Staff Product Manager - Data Supply Expansion
AI in this role
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam.
About the Team
Our Network Enablement and Access team’s mission is to unlock the potential of the Plaid network by broadening and deepening our connection to data partners. We do this by providing solutions that allow our data partners to be part of the network and by providing best in class connections. By expanding and improving our connections to data providers, we are able to strengthen the Plaid network while also enabling great products and experiences.
Plaid's data access platform owns the deep-infrastructure layer that determines how reliably and efficiently data flows from our data providers to our customers. As the data supply network evolves, we are building the new platform capabilities that keep it strong: ensuring that our traffic stays smooth for the providers we depend on, building improved detection capabilities that enable us to catch issues as they happen, and evolving our data access toolkit to be more efficient over time.
About the role:
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.
Responsibilities:
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
Qualifications:
8+ years of experience, including 5+ in product management or equivalent founder/operator roles.
Analytical rigor: You are comfortable working directly with data, cost models, and operational metrics to make and defend complex decisions.
Deep technical fluency: You can reason about large-scale systems, load management, API platforms, and machine-learning models and engage engineers as a close product partner.
Platform & systems thinking mindset: You think in systems, and design for reuse and the long term.
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 clear
Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.
Please review our Candidate Privacy Notice here.
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
How we rate this
Staff Product Manager - Data Supply Expansion at Plaid rates 26 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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