---
title: 'Senior Product Owner | Forward Deployed AI Delivery (SF and NYC) at Provectus'
canonical: 'https://feeny.ai/job/senior-product-owner-forward-deployed-ai-delivery-sf-and-nyc-provectus-new-york-ctt0xv8sps4g'
type: 'job'
last_seen: '2026-10-15'
---

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

- **Company:** Provectus
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-29
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.lever.co/provectus/acb1203b-81fe-4461-ac62-5c800e017965

## 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

## About Provectus

## Company Overview
- **One-liner**: Provectus is a privately-owned AI consultancy and solutions provider that designs, builds, and ships production-grade AI systems for enterprise clients, with deep domain expertise in Financial Services and Healthcare & Life Sciences.
- **Entity Type**: Private (Privately owned, bootstrapped/growth funded; no public funding rounds disclosed)
- **Headquarters**: Palo Alto, California, USA
- **Founded**: 2010
- **Founders**: Founders-led (names not publicly listed on the provided sources)

## Core Business
- Primary industry/industries: Artificial Intelligence consultancy, Cloud transformation (AWS), Data engineering, Machine Learning, Healthcare & Life Sciences, Financial Services
- Target customers: Enterprise (B2B), C-suite leaders, FSI and HCLS organizations
- Mission or purpose statement: “We design and build AI solutions for industry-specific use cases, leveraging our expertise in data, machine learning, and cloud. We use Computer Vision, Natural Language Processing, and Anomaly Detection technologies to empower our clients and drive innovation.” [careers.provectus.com](https://careers.provectus.com/)

## Products & Services
- **Production AI Systems**: End-to-end design, implementation, and deployment of AI systems tailored to Financial Services and Healthcare & Life Sciences. Includes pre-built pattern libraries and playbooks.
- **Agentic Executive Program**: A private, hands-on full-day immersive lab for C-suite leaders to build with AI – “No slides, no demos. You build.”
- **FSI + HCLS Blueprint Activation**: Five production-tested AI systems for FSI and HCLS that are activated on the client’s data and systems.
- **Agentic SDLC**: AI software engineering at production grade, co-delivered with Anthropic (select partner).
- **Data Platform Engineering**: Data Lakes, Data Warehouses, Data Mesh, Data Vault, database migration, Infrastructure as Code, GitOps on AWS. [careers.provectus.com/data-team](https://careers.provectus.com/data-team/)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company)
- **Key Metri**: >400 AI builders (employees) and 100+ customers in production (as of 2026)
- **Notable Investors/Partners**: AWS Premier Consulting Partner (Strategic Collaboration Agreement), Anthopic Select Partner (Inaugural Cohort)
- **Growth Signals**: 15+ yeas in market; recent expansion into Agentic SDLC with Anthropic; explicitly hiring Forward Deployed Engineers, Principal ML Engineers, Solution Architects; hybrid work model; active open source contributions.

## Competitive Advantages
- **Two-industry focus**: Domain expertise in Financial Services and Healthcare & Life Sciences, not generalist.
- **Outcome-baed pricing**: Engagements are milestone-priced (Sprint, Enable) and outcome-priced (Realize phase) – fees track delivered outcomes.
- **Full IP transfer**: No proprietary tooling, no lock-in, complete code and architecture handoff.
- **Certifications**: ISO 27001 and SOC 2 complian.
- **Open source contributions**: Active involvement in Apache Spark, Apache Kafka, Presto etc.

## Strategic Focus
- Current priorities: Scaling the Agentic SDLC offering co-delivered with Anthopic; deepening industry-specific playbooks for FSI and HCLS; expanding the Forward Deployed team model; maintaining engineering-led culture with domain experts writing code.

## Why Work Here
- **Culture highlights**: “Everyone is heard”; inclusive culture; opportunity to work on AI that impacts “entire future of humanity” (e.g., AI for curing eye diseases, safer factories). [careers.provectus.com](https://careers.provectus.com/)
- **Work model**: **Hybrid** – remote and/or office; flexible hours.
- **Perks**: Education & certification coverage, internal knowledge sharing events, excellent employee benefit programs.
- **Engineering culture**: Emphasis on builders who “wite code, review architectures, and ship systems”; contributions to open source; opportunity to work with cutting-edge technologies (AWS, GCP, Anthropic).

## Sources
1. [provectus.com](https://provectus.com/)
2. [careers.provectus.com](https://careers.provectus.com/)
3. [builtin.com](https://builtin.com/company/provectus)
4. [careers.provectus.com/data-team](https://careers.provectus.com/data-team/)

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