Senior Product Owner | Forward Deployed AI Delivery (SF and NYC)

Lever, Inc.; San Francisco (CA); Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Health, dental, vision

401(k) with company match

Unlimited PTO

Hybrid work in SF or NYC

Access to AI tools & training

Job summary

Provectus, a Premier AWS Partner, seeks a Senior Solution/Product Owner for its AI Delivery practice. You will own both the story and delivery for client engagements across Cowork Activation, Agentic SDLC with Claude Code, and Blueprint Activation, working with live client data.

You will lead discovery,ROI framing, and prototyping with forward deployed engineers, shaping GenAI roadmaps for enterprise clients in financial services, healthcare, and beyond. Hybrid work in SF/NYC is available.

Qualifications

• 5–7+ years in product ownership, solution ownership, or delivery leadership.
• 3–5+ years working with AI/ML, generative AI, or data platforms.
• Deep domain expertise in FS/Insurance and/or Healthcare/Life Sciences.
• Experience embedded with clients in forward deployed roles.
• Proven ability to take offerings from zero to one for client delivery.

Responsibilities

• Own client engagements end to end from use case framing to delivery and measurable results.
• Define value proposition and align sales, delivery, and accounts teams.
• Build business cases for market fit, ROI, and competitive positioning.
• Run discovery, design thinking workshops, and turn findings into demos and deployments.
• Lead Agile and Scrum execution across backlog, sprints, and releases.
• Define success metrics and analytics for AI maturity and ROI.

Skills

Product ownership

AI/ML experience

Domain expertise: FS/Insurance

Domain expertise: Healthcare

Forward deployed experience

Prototyping / hands-on

Claude tools familiarity

MCP integrations

GenAI patterns

Data fundamentals (ETL/ELT)

AWS Bedrock familiarity

Agile & Scrum

Executive storytelling

Engineering empathy

Problem-solving in ambiguity

Tools

Claude Code

MCP servers

Connectors

Plugins

Job description

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