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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading engineering teams, with a strong focus on Python and Typescript development, AWS services, and observability tooling. Proven ability to mentor engineers, manage cross-functional collaboration, and drive product roadmaps effectively.
Highest-signal resume keywords
Team LeadershipPython DevelopmentAWS ServicesObservability ToolingCross-Functional Collaboration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonTypescriptAWSLambdaSQSKinesisObservabilityMonitoringEvaluation ToolingModel Context Protocol
Soft Skills
Strong CommunicationMentoringProblem SolvingManaging Ambiguity
Tools & Technologies
Observability ToolingEvaluation FrameworksStreaming Systems
Industry Keywords
Applied AIMachine LearningStartup ExperienceSeries B–D Stage
Tech Stack
Tools & technologiesAWSPythonTypeScript
About the role
Key responsibilities & impact- 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
- Stay hands-on with Python code, debug production issues, and make tactical contributions
- Partner with other product teams to translate voice-agent quality signals into actionable tooling and metrics
- Own the reliability and scalability of complex external and internal integrations
- Support the Copilot product roadmap in collaboration with Product
- Remove blockers for the team and resolve cross-functional friction
- Participate in sourcing, interviewing, and onboarding
- Own observability tooling, evaluation frameworks, integrations, and the customer-facing Copilot product
Requirements
What you’ll need- 6+ years of experience in a relevant engineering role
- 1-3 years of experience managing a team
- Hands-on experience with Python and Typescript
- Solid experience with AWS, including services like Lambda and SQS, and streaming systems (e.g. Kinesis)
- Comfortable managing ambiguity
- 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
- Experience with MCP (Model Context Protocol) or building agentic applications (nice to have)
- Background in observability, monitoring, or evaluation tooling specifically (nice to have)
- Experience working adjacent to applied AI or ML teams (nice to have)
- Prior startup experience at the Series B–D stage (nice to have)
Benefits
Comp & perks- Medical, Dental, and Vision plans - 80% covered by the company
- Flexible PTO & 11 paid holidays/year
- 401k Plan
- Paid parental leave
- Pre-tax commuter benefits
- In-office breakfast and snacks daily
- Happy hours, team outings, & annual off-sites
- Complete laptop workstation
