---
title: 'Technical Product Owner | GenAI Delivery (Mid-level) at Provectus'
canonical: 'https://feeny.ai/job/technical-product-owner-genai-delivery-mid-level-provectus-colombia-5s9wttgsc6an'
type: 'job'
last_seen: '2026-09-10'
---

# Technical Product Owner | GenAI Delivery (Mid-level) at Provectus

- **Company:** Provectus
- **Location:** Colombia
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-28
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.lever.co/provectus/8f30b06c-5d05-436e-a14d-5daec89c71c2

## 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:

- 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
- 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

Nice to Have:

- 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

What We Offer:

- 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

## About Provectus

## Company Overview
- **One-liner**: Provectus is a privately-owned AI consultancy and solutions provider that designs, builds, and ships production-grade AI systems for enterprise clients, with deep domain expertise in Financial Services and Healthcare & Life Sciences.
- **Entity Type**: Private (Privately owned, bootstrapped/growth funded; no public funding rounds disclosed)
- **Headquarters**: Palo Alto, California, USA
- **Founded**: 2010
- **Founders**: Founders-led (names not publicly listed on the provided sources)

## Core Business
- Primary industry/industries: Artificial Intelligence consultancy, Cloud transformation (AWS), Data engineering, Machine Learning, Healthcare & Life Sciences, Financial Services
- Target customers: Enterprise (B2B), C-suite leaders, FSI and HCLS organizations
- Mission or purpose statement: “We design and build AI solutions for industry-specific use cases, leveraging our expertise in data, machine learning, and cloud. We use Computer Vision, Natural Language Processing, and Anomaly Detection technologies to empower our clients and drive innovation.” [careers.provectus.com](https://careers.provectus.com/)

## Products & Services
- **Production AI Systems**: End-to-end design, implementation, and deployment of AI systems tailored to Financial Services and Healthcare & Life Sciences. Includes pre-built pattern libraries and playbooks.
- **Agentic Executive Program**: A private, hands-on full-day immersive lab for C-suite leaders to build with AI – “No slides, no demos. You build.”
- **FSI + HCLS Blueprint Activation**: Five production-tested AI systems for FSI and HCLS that are activated on the client’s data and systems.
- **Agentic SDLC**: AI software engineering at production grade, co-delivered with Anthropic (select partner).
- **Data Platform Engineering**: Data Lakes, Data Warehouses, Data Mesh, Data Vault, database migration, Infrastructure as Code, GitOps on AWS. [careers.provectus.com/data-team](https://careers.provectus.com/data-team/)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company)
- **Key Metri**: >400 AI builders (employees) and 100+ customers in production (as of 2026)
- **Notable Investors/Partners**: AWS Premier Consulting Partner (Strategic Collaboration Agreement), Anthopic Select Partner (Inaugural Cohort)
- **Growth Signals**: 15+ yeas in market; recent expansion into Agentic SDLC with Anthropic; explicitly hiring Forward Deployed Engineers, Principal ML Engineers, Solution Architects; hybrid work model; active open source contributions.

## Competitive Advantages
- **Two-industry focus**: Domain expertise in Financial Services and Healthcare & Life Sciences, not generalist.
- **Outcome-baed pricing**: Engagements are milestone-priced (Sprint, Enable) and outcome-priced (Realize phase) – fees track delivered outcomes.
- **Full IP transfer**: No proprietary tooling, no lock-in, complete code and architecture handoff.
- **Certifications**: ISO 27001 and SOC 2 complian.
- **Open source contributions**: Active involvement in Apache Spark, Apache Kafka, Presto etc.

## Strategic Focus
- Current priorities: Scaling the Agentic SDLC offering co-delivered with Anthopic; deepening industry-specific playbooks for FSI and HCLS; expanding the Forward Deployed team model; maintaining engineering-led culture with domain experts writing code.

## Why Work Here
- **Culture highlights**: “Everyone is heard”; inclusive culture; opportunity to work on AI that impacts “entire future of humanity” (e.g., AI for curing eye diseases, safer factories). [careers.provectus.com](https://careers.provectus.com/)
- **Work model**: **Hybrid** – remote and/or office; flexible hours.
- **Perks**: Education & certification coverage, internal knowledge sharing events, excellent employee benefit programs.
- **Engineering culture**: Emphasis on builders who “wite code, review architectures, and ship systems”; contributions to open source; opportunity to work with cutting-edge technologies (AWS, GCP, Anthropic).

## Sources
1. [provectus.com](https://provectus.com/)
2. [careers.provectus.com](https://careers.provectus.com/)
3. [builtin.com](https://builtin.com/company/provectus)
4. [careers.provectus.com/data-team](https://careers.provectus.com/data-team/)

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