Temporal Technologies is an innovative company focused on simplifying code and enhancing developer experiences through open source programming models. As a Senior Engineering Manager on the Builder Tools team, you will lead efforts to create a frictionless ecosystem of engineering and AI tools, driving safe and effective AI adoption across the organization.
Responsibilities:
- Set direction for AI-assisted development, end-to-end: Define the engineering-wide approach for safe, effective AI-assisted workflows (tooling standards, rollout strategy, and adoption)
- Build frictionless paved paths: Identify and remove sources of friction in developer workflows; deliver a small set of deeply reliable, well-supported paved roads rather than many bespoke bypasses
- Internal AI platform strategy (build vs. buy): Own strategy and execution for internal agent runtimes and developer-facing AI systems (authoring, review, and automation workflows), including vendor evaluation and integrations
- Governance, cost, and measurement: Drive governance and cost management for AI tooling (usage measurement, guardrails, optimization) using clear metrics and frameworks (e.g., DORA/SPACE) to translate improvements into business outcomes
Requirements:
- A strong bias toward action, curiosity, and focus on impact
- Experience leading teams focused on developer productivity, DevEx, internal platforms, or engineering tooling
- Track record of driving adoption of new workflows and platforms across an engineering organization
- Ability to operate across boundaries and influence without direct ownership; comfort acting as an internal forward-deployed partner
- Strong coaching and feedback skills, creating an environment where engineers can grow and ship high-quality systems
- Experience evaluating and deploying AI coding tools, developer assistants, and/or LLM-based workflows and agents
- Intuition for when to adopt vs. build, and how to standardize without blocking innovation
- Strong software engineering background (backend, platform, or developer tools)
- Familiarity with modern developer workflows and the systems that support them
- Ability to engage deeply in technical discussions around system design, safety guardrails, operational readiness, and tradeoffs
- Ability to translate ambiguous needs into clear guidance and systems
- Strong empathy for builders and their workflows (including non-traditional developers)
- Experience prioritizing and communicating based on measurable impact, not just qualitative feedback
- Experience building measurement systems for tooling outcomes (adoption, reliability, cycle time, cost-to-serve, AI spend)