Own product management for SaaS and software projects, using metrics and stakeholder collaboration to guide decisions, prioritize support issues, define requirements, and deliver successful products.
Technical Product Owner | GenAI Delivery (Mid-level)
π Description
- Own a defined slice of a client engagement, from use case framing through backlog, release, and result
- Run discovery sessions and workshops with client stakeholders, and turn what you hear into written scope engineers can build against
- Translate technical constraints into business language, and business goals into technical requirements
- Maintain a groomed backlog with sized, technically specific stories, and drive sprint planning and release cadence
- Prototype rapidly on live client data using our delivery stack, including Claude, Claude Code, MCP servers, and Skills
- Define success metrics for your slice of scope and report progress honestly, including when something is not working
π οΈ Requirements
- Exposure to Financial Services and Insurance or Healthcare and Life Sciences clients
- Working understanding of GenAI concepts: prompt engineering, RAG, embeddings, vector databases, agentic patterns
- Familiarity with AWS, especially Bedrock, SageMaker, Lambda, or S3
- Experience shipping an LLM or RAG feature that reached real users
- Experience building your own automations, scripts, MCP integrations, or internal tools
- Consulting or professional services background
- Certifications such as CSPO, SAFe PO/PM, or AWS Cloud Practitioner
β¨ Benefits
- Real client delivery on frontier AI from month one, not shadowing
- Direct access to Principal Architects and Forward Deployed Engineers as your working peers
- Anthropic and AWS partnership work, with early access to tooling and premium AI subscriptions
- Internal training programs and full support for AWS and Claude certifications
- A clear growth path toward Senior Solution Owner or Solutions Architecture
- Remote work with flexible hours across US and LATAM overlap
- Long term B2B collaboration
- Equipment budget and all the tooling you need
Full job description
Provectus is a Premier AWS Partner and an Anthropic partner, featured in Forrester's AI Technical Services Landscape. We are roughly 420 engineers building production AI for enterprise clients in Financial Services, Healthcare and Life Sciences, Retail, and Entertainment. We build custom systems on live client data, not off the shelf products and not demos.
We are opening a Solution Owner seat on our Delivery team in Colombia and Costa Rica. This is an early career seat, but it is not a training seat. You will sit between the client and the engineering team on a real engagement, own a slice of scope, and be expected to figure out the next step yourself.
The profile we are looking for is specific: you started technical, as a software, data, or ML engineer, and you have already moved toward the business side of building products, or you are ready to make that move now. You are the person on the team who automates their own work with AI tools before anyone asks.
What You Will Do:
What You Will Bring:
Nice to Have:
What We Offer:
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