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Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Define and own the product roadmap for Market Data Feeds — balancing feed quality, coverage, and commercial ROI — and set measurable success criteria that hold delivery teams accountable.
- Own feed builds end-to-end: from vendor sourcing and data modeling through to production delivery, driving outcomes that directly support client goals.
- Develop solutions to strengthen market data operations and deepen the integration of Market and Reference Data across Addepar's products and services.
- Identify and close gaps in market data coverage, partnering with clients, sales, and data operations to surface high-impact sourcing opportunities.
- Maintain working knowledge of vendor licensing terms and entitlement workflows, ensuring sourcing and onboarding decisions are made with clear visibility into contractual constraints and cost implications.
- Partner with the licensing and finance functions to evaluate new data sourcing decisions against profitability, and provide product-level oversight on key licensing transitions (e.g., direct licensing migrations).
- Contribute to the evolution of Addepar's Security Master, directly linking Market Data inputs into expanding the richness of information delivered to client and internal product teams.
- Work closely with GTM, Sales, and Support to communicate Market Data changes proactively and serve as a product-informed partner on dataset capabilities, feed status, and onboarding timelines.
- Understand Addepar's products and clients deeply, using those insights to drive new opportunities that improve client experience.
Requirements
What you’ll need- Extensive relevant work experience and education that demonstrate proficiency in product management and user workflows
- Deep understanding and familiarity with Market Data vendors (Bloomberg, LSEG, S&P, Morningstar, etc) and how to best source and implement their content
- Domain expertise regarding market data processing and entitlement workflows, security mastering, and financial products as well as strong knowledge of the financial data ecosystem.
- Experience with building and launching commercial data products within financial services. Understanding of data governance practices.
- Ability to work cross functionally, particularly with engineering, operations, and GTM.
- Practical knowledge of agile thinking and lean practices; creative (non-dogmatic) with project approaches, willingness to experiment, and ability to guide teams toward activities and processes that best suit project goals
- Ability to identify the appropriate tools and techniques to accomplish objectives
- Knowledge of SQL and ability to query data to find answers to product questions. Experience with Python and Databricks is a plus.
- Experience and ability using AI tools to drive outcomes as a PM.
- Ability to set your team up for success through leadership, sense of urgency, accountability, and initiative
- Ability to partner with a variety of stakeholders (from highly technical to non-technical business colleagues) and work in a cross-functional setting
- A confident and positive attitude with low ego; high degree of ingenuity, resourcefulness, and problem-solving skills; ability to work within ambiguity.
Benefits
Comp & perks- Equal opportunity employer
- Reasonable accommodations for individuals with disabilities
- Global team events
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Product ManagementMarket Data ProcessingData ModelingSQLPythonDatabricksAgile MethodologiesLean PracticesData GovernanceSecurity Mastering
Soft Skills
LeadershipProblem-SolvingResourcefulnessCollaborationAdaptability