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Provectus

Senior Product Owner – Forward Deployed AI Delivery

Provectus

. Own client engagements end to end, from use case framing and business case through scoped delivery, first deployment, and measurable results .

Posted 10/16/2026full-timeUnited StatesSenior💰 $140,000 - $180,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product ownership and delivery leadership, particularly in AI/ML and generative AI applications. Proficient in Agile methodologies, client engagement, and data fundamentals, with a strong focus on driving measurable results and continuous improvement.

Highest-signal resume keywords
Product OwnershipGenerative AI ApplicationsAgile MethodologiesClient EngagementData Fundamentals

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI/MLGenerative AILLM ApplicationsData ModelingETL/ELTData GovernancePrompt EngineeringVector DatabasesAgile ExecutionDesign Thinking
Soft Skills
Structured Problem SolvingExecutive StorytellingEngineering EmpathyBias To ActionStakeholder Alignment
Tools & Technologies
ClaudeClaude CodeMCP ServersAWSBedrockMLOpsAI ObservabilityConnectorsAgent FrameworksSkills and Plugins
Industry Keywords
Financial ServicesInsuranceHealthcareLife SciencesClient FacingConsultingMarket FitROIChange ManagementContinuous Improvement

Tech Stack

Tools & technologies
AWSCloudETLSDLC

About the role

Key responsibilities & impact
  • Own client engagements end to end, from use case framing and business case through scoped delivery, first deployment, and measurable results
  • Define value propositions, positioning, and reusable artifacts for assigned Programs or Blueprints
  • Align sales, delivery, and account teams around offerings
  • Build business cases covering market fit, ROI, and competitive positioning, and translate them into scoped statements of work
  • Run discovery, use case validation, design thinking workshops, and user research
  • Turn findings into demos and production deployments
  • Stand up Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation on live client data
  • Build hands on with Claude, Claude Code, MCP servers, connectors, Skills, and plugins
  • Define product vision and roadmaps for GenAI, LLM, RAG, and agentic AI engagements
  • Judge solution quality alongside architects and engineers
  • Break complex work into incremental releases and balance delivery speed against technical debt and architecture
  • Lead Agile and Scrum execution across backlog, sprint planning, and release
  • Define success metrics and analytics and drive continuous improvement through root cause analysis
  • Contribute to the AI Maturity Index, ROI signal, and cost read measurement framework
  • Support change management, stakeholder alignment, enablement, and reusable playbooks

Requirements

What you’ll need
  • 5 to 7+ years in product ownership, solution ownership, technical product management, or delivery leadership
  • 3 to 5+ years working with AI/ML, generative AI, LLM applications, agentic systems, or data platforms
  • Deep domain expertise in Financial Services and Insurance and/or Healthcare and Life Sciences, ideally in a client facing or consulting context
  • Track record operating forward deployed or embedded with clients, including hands on prototyping
  • Proven ability to take an offering, program, or product from zero to one and land it as real client delivery
  • Daily working use of Claude, Claude Code, and similar GenAI tools, including building your own skills, workflows, and productivity tooling
  • Comfort with MCP (Model Context Protocol) integrations, connectors, and custom agent harnesses
  • Understanding of GenAI and agentic patterns, including prompt engineering, RAG, embeddings, vector databases, and agent frameworks
  • Data fundamentals: ETL/ELT, data modeling, and data governance in an enterprise context
  • Familiarity with AWS as a primary cloud platform, including Bedrock, and working awareness of MLOps and AI observability
  • Strong Agile and Scrum experience, and familiarity with outcome based, milestone priced consulting engagements
  • Design thinking, data driven decision making, and executive storytelling
  • Enough engineering empathy to earn credibility with senior engineers and solutions architects
  • Bias to action and structured problem solving in ambiguity
  • Based in the San Francisco Bay Area or New York City metro area
  • Authorized to work in the US without sponsorship
  • Nice-to-have certifications and experience are optional and excluded from minimum requirements

Benefits

Comp & perks
  • Health, dental, vision, and 401(k) with company match
  • Unlimited PTO
  • Access to the latest AI tools and premium subscriptions
  • Internal training programs with full support for AWS and Claude certifications
  • Hybrid work in San Francisco or New York