Senior Engineering Manager, AI Developer Experience

Temporal Technologies is an open source programming model company on a mission to simplify code and improve developer experience. The Senior Engineering Manager will lead a team to deliver a standardized ecosystem of core engineering and AI tools, partnering with teams to accelerate AI adoption while ensuring reliability and measurable business impact.

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)