Source Job

• Lead and develop a team of product managers in the Data Feeds group.
• Own product portfolio strategy and execution, prioritizing across roadmaps and shared capabilities.
• Directly own and build a strategically important data feed or quant-focused feed initiative.

YipitData is a market research and analytics firm that analyzes billions of alternative data points to provide insights for investors and corporations. It has raised $475M, valued over $1B, and has been recognized as a Best Workplace by Inc. for three consecutive years, emphasizing transparency, ownership, and continuous mastery.

• Own data strategy and execution for client deliverables in new sectors, driving accuracy, value, and efficiency.
• Investigate and resolve data quality issues, implementing scalable fixes and maintaining workflows.
• Operate as a player-coach, mentoring analysts and partnering cross-functionally with Data, Insights, Revenue, and Engineering teams.

YipitData is the leading market research and analytics firm for the disruptive economy, providing actionable insights from billions of alternative data points. With a valuation over $1B and a people-centric culture recognized as a Best Workplace for three consecutive years, the company operates globally across the US, APAC, and India.

• Own the strategy and commercial execution for YipitData's Quant business, leading a small team of sellers and BD professionals.
• Drive revenue growth by selling data and research products into systematic funds, quantamental investors, and quantitative teams.
• Partner with Product, Research, and Marketing to shape go-to-market strategy and scale operations for a rapidly growing segment.

YipitData is a market research and analytics firm that analyzes billions of alternative data points to provide actionable insights for the disruptive economy. It has raised $475M, operates globally, and is recognized by Inc. as a Best Workplace for three consecutive years.

• Lead data platform org: database engineering, data capture, curation, production experience, and governance.
• Define strategy and roadmap for data infrastructure, modernizing architecture and reducing technical debt.
• Build scalable platforms and tooling for independent, reliable data pipelines.

Our partner is a data-driven organization focused on building reliable data infrastructure and enabling engineering teams to operate independently. They foster a remote, digital-first culture with a data platform team of ~50 people.

• Own data products end-to-end, driving success through accuracy, client value, and efficiency.
• Work with massive datasets to answer key client questions and develop deep expertise in proprietary methods.
• Use AI and tooling to drive leverage, automating workflows and validating AI-generated outputs.

YipitData is a market research and analytics firm that helps investment funds and Fortune 500 companies understand company performance and market trends. With offices in the US, APAC, and India, the company is recognized as a Best Workplace for three consecutive years, fostering a culture of transparency, ownership, and continuous learning.

• Lead the EU data team and shape product strategy as we expand across Europe.
• Build the learning loops and data foundations for new markets, from metrics to forecasts.
• Represent Data at EU leadership and ExCo level, driving decision-making with commercial judgement.

Monzo is a digital bank on a mission to make money work for everyone, offering personal and business accounts, savings, investments, credit cards, and pensions. We're a fast-growing, inclusive company with a strong data-driven culture and a long history of creating magical moments for our customers.

• Own data infrastructure hands-on: pipelines, ETL/ELT, freshness, reliability, and cost.
• Build trusted data layer with models, tests, observability, and metrics for self-serve use.
• Lead as player-coach: grow a two-person team and ship an AI initiative quarterly.

Fundraise Up is a global fundraising platform that makes donating to nonprofits fast, seamless, and accessible. It powers tens of millions in monthly donations, serves leading nonprofits like UNICEF, and holds a 4.9/5 rating.

• Lead the Marketing Data team to design and execute a multi-year roadmap aligned with Stripe's growth strategy.
• Build a marketing measurement strategy connecting investments to incremental growth, pipeline, and revenue.
• Guide AI adoption in marketing and develop a high-performing organization of data scientists and managers.

Stripe is a financial infrastructure platform for businesses, helping millions of companies accept payments and grow revenue. With a mission to increase the GDP of the internet, Stripe fosters a culture of passion, grit, and integrity, welcoming diverse perspectives.

• Define and own the technical strategy for Octave's data platform and AI/ML capabilities, partnering with product and business leaders.
• Lead and mentor a data platform team while remaining hands-on in architecture, prototyping, and complex engineering problems.
• Balance near-term delivery with foundational investments to scale data and AI initiatives, driving KPIs and technical excellence.

Octave is a modern behavioral health practice offering evidence-based individual, couples, and family therapy in-person and virtually. They focus on quality care and payer partnerships to make therapy affordable, with a growing team and a culture of empathy and collaboration.

• Own the strategy and roadmap for the fundamental investor business, deciding which sectors to cover and what products to build.
• Set the research agenda with data science, validating signals and ensuring they track KPIs reported by companies.
• Partner across teams including data science, engineering, sales, and marketing while staying close to customers through analyst calls and win/loss reviews.

Apptopia estimates worldwide downloads, revenue, and active users for every mobile app and runs a first-party panel showing app usage. Backed by investors like Mark Cuban and ABS Capital, the company serves institutional investors and equity research teams with data-driven insights.