About The Position

Federato is on a mission to defend the right to efficient, equitable insurance for all. We enable insurers to provide affordable coverage to people and organizations facing the issues of today - the climate crisis, cyber-attacks, social inflation, etc. Our vision is understood and well funded by those behind Salesforce, Veeva, Zoom, Box, etc. Federato is the only AI-native platform that spans the full policy lifecycle and changes the way insurance work gets done. Better decisioning is built-in, not bolted on: insurers' unique portfolio goals, strategies, rules, and appetite are part of the workflow so underwriters win the right deals, faster. From the moment a submission hits an underwriter’s inbox, AI is put to work, triaging submissions with a focus on high-appetite business, delivering real-time feedback on the portfolio, and consolidating workflows into a single proven system. Federato drives better business outcomes.

Requirements

  • 5+ years of experience in machine learning, applied AI, data science, or related technical fields.
  • 2+ years of experience leading or managing technical contributors and cross-functional delivery efforts.
  • Experience deploying and operating ML or AI systems in production, including customer-facing or operational environments.
  • Strong understanding of ML systems, LLM applications, agentic workflows, evaluation frameworks, and production monitoring best practices.
  • Experience working in fast-paced environments with evolving requirements and multiple concurrent workstreams.
  • Excellent communication, organizational, and stakeholder management skills.
  • Ability to balance technical depth with strong execution and delivery discipline.

Nice To Haves

  • Experience leading customer-facing or forward-deployed AI/ML teams.
  • Background working closely with Data Science, Engineering, and Customer Success organizations.
  • Experience deploying LLM-powered systems, agentic workflows, or automation platforms in production environments.
  • Experience scaling AI/ML delivery teams and improving operational processes across customer engagements.

Responsibilities

  • Lead and manage a team of Forward-Deployed Machine Learning Engineers (FDMLEs) delivering customer-facing AI and ML solutions from prototyping through production deployment and iteration.
  • Support team growth through coaching, mentorship, and career development while fostering a strong culture of ownership, customer focus, and operational excellence.
  • Drive execution in ambiguous, fast-paced environments by enabling rapid experimentation, iterative development, and close cross-functional collaboration.
  • Partner with Federato leadership across Forward Deployed Engineering, Data Science, and Customer Success to align priorities, delivery expectations, and customer outcomes.
  • Translate strategic AI initiatives into actionable roadmaps, priorities, and delivery milestones, ensuring projects are effectively scoped, staffed, and executed.
  • Establish and improve agile workflows tailored to forward-deployed AI and ML work, including sprint planning, technical design reviews, backlog grooming, retrospectives, and operational follow-through.
  • Serve as the primary coordination point across internal teams and customer stakeholders to ensure alignment, transparency, issue resolution, and successful adoption of deployed solutions.
  • Drive operational excellence through strong communication, documentation, monitoring, and incident-management practices across customer-facing ML systems.

Benefits

  • stock options
  • benefits
  • additional perks
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