Federato
insurance
Manager,ForwardDeployedMachineLearningEngineering
Neural analysis suggests this role is
optimal for Manager candidates.
“Manager, Forward Deployed Machine Learning Engineering at Federato. Skills: Machine Learning, Applied AI, Data Science, ML systems, LLM applications, Agentic workflows, Production monitoring, Leadership, Management. 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 cultu”
What You'll Achieve.
Deliver customer-facing AI and ML solutions from prototyping through production deployment and iteration; Drive execution in ambiguous, fast-paced environments; Align priorities, delivery expectations, and customer outcomes; Ensure projects are effectively scoped, staffed, and executed; Ensure alignment, transparency, issue resolution, and successful adoption of deployed solutions; Drive operational excellence across customer-facing ML systems; Deliver better business outcomes
Industry & Context.
First principles approach to solving problems
What They're Looking For.
Must Have
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, 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 execution and delivery discipline
Nice to Have
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
What You'll Do.
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
and career development while fostering a culture of ownership
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
and Customer Success to align priorities
delivery expectations
and customer outcomes
Translate strategic AI initiatives into actionable roadmaps
and delivery milestones
ensuring projects are effectively scoped
Establish and improve agile workflows tailored to forward-deployed AI and ML work
including sprint planning
technical design reviews
and operational follow-through
Serve as the primary coordination point across internal teams and customer stakeholders to ensure alignment
and successful adoption of deployed solutions
Drive operational excellence through communication
and incident-management practices across customer-facing ML systems
How You'll Work.
Team & Collaboration
Close cross-functional collaboration; Partner with Federato leadership across Forward Deployed Engineering, Data Science, and Customer Success; Serve as the primary coordination point across internal teams and customer stakeholders; Background working closely with Data Science, Engineering, and Customer Success organizations
Communication Scope
Excellent communication; Communication, documentation, monitoring, and incident-management practices
Process & Methodology
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, Sprint planning, Backlog grooming, Retrospectives, Operational follow-through, Coordination across internal teams and customer stakeholders, Issue resolution, Successful adoption of deployed solutions, Scaling AI/ML delivery teams, Improving operational processes across customer engagements
Full Job Description
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. What You'll Be Doing: 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.
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