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Customer-facing technical lead for new-logo accounts in the Central region. Assess suitability for Temporal, demonstrate platform benefits, build prototypes, advise on architecture and production operations, partner with Account Executives on account plans, and own technical relationships. Travel ~25-50%.

The Senior Staff Software Engineer will drive the technical vision and architecture standards for cloud infrastructure, lead complex projects, mentor engineers, and collaborate with stakeholders.

Own full-cycle accounts payable in Bill.com and record transactions in Rillet; manage vendor onboarding and inquiries; execute payment runs and 1099 filings; administer Navan expense program and corporate cards; prepare AP accruals, reconciliations, and month-end close support; maintain vendor master and support external audits.

The Senior Developer Success Engineer will support developers in deploying Temporal in cloud-native environments and optimizing performance, addressing infrastructure issues, and enhancing automation solutions.

The Senior Solutions Architect leads technical interactions with customers in the Growth team, focusing on application suitability and promoting Temporal's platform advantages, ensuring effective relationships with key decision-makers.

The Staff Software Engineer - AI SDK will design and implement features for Temporal's AI SDK, enhance AI application development, and engage with the developer community to improve reliability and support open-source contributions.

The Staff Product Manager will lead the developer lifecycle at Temporal, defining strategies for testing, deployment, and CLI tools, while collaborating with engineering and cross-SDK teams to enhance developer experience.

The Senior Finance Manager will own revenue forecasting and financial modeling for a consumption-based business, partnering with Data Science and overseeing financial strategies and adjustments in a hypergrowth environment.

The Staff Software Engineer will lead the software development lifecycle focusing on observability, design high-scale distributed systems, and mentor team members while ensuring technical excellence.

Lead and grow a compute engineering team building large-scale, multi-tenant compute platforms for AI workloads. Drive strategy, roadmap, architecture, operations, capacity planning, and reliability. Own on-call, incident response, and cost/utilization tradeoffs while partnering across product, security, and customers to deliver a predictable, efficient, and secure compute substrate.