Product Manager

About Verita AI

Verita AI builds high-trust data pipelines that enable AI systems to understand real-world workflows across finance, operations, and frontier AI evaluation environments.

We work with domain experts to help train and evaluate next-generation AI systems across research, financial analysis, operational reasoning, and structured workflows.

Our founding team includes alumni of Mercor, Hudson River Trading, Citadel, IDEO, Stanford, and Yale. We partner with world-class researchers and engineers at leading AI labs to advance the state of the art.

Verita AI is a seed-stage company valued at $25 million, having raised $6 million led by Kindred Ventures.

About the Role

We are hiring a Product Manager to lead development of Foundry, Verita AI’s internal platform powering expert onboarding, workforce operations, and AI evaluation infrastructure.

Foundry is the operational backbone behind how Verita scales high-quality human data generation for frontier AI labs. The platform spans candidate applications, onboarding workflows, contracts, payments, time tracking, admin tooling, and AI-powered candidate evaluation systems.

As Product Manager, you will own the product lifecycle end-to-end across internal operations tooling, candidate-facing workflows, and AI-assisted evaluation systems. You will work directly with engineering, operations, leadership, and customers to identify bottlenecks, define requirements, prioritize roadmap decisions, and ship product quickly.

This is a highly execution-oriented role for someone who thrives in fast-moving startup environments and enjoys solving operationally complex problems with product thinking.

Responsibilities

• Own the Foundry product roadmap across admin tooling, onboarding systems, candidate workflows, and AI evaluation infrastructure

• Work directly with operations and leadership teams to identify workflow inefficiencies and translate them into scalable product solutions

• Write detailed PRDs, product specs, user flows, and operational documentation

• Partner closely with engineering to scope, prioritize, and ship features quickly

• Run product standups and ensure all initiatives have clear ownership, prioritization, and execution timelines

• Gather feedback directly from users, customers, and internal stakeholders to continuously improve product experience

• Define and prioritize V0/V1 feature launches while balancing speed, reliability, and operational impact

• Help shape Verita’s AI Interviewer and automated candidate evaluation systems

• Coordinate cross-functional communication across product, operations, recruiting, and engineering teams

• Maintain strong visibility into execution progress through tools like Linear, Slack, and GitHub

• Provide structured updates internally and externally to stakeholders when needed

Requirements

• 2+ years of experience in Product Management, Product Operations, Strategy & Operations, Consulting, or a related role

• Experience operating in high-growth startup environments or fast-paced execution-heavy teams

• Strong written communication skills with the ability to write clear PRDs and operational documentation

• Strong organizational and prioritization abilities

• Comfortable working closely with engineers and discussing technical tradeoffs

• Experience working cross-functionally with operations, engineering, and leadership stakeholders

• High attention to detail and strong ownership mentality

• Ability to move quickly with ambiguity and evolving priorities

• Familiarity with tools like Linear, GitHub, Slack, Notion, or similar operational tooling

• Strong interest in AI infrastructure, operational systems, and workflow automation

Preferred Qualifications

• Experience building internal tooling, marketplace products, workflow systems, or operations platforms

• Experience working with AI products, LLM workflows, or evaluation systems

• Familiarity with contractor operations, onboarding systems, payments infrastructure, or workforce tooling

• Previous experience at an early-stage startup or venture-backed company

• Technical fluency and ability to collaborate deeply with engineering teams

Compensation & Location

• Competitive salary + meaningful equity

• San Francisco preferred, remote flexibility available

• High ownership role with direct exposure to company leadership and strategic initiatives