Product Manager

Posted 19 Days Ago
Headquarters, AZ, USA
In-Office
Mid level
Information Technology • Software
The Role
Own end-to-end customer engagements for AI and software products: define strategy and roadmap, translate needs into specs, partner with engineering/design/data teams, lead presales scoping, manage releases and prioritization, engage clients and executives, and drive experimentation and continuous improvement with LLMs.
Summary Generated by Built In
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.

Skills Required

  • 3+ years product management experience
  • Hands-on experience with AI tools (Claude Code, Codex, ChatGPT) in day-to-day product work
  • Working grasp of how LLMs work: prompting, context design, agents, and limitations
  • Proven success owning complex, multidisciplinary software or AI projects from concept to market
  • Deep understanding of product strategy, discovery, and Agile delivery processes
  • Demonstrated experience in presales: scoping, solution design, estimating effort, client presentations
  • Strong technical background and ability to communicate effectively with engineering, AI and data teams
  • Excellent business acumen and strong written and verbal English communication skills
  • Experience across web, mobile, and backend systems
  • Bachelor's degree in Computer Science, Engineering, or related field (MBA/advanced degree is an advantage)
  • 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
  • Entrepreneurial experience (founder, co-founder, or early-stage startup leadership)
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The Company
HQ: Petaling Jaya
399 Employees
Year Founded: 2005

What We Do

Commit is a global tech services company with offices in Israel, US, Canada, UK, and Europe. The company was founded in 2005 and has over 700 multi-disciplinary innovation experts who serve a broad range of companies, from small startups to large enterprises in multiple business sectors. Commit specializes in advanced technologies and applications with dedicated practices in Cloud, GenAI, Software, IoT, Big Data, Cyber, Collaboration, Data center migration projects, and more. Commit offers innovative, end-to-end technology solutions by developing custom software and IoT platforms for clients looking to build their next-gen products within the modern ICT world. Commit’s complete and comprehensive engineering powerhouse of resources, and proprietary Flexible R&D methodology helps transform its clients’ technology visions into high-quality products while reducing costs and improving time-to-market.

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