Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Это узкоспециализированная и передовая роль для технического продакт-менеджера, сочетающая стратегию продукта с практической разработкой в быстрорастущей сфере AI-агентов.
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Передовой стекТехнический PMТрендовый домен
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Product Manager (AI & Agents): Building agentic products and harnesses for embedded payments platforms with an accent on tool use, memory, evaluations, and multi-model orchestration. Focus on designing regression testing and telemetry, tuning prompts and knowledge bases, selecting and routing LLMs, and enabling MCP and agent-to-agent communication.
Location: Atlanta HQ, United States; hybrid work
Company
hirify.global is an early-stage payments-as-a-service fintech startup providing embedded payments for vertically focused SaaS platforms serving small and mid-sized businesses.
What you will do
Own the product direction for the agent harness, including its knowledge, skills, tools, and supporting architecture.
Define and build evaluations, regression testing, and telemetry to maintain agent accuracy as models and prompts change.
Tune agent behavior across prompts, knowledge bases, and skills in partnership with engineering.
Drive model selection and routing across multiple LLMs while balancing capability, latency, and cost.
Design interoperability between clients’ agents and hirify.global through MCP and agent-to-agent communication.
Make product changes with AI coding tools, review and ship code with engineers, support company-wide adoption of agentic workflows, and represent the products externally.
Requirements
Hands-on experience building agentic products or agent harnesses, including tool use, memory, prompt assembly, and evaluation.
Deep, current knowledge of frontier and open-weight LLMs and their strengths across different tasks.
Daily fluency with AI coding tools and comfort making real code changes.
Experience building evaluations or regression suites for LLM-based systems.
Familiarity with MCP, agent-to-agent protocols, embeddings, and multi-model architectures.
Strong technical background from product, engineering, or an adjacent role.
Exceptional written and verbal communication, including the ability to explain complex systems to technical and non-technical audiences.
Comfort with ambiguity and a high degree of autonomy in a fast-moving startup.
Nice to have
Experience in payments or fintech.
Culture & Benefits
Comprehensive health benefits package.
Unlimited paid time off.
Paid parental leave.
Flexible working environment with ongoing investment in people and culture.
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