AI Engineer

At Comulate, we’re transforming the insurance back office with AI. Our platform, which reinvents expensive and time-consuming accounting processes, is the first step in our vision to unlock the hundreds of billions of dollars spent on manual insurance operations.

Our Series B, announced in early 2025, led by BOND & Workday, comes on the heels of record growth and accelerating expansion plans.

• Record-setting growth, having gone from zero to 8-figure ARR within three years of founding, representing 95th+ percentile company growth among startups that achieve these milestones

• Strong product market fit revealed in growth and through customer love, with users describing the platform as “the best thing since sliced bread” and "life-changing"

• Our lean, talented team is creating category-defining products for large public and private enterprises, driving 7-figure ROI and cash-flow positive operations, providing the best of both worlds: outsized employee ownership and low company risk

• We're continuing to take big, ambitious first-to-market bets for a highly committed customer base and an exciting pipeline of new customers

• We’re in the early innings of our vision and poised to take advantage of the massive opportunity to deploy AI into core workflows throughout the insurance industry

Insurance is buried in unstructured data across documents, emails, and disparate systems. LLMs have turned this into an opportunity. We’re hiring an AI Engineer to seize it by building game-changing products.

• 4+ years of experience in data science or ML/data/software engineering

• Understanding of LLM best practices across evals, RAG, fine-tuning, and observability

• Familiarity with AI frameworks (e.g. LangChain, LlamaIndex, or similar)

• Experience releasing and maintaining production systems

• Proficiency with SQL and relational databases

• Comfortable with handling ambiguity and working in a self-directed manner

• Curiosity about different industries and the data + business context within them

• Copilot agent to augment + automate natural language-based workflows

• System to extract structured data from millions of complex, varied documents (see our early work on this here)

• Leveraging the latest advancements in browser agents to generically automate repetitive tasks for users

For more details, see this article encapsulating the role of an AI engineer.

We’re backed by BOND, Spark Capital, Neo, and Workday, as well as founders/executives from Brex, Asana, Plaid, Applied Intuition, Coalition, and more.

Our team hails from companies like Airbnb, Google, Brex, and LiveRamp and we’re fairly low-profile: focusing the majority of our energy on delivering for customers and building a category-defining company.

We’re hiring predominantly in San Francisco 🌁, as we believe in-person collaboration is strategically important for a company at our stage — both for velocity and company culture.