Director of Product Analytics

We are seeking a visionary Director of Financial Data & Analytics to lead our data-driven initiatives at Spoton. In this role, you will be responsible for harnessing data insights to inform strategic decisions, drive operational efficiencies, and support our financial growth.Your expertise will guide the development of robust analytical frameworks and models that enhance our financial forecasting and reporting processes.

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.

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.

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.

Role Overview The Director of Omnichannel Analytics at BridgeBio Pharma leads efforts to shape data-driven strategies for the organization. This role is based in San Francisco at 1800 Owens. The director manages a team focused on analyzing and interpreting omnichannel marketing data to strengthen connections with both patients and healthcare professionals. What You Will Do Lead a team responsible for analyzing omnichannel marketing data Develop advanced analytics capabilities to support business goals Apply insights from data to inform business decisions Collaborate with cross-functional teams to improve marketing performance Who We’re Looking For BridgeBio seeks a leader with a strong background in data analytics and a commitment to its impact in healthcare. Experience guiding teams and collaborating across departments is important. A passion for using analytics to support innovative therapies and patient outcomes aligns well with this mission-driven team.

Flex is a FinTech company based in New York City, focused on transforming the rent payment experience. Flex enables renters to pay rent on a schedule that fits their financial needs, aiming to give users more control over their largest recurring expense. After emerging from a successful stealth phase, Flex is expanding its team with the support of strong investors and an engaged user base. Role Overview The Director of Analytics Engineering leads a team at the intersection of Data, Product, Engineering, and business strategy. This role shapes the analytics platform that supports data-driven decisions across Flex. The director manages and mentors analytics engineers and remains hands-on with data modeling and solution development. Collaboration with analysts, engineers, product managers, and other stakeholders is central to defining requirements and delivering data products that meet business needs. What You Will Do Develop and drive the strategic roadmap for Flex’s data modeling platform and team. Lead, mentor, and grow a team of analytics engineers. Partner with product and engineering leaders to define data requirements and guide architecture and schema design. Oversee the creation of data models that transform and present data for stakeholders. Gather business requirements, define analytics success criteria, and design data solutions. Set company-wide standards for data structure, quality, and expectations. Promote a strong data culture by shaping scalable processes, systems, and tools that support better decision-making. What You Bring At least 8 years of experience as an analytics engineer or in a similar data-focused role, with a history of delivering products at scale. Expertise in SQL and data warehouses (Snowflake preferred), with skill in writing efficient SQL queries. Experience with leading business intelligence tools such as Sigma Computing, Tableau, or Mode. Locations This position is based in New York, NY; Salt Lake City, UT; or San Francisco, CA.

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

About UsAt Passage, we are dedicated to developing innovative technology that bridges the gap between talent and opportunity, utilizing cutting-edge advancements in AI complemented by human insight.We believe that access to opportunities should not be dictated by factors such as geography, gender, or financial status. Through our subsidiary, Passage Funding, we assist international students by offering financial support to ensure education is accessible and affordable.Our mission is clear and ambitious: by 2030, we strive to eliminate barriers that hinder exceptional individuals from obtaining the opportunities they rightfully deserve.The RoleWe are on the hunt for a Director of Data to architect and nurture the data infrastructure at Passage. This pivotal position involves crafting systems that transform our operational data into a dependable framework that the entire organization can rely on.You will wear two hats: that of a technical architect and a strategic planner. You thrive on designing data systems from scratch, taking chaotic operational data and converting it into structured platforms that facilitate improved decision-making across the organization.From your first day, you will collaborate closely with leaders from various departments including engineering, growth, credit, finance, product, and operations. You will be responsible for designing the company's data architecture, constructing pipelines and analytical models, and establishing the metrics that will steer Passage’s operations.We pride ourselves on being a lean team that values ownership and agility. There is no rigid hierarchy, and growth potential is limitless. We seek someone who is eager to develop the data brain of the company, implement best practices, and eventually assist in expanding the data team as Passage continues to scale.Key ResponsibilitiesEstablish the Data FoundationDesign and maintain the analytics layer of Passage's data platform.Construct scalable data models and transformation layers to empower analytics across the business.Define canonical metrics for the company and ensure alignment across teams.Create dashboards and analytical frameworks for leadership to assess performance and inform business decisions.Collaborate with data engineering to enhance data integrity and accessibility.

About UsPostman is the premier API platform, empowering over 45 million developers and 500,000 organizations worldwide, including 98% of the Fortune 500. We facilitate the creation of an API-first world by simplifying every aspect of the API lifecycle, enhancing collaboration, and enabling users to develop better APIs at an accelerated pace.Headquartered in San Francisco, Postman also has offices in Boston, New York, Austin, Tokyo, London, and Bangalore, our founding city. As a privately held company, we are backed by esteemed investors such as Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. To learn more, visit postman.com or connect with us on X at @getpostman.P.S: We encourage you to read The "API-First World" graphic novel to gain deeper insights into our vision at Postman.The RoleWe are looking for a dynamic and strategic Senior Marketing Analytics Leader to establish and direct a high-impact analytics function within our Revenue Marketing team.This position is focused on transforming marketing into a fully data-driven revenue generator, delivering insights on performance, pipeline contributions, ROI, and growth prospects across integrated campaigns, Account-Based Marketing (ABM), customer lifecycles, and comprehensive search strategies (SEO + SEM).The ideal candidate will possess a combination of strategic insight, technical expertise, and business savvy. They must effectively link marketing initiatives to revenue outcomes, influence executive decisions, and construct scalable reporting frameworks that catalyze actionable insights—beyond mere dashboards.This leader will oversee a compact yet impactful team (starting with 2 direct reports) and collaborate closely with Campaigns, ABM, Digital, Search, Events, Sales, and Finance teams.

Join Windfall Data as the Director of Financial Services, where you'll be instrumental in shaping our growth within this vital vertical. In this dynamic role, you will not only lead outreach and engagement with our top 50-100 Financial Services accounts but also build and develop a talented team of Account Executives. Your contributions will directly influence how Windfall approaches the market in wealth management, private banking, insurance, and related financial service sectors.This is a player-coach role that invites you to actively participate while mentoring and guiding your team. You will collaborate closely with our co-founders, product, and marketing teams to define Windfall's financial services strategy, including product development, positioning, and target audiences. The ideal candidate thrives in both executive discussions and hands-on coaching sessions. If you prefer a role focused solely on management, this opportunity may not be the right fit.At Windfall, we are committed to revolutionizing how organizations understand and utilize people data. Our core values include: (1) Excellent communication; (2) Transparency; (3) Providing leverage, not just optimization; (4) Making a difference daily; and (5) Acting with integrity and trust.

Join our dynamic team at Monks as an Associate Director of Media Analytics. In this pivotal role, you will leverage your expertise in media analytics to drive strategic decisions and enhance our marketing initiatives.As a leader in the field, you'll be responsible for analyzing data trends, optimizing campaign performance, and collaborating with cross-functional teams to develop innovative strategies that align with our business objectives.

Permanent Direct Hire - Full Time PositionJoin our team as a Financial Analytics Consultant 3 in San Francisco, California.Your expertise will be pivotal in areas such as Home Lending, Consumer Credit, Personal Loans, Direct Auto, Dealer Services, and more. Collaborate with professional services teams, including HR, Finance, Credit Risk, and Compliance to drive business improvements.Utilize advanced consumer analytics to provide insights through financial P&L, cash flow NPV analysis, performance tracking, testing, behavioral profiling, and customer segmentation.Engage with Product Management, Marketing, Risk Management, Customer Service, Collections, and Fraud teams to develop financially sound business cases and optimize capital allocation.Contribute to strategic initiatives to enhance account production and profitability, leveraging cutting-edge technologies in a dynamic environment with senior management visibility.Drive long-term growth by optimizing income through sophisticated financial modeling and analytical techniques. Your ability to analyze complex problems and present data-driven solutions will be crucial.Experience in large data manipulation with SAS and strong communication skills are essential for success in this role.

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.

About Our TeamAt OpenAI, our Financial Engineering (FinEng) team plays a pivotal role in shaping the financial landscape of our products, including pricing strategies, packaging, checkout processes, payment systems, and subscription models. We collaborate closely with Product, Engineering, Risk, Finance, and Go-to-Market teams to ensure that the payment experience for OpenAI products is seamless, reliable, and efficient on a global scale.About This PositionAs a Data Scientist within the FinEng team, you will take ownership of analytics and experimentation initiatives aimed at enhancing our checkout and payment systems, subscriptions, and pricing & monetization strategies. Your responsibilities will include defining key performance metrics, building robust data assets, and designing experiments that drive conversion rates, minimize churn and payment failures, and broaden our global payment options. Your contributions will have a direct impact on revenue, customer satisfaction, and our international scaling efforts.This position is located in San Francisco, CA, and operates under a hybrid work model requiring three days in the office each week. We also provide relocation assistance for new hires.Your ResponsibilitiesLead analytics and experimentation for checkout and payment systems across different methods and regions, focusing on improving conversion while managing risk and latency.Develop and implement an experimentation framework for our in-house checkout process, defining success metrics, executing staged rollouts, and applying offline incrementality for scenarios where online testing is not practical.Create operational transparency and establish source-of-truth data in partnership with the FinEng Data Engineering team—develop team-level metrics, SLAs, and self-service dashboards that promote proactive decision-making.Drive analytics for subscription, retention, and monetization strategies—ensure readiness for new subscription feature launches, reduce involuntary churn through targeted retrials and nudges, and create frameworks to optimize pricing strategies based on elasticity and foreign exchange considerations.Ideal Candidate ProfileMinimum of 5 years of experience in a quantitative role (data science, product analytics, or experimentation) within dynamic or fintech environments.Proficient in SQL and Python, with demonstrated experience in designing and interpreting A/B tests and quasi-experimental designs.Skilled in developing product metrics from the ground up and operationalizing them for effective decision-making.Strong communication skills, capable of effectively engaging with Product Managers, Engineers, Risk and Finance partners, and executive leadership.

Okta is an independent identity provider focused on building secure, trusted infrastructure for both AI and human users. The Technology, Data, and Intelligence (TDI) team supports Okta’s global workforce by providing the technology and systems employees need to succeed. Role overview The Senior Director of Data Platform and Engineering leads a global group of data and analytics engineers. This leader maximizes the value of Okta’s data assets and reports to the VP of Data and Insights. The position requires a balance of deep technical expertise and the ability to engage in strategic business discussions. As a player-coach, the Senior Director builds and mentors the team, guides key initiatives, and maintains a strong data foundation. This role is central to Okta’s AI strategy. As AI becomes more integrated into Okta’s products and operations, the quality and governance of data are increasingly important. The Senior Director ensures that clean, trusted, and well-managed data supports all AI projects, shaping the platform for Okta’s ongoing growth. What you will do Lead and develop a high-performing team: Mentor, grow, and support a diverse group of data and analytics engineers. Foster a culture of excellence, collaboration, and continuous learning. Advance AI enablement: Work closely with AI Engineering teams to ensure data infrastructure and practices are ready for AI development and deployment. Define data governance standards, build quality training datasets, and develop scalable data pipelines for AI and machine learning models. Location Bellevue, Washington; Chicago, Illinois; San Francisco, California; Washington, DC

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.

At Upgrade, we empower individuals to take control of their financial futures through our accessible and responsible financial products. Since our inception in 2017, we have successfully assisted over 7.5 million customers in securing more than $42 billion in consumer credit. Our unwavering commitment to enhancing financial well-being drives us to design products that enable our customers to save money and achieve their financial goals. As a testament to our impact, we are supported by leading technology investors and have recently been valued at an impressive $7.3 billion.We take pride in fostering a collaborative and inclusive workplace culture, earning accolades as one of the World’s Top Fintech Companies by CNBC, Best Places to Work by Built In, and several other recognitions for our commitment to employee satisfaction and health.Join our team and contribute to revolutionizing financial products that enhance the lives of millions.About the Role:We are seeking a dynamic Director of Financial Institution Sales who will spearhead the development of our banking and credit union funding channel within their designated territory. This role involves promoting Upgrade’s suite of credit products, including personal unsecured loans and other consumer credit offerings, directly to CLOs, CFOs, and CEOs at depository institutions. The position reports to the EVP, Head of Investor Group.The role offers the flexibility of remote or hybrid work arrangements alongside our San Francisco headquarters.What You’ll Do:Present Upgrade’s unsecured consumer loans and emerging products to banks and credit unions.Represent Upgrade at regional conferences, delivering presentations to cultivate potential partnerships.Manage the sales pipeline from lead generation through to closing.Collaborate with onboarding and execution teams to advance partnership relationships and track success metrics in our CRM.

About AirwallexAirwallex stands as the premier unified payments and financial platform tailored for global enterprises. Our unique blend of proprietary infrastructure and innovative software empowers over 200,000 businesses worldwide—such as Brex, Rippling, Navan, Qantas, SHEIN, and many others—with comprehensive solutions to manage business accounts, payments, spend management, treasury, and embedded finance on a global scale.Founded in Melbourne, Airwallex boasts a diverse team of more than 2,000 talented tech professionals across 26 global offices. With a valuation of US$8 billion and support from top-tier investors like T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, we are at the forefront of shaping the future of global payments and finance. If you're prepared to embark on the most ambitious journey of your career, we invite you to join us.

Join our dynamic team at Sonsoft Inc. as a Data Science and Analytics Specialist. This role involves leveraging data to drive meaningful business decisions, utilizing advanced analytical techniques to interpret complex datasets. You will collaborate with cross-functional teams to deliver insights that enhance our strategic initiatives.