Senior Product Manager, Data Analytics

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.

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.

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 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 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.

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 Databricks as a Senior Product Manager in Data Engineering!At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging problems in the world, from revolutionizing transportation to advancing medical innovations. We accomplish this by creating and operating the premier data and AI infrastructure platform, allowing our clients to leverage profound data insights to enhance their businesses.Data Engineering is a critical component of the Databricks Data Intelligence Platform, supporting some of the largest workloads. We are redefining Data Engineering with Lakeflow—a cohesive product that simplifies data ingestion, declarative data transformation, and real-time streaming capabilities. In this pivotal role, you will be responsible for leading the product management of a key Lakeflow area, taking charge of all facets of product management, including vision, strategy, roadmap, execution, and go-to-market initiatives. Additionally, you will collaborate closely with various product teams within Databricks to enhance Data Engineering across our suite of products, including data science, data warehousing, business intelligence, and machine learning offerings.Your Impact:Steer product management for one of the fastest-growing products at Databricks.Create a significant impact across the organization by enhancing Data Engineering throughout the Databricks product suite.Deepen your knowledge and expertise in Data Engineering, a foundational domain within the data and AI landscape.Define and shape the future of data processing, applications, and pipelines.Oversee the entire product development lifecycle, from ideation through to requirements gathering, development, pricing, launch, and marketing.

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.

About Juniper SquareAt Juniper Square, we are on a mission to transform private markets, making them accessible and efficient. With a focus on privately owned assets such as commercial real estate, private equity, and venture capital, we are revolutionizing the way these markets operate. Join us in our journey to enhance transparency and accessibility in one of the most vital segments of the financial ecosystem.We offer a flexible work environment, allowing our team members to choose between fully remote work or in-person collaboration at our offices in San Francisco, New York City, Mumbai, and Bangalore. Our digital-first approach facilitates effective collaboration across multiple locations, including 27 U.S. states and 2 Canadian provinces.Your RoleAs the Senior Data Product Services Manager, you will spearhead the strategic evolution of data solutions for our Fund Administration clients. This pivotal role requires a deep understanding of Fund Accounting, enabling you to convert complex financial data into actionable insights that drive business intelligence.You will work closely with both external stakeholders and our internal Fund Accounting teams to optimize data flow from systems like Investran into our Insights product. Your responsibilities will include defining requirements, developing advanced visualization layers within our business intelligence platform, and collaborating with our Analytics Engineering team to implement your visionary designs.Key ResponsibilitiesAct as the primary data consultant for Fund Administration clients, guiding them through intricate reporting needs and helping them transition from data collection to strategic insights.Develop and uphold sophisticated dashboards in our business intelligence environment, delivering actionable insights for complex fund structures.Drive transformative business value by executing a best-in-class implementation and offering tailored training to empower our clients.

Founded in 2007, Airbnb has transformed the travel experience, connecting over 5 million hosts with more than 2 billion guests worldwide. We strive to offer unique accommodations and experiences, enabling authentic connections with local communities.Join Our Community:As a leader in the travel and hospitality sector, Airbnb's mission is to foster a sense of belonging for everyone, everywhere. As we expand our offerings into new marketplaces, we're seeking innovative individuals to contribute to our growth and success.Your Impact:We are in search of a Senior Manager for Advanced Analytics to enhance our supply quality and guest engagement. Reporting directly to the Director of Advanced Analytics, you will collaborate with senior stakeholders across diverse teams to lead a forward-thinking team dedicated to providing data-driven insights and developing tools for effective marketplace management. The ideal candidate will combine business acumen with data science expertise.A Day in the Life:Lead and nurture a high-performing, geographically distributed team, promoting a culture of innovation, agility, growth, and collaboration.Drive analytical excellence through advanced data analysis, statistical modeling, experimentation, and metric frameworks.Act as a crucial analytics partner to senior stakeholders, delivering insights that inform strategic decisions while ensuring clear communication and alignment on analytics initiatives.Collaborate with teams such as Strategic Finance, Data Engineering, Data Science, and Product Marketing, as well as other cross-functional teams.Create meaningful metrics and KPIs to assess performance and drive improvements.

About ProphecyProphecy is at the forefront of developing the next generation of AI-driven Data Preparation and Analytics technology. Our innovative platform empowers business analysts and data teams to seamlessly transform raw data into trustworthy, production-ready datasets and actionable insights at an accelerated pace, utilizing cutting-edge data infrastructure and AI capabilities. We collaborate with top enterprises to streamline the processes of data preparation, analysis, and operationalization while upholding rigorous standards of governance, security, and operational oversight. Our mission is to simplify the journey from complex data to reliable insights that inform decision-making.Why This Role ExistsWe are on a quest to build an AI-native data platform that resides at the crossroads of data infrastructure, analytics, and intelligent systems.We seek a Senior Product Manager who embodies the spirit of a builder and owner, someone who goes beyond mere planning to:Visualize the entire data → insights → decisions → actions lifecycleLeverage AI tools and prototyping to test ideas before formalizationCombine profound customer insights with robust technical acumenSteer products from conception to production with a sense of ownership and urgencyIn this role, you will take full ownership of a product area and significantly influence the way analysts engage with data in contemporary enterprise environments.What You’ll DoProduct Strategy & OwnershipChampion and refine the roadmap for a product area over a 1–3 quarter timeline, balancing customer demands, technical commitments, and business objectivesConvert product vision into actionable initiatives and priorities that align with Prophecy’s overarching strategyAssess opportunities based on potential impact, required effort, and strategic alignment, making informed trade-offsLook beyond features to understand how capabilities integrate within the broader data and analytics ecosystemCustomer Insight & DiscoveryGain a deep comprehension of analyst workflows throughout the data preparation, transformation, and analysis processesConduct ongoing discovery through customer interviews, product usage analytics, and feedback from sales and support, along with win/loss evaluationsClearly articulate problems before rushing into solutionsAppreciate enterprise constraints encompassing governance, compliance, and operational complexity

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

About Extend:Extend is transforming the post-purchase landscape for retailers and customers by delivering AI-powered solutions that elevate customer satisfaction and enhance revenue growth. Our all-encompassing platform streamlines customer service, simplifies returns and exchanges, automates fulfillment processes, and offers product and shipping protection, all while ensuring top-tier fraud detection. By fusing cutting-edge technology with outstanding customer support, Extend equips businesses to foster consumer trust and loyalty, driving down costs and boosting profitability.Today, Extend collaborates with over 1,000 premier merchant partners spanning various sectors, including fashion, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports, fitness, and beyond. Supported by leading technology investors, our headquarters is situated in downtown San Francisco.About the Role:The Revenue Analytics team is dedicated to crafting strategic recommendations based on data to scale, boost, and recover revenue. We excel at integrating insights from Sales, Growth, Product, Engineering, and Risk to unearth growth and expansion opportunities that directly impact the company’s profitability. If you're passionate about distilling complexity and uncertainty into measurable outcomes, you'll flourish on our team.What You Will Be Doing:Cross-functional Leadership: Drive cross-functional teams independently through complex queries to influence and enact revenue-generating initiatives and recommendations.Revenue Enhancement: Develop and implement innovative strategies aimed at maximizing revenue and improving client acquisition across the entire revenue pipeline.Data-Driven Decision Making: Spearhead enhancements to our quantitative analysis methods (simulation models, A/B testing, causal impact analysis, etc.) to effectively guide strategic direction, with opportunities to present insights to leadership regularly.Data Infrastructure Management: Oversee, refine, and enhance existing data pipelines to leverage data analytics effectively, defining data structures, and utilizing advanced tracking methods to identify revenue opportunities.Exemplary Standards: Establish a benchmark for the team regarding analytical thinking and excellence.

Join Innovaccer Analytics as a Manager - Data Exchange and Interoperability. In this pivotal role, you will lead a talented team focused on the seamless acquisition of healthcare data from diverse provider systems and third-party platforms.Your responsibilities will include overseeing the entire lifecycle of data onboarding projects, strategic planning, and relationship management with U.S. healthcare providers and IT vendors. You will also ensure compliance and functionality through rigorous testing and validation of data connections.This position offers the flexibility of telecommuting from the U.S.

Join our dynamic Application team as a Senior Product Manager, where you will collaborate closely with leaders across engineering, marketing, sales, and customer success to create a premier analytics product. Reporting to the Head of Product, you will play a pivotal role in guiding a groundbreaking product from its early stages to successful market launch. Our mission is to revolutionize the way organizations understand and utilize people data. We are committed to our core values: (1) Excellent communication; (2) Transparency in operations; (3) Providing leverage rather than mere optimization; (4) Making a meaningful impact every day; and (5) Upholding integrity and trust in all our endeavors.

Join Chime as a Senior Manager of Marketing Analytics, where you will play a pivotal role in steering marketing strategy through data-driven insights. In this position, you will lead a team of analysts, leveraging analytics to optimize performance across various marketing channels. You will collaborate closely with cross-functional teams to drive innovation and enhance customer engagement.

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

The Internal Data team at MongoDB plays a crucial role in enhancing decision-making and application development, supporting diverse functions including Go-to-Market (GTM), Product and Technology, Finance, and HR. As we continue to scale, our commitment to becoming a truly Data-Driven Enterprise is paramount. This initiative focuses on establishing reliable, governed golden data assets, world-class self-serve capabilities, and a robust AI-ready data infrastructure.This is a unique opportunity to spearhead a high-impact, company-wide initiative that will revolutionize how MongoDB teams access, trust, and utilize data.This role offers flexibility, as it can be based in any of our major U.S. offices (New York City, Austin, Palo Alto, or San Francisco) under our hybrid work model, or remotely within the United States.As the Senior Director of Data Product Management, you will take ownership of the vision, strategy, and execution of MongoDB's internal data product portfolio, initially concentrating on Go-to-Market (GTM) functions such as Sales, Marketing, and Customer Success. You will lead and cultivate a talented team of four Product Managers, collaborating closely with Data Pipeline, Platform Engineering, Data Architecture, and Data Governance teams to deliver essential data products relied upon by MongoDB teams daily. These products encompass data pipelines, canonical datasets, dashboards, APIs, machine learning models, and self-serve frameworks that drive analytics, AI, and large-scale business decision-making.This position is perfect for an experienced data product leader who possesses both strategic insight and operational expertise — someone capable of effectively engaging with C-suite stakeholders, inspiring a high-performing team, and managing a complex, multi-workstream enterprise initiative from conception to measurable results.