Responsibilities
- Partner with Design & Product to translate fuzzy broker pain points into concrete, AI capabilities that perform equally or better than human experts.
- Own the full ML lifecycle from framing business problems into research problems, evaluating results and rolling them out with the appropriate infrastructure.
- Architect production‑grade systems that marry real‑time inference with human‑in‑the‑loop review and comply with strict privacy & audit requirements.
- Elevate engineering quality, driving technical roadmaps and championing best practices
- Mentor our Engineering team and help define Engineering culture at Anzen.
What we’re looking for
- 8+ years building data‑intensive or ML‑driven backend systems
- Production mindset: you’ve shipped business critical models with measurable business impact (latency, cost, ROI).
- Broad ML toolbox, from classic ML (especially NLP) to GenAI
- Strong backend fundamentals: distributed systems, streaming data pipelines
- Fluency in Python and/or TypeScript in a production environment.
- Startup DNA: thrive in ambiguity, bias to action.
Top Skills
What We Do
Anzen was founded to keep companies safe as they grow and manage their employees.
We are a leading provider of executive risk insurance, combining comprehensive insurance and proactive tools to help businesses identify and mitigate management risk. Anzen’s unique product offerings combine best-in-class D&O, Employment Practices, and Fiduciary insurance, integrations with core HR and finance systems, and proactive people operations tools to help keep businesses productive and safe.
Anzen is made up of insurance and tech executives who have collectively spent decades designing, buying, and distributing executive risk insurance and building technology businesses.
We are backed by the worlds leading investors and over 30 founders and business owners across the U.S.
