Product Manager
Description
Commit is seeking an exceptional Product Manager that will own customer engagements end to end, from the first discovery call to production. You sit between the customer and our AI and software engineers, turning business and customer needs into a scoped plan, a spec engineers can build from, and evals that proves it works.
You're fluent in AI tools (Claude code/ codex/ etc.) to research faster, draft specs, prototype, and pressure-test ideas, and you have a real feel for what today's models can and can't do.
What you'll do
- Define and communicate a compelling product strategy, and roadmap across multiple domains and client engagements.
- Own customer engagements end to end, from discovery through design, development, launch, and improvement.
- Partner with engineering, design, data science, and delivery teams to ensure products meet high standards of usability, scalability, and technical integrity.
- Translate market trends, customer insights, and business objectives into clear product requirements and measurable outcomes.
- Manage product prioritization and release planning across competing client and business needs.
- Participate in presales activities, including scoping, solution design, and client-facing presentations, to help shape proposals and ensure alignment between client needs and product vision.
- Engage directly with clients and executives to define product vision, success metrics, and product roadmap.
- Drive innovation and continuous improvement through experimentation, data-driven decisions, and a strong understanding of emerging AI capabilities and their limits.
Requirements
What you bring
- 3+ years product management experience.
- Hands-on experience working with AI tools (e.g., Claude Code, Codex, ChatGPT) in your day-to-day product work.
- A working grasp of how LLMs actually work: prompting, context design, agents, and where they break.
- Proven success owning complex, multi-disciplinary software or AI projects from concept to market, ideally several at once.
- Deep understanding of product strategy, discovery, and Agile delivery processes.
- Demonstrated experience in presales processes. Working closely with sales and delivery teams to scope solutions, estimate effort, and present product value to clients.
- Strong technical background and the ability to communicate effectively with engineering, AI and data teams.
- Excellent business acumen and communication skills (written and verbal, English fluency is a must).
- Experience in web, mobile, and backend systems.
- Demonstrated ability to work cross-functionally with internal and external stakeholders, including executive leadership and enterprise clients.
- Bachelor's degree in Computer Science, Engineering, or a related field (MBA or advanced degree – advantage).
Nice to have
- Hands-on experience building Agentic AI or LLM-powered products shipped to production.
- Hands-on prompt engineering or eval design (eval frameworks, LLM-as-judge, rubric-based scoring).
- Background in enterprise software, AI platforms, or internal tooling.
- Experience in cybersecurity, fintech, or defense tech.
- Experience in a consulting or professional services company – strong advantage.
- Entrepreneurial experience (founder, co-founder, or early-stage startup leadership) – strong advantage.
