Top Tech Jobs & Startup Jobs in Charlotte, NC

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.

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.