Team Leader, Data Analytics - Product

JOIN ROCKET MONEY AND MAKE A DIFFERENCE IN FINANCIAL WELLNESS At Rocket Money, our goal is to significantly enhance the financial well-being of millions. We equip our members with an in-depth understanding of their finances and offer a comprehensive suite of services designed to save time and money—empowering them on their financial journeys. MEET THE DATA ANALYTICS TEAM The Data Analytics team at Rocket Money consists of dedicated analysts who are enthusiastic about leveraging data to guide business strategies and improve user experiences. Our analysts function within a semi-embedded structure, independently developing analytics tools, driving data-led strategies, and evaluating experiments across various product teams. Collaboration with the analytics engineering and data science teams is essential as we strive to meet our goals in product delivery, operations, finance, and marketing. As we expand, we seek a Data Analytics leader who is passionate about cultivating an equitable and supportive work culture, facilitating personal and professional growth, and enhancing product delivery. We are looking for someone to elevate our Data Analytics team and champion data-driven decision-making across the organization. YOUR ROLE WILL INCLUDE: Leading and managing a team of 4-6 product data analytics professionals, establishing processes for independent operation within cross-functional teams while ensuring high standards of quality and accountability and fostering individual development. Driving the technical strategy for self-service analytics, enabling your team to focus on higher-value analyses and tool development. Revamping our experimentation strategy to enhance rigor across the organization while collaborating with product and engineering teams to set standards for eventing, cohorting, and analytics. Nurturing strong relationships with other leaders in the company, advocating for your team's involvement at critical times and ensuring high-quality analytics delivery across departments. Addressing performance challenges directly and making decisions prioritizing the needs of our users, team members, and the business. Building efficient teams and processes that optimize data analytics resources. Owning ambitious yet realistic quarterly roadmaps that propel our business forward by creating tools that enable faster and more consistent outcomes and directing cross-team analytics initiatives that inform strategy. Being accountable for making, measuring, and delivering on commitments made by the team.

As a Team Leader in Analytics Engineering at truebill, you will spearhead a talented team of data engineers and analysts to drive critical insights that shape our business strategies. Your role will involve collaborating with cross-functional teams to develop innovative analytics solutions, ensuring that our data infrastructure is robust, scalable, and aligned with our organizational goals.

Join Hebbia's Innovation JourneyAt Hebbia, we are revolutionizing the financial landscape with our cutting-edge AI platform tailored for investors and bankers. Our technology not only generates alpha but also propels upside for our clients.Founded in 2020 by industry visionaries George Sivulka, with backing from notable figures like Peter Thiel and Andreessen Horowitz, Hebbia is at the forefront of driving data-driven investment decisions for renowned firms including BlackRock, KKR, and Carlyle. Our flagship product, Matrix, is trusted across the globe to manage over $30 trillion in assets, delivering unparalleled accuracy and transparency in AI-driven analysis.We empower finance professionals by uncovering insights that would otherwise remain hidden, accelerating decision-making processes with precision and speed. At Hebbia, we are not just another tool; we are the competitive advantage that enhances performance and market leadership.

Be Part of the E-Commerce Revolution with Whatnot!Whatnot stands as the largest live shopping platform in North America and Europe, where users can buy, sell, and explore the items they cherish. We are transforming the e-commerce landscape by merging community, shopping, and entertainment into a unique marketplace tailored for you. As a remote co-located team, our culture thrives on innovation, firmly grounded in our core values. With operational hubs across the US, UK, Germany, Ireland, and Poland, we are collaboratively shaping the future of online marketplaces.Whether it's fashion, beauty, electronics, or collectibles like trading cards and comic books, our live auctions cater to diverse interests.And we’re just at the beginning! As one of the fastest-growing marketplaces, we seek audacious, innovative problem solvers across all departments. Stay updated with Whatnot’s latest developments through our news and engineering blogs, and join us in empowering individuals to transform their passions into businesses and connect communities through commerce. Role OverviewAs Whatnot continues its rapid expansion, data plays a pivotal role in influencing our product strategy and enhancing the user experience for both buyers and sellers. We are in search of a Product Data Scientist who will closely collaborate with Product, Engineering, Design, and Operations teams to extract insights, spearhead experimentation, and support data-driven decision-making across the organization.In this position, you will: Generate Insights & Shape Product DirectionEstablish and take ownership of the KPIs that gauge product vitality, user engagement, and marketplace success.Examine user behavior, product usage trends, and marketplace dynamics to pinpoint opportunities and guide product priorities.Convert intricate data into actionable insights for product and leadership teams. Drive Experimentation & MeasurementCollaborate with product managers and engineers to design, execute, and assess A/B tests and feature launches.Create frameworks for causal inference, impact evaluation, and long-term product assessment.Develop scalable methodologies for performance tracking and reporting.

Join Ironclad, a pioneering company at the forefront of digital contracting, as a Staff Data Scientist specializing in Product Analytics. In this role, you will leverage data to inform product decisions, enhance user experience, and drive strategic initiatives.You will collaborate with cross-functional teams to develop data-driven insights and recommendations that will shape the future of our product offerings. Your analytical skills will be crucial in interpreting complex data sets, identifying trends, and uncovering opportunities for innovation.

Be Part of the E-Commerce Revolution with Whatnot!Whatnot stands as the largest live shopping platform across North America and Europe, where you can buy, sell, and explore the products you love. We're transforming the e-commerce landscape by integrating community, shopping, and entertainment into a unique experience tailored just for you. As a part of our remote co-located team, we thrive on innovation while being grounded in our core values. With offices in the US, UK, Germany, Ireland, and Poland, we are collaboratively crafting the future of online marketplaces.From fashion and beauty to electronics and collectibles such as trading cards, comic books, and even live plants, our live auctions cater to diverse interests.And this is just the beginning! As one of the fastest-growing marketplaces, we seek adventurous, innovative problem solvers across all sectors. Stay updated with Whatnot through our news and engineering blogs, and join us in empowering individuals to transform their passions into thriving businesses while fostering connections through commerce. Your RoleAs Whatnot continues to expand rapidly, data plays a crucial role in shaping our product strategy and crafting exceptional, high-performance experiences for both buyers and sellers. We are in search of a Product Data Scientist who will collaborate closely with Product, Engineering, Design, and Operations teams to generate insights, drive experimentation, and influence decision-making throughout the organization.In this pivotal role, you will: Discover Insights & Influence Product StrategyDefine and manage the KPIs that gauge product health, user engagement, and marketplace performance.Examine user behavior, product usage patterns, and marketplace trends to pinpoint opportunities and guide product priorities.Convert complex data into practical recommendations for product and leadership teams. Foster Experimentation & EvaluationCollaborate with product managers and engineers to design, execute, and assess A/B tests and feature launches.Create frameworks for causal inference, impact assessment, and long-term product evaluation.Develop scalable methodologies for data analysis and reporting.

Join our dynamic team at Laurel as a Senior Data Scientist specializing in Product Analytics. In this pivotal role, you will leverage your analytical expertise to drive data-informed decisions that enhance our product offerings. You will collaborate closely with cross-functional teams, utilizing advanced statistical methods and predictive modeling techniques to derive actionable insights from complex data sets.Key responsibilities include conducting thorough analyses, developing predictive models, and translating data findings into strategic recommendations. You will have the opportunity to impact product development directly while working in a fast-paced and innovative environment.

Join Grow Therapy as a Data Analyst II and contribute to our mission to enhance mental healthcare accessibility. In this pivotal role, you'll leverage data-driven insights to inform product strategies, support robust reporting, and drive impactful analyses. Collaborate with cross-functional teams to create dynamic dashboards, execute A/B testing, and present actionable insights in engaging formats. This role not only supports our Lives Covered product group but also offers an opportunity to work alongside a talented team of analysts, data scientists, and engineers in a vibrant San Francisco setting.

Varo is revolutionizing banking with an all-digital, mission-driven approach. As an FDIC-insured institution, we are dedicated to serving our customers' modern financial needs.ABOUT OUR PRODUCT TEAMOur product team is the heart of Varo, shaping the app experiences that our customers rely on every day. We are committed to delivering innovative solutions that address real-life challenges.We value understanding our customers' perspectives and stepping outside our office walls. We embody the “glue” metaphor in product management, fostering collaboration across teams to leverage both qualitative and quantitative data. We actively seek feedback and strive for continuous improvement, maintaining a light-hearted atmosphere.ABOUT THE SENIOR PRODUCT MANAGER, DATA ROLEWe are on the lookout for a Senior Product Manager to spearhead our data analytics platform and reporting functionalities. In this role, you will drive strategic initiatives and enhancements to ensure that both technical and non-technical stakeholders are well-informed about the performance of our products, systems, and business operations. You will work collaboratively across various teams and oversee the complete development lifecycle from prioritization and discovery to launch and post-launch support.

Role overview Chime is seeking a Director of Product Analytics in San Francisco, CA. This leader will oversee a team of analysts and data scientists, shaping how data guides product decisions and strategy. The position focuses on understanding user behavior, improving product features, and supporting Chime’s goal to increase customer satisfaction. What you will do Lead, mentor, and develop a team of analysts and data scientists specializing in product analytics Promote data-informed decision making across the company Collaborate with cross-functional partners to use data insights for product strategy and execution Analyze user behaviors to uncover opportunities for product improvements Provide analytics that support efforts to enhance customer satisfaction Requirements Proven experience in analytics and product development Track record of leading teams in data-driven settings Strong ability to work with cross-functional groups Motivated to use data to shape product direction

Role overview Chime is hiring a Director of Product Analytics in San Francisco, CA. This position leads a team dedicated to analyzing complex data and turning findings into guidance for product direction. The team’s insights help drive innovation and shape a better experience for Chime’s users. What you will do Guide and develop a team of product analysts Turn large, detailed datasets into clear recommendations that inform product decisions Work closely with product teams to set priorities and refine strategy using data Use analysis to support decisions and keep products focused on what customers need

Front is looking for a Product Analytics Lead based in San Francisco, CA. This role focuses on driving strategic analysis to support informed, data-driven decisions about Front’s product direction. Working closely with product and business teams, the Product Analytics Lead will use data to shape decisions around feature adoption and workflow improvements. Role overview This position sits at the intersection of analytics and product strategy. The Product Analytics Lead will analyze how customers use Front’s core features, identify trends, and provide actionable insights to guide both product development and business outcomes. The work will span the entire product lifecycle, from early exploration to post-launch measurement, always with an eye on aligning analytics with company goals. What you will do Lead strategic analyses that inform product and business decisions Focus on adoption and usage of key Front features and workflows Partner with teams to ensure data insights translate into impactful actions Support product development with analytics at every stage What we’re looking for Experience in product analytics, especially within SaaS or B2B environments Ability to connect data insights to strategic decisions Strong communication skills and a collaborative approach Proactive mindset and comfort working with cross-functional teams

About FaireFaire is a revolutionary online wholesale marketplace that champions local commerce, believing in the strength of independent retailers. These retailers are generating more revenue globally than giants like Walmart and Amazon, yet they remain small compared to these corporate titans. At Faire, we harness technology, data, and machine learning to bridge the gap between these vibrant entrepreneurs and the best products from around the world. Our mission is to empower local businesses with the right tools and insights, leveling the playing field against big box and e-commerce competitors.By nurturing the growth of independent businesses, Faire is creating a positive economic impact in communities worldwide. We are on the lookout for innovative, resourceful, and passionate individuals to join us in our quest to revolutionize local shopping. If you share our belief in the power of community, we invite you to be a part of ours.About the RoleAre you enthusiastic about leveraging data and AI to redefine product features for small and medium businesses (SMBs)? If this resonates with you, we want to connect! We are seeking a technical leader to collaborate with Data Scientists, Product Analysts, and Software Engineers to enhance product launches and roadmaps. You will be instrumental in designing and developing data capabilities that drive insights and inform decision-making. This role will put you at the forefront of utilizing AI to enhance productivity and transform analytical engineering processes—streamlining data pipeline development, optimizing data consumption workflows, and automating routine analytical tasks. Your contributions will have a direct impact on company growth and user satisfaction. Join our team of top-tier professionals, work with one of the richest datasets available, and see your efforts translate into real-world applications for SMBs.Join us and contribute to a culture that values data-driven innovation and excellence.

About Quizlet:Quizlet is dedicated to transforming the learning experience for students around the globe. With a valuation exceeding $1 billion, our innovative learning platform engages millions of learners each month, including a significant portion of U.S. high school and college students, facilitating over 2 billion learning interactions every month.By integrating cognitive science with advanced machine learning techniques, we aim to personalize education and enhance the learning journey for students, professionals, and lifelong learners alike. We are passionate about empowering learners through diverse methodologies and innovative tools.Let’s Build the Future of LearningJoin us in creating AI-driven learning tools that have a global impact and unlock the potential of individuals everywhere.About the Team:The Data Science and Analytics team at Quizlet is pivotal in product research. We utilize our extensive data sets to amplify the voices of students and educators. Our focus is on delivering insights that guide product strategy through the application of the data science toolkit, playing a critical role in shaping company leadership decisions. Our team collaborates closely with Machine Learning and Data Engineering experts to foster a data-driven culture across the organization.About the Role:As a Staff Data Scientist on the Core Product Analytics team, you will work hand-in-hand with Product, Engineering, and Design teams to extract insights that influence Quizlet’s product strategy. Your responsibilities will include designing experiments, developing analytical frameworks, and defining key performance metrics that evaluate success and drive product advancement.This position is tailored for a data scientist who excels at converting complex data into straightforward, actionable insights. You will manage comprehensive analytics for core product domains—guiding roadmaps, executing A/B tests, and ensuring that all major product decisions are supported by robust evidence.We are pleased to offer this onsite position in our San Francisco office. To promote team collaboration, employees are expected to be in the office at least three days a week: Monday, Wednesday, and Thursday, or as directed by your manager. We believe that this arrangement enhances work efficiency, fosters teamwork, and supports professional growth within the organization.

About DecagonDecagon stands as a pioneer in the conversational AI landscape, empowering brands to craft exceptional concierge customer experiences.Our innovative technology enables leading enterprises, including Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas, to implement AI agents that facilitate personalized and enriching interactions across diverse channels such as voice, chat, email, SMS, and more.We envision a future where customer experiences are transformed from mundane support interactions to swift resolutions, engaging conversations, and meaningful relationships. Proudly backed by a consortium of world-class investors, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, we share a unified vision for innovation.As an in-office organization, we are united by a commitment to excellence and speed. Our core values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — guide our teamwork and growth.About the Role:In the role of Director of Data & Analytics, you will spearhead the establishment of a top-tier data team that drives strategic decision-making through insightful analytics. Your contributions will significantly shape how data is collected, structured, and utilized across the organization. Collaborating closely with executives, Product, Engineering, GTM, and G&A teams, you will uncover significant trends related to strategic initiatives, product analytics, and overall business performance. This unique opportunity allows you to create modern, scalable analytics systems and develop impactful data insights for a rapidly evolving team.Your Responsibilities Include:Overseeing business intelligence reporting across the organization, including the development of dashboards to monitor ongoing KPIs and performing ad-hoc analyses to explore critical questions.Collaborating with cross-functional teams to grasp business priorities and orchestrate the data pipeline necessary for delivering essential data-driven insights.Assisting in the design and tracking of OKRs, visualizing data, and analyzing performance to ultimately influence strategy and roadmaps.

Join Front, the cutting-edge AI-driven customer service platform designed for seamless collaboration. Our innovative workspace integrates essential support channels, enabling teams to work together on requests, automate tedious tasks, and provide exceptional customer experiences throughout their journey. With our adaptable workflows, AI capabilities, and customer insights, we empower organizations to prioritize their customers every single day. Trusted by over 9,000 leading companies globally, including CultureAmp, HootSuite, and Y Combinator, Front is at the forefront of delivering outstanding service at scale.Supported by Sequoia Capital and Salesforce Ventures, we have successfully raised $204M from top-tier venture capital firms and influential investors, including executives from Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has been recognized as a premier workplace, earning accolades such as Built In's 100 Best Midsize Places to Work in SF 2025, Top Places to Work by USA Today 2025, Y Combinator's Top Companies in 2023, #4 on Fortune’s Best Workplaces in the Bay Area™, Inc. Magazine's 2022 Best Workplaces list, and Forbes Best Startup Employers 2022 List.We are seeking a strategic and analytical leader to fill the role of Head of Product Analytics. In this pivotal position, you will shape our product analytics strategy and enhance data-driven decision-making across the organization. Collaborating closely with leaders in Product, Design, and Engineering, you will take ownership of the analytics roadmap, expand our team and operational framework in both San Francisco and Paris, and develop systems that enable Front to deliver high-quality product innovations swiftly and effectively.Your Responsibilities:Provide strategic insights that inform Front's product strategy by synthesizing product usage data, experimentation results, and market trends into actionable recommendations.Lead the development of comprehensive analytics frameworks that support product decision-making and drive continuous improvement.Collaborate with cross-functional teams to define key performance indicators and ensure alignment with business objectives.Mentor and develop the analytics team, fostering a culture of innovation and excellence.

About UsAt Speak, we are on a mission to revolutionize language learning.Learning a new language can transform lives, unlocking opportunities in diverse cultures and careers. With two billion individuals striving to master a language, traditional one-on-one tutoring remains out of reach for many and hasn’t evolved significantly in decades. At Speak, we are developing an AI-powered, human-like tutor that fits in your pocket, providing a conversation-first experience that encourages learners to speak, receive immediate feedback, and progress through meticulously crafted lessons. The outcome is a comprehensive journey from novice to fluent speaker across numerous languages.Since our inception in South Korea in 2019, Speak has ascended to become the leading language learning app, now catering to learners across multiple markets in over 15 languages. As one of the world’s foremost AI companies, we have secured over $150 million in venture funding from partners such as OpenAI, Accel, Founders Fund, and Khosla Ventures, with a globally distributed workforce spanning San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.In the role of Head of Data & Analytics, you will architect and lead a premier data organization that fuels product innovation, growth strategies, and data engineering initiatives at Speak. You will craft and implement a comprehensive strategy that ensures data-driven decision-making across the organization, enhancing our infrastructure, improving data accessibility, and driving tangible business results for millions of learners worldwide.

Role overview Bosch Group is hiring a Payroll Rewarding Team Leader in San Francisco. This position manages the payroll team, ensuring payroll runs accurately and on time. The team leader also plays a key part in supporting employee satisfaction and making sure all payroll activities follow current regulations. What you will do Guide and support the payroll team to process payroll precisely and meet all deadlines Encourage a collaborative and high-performing work environment Partner with other departments to enhance payroll systems and processes Monitor payroll operations for compliance with legal and company requirements Help deliver a smooth payroll experience for employees Location This position is based in San Francisco.

About Our TeamThe Applied team at OpenAI is dedicated to collaborating across research, engineering, product, and design disciplines to effectively deliver cutting-edge AI technology to both consumers and businesses. Our mission is to learn from real-world deployments, ensuring that the benefits of AI are distributed equitably while prioritizing responsible and safe use of this powerful technology. Here, safety takes precedence over unchecked growth.About the Role:We are on the lookout for a Senior Data Engineer to spearhead the development of our data pipelines and foundational data tables at OpenAI. These pipelines are essential for driving analyses, enhancing safety systems that inform business decisions, fostering product growth, and mitigating risks from malicious actors. If you have a passion for data and a desire to create impactful solutions, we want to hear from you! This role also offers the chance to work closely with the innovative researchers behind ChatGPT, assisting them in training new models for user delivery. As we continue to expand rapidly, we place immense value on data-driven insights, and your contributions will be crucial to our ongoing success. Join us in shaping the future of AI!Your Responsibilities Will Include:Designing, building, and maintaining our data pipelines, ensuring seamless integration of user event data into our data warehouse.Creating canonical datasets that track vital product metrics such as user growth, engagement, and revenue.Collaborating with diverse teams, including Infrastructure, Data Science, Product, Marketing, Finance, and Research, to understand their data needs and deliver effective solutions.Implementing robust, fault-tolerant systems for data ingestion and processing.Participating in architectural and engineering decisions related to data management, leveraging your extensive experience.Ensuring data security, integrity, and compliance with industry standards and company policies.You Will Excel in This Role If You:Possess 3+ years of experience as a data engineer and at least 8 years in software engineering (including data engineering).Have proficiency in at least one programming language relevant to Data Engineering, such as Python, Scala, or Java.Bring experience with distributed processing technologies and frameworks like Hadoop, Flink, and distributed storage systems (e.g., HDFS, S3).Are well-versed in ETL schedulers such as Airflow, Dagster, Prefect, or similar tools.

Join Oura as the Director of Data Analytics, where you will lead a dynamic team in leveraging data to drive strategic decision-making and enhance user experiences. Your expertise will be pivotal in analyzing complex datasets to extract meaningful insights that propel our innovative health and wellness solutions.In this role, you will collaborate closely with cross-functional teams, including product development and marketing, to ensure data-driven strategies align with company goals. You will also spearhead the development of best practices in data analytics, fostering a culture of data literacy across the organization.