Senior Product Owner | Forward Deployed AI Delivery (SF and NYC)
Posted Updated
Provectus is a Premier AWS Partner and an Anthropic Strategic Partner, featured in Forrester's AI Technical Services Landscape. We are roughly 420 engineers building production AI for enterprise clients in Financial Services, Insurance, Healthcare and Life Sciences, Retail, and Entertainment. We build custom generative AI and agentic AI systems on live client data, not off the shelf products and not demos.
We are hiring a Senior Solution/Product Owner for our AI Delivery practice, a forward deployed seat at the intersection of frontier AI and enterprise transformation. You will own both the story and the delivery for client engagements built on Cowork Activation, Agentic SDLC with Claude Code, and Blueprint Activation. In one week you might frame an ROI case for a CFO, align a healthcare or financial services stakeholder on a compliant GenAI rollout, and pair with a Forward Deployed Engineer to wire an MCP integration or ship a Claude Code harness.
What You Will Do:
- Own client engagements end to end, from use case framing and business case through scoped delivery, first deployment, and measurable results
- Define the value proposition, positioning, and reusable artifacts for your assigned Program or Blueprint, and align sales, delivery, and account teams around them
- 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, and turn findings into demos and production deployments
- Stand up Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation on live client data, driving rapid prototyping from use case to context to result
- Build hands on with the Provectus delivery stack, including Claude, Claude Code, MCP servers, connectors, Skills, and plugins
- Define product vision and roadmap for GenAI, LLM, RAG, and agentic AI engagements, and 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, following our Sprint, Enable, Realize engagement model
- Define success metrics and analytics, and drive continuous improvement through root cause analysis
- Contribute to the measurement framework behind our board level AI Maturity Index, ROI signal, and cost read
- Support change management, stakeholder alignment, enablement, and reusable playbooks so wins repeat across accounts
What You Will Bring:
- 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, as a Forward Deployed Engineer or Forward Deployed Expert, 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, deep enough to assess quality and translate it for executive stakeholders
- Data fundamentals: what ETL/ELT, data modeling, and data governance mean 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 that holds up in front of a CFO or CIO
- Enough engineering empathy to earn credibility with senior engineers and solutions architects on day one
- Bias to action and structured problem solving in ambiguity
- Based in the San Francisco Bay Area or New York City metro area, and authorized to work in the US without sponsorship
Nice To Have:
- A second priority vertical beyond your primary Financial Services or Healthcare focus
- Prior experience in an AWS Premier Partner or Anthropic partner environment
- Claude Certified Architect, Seller, or Developer certification, or willingness to complete one early
- Certifications such as CSPO, SAFe PO/PM, or AWS, Azure, or GCP
- Software development or solutions engineering background
What We Offer:
- Base salary range of $140,000 to $180,000 USD depending on experience
- Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
- The chance to shape how leading enterprises adopt AI, from strategy through first deployment
- A forward deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
- A growing AI delivery practice where you help build the tooling and frameworks, not just use them
- 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
Skills
As published by lever · 17 questions · 3 written answers
Basics
Which location are you applying for?, Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL, Other website
Short answers (7)
- If yes, list up to 3 use cases you worked on in that industry (for example underwriting, claims, revenue cycle, compliance, audit) and your role in each, separated by commas. Write NONE if not applicable.
- Link to one thing you built (GitHub repo, demo, or write-up).
- What is your preferred OTE Range for the role?
- What is preferred Base salary Range for the role?
- What is your country?
- What is your state/ province?
- What is your city of residence?
Pick from a list (7)
- This is a hybrid role. Are you able to work from our office in San Francisco or New York City 2 to 3 days per week?
- Are you authorized to work in the United States without visa sponsorship, now or in the future?
- Have you worked directly with external clients, in consulting, professional services, or an embedded or forward deployed role?
- Have you delivered an AI, GenAI, or agentic solution that real users used in production, not only a proof of concept?
- Have you worked in Financial Services, Insurance, Healthcare, or Life Sciences?
- Have you built your own AI skills, agents, automations, MCP integrations, or internal tools?
- What is your seniority level for this role? optional
Written answers (3)
- Which products, services, or client projects have you worked on most recently? For each, tell us what it was, who used it, and what your personal role was. Mark which one is the AI system used in production, if any.
- Which coding agent do you use to build (Claude Code, Codex, Cursor, other)? Name one thing you set up for it yourself (a skill, MCP server, hook, or CLAUDE.md rule) and what it does. Write NONE if you only use chat.
- Please provide link to your LinkedIn profile