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Forward Deployed Product Manager

ABHITO LLC Houston, TX

Houston, TX

Today

Full time Ai Workflows Artificial Intelligence Customer Experience

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Job Description

Forward Deployed Product Manager responsible for end-to-end customer engagements in heavy industry, from problem discovery to deployment, adoption, and measurable business impact.

Responsibilities

Lead customer engagements from initial problem discovery through deployment, user adoption, and tangible business outcomes
Build credibility with stakeholders across field teams, technical staff, executives, and commercial buyers through deep domain fluency
Convert complex customer workflows into clear problem statements, MVP scope, data requirements, user stories, and product requirements
Collaborate with engineering and design to translate needs into stable, scalable AI powered solutions
Accelerate pilot to production transitions by delivering value that encourages ongoing use after pilots
Balance urgency, technical complexity, commercial value, and long-term product reuse when making tradeoffs
Identify repeatable patterns across engagements and formalize them into scalable product and delivery playbooks
Monitor expansion, renewal, and commercial outcomes with a variable bonus tied to account growth

What you'll do

Own engagements end-to-end from problem discovery to deployment, adoption, and measurable impact
Establish credibility with diverse customer stakeholders including field teams, technical staff, executives, and buyers through domain expertise
Translate intricate workflows into well-defined problem statements, MVP scope, data needs, user stories, and product requirements
Partner with engineering and design to deliver robust AI powered solutions
Drive pilot to production transitions by delivering value that sustains long-term product use
Navigate tradeoffs among urgency, complexity, value, and future reuse of the product
Expose repeatable engagement patterns and convert them into scalable delivery processes
Keep close to expansion and renewal opportunities, with alignment to commercial outcomes

Key requirements

5+ years in customer-facing, high-ownership roles such as consulting, forward-deployed product, or enterprise delivery
Strong exposure to heavy industry domains—oil and gas, utilities, chemicals, or refining—as operator, engineer, or consultant
Proven consultative engagement ownership with proven linkage to commercial outcomes
Product experience, including writing tickets and collaborating with engineering and design
MBA from a top program preferred (Harvard, Tuck, Stanford, Haas, Wharton, Booth, Kellogg)
Experience in MBB or Palantir-type forward-deployed product roles preferred
Startup experience preferred
Hands-on familiarity with AI tools such as Claude and LLMs in day-to-day work

Technologies

Claude
LLMs

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