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Product Manager

Roles & Responsibilities

  • 4+ years of experience as a Product Manager leading digital products end-to-end
  • 2+ years managing AI-first products in production environments
  • Proven track record shipping real products (beyond prototypes or POCs)
  • Hands-on experience with Claude (advanced prompting, system prompts, context management)

Requirements:

  • Own AI-first digital products end-to-end, from discovery through delivery and optimization
  • Lead the design, shipping, and iteration of products powered by large language models and AI agents, collaborating with engineering, data, and AI teams
  • Translate technical constraints and trade-offs into clear product decisions and roadmaps with strong prioritization under uncertainty
  • Validate product decisions with a data-driven approach, measuring impact and iterating accordingly

Job description

This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone.


Role Intent

We are looking for a Product Manager to lead AI-first products in production.

This role owns digital products end-to-end, with a strong focus on AI agents and LLM-based systems.

You will work closely with engineering, data, and AI teams to design, ship, and iterate products powered by large language models.

Experience Required

  • 4+ years of experience as a Product Manager leading digital products end-to-end

  • 2+ years managing AI-first products in production environments

  • Proven track record shipping real products (beyond prototypes or POCs)

Technical Requirements (Must Have)

  • Strong experience designing and managing AI agents (multi-step, tool-using agents)

  • Hands-on experience with Claude (advanced prompting, system prompts, context management)

  • Solid understanding of LLM fundamentals: tokens, context windows, latency, cost trade-offs

  • Experience integrating AI/LLMs with APIs, internal tools, and existing systems

  • Ability to translate technical constraints into clear product decisions and roadmaps

Product Capabilities

  • Ownership mindset across discovery, delivery, iteration, and optimization

  • Strong prioritization and decision-making under uncertainty

  • Experience working closely with engineering, data, and AI teams

  • Data-driven approach to product validation and iteration

Nice to Have

  • Experience with other LLMs (OpenAI, Gemini, open-source models)

  • Background in agent orchestration, automation platforms, or workflow tools

  • Familiarity with AI product risks (hallucinations, reliability, evaluation)

Application Process:

To be considered for this role these steps need to be followed:

  • Fill in the application form

  • Record a video showcasing your skill sets

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