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Benepass is a Series B fintech platform that helps companies design and administer customizable employee benefits. The company has raised ~$75M and is backed by leading investors including Workday Ventures and Threshold Ventures.
You will build Benepass's internal AI platform from the ground up, starting with the engineering SDLC and scaling to company-wide automation and agentic systems. This is a Staff-level individual contributor role in Platform Engineering, owning the AI systems roadmap and architecture while selectively embedding with teams to drive adoption.
Key responsibilities include:
**Platform Architecture & Strategy**: Design and implement a shared internal AI platform engineered for company-wide leverage. Define architecture for how models, tools, context, evaluations, secrets, and permissions compose safely. Build reusable primitives including agents, tool interfaces, retrieval/context layers, workflow runners, observability, and feedback loops. Establish foundations for reliable environments, secure access to internal systems and data, and patterns that new domains can adopt.
**Engineering SDLC Acceleration**: Drive AI-assisted coding, review, and delivery workflows that compress time from idea to production. Integrate AI into CI/CD pipelines so quality signals, summaries, risk checks, and developer feedback appear where engineers already work. Identify and remove SDLC bottlenecks (local dev, code review, test wait time, release friction, knowledge gaps) with automation. Measure impact on PR/cycle time, adoption, developer satisfaction, test speed, and knowledge findability.
**Quality & Testing**: Own the strategy for AI-driven test generation, maintenance, and automation, especially for end-to-end coverage. Build systems that help engineers own quality through high-signal E2E coverage, faster feedback, lower flakiness, and less manual validation. Partner with Platform and product teams to integrate intelligent quality gates into CI/CD and deployment workflows. Use AI to improve regression detection, failure triage, and the requirements-to-execution loop.
This is a force-multiplier role requiring full-stack AI systems expertise, strong platform and developer-tools instincts, and infrastructure knowledge. You'll build AI-powered guardrails and accelerators that let Benepass move faster with higher confidence and less toil—first in Engineering, then across Operations, Product, Design, Support, and other internal workflows.
