Who you'll be joining: 

We’re looking for a Staff Product Manager to join our Home Monitoring team to drive the next stage of growth for our subscription service. You will work collaboratively with developers, Software PMs, UX, User Researchers, Marketing, and Sales to rapidly test and iterate on new features that increase service adoption, engagement & value.

This is a unique opportunity for someone who thrives at the intersection of product management and marketing, and loves using data. Someone who is not afraid to present new ideas, drive metrics, and go after bold experiments.

How you’ll make an impact:  

• As a Staff Product Manager for Smart Security, you will build & own the roadmap for growth initiatives to increase adoption, engagement and paid conversion of the Smart Security subscription service 
• Deeply understand our customers, reviewing customer feedback on a day-to-day basis and prioritizing the highest impact changes 
• Be accountable for and drive growth KPIs - conversion, retention, and reactivation 
• Build and maintain a backlog of experiments that improve business outcomes and delight our customers across mobile, web, backend server and embedded software 
• Document and share learnings with leadership to influence decisions, refine experiments through iteration, and scale them up when it makes sense
• Draw on your entrepreneurial spirit and business acumen to continuously innovate, get stakeholder alignment and drive subscriber growth 

What you’ll  bring to the table:    

• You have previous experience in building, launching & driving successful and revenue-generating SaaS subscription products or services, preferably in the B2C space 
• You are creative and enjoy thinking outside of the box to generate big ideas that can have significant impact on how new users discover, activate, and engage with our services 
• You have an experimentation mindset and strong business acumen. You enjoy designing growth experiments, testing them, learning, and refining your hypotheses. 
• You have exceptional ability to grasp, analyze and articulate complex metrics, and use data for decision making and driving actions to achieve success 
• Your communication skills are top-notch, and you work effectively with other PMs, business leads, and cross-functional teams to align on test schedules, resourcing, and success metrics. 
• You always start with the customer problem and understand better than anyone else how users use your service or product. 
• You are a smart, curious, and analytical person with a bias for action. 
• You thrive in a fast-paced, ambiguous, and high-stakes environment. 
• The candidate will work with teams across multiple time zones 

Just so you know: The hired candidate will be required to complete a background check.

Like what you see? Apply soon! We plan to accept applications for this role until September 30th but may close earlier depending on the volume of applications we receive.

What happens after you apply:   

Application review.It will happen. By an actual person in Talent Acquisition. We get upwards of 100+ applications for some roles, it can take a few days, but every applicant can expect a note regarding their application status.

Interview Process:    

• Round 1: A 45-minute phone call with a member of Talent Acquisition
• Round 2: A 30-minute virtual interview with a Group Product Manager and your future lead
• Round 3: A 45-minute virtual interview with an interview panel consisting of fellow Product Managers, and cross-functional peers from UX and Engineering Management
• Round 4: A final round of 2 back-to-back interviews including;
  
  • A 60-minute presentation and follow-up Q&A on a case study we'll provide 1-week in advance of your interview
  • A 30-minute virtual interview with ecobee's Senior Director of Product Management

ABOUT ROCKET MONEY ????

Rocket Money’s mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM ????

Team Insight's mission is to support the personal finance features that make Rocket Money an integral part of our members’ everyday financial journey. Whether it’s tracking their spending, analyzing their recurring bills and subscriptions, or managing their transactions, Team Insight’s goal is to build incredible interfaces (and the backend services that power them) that make it easy for our members to understand their financial habits.

Team Insight owns the core personal finance features that all of our members use. If you’re excited about building highly scalable features that work on the scale of millions of monthly active users, this is the team for you.

IN THIS ROLE, YOU'LL:

• Work alongside a team to implement, iterate, and debug product features that drive forward both the company and the user.
• Own projects from end to end, making key decisions in the implementation of new features that balance technical concerns with business concerns.
• Develop with TypeScript across the stack, building user interfaces using React Native and the backend support required to power them with Node & GraphQL.
• Be a steward of good user experience, ensuring that the interfaces we present our users are performant, understandable, and delightful.
• Help to maintain our high technical bar, participating in code reviews and design discussions to ensure that we're applying appropriate rigor to our software development process.
• Develop an understanding of our users to build and measure features which help them better understand and improve their finances.

ABOUT YOU ????

• You have 5+ years of professional experience working with some combination of Node/TypeScript, React, GraphQL, and Postgres (or similar relational database).
• You're both a student and a teacher, continually seeking to grow as an engineer and help those around you grow as well.
• You're not just interested in what you're building, but also why you're building it. You want to see the bigger picture of how the software you're building is benefitting our users.
• Experience with our stack (TypeScript, React Native, PostgreSQL) is a plus.
• You understand observability and enjoy digging into the details to solve performance and user experience issues.
• You thrive in a growing organization, and are not afraid of a challenging problem. In fact, you confront problems head on and take the lead on the solution.

WE OFFER ????

• Health, Dental & Vision Plans
• Competitive Pay
• 401k Matching
• Unlimited PTO
• Lunch daily (in-office only)
• Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional Information: Salary range of $150,000 - $185,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Overview

About the Role

Our backend systems power the frontend clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.

As a Senior Software Engineer in our Privacy Engineering team, you will be responsible for building the core privacy components that product teams across Instacart use to ensure our Customers can be in control of their data. In this role you will help connect our Customers to cutting edge privacy systems we have developed and deployed internally.

About the Team

The Privacy team is a platform team in the Security Engineering organization that believes it should be easy to build products that respect our user’s privacy. To do this, we manage our internal data privacy architecture that includes systems to annotate, find, and delete data across production and offline data storage systems. Additionally, we build the front end components that product teams across Instacart use to give our users direct access to these internal systems.

The Privacy team is a member of our core Privacy working group, that includes our Legal team, Compliance team, Operations team, and privacy partners for each of our main product pillars. Additionally we work closely with our Infrastructure, Data Platform, and Security engineering teams to ensure privacy controls are in place effectively across all levels of our stack. 

About the Job

Your responsibilities will include:

• Designing, developing, and sustaining the comprehensive access controls and governance systems that improve the integrity and privacy of our data.
• Ensuring the reliability, scalability, and security of the data platform.
• Collaborating with various stakeholders and actively involving data infrastructure.

About you

MinimumQualifications

We are looking for someone who:

• Has 5+ years of experience in software engineering.
• Builds and collaborates with our backend privacy engineers on the internal systems that enable privacy by design, touching all aspects of our full tech stack to turn privacy controls into reusable components..
• Develops scalable and pragmatic controls related to data collection, classification, storage, access, usage, and deletion in data warehouse environments and/or operational data systems.
• Communicates capably and is comfortable seeking and receiving feedback.
• Possesses strong analytical and debugging skills.
• Takes a strong sense of ownership while working with large codebases and diverse suite of products.
• Embraces a collaborative mindset to partner with engineers, designers, and PMs from multiple teams to co-create impactful solutions while supporting system contributions.
• Communicates clearly, presents ideas well, and can influence key stakeholders at manager, director, and VP levels.

Preferred Qualifications

We would love it if you:

• Hold a Bachelor’s degree in Computer Science, Software Engineering, or a related field, or can demonstrate equivalent industry experience (4+ years).
• Have prior work experience in Software, Security or Privacy Engineering.
• Experience working with cloud-based data platforms such as Snowflake or Databricks.
• Strong knowledge of common back-end web technologies (such as Ruby on Rails, Python, Golang, SQL, etc.) and big data technologies (such as Spark, Kafka, Hadoop, Flink) in a large scale distributed system environment
• Have proven experience with distributed system designs.
• Possess strong general programming and algorithm skills.
• Show strong attention to detail and accuracy in your implementation.
• Appreciate a data-driven mindset.
• An ability to work effectively with cross-functional teams
• Excellent communication skills, including written, to serve as an advocate & evangelist for the Privacy team

#LI-Remote

Your impact

Handshake is hiring a Staff Software Engineer role on the Employer Product Team. In this role, you will contribute to the team’s mission of driving SMB Employer growth through product innovation; acquisition, and revenue generation. You will have the opportunities to lead large projects through all developmental stages-- from early brainstorming and requirements refining, visual design, architectural design, experimental design, scoping, execution, and finally release.

Your role

• Your day-to-day work will feature regular collaboration on a cross-functional team with a designer, product manager and other engineers. You will also engage frequently with engineers, support, marketing and data analysts across the organization.
• You will architect and build features that our SMB employers will use daily.
• You will lead by example in maintaining a high standard of quality in your own work and in the feedback provided to peers in code review and architecture discussions.
• You will lend your technical knowledge and experience to influence the team’s roadmap and prioritization of innovation and operational health initiatives such as quality control and on-call.
• You will provide mentorship to engineers and unblock and support your team to meet deliverables.
• You will lead sizable individual projects and projects that require multiple engineers.

Your experience

• You have at least 7+ years of experience as a full stack engineer, and are confident driving architectural decisions on both frontend and backend while being proficient in SQL for query and data analysis.
• You have demonstrated success collaborating with partners in product, design and analytics to define, build, and ship great products and experiences.
• You have experience leading large projects from idea to high quality delivery.
• You act with empathy when working with fellow engineers and coworkers, and enjoy providing mentorship and guidance to enable and support your team.
• You strive for individual and team growth, proactively seeking feedback and identifying areas of the code, processes or procedures that need improvement.
• You are a strong communicator and can articulate technical concepts and rationale to audiences of varying technical knowledge levels.

Bonus areas of expertise

• You have worked with ReactJS, Ruby, Ruby on Rails and PostgreSQL.
• You have worked on SMB SAAS products at scale.
• You demonstrate ownership-mentality and maintain a high degree of accountability for your work.

Compensation range

$180,000 - $260,000

ABOUT ROCKET MONEY ????

Rocket Money’s mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM ????

Machine Learning Engineers on the Data team at Rocket Money further our mission by building data products that deepen customer relationships with our many financial products. Our team of data scientists and machine learning engineers builds machine learning driven product experiences that identify and engage customers who would benefit from mortgage and personal loan products. We integrate with product and engineering teams to understand, explain, predict, and intervene to improve product retention. Machine learning engineers also support growth operations by designing ML driven personalization experiences in onboarding. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML powered user experiences, and can deliver solutions within engineering teams.

ABOUT THE ROLE ????‍♀️

In this role, you will focus on the following types of problems:

• Build new, machine learning powered user-facing features and experiences in deep collaboration with engineering, product, and design teams. Use your expertise in ML system and model design to delight our customers with new user experiences. Work with engineering teams to build software to deliver new experiences to Rocket Money’s customers.
• Optimize to continuous product feedback loops - you understand that machine learning is the practice of a continuous lifecycle of measurement, analysis, modeling, and hypothesis testing. You understand how to build, test, and deliver user-facing machine learning products in an incremental way.
• Help develop the next version of Autopilot and Budgets. Ensure members have money in the right place at the right time for their near and long term goals. Warn them when they do not.
• Uncover and exploit relationships between customers’ subscriptions, purchase, and transaction data as you build personalized product experiences and power ever more accurate customer segmentation, propensity, and affiliate targeting models.
• Design and conduct experiments to estimate the impact of new ml driven products, customer messaging, and marketing. You know how to use experimentation to build the strategic case for more tailored ML product experiences.
• Build anomaly detection systems, ensuring that our transaction categorization systems produce accurate data for our users and tracking when they don’t.

Regardless of the challenges you dive into, you will:

• Work within cross-functional teams to build new products and services, especially with engineering.
• Become a subject matter expert in your area of specialty - making key decisions on both implementation and scope while balancing technical and business goals.
• Become an expert on our members. Understand their needs and financial goals. Work with product to define strategy and engineering teams to create software and build features that help our members build better financial lives.
• Design ML system and model architecture to aid product delivery, both internal and external.
• Be a steward of good instrumentation and experimental design - designing systems to measure the impact of ML powered products in a way that is measurable, testable, repeatable, and robust.
• Extend internal tooling that improves the data science and ML product implementation - help accelerate the work of others on engineering and data teams.
• Participate in code reviews, contribute to product and technical design, and maintain a high degree of quality in our production data.

ABOUT YOU ????

• You are a team player - collaboration and communication are a first instinct and key tool for getting stuff done. You continually seek feedback on your work and err on the side of over communicating.
• You care about products, not publications. Solving user problems is of key importance for you, not necessarily finding esoteric problems. We love recovering academics that aren’t looking in the rearview.
• You can collaborate with stakeholders to define tasks, defining cross-functional work independently to achieve strategic goals
• You know how to deliver products incrementally - doing the simple thing first, finding and measuring signal, and iterating to build better user experiences.
• Excellent writing, presentation, and communication skills. Documenting, soliciting feedback, and securing alignment among collaborators is second nature.
• You have strong software engineering skills. You can contribute up and down the application stack to deliver data products to users. Evidenced experience working with engineering teams to build software is an absolute must.
• You have a lot of tools in your methodological tool belt and are prolific in testing multiple approaches.
• You have 3+ years of professional experience working in a data science or machine learning engineering capacity. You know your way around databases, data warehouses, models, and how to engineer backend machine learning and data science systems. Bonus points if you have experience integrating data products into application front ends. You are equally adept at hacking together proof of concepts and working within engineering teams to build scalable, durable systems.
• You care just as much about why you're solving a problem as the solution. You always want a deep understanding of context and business impact. You are an ML engineer first but an expert data scientist and analyst when necessary.
• You want to continue to grow and learn. You are excited by hard problems and big challenges.
• Experience in fintech, banking, or finance is a plus.

WE OFFER ????

• Health, Dental & Vision Plans
• Competitive Pay
• 401k Matching
• Unlimited PTO
• Lunch daily (in-office only)
• Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $180,000 - $220,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

As Associate Data Engineer, you’ll support business analytics projects by providing data-driven insights to HQ. The purpose is to analyze data gathered and to make informed decisions, improve operations, and strategize for future initiatives. The successful candidate will be responsible for advising the Enterprise Team and its stakeholders and developing strategies that drive operational improvements and support future business endeavors.

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessedwithour people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do:

• Designing, developing, and maintaining scalable data pipelines and building out new API integrations to support increasing data volume and complexity. 
• Collaborating with analytics and business teams to improve data models that feed business intelligence tools, enhancing data accessibility and fostering data-driven decision-making across the organization. 
• Implementing processes and systems to monitor data quality, ensuring production data is accurate and available for key stakeholders and business processes. 
• Performing data analysis to troubleshoot and resolve data-related issues. 
• Collaborate closely with a team of frontend and backend engineers, product managers, data analysts and business analysts. 
• Defining company data assets (data models), and create Spark (Using PySpark) and SQL jobs to populate data models. 
• Writing unit/integration tests, contributing to the engineering wiki, and documenting work. 

What you’ll need to succeed:

• Willing and able to be onsite in Reston, VA at least 3 days/week
• Bachelor’s degree 
• Ability to obtain and maintain a Secret security clearance
• 0-2 years of relevant experience; 4-6 years of additional experience in lieu of degree 
• Proficiency in Data Warehousing, ETL (Extract, Transform, Load) Processes, SQL and NoSQL Databases, Data Modeling, Data Integration, and Data Quality Assurance. 
• Proficiency in programming languages including Python and C# is required. Strong problem-solving, communication, and collaboration skills are also necessary. 
• Experience with Microsoft Azure Cloud Platform such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks (using PySpark) and Azure SQL Database. 
• Strong problem-solving, communication, and collaboration skills. 

Like we said, we arebig fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.

Don’t meet every single requirement? 

Studies have shown that women, people of color and the LGBTQ+ community are less likely to apply to jobs unless they meet every single qualification.  At MetroStar we are dedicated to building a diverse, inclusive, and authentic culture, so, if you’re excited about this role, but your previous experience doesn’t align perfectly with every qualification in the job description, we encourage you to go ahead and apply.  We pride ourselves on making great matches, and you may be the perfect match for this role or another one we have. Best of luck! – The MetroStar People & Culture Team

What we want you to know:

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

MetroStar Systems is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of MetroStar Systems.

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