Technical Product Owner | GenAI Delivery (Mid-level)
The Technical Product Owner will manage client engagements by bridging the gap between business goals and engineering execution, focusing on delivering production-grade GenAI systems. The role requires a background in software or data engineering and daily proficiency with AI tools to prototype and manage backlogs.
- Compensation
- Not disclosed
- Location
- Colombia
- Work setup
- Remote
- Seniority
- Middle
- Employment
- Not specified
- Experience
- 1+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 2 to 4 years of total professional experience, including hands-on engineering time
- At least 1 year in a product, delivery, or client-facing role
- Daily use of GenAI tools in your own workflow
- Ability to read code and technical documentation
- Practical Agile and Scrum experience
- Written and spoken English at B2 or above
- Self-direction and ability to work with ambiguity
Nice to have
- Exposure to Financial Services, Insurance, Healthcare, or Life Sciences
- Understanding of GenAI concepts like prompt engineering, RAG, and vector databases
- Familiarity with AWS services like Bedrock, SageMaker, Lambda, or S3
- Experience shipping an LLM or RAG feature
- Consulting or professional services background
- Certifications such as CSPO, SAFe PO/PM, or AWS Cloud Practitioner
Full 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:
- 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
What You Will Bring:
- 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