Jobs at Temporal Technologies

Deliver production-ready Temporal implementations with customer and partner engineering teams. Design reliable workflow patterns, deploy and operate Temporal Server in cloud or self-hosted environments, establish scaling and observability standards, and resolve complex technical issues. Create runbooks, templates, documentation, workshops, and training to enable independent customer operations. Provide implementation feedback to product and engineering teams while reducing escalations.

Own and expand Temporal’s strategic relationship with a Fortune 15 financial services customer. Drive adoption across lines of business, develop multi-year account strategies, engage technical and executive stakeholders, and convert successful production deployments into expanded consumption. Partner with solutions architecture, customer success, developer success, and product teams to ensure use cases reach production and deliver measurable outcomes. Navigate complex enterprise decision-making while consistently achieving growth goals.

Serve as the frontline technical expert for Temporal’s developer community. Deploy and scale cloud-native infrastructure, troubleshoot distributed systems, optimize performance, improve reliability, and build automation and observability solutions. Work directly with developers and engineering teams on Kubernetes, networking, monitoring, and infrastructure best practices. Translate customer use cases into architecture recommendations and influence platform improvements through strong technical communication.

Design and deliver production-grade backend systems powering Temporal Cloud namespaces, audit logs, export, and data products. Architect scalable data pipelines and storage systems, establish data quality and observability standards, lead technical direction, improve reliability and incident response, collaborate cross-functionally, and mentor engineers. The role emphasizes distributed systems, operational excellence, customer experience, and resilient cloud architectures.

Build and operate Temporal Cloud’s managed compute platform, including autoscaling systems, multi-tenant execution services, cloud integrations, control and data plane boundaries, security controls, observability, and reliability practices. Lead API design, rollout, incident response, technical reviews, cross-team collaboration, and mentorship for production platform capabilities.

Design and build Temporal Cloud’s multi-cloud infrastructure platform across AWS, GCP, and Azure. Own platform architecture, declarative infrastructure modeling, Kubernetes reconciliation, deployment control planes, reliability, recovery, and safe production rollouts. Lead system design, roadmap development, incident response, technical reviews, coaching, hiring, and cross-team collaboration while continuing to write production code in Go or another systems language.

Lead the strategy, architecture, and operation of an internal agent platform, AI infrastructure, developer infrastructure, and workflow automation. Build reliable, governed agents and tools, establish adoption practices and success metrics, partner cross-functionally, contribute feedback to Temporal products and open-source architecture, mentor engineers, and participate in on-call operations.

Set the multi-year technical direction for the Builder Platform, leading agent platforms, AI infrastructure, developer infrastructure, and productivity engineering. Establish governance, architecture, standards, metrics, and adoption strategies across the company. Partner with engineering and business leaders to prioritize AI opportunities, improve developer productivity, guide customer-zero feedback into products and open-source frameworks, mentor technical leaders, and reduce operational burden through systemic improvements.

Build and operate Temporal’s internal Agent Platform, AI infrastructure, developer infrastructure, agents, workflows, and engineering tools. The role includes establishing governance and reliability controls, partnering cross-functionally to accelerate work, driving adoption, measuring usage and productivity, contributing to open-source architectures, and participating in on-call support.

Build and operate backend services and data pipelines for Temporal Cloud, including namespace provisioning, audit logs, and export. Responsibilities include designing scoped features, improving scalability and reliability, managing high-volume multi-tenant data, and enhancing observability through testing, instrumentation, dashboards, alerts, and runbooks. The role involves code reviews, incident response, production debugging, cross-functional collaboration, and continuous improvement of developer and customer experiences.

Own month-end close activities, revenue accounting, reconciliations, flux analysis, financial statement support, audit schedules, and internal controls. Optimize Rillet and develop AI-assisted accounting workflows while partnering with Finance and cross-functional teams. The role requires strong US GAAP knowledge, public accounting or high-growth technology experience, advanced spreadsheet skills, and a bachelor’s degree in accounting or a related field.

Leads and scales Temporal’s global Deal Desk function, overseeing complex deal structures, pricing exceptions, approval workflows, CPQ governance, consumption-based pricing, international commercial frameworks, and revenue recognition considerations. Partners across Sales, Finance, Legal, and GTM Operations; drives AI-enabled workflows, reporting, playbooks, and scalable processes; and builds and develops a globally distributed Deal Desk team.

Owns Temporal’s marketing operations function, including attribution, funnel measurement, lead scoring, routing, MarTech systems, campaign execution, and BDR pipeline processes. The role leads a marketing operations team and agency, migrates Marketo to an AI-native platform, builds agentic workflows, governs data privacy and system reliability, and partners across Marketing, Sales, Data, and Analytics to improve developer adoption, pipeline, and revenue.

Leads Temporal’s global Field Operations organization across Sales, Technical Services, and Partners. Owns operating cadence, forecasting, pipeline visibility, territory and quota planning, capacity modeling, partner operations, TAM analysis, performance insights, reporting standards, and process automation. Manages regional and functional operations leaders, partners with executive stakeholders, and establishes AI-native practices across the field organization.

Build and maintain reusable analytical data products, canonical entities, data marts, semantic layers, and governed metrics across business domains. Establish modeling, documentation, quality, lineage, and change-management standards; improve data reliability, self-service analytics, and production governance. Partner with Data Platform, Trust, Data Science, Applied AI, and business stakeholders on orchestration, observability, access controls, feature tables, model outputs, and shared metric definitions. Remain hands-on with SQL, Python, testing, code reviews, documentation, and technical coaching.

Drive product-led growth through rigorous analysis of onboarding, activation, adoption, retention, expansion, and monetization. Partner with Product, Engineering, Design, Marketing, and Sales to design experiments, analyze funnels and cohorts, identify behavioral signals, build metrics and dashboards, improve instrumentation, and translate uncertain or incomplete data into actionable product recommendations.

Draft, review, and negotiate customer, procurement, vendor, reseller, marketplace, and technology agreements. Partner with Sales, GTM, and cross-functional teams to provide practical legal guidance, manage risk, and support business growth. Develop contract templates, negotiation playbooks, and scalable legal processes while helping maintain commercial legal infrastructure.

Lead the design and implementation of core Temporal server features across distributed systems, workflow execution, scheduling, persistence, visibility, and performance. Set technical direction, make reliability and operability improvements, partner cross-functionally, review designs and code, mentor engineers, and support open-source usability. The role requires extensive experience building production distributed systems, strong technical leadership, backend programming expertise, and operational experience with high-scale systems.

Lead AI agent optimization efforts by designing systems that improve token efficiency, response time, reliability, and output quality. Build agentic coding systems, develop AI application patterns, own features end to end, collaborate with engineering and field teams, support the developer community, and create public technical documentation. Work across Python, TypeScript, Java, and Go while serving as a domain expert in agent design and optimization.

Design, implement, and operate features for Temporal’s open source distributed systems server. Solve challenges involving scheduling, task processing, workflow execution, persistence, quotas, visibility, and performance. Improve reliability through testing, observability, dashboards, alerts, runbooks, and documentation. Collaborate across engineering and product teams, participate in design reviews, contribute to developer experience, and mentor junior engineers.