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Platform Tech Lead / Agent Architect

Softgic

Role overview

Qualifications

  • Enterprise B2B product ownership experience.
  • Ability to write crisp, testable acceptance criteria.
  • Comfort with technical platform products and AI/agent behavior specification.
  • Strong stakeholder management and prioritization judgment.

Responsibilities

  • Own the backlog, acceptance criteria, and tradeoffs for each phase.
  • Maintain the 'manual now vs automate later' decision log.
  • Define measurable quality for probabilistic agent behavior in partnership with the Tech Lead and Agent Quality / Evals Engineer.
  • Hold scope discipline after each gate and prevent phase leakage.

Key facts

Hard skills

Acceptance Test Procedures AI Testing Backlogs Quality Assessment

About the company

Softgic logo

Softgic

IT Services & IT Consulting

We are a young and growing company, with operations in Medellin and Bogota, focused on the generation of technological solutions in synergy with our customers and our team so that these solutions add value within their organizations and their business processes.

Company details

IndustryIT Services & IT Consulting
Company size51 - 200

Links

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Job description

This is a remote position.

Role Summary: Owns scope, acceptance criteria, stakeholder alignment, and the explicit MVP requirement cut. This role translates the PRD and PDD into a realistic sequence of shippable work.

Key Responsibilities:
• Own the backlog, acceptance criteria, and tradeoffs for each phase.
• Maintain the “manual now vs automate later” decision log.
• Define measurable quality for probabilistic agent behavior in partnership with the Tech Lead and Agent Quality / Evals Engineer.
• Hold scope discipline after each gate and prevent phase leakage.
• Coordinate SME availability, design-partner input, and executive expectations.

Requirements

Must-Have Qualifications:
• Enterprise B2B product ownership experience.
• Ability to write crisp, testable acceptance criteria.
• Comfort with technical platform products and AI/agent behavior specification.
• Strong stakeholder management and prioritization judgment.
AI-First Expectations:
• Uses AI for research synthesis, backlog drafting, dependency framing, and requirements drafting.
• Can specify quality in eval-backed terms rather than relying on subjective acceptance.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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