We help businesses leverage cloud, data, and AI to reimagine the way they operate, compete, and deliver customer value.
Senior Product Owner - Forward Deployed Executive, AI Delivery
Location
New York
Posted
1 day ago
Salary
0
Seniority
Senior
Job Description
Senior Product Owner - Forward Deployed Executive, AI Delivery
Provectus
• Define value proposition, positioning, and reusable artifacts for your assigned Program or Blueprint, and align sales and delivery • Build business cases covering market fit, ROI, and competitive positioning, and translate them into scoped statements of work • Run market and use case validation, workshops, and user research, and turn findings into demos and first 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 with the Provectus delivery stack, including Claude Code, AWOS, MCP servers, Skills, and plugins • Define solution vision and roadmap for GenAI and agentic engagements, RAG, and agentic workflows • Break complex work into incremental releases and balance delivery against technical debt and architecture • Lead Agile execution across backlog, sprint planning, and release process, following a Sprint, Enable, Realize engagement model • Contribute to the measurement framework behind our board level AI Maturity Index, ROI signal, and cost read • Define success metrics and analytics, and drive continuous improvement through root cause analysis • Support change management, enablement, and reusable playbooks so wins repeat across accounts
Job Requirements
- Deep domain expertise in Financial Services and Insurance and/or Healthcare and Life Sciences, ideally in a client facing or consulting context
- Proven ability to lead or materially contribute to a Provectus Program or Blueprint from zero to one and scale, landing it as real client delivery
- Track record operating forward deployed or embedded with clients, as either a Forward Deployed Engineer or Forward Deployed Expert, including hands on prototyping
- 5 to 7+ years in solution or product ownership or delivery leadership
- 3 to 5+ years with AI/ML, GenAI, agentic systems, or data platforms
- Strong Agile/Scrum experience and familiarity with outcome based, milestone priced engagements
- Working knowledge of Claude, Claude Code, and Cowork, including building skills, workflows, and productivity tooling
- Comfort with MCP integrations, connectors, and custom harnesses
- Understanding of GenAI and agentic patterns, including prompt engineering, RAG, embeddings, vector databases, and agent frameworks, well enough to assess quality and translate to client stakeholders
- Data fundamentals, including what ETL/ELT, data modeling, and governance mean in an enterprise context
- Familiarity with AWS as a primary cloud platform, and what MLOps and AI observability involve
- Strong design thinking, data driven decision making, and executive storytelling
- Bias to action and comfort operating with structured problem solving in ambiguity
- Enough engineering empathy to earn credibility with senior engineers and architects on day one
- Fluent English
Benefits
- 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
- Remote friendly culture
Related Guides
Related Categories
Related Job Pages
More Product Manager Jobs
• Own discovery. Run the company's continuous voice-of-customer function and synthesize customer insights to drive our roadmap. • Define, prioritize, and launch new features that expand the scope of design activities automated by ACP. • Own specification. Supply what strong engineering teams need most: customer intent, precise requirements, acceptance criteria, and tradeoff decisions. • Set the pace. You'll champion a culture where speed of delivery is a core value. • Keep the company aligned. Customer support, sales, marketing and training teams always know what's shipped, what's committed, and what's future scope. • Measure what matters. Define and report the metrics that tell us whether the product works.
• Own the acquisition product roadmap • Define and execute PandaDoc's top-of-funnel product strategy, from freemium entry points to AI-native discovery surfaces • Own the roadmap for acquisition-related product surfaces: From MCPs and skills to sharing mechanics and new entry points • Partner with engineering, design, and data to ship product changes that move acquisition metrics • Build acquisition loops, not just features • Design growth systems that compound: product loops, integrations, template distribution, sharing mechanics, and workflow ecosystems • Identify ways PandaDoc naturally spreads through collaboration, workflows, and document sharing • Turn user behavior and product capabilities into scalable acquisition engines • Explore and validate new distribution surfaces • Develop product strategy for emerging acquisition channels including generative search (GEO), AI discovery surfaces, MCP servers, agent marketplaces, and ecosystem integrations • Identify new ways PandaDoc can be surfaced, recommended, and activated within AI workflows and automation ecosystems • Run scoped product experiments to validate new distribution mechanics before committing to full builds • Drive a high-velocity experimentation practice • Maintain a rigorous experimentation roadmap for acquisition loops and onboarding entry points • Define hypotheses, instrument experiments, analyze results, and translate learnings into product decisions • Balance quick experiments with longer-horizon product investments • Use data to drive decisions • Own the acquisition funnel metrics: traffic, signups, activation, and channel-level conversion • Work with analytics to build clear measurement frameworks for new acquisition initiatives • Identify the leading indicators that predict sustainable growth • Partner across the company • Work closely with engineering, design, marketing, and GTM to execute acquisition initiatives • Align leadership around evolving acquisition strategies and emerging opportunities • Represent the acquisition roadmap in planning processes and to executive stakeholders
• Own the acquisition product roadmap. • Define and execute PandaDoc's top-of-funnel product strategy, from freemium entry points to AI-native discovery surfaces. • Own the roadmap for acquisition-related product surfaces: From MCPs and skills to sharing mechanics and new entry points. • Partner with engineering, design, and data to ship product changes that move acquisition metrics. • Design growth systems that compound: product loops, integrations, template distribution, sharing mechanics, and workflow ecosystems. • Identify ways PandaDoc naturally spreads through collaboration, workflows, and document sharing. • Turn user behavior and product capabilities into scalable acquisition engines. • Develop product strategy for emerging acquisition channels including generative search (GEO), AI discovery surfaces, MCP servers, agent marketplaces, and ecosystem integrations. • Identify new ways PandaDoc can be surfaced, recommended, and activated within AI workflows and automation ecosystems. • Run scoped product experiments to validate new distribution mechanics before committing to full builds. • Maintain a rigorous experimentation roadmap for acquisition loops and onboarding entry points. • Define hypotheses, instrument experiments, analyze results, and translate learnings into product decisions. • Balance quick experiments with longer-horizon product investments. • Own the acquisition funnel metrics: traffic, signups, activation, and channel-level conversion. • Work with analytics to build clear measurement frameworks for new acquisition initiatives. • Identify the leading indicators that predict sustainable growth. • Work closely with engineering, design, marketing, and GTM to execute acquisition initiatives. • Align leadership around evolving acquisition strategies and emerging opportunities. • Represent the acquisition roadmap in planning processes and to executive stakeholders.
• Own the product strategy and roadmap for the agentic AI experience • Drive continuous improvement of AI agent performance • Partner with engineering, data science, and clinical stakeholders to translate needs into product requirements • Collaborate with the BIH human-in-the-loop team to ensure seamless handoff between AI-led and human-led workflows • Lead, coach, and develop a Product Manager and Product Owner



