Top Tech Jobs & Startup Jobs

Own Temporal’s Nexus product strategy and roadmap for agent connectivity. Identify customer and market opportunities, prioritize platform capabilities, guide engineering and design, and drive discovery, execution, launches, sales enablement, and adoption metrics. The role requires strong technical depth in distributed systems, APIs, SDKs, identity, authorization, infrastructure, and developer platforms, plus close collaboration with founders, customers, engineering, sales, and marketing.

Own the strategy and roadmap for Temporal’s agent primitives. Research agent-builder needs, translate customer and community signals into platform abstractions, and partner with engineering and design to ship and iterate technical products. Develop APIs, SDKs, integrations, messaging, and launch narratives while balancing developer experience, cloud adoption, and enterprise requirements. The role requires deep technical fluency in distributed systems, workflow orchestration, reliability, scalability, and AI agent workloads.

Own Temporal’s social media presence across brand channels, including editorial planning, content creation, publishing, community engagement, launch support, workflow coordination, and performance analysis. The role partners with Developer Relations and creative teams to translate technical content into platform-native stories, uses AI and automation to improve production, and establishes measurement, governance, and channel-growth strategies.

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.

Lead the technical vision and development of Temporal Cloud capacity systems. Design infrastructure for resource utilization tracking, consumption forecasting, automated capacity planning, and efficient resource management. Build distributed cloud services supporting autoscaling, workload isolation, and predictable performance in a multi-tenant environment. Collaborate with Product, Cloud Infrastructure, Finance, and executives on provisioning, pricing, scaling, and cost strategy.

Own the architecture, reliability, automation, and roadmap for core IT platforms including identity, device management, endpoint security, and internal tooling. Lead cross-functional technical initiatives, implement security controls, evaluate vendors, mentor IT staff, and support executives. Manage the San Francisco office’s network, conference-room technology, equipment, and vendor relationships while providing occasional support at company events and other locations.

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.