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AI Product Manager

Job in Houston, Harris County, Texas, 77246, USA
Listing for: BlackCube Labs
Full Time position
Listed on 2026-06-24
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Product Designer
Salary/Wage Range or Industry Benchmark: 116150 USD Yearly USD 116150.00 YEAR
Job Description & How to Apply Below

AI Product Manager

Job Summary / Position Overview

HP is seeking an AI Product Manager to define, build, and scale AI-driven products and capabilities across our enterprise platform landscape (e.g., SAP, Service Now, Mule Soft, Adobe Commerce, and automation platforms). This role is accountable for end-to-end product ownership, including opportunity identification, product strategy, roadmap development, requirements definition, backlog management, delivery partnership with engineering, and ongoing adoption and optimization.

The ideal candidate brings a strong learning mindset and curiosity, practical familiarity with AI product management, and a technical foundation enabling effective partnership with engineering and architecture teams.

Key Responsibilities AI Product Strategy & Innovation
  • Identify, evaluate, and prioritize AI and automation opportunities across enterprise platforms and business processes.
  • Define product vision, outcomes, and roadmap aligned to business priorities and platform strategy.
  • Assess platform-native AI capabilities versus custom-built solutions to maximize value, speed, and scalability.
Product Lifecycle Management
  • Own the full product lifecycle from ideation through delivery, adoption, continuous improvement, and end‑of‑life planning.
  • Translate strategy into clear product requirements, user stories, acceptance criteria, and a well‑managed backlog.
  • Drive product operating rhythms including sprint readiness, prioritization, release planning, and measurable outcomes.
Cross‑Functional Leadership & Stakeholder Management
  • Partner closely with platform engineering, architecture, security, operations, and business stakeholders to deliver value at enterprise scale.
  • Provide clear communication on product direction, tradeoffs, milestones, risks, and outcomes to senior stakeholders.
AI Governance, Responsible AI & Risk Management
  • Ensure AI products align to responsible AI principles and enterprise expectations for compliance, security, and privacy.
  • Contribute to governance practices that reduce risk (e.g., model behavior, data exposure, operational controls) while enabling innovation at speed.
Metrics, Adoption & Value Realization
  • Define success metrics and drive adoption through iterative enhancements, stakeholder enablement, and outcomes tracking.
  • Track and report product performance indicators to guide prioritization and future roadmap decisions.
Required Qualifications
  • Bachelor’s degree in Business, Engineering, Computer Science, Data Science or related field
  • 7–10+ years of experience in Product Management, Digital Transformation, or Enterprise Platforms
  • Significant experience in product management across digital/software products, with demonstrated exposure to AI/ML or GenAI concepts and use cases.
  • Strong product fundamentals: discovery, requirements definition, prioritization, backlog hygiene, and release execution.
  • Demonstrated ability to influence and align cross‑functional stakeholders in a matrixed enterprise environment.
  • Curiosity and learning agility: strong ability to learn new domains quickly, ask incisive questions, and turn ambiguity into product clarity.
Preferred Qualifications
  • Technical background in software engineering, data, or applied AI/ML; ability to engage with engineering teams on feasibility, architecture considerations, and delivery tradeoffs.
  • Experience with LLMs, prompt engineering, and responsible AI practices.
  • Exposure to GenAI platforms and cloud AI services (e.g., Azure AI and similar).
  • Experience with AI deployment patterns, or scaling AI solutions across large organizations
  • Experience building AI‑powered products or intelligent automation solutions
  • Product management and AI related certification is a plus
Knowledge, Skills, and Competencies
  • Product strategy and roadmap ownership; ability to connect product decisions to measurable business outcomes.
  • Strong written and verbal communication, including executive‑ready storytelling and business case development.
  • Structured problem‑solving, prioritization discipline, and bias for execution.
  • Strong collaboration and leadership in cross‑functional product operating models.
Pay & Benefits

The pay range for this role is $116,150 to…

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