Founding Product Engineer

Essential Functions:

Platform & infrastructure (lean here if that's your strength):

• Cloud ingestion and storage — real-time event streaming, time-series and event storage, the data model for safety events and metrics.
• Multi-tenancy, identity, and access control — multiple customers, multiple sites per customer, role-based access control, authentication and SSO.
• Infrastructure and DevOps — AWS, containerized deployments, CI/CD, and monitoring across the edge and cloud stack.

Product & experience (lean here if that's your strength):

• Operations dashboard — real-time event feed, alert detail with video clips, site map, zone-violation tracking, risk summaries.
• Compliance analytics — trend reporting, time-based comparisons, exportable reports for safety and operational record-keeping.
• Operator scoring and coaching workflow — worker/operator safety scoring, coaching queue, session tracking and completion.

Shared, regardless of lean:

• Agent layer / agentic features — the orchestration layer and conversational/agentic surfaces over safety data (alert triage, auto-coaching drafts, summarization), built on managed services or internal modules where they fit.
• Rapid iteration with real customers — ship fast, instrument usage, work directly in the field, run pilots alongside live deployments.

Qualifications:

What we're looking for:

• Systems thinking — you can reason about a problem end-to-end, from device to cloud to the person using it, and make sound calls with incomplete information.
• Dynamic range — you move between an infra problem, a product/UX problem, and a customer conversation within the same week without needing to be re-anchored each time. You don't default to the one lane you're most comfortable in.
• Bias to action, full ownership — given an ambiguous problem, you scope it, build it, ship it, and measure it, without waiting to be told the next step.
• Direct customer experience — you've worked directly with customers or end users to shape what gets built, not just built to a spec handed down.

Baseline technical range:

• Full-stack comfort: a modern backend language (Go, Python, Java) and, depending on lean, either cloud infrastructure (AWS, containers, CI/CD, distributed/event-driven systems) or modern frontend (TypeScript/JavaScript) and data-dense real-time UI (dashboards, event feeds, video, timelines).
• Experience designing or working within multi-tenant systems with role-based access control.
• Fluent with AI-assisted development tools (Claude Code, Codex, Cursor) as part of your day-to-day workflow.
• 7+ years of software engineering experience. We'd rather have someone with less tenure and real range than more tenure in one narrow lane.

Nice to have:

• Agent orchestration or workflow engines (e.g. Temporal); managed identity platforms (WorkOS, Auth0, Clerk).
• Data pipelines at scale (Spark/PySpark, time-series); high-volume IoT or sensor data.
• Building or integrating AI agent features (tool use, conversational interfaces, LLM-powered surfaces) — a strong differentiator.
• Safety, operations, or compliance software experience.

Education:

• Bachelor's degree in Computer Science, Engineering, or a related technical field.