Product Manager, Platform

Company Overview:

We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data.

Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI — and in tech.

We’re a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI.

The Opportunity

We’re looking for a Product Manager to own product development across Protege’s verticals, focused on optimizing the ways we ingest, store, access, and deliver data. We have a large base of customers (including some of the biggest foundation models), partners (the leading AI data services companies), and data sources (prominent data holders making their data available for AI) in our network today, and we’re only just getting started.

It will be up to you to identify opportunities, work with stakeholders to prioritize them, design solutions with engineering, and oversee their build and rollout. You’ll build a product roadmap of solutions that will help our data pipelines and systems scale. You’ll translate those solutions into clear requirements for our engineering team, managing the development, QA, and launch cycles for those solutions.

Key Responsibilities and Scope:

• Lead product development for core offerings, which encompasses data pipelines, data tools, API/integration surfaces, vendor partnerships, and more

• Work closely with the other PMs to ensure shared infrastructure is extensible across verticals

• Drive the product roadmap by defining opportunities, prioritizing initiatives, validating hypotheses, and aligning stakeholders (engineering, ops, data lab group, go-to-market)

• Collaborate closely with engineering and data teams to write PRDs, user stories, acceptance criteria, and drive delivery

• Define metrics and success criteria and lead experimentation and iteration

• Contribute to product culture, hiring, and process definition

About You:

• 4+ years of technical product management experience (infrastructure, data pipelines, data storage solutions, etc)

• Product management experience in an early-stage startup

• Experience PMing data-processing products/solutions

• Execution bias: you don’t just write specs — you push features to production and iterate based on feedback

• Skilled at working with ambiguous problems: you can frame issues, break them into hypotheses, run experiments, and make decisions after evaluating tradeoffs

• Data and analytical skills: comfortable analyzing metrics and framing and navigating decisions with data

• Collaborative internally and externally

• Comfortable with early-stage constraints: limited resources, shifting priorities, wearing multiple hats

Bonus if you have these attributes:

• Experience in scaling product from seed / prototype phase to enterprise adoption