Technical Product Owner | GenAI Delivery (Mid-level)

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.

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

Work alongside GenAI and agentic AI builds, including RAG, agent workflows, and LLM integrations, closely enough to judge quality and explain trade offs

Define success metrics for your slice of scope and report progress honestly, including when something is not working

Build reusable artifacts, demos, and documentation so the next engagement starts faster than yours did

Partner with Principal Architects, Forward Deployed Engineers, and account teams across US and LATAM time zones

2 to 4 years of total professional experience, including hands on engineering time as a software, data, or ML engineer

At least 1 year in a product, delivery, or client facing role such as Product Owner, Technical Product Owner, Business Analyst, Delivery Lead, or equivalent

Daily use of GenAI tools in your own workflow, Claude and Claude Code preferred, with concrete examples of workflows you redesigned

Ability to read code and technical documentation well enough to hold a real conversation with senior engineers

Practical Agile and Scrum experience: backlog, sprints, planning, retrospectives

Written and spoken English at B2 or above, comfortable leading a client call without a manager in the room

Self direction as a default. You are given a goal and ambiguity, not a task list, and you move anyway

Based in Colombia or Costa Rica

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

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

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