Staff Product Manager

Collibra•New York, NY

13h•$204,000 - $255,000•Hybrid

About The Position

Collibra’s AI Product Management team determines how AI is built into its platform and helps customers govern and trust their own AI systems. The Staff Product Manager will work with the Director of AI Engineering to shape AI strategy and the roadmap, and with Product and Engineering leaders to deliver AI features for customers. The role reports directly to the Vice President, Product Management and will help define responsible, enterprise-grade AI in data governance. This is a hybrid position based in Collibra’s New York office. Employees are expected to work from the office at least two days each week. Success includes learning the platform, roadmap, and current AI releases in the first month; drafting the AI strategy and 12-month roadmap, assigning initiative owners, and documenting key architecture decisions by the third month; and obtaining Executive Committee approval for the strategy and roadmap, delivering in-flight features on committed dates or scope, and establishing a pre-launch AI review with Legal and Security by the sixth month. The standard base salary range is $204,000–$255,000 per year. The position is not eligible for additional commission-based compensation. Offers are based on factors including experience, skills, and location. Collibra also offers equity ownership, bonus potential, a monthly Flex Fund stipend, pension/401(k) plans, and other benefits. The position is not eligible for visa sponsorship.

Requirements

At least 5 years of product management experience.
Experience working on AI- or ML-powered software, including taking an AI or ML feature from design to launch with engineers.
Experience presenting product strategy to senior or executive leadership.
Demonstrated proficiency using AI tools such as Claude, Gemini, ChatGPT, or Copilot to address real-world business challenges, drive measurable outcomes, or streamline workflows.
A bachelor’s degree or equivalent related working experience.
Strong AI/ML technical fluency, including weighing model and provider options based on cost, latency, quality, and data-handling constraints.
Ability to define success criteria for AI features before development, including evaluation criteria, guardrails, and applicable data restrictions.
Ability to prioritize based on customer problems and business value, including declining AI work that is unlikely to pay off.
Clear communication skills across Engineering, Legal, Sales, and executive audiences.
Ability to move quickly in a changing field while maintaining governance and security standards.

Responsibilities

Define Collibra’s AI product strategy and 12-month roadmap with the Director of AI Engineering and Product and Engineering leaders.
Co-author customer-facing AI features from problem framing through launch and adoption, working directly with customers on challenges such as data-management restrictions and custom AI models.
Lead evaluation of AI models and approaches with Engineering for internal use and the customer platform, including central model evaluation, platform AI testing, and emerging AI paradigms.
Set responsible AI standards with Engineering, Legal, and Security, including a pre-launch review process for AI features.