Engineering Manager

RESPONSIBILITIES:

• Lead and grow a team of 3-5 engineers — set expectations, support career development, and hold a high hiring bar
• Own execution of the observability and evaluation roadmap: tooling that surfaces how voice agents are performing and frameworks that let teams evaluate agent quality systematically
• Stay hands-on enough to jump into Python code, debug production issues, and make tactical contributions when needed
• Partner with the other product teams to translate voice-agent quality signals into tooling and metrics that are actually actionable
• Own the reliability and scalability of the team's integrations — the connections that link our systems to complex external and internal systems, and that need to scale as the business grows
• Support the copilot product's roadmap in collaboration with Product — the tool that lets customers iterate on their voice agents easily
• Remove blockers for your team — whether that means adjusting process, pairing on a hard debugging session, or resolving cross-functional friction
• Be actively involved in hiring: sourcing, interviewing, and onboarding

WHAT YOU'LL OWN:

• Observability tooling: Systems that give visibility into how voice agents are behaving in production — what's working, what's degrading, and why
• Evaluation frameworks: Tooling that lets the org systematically evaluate and improve voice agent quality over time, rather than relying on ad hoc checks
• Integrations: The complex external and internal integrations that connect our systems to the broader ecosystem, built to scale as usage grows
• Copilot product: A customer-facing product that lets customers iterate on their voice agents easily — this is a product we ship, not an internal tool

ABOUT YOU:

6+ years of experience in a relevant engineering role
1-3 years of experience managing a team
Hands-on experience with Python and Typescript — you can still write and debug code at a senior level, even if you now do it less often
Solid experience with AWS, including services like Lambda and SQS, and streaming systems (e.g. Kinesis)
Comfortable managing ambiguity — this space (observability + eval for AI agents) is still being defined, and you'll help define it
Strong written and verbal communication skills; able to work with both technical and non-technical stakeholders
A track record of mentoring engineers and helping them grow

NICE TO HAVE:

• Experience with MCP (Model Context Protocol) or building agentic applications 
• Background in observability, monitoring, or evaluation tooling specifically
• Experience working adjacent to applied AI or ML teams
• Prior startup experience at the Series B–D stage

BENEFITS/PERKS

• We care about your health! 
• Medical, Dental, and Vision plans - 80% covered by the company
• Flexible PTO & 11 paid holidays/year 
• We care about future you!
• 401k Plan
• Paid parental leave
• Pre-tax commuter benefits 
• We care about connection!
• In-office breakfast and snacks daily
• Happy hours, team outings, & annual off-sites
• Complete laptop workstation 
• & more to come!