Top Tech Jobs & Startup Jobs in Boston, MA

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.