Grammarly offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of theFortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 14 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The Opportunity

To achieve our ambitious goals, we’re looking for a Software Engineer to join our Data Platform team and help us build a world-class data platform. Grammarly’s success depends on its ability to efficiently ingest over 60 billion daily events while using our systems to improve our product. This role is a unique opportunity to experience all aspects of building complex software systems: contributing to the strategy, defining the architecture, and building and shipping to production.

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

We are seeking a highly skilled and experienced Manager for our Data Platform team to achieve our ambitious objectives. This role is crucial in managing and evolving our data infrastructure, engineering, and governance processes to support modern machine learning (ML) use cases, self-serve analytics, and data policy management across the organization. The ideal candidate will possess strong technical expertise, exceptional leadership abilities, and the capability to mentor and develop a high-performing team that operates across data infrastructure, engineering, and governance.

This person will be integral to the larger data organization, reporting directly to the Director of Data Platform. They will have the opportunity to influence decisions and the direction of our overall data platform, including data processing, infrastructure, data governance, and analytics engineering. Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure.

As the Data Platform team manager, you will lead and mentor a team of data engineers, infrastructure engineers, and data governance specialists, fostering a collaborative and innovative environment focused on professional growth. You will oversee the design, implementation, and maintenance of secure, scalable, and optimized data platforms, ensuring high performance and reliability. Your role includes developing and executing strategic roadmaps aligned with business objectives and collaborating closely with cross-functional teams and the larger data organization to ensure seamless data integration, governance, and access. Additionally, you will provide technical leadership and play a pivotal role in resource management and recruiting efforts, driving the team’s success and aligning with the organization’s long-term data strategy.

In this role, you will:

• Build a highly specialized data platform team to support the growing needs and complexity of our product, business, and ML organizations.
• Oversee the design, implementation, and maintenance of a robust data infrastructure, ensuring high availability and reliability across ingestion, processing, and storage layers.
• Lead the development of frameworks and tooling that enable self-serve analytics, policy management, and seamless data governance across the organization.
• Ensure data is collected, transformed, and stored efficiently to support real-time, batch processing, and machine learning needs.
• Act as a liaison between the Data Platform team and the broader organization, ensuring seamless communication, collaboration, and alignment with global data strategies.
• Drive cross-functional meetings and initiatives to represent the Data Platform team’s interests and contribute to the organization’s overall data strategy, ensuring ML and analytics use cases are adequately supported.
• Drive the evaluation, selection, and implementation of new technologies and tools that enhance the team’s capabilities and improve the organization’s overall data infrastructure and governance processes.
• Implement and enforce data governance policies and practices to ensure data quality, privacy, security, and compliance with organizational standards.
• Collaborate with stakeholders to define and refine data governance policies that align with business objectives and facilitate discoverability and accessibility of high-quality data.
• Monitor and assess the data platform's performance to identify areas for optimization, cost management, and continuous improvement.
• Foster a collaborative and high-performance culture within the team, emphasizing ownership and innovation.
• Cultivate an ownership mindset and culture across product and platform teams by providing necessary metrics to drive informed decisions and continuous improvement.
• Set high performance and quality standards, coaching team members to meet them, and mentoring and growing junior and senior IC talent.

Qualifications

• 7+ years of experience in data engineering, infrastructure & governance, with at least 2-3 years in a leadership or management role.
• Proven experience in building and managing large-scale data platforms, including data ingestion pipelines and infrastructure.
• Experience with cloud platforms and data ecosystems such as AWS, GCP, Azure, and Databricks.
• Familiarity with modern data engineering and orchestration tools and frameworks (e.g., Apache Kafka, Airflow, DBT, Spark).
• Strong understanding of data governance frameworks, policy management, and self-serve analytics platforms.
• Excellent leadership and people management skills, with a track record of mentoring and developing high-performing teams.
• Experience working with geographically distributed teams and aligning with global data and governance strategies.
• Strong problem-solving skills, with the ability to navigate and resolve complex technical challenges.
• Excellent communication and collaboration skills, with the ability to work effectively with stakeholders across different locations and time zones.
• Proven ability to operate in a fast-paced, dynamic environment where things change quickly.
• Leads by setting well-understood goals and sharing the appropriate level of context for maximum autonomy, but is also profoundly technical and can dive in to help when necessary.
• Embodies our EAGER values—ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.

Compensation and Benefits

Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more: 

• Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
• Disability and life insurance options
• 401(k) and RRSP matching 
• Paid parental leave
• 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
• Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
• Annual professional development budget and opportunities

Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.

Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.  

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).

ABOUT THE ROLE

Galileo is looking for a Senior Product Manager to lead our patient experience team and build an engaging and streamlined acquisition and retention platform that improves healthcare quality and experience for all. Specifically, this product manager will own the strategy and execution of our iOS and Android patient-facing mobile applications and the web-based patient platform. The patient-facing user journey is a critical, high-impact, and high-visibility part of the Galileo product suite. 

What you’ll do

• Be relentlessly focused on creating products and capabilities that deliver a human-centric, innovative patient experience and leverage for clinicians over time 
• Act as the product owner, developing business cases, vetting opportunities, and ensuring work is prioritized in a logical way that meets the needs of the business and our patients
• Define core product metrics and collaborate with partner teams to ensure data logging and monitoring – this position will have a data-centric mindset that cares deeply about understanding the performance of its products 
• Work in close partnership with Data, Engineering, and Design to define product requirements and design considerations for all patient products 
• Participate in the agile software process including sprint planning, refinement, and retrospectives – with an eye on empowering your team to deliver high-quality work and continually improve
• Develop a deep understanding of our members to architect a cohesive, engaging, and supportive patient experience 

We’re eager to hear from you if:

• You have 5-8 years of in-role experience as a product manager 
• You have experience creating patient-facing products in a health-tech company. Additionally, fluency with ML-based product development is a plus
• You have experience with mobile application delivery through the Apple App Store and Google Play and mobile beta testing platforms, such as TestFlight
• You have analytical process improvement skills and aren’t afraid to roll up your sleeves in the spirit of optimization
• You’ve leveraged product analytics tools such as Mixpanel, Google Analytics, or Looker – and have demonstrated an ability for data-driven decision-making based on those insights
• You’re highly proficient with cross-functional collaboration and communication. You have a strong orientation toward problem-solving and decision-making in an open, collaborative environment and focus on making decisions that benefit our patients and the organization as a whole
• You’ve got a true ownership mindset regarding outcomes of what you build (successes and failures), as well as high standards for design and usability
• You are goal-driven, detail-oriented, and highly organized.
• You understand that the best ideas can come from anywhere and you foster a culture of innovation that leads to the best products and attracts the best team.
• You anticipate roadblocks and drive toward collaborative solutions to unblock your team. 
• You ruthlessly prioritize in collaboration with cross-functional peers. You balance quick wins with long-term platform investments appropriately. You know how to sequence projects and cut the ones that aren’t making an impact.
• You have a demonstrated track record of owning and maintaining a clear, prioritized backlog for the engineering team.

COMPENSATION RANGE:  

$195,000 + equity 

 BENEFITS

• Medical / Dental / Vision insurance
• Flexible Spending Account
• Health Savings Account + match
• Company paid STD/LTD, AD&D, and Life insurance
• Paid Family Leave
• 401K + match
• Paid Time Off

OVERVIEW

Instacart’s core product is grocery delivery. Grocery delivery relies on high quality shoppers picking, paying for, and delivering grocery orders to customers. The Shopper team builds the technology to power each of these steps with the Engagement team focusing on helping shoppers find meaningful, rewarding, and fair work opportunities to put money in their pockets and deliver top shelf service for customers.

ABOUT THE JOB

You would be responsible for driving Engagement data science work which includes:

1. Product strategy: Using data to identify the most promising opportunity areas along with contributing data expertise to refine and develop new product ideas
2. Impact sizing: Providing an estimated impact of implementing a new feature
3. Impact measurement: Running an experiment to determine the actual impact of newly launched product features
4. Intelligent systems: Improving a product feature by adding intelligent functionality to the product that relies on data science methods including statistical and machine learning methods

The two most important responsibility areas of this role are product strategy and intelligent systems.

Product strategy: The best products are built with diversity of thought. Data scientists uniquely understand the available data, the business domain, and the advanced methods that can be applied to the data to drive the desired business outcome. There are two primary methods data scientists would add value in product strategy:

1. Clearly articulate the right problem to solve to the team by providing a data-driven understanding of the problem area with the team as well as convincing the team of the most promising opportunity areas within the problem space
2. Contribute product ideas that leverage intelligent systems to solve the problems identified while collaborating closely with product, research, design, and engineering teams on the overall solution.

Intelligent systems: Intelligent systems make products smarter by combining deep domain expertise with advanced statistical or ML approaches. Data scientists are uniquely positioned to combine their understanding of the domain and advanced statistical methods to rapidly iterate on different approaches to building an intelligent system to solve an ambiguous problem. They would invest time in creating the initial version of the intelligent systems while partnering with MLEs and SWEs to maximize the impact, scalability, and maintainability of the system.

The role requires strong XFN collaboration where an ideal candidate can:

1. Drive critical efforts to completion with little oversight, while occasionally jumping into roles adjacent to data science (i.e. data engineering, machine learning engineer, etc).
2. Bring new ideas to the team that get incorporated into the product roadmap
3. Ruthlessly prioritize among requests from multiple competing stakeholders
4. Act as a senior cross-functional leader of the team, aligning the team on principles, processes and goals, and mentoring junior colleagues

About the Team

You will be joining a growing data science team and will tackle some of the most challenging and impactful problems that are transforming how people buy groceries every day. You will be embedded within our data-driven product team as a trusted partner in uncovering barriers in the product’s usability and utilize these insights to inform product improvements that drive angle-changing growth. We’re looking for a self-driven, strategic thinker who can hit the ground running to ultimately influence decision-making across the entire organization.

ABOUT YOU

Minimum Qualifications

• 6+ years of work experience in a data science or related field
• Led a team to adopt at least one new metric with which to measure the performance of the team
• Ran several sophisticated A/B tests at a company
• Built a machine learning or statistical model that made its way into production even if the code you wrote was completely rewritten before being deployed
• Experience with Python (pandas), SQL, git, and Jupyter notebooks

Preferred Qualifications

• 8+ years of work experience in a data science or related field
• Led a cross-functional team to design a system of metrics that connected the business strategy to a set of core metrics and assigned ownership of those metrics to the team
• Significant causal experimentation experience in environments with small sample sizes  
• Built a complex machine learning or statistical model and deployed/supported it in production
• Experience with Python (pandas; scikit-learn, statsmodels, or PyTorch; a visualization library that is not matplotlib; a web framework such as flask), SQL (Snowflake), git, Jupyter notebooks

*This position can be remote within the US*

Who we are...

In a world of constant change, we're leading the charge towards truly autonomous enterprises. Our cutting-edge platform harnesses the power of automation and generative AI to revolutionize how businesses manage and optimize their IT operations.

We're not just adapting to digital transformation—we're accelerating it. Our solutions bring business and operations leaders together, unlocking new levels of innovation, efficiency, and scalability. We empower organizations to deliver superior customer experiences and drive revenue growth in an always-on, always-mobile world.

At ScienceLogic, we're building the foundation for Autonomic IT—a future where IT operations are self-healing, self-optimizing, and aligned perfectly with business objectives. Our team of visionaries is reshaping the $18+ billion IT operations market, creating cost-optimized, efficient, and next-level capabilities for enterprises worldwide.

What we’re looking for…

The ScienceLogic SL1 product has been recognized as an industry leader in the emerging space of AIOps – technologies that leverage ML-based insights to deliver increasingly autonomous, self-healing IT services. We’re looking for a world-class product leader to take the reins of the flagship SL1 product – and evolve it to meet the needs of current and future enterprise customers for the next decade. Successful candidates will possess exemplary technical depth, IT domain expertise, and a passion for product and engineering excellence - as well as a proven track record for delivering modern, cloud-based enterprise services. The VP Product will report to the CPO and have primary responsibility for guiding the strategy and delivery of SL1.

What you'll be doing...

• Define the strategic direction for ScienceLogic SL1 – core platform as well as UI/UX – including technologies around collection/ingestion, transport, data model and storage, programming interface, and runtime architecture (container-based microservices).
• Lead and grow a team of high-performance engineers and product managers. Ensure efficiency and predictability of execution through clear accountability, goals, standards, and metrics.
• Develop strong partnerships with global sales, marketing, and engineering teams to create products that deliver on the company’s revenue, margin and broader business objectives.
• Reinforce a culture composed of accountability, customer-focus, and passion for excellence.
• Work with the CPO, executive/senior leadership team, and other stakeholders to ensure alignment of high value projects to revenue generation and business objectives.
• Manage capacity, capability, and availability to ensure resource allocation meets aggressive growth business commitments. Communicate plans and roadmaps to all constituents on a timely basis.
• Mentor and coach the product teams on developing a culture of product innovation.

Qualities you possess...

• Advanced degree in technical/business discipline and 15+ years product and technology leadership experience.
• Experience with the ITOM, ITSM, and/or related infrastructure monitoring technologies/products.
• Extensive experience and industry knowledge with large-scale cloud architecture, AI/ML, application, network infrastructure and data center management software.
• Proven ability to lead and manage cross-functional geographically distributed teams in Product Management and/or Engineering.
• Solid understanding of best practices in platform engineering – delivering well-factored services, with clean separation of concern, and comprehensive programmability model.
• Track record of bringing new products to market on-time and on-budget in order to achieve market success.
• Operational familiarity with next generation SDLC methodologies – Agile, CI/CD, DevOps, etc.
• Outstanding business judgment, interpersonal, collaboration and team building skills.
• Experience and credibility in communicating with executive team and board of directors.
• Strong track record of presenting technology and displaying thought leadership both internally and externally to industry groups, partners and customers.
• Superb written and verbal communication skills and a demonstrated ability to collaborate across multiple functions and geographies while delivering meaningful, high-impact results Thought leader, ability to influence outcomes and quickly turn data into business insights
• Strong mentoring competencies and core values.

Benefits & Perks

• A remote-first culture - work from home or come into the office, it's totally up to you.
• Comprehensive medical, dental and vision plans.
• 401(k) plan with employer match.
• Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize.
• Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization.
• 5-year Service Milestone Sabbatical.
• Paid parental leave.
• Generous employee referral bonus program.
• Pet insurance.
• HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays.
• Regular virtual company-wide events, including cooking classes, yoga, meditation and more.
• The opportunity to learn and develop from some of the best and brightest minds in the industry!

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At ScienceLogic, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which you are applying.

About ScienceLogic

ScienceLogic empowers intelligent, automated IT operations, freeing up time and resources, and driving business outcomes with actionable insights. ScienceLogic’s AIOps platform sees broadly across clouds and on-premises, enabling business service visibility with relationship mapping, and workflow automation to eliminate manual tasks. Trusted by thousands of organizations across the globe, ScienceLogic’s technology has been proven for scale by the world’s largest service providers, enterprises and government agencies.

www.sciencelogic.com

All ScienceLogic employees have the responsibility to protect information assets, adhere to access controls, report suspicious activity, and comply with security and privacy policies.

#LI-Remote

Location:Working from home office in Brazil

Work Status:CLT- Podium has an entity in Brazil!

The Role:

Podium is looking for a talented Senior Backend Python Engineer with an interest in building agentic applications using large language models (LLMs). In this role, you will be joining a team of engineers tasked with empowering local businesses by creating AI agents that efficiently handle customer interactions to optimize operations and reclaim valuable time. If you are passionate about tackling complex challenges, thrive in a fast-paced, iterative environment, and have a knack for breaking down intricate problems, we think you’ll be a great fit.

What you will be doing:

• Develop and deploy advanced agentic applications powered by large language models to help local businesses automate interactions and manage leads.
• Drive the entire lifecycle of AI agent development, from conception and design to implementation and maintenance.
• Engage in rapid prototyping and iterative development to refine AI solutions based on real-world performance and feedback.
• Implement monitoring and evaluation systems to track the effectiveness of AI agents in production, ensuring high reliability and user satisfaction.
• Contribute to a culture of innovation by staying current with industry trends in generative AI and applying cutting-edge research to practical business solutions.

What you should have:

• 5+ years of hands-on programming experience with at least one modern language such as Python, Go, or Elixir.
• Hands-on experience training, fine-tuning, and/or deploying LLM applications in production environments.
• Strong analytical and problem-solving skills, with a proven ability to decompose complex issues and drive innovation in a highly iterative development process.
• Excellent communication skills and the ability to work effectively in a team setting.
• Ability to solve ambiguous problems and thrive in a fast-paced environment.

What we hope you have:

• 5+ years of experience contributing to the architecture and design of large-scale distributed systems and/or ML systems and tools.
• Proficiency in Python, with a track record of developing AI-driven applications using this language.
• Exceptional writing abilities with the capacity to craft and optimize prompts for generative AI models.
• Experience with deploying, monitoring, debugging, and evaluating AI agents in production environments is a huge bonus.
• Knowledge of machine learning operations (MLOps) practices.

BENEFITS

• Open and transparent culture
• Remote-first work for Engineering & Product
• Generous vacation time, plus Brazilian national holidays off
• Competitive salary, CLT contract
• Meal ticket
• Corporate Gympass membership
• Medical and odontologic assistance
• Growth and aggressive career plan
• Bi-annual swag drops with cool Podium gear and apparel

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

????London/Cardiff/UK Remote | ???? £135,000-165,000 + Benefits | Hear from the team ✨

⭐About Ops Data:

Our Operations Data team consists of over 35 people across 4 data specialisms: Analytics Engineers, Data Analysts, Machine Learning Scientists and Data Scientists.

In our Operations Collective you'll have the opportunity to embed into an area that is the heart of how we work with our customers’ problems - and is full of data challenges. Machine Learning supports all aspects of Operations, from workforce planning, to customer support experience, to enabling teams to work effectively and efficiently.

????You’ll play a key role by...

As a Senior Lead ML Scientist, you’ll be on of the most senior Individual Contributors (IC) in the organisation, giving you a real opportunity to lead us into an exciting new phase of optimising Customer Operations, enabling us to craft a world-class support experience for over 9 million customers across the UK, and beyond as we continue to grow. 

You’ll provide key technical leadership and ship highly impactful ML-based solutions. You’ll be empowered to work across the collective identifying the most impactful areas and pushing solution development forward while mentoring and levelling up less experienced ML practitioners. You’ll also impact how people across Monzo use ML tools to improve customer outcomes, including LLMs, which have their heaviest use within the Operations team.

Machine Learning Scientists at Monzo work end to end, so you’ll have the opportunity to collaborate across not only the data disciple, but with cross-functional squads, to deliver real-time models all the way to actual value

????We’d love to hear from you if…
What we’re doing here at Monzo excites you!

• You have a multiple year track record of excellence leading the technical work of a team in the development and deployment of advanced Machine Learning models tackling real business problems, preferably in a fast moving tech company
• You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You have a solid grounding in SQL and Python, are comfortable using them every day, and keen to learn Go lang which is used in many of our microservices 
• You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact
• You are comfortable exploring potentially ambiguous business problems within a complex and rapidly growing organisation
• You're excited about the potential of machine learning and can communicate those ideas to colleagues who are not familiar with the domain
• You’re adaptable, curious and enjoy learning new technologies and ideas
• You have experience in, and a passion for, mentoring other ML practitioners, sharing knowledge and raising the technical bar across the team
• You’re comfortable moving across teams within a larger organisation, optimising for where you can be most impactful and tracking multiple projects at once

Nice to haves:

• Experience working within large Customer Support and internal product spaces
• Experience with NLP tasks
• You have commercial experience writing critical production code and working with microservices

????What’s in it for you

✈️ We’ll help you relocate to the UK. 

✅ We can sponsor your visa.

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London) 

⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 

????£1,000 learning budget each year to use on books, training courses and conferences.

????We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. 

➕ Plus lots more! Read our full list of benefits.

????Our interview process involves 3 main stages. 

We promise not to ask you any brain teasers or trick questions!

• 30 minute recruiter call 
• 45 minute call with hiring manager 
• 1 take home task 
• 3 x 1-hour video calls with various team members

Our average process takes around 3-4 weeks but we will always work around your availability.

You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com

We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. 

#LI-REMOTE #LI-NJ1

Grammarly team members in this role must be based in San Francisco, and they must be able to collaborate in person at least 2 weeks per quarter, traveling if necessary to the hub(s) where the team is based.

This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of theFortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 14 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

To achieve our ambitious goals, we’re looking for a Software Engineer to join our Data Platform team and help us build a world-class data platform. Grammarly’s success depends on its ability to efficiently ingest over 60 billion daily events while using our systems to improve our product. This role is a unique opportunity to experience all aspects of building complex software systems: contributing to the strategy, defining the architecture, and building and shipping to production.

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

As a Software Engineer on the Data Platform team, you will contribute to building the scalable, secure, and efficient data systems that power our entire organization. You’ll work on designing and implementing critical data infrastructure and systems that enable real-time and batch processing, data analytics, and machine learning workflows. This role offers the opportunity to rapidly grow your data engineering and back-end infrastructure skills while working alongside experienced engineers.

You will be able to work with cutting-edge technologies and tools, contributing to projects that handle large-scale data pipelines, build secure and compliant data systems, and improve our data platform’s performance and scalability. In this role, you will:

• Build and maintain key components of the data platform, including data pipelines and infrastructure for data storage, processing, and delivery.
• Learn and apply concepts in data engineering, such as distributed data processing, real-time data streams, and batch processing.
• Work with technologies like Spark, Kafka, SQL, and cloud platforms (AWS) to deliver scalable and reliable data systems.
• Collaborate with cross-functional teams, including data scientists, ML engineers, and back-end developers, to help build data-driven solutions and tools.
• Ensure that systems are scalable and performant, contributing to the overall reliability and efficiency of the data platform.

Qualifications

• Has 2-5 years of software engineering experience, with an aptitude for data infrastructure or data engineering.
• Is a fast learner who is eager to develop their skills in building large-scale distributed systems and data platforms.
• Has experience with some of the following: Python, Java, Scala, SQL, or cloud technologies (AWS, GCP, Azure).
• (Preferably) understands basic data concepts such as data pipelines, ETL processes, and real-time/batch data processing.
• Is familiar with data technologies like Spark, Kafka, Kinesis, or similar tools, and is interested in expanding their knowledge in these areas.
• Has strong problem-solving skills and is passionate about learning how to build and scale data systems.
• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.
• Is able to meet in person for their team’s scheduled collaboration weeks, traveling if necessary to the hub where their team is based.

Compensation and Benefits

Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more: 

• Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
• Disability and life insurance options
• 401(k) and RRSP matching 
• Paid parental leave
• 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and unlimited sick days 
• Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
• Annual professional development budget and opportunities

Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations. 

Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.

For more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information. 

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).

About the Role:

Bloomreach is solving one of the digital world’s most fundamental problems: helping people instantly find what they need when they need it. We are seeking a Senior Software Engineerto join our Search Intelligence team, who will play a crucial role in advancing our search and personalization capabilities. The team focuses on designing, building, and enhancing semantic understanding, query parsing and processing, and language modeling within the search system. Your contributions will include the development of new recall and ranking search algorithms, as well as the implementation of machine learning and LLM models to optimize the digital experience for commerce. You will be responsible for designing and architecting core components for new features, aiming to improve the performance of existing high-traffic, highly available search APIs. You will be at the forefront of developing innovative solutions to enhance search capabilities, utilizing cutting-edge technologies to ensure users can instantly access what they need. This role offers an exciting opportunity to contribute to the core of our product, applying your expertise to improve search functionalities and redefine the digital shopping experience.

What you'll do:

• Design and implement recall and ranking search algorithms, leveraging the latest LLM models to optimize the digital experience for commerce
• Build, maintain, and scale data processing pipelines for Search in an efficient and reliable way
• Partner with the Product team to understand requirements and use cases, Lead and engage cross-functional engineering teams to plan and drive end to end execution of projects
• Participate in lean and agile development process in an automation- and monitoring-driven environment, from planning, scoping, estimation all the way to optimization, maintenance, and support
• Acquire proficiency and apply GenAI/LLM technologies to enhance search relevance, ultimately boosting revenue for Bloomreach customers
• Steward an extremely high bar of technical excellence for the company to drive innovation in the search and personalization space

What you'll need:

• Bachelor's or Master's degree in Computer Science or related fields.
• 4+ years of hands-on experience in Java or another object-oriented language, working with cloud providers (AWS, GCP) and building enterprise software products.
• Experience with open source search engines (Solr, ElasticSearch) as well as big data and large-scale data processing technologies (Hadoop, Spark, Kafka).
• Proven track record in developing and maintaining distributed systems at scale in a production environment.
• Extensive background in data structures and algorithms with strong software architecture skills.
• Familiarity with the machine learning algorithms and tools, and keen interest for staying up-to-date with the latest advancements in search/GenAI/LLM  technologies, and related fields.
• Experience working with Data Science teams to implement ML models in real-time serving is a plus.
• Startup experience in a fast-paced growth company is highly desirable but not required.

Excited? Join us and transform the future of commerce experiences.

The base salary range for this position is $135,000-$185,000. The pay range actually offered will take into account a variety of potential factors considered in compensation, including but not limited to skills, qualifications, geographic location, accomplishments, experience, credentials, internal equity and business needs, and may vary from the range listed above.

Regional benefits:

• Health care including medical, dental, and vision insurance
• 401k plan with employer contribution

Agile Six is a people-first, remote-work company that serves shoulder-to-shoulder with federal agencies to find innovative, human-centered solutions. We build better by putting people first. We are animated by our core values of Purpose, Wholeness, Trust, Self-Management and Inclusion. We deliver our solutions in autonomous teams of self-managed professionals (no managers here!) who genuinely care about each other and the work. We know that’s our company’s purpose – and that we can only achieve it by supporting a culture where people feel valued, self-managed, and love to come to work.

The role

Agile Six is seeking a Senior Data Analyst, Healthcare to join an agile, cross functional team supporting the Department of Veteran Affairs. Our team will work closely with the client to identify key challenges, conduct research, and develop AI-driven solutions including machine learning models and AI tools. We will integrate these into existing systems while adhering to strict data security and ethical AI guidelines. This role will be hands on with clinical data, employee data, end-user data; and LLMs and other machine learning tools.

This is a Key Personnel role, as stipulated by our contract, considered "essential to work performance". The resumes of Key Personnel are subject to government review and approval, and any changes to Key Personnel (such as voluntary or involuntary separation) may require government oversight.

Please note, this position is anticipated, pending contract award response.

Responsibilities

• Develop a deep understanding of relevant data available.
• Conduct research with stakeholders to develop machine learning models to support their use cases.
• Assess and analyze data from existing systems, including, but not limited to, EHRs Chatbots, customer support , and adjudication systems.
• Clean and prepare data, including clinical data for use in risk prediction and other models.
• Ensure solutions are consistent with Trustworthy AI Framework.
• Evaluate AI based solutions for accuracy, relevancy, and usability.
• Support the practice of data analysis within the larger company as needed through activities such as:
  • Assisting in outreach, recruitment, and hiring efforts
  • Occasionally participating in or otherwise supporting business development efforts, including code or design challenges, writing or reviewing proposal responses, etc.
  • Participating in communities of practice
• We expect the responsibilities of this position to shift and grow organically over time, in response to considerations such as the unique strengths and interests of the selected candidate and other team members and an evolving understanding of the delivery environment.

Basic qualifications

• Experience deriving insights from unstructured and structured healthcare data, ability to effectively communicate those insights to stakeholders and clinical leaders.
• 9 years of experience in data science and machine learning.
• Experience working with healthcare terminology standards: ICD-10, CPT, LOINC, RxNorm, SNOMED*.*
• Experience in leveraging R, Python, or SQL/NoSQL to do data analysis, profiling, cleaning, and aggregation
• Data management experience; Ability to read and write complex SQL queries, ability to navigate and profile existing data sources
• Experience in an open-source, collaborative development environment
• Ability to be autonomous, take initiative, and effectively communicate status and progress
• Adaptive, empathetic, collaborative, and holds a positive mindset
• Has lived and worked in the United States for 3 out of the last 5 years
• Some of our clients may request or require travel from time to time. If this is a concern for you, we encourage you to apply and discuss it with us at your initial interview

Additional desired qualifications

• Experience working with healthcare data from VHA.
• Experience working with government agencies
• You are a U.S. Veteran. As a service-disabled veteran-owned small business, we recognize the transition to civilian life can be tricky, and welcome and encourage Veterans to apply

At Agile Six, we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. Even if you don't meet every requirement, we encourage you to apply. We’re eager to meet people who believe in our mission and who can contribute to our team in a variety of ways.

Salary and Sixer Benefits

To promote equal pay for equal work, we publish salary ranges for each position.

The salary for this position is $163,506 - $171,891. 

Our benefits are designed to reinforce our core values of Wholeness, Self Management and Inclusion. The following benefits are available to all employees. We respect that only you know what balance means for your life and season. While we offer support from coaches, we expect you to own your wholeness, show up for work whole, and go home to your family the same. You will be seen, heard and valued. We expect you to offer the same for your colleagues, be kind (not controlling), be caring (not directive) and ready to participate in a state of flow. We mean it when we say “We build better by putting people first”.

All Sixers Enjoy:

• Self-managed work/life balance and flexibility
• Competitive and equitable salary (equal pay for equal work)
• Employee Stock Ownership (ESOP) for all employees!
• 401K matching
• Medical, dental, and vision insurance
• Employer paid short and long term disability insurance
• Employer paid life insurance
• Self-managed and generous paid time off
• Paid federal holidays and Election day off
• Paid parental leave
• Self-managed professional development spending
• Self-managed wellness days

Hiring practices

Agile Six Applications, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.

Note: We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Unfortunately, we are unable to sponsor visas at this time.

If you need assistance or reasonable accommodation in applying for any of these positions, please reach out to careers@agile6.com. We want to ensure you have the ability to apply for any position at Agile Six.

Please read and respond to the application questions carefully. Interviews are conducted on a rolling basis until the position has been filled.

Agile Six is a people-first, remote-work company that serves shoulder-to-shoulder with federal agencies to find innovative, human-centered solutions. We build better by putting people first. We are animated by our core values of Purpose, Wholeness, Trust, Self-Management and Inclusion. We deliver our solutions in autonomous teams of self-managed professionals (no managers here!) who genuinely care about each other and the work. We know that’s our company’s purpose – and that we can only achieve it by supporting a culture where people feel valued, self-managed, and love to come to work.

The role

Agile Six is seeking aSenior Data Scientistto join an agile, cross functional team supporting the Federal Government customers in creating AI-enabled solutions to create better services for beneficiaries, patients, and employees, reduce healthcare provider burnout, and improve care quality. Our team will work closely with the client to identify key challenges, conduct research, and develop AI-driven solutions including machine learning models and AI tools. We will integrate these into existing systems while adhering to strict data security and ethical AI guidelines. This role will be hands-on using commercial and open source LLMs, Prompt Engineering, RAG architectures, and other machine learning tools.

Please note, this position is anticipated, pending contract award response.

Responsibilities

• Assessing AI-enabled approaches to specific problems is appropriate. Advising stakeholders where AI-enabled approaches may and may not be appropriate.
• Evaluating and selecting specific Machine Learning (ML)-based approaches.
• Developing solution prototypes and minimum viable products for testing with users.
• Conducting research with stakeholders to engineer prompts for large language model (LLM)-based tools
• Customizing commercial LLMs to meet the needs of VA employees, including tuning, prompt engineering, and integration with existing VA systems.
• Support the practice of data science within the larger company as needed through activities such as:
  • Assisting in outreach, recruitment, and hiring efforts
  • Occasionally participating in or otherwise supporting business development efforts, including code or design challenges, writing or reviewing proposal responses, etc.
  • Participating in communities of practice
• We expect the responsibilities of this position to shift and grow organically over time, in response to considerations such as the unique strengths and interests of the selected candidate and other team members and an evolving understanding of the delivery environment.

Basic qualifications

• Experience implementing LLM based applications or services; including model and toolchain selection.
• Experience enhancing LLMs with external knowledge bases or databases, and fine-tuning pre-trained LLMs on domain-specific data or tasks, improving their performance and accuracy for specialized use cases.
• 9 years of experience in data science and machine learning.
• Knowledge of cloud platforms for machine learning; including SageMaker and Azure Machine Learning.
• Experience with Machine Learning and Deep Learning Algorithms, and applying them to production solutions.
• Familiarity with privacy-preserving tools and handling PII.
• Excellent communication skills, ability to document and present complex technical options and trade-offs to engineering and non-technical audiences.
• Experience in an open-source, collaborative development environment
• Ability to be autonomous, take initiative, and effectively communicate status and progress
• Adaptive, empathetic, collaborative, and holds a positive mindset
• Has lived and worked in the United States for 3 out of the last 5 years
• Some of our clients may request or require travel from time to time. If this is a concern for you, we encourage you to apply and discuss it with us at your initial interview

Additional desired qualifications

• Experience working with healthcare terminology standards, e.g. ICD-10, CPT, LOINC, RxNorm, SNOMED
• Experience working with government agencies
• You are a U.S. Veteran. As a service-disabled veteran-owned small business, we recognize the transition to civilian life can be tricky, and welcome and encourage Veterans to apply

At Agile Six, we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. Even if you don't meet every requirement, we encourage you to apply. We’re eager to meet people who believe in our mission and who can contribute to our team in a variety of ways.

Salary and Sixer Benefits

To promote equal pay for equal work, we publish salary ranges for each position.

The salary for this position is $163,506 - $171,891. 

Our benefits are designed to reinforce our core values of Wholeness, Self Management and Inclusion. The following benefits are available to all employees. We respect that only you know what balance means for your life and season. While we offer support from coaches, we expect you to own your wholeness, show up for work whole, and go home to your family the same. You will be seen, heard and valued. We expect you to offer the same for your colleagues, be kind (not controlling), be caring (not directive) and ready to participate in a state of flow. We mean it when we say “We build better by putting people first”.

All Sixers Enjoy:

• Self-managed work/life balance and flexibility
• Competitive and equitable salary (equal pay for equal work)
• Employee Stock Ownership (ESOP) for all employees!
• 401K matching
• Medical, dental, and vision insurance
• Employer paid short and long term disability insurance
• Employer paid life insurance
• Self-managed and generous paid time off
• Paid federal holidays and Election day off
• Paid parental leave
• Self-managed professional development spending
• Self-managed wellness days

Hiring practices

Agile Six Applications, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.

Note: We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Unfortunately, we are unable to sponsor visas at this time.

If you need assistance or reasonable accommodation in applying for any of these positions, please reach out to careers@agile6.com. We want to ensure you have the ability to apply for any position at Agile Six.

Please read and respond to the application questions carefully. Interviews are conducted on a rolling basis until the position has been filled.

Grammarly is excited to offer aremote-first hybrid working model. Grammarly team members in this role must be based in the United States, and depending on business needs, they must meet in person for collaboration weeks, traveling if necessary to the hub(s) where their team is based.

This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of theFortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 7 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The Opportunity

To achieve our ambitious goals, we’re looking for a Machine Learning Engineer specializing in NLP to join our Enterprise team in building new products and capabilities for our Enterprise customers. The person in this role will work with a high–performing team of Engineers, Product Designers, Computational and Analytical Linguists, Data Scientists, and Product Managers to build new AI products that improve communication in our customer organizations.

At Grammarly, we work in small, cross-functional project teams to leverage state-of-the-art ML advances, deep linguistic expertise, and human-centered product design. The person in this role will apply ML to solve new and challenging problems and build the infrastructure and systems to operate solutions effectively at scale. This will involve working on a highly cross-functional team in close partnership with Analytical Linguists, Computational Linguists, Data Scientists, and more.

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

Qualifications

• Understands traditional machine learning algorithms and state-of-the-art techniques—including deep learning—and how to use them effectively.
• Has a deep understanding of modern algorithms for and approaches to ML and NLP.
• Has experience building LLM-based products and evaluating the performance of LLMs.
• Is comfortable reading academic papers and can take exciting ideas and apply them.
• Understands data structures and algorithms at a level sufficient to write performant code when working with large datasets or sizeable incoming data streams.
• Is highly entrepreneurial, energetic, and creative, and is comfortable working in a fast-paced environment with high levels of ambiguity and evolving product requirements.
• Can communicate with other humans more effectively than a generative AI system can.
• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.
• Is able to meet in person for their team’s scheduled collaboration weeks, traveling if necessary to the hub where their team is based.

Compensation and benefits

Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more: 

• Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
• Disability and life insurance options
• 401(k) and RRSP matching 
• Paid parental leave
• Twenty days of paid time off per year, eleven days of paid holidays per year, and unlimited sick days 
• Home office stipends
• Caregiver and pet care stipends
• Wellness stipends
• Admission discounts
• Learning and development opportunities

Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US and Canada locations are categorized into compensation zones based on each geographic region’s cost of labor index. For more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information. 

Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future. 

For more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information. 

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).

#NA

#LI-CC1

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. 

Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

The Head of Data Science is a leadership role responsible for developing and the ongoing operation of the company's tools, technologies, and technical solutions leveraging data science, advanced analytics, machine learning, generative AI, and other algorithms. In addition, the VP of Data Science is responsible for the ongoing strategic advancement of the company's data science capabilities.

As the VP of Data Science, you will be responsible for defining the roadmap for your team and partnering with Product and Engineering to materialize those initiatives.

Responsibilities: 

• Partner with senior business, product, and engineering leaders to develop strategic goals and direction needed to continuously enhance the company's technology platforms
• Be a technical leader for the data science team, helping institute best engineering practices (coding standards, automated testing, scalability) and grow the technical capabilities of the team
• Ensure data best practices and play a critical role in building a data-driven culture throughout the entire organization
• Partner with senior business, product, and engineering leaders to develop strategic goals
• Partner with the technology leadership team to create a long-term vision and develop a roadmap of data science projects
• Conceive, develop, implement, and continually improve machine learning projects
• Leverage skills, experience, and creativity to apply data science to tackle interesting and challenging problems
• Develop new capabilities to deliver business solutions by applying data science algorithms
• Build and lead a high-performing team of data scientists, helping to enhance their skills while creating a fun and engaging culture that helps them prosper
• Foster career growth and provide thoughtful mentorship to develop employees at varying levels of experience. Establish a clear vision and mission for the data science department
• Work with cross-functional partners and executives in product, engineering, operations, finance, and marketing to define and achieve business goals and to build data-informed business strategies and roadmaps
• Determine leveraging data science, machine learning, and other analytical techniques to improve product features and capabilities. Provide leadership on how to leverage data and data expertise to improve the customer experience
• Develop analytical frameworks, models, roadmaps, and metrics for the team and broader organization
• Serve as a champion for data science and informed decision-making at all levels of the company. Make analytical techniques approachable and understandable to non-data scientists
• Lead the end-to-end planning and execution of all data analytics and sciences initiatives

Qualifications:

• 10+ years of advanced analytics or data science experience
• Master’s degree in Computer Science, Statistics, Machine Learning, Mathematics, or any other related quantitative field
• 5+ years of management experience in leading data science teams with a successful track record in building teams, defining goals and overseeing execution
• 5+ years of experience within cybersecurity or a directly correlated industry
• Proven track record of solving ambiguous and complex data problems at scale, strong quantitative modeling skills inclusive of machine learning
• Strong interpersonal and communication skills. You are equally comfortable presenting to executives and peers as you are writing complex SQL queries
• Business Acumen – Proven ability to apply data science capabilities to solve practical business problems
• Product Sense - Understanding of a product planning process, ability to influence product strategies and roadmaps, strong collaboration skills
• Expert level knowledge in predictive analytics, machine learning, and data mining
• Proficiency in Python, Spark, Notebooks, AWS, Generative AI models, etc.
• Data & ML Architecture – Experienced integrating data science applications into software products. Understands ML Ops (deployment/scalable infrastructure)
• Has worked with data at scale and velocity
• Mentor+Coach – A player-coach who can roll up sleeves, solve problems as a team, and facilitate the team’s success
• Proven ability to attract, hire, develop, and retain exceptional talent
• A dynamic, forward-thinking leader who will bring intensity and commitment to the business. A bias toward action, experimentation, and velocity
  

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated salary range for this position is $200,000 - 300,000. Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits. 

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. 

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. 

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

At Webflow, our mission is to bring development superpowers to everyone. Webflow is a Website Experience Platform (WXP) that empowers modern marketing teams to visually build, manage, and optimize stunning websites. With AI-driven personalization baked in, Webflow enables teams to significantly boost conversion rates, translating directly into measurable business growth. From independent designers and creative agencies to Fortune 500 companies, millions worldwide use Webflow to be more nimble, creative, and collaborative.

We are looking for a Senior Software Engineer to join our Applied AI team to help us build generative  AI-powered features. The Applied AI team’s goal is to enhance the speed, creativity, and quality when building and designing websites through the power of AI, in pursuit of our mission to bring development superpowers to everyone around the world. This role will collaborate directly with product and ML engineers, product managers and designers to identify and implement AI solutions that improve the Webflow user experience, while cultivating an environment of excellence, care, and curiosity. 

About the role 

• Location: Remote-first (United States; BC & ON, Canada) 
• Full-time
• Exempt 
• The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills.
• United States  (all figures cited below in USD and pertain to workers in the United States)
• Zone A: $158,000 - $218,000
• Zone B: $149,000 - $205,000
• Zone C: $139,000 - $192,000
• Canada  (All figures cited below in CAD and pertain to workers in ON & BC, Canada)
• CAD 180,000 - CAD 248,000

Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

• Reporting to a Senior Engineering Manager

As a Senior Software Engineer, AI Products, you’ll…

• Stay up-to-date on AI/ML ecosystem advancements to assess their relevance to Webflow’s product strategy.
• Develop and integrate third-party AI APIs into the product's architecture.
• Be comfortable with making decisions with incomplete information and adjusting priorities as new insights emerge.
• Work closely with the product and design teams, owning and iterating on the solution together.
• Improve developer processes for building LLM-powered applications, helping to establish best practices in prompt engineering, experimentation, and quality assessments.
• Develop a deep understanding of our architecture and codebase while also learning about our product and the customers that use it.
• Work in an environment that fosters creativity, learning, and growth.
• Build and maintain tests and evaluation and monitoring of generative AI outputs.

About you 

You’ll thrive as a Senior Software Engineer, AI Products if you…

• Have 5+ years of experience in full-stack, product-focused software engineering, with a proven track record of shipping impactful products to market. 
• Bring 1+ years of hands-on experience building products that leverage AI/ML technologies to solve real-world problems.
• Are highly proficient in JavaScript and/or TypeScript.
• Have an intuition of AI/ML concepts and technologies, such as large language models, vector databases, Retrieval-Augmented Generation (RAG), and prompt engineering.
• Have experience measuring and improving the quality of large language model outputs through the use of techniques like prompt engineering and fine tuning.
• Have strong problem-solving skills, with the ability to debug production issues across multiple layers of the stack efficiently and effectively.
• Demonstrate exceptional organizational and communication skills, capable of breaking down complex technical ideas for both engineering and non-engineering audiences.
• Are passionate about delivering business value through fast iteration, with a bias toward shipping early and often.
• Take ownership of your work and are motivated by driving projects to impactful, measurable outcomes.
• Thrive in collaborative, cross-functional teams, and are excited to mentor and contribute to the team’s overall success.

Our Core Behaviors:

• Obsess over customer experience. We deeply understand what we’re building and who we’re building for and serving. We define the leading edge of what’s possible in our industry and deliver the future for our customers
• Move with heartfelt urgency. We have a healthy relationship with impatience, channeling it thoughtfully to show up better and faster for our customers and for each other. Time is the most limited thing we have, and we make the most of every moment
• Say the hard thing with care. Our best work often comes from intelligent debate, critique, and even difficult conversations. We speak our minds and don’t sugarcoat things — and we do so with respect, maturity, and care
• Make your mark. We seek out new and unique ways to create meaningful impact, and we champion the same from our colleagues. We work as a team to get the job done, and we go out of our way to celebrate and reward those going above and beyond for our customers and our teammates

Benefits & wellness

• Equity ownership (RSUs) in a growing, privately-owned company
• 100% employer-paid healthcare, vision, and dental insurance coverage for employees and dependents (full-time employees working 30+ hours per week), as well as Health Savings Account/Health Reimbursement Account, dependent care Flexible Spending Account (US only), dependent on insurance plan selection where applicable in the respective country of employment; Employees may also have voluntary insurance options, such as life, disability, hospital protection, accident, and critical illness where applicable in the respective country of employment
• 12 weeks of paid parental leave for both birthing and non-birthing caregivers, as well as an additional 6-8 weeks of pregnancy disability for birthing parents to be used before child bonding leave (where local requirements are more generous employees receive the greater benefit); Employees also have access to family planning care and reimbursement
• Flexible PTO with a mandatory annual minimum of 10 days paid time off for all locations (where local requirements are more generous employees receive the greater benefit), and sabbatical program
• Access to mental wellness and professional coaching, therapy, and Employee Assistance Program
• Monthly stipends to support health and wellness, smart work, and professional growth
• Professional career coaching, internal learning & development programs
• 401k plan and pension schemes (in countries where statutorily required) financial wellness benefits, like CPA or financial advisor coverage
• Discounted Pet Insurance offering (US only)
• Commuter benefits for in-office employees

Temporary employees are not eligible for paid holiday time off, accrued paid time off, paid leaves of absence, or company-sponsored perks unless otherwise required by law.

Remote, together

At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.

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Overview

Join Instacart’s mission to revolutionize the grocery industry through cutting-edge technologies. As a Machine Learning Engineer focused on search, you will help create seamless shopping experiences by leveraging advanced machine learning techniques to improve search relevance and discovery on Instacart's platform. This is an exciting opportunity to work on meaningful challenges at the intersection of AI and e-commerce, directly impacting how millions of users interact with the platform daily.

About the Role

We are seeking a highly motivated Machine Learning Engineer to join our Search ML team. In this role, you’ll work alongside world-class engineers, data scientists, and product managers to shape the future of search technology at Instacart. You will collaborate on building models that enhance search relevance, ranking, and personalization, delivering highly relevant results to users across the Instacart ecosystem. This is a role where your contributions will not only drive immediate impact but also present exciting opportunities to showcase your work through publications and conferences (recent publications 1, 2, 3).

About the Team

The Machine Learning team at Instacart is a dynamic and collaborative group dedicated to advancing the role of AI across the platform. As part of the Search ML team, you'll work on one of the most critical aspects of the business, helping customers connect with the right products. We are passionate about solving large-scale search challenges and creating innovative solutions that elevate the customer experience. Our team thrives in a fast-paced environment where we constantly experiment, iterate, and improve.

About the Job

• Develop and optimize machine learning models to enhance search relevance, ranking, and personalization for millions of users
• Collaborate with cross-functional teams, including data scientists and engineers, to build scalable and efficient search solutions
• Work on real-time search systems, improving the discoverability of products across multiple retailers
• Contribute to research and thought leadership, with opportunities to publish papers in leading AI and ML conferences
• Take ownership of your projects, from research and prototyping to production deployment, in a fast-paced environment

About You

MINIMUM QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related fields
• Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (Pytorch, Tensorflow) tools
• Strong analytical skills and problem-solving ability
• Strong communicator who can collaborate with diverse stakeholders across all levels

PREFERRED QUALIFICATIONS

• 3+ years of experience building and deploying machine learning models in production environments
• PhD in Machine Learning, Artificial Intelligence, or related fields
• Previous experience working on search or recommendation systems at scale
• Strong publication track record in top-tier AI/ML conferences
• Familiarity with A/B testing and experimentation methodologies for search relevance improvement

Grammarly offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of theFortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 14 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The Opportunity

To achieve our ambitious goals, we’re looking for a Software Engineer to join our Data Platform team and help us build a world-class data platform. Grammarly’s success depends on its ability to efficiently ingest over 60 billion daily events while using our systems to improve our product. This role is a unique opportunity to experience all aspects of building complex software systems: contributing to the strategy, defining the architecture, and building and shipping to production.

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

As a Senior DevOps Engineer on the Data Platform team, you will lead cloud infrastructure design, automation, and management, focusing on Databricks and AWS, ensuring the platform is scalable, secure, and cost-effective. You will be critical in optimizing data processing and machine learning workflows, guaranteeing high performance and uptime for critical systems. Your expertise in Databricks and AWS infrastructure and a focus on cost management will be vital to driving platform efficiency.

You will work closely with data engineers, ML teams, and infrastructure engineers to automate and optimize workflows, manage infrastructure, and ensure the platform supports real-time analytics and machine learning at scale.

• Design, implement, and manage scalable infrastructure focusing on Databricks, AWS, and Spark clusters to support data pipelines and lakes.
• Build and optimize CI/CD pipelines for deploying and managing Databricks clusters, data pipelines, and real-time data workflows.
• Use tools like Terraform, Kubernetes, and Ansible to orchestrate and automate infrastructure tasks, including provisioning, scaling, and monitoring.
• Implement and manage monitoring and logging systems to ensure data infrastructure's high availability, security, and performance, focusing on Databricks and AWS environments.
• Implement cloud security best practices, manage access control and encryption, and ensure the platform complies with data privacy regulations to ensure security and compliance.
• Collaborate with cross-functional teams to maintain cost management strategies, optimizing resource utilization across Databricks, AWS, and other data infrastructure components.

Qualifications

• Has 5+ years of experience in DevOps with expertise in managing AWS infrastructure and Databricks environments.
• Has strong experience with Spark clusters, data lakes, and managing large-scale data pipelines in a cloud environment.
• Is skilled in orchestration, monitoring, and logging, using tools like Terraform, Kubernetes, and Airflow for managing cloud resources and data workflows.
• Understands security and compliance best practices, ensuring data infrastructure is secure, compliant, and aligned with privacy regulations.
• Has experience with cost management and optimization of cloud resources, with a focus on AWS and Databricks.
• Is a problem solver who enjoys building scalable, automated solutions that improve platform reliability and efficiency.
• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.

Compensation and Benefits

Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more: 

• Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
• Disability and life insurance options
• 401(k) and RRSP matching 
• Paid parental leave
• 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
• Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
• Annual professional development budget and opportunities

Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations

Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).