Offer summary

Qualifications:

8+ years of experience in building data‑intensive or ML‑driven backend systems., Proven track record of deploying business-critical models with measurable impact., Proficiency in Python and/or TypeScript in production environments., Strong understanding of distributed systems, streaming data pipelines, and ML tools, including NLP and GenAI..

Key responsibilities:

Translate broker pain points into AI capabilities in collaboration with Design & Product.

Manage the full ML lifecycle from problem framing to deployment and infrastructure setup.

Design production‑grade systems that integrate real‑time inference with human review while ensuring privacy and audit compliance.

Mentor engineering team members and help shape the engineering culture at Anzen.

Job description

Anzen was founded by former insurance and tech executives who’ve collectively scaled three unicorns. Backed by leading investors like Andreessen Horowitz (a16z) and Madrona, we’re on a mission to transform how companies choose and understand commercial insurance using AI.

Commercial insurance today runs on emails, PDFs, and lengthy underwriting cycles — often taking weeks to secure coverage. Anzen is building the world’s first AI insurance platform for brokers, radically improving how they manage submissions, select markets, and generate quotes for their clients.

Weve built a team from top universities, with experience scaling products at Google, Uber, Lyft, Oracle, and startups founded by the best investors in the world, and are continuing to scale our team in Mexico, Canada, and the United States.

You will build our core technology to ensure it can scale to hundreds of millions of dollars in insurance policies and use ML to help insurance underwriters be 510x more effective.

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 andor TypeScript in a production environment.
Startup DNA: thrive in ambiguity, bias to action.
Why Join Anzen:Come join us in reinventing the future of insurance.
Work with advanced technologies in a rapidly growing industry.
Opportunities for professional development and career advancement.
A collaborative and innovative company culture focused on excellence and integrity.
Be part of a company that values proactive risk management and cuttingedge solutions.

Company Culture:Anzen believes the world of work is fundamentally different in the new postCovid environment. We are committed to supporting a diverse and hard working team that puts in the necessary time but also desires balance between health, family, and work. We fully embrace remote work lifestyles while centering our weeks around Pacific Standard Time (PST) with a general orientation to San Francisco as the geographic HQ.