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Benefits offered by this job
An open and inclusive culture
Weekly lunch stipend and snacks
Full health and dental benefits
100% Parental Leave top-up
Personal enrichment benefits
Remote-flexible work model
6 weeks of vacation
Job summary
A pioneering AI company is looking for an Agent Harness Product Manager to oversee the North platform's execution layer. This role is essential for ensuring agents are reliable and production-ready, managing the roadmap, and acting as the liaison between engineering and product teams. Candidates should possess significant experience in product management of AI systems, a deep understanding of LLM architectures, and the technical acumen for architecture decisions. The position supports hybrid work and provides numerous benefits.
Qualifications
5+ years of product management experience in agentic AI systems or applied ML products.
Deep understanding of modern LLM architectures like multi-agent systems.
Strong grasp of evaluation design for measuring agents' reliability and performance.
Technically capable to contribute to architecture decisions at the implementation level.
Ability to navigate both ML research and engineering discussions fluently.
Proven track record of shipping impactful platform-layer products.
Responsibilities
Define and own the roadmap for North’s agent harness.
Serve as the primary interface between engineering and the Modeling team.
Own the agentic evaluation framework to ensure compatibility.
Engage enterprise customers to gather real-world feedback.
Stay current with the agent ecosystem to align architectural decisions.
Skills
Product management experience
Understanding of LLM agent architectures
Knowledge of agentic evaluation design
Technical architecture decision-making
Ability to engage in ML research and engineering discussions
Experience shipping platform-layer products
Job description
A pioneering AI company is looking for an Agent Harness Product Manager to oversee the North platform's execution layer. This role is essential for ensuring agents are reliable and production-ready, managing the roadmap, and acting as the liaison between engineering and product teams. Candidates should possess significant experience in product management of AI systems, a deep understanding of LLM architectures, and the technical acumen for architecture decisions. The position supports hybrid work and provides numerous benefits.