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Понятная зона ответственности за важную AI-платформу в растущем финтех-стартапе сочетается с широким охватом задач и прямо заявленной высокой нагрузкой.
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Высокий темпШирокая зона задачAI-платформаПризнаки ростаТолько офис
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Текст:
Hirify AI/Оригинал
TL;DR
Lead Product Manager (AI): Building Pylon’s internal and external agent platform for automating mortgage origination with an accent on orchestration, retrieval, evaluations, APIs, MCP servers, permissions, and regulatory safeguards. Focus on shipping production LLM agents, designing traceable and explainable workflows, and scaling developer infrastructure for internal teams and enterprise customers.
Location: On-site in New York City or Palo Alto, United States. Must live in or be willing to relocate to Palo Alto, CA or New York City.
Company
hirify.global is building a vertically integrated mortgage platform that turns mortgage origination into a single API and provides infrastructure for agents.
What you will do
Set the direction and roadmap for hirify.global’s internal and external Agent Platform.
Own platform capabilities including tools, orchestration, context and memory, retrieval, evaluations, observability, and guardrails.
Enable internal teams to build, test, ship, and monitor production agents using shared patterns, datasets, benchmarks, and regression checks.
Define how external agents integrate with hirify.global through MCP servers, APIs, scoped permissions, rate limits, and documentation.
Ensure agent actions are traceable and explainable, with appropriate human review for regulated decisions.
Make build-or-buy decisions for models, vector databases, frameworks, and vendors while managing cost, latency, and quality; support customers and help grow the team.
Requirements
4+ years of product management experience.
Experience owning and scaling a developer platform, infrastructure product, or API used by multiple teams or external customers.
Production experience shipping LLM-based agents or agent tooling, including tool use, MCP, multi-agent orchestration, and structured outputs.
Strong knowledge of evaluations, including golden datasets, LLM-as-judge, regression testing, and connecting model quality to business results.
Understanding of retrieval, including RAG, embeddings, vector databases, chunking, hybrid search, and reranking.
Understanding of prompt and context engineering, model selection, fine-tuning, and their effects on cost, latency, and accuracy.
Familiarity with tracing, guardrails, prompt injection, and protecting sensitive borrower PII.
Ability to write and ship code in a production codebase, build prototypes, and discuss architecture with engineers; ability to write SQL and define platform and agent metrics.
Experience building 0-to-1 enterprise software in a regulated industry.
Ability to develop deep mortgage expertise over time and collaborate effectively with internal teams, customer engineers, vendors, GTM, and Account Management.
Nice to have
Engineering background.
Mortgage or fintech infrastructure experience.
Experience with document understanding, including OCR, extraction, or classification.
Culture & Benefits
High-agency environment focused on ownership, rapid execution, strong opinions, and measurable outcomes.
Direct, rigorous decision-making with an expectation to defend positions and change course when evidence warrants it.
Work in a heavily regulated mortgage market with compliance and explainability treated as core product requirements.
Strong emphasis on automation, customer outcomes, and replacing manual backend mortgage work with software.
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