Technical Product Owner | GenAI Delivery (Mid-level)

1 month, 1 week ago
Full-time
Junior
Artificial Intelligence and Machine Learning
Provectus

Provectus

Provectus provides consulting services in artificial intelligence and machine learning, assisting businesses in integrating AI solutions to meet their unique objectives and enhance their operational capabilities across various industries.

Professional Services
251-1K
Founded 2010

Description

  • Own a defined slice of a client engagement from use-case framing through backlog, release, and results.
  • Lead discovery sessions and workshops, translating stakeholder input into buildable written scope.
  • 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 on live client data using Claude, Claude Code, MCP servers, and Skills.
  • Support GenAI and agentic AI solutions, including RAG, agent workflows, and LLM integrations, while evaluating quality and trade-offs.
  • Define success metrics, report progress accurately, and identify when solutions are not working.
  • Create reusable artifacts, demos, and documentation for future engagements.
  • Collaborate with Principal Architects, Forward Deployed Engineers, and account teams across US and LATAM time zones.

Requirements

  • 2–4 years of professional experience, including hands-on software, data, or ML engineering experience.
  • At least 1 year in a product, delivery, or client-facing role such as Product Owner, Technical Product Owner, Business Analyst, or Delivery Lead.
  • Daily use of GenAI tools, preferably Claude and Claude Code, with examples of workflow automation or redesign.
  • Ability to read code and technical documentation and communicate effectively with senior engineers.
  • Practical Agile and Scrum experience with backlogs, sprints, planning, and retrospectives.
  • B2-level or higher written and spoken English, with confidence leading client calls independently.
  • Strong self-direction when working toward goals amid ambiguity.
  • Based in Colombia or Costa Rica.
  • Working knowledge of GenAI concepts such as prompt engineering, RAG, embeddings, vector databases, or agentic patterns (preferred).
  • Familiarity with AWS services including Bedrock, SageMaker, Lambda, or S3; experience shipping LLM/RAG features, building automations, consulting, or relevant certifications is preferred.

Benefits

  • Remote work with flexible hours across US and LATAM overlap.
  • Long-term B2B collaboration.
  • Access to Anthropic and AWS partnership work, early tooling access, and premium AI subscriptions.
  • Internal training and full support for AWS and Claude certifications.
  • Growth path toward Senior Solution Owner or Solutions Architecture.
  • Equipment budget and required tooling.

Interested in this position?

Apply directly on the company website

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