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About Us Temporal is an open source programming model that can simplify code, make applications more reliable, and help developers focus on the important things like delivering features faster. We are on a mission to be the reliable foundation of every developer’s toolbox, and are building the team that will make that happen. Our values guide us —they are present in how we show up, make decisions, and work together to make an impact. We’re curious, driven, collaborative, genuine and humble. Temporal is growing and we are looking for those who share our values, challenge 'standard' thinking, and want to influence our future. If you have a passion for improving the developer experience, building world-class open-source software and communities, and want to be a part of our amazing team, we'd love to hear from you! Head of Engineering, Compute Companies at the frontier of the AI revolution run on Temporal. OpenAI runs on Temporal, handling millions of requests. Cursor runs its cloud coding agents on Temporal at over 50 million actions a day across 7M+ workflows, and more than a third of the pull requests its users merge now come from those agents. Replit, Lovable, Abridge, and Hebbia build their agents on it too. In the last year alone, AI-native companies executed 1.86 trillion actions on Temporal Cloud, and the curve is still bending upwards. Backed by a recent $300M Series D at a $5B valuation, we are building the durable execution layer the agentic era depends on. The Compute team owns the layer all of that runs on. We are looking for a Head of Engineering to lead the effort to make any aspects of Temporal's compute invisible to our customers, allowing them to focus on application layer innovation, while we handle the compute muck. This is a rare, build-the-foundation mandate: the compute substrate that the world's most demanding AI workloads will run on. We want a leader who has operated compute at planet scale, thinks in fleets, goodput, and cost-per-unit-of-compute, and pairs that with the operational rigor to run a service that frontier-AI companies bet production on. Responsibilities Strategic direction for Compute: Own the strategy and standards of excellence for the compute layer that the world's agents run on, across design, delivery, and operations. Build a culture of ownership, quality, and customer-first decision-making. Technical leadership: Lead, hire, and grow a high-ownership team; roll up sleeves, ready to do deep into the trenches, by staying close to design docs and code, rather than managing from a distance. Coach engineers, level them up, and clear the friction that slows them down. Roadmap & trajectory: Drive the arc from today's compute toward the next-generation of compute platforms. Ground prioritization in customer and design-partner feedback, and turn ambiguous, fast-moving requirements into predictable, iterative delivery. Operational excellence: When you run frontier AI in production, reliability is the product. Own operations, run on-call and incident response, and drive blameless postmortems and the systemic fixes that prevent recurrence. Technical depth: Guide the hard architectural decisions for large-scale, multi-tenant compute, where technical concerns cut across workload isolation and security, scheduling, fleet efficiency / utilization / goodput, and performance, while ensuring the platform is reliable and efficient for the workloads that depend on it. Capacity, supply & economics: Own utilization, capacity and supply planning, and the cost-per-unit-of-compute and margin profile of the fleet, across CPU compute today and accelerated compute ahead. Cross-team & customer execution: Partner with leadership, Product, SDK, UX/DX, Security, and design-partner customers to align priorities and unblock delivery. Communicate progress, tradeoffs, and risk clearly to technical and non-technical audiences alike. Qualifications Proven experience leading software engineering teams that build and operate large-scale compute platforms or fleets, with strong operational practices. 15+ years in software and/or infrastructure engineering, including 10+ years of people management and demonstrated ownership of delivery and live-site outcomes. Deep distributed-systems and compute infrastructure depth, with the hands-on judgment to guide architecture and execution rather than from a distance. Experience operating multi-tenant compute that other people's production workloads depend on. Bachelor's degree in Computer Science or related field, or equivalent practical experience; advanced degree a plus. Excellent communication skills, with the ability to partner across engineering, product, and leadership and fold customer feedback into the roadmap. Required Skills Strong leadership, coaching, and performance management; ability to grow engineers and build a healthy, accountable, high-ownership team. Excellence in execution: planning, prioritization, and delivering iterative milestones in an ambiguous, fast-moving environment while managing unplanned work. Fleet thinking: utilization, goodput, capacity and supply planning, and cost discipline as first-class engineering concerns. Live-site reliability craft: on-call, incident management & response, and postmortem-driven continuous improvement. Strong command of the building blocks of a compute platform: multi-tenant isolation and security, scheduling, and resource management. Ability to review and raise the bar on technical artifacts (design docs, code reviews) across a distributed-systems codebase. Preferred Experience MicroVMs and virtualization (Firecracker, gVisor, Edera) or managed-compute primitives (AWS Fargate, GCP Cloud Run, AWS Lambda), and/or Kubernetes internals. Building serverless or hosted-compute products from 0 to 1, including the rapid-delivery-vs-durable-platform tradeoffs that come with it. Multi-cloud delivery across AWS and GCP. Cold-start, warm-pool, and scheduling/latency optimization for on-demand compute. Agent sandboxes, secure execution of untrusted code, or other AI-agent infrastructure. GPU / accelerated compute: fractional GPUs (MIG, MPS, time-slicing), GPU scheduling, training vs. inference fleets, and multi-tenant GPU isolation. --- The ideal candidate is a strategic thinker with a hands-on approach, energized by building the compute foundation the AI era runs on. They are comfortable shaping a space that doesn't fully exist yet, obsessed with reliability when customers bet production on it, default to working backwards from customers, and balance the speed to ship 0-to-1 against the durable design a planet-scale platform demands. Compensation The estimated pay range for this role is $320,000 - $335,000. This role is eligible to participate in Temporal's equity plan Compensation ranges reflect salary and commission compensation (when applicable) across several geographic markets. Employment offers carefully consider multiple factors, including prior experience, knowledge, expertise, skillset, market location, and job level assessed during the interview process. Employee benefits and perks below are for full-time employees, part-time or temporary positions are excluded. U.S. Benefits Unlimited PTO, 12 Holidays + 2 Floating Holidays 100% Premiums Coverage for Medical, Dental, and Vision AD&D, LT & ST Disability, and Life Insurance (Standard & Supplemental Available) Empower 401K Plan Additional Perks for Learning & Development, Lifestyle Spending, Home Office Setup, Professional Memberships, WFH Meals, Internet Stipend and more! International Benefits Paid Time Off (PTO) and Benefits outside the United States vary by country, and are issued in partnership with Remote.com . Additionally, Temporal offers perks to all international employees for learning & career development, a lifestyle spending account, home office setup, professional memberships, work-from-home meals, and access to the Calm app for mental wellness. Travel Temporal is a globally distributed, collaborative team that values opportunities for in-person connection. Occasional travel may be required for company events, team offsites, and other meaningful moments that bring us together. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist. We are not working with external recruitment agencies, thanks.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.