Founding Member of Technical Staff
About the role
Founding Member of Technical Staff at Glen, an early-stage company building an Institutional Learning Layer for agents. Role involves end-to-end product engineering, infrastructure/backend performance, research/pipeline optimization, and owning customer impact from deployment to product feedback.
Responsibilities
- Product Engineering: build full-stack products from zero to one and iterate end-to-end.
- Infrastructure & Backend Performance: design durable workflows, handle high-volume ingestion, optimize latency.
- Research & Pipeline Optimization: design benchmarks to measure context influencing agent performance and translate results into real-world product improvements.
- Always Forward Deployed: own the customer experience end to end, turn customer signals into product/infrastructure improvements, collaborate cross-functionally.
Qualifications
- Experience: Any (new grads ok)
- Visa: Will sponsor
- Skills: React, TypeScript
Skills
About Glen
Unified organizational context for agents and humans
Glen is unified context for every agent and human on your team. Most MCP tools hand an agent a slice, one Slack thread, a single diff, and leave it to stitch the rest together itself. Glen reads from where your work already lives, code and PRs, issues, docs, and meetings, reconciles it, and gives your agents the full picture instead. With Glen a coding agent knows why a line was written, not just what it says. Ask a PR assistant anything about a change and the clarifying-question relay disappears. Bug bots read the intent behind the code before they comment, so they stop flagging deliberate choices as defects and stop repeating mistakes they already made. A sales agent can coach your head of sales off the full account history, how teammates handle similar calls, what was promised, where the deal stalled, etc. As the work gets done, Glen also distills it into skills and offers them back to the next agent, or person, who hits the same task.