Senior AI Product Manager

FormativGroup

. Research emerging technologies and market trends across agentic AI, generative AI, large language models, OCR, multimodal AI, document extraction, and retrieval .

Posted 10/30/2026full-timePhoenix • Arizona • United StatesSenior💰 $50 - $55 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI product management with a focus on generative AI, large language models, and document intelligence. Capable of defining product strategies, evaluating AI technologies, and collaborating with technical teams to deliver actionable insights and recommendations.

Highest-signal resume keywords

AI Product ManagementGenerative AILarge Language ModelsDocument IntelligenceTechnical Product Requirements

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Product StrategyEvaluation Criteria DefinitionProofs of ConceptTechnical Risk AssessmentDocument ExtractionRetrieval-Augmented GenerationAnalytical SkillsEngineering-Led ExperimentsIntegration DependenciesPerformance Metrics

Soft Skills

Executive CommunicationDocumentation SkillsDecision-MakingCollaborationBuilding Confidence

Tools & Technologies

AI ModelsThird-Party ToolsOpen-Source OptionsScalable Production SystemsData Privacy Tools

Industry Keywords

Agentic AIMultimodal AIHuman-in-the-Loop WorkflowsEnterprise SecurityResponsible AI

About the role

Key responsibilities & impact

Research emerging technologies and market trends across agentic AI, generative AI, large language models, OCR, multimodal AI, document extraction, and retrieval
Define AI product strategy, capabilities, requirements, and roadmaps, including Document Intelligence use cases
Assess AI models, platforms, third-party tools, and open-source options, including build-versus-buy tradeoffs
Define evaluation criteria for accuracy, performance, scalability, reliability, latency, and cost
Work with technical teams to scope proofs of concept, review benchmarks, and inform product decisions
Identify integration dependencies, technical risks, and production-readiness considerations
Present findings, documentation, and recommendations to senior stakeholders
Establish priority AI use cases, product requirements, decision criteria, and practical roadmaps
Align engineering and technical partners on proofs of concept, evaluation metrics, and benchmark findings
Deliver prioritized product recommendations accounting for feasibility, quality, performance, cost, and risk
Build confidence with technical teams and leadership through clear, actionable decision-making

Requirements

What you’ll need

5+ years of experience in AI product management or technical product management
Demonstrated ownership of technical product requirements, priorities, and roadmaps
Strong working knowledge of generative AI, agentic AI, large language models (LLMs), multimodal models, OCR, document extraction, and retrieval-augmented generation (RAG)
Understanding of AI agents, tool calling, orchestration, reasoning, and human-in-the-loop workflows
Experience defining evaluation needs and using engineering-led experiments or proof-of-concept results to guide product decisions
Experience partnering with engineering, architecture, security, and data science teams
Strong analytical, documentation, and executive communication skills
Understanding of enterprise security, data privacy, responsible AI, governance, and scalable production systems
Applicants must be authorized to work for any employer in the United States
Applicants must not require employment visa sponsorship now or in the future

Benefits

Comp & perks

Discretionary bonuses, commissions, or other incentive programs
Comprehensive benefits package
Medical insurance
Dental insurance
Vision insurance
401(k)
Paid time off
Reasonable accommodations for individuals with disabilities