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AI Product manager

AI Product manager

Trucker Path Insurance IncPhoenix, AZ, US
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Job Description

Job Description

Description :

We’re seeking a hands-on AI Product Engineer to design, build, and operate AI agents that

act like service teammates—fulfilling customer requests, answering training / knowledge

questions, and automating back-office workflows end to end. This role blends product

thinking, workflow / orchestration design, and engineering execution. You’ll own the full

lifecycle : discovery with stakeholders, scoping, architecture, development (n8n, browser

automation, and custom code), deployment, monitoring, and continuous improvement.

You’ll also make the necessary architecture changes in our codebase so these agents

integrate cleanly with our systems, data, and processes.

Responsibilities :

  • Own the end-to-end development of production AI agents that serve customers and

internal teams (requirements ? design ? build ? test ? launch ? monitor ? iterate).

  • Design and implement orchestrations in n8n (custom nodes where needed),

    • integrating LLMs, tools / functions, webhooks, queues, and databases.

  • Build reliable browser automations (e.g., Playwright / Puppeteer) for portals and

    • partner systems; ensure resilience (selectors, retries, idempotency, fallbacks, error

    handling).

  • Write and maintain custom services (TypeScript / Node or Python) that expose stable

    • APIs for agents; implement eventing, job runners, and observability.

  • Integrate agents with core systems (e.g., AMS like Applied / EPIC, billing like Ascend,

    • CRM, quoting / bind / binder / cert flows, compliance / licensing, FMCSA / MCP

    workflows).

  • Stand up agent knowledge : ingest SOPs and training materials; build retrieval

    • pipelines (embeddings, vector stores), prompt libraries, and evaluation harnesses.

  • Establish guardrails and governance (PII handling, audit trails, role- and contextscoped tools, rate limiting, safe tool invocation).
  • Define reliability / SLA targets and deploy monitoring / alerting, analytics, and cost

    • telemetry (latency, success rate, token / usage cost).

  • Partner with Operations, Sales, Service, and Compliance to map processes,

    • quantify ROI, and turn manual steps into agent capabilities with measurable

    outcomes.

  • Drive architectural changes in our codebase to be “agent-cooperative” (clear

    • domain APIs, deterministic side effects, idempotent operations, robust

    permissions).

  • Ship fast with quality : write tests, codify runbooks / SOPs, document workflows, and

    • enable handoffs to operations.

  • Measure and improve agent performance via A / B tests, offline evals, user feedback

    • loops, and error triage.

  • Contribute to vendor / tooling strategy across LLM providers, vector stores,

    • telemetry, and workflow platforms

    Requirements : Qualifications :

  • 5+ years in software engineering (TypeScript / Node or Python), including shipping

    • production services and integrations; 1–2+ years building with LLMs and / or

    workflow automation.

  • Proficiency with n8n (or similar like Zapier / Make) including custom node

    • development and complex, stateful orchestrations.

  • Experience with headless browser automation (Playwright / Puppeteer) and building

    • resilient, observable automations.

  • Practical knowledge of LLM orchestration (tool / function calling, JSON schemas),

    • retrieval (embeddings / vector DBs such as pgvector / Pinecone), and

    prompt / knowledge design.

  • Strong integration skills with SaaS and partner APIs (auth / OAuth, webhooks,

    • pagination, rate limits); familiarity with queues (e.g., SQS / RabbitMQ) and relational

    DBs (e.g., Postgres).

  • Solid engineering practices : testing, CI / CD, telemetry, incident response, and

    • secure secrets / config management.

  • Product mindset : ability to scope MVPs, write crisp requirements, quantify impact,

    • and iterate quickly with stakeholders.

  • Excellent communication and project management; comfortable bridging technical

    • and non-technical teams.

  • Nice to have : insurance / insurtech domain knowledge; experience with

    • Applied / EPIC, Ascend, carrier / portal workflows, and compliance / licensing

    processes

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    Product Manager Ai • Phoenix, AZ, US