- You will decide what data Plaid goes after next. Bank data got us here, but the picture our customers need now includes things we do not have: property tax, merchant and SKU-level purchases, utilities, tax, payroll. Some of it we should build with our own technology. Some of it we should partner or pay for. Someone has to make those calls with conviction and a real business case behind them, and that person is you
- This is a 0-1 role. You will start with two to three engineers and a mandate to prove something real: Plaid’s first non-bank data offering, live, inside your first year. Along the way you will set the multi-year strategy for supply expansion, define what quality and completeness mean for data types nobody here has worked with before, and build the internal case that turns a promising vertical into a funded bet
- Set the multi-year strategy for non-bank data supply, grounded in what our products and customers need rather than what is technically interesting
- Build and quickly execute against the one year plan - showcasing fast momentum and impact
- Force-rank new data types across the company and own the business case for each, including the ones you recommend against
- Make and defend build, buy, and partner decisions alongside data partnerships, corporate development, and legal
- Ship Plaid’s first non-bank data offerings, as internal insight inputs or externalized to customers
- Partner with engineering and data teams on the taxonomies, quality controls, and coverage metrics that new data types require
- Define the metrics for supply expansion and report progress to leadership and cross-functional stakeholders
Benefits
- Vibrant offices in SF, NYC, and Raleigh-Durham—with catered meals, happy hours, and clubs to keep you connected
- Competitive pay, comprehensive health benefits, and support for fertility, mental health, and parental leave
- Lifestyle perks including home office stipends, daycare support, and commuting benefits like CitiBike and Lyft
Leadership, stakeholder influence, and communication :You should be comfortable working cross-functionally (engineering, data, product) and influencing without direct authority. You must be able to explain complex technical ideas to non-technical stakeholders, drive alignment, and make trade-offs crystal clearAnalytical rigor: You are comfortable working directly with data, cost models, and operational metrics to make and defend complex decisionsDeep technical fluency: You can reason about large-scale systems, load management, API platforms, and machine-learning models and engage engineers as a close product partner8+ years of experience, including 5+ in product management or equivalent founder/operator rolesPlatform & systems thinking mindset: You think in systems, and design for reuse and the long termWe encourage you to apply to a role even if your experience doesn’t fully match the job description