Jobs · Marketing · New York

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

Provectus · New York, United States · 4 wk ago
HybridMarketing$140k–$180k/yrFull-time
We need to output HTML fragment with sections: About the role? The posting includes description paragraphs. We need to use

for section headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to include sections only when there is real specific content. We need to preserve all substantive info, not invent or summarize away detail. Remove boilerplate like cookie/navigation/legal/EEO etc. The posting includes some lines about AI tools used in hiring; that's boilerplate? It's about hiring process; likely considered boilerplate to remove. Also "We may use artificial intelligence..." is likely boilerplate; remove. Also "Provectus is a Premier AWS Partner..." is about company; could be part of About the role? Probably we can put that in an "About the role" section. The "What You Will Do:" is responsibilities. "What You Will Bring:" is requirements/qualifications. "Nice To Have:" could be skills or qualifications? Could be separate "Preferred Qualifications" but we only have set headings; we could put under Requirements or Qualifications. "What We Offer:" includes benefits, pay, etc. So we need sections: About the role (company overview and role description?), Responsibilities (What You Will Do), Requirements (What You Will Bring), Skills (maybe Nice To Have?), Benefits (What We Offer includes health, dental, vision, 401k, unlimited PTO, access to AI tools, training, hybrid work). Pay: base salary range $140k-$180k. Schedule: maybe hybrid work? Could be schedule? The posting mentions hybrid work in San Francisco or New York. That's schedule/location. Could be under Schedule. We'll include Pay and Schedule sections if content exists. We must not repeat job title as heading. No Job ID. We must not include filler like "commensurate with experience". Not present. We need to use
  • for any list of duties/requirements/benefits. So for responsibilities list, each bullet as
  • . For requirements list, each bullet as
  • . For benefits list, each bullet as
  • . For skills list (Nice To Have) maybe as
      . We need to use

      for prose paragraphs. We must preserve all substantive information; do not invent or summarize away detail. So we need to keep all details from each bullet. Let's extract content. Company 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." That's about the role/company. Then "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." This could be part of responsibilities. Then "What You Will Do:" list: - 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 That's responsibilities. "What You Will Bring:" list: - 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 That's requirements/qualifications. "Nice To Have:" list: - 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 That's skills or preferred qualifications. "What We Offer:" list: - 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 We need to separate Pay and Benefits and Schedule. Pay: base salary range. Benefits: health, dental, vision, 401k, unlimited PTO, access to latest AI tools, internal training programs. Schedule: hybrid work in SF or NY. Also maybe frontier delivery work etc could be part of About the role or Responsibilities? But we already have responsibilities list; we could keep those as responsibilities. The "Frontier delivery work..." could be part of Benefits? It's more about the work; maybe we can put under About the role? But we already have About the role with company description. Could add a bullet about the nature of work? However we must not invent or summarize away detail; we need to preserve all substantive info. So we need to include that bullet somewhere. It could be under Benefits? It's not a benefit per se but a description of work. Could be under Responsibilities? It's not a duty. Could be under About the role as part of role description. Let's treat it as part of About the role (role description). Similarly "The chance to shape how leading enterprises adopt AI..." also could be About the role. "A forward deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers" also About the role. "A growing AI delivery practice where you help build the tooling and frameworks, not just use them" also About the role. Thus About the role section will contain prose paragraphs: company description, plus those bullets maybe as

        or

        . We'll use

        for prose; but we can also use

          for lists if they are list items. The instructions: Use
          • for any list of duties/requirements/benefits, and

            for prose. So for About the role, if we have a list of items that are not duties/requirements/benefits, we could still use

              but it's not mandated. Safer to use

              for prose and maybe combine into paragraphs. We need to avoid filler. All content is substantive. We'll produce HTML:

              About the role

              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.

              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.

              • 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
              Then Responsibilities:

              Responsibilities

              • 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

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