Senior Product Owner/ Forward Deployed Executive - AI Delivery
11 days ago
Madrid
ph3About the role /h3 pProvectus is a Premier AWS partner and an Anthropic partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete. /p pWe are hiring an exceptional Senior Solution Owner to sit at the intersection of frontier AI (Claude and agentic systems) and enterprise transformation. You will own the story and the delivery for client engagements built on our offerings — packaging reusable IP into repeatable outcomes, and personally getting hands‑on in the field when it counts. You are equally comfortable framing an ROI case for a CFO, aligning a healthcare or financial‑services stakeholder on a compliant rollout, and pairing with an engineer to wire an MCP integration or ship a Claude Code harness. /p h3Domain Focus /h3 ul liDeep domain expertise in one or both of our priority verticals is a leading selection criterion. /li liFinancial Services (FSI) – e.g., office of the CFO, lending/underwriting, risk, compliance‑sensitive workflows. /li liHealthcare Life Sciences (HCLS) – e.g., revenue cycle management, clinical/operational workflows, regulated data handling. You understand the vocabulary, the buying process, the compliance constraints, and where AI creates defensible value in these industries. /li liAdjacent regulated‑industry experience (insurance, etc.) is relevant. /li liForward‑Deployed Delivery (FDE / FDX, Two‑in‑the‑Box) /li /ul h3Delivery Model /h3 pOur delivery model pairs a Forward Deployed Engineer (FDE) with a Forward Deployed eXpert (FDX) – the ‘two‑in‑the‑box’ that lands a Blueprint or program inside a client. We normally launch projects in this two‑in‑the‑box model, then extend as the engagement grows. /p h3FDX vs FDE /h3 ul liFDX – own the domain framing, product definition, rapid‑prototyping loop, stakeholder alignment, and OCM; validate use cases through user interviews and turn them into working demos. /li liFDE – get hands‑on: configure MCP integrations, build and adapt Claude Code harnesses and skills, wire data pipelines and connectors, and debug in the client environment. Comfort embedding directly with clients and Anthropic field teams, and setting the tone in the first sessions, is essential. /li /ul h3Requirements /h3 ul liExperience (priority order) /li liDeep domain expertise in FSI and/or HCLS, ideally in a client‑facing/consulting context. /li liProven ability to lead or materially contribute to a productized offering (0→1 and scale) and land it as real client delivery. /li liTrack record operating forward‑deployed / embedded with clients (FDE or FDX), including hands‑on prototyping. /li li5‑7+ years in solution/product ownership or delivery leadership; 3‑5+ years with AI/ML, GenAI, agentic systems, or data platforms. /li liStrong Agile/Scrum experience. /li liFluent English (working language). /li liAnthropic‑native technical fluency. You will operate within our AI‑native solution management framework. A hands‑on software engineering background is not strictly required – but knowledge, hands‑on experience, and proficiency in AI‑native prototyping, AI‑powered productivity, and automated workflows are a must. /li liHands‑on with Claude, Claude Code, and Cowork; building skills, workflows, and productivity tooling for yourself or your team. /li liMCP (Model Context Protocol) integrations, connectors, and custom harnesses. /li liGenAI/agentic patterns: prompt engineering, RAG, embeddings, vector DBs, agent frameworks. /li liData: ETL/ELT, data modeling, migration and governance fundamentals. /li liCloud platforms: AWS (primary); MLOps and AI observability awareness. /li liTools: Jira, Confluence, Figma, BI (Tableau/Power BI), Git. /li liCore skills: ul liDesign thinking, data‑driven decisions, strong communication and executive storytelling. /li liBias to action; thrives in ambiguity with structured problem‑solving. Engineering mindset and fluency with AI‑native development – prototypes built with Claude Code or similar are expected, not aspirational. /li /ul /li liNice to Have: ul liSecond priority vertical beyond your primary FSI/HCLS focus. /li liPrior experience in a Premier AWS or Anthropic partner environment. /li liAnthropic certification (e.g., Solutions Architect or Claude Certified track) or willingness to complete it early. /li liCertifications: CSPO, SAFe PO/PM, AWS/Azure/GCP. /li liSoftware development background. /li /ul /li /ul h3What You'll Do /h3 ul liOwn the offering story and outcomes: ul liDefine value proposition, positioning, and reusable artifacts for your offering/Blueprint; align sales and delivery. /li liBuild business cases (market fit, ROI, competitive positioning) and translate them into scoped SOWs. /li liRun market/use‑case validation, workshops, and user research; turn findings into demos and first deployments. /li /ul /li liDeliver in the field (forward‑deployed): ul liStand up Blueprints on live client data; drive rapid prototyping from use case → context → result. /li liAct as FDE or FDX in a two‑in‑the‑box team; own OCM and adoption alongside the technical build. /li liShip with the Anthropic‑native toolset: Claude, Claude Code, Cowork, MCP servers, skills, and custom harnesses. /li /ul /li liDrive agentic and AI product execution: ul liDefine solution vision and roadmap for GenAI/agentic engagements (Claude and comparable frontier models), RAG, and agentic workflows. /li liBreak complex work into incremental releases; balance delivery against technical debt and architecture. /li liLead Agile execution – backlog, sprint planning, release process. /li /ul /li liScale adoption and measure impact: ul liDefine success metrics and analytics; drive continuous improvement and root‑cause analysis. /li liSupport change management, enablement, and reusable playbooks so wins repeat across accounts. /li /ul /li /ul h3Why Join Us /h3 ul liDeliver frontier work on Anthropic's flagship enterprise motions – agentic systems, Cowork activation, and productized Blueprints – with real client impact. /li liShape how enterprises in financial services and healthcare adopt AI, from strategy to first deployment. /li liWork forward‑deployed in small, senior, two‑in‑the‑box teams with strong engineering, data, and consulting partners. /li liGrow inside a team actively building the modern AI‑delivery practice, tooling, and frameworks. /li liRemote‑friendly culture. /li liPrivate medical insurance or sports coverage. /li liPaid sick leave, vacation, and public holidays. /li liEquipment and all the tech you need for comfortable, productive work. /li /ul pWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. /p /p #J-18808-Ljbffr
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