Product Manager – AI & Product Evaluation

Product Manager – AI & Product Evaluation

Location: United States (US-based candidates only)
Experience: 3+ years, preferably less than 10 years
Engagement: Project-based / Contract

About the Role

We are looking for experienced Product Managers based in the US to support a product-focused AI evaluation and research project. The ideal candidate will have strong product management fundamentals, hands-on experience driving product launches, and the ability to work comfortably with both business and technical workflows.

You will be expected to demonstrate strong analytical thinking, structured problem-solving, and the ability to translate product requirements and business objectives into actionable deliverables.

Key Responsibilities

• Drive and support product launches, with a focus on demonstrating measurable business impact through relevant metrics and data.

• Create and review Product Requirements Documents (PRDs) and other product documentation.

• Develop executive-level strategy decks and communicate product strategy clearly to stakeholders.

• Participate in launch readiness reviews and ensure products are prepared for successful rollout.

• Support roadmap planning and prioritisation based on business objectives, user needs, and data.

• Conduct data analysis to evaluate product performance and support product decisions.

• Work extensively with Google Workspace, including:

  • Google Docs
  • Google Slides
  • Google Sheets, including formulas and pivot tables

• Work with JSON files, including making and reviewing edits.

• Be comfortable with basic software development workflows, including committing code changes using Git and creating pull requests on GitHub.

• Operate and work with AI agent harnesses/tools, such as Antigravity and Claude Code.

• Follow structured evaluation frameworks and provide clear, detailed feedback on AI/product outputs.

Required Qualifications & Skills

• 3+ years of Product Management experience; candidates with less than 10 years of experience are preferred.

• Proven track record of rolling out products and demonstrating business impact through metrics.

• Hands-on experience with:

  • PRD writing
  • Executive strategy presentations/decks
  • Launch readiness reviews
  • Roadmap prioritisation
  • Data analysis

• Strong proficiency with Google Docs, Google Slides, and Google Sheets, including formulas and pivot tables.

• Comfortable working with JSON files and making structured edits.

• Familiarity with Git/GitHub workflows, including committing changes and creating pull requests.

• Comfortable learning and operating AI agent harnesses, such as Antigravity or Claude Code.

• Strong written and verbal communication skills.

• Ability to work independently, follow detailed instructions, and deliver high-quality work within defined timelines.

Preferred Qualifications

The following experience is preferred but not mandatory:

• Prior experience with LLM evaluation.
• Experience designing or working with evaluation rubrics.
• Experience in management consulting.
• Experience working on AI/ML or generative AI products.

Ideal Candidate

The ideal candidate is a hands-on Product Manager who combines strong product strategy and execution skills with technical comfort. You should be comfortable moving between executive-level product strategy, detailed documentation, data analysis, and basic developer workflows.

Experience with AI products or LLM evaluation is a plus, but candidates with strong Product Management fundamentals and the required technical proficiency are encouraged to apply.

How to Apply

If you meet the above requirements and are interested in contributing to an AI-focused product evaluation project, please share your updated CV/resume along with a brief summary of your relevant Product Management experience.