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Product Education Engineer
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. PRODUCT EDUCATION ENGINEER SpaceXSI ships fast: new models, new agentic capabilities, and new workflows every week. The gap between what our product can do and what developers know how to build with it grows with every release. As a Product Education Engineer, you'll close that gap through hands-on labs, workshops, and tutorials, using our product as part of your own development process. RESPONSIBILITIES: - Build our technical learning library, including code walkthroughs, tutorials, labs, workshops, reference implementations, and instructor-led training - Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools and drive measurable outcomes - Partner with Product, Engineering, DevRel, and Go-to-Market ahead of major launches so new capabilities ship with clear educational framing, practical examples, and adoption paths on day one - Get Field Engineers, AI Deployment Managers, and Solutions Architects up to speed quickly on new capabilities - Design learning experiences for both developers and non-technical users (e.g. engineering leaders evaluating rollout, PMs pairing with agents) - Measure what works, tracking adoption and fluency gains rather than completion rates, and share insights with Product and Engineering on where developers get stuck BASIC QUALIFICATIONS: - 5+ years of experience in Field Engineering, Solutions Architecture, Consulting, or software engineering at a developer tools or platform company - Experience delivering technical training, workshops, or enablement sessions to engineering audiences PREFERRED SKILLS AND EXPERIENCE: - Hands-on experience across the software development lifecycle, with an understanding of how modern engineering organizations build software - Daily use of AI coding tools, with customized personal development workflows - Experience building demo environments, sample repos, content-freshness automation, or self-service enablement tooling - Experience designing technical curriculum or learning programs for both developer and non-technical audiences - Experience presenting complex technical concepts to engineering leaders and executives to support decisions on tool adoption - Experience with interactive or AI-native learning formats such as in-product learning, hands-on labs, or live teaching COMPENSATION AND BENEFITS: The annual compensation range for this role is listed below. Annual Salary: $130,000 - $210,000 USD Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
Software Engineer, Research Tooling
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. SOFTWARE ENGINEER, RESEARCH TOOLING As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights. This is a full-stack product-engineering role: you'll work directly with researchers and engineers to understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're creating platforms for experiment orchestration, developing novel visualization tools for model evaluation, or building abstractions for understanding model behavior at scale, your work will directly accelerate our mission of building frontier AI models. No prior ML or research experience is required. RESPONSIBILITIES: - Build and maintain the full-stack applications and infrastructure researchers rely on daily, covering experiment setup, feedback collection, and results analysis - Own complete product areas from user needs through design, implementation, and iteration, setting standards for how to build research applications - Create reusable platforms and tools that speed up new research applications, then prototype, ship, and iterate quickly based on real-world usage - Partner with research teams to turn their workflows and pain points into intuitive interfaces and abstractions that make complex research tasks fast and approachable BASIC QUALIFICATIONS: - Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree PREFERRED SKILLS AND EXPERIENCE: - Experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.) - Experience shipping full-stack products and owning systems from user interface to storage or services, using technologies such as TypeScript and React alongside Node, Python, or Go - Experience building dense, data-facing tools such as transcript viewers, diffing systems, review queues, observability products, or operational dashboards, with strong opinions about how structured data should be rendered - Product instincts: identifying the right problems to solve and moving from concept to working prototype with ease - Ability to move quickly under ambiguity, collaborate closely with researchers and domain experts, and take open-ended problems from rough need to reliable product - Ability to jump into new problems, quickly develop domain expertise, and independently drive impactful projects from conception to delivery ADDITIONAL REQUIREMENTS: - Onsite role: must be able to work in person at the Palo Alto office COMPENSATION AND BENEFITS: The annual compensation range for this role is listed below. Annual Salary: $140,000 - $225,000 USD Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
Software Engineer, Pretraining Data
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. SOFTWARE ENGINEER, PRETRAINING DATA We're looking for Software Engineers to build the data systems behind our frontier models' initial training. You'll work on large-scale crawling, data platform, and pipeline infrastructure, turning raw dumps into the datasets our models train on, and making iteration with researchers fast and reliable. RESPONSIBILITIES: Data Platform: - Build the platform that turns raw web, code, multimodal, and acquired data into training-ready datasets for frontier pretraining runs - Own the pipelines, orchestration, and tooling that make pretraining data iteration fast, reliable, observable, and reproducible at scale - Create clear signals for data quality, lineage, freshness, and pipeline health so researchers can trust what goes into each run - Partner with initial training, crawling, data quality, and acquisition teams to turn new data ideas into measurable improvements in loss, evals, and model capability Data Quality: - Build and own high-throughput, fully telemetered data pipelines that process frontier-scale data with end-to-end traceability. If something breaks or drifts, your systems will tell us before the training run does - Train and ship models that classify, rank, filter, clean, and identify data at extreme throughput. These models have to be both accurate and fast enough to sit in the critical path without becoming the bottleneck - Design and run scaling-ladder experiments on data-mixture, repeatability, and quality depth that turn "this dataset feels good" into hard evidence the training team can trust - Partner tightly with Data Acquisition to hunt down missing or low-quality sources, and with the training teams to close the loop on what actually moves loss and downstream evals - Treat data quality as a systems problem and a research problem. You will write performance-critical code one week and design careful experiments the next Crawling: - Build and scale the web crawling systems that discover, schedule, fetch, and parse high-quality documents across the open web for initial training - Improve URL seeding, scoring, and fair host scheduling so crawl capacity lands on the hosts and pages that matter most for model quality - Raise crawl success and parsing quality, defeating antibot failures, improving extractors, and capturing content we previously could not get cleanly - Debug and harden complex crawl infrastructure end-to-end for availability, recovery, and ingestion lag, and automate delivery of crawl datasets into the data pipeline - Work independently (and alongside AI agents) and partner with Data Quality and Data Platform so new coverage shows up as better tokens in training runs BASIC QUALIFICATIONS: - Minimum of 3 years of software engineering experience - Software engineering experience building distributed systems and/or large-scale data infrastructure PREFERRED SKILLS AND EXPERIENCE: - High-slope engineer who has moved unusually fast (e.g., staff-level ownership within a few years) or brings relevant domain experience - Able to architect and ship end-to-end with high ownership, debug complex systems independently, and work alongside AI agents - Strong intuitions about large-scale distributed systems - Excited to learn how pre-training data shapes model quality, and want the ownership and visibility that comes with building systems that feed frontier training runs ADDITIONAL REQUIREMENTS: - Onsite role: must be able to work in person at the Palo Alto office COMPENSATION AND BENEFITS: The annual compensation range for this role is listed below. Annual Salary: $160,000 - $250,000 USD Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
Software Engineer, Model Routing & Inference
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. SOFTWARE ENGINEER, MODEL ROUTING & INFERENCE As a Software Engineer on the Model Routing & Inference team at SpaceXSI, you'll build the inference platform that powers every AI interaction in the product. This team owns the full inference path: making Cursor's AI faster, more reliable, and more cost-effective at a scale few teams in the world get to operate at. Every agent session, every tab completion, and every chat message flows through your stack. RESPONSIBILITIES: - Build and evolve our inference gateway, a single abstraction over every provider's API semantics, so model onboarding becomes a config change - Design intelligent cross-provider failover so no single provider outage causes user-visible degradation - Design routing backpressure and admission control so traffic spikes don't cascade into providers BASIC QUALIFICATIONS: - Experience building high-throughput, low-latency distributed systems (e.g., inference serving, traffic routing, or real-time data pipelines) - Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree PREFERRED SKILLS AND EXPERIENCE: - Comfortable reasoning about cost/performance tradeoffs at scale (GPU utilization, provider economics, capacity planning) - Strong software engineering fundamentals and enjoying shipping production systems that handle millions of requests ADDITIONAL REQUIREMENTS: - If there appears to be a fit, we'll reach out to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team COMPENSATION AND BENEFITS: The annual compensation range for this role is listed below. Annual Salary: $140,000 - $225,000 USD Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
Software Engineer, Core Services
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. SOFTWARE ENGINEER, CORE SERVICES As a Software Engineer on the Core Services team at SpaceXSI, you'll own the critical shared services that sit between our product surfaces and the infrastructure layer: auth, webhooks, and the backend systems that power agent workflows. SpaceXSI is redefining how developers write code, and your work is what makes that possible at scale. You'll build the systems that every product team depends on, ensuring they are reliable, well-abstracted, and ready for whatever comes next. RESPONSIBILITIES: - Own authentication: designing and implementing a scalable auth architecture that secures one of the most widely-used developer tools in the world - Powering the agent backend: owning the infrastructure behind Cursor's agent workflows, optimizing for end-to-end performance and reliability as agents become central to the developer experience - Build a robust webhook server: handling high-throughput event delivery with proper retry semantics, dead-letter queues, and observability so external integrations just work - Harden SCM integrations: building resilient abstractions over source control providers so Cursor stays rock-solid regardless of third-party conditions - Drive end-to-end agent reliability: partnering with the client and inference teams to improve the full path from user action to agent response, closing the loop on one of the hardest problems in AI-powered development BASIC QUALIFICATIONS: - Experience building and operating backend services in production. Experience working with APIs and third-party integrations. PREFERRED SKILLS AND EXPERIENCE: - Experience with auth systems, API gateways, or webhook infrastructure - Experience working on agentic products or infrastructure and strong opinions on reliability and performance of complex multi-step systems - Care deeply about clean abstractions, well-defined service contracts, and making it easy for other engineers to build on top of your work - Strong software engineering fundamentals and enjoying owning the full lifecycle of production services - Experience with authentication/authorization frameworks (OAuth, JWTs, RBAC), event-driven architectures, or building developer-facing platform services is a plus ADDITIONAL REQUIREMENTS: - If there appears to be a fit, we'll reach out to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team COMPENSATION AND BENEFITS: The annual compensation range for this role is listed below. Annual Salary: $140,000 - $225,000 USD Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
Software Engineer, Bugbot
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. SOFTWARE ENGINEER, BUGBOT We're hiring a Software Engineer to work on Bugbot. Bugbot reviews pull requests, catches bugs, suggests improvements, and is becoming a critical part of how engineering teams ship software. As LLMs rapidly mature, the surface area of what Bugbot can do is expanding just as fast. From the model integration and agent harness improvement to the product UI, integrations, and onboarding experience, you'll maintain Bugbot as the industry's best AI code reviewer. RESPONSIBILITIES: - Launch new Bugbot features end-to-end from defining the feature and building the UI to wiring up the backend and iterating on model behavior so that each release meaningfully improves code review quality. You can check out the Bugbot blog post for some examples of how Bugbot was improved in the past: https://cursor.com/blog/building-bugbot - Evolve the review pipeline adapting prompting strategies, model routing, context selection, and agent orchestration to take advantage of new capabilities while managing cost and latency - Build integrations that embed Bugbot into every engineer's workflow making AI-assisted review a seamless, default part of the development loop - Own product quality and reliability monitor precision and recall, triage false positives, improve observability across the review pipeline, and ensure Bugbot earns trust with every review it posts - Design onboarding and adoption flows that help teams go from first install to daily active usage - Partner with ML, infrastructure, and product teams to inform model improvements with real-world review data, shape the Bugbot roadmap, and scale the system as adoption grows BASIC QUALIFICATIONS: - Experience building or working on agents. PREFERRED SKILLS AND EXPERIENCE: - Experience building or working on agents that integrate into the code review or CI/CD workflow - Experience shipping full-stack product features end-to-end and enjoying moving between frontend, backend, and model integration - Care deeply about developer experience and collecting new evals from customers and internal team members - Able to hold the tension between "ship fast to learn" and "don't erode trust with bad suggestions." - Experience launching a product or feature to external users and owning the full loop: onboarding, documentation, feedback, and iteration ADDITIONAL REQUIREMENTS: - Onsite role: must be able to work in person at the San Francisco or New York office COMPENSATION AND BENEFITS: The annual compensation range for this role is listed below. Annual Salary: $140,000 - $225,000 USD Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
Forward Deployed Engineer, Western Europe
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. FORWARD DEPLOYED ENGINEER - WESTERN EUROPE You embed directly with customer teams as the engineer on the ground: own an outcome, ship a production-grade SpaceXSI system that still runs after you leave, and become the critical technical feedback loop from the field back to product engineering. The work is the project. One week you might take a messy business workflow and put a production agent on it: pick the use case, stand up the architecture, wire it into the customer's auth, data, and tools, then harden it with evals until the team actually uses it. Another week you might live in a customer's repo and delivery system and ship an agent-powered path for a migration, a PR review loop, or an incident-to-fix flow, behind tests, review, and rollout rather than in a chat sidebar. RESPONSIBILITIES: - Lead discovery with the customer: orient in their codebases and workflows, find the real bottleneck and the use case worth building, and define clear success metrics - Design and ship production agents, AI applications, and coding-agent workflows on Grok and our models, on live business processes and inside the customer’s engineering org - Get a first version live in days, then harden it over weeks with rollout, monitoring, and iteration from real usage - Own production quality: tracing, evals, debugging model or delivery failures, and latency and cost tradeoffs - Build the systems around the model (tools, MCP servers, retrieval, rules, skills, CI gates, and evals) and integrate them into the customer’s auth, data, workflow, and delivery systems; decide when prompting, architecture, data, process, or a model change is the right lever - Measure the outcome that matters (revenue, cost, hours saved, error rate, cycle time, escaped defects), not seat adoption - Work directly with Staff+, platform, and domain leaders, going deep in their systems while communicating clearly about tradeoffs and results - Leave the customer team able to run what you built, and turn what you learn into reusable patterns and improvements to SpaceXSI products BASIC QUALIFICATIONS: - You have 5+ years of experience in software engineering, machine learning engineering, or data science - You’ve owned a customer or operator outcome, not just a slide or a prototype, and can turn a fuzzy problem into a scoped, shipped system - You’ve built and owned AI-native workflows or agents in production (using Python, JavaScript/TypeScript), and debugged real production failures (model, tool, data, pipeline, or delivery path) PREFERRED SKILLS AND EXPERIENCE: - 2+ years in a customer-facing role, leading discovery conversations and being accountable for outcomes for external stakeholders - Hands-on depth in several of: agents and tool-calling, eval harnesses, retrieval and context systems, CI/CD or developer platforms, and AI-native coding workflows in a real repo - Experience as a forward-deployed, solutions, or platform engineer embedded with customers, or as a founding engineer who owned an AI product end to end
Forward Deployed Engineer - Japan
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. FORWARD DEPLOYED ENGINEER - JAPAN You embed directly with customer teams as the engineer on the ground: own an outcome, ship a production-grade SpaceXSI system that still runs after you leave, and become the critical technical feedback loop from the field back to product engineering. The work is the project. One week you might take a messy business workflow and put a production agent on it: pick the use case, stand up the architecture, wire it into the customer's auth, data, and tools, then harden it with evals until the team actually uses it. Another week you might live in a customer's repo and delivery system and ship an agent-powered path for a migration, a PR review loop, or an incident-to-fix flow, behind tests, review, and rollout rather than in a chat sidebar. RESPONSIBILITIES: - Lead discovery with the customer: orient in their codebases and workflows, find the real bottleneck and the use case worth building, and define clear success metrics - Design and ship production agents, AI applications, and coding-agent workflows on Grok and our models, on live business processes and inside the customer’s engineering org - Get a first version live in days, then harden it over weeks with rollout, monitoring, and iteration from real usage - Own production quality: tracing, evals, debugging model or delivery failures, and latency and cost tradeoffs - Build the systems around the model (tools, MCP servers, retrieval, rules, skills, CI gates, and evals) and integrate them into the customer’s auth, data, workflow, and delivery systems; decide when prompting, architecture, data, process, or a model change is the right lever - Measure the outcome that matters (revenue, cost, hours saved, error rate, cycle time, escaped defects), not seat adoption - Work directly with Staff+, platform, and domain leaders, going deep in their systems while communicating clearly about tradeoffs and results - Leave the customer team able to run what you built, and turn what you learn into reusable patterns and improvements to SpaceXSI products BASIC QUALIFICATIONS: - You have 5+ years of experience in software engineering, machine learning engineering, or data science - You’ve owned a customer or operator outcome, not just a slide or a prototype, and can turn a fuzzy problem into a scoped, shipped system - You’ve built and owned AI-native workflows or agents in production (using Python, JavaScript/TypeScript), and debugged real production failures (model, tool, data, pipeline, or delivery path) PREFERRED SKILLS AND EXPERIENCE: - 2+ years in a customer-facing role, leading discovery conversations and being accountable for outcomes for external stakeholders - Hands-on depth in several of: agents and tool-calling, eval harnesses, retrieval and context systems, CI/CD or developer platforms, and AI-native coding workflows in a real repo - Experience as a forward-deployed, solutions, or platform engineer embedded with customers, or as a founding engineer who owned an AI product end to end
Forward Deployed Engineer - India
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. FORWARD DEPLOYED ENGINEER - INDIA You embed directly with customer teams as the engineer on the ground: own an outcome, ship a production-grade SpaceXSI system that still runs after you leave, and become the critical technical feedback loop from the field back to product engineering. The work is the project. One week you might take a messy business workflow and put a production agent on it: pick the use case, stand up the architecture, wire it into the customer's auth, data, and tools, then harden it with evals until the team actually uses it. Another week you might live in a customer's repo and delivery system and ship an agent-powered path for a migration, a PR review loop, or an incident-to-fix flow, behind tests, review, and rollout rather than in a chat sidebar. RESPONSIBILITIES: - Lead discovery with the customer: orient in their codebases and workflows, find the real bottleneck and the use case worth building, and define clear success metrics - Design and ship production agents, AI applications, and coding-agent workflows on Grok and our models, on live business processes and inside the customer’s engineering org - Get a first version live in days, then harden it over weeks with rollout, monitoring, and iteration from real usage - Own production quality: tracing, evals, debugging model or delivery failures, and latency and cost tradeoffs - Build the systems around the model (tools, MCP servers, retrieval, rules, skills, CI gates, and evals) and integrate them into the customer’s auth, data, workflow, and delivery systems; decide when prompting, architecture, data, process, or a model change is the right lever - Measure the outcome that matters (revenue, cost, hours saved, error rate, cycle time, escaped defects), not seat adoption - Work directly with Staff+, platform, and domain leaders, going deep in their systems while communicating clearly about tradeoffs and results - Leave the customer team able to run what you built, and turn what you learn into reusable patterns and improvements to SpaceXSI products BASIC QUALIFICATIONS: - You have 5+ years of experience in software engineering, machine learning engineering, or data science - You’ve owned a customer or operator outcome, not just a slide or a prototype, and can turn a fuzzy problem into a scoped, shipped system - You’ve built and owned AI-native workflows or agents in production (using Python, JavaScript/TypeScript), and debugged real production failures (model, tool, data, pipeline, or delivery path) PREFERRED SKILLS AND EXPERIENCE: - 2+ years in a customer-facing role, leading discovery conversations and being accountable for outcomes for external stakeholders - Hands-on depth in several of: agents and tool-calling, eval harnesses, retrieval and context systems, CI/CD or developer platforms, and AI-native coding workflows in a real repo - Experience as a forward-deployed, solutions, or platform engineer embedded with customers, or as a founding engineer who owned an AI product end to end
Engineering Manager, Agent & Product Security
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ENGINEERING MANAGER, AGENT & PRODUCT SECURITY Cursor's agents work inside the codebases of some of the most security-conscious engineering organizations in the world, holding credentials, reading untrusted content, running tools, and shipping changes. Today they act on authority delegated per task. Where we're headed, they'll work more like coworkers: autonomous over long horizons, holding standing responsibilities, initiating work, and collaborating with people and other agents. The security models that the future needs, identity and accountability for autonomous workers, standing authority rather than per-task permission, agent-to-agent trust, oversight that scales with always-on autonomy, mostly don't exist yet. RESPONSIBILITIES: - Chart the path from supervised agents to trusted autonomous ones: define the security primitives that enable agent autonomy, and lead the team that builds them - Engineer the isolation that makes Cursor safe to run inside customers' most valuable codebases: tenancy, workspace, secret, and data protections designed for real adversaries - Build the authority infrastructure autonomous agents need: identity, scoped permissions, policy enforcement, and secure tool execution, so an agent can hold real responsibility with verifiable limits and full accountability - Build customer-facing security controls that are understandable, usable, and strong enough for Cursor's most security-sensitive customers, with crisp success metrics for security outcomes - Hire, coach, and grow a high-performing security engineering team while staying technically close to the work: write and review code where useful, and keep execution fast and technically grounded BASIC QUALIFICATIONS: - Experience leading engineering teams that ship production systems with high security, reliability, or platform stakes PREFERRED SKILLS AND EXPERIENCE: - Wants a problem space where much of the answer isn't written down yet - Experience leading engineering teams shipping production systems with high security, reliability, or platform stakes, and you want a problem space where much of the answer isn't written down yet - Strong product and systems judgment: you can reason from user workflows to architecture, threat models, enforcement points, and operational tradeoffs, and you see security as something that enables product capability, rather than only restricting it - Understand modern application security, authorization, tenancy, identity, secrets, data isolation, and secure-by-default platform design - Good instincts about AI agents: how they use tools, where authority should come from, how prompt injection and exfiltration show up in practice, and how to build mitigations that hold up against creative adversaries - Comfortable operating in ambiguity: you can set strategy where precedent is thin, commit to a direction, and stay close enough to the implementation to know when to change it - Able to partner well across product, infrastructure, ML, and customer-facing teams ADDITIONAL REQUIREMENTS: - Onsite role based in New York or Palo Alto COMPENSATION AND BENEFITS: The annual compensation range for this role is listed below. Annual Salary: $220,000 - $357,000 USD Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
Regional Director, Field Engineering
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. REGIONAL DIRECTOR, FIELD ENGINEERING We're hiring a Regional Director, Field Engineering to build and lead a high impact pre-sales Field Engineering team supporting our fastest growing enterprise accounts. This role sits at the intersection of Sales, Product, and Engineering and is responsible for ensuring our technical pre-sales motion scales with quality, speed, and credibility. As the Regional Director, Field Engineering, you'll manage and develop Field Engineers who partner closely with AEs to run technical discovery, demos, and proofs of concept. You'll also stay close to customers and deals yourself, coaching in real time, unblocking complex evaluations, and ensuring SpaceXSI is positioned as the best AI-native development platform on the market. RESPONSIBILITIES: - Lead, coach, and scale a team of Field Engineers supporting enterprise opportunities; partner closely with Sales leadership and AEs to drive high quality technical discovery, demos, and POCs - Establish best practices for evaluations, proof-of-concept execution, and technical deal strategy - Serve as an escalation point for complex customer evaluations and high-stakes enterprise deals - Hire, onboard, and develop top-tier Field Engineering talent; set clear expectations and career paths - Act as the voice of the field internally, feeding customer and prospect insights back to Product and Engineering - Ensure tight handoffs with post-sales teams to support successful customer onboarding and adoption; maintain deep knowledge of SpaceXSI's product, roadmap, and competitive landscape BASIC QUALIFICATIONS: - 3+ years experience leading Field Engineers, Solutions Architects, or Pre-Sales teams in enterprise software PREFERRED SKILLS AND EXPERIENCE: - Pre-sales leadership for AI/ML platforms, LLM APIs, developer tools, or cloud products sold to engineering, IT and business line leaders - Familiarity with software development lifecycles and enterprise AI: AI coding tools, AI agents, and LLM APIs - Proven ability to partner effectively with Sales while maintaining technical integrity and customer trust - Comfortable operating in customer-facing, high-pressure deal environments and guiding teams through complexity - Strong communication skills and executive presence, and able to engage developers, architects, and CTOs - A builder mindset: you thrive in fast-moving, startup environments and enjoy creating structure where little exists ADDITIONAL REQUIREMENTS: - Must be willing to travel to customer sites as needed COMPENSATION AND BENEFITS: The expected annual base salary range for this role is $245,000 - $280,000. This role is also eligible for sales commissions or bonuses, with an annual on-target earnings (OTE) range of $350,000 - $400,000. OTE includes base salary plus target incentive compensation, assuming 100% achievement of applicable performance targets. Actual incentive earnings depend on performance and the terms of the applicable plan. Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
Revenue Strategy and Operations , ANZ
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Revenue Strategy & Operations partner for Australia and New Zealand, one of our most established markets in Asia-Pacific, you'll work with our ANZ sales leadership to plan and run the business, from the market's largest enterprises and government agencies to its fastest-growing technology companies. You will be the trusted advisor to our sales leaders on how the business is planned and run: where we invest, how we cover the market, and how we read performance in a consumption business, while building the operational foundations to scale. Much of the work you will do yourself, hands-on. This role suits a structured thinker who is comfortable with ambiguity: you will often start from an open question, turn it into a clear recommendation, and get leaders who don't report to you aligned behind it. You'll work closely with Strategy & Operations peers in Singapore, Japan, Korea and India, with global Revenue Operations and Finance, and you'll use Claude every day to do the work of a much larger team. This is a senior individual contributor role. You'll report to the head of Revenue Strategy & Operations for Asia-Pacific, who is also based in Sydney, work day to day alongside our sales leaders and team, and spend regular time with customers and colleagues across Australia and New Zealand. Responsibilities Go-to-Market Strategy - Lead annual and quarterly go-to-market planning for Australia and New Zealand with sales leadership and Finance: set targets, territories and sales capacity, and own the trade-offs behind them. - Set how we segment the market and design territories across enterprise, public sector, digital natives and startups, and keep books balanced as the team grows. - Align leadership on coverage and investment (which industries and accounts get named sellers, what we cover through partners and self-serve), and revisit the call as the business grows. - Shape how we go to market with cloud marketplaces, systems integrators and resellers (co-selling, partner pipeline and joint planning), alongside our partnerships team. - Give sales leadership an independent read of the business (consumption, pipeline and performance by segment), with the risks, the opportunities and a recommended course of action, early enough to act on. Rhythm of the Business & Regional Leadership - Own the operating rhythm for Australia and New Zealand (weekly forecast and pipeline reviews, monthly and quarterly business reviews), and make it the place where decisions get made, not where reports get read. - Represent the market with Revenue Operations, Sales Enablement, Finance, Marketing and Partnerships; keep its plans aligned with Asia-Pacific and the company, and bring back what works elsewhere. - Advise ANZ and Asia-Pacific leadership through planning sessions, performance reviews and leadership updates. Own the narrative, not just the numbers. - Influence without authority: bring structure to ambiguous problems, build the case, and drive decisions across teams you don't manage. Operations & Global Programs - Own the market's commercial governance (account and territory decisions, rules of engagement, planning inputs, data standards), working through our global Revenue Operations team, who own the CRM and sales systems. - Land global programs, processes and tools in Australia and New Zealand, and be the market's voice back to headquarters when something needs to change. - Keep the commercial engine running smoothly across the long, multi-stakeholder sales cycles typical of enterprise and government buyers. You may be a good fit if you have Required qualifications - 8-12 years of experience in B2B SaaS, cloud or enterprise software, including several years leading sales strategy, revenue operations or commercial go-to-market work as the advisor to a sales leader, ideally in Australia or New Zealand - Structured thinking: a track record of taking ambiguous, open-ended problems and turning them into options, a recommendation and a decision - Analytical depth: you can get from raw data to a recommendation yourself, and you know which three numbers a leader needs to see - You have owned annual planning, territory design, quota setting and business reviews for enterprise sales teams - Hands-on with Salesforce and data (reports, dashboards and your own analysis); you use the systems yourself rather than administer them - Presence and judgement with senior sales leadership and C-level stakeholders, including the confidence to give an unwelcome recommendation, and a record of getting decisions made across teams you don't manage - Comfortable operating in ambiguity and at pace; you can build the process while running it - A record of advising regional leadership on go-to-market strategy and getting the organization behind it - Based in Sydney Strong candidates may also have - Experience in a consumption or usage-priced business (cloud infrastructure, data or AI platforms): planning and forecasting on usage, not bookings alone - Management consulting experience (strategy or operations work), ideally combined with time in an operating role - A track record of scaling sales organizations through 3x+ growth periods in B2B software - Go-to-market experience with the Australian public sector (federal and state), or with partners and cloud marketplaces in Australia and New Zealand - Experience in Chief of Staff or Business Operations roles supporting regional leadership - You already use AI tools hands-on in your own work Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Recruiter, Communications
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for a Recruiter to partner with our Communications team. This team tells Anthropic's story across corporate, product, executive, and internal communications. In this role, you will be the team's primary recruiter. You will own searches from intake through offer, and you will advise leaders on where the talent is, what it costs, and how to win it. The best communicators are rarely looking, so finding them is the job. As the team grows, you may also support hiring for Brand and Marketing. Key responsibilities - Have a passion for AI's potential to positively impact the world, and a realistic view of its risks and limitations - Have recruited for communications, PR or adjacent roles, and understand what great looks like in that craft - Know how to find and engage candidates who are passive through a variety of creative channels - Build trust with senior leaders, and have the confidence to push back with data - Write clearly and pay close attention to detail, because candidates and comms leaders will notice both - Run a tight, high-touch process that respects candidates' time and helps hiring managers decide quickly - Turn hiring data into clear recommendations, not just status updates - Thrive in a fast-paced environment and handle executive and confidential searches with discretion Preferred qualifications - Have 10+ years of full-lifecycle recruiting experience, with a track record of closing senior, hard-to-fill roles - Experience hiring for a high-growth technology company whose public narrative matters - A network across media, agency, and in-house communications talent - Experience supporting executive hiring - Experience using AI tools in your daily work, and are curious about where they can take recruiting next The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 - $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Product Marketing Manager, Knowledge Work - Enterp...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role There are close to a billion knowledge workers in the world, and only a small fraction of them have worked with AI that makes them better at what they do. In the enterprise, reaching the rest depends on the IT, security, and business leaders who decide whether to adopt AI, and the admins who decide how it's deployed, governed, and scaled across their organizations. They ask hard questions before they say yes, and this role owns how we answer them. We're looking for a Product Marketing Manager to own positioning for Claude's core knowledge-work products (Chat, Cowork, and the broader non-coding suite) for enterprise decision makers and admins. You'll work across the areas that matter most to enterprise customers today: security and observability, workspace management and deployment controls, and pricing and packaging. You'll own the materials that help a decision maker or admin understand what's possible, roll Claude out with confidence, and make the case internally, including product launches, the website, pitch decks, battlecards, persona narratives, pricing and packaging story, and admin communications. Beyond making the case for adopting AI, you'll help the people accountable for deploying it do that safely, and show them exactly how to put it to work across their organizations. This is an individual-contributor role for someone who loves the hands-on work of product marketing, on products with enormous, established usage and a fast launch cadence. You'll write the positioning doc, build the battlecard, and ship the persona work yourself, and you'll use Claude to keep it all current, so the teams that depend on it can trust it. This role is for you if you've owned the full product marketing stack for a widely used enterprise product and know how to speak credibly to business, IT, and security audiences. You probably also turn your own PMM work into systems rather than one-off documents, and you want your writing to be the reason enterprise decision makers and admins say yes to rolling out and scaling Claude. Key responsibilities - Define the story that earns enterprise trust. Own the positioning and messaging house for Chat, Cowork, and Claude's core knowledge-work products for admins, so every deck, campaign, and piece of content makes the same case for adopting and scaling Claude. - Own the story for how enterprises run Claude. Lead positioning and launches across security and observability, workspace management, and the controls for managing deployments, working with Product to turn new capabilities into clear reasons to adopt and expand. - Give sellers the conviction to close. Build and maintain the sales enablement assets (pitch decks, battle cards, objection handling) that help GTM answer security, deployment, and pricing questions with confidence. - Help decision makers and admins make the call. Own the proof points, comparisons, and narratives that help decision makers, admins, and their IT and security teams evaluate Claude and justify the investment and rollout internally. - Make our pricing and packaging easy to understand and buy. Partner with Product, Finance, and GTM on how we present plans, pricing, and packaging for Claude Enterprise, and build the cost and value story that helps customers make the case to scale. - Make sure the message reaches the right person, in their language. Develop ICP and persona frameworks that cover a varied base of enterprise decision makers and admins (executive buyers, IT, security, compliance, and workspace owners) in enough detail to shape messaging and campaigns for each one. - Make our website answer buyers' questions. Own the website and product page messaging for Claude Enterprise, including how we present admin controls, security, governance, and plans and pricing. It's often where a buyer or admin decides whether to take a closer look. - Turn scattered wins into a playbook others can run. Build libraries of top enterprise deployment and admin use cases by product and by function or industry, so the best examples of successful rollouts become patterns anyone can copy. - Prepare admins for what's next. Partner with Product and Comms on enterprise launches so admins know what's changing, what controls they have, and what to do next, through clear admin communications, help content, and ongoing education. - Keep every team telling the same story. Partner closely with GTM, Marketing, and Partners so they're always working from current, consistent materials. - "Claudify" our own foundations. Use Claude, including Skills and automations, to build systems that keep positioning, messaging, personas, and enablement current, so you're working the way we ask our customers to work. - Support analyst relations. Contribute materials for the enterprise knowledge-work portfolio where they overlap with your positioning and messaging work. Minimum qualifications - Have owned positioning and messaging for an established enterprise software product, with decision makers and IT, security, or admin teams as a core audience - Have worked on enterprise pricing and packaging, including how plans are presented, how changes are communicated, and how the value story holds up with buyers - Have built ICP and persona frameworks and translated research into messaging that works across websites, collateral, campaigns, and content - Have built sales enablement assets and worked directly with sales teams on objection handling and win/loss analysis - Understand how enterprises evaluate, buy, deploy, and govern software, including identity and access, security and compliance review, data governance, observability, workspace management, and usage and spend controls - Have strong writing and storytelling skills, with the ability to make technical topics clear and adapt tone and complexity across formats like pitch decks, web copy, battlecards, and admin communications - Are comfortable operating autonomously as an IC, writing and shipping assets directly rather than through a team - Demonstrate systems thinking, and the ability to move fast and with conviction in an always-evolving environment - Are well-versed in using AI, especially Claude, to inform and automate product marketing work, and have built systems that update PMM foundations and share them with the teams who depend on them - Have experience marketing AI or productivity software to enterprise decision makers and IT, security, or admin audiences Preferred qualifications - 7+ years of product marketing experience with experience as a Senior PMM or PMM Lead at an enterprise productivity, collaboration, or knowledge-work software company with ownership of admin, security, platform, or pricing positioning - Experience marketing to customers in regulated industries (e.g., financial services, healthcare) - Experience building admin education or community programs - Experience with analyst relations processes and reports (e.g., Gartner, Forrester) - Experience with usage-based or consumption pricing Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Staff+ Software Engineer, Claude Design
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude Design lets anyone collaborate with Claude to create polished visual work: interactive prototypes, product mockups, slides, and animations. We're making Claude the best visual storyteller there is, lowering the floor so anyone can bring an idea to life, and raising the ceiling on what the most skilled creators can make. We work on Artifacts in Claude, and so far we've shipped new kinds of artifacts like Claude Design, Slides, and Motion, and we are exploring new bets. We're looking for Software Engineers to help build and shape Claude Design and the creative capabilities of Claude. This is a craft-heavy, product engineering role: you'll create the canvas, real-time editing, design-system inference, and AI-driven generation experiences that make AI-generated design feel like a tool people reach for first, not a demo. You'll work at the intersection of cutting-edge research and real-world application, rapidly building and testing new experiences, partnering directly with researchers and users, and helping to generate the crucial insights that shape where the product goes next. You'll join a small, fast-moving team with high autonomy. If you're a strong design engineer who loves building visual products and likes to sweat the details, we'd love to hear from you. Key responsibilities - Build and ship user-facing features across our products, and help decide which creative spaces we explore next - Set technical direction for these products, including editor and canvas architecture, real-time collaboration, and rich import and export - Own the quality bar for how these products look and feel, treating latency, responsiveness, and reliability as first-class concerns and raising user experience and design considerations early - Partner with researchers to rapidly prototype experiences around vision and generation capabilities, and help improve the quality of what Claude generates - Spend time with users and dig into how people actually use what you ship, then turn what you learn into what we build next - Build the shared foundations that let us launch new creative tools quickly and make them work well together Minimum qualifications - Strong design sensibility and a high bar for craft, including attention to interaction details, motion, and polish - Strong full-stack engineering skills, including production frontend and backend work on user-facing web products - Ability to thrive in ambiguity and be energized by uncertainty - High agency, good judgment about what matters, and a bias toward shipping - A deeply user-centric approach: you validate ideas with actual users before over-investing and talk about problems before solutions - Strong opinions held loosely: you advocate forcefully for ideas but change your mind based on evidence - Care for Anthropic's mission and the societal impacts of your work Preferred qualifications - Extensive experience working with or building visual collaboration and creative tools - Experience with UI and UX for AI-powered applications, and fluency collaborating closely with designers - Deep frontend expertise in canvas rendering, complex editor UIs, design-system tooling, or graphics work, such as WebGL, shaders, 3D, or animation - Experience with real-time, collaborative applications, such as multiplayer editing and WebSockets - Background conducting user research, interviews, and usability testing - Experience building and shipping products from 0 to 1 - Experience building product platforms, primitives, or shared foundations that other products and teams build on top of - Performance optimization experience, such as profiling, improving rendering, and tracing end-to-end latency The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
AI Deployment Manager - Singapore
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. AI DEPLOYMENT MANAGER - SINGAPORE We're hiring the first AI Deployment Manager to partner with some of our most strategic enterprise customers. As an AI Deployment Manager, you'll drive adoption, deliver measurable business value, and help shape how AI transforms engineering teams. You'll act as the connective tissue between customer stakeholders and our internal teams, influencing both the SpaceXSI roadmap and each customer's implementation strategy. This role is highly cross-functional and customer-facing. RESPONSIBILITIES: - Build and grow deep relationships with engineering leaders and power users at key accounts - Partner with Field Engineering and Sales to deliver a seamless post-sale experience; drive adoption of SpaceXSI by aligning usage with business objectives and engineering goals - Guide customers on best practices for rollout, prompt strategy, context configuration, and internal enablement - Serve as the customer's voice internally and influence roadmap priorities - Provide strategic account planning and regular business reviews with VP- and CTO-level stakeholders - Monitor account health, usage patterns, and product engagement to drive renewals and expansion BASIC QUALIFICATIONS: - Experience in TAM, Solutions Architecture, Customer Success, or Consulting for enterprise software PREFERRED SKILLS AND EXPERIENCE: - Fluent in technical workflows, AI tooling, and developer productivity (even without full-time engineering experience) - Strong communication skills and executive presence, and comfortable whiteboarding with developers and pivoting to value with a CTO - A deep understanding of the software development lifecycle and engineering org structures - Customer-obsessed with a knack for strategic thinking and problem-solving - Thrive in a startup environment: scrappy, proactive, and adaptable
AI Deployment Manager - Japan
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. AI DEPLOYMENT MANAGER - JAPAN As an AI Deployment Manager (ADM) at SpaceXSI, you'll own the post-sale journey for a portfolio of enterprise customers, driving adoption, retention, and expansion. You'll help organizations successfully roll out Grok, Grok Build, Grok Bot, and Grok APIs and evolve how they work with AI across knowledge work and coding. You'll operate at the center of each account, partnering with developers, admins, and executives while working closely with Sales, Field Engineering, Product, and Support. You'll shape rollout strategy and influence SpaceXSI's roadmap priorities through customer insight. RESPONSIBILITIES: - Manage a book of business with our top enterprise customers, owning the long-term success of each account - Engage CTO / VP / SVP Engineering stakeholders to demonstrate ROI and guide AI-driven organizational change - Lead enterprise rollouts end-to-end: onboarding, enablement, internal champions, and scaled adoption - Turn high-impact use cases into durable, repeatable workflows across teams - Monitor account health and usage data to drive renewals and expansion with AEs - Represent the customer internally, synthesizing feedback and influencing product priorities BASIC QUALIFICATIONS: - Fluent Japanese and business-level English PREFERRED SKILLS AND EXPERIENCE: - Experience working at the intersection of business and technology and thriving in customer-facing roles - Able to translate customer needs into clear technical plans and measurable outcomes - Understand modern engineering and knowledge-work orgs, the SDLC, developer and knowledge-worker workflows, and tool adoption - Communicate comfortably with multiple functions around an enterprise including developers and senior executives - Analytical and operational, using data to prioritize and drive action - Already a power user of Grok, Grok Build, Grok Bot, or Grok APIs (or modern AI tools for knowledge work and coding) with strong opinions about what great looks like (big plus)
AI Deployment Manager - India
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. AI DEPLOYMENT MANAGER - INDIA As an AI Deployment Manager (ADM) at SpaceXSI, you'll own the post-sale journey for a portfolio of enterprise customers, driving adoption, retention, and expansion. You'll help engineering organizations successfully roll out SpaceXSI and evolve how they work with AI. You'll operate at the center of each account, partnering with developers, admins, and executives while working closely with Sales, Field Engineering, Product, and Support. You'll shape rollout strategy and influence SpaceXSI's roadmap priorities through customer insight. RESPONSIBILITIES: - Manage a book of business with our top enterprise customers, owning the long-term success of each account - Engage CTO / VP / SVP Engineering stakeholders to demonstrate ROI and guide AI-driven organizational change - Lead enterprise rollouts end-to-end: onboarding, enablement, internal champions, and scaled adoption - Turn high-impact use cases into durable, repeatable workflows across teams - Monitor account health and usage data to drive renewals and expansion with AEs - Represent the customer internally, synthesizing feedback and influencing product priorities BASIC QUALIFICATIONS: - Experience in a customer-facing role at the intersection of business and technology PREFERRED SKILLS AND EXPERIENCE: - Thrives in customer-facing roles - Experience working at the intersection of business and technology and thriving in customer-facing roles - Able to translate customer needs into clear technical plans and measurable outcomes - Understand modern engineering orgs, the SDLC, developer workflows, and tool adoption - Communicate comfortably with both developers and senior executives - Analytical and operational, using data to prioritize and drive action - Already a SpaceXSI user (or power user of modern AI coding tools) with strong opinions about what great looks like (big plus)
AI Deployment Manager - Australia
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. AI DEPLOYMENT MANAGER - AUSTRALIA As an AI Deployment Manager (ADM) at SpaceXSI, you'll own the post-sale journey for a portfolio of enterprise customers in Australia, driving adoption, retention, and expansion. You'll help engineering organizations successfully roll out SpaceXSI and evolve how they work with AI. You'll operate at the center of each account, partnering with developers, admins, and executives while working closely with Sales, Field Engineering, Product, and Support. You'll shape rollout strategy and influence SpaceXSI's roadmap priorities through customer insight. RESPONSIBILITIES: - Manage a book of business with our top enterprise customers, owning the long-term success of each account - Engage CTO / VP / SVP Engineering stakeholders to demonstrate ROI and guide AI-driven organizational change - Lead enterprise rollouts end-to-end: onboarding, enablement, internal champions, and scaled adoption - Turn high-impact use cases into durable, repeatable workflows across teams - Monitor account health and usage data to drive renewals and expansion with AEs - Represent the customer internally, synthesizing feedback and influencing product priorities BASIC QUALIFICATIONS: - Experience in a customer-facing role at the intersection of business and technology PREFERRED SKILLS AND EXPERIENCE: - Thrives in customer-facing roles - Experience working at the intersection of business and technology and thrive in customer-facing roles - Able to translate customer needs into clear technical plans and measurable outcomes - Understand modern engineering orgs, the SDLC, developer workflows, and tool adoption - Communicate comfortably with both developers and senior executives - Analytical and operational, using data to prioritize and drive action - Already a SpaceXSI user (or power user of modern AI coding tools) with strong opinions about what great looks like (big plus)
AI Deployment Manager
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. AI DEPLOYMENT MANAGER As an AI Deployment Manager (ADM) at SpaceXSI, you'll own the post-sale journey for a portfolio of enterprise customers, driving adoption, retention, and expansion. You'll help engineering organizations successfully roll out SpaceXSI and evolve how they work with AI. You'll operate at the center of each account, partnering with developers, admins, and executives while working closely with Sales, Field Engineering, Product, and Support. You'll shape rollout strategy and influence SpaceXSI's roadmap priorities through customer insight. RESPONSIBILITIES: - Manage a book of business with our largest enterprise customers in the life sciences segment, owning the long-term success of each account - Engage CTO / VP / SVP Engineering stakeholders to demonstrate ROI and guide AI-driven organizational change - Lead enterprise rollouts end-to-end: onboarding, enablement, internal champions, and scaled adoption - Turn high-impact use cases into durable, repeatable workflows across teams - Monitor account health and usage data to drive renewals and expansion with AEs - Represent the customer internally, synthesizing feedback and influencing product priorities BASIC QUALIFICATIONS: - Experience in a customer-facing role at the intersection of business and technology PREFERRED SKILLS AND EXPERIENCE: - Thrives in customer-facing roles - Experience working at the intersection of business and technology and thriving in customer-facing roles - Able to translate customer needs into clear technical plans and measurable outcomes - Understand modern engineering orgs, the SDLC, developer workflows, and tool adoption - Communicate comfortably with both developers and senior executives - Analytical and operational, using data to prioritize and drive action - Already a power user of Grok, Grok Build, Grok Bot, or Grok APIs (or modern AI tools for knowledge work and coding) with strong opinions about what great looks like (big plus) ADDITIONAL REQUIREMENTS: - Remote but must be willing to travel to customer onsites as needed COMPENSATION AND BENEFITS: The expected annual base salary range for this role is $164,500 - $200,000. This role is also eligible for sales commissions or bonuses, with an annual on-target earnings (OTE) range of $235,000 - $280,000. OTE includes base salary plus target incentive compensation, assuming 100% achievement of applicable performance targets. Actual incentive earnings depend on performance and the terms of the applicable plan. Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
Partner Account Manager, ANZ
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Partner Account Manager ANZ you will help manage and execute the partnerships that accelerate Claude adoption, unlock new capabilities and drive outcomes for our joint customers across Australia and New Zealand. You will own a defined set of named partners end to end — a mix of (a) in-country ANZ practices of our global system integrators (e.g. Accenture, Deloitte, Cognizant) and consulting houses (BCG, McKinsey), where you work hand in hand with the GSI alliance owners who hold the global relationships, and (b) regional system integrators, consultancies and AI-native boutiques that ANZ enterprises and the Public Sector actually consume delivery services from. The ANZ partner book is split between you and the Head of Partnerships ANZ & ASEAN; for every partner assigned to you, you own the plan, the enablement path, the co-sell motion with our ANZ sales team and the partner-sourced, partner-influenced and partner-delivered pipeline that results from it. This is a builder role: partner-sourced pipeline in ANZ is still a small fraction of our open pipeline, and there is a first playbook but no established machine. We need someone who has taken partnerships from zero to a repeatable revenue engine in this market before, not someone who has inherited and administered an existing partner book. Key responsibilities - Partner development and execution: - Run each partner as a structured pursuit: stakeholder map (country lead, AI/data practice lead, alliance lead, key account partners), joint account plan, agreed target accounts and a quarterly cadence. - For your assigned GSI country practices: activate the ANZ teams against the global frameworks and translate them into concrete joint accounts. For your assigned regional SIs / boutiques: build the relationship from scratch (selection, onboarding into the Claude Partner Network, enablement, first joint deals). - Guide partners in building repeatable Claude offerings (Claude Code / agentic engineering rollouts, agentic use cases, enterprise adoption programs) for the priority ANZ industries: financial services and insurance, public sector, retail, energy and resources, healthcare, telco, media and tech, and digital natives. - Drive co-selling with the ANZ AEs, Applied AI and Technical Success teams: introduce partners into the right accounts, bring partner-sourced opportunities to sales, and make sure every partner-attached deal is tagged correctly in Salesforce. - Performance and KPI ownership: - Own and drive the KPIs for your portfolio: Partner delivered use-cases, partner-sourced pipeline, partner-influenced pipeline and revenue, consultants enabled and certified, partners progressing through CPN tiers, joint proposals submitted. - Establish clear success metrics with each partner and drive regular business reviews against targets - Report on partnership health, progress, and commercial outcomes with data-driven insights - Every deal that runs through your partners must be set up for customer success and expansion: agree success criteria for joint accounts, make sure the partner delivers implementation and adoption support, and feed what you learn back into our partner program and the ANZ sales team. - Market development and brand building - Represent Anthropic in the ANZ partner ecosystem — partner events, joint customer events, and partner-led marketing. - Adapt the global partner playbook to ANZ buying behaviour (a concentrated enterprise market of banks, miners, retailers and telcos, federal and state government panels, long procurement cycles, and a preference for local delivery partners) and decide deliberately what not to copy. - Navigate the regulatory and sovereignty topics that come up in almost every ANZ deal (the Australian and NZ Privacy Acts, APRA CPS 230 and CPS 234, IRAP and government security requirements, critical infrastructure rules, data residency, and regulated industries such as banking, insurance and health) together with the partner and our internal experts. - Build differentiated joint value propositions with partners so that Claude is the default recommendation of the ANZ consulting ecosystem. You may be a good fit if you have: - Builder mentality — comfortable starting from a small base and turning it into a scaled partner business; you enjoy doing the work yourself. - 7+ years of partner / alliances / channel experience with system integrators and consultancies in ANZ, ideally at a cloud, data or AI platform company. - Existing relationships in the ANZ practices of the large SIs and/or with the regional consultancies and boutiques — you know who runs the AI and data practices in Australia and New Zealand. - Data-driven, KPI-oriented and comfortable being measured on partner-sourced pipeline; a track record of driving incremental revenue through partners in ANZ. - History of protecting the customer experience and the brand through partners — you say no to partners that cannot deliver. - Competitive drive — obsessed with winning and creating differentiation - Collaborative — you work as an extension of the ANZ sales team and with Applied AI, Technical Success, partner marketing and the global GSI alliance owners. - Strong executive presence; able to run partner executive conversations and enablement sessions. - Based in Australia, ideally Sydney; Melbourne or Brisbane are feasible with regular time in Sydney. Willing to travel regularly within Australia and New Zealand, and occasionally to Europe and USA. - Passion for AI and alignment with Anthropic's mission of beneficial AI development Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Security Risk & Compliance, SOX IT
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security and control commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building continuous assurance, to challenge and evidence the performance of controls continuously rather than through periodic audits. As Anthropic scales to meet public-company standards, the Sarbanes-Oxley (SOX) control environment over our technology stack is one of the most consequential things this team will drive. Within Security GRC's technical controls assurance function, you will be a hands-on senior contributor on what the IT general controls must achieve to support SOX 404 compliance. You will work as a peer to Internal Audit's IT SOX team: Internal Audit tests independently, and you define the control requirements, monitor that controls operate, and make sure evidence is audit-ready before Internal Audit and our external auditors test it. You will pair with Engineering, Security, IT, and Finance as they design and implement against those requirements, and validate that what ships actually meets the bar. You will also work with GRC engineering to automate evidence collection and continuous monitoring, starting with ITGCs and extending into other areas of security and compliance. This role reports to the Head of Security Controls Assurance and is well suited to someone who wants to stay close to the work and change how a frontier AI company builds its compliance infrastructure. Key responsibilities - Define control requirements and acceptance criteria across the core ITGC domains of logical access, change management, operations, and program development for SOX in-scope systems, including home-built platforms where the control has to be designed into the system. - Set the bar for in-scope systems from day one. As financially significant systems are built, migrated, or replaced, define what the system must provide before go-live, and assess SDLC controls for new system implementations and changes so controls are not retrofitted after the fact. - Pressure-test changes for SOX impact during design. Review major infrastructure, system, and agent framework changes for control impact while decisions are still cheap, and keep a clear view of which changes alter the SOX scope, key control population, or evidence requirements. - Perform second-line monitoring and readiness testing. Test key ITGCs and IT automated controls (ITACs) ahead of Internal Audit and the external auditors, including walkthrough preparation and validation that populations are complete and accurate, and support the move from manual to automated control reliance. - Build continuous monitoring and evidence readiness with GRC engineering. Stand up automated evidence collection and monitoring for ITGCs, map controls to the common controls framework, and materially raise automated evidence coverage while cutting audit prep time. - Run system and process risk assessments. Identify control gaps in in-scope systems and processes, and recommend remediation that engineering owners can act on. - Drive control deficiency remediation with cross-functional partners. Track and root-cause ITGC deficiencies surfaced by monitoring, Internal Audit, or external audit; partner with engineering owners on remediation design; and assess whether remediation actually closes the gap before re-testing. - Support the external audit with Finance and Internal Audit. Prepare walkthroughs, evidence requests, and testing schedules on management's side, and keep the line clear between your monitoring and Internal Audit's independent testing. - Assess scope changes through a SOX lens. When new products, entities, systems, or integrations come into scope, assess their impact on control design, evidence requirements, and engineering effort before commitments are made. - Maintain alignment with the broader compliance portfolio. Support the controls and evidence behind SEC cybersecurity disclosure requirements. You may be a good fit if you - Thrive at the pace of a hypergrowth company. You're comfortable making calls with incomplete information and reprioritizing as scope shifts. - Have been a senior contributor to an ITGC program through SOX 404 readiness and/or at a public company, with a working command of PCAOB AS 2201, COSO 2013, and how external auditors scope, test, and evaluate technology controls and deficiencies. - Have hands-on IT audit or IT SOX experience designing, testing, and documenting controls across access management, change management, and operations. - Have hands-on engineering fluency, possibly from an earlier engineering career: you can read code and Terraform, follow a CI/CD pipeline end to end, and challenge a design on its technical merits. - Have deep familiarity with developer platforms, release engineering, cloud infrastructure, or ERP/financial systems control domains. - Are a strong collaborator and communicator across Finance, Engineering, Internal Audit, and external auditors, and can work independently on complex workstreams while keeping senior stakeholders informed. - Use Claude and other LLMs as daily working tools, and have grounded, specific views on which SOX assurance workflows AI can run today and which it can't yet. - Translate SOX and framework language into acceptance criteria engineers can build against, and translate engineering reality back into assurance language auditors and leadership can rely on. - Default to getting the requirement designed into the system rather than papering over the gap with procedure. Strong candidates may have - A combination of audit or advisory experience (Big 4 or equivalent, ideally IT audit) with in-house experience at an AI-forward tech company, in either order. - 12+ years of hands-on IT audit and SOX compliance experience. - Taken a company through a first-year SOX 404(a) and 404(b) assessment, including a first external ITGC audit. - Experience at a pre-IPO or newly public technology company. - Defined or assessed controls over home-built financially significant systems, usage-based billing, or revenue metering pipelines. - Defined or assessed controls for AI/ML systems or agents acting in production environments. - Stood up continuous controls monitoring or automated evidence programs. - Experience with SOC 1 reliance, service organization control mapping, and complementary user entity controls. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 - $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Enterprise Account Executive
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's enterprise market. You'll own the full sales cycle from prospecting to close, working with C-level executives at major Japanese corporations to help them transform their businesses with Anthropic's AI solutions. Responsibilities: - Own and exceed revenue targets by winning new enterprise accounts and expanding existing relationships across Japan - Build and execute territory plans, identifying high-value opportunities in key Japanese industries including financial services, healthcare, technology, and manufacturing - Lead consultative sales processes with C-suite and senior technical stakeholders, positioning AI as a strategic business transformation driver - Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver customized solutions for complex enterprise requirements - Identify new use cases and contribute to Japan go-to-market strategy, providing critical feedback to shape product roadmap and regional approach - Translate technical AI capabilities into compelling business value propositions tailored to Japanese market needs You may be a good fit if you have: - 8+ years of enterprise sales experience in Japan driving adoption of emerging technologies with a consultative, solutions-oriented sales approach - Native-level Japanese fluency and business-level English required - A track record of managing complex sales cycles and securing strategic deals in the Japanese market by understanding multifaceted technical requirements and crafting tailored solutions - Demonstrated ability to navigate Japanese enterprise stakeholder ecosystems, building consensus through relationship-building and providing innovative solutions to disparate groups - Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders in Japanese corporate environments - Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process - Excellent communication skills in both Japanese and English, with the ability to present confidently and build connections across all customer levels, from individual contributors to C-level executives - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player who thrives in ambiguous, startup-like environments - A strategic, analytical approach to assessing Japanese markets combined with creative, tactical execution to capture opportunities in key industries - Deep understanding of Japanese business culture, enterprise buying processes, and regulatory landscape - A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Strong candidates may have: - Experience selling emerging technologies (AI/ML, cloud platforms, or data analytics) to Japanese enterprises - Established relationships with senior executives at major Japanese corporations - Experience navigating Japanese procurement processes and working with system integrators - Understanding of AI/ML concepts and ability to discuss technical architectures What We Offer - Competitive base salary and commission structure commensurate with experience - Equity participation - Comprehensive benefits package - Hybrid work model with flexibility - Opportunity to shape the future of AI adoption in Japan - Access to cutting-edge AI technology and world-class research team Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
AI Deployment Manager, Scale
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. AI DEPLOYMENT MANAGER, SCALE We're standing up Scale ADM from first principles: an agentic, human-last motion for a large enterprise book. This is a founding seat. You'll help invent how SpaceXSI drives customer outcomes at scale across hundreds of accounts with a small team, using agents to surface risk and opportunity, and putting people where judgment still matters. RESPONSIBILITIES: - Help found and run the Scale ADM motion across a wide enterprise portfolio - Use agentic workflows to triage health, prioritize outreach, and keep human time scarce and high leverage - Drive value realization that supports retention and expansion: deepen adoption, find account whitespace, and open growth paths across the book - Amplify what already exists (marketing webinars, customer education, onboarding) and turn live learning into reusable motions without reinventing the wheel - Shape playbooks and offerings from voice of customer: tailor what we deliver based on what we hear BASIC QUALIFICATIONS: - Experience in customer success or adjacent post-sales work in a scale or digital motion PREFERRED SKILLS AND EXPERIENCE: - Product fluency (beyond developers alone) and leaning into AI: proficient today, or hungry to get there fast - Have thrived in high-velocity, multi-customer environments and like building the machine, not only running it - Energized by agents as coworkers: you design how they work - Know how to manage accounts and relationships for outcomes: find whitespace, deepen adoption, and open growth paths - Already a power user of Grok, Grok Build, Grok Bot, or Grok APIs (or modern AI tools for knowledge work and coding) with strong opinions about what great looks like (big plus) COMPENSATION AND BENEFITS: The expected annual base salary range for this role is $164,500 - $200,000. This role is also eligible for sales commissions or bonuses, with an annual on-target earnings (OTE) range of $235,000 - $280,000. OTE includes base salary plus target incentive compensation, assuming 100% achievement of applicable performance targets. Actual incentive earnings depend on performance and the terms of the applicable plan. Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
AI Policy Lead
At Scale, we believe that AI will dramatically improve the world, and our mission is to accelerate the development of AI. As Scale continues to grow its Government Relations & Policy Insights function, we are looking for an AI Policy Lead to support policy development and engagements with governments and third parties in the US and globally. The successful candidate will combine deep AI policy expertise, experience driving regulatory and policy outcomes, and the ability to connect business objectives to policy wins. You Will: - Serve as Scale’s in-house AI policy subject-matter expert - Lead the company’s development of external policy positions and product policies - Represent Scale in engagements with the US and foreign governments - Advocate on behalf of Scale’s positions in trade associations, standards development organizations, and other external fora - Assist in the formation of Scale’s government relations strategy and priorities - Lead Scale’s response to government rulemakings and requests for comment - Collaborate with the Scale Policy Lab to advance a policy-relevant research agenda - Contribute to Scale’s thought leadership on AI policy - Advise and brief executives on policies impacting artificial intelligence policy - Build relationships with relevant external stakeholders - Monitor policy and regulatory changes for potential impact to Scale’s business - Collaborate effectively with cross-functional stakeholders including Business Units, Communications, Marketing, and others. Ideally You’ll Have: - At least 8-10 years of tech policy and/or government experience - Demonstrated expertise in AI Policy, via responsibility for AI within a government agency, AI-related experience in the tech sector, publication of AI-related research, etc. - A history of working with third parties such as trade associations and think tanks - Experience engaging government officials and third-party stakeholders, ideally on behalf of a government or private-sector entity - Excellent written, verbal, and public speaking skills - A history of working in a fast-paced environment and successfully managing multiple works streams simultaneously - Ability to work cross-functionally with a high degree of autonomy Nice to haves: - Experience working in a tech company - Experience with rulemakings, requests for comment, and other regulatory submissions within government and/or the private sector - Recognized leadership in an AI-related research area - Experience working with foreign governments and/or the diplomatic community Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $164,800 - $206,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Regional Field Execution Partner, EMEA
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. The Role We're seeking a field-tested operator to serve as the dedicated execution and enablement partner for our go-to-market teams across EMEA. As part of Revenue Operations, you'll drive the region's most critical initiatives and own the enablement that helps every customer-facing team ramp faster and perform at a higher level, bringing our global programs to life locally and building region-specific ones as Fireworks scales. This role requires deep field experience as a former seller, Solutions Architect, or AI Field Engineer, and a working understanding of how GTM teams succeed across EMEA's markets. You'll work hand in hand with our global enablement partners, who own role-specific programs worldwide, and bring the regional point of view that makes those programs land. Your success will be measured in regional outcomes: time-to-first-deal and ramp compliance for new hires in EMEA, and ramped productivity across the region. Please Note: This is an individual contributor role reporting to the Head of GTM Enablement. Expect ~15–20% travel across EMEA and to the US for team events and trainings. What You'll Own - Embed in EMEA leadership and drive critical regional initiatives: Take a standing seat in EMEA leadership forums, where you'll help shape the region's go-to-market strategy alongside your RevOps counterpart. As the regional operating model evolves, you'll drive the execution of the region's most critical initiatives, whether that's a multi-quarter transformation or a fix shipped in days. - Bring global strategy and programs to life in EMEA: Partner with our global enablement partners to adapt each segment's strategy and programs for the region, so every EMEA team gets what works globally, tuned to how it sells locally. Then close the loop by bringing what you see in the field back to shape the next round of global programs. - Design and deliver EMEA-specific enablement: Build and run the trainings that only the region needs, from local market and buyer dynamics to data residency and regulatory topics like GDPR and the EU AI Act. You'll set the regional enablement calendar and make sure it runs alongside, not on top of, the global one. - Own ramp outcomes for new hires in EMEA: Pick up where global onboarding leaves off, guiding every new hire in the region through their first months in the field so they ramp just as consistently as their US peers. You'll be measured on time-to-first-deal and new hire ramp compliance across EMEA. - Surface and scale EMEA best practices: Pinpoint what top performers across the region do differently through call reviews, field conversations, and performance data. Then scale those patterns across EMEA, and share what works with our global enablement partners so the rest of the world benefits too. Minimum Qualifications - 8+ years of experience, including significant time in a customer-facing GTM role (Account Executive, Solutions Architect, AI Field Engineer, or similar) - Experience enabling multiple GTM roles across EMEA markets, with a strong sense of how buying and selling differ across the region - Working fluency in AI/ML or developer infrastructure, and the credibility to coach both sellers and technical pre-sales teams - A track record of driving change across a team, with the rigor to define, track, and act on the metrics that prove it worked - Strong at both content development and live facilitation, from new-hire cohorts to experienced practitioners - Has personally built AI agents or apps, through prompting, no-code, low-code, or code, to drive seller or operational productivity (engineering degree not required) - Thrives in ambiguity, high ownership, and the pace of a high-growth startup - Based in EMEA and willing to travel ~15–20% Preferred Qualifications - Experience as a first- or second-line leader of a regional GTM team, or as Chief of Staff to a regional GTM leader - GTM experience at an AI/ML infrastructure, developer tools, or API-first and consumption-based business, with literacy in usage-based pricing models - Prior ownership of onboarding, ramp, or enablement programs in a matrixed global organization - Working proficiency in a second European language - Familiarity with modern enablement tooling and systems (LMS, CMS, CRM, conversation intelligence) Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Sr. Software Engineer, ML Platform
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. SR. SOFTWARE ENGINEER, ML PLATFORM As a Software Engineer on ML Platform at SpaceXSI, you'll build the infrastructure that turns real product usage into better models, and keeps research moving fast on large GPU fleets. ML Platform is organized into four teams. Depending on your background, you may join any of them. We're looking for strong distributed-systems and infrastructure engineers who want to sit next to research and ship platform primitives that move the product. RESPONSIBILITIES: - Design, build, and operate core platform systems used daily by ML researchers and product engineers - Partner closely with research to turn recurring pain into durable infrastructure - Own reliability, performance, and developer experience for the systems in your lane - Ship iteratively in a flat, high-ownership environment. Measure impact, then raise the bar BASIC QUALIFICATIONS: - Bachelor's, Master's, or PhD in computer science, machine learning, or another quantitative discipline; OR equivalent work experience - 5+ years of industry experience working with production distributed systems (e.g., infrastructure, ingestion, data pipelines, or scheduling/orchestration, etc.) PREFERRED SKILLS AND EXPERIENCE: - Experience owning production distributed systems at meaningful scale (ingestion, data pipelines, scheduling/orchestration, or similar) - Experience partnering and building platforms for ML researchers and product engineers - Thrive where ownership is high and the feedback loop is short - Telemetry: event ingestion, product analytics pipelines, OpenTelemetry / tracing, reliable data APIs - Product Data Platform: data frameworks, Spark / Flink / Ray, ML dataset and training-data infrastructure - Observability: experiment / run monitoring, debug and eval tooling, agent-friendly observability UX - ML DevX and Systems: GPU / cluster scheduling, job queues, node health, research compute developer experience ADDITIONAL REQUIREMENTS: - We're in-person with cozy offices in North Beach, San Francisco, Palo Alto, and Manhattan, New York, complete with well-stocked libraries - If there appears to be a fit, we'll reach out to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team COMPENSATION AND BENEFITS: The annual compensation range for this role is listed below. Annual Salary: $180,000 - $330,000 USD Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
Software Engineer, ML Platform
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. SOFTWARE ENGINEER, ML PLATFORM As a Software Engineer on ML Platform at SpaceXSI, you'll build the infrastructure that turns real product usage into better models, and keeps research moving fast on large GPU fleets. ML Platform is organized into four teams. Depending on your background, you may join any of them. We're looking for strong distributed-systems and infrastructure engineers who want to sit next to research and ship platform primitives that move the product. RESPONSIBILITIES: - Design, build, and operate core platform systems used daily by ML researchers and product engineers - Partner closely with research to turn recurring pain into durable infrastructure - Own reliability, performance, and developer experience for the systems in your lane - Ship iteratively in a flat, high-ownership environment. Measure impact, then raise the bar BASIC QUALIFICATIONS: - Bachelor's, Master's, or PhD in computer science, machine learning, or another quantitative discipline; OR equivalent work experience - 5+ years of industry experience working with production distributed systems (e.g., infrastructure, ingestion, data pipelines, or scheduling/orchestration, etc.) PREFERRED SKILLS AND EXPERIENCE: - Experience owning production distributed systems at meaningful scale (ingestion, data pipelines, scheduling/orchestration, or similar) - Experience partnering and building platforms for ML researchers and product engineers - Thrive where ownership is high and the feedback loop is short - Telemetry: event ingestion, product analytics pipelines, OpenTelemetry / tracing, reliable data APIs - Product Data Platform: data frameworks, Spark / Flink / Ray, ML dataset and training-data infrastructure - Observability: experiment / run monitoring, debug and eval tooling, agent-friendly observability UX - ML DevX and Systems: GPU / cluster scheduling, job queues, node health, research compute developer experience ADDITIONAL REQUIREMENTS: - We're in-person with cozy offices in North Beach, San Francisco, Palo Alto, and Manhattan, New York, complete with well-stocked libraries - If there appears to be a fit, we'll reach out to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team COMPENSATION AND BENEFITS: The annual compensation range for this role is listed below. Annual Salary: $140,000 - $225,000 USD Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
Regional Director, AI Deployment
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. REGIONAL DIRECTOR, AI DEPLOYMENT As Regional Director, AI Deployment at SpaceXSI, you'll lead and develop a team of AI Deployment Managers supporting some of our most strategic enterprise customers. This role exists to scale adoption quality and consistency as demand accelerates, translating SpaceXSI's momentum into repeatable, high-impact deployment outcomes while preserving the speed, flexibility, and developer-first ethos that make SpaceXSI successful. You'll own the post-sale experience for our enterprise segment, working closely with Sales and Field Engineering to ensure customers achieve measurable engineering and business value from SpaceXSI. This is a highly cross-functional role that sits at the intersection of customer success, technical depth, and strategic leadership. RESPONSIBILITIES: - Hire, lead, and develop a team of AI Deployment, including onboarding, coaching, performance management, and ongoing skill development - Own post-sale account planning, with accountability for account health, usage, risk mitigation, and expansion pipeline generation - Act as an escalation point for complex deployments and high-stakes enterprise accounts; build lightweight, scalable processes that codify what works while preserving speed, flexibility, and low friction - Guide best practices around rollout strategy, prompt design, context configuration, and internal enablement - Partner closely with Sales and Field Engineering to deliver a seamless post-sale experience and support expansion opportunities - Collaborate with Product, Engineering, and Marketing to advocate for customer needs, influence roadmap priorities, and drive product adoption BASIC QUALIFICATIONS: - 4+ years of experience leading customer-facing technical teams in TAM, Solutions, Deployment, or similar roles - Experience owning post-sale retention or renewal outcomes for enterprise software or AI platform customers PREFERRED SKILLS AND EXPERIENCE: - Experience managing ADM, TAM, or CSM teams for developer tools, DevOps, or AI/ML platforms - Familiarity with software development lifecycles and enterprise AI: AI coding tools, AI agents, and LLM APIs - Experience presenting adoption and ROI results to VP Engineering, CTO, CIO, and line-of-business buyers - A high-agency, scrappy operator who thrives in fast-moving, ambiguous environments - Care deeply about AI and believe that transforming how software is written is one of the most important problems to work on right now ADDITIONAL REQUIREMENTS: - Must be willing to travel to customer sites as needed COMPENSATION AND BENEFITS: The expected annual base salary range for this role is $245,000 - $280,000. This role is also eligible for sales commissions or bonuses, with an annual on-target earnings (OTE) range of $350,000 - $400,000. OTE includes base salary plus target incentive compensation, assuming 100% achievement of applicable performance targets. Actual incentive earnings depend on performance and the terms of the applicable plan. Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
Model Engineer
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. Model Engineer SpaceXSI is building Super Intelligence to help humanity understand the universe. We train frontier coding agents and scale RL on real user data to make them increasingly effective. We're looking for Research Scientists who can drive effective RL or mid-training research in a small-team setting. You'll own ambiguous, hard research problems end-to-end: forming hypotheses, designing experiments, building the training/eval/data needed to test them, and pushing results into the next model. RESPONSIBILITIES: - Design and run rigorous experiments that turn research ideas into measurable gains in model capability - Improve data recipes through data quality, deduplication, and mixture experiments - Define what makes RL data and rewards good, including grader design and preventing reward hacking - Advance training science, from architecture and scaling experiments to post-training recipes for coding and computer-use agents - Build evals and targeted tasks that expose model weaknesses and guide where the team invests next - Partner with engineers to take promising results from small experiments to frontier-scale training runs BASIC QUALIFICATIONS: - Experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++ PREFERRED SKILLS AND EXPERIENCE: - Able to handle ambiguous research tasks with little guidance, and to own a research direction end to end - Care an unusual amount about data quality, and can dive into the data when appropriate - Truth seeking, aiming to learn more about the science than to prove your ideas are correct - Experience with RL algorithms for language models, scaling laws, or building RL environments and evals - Experience with distributed training at scale and debugging problems that only show up at scale - Experience training frontier-scale models - Strong background in RL and machine learning fundamentals - An excellent programmer and software engineer, comfortable working across the research stack in Python and PyTorch or JAX - Hands-on experience training large models, through pretraining, post-training or RL - A track record of original work in ML, such as new methods or real improvements, shown through research, open source or production impact - MS or PhD in CS, ML, math, physics or a related field, or equivalent research experience ADDITIONAL REQUIREMENTS: - Onsite role: must be able to work in person at the Palo Alto office COMPENSATION AND BENEFITS: The annual compensation range for this role is listed below. Annual Salary: $160,000 - $250,000 USD Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
Applied AI Engineer, Large Enterprise
About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Production-ready deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in Munich/Berlin. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: - Partner directly with enterprise and digital native customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. - Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. - Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators. - Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. - Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution. - Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact. - Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback. - Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments. You’ll thrive in this role if you: - Have a demonstrated track record of 5+ years of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, product engineering or technical consulting. - Are fluent in both German and English - Can point to substantial personal contributions in code, architecture, evaluation, debugging, or engineering of production systems—not only program or stakeholder management. - Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable. - Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment. - Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost. - Can connect technical decisions to customer workflows, adoption, and measurable business outcomes. - Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives. - Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments. - Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Adoption Specialist - Infrastructure & Agentic
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role? This role is the critical bridge that amplifies Cohere’s ability to execute from its deployed engineering teams into the partner ecosystem at scale. You will be the single point of influence who takes the high quality of our engineering delivery and extends it outward, ensuring that system integrator partners can deliver Cohere solutions with the same rigor, reliability, and innovation as our internal teams. As an Adoption Specialist, you will design, build, maintain, and deliver certification programs that validate partner expertise across infrastructure and agentic domains. You will report functionally into Customer Education & Transformation, with a dotted line into the Forward Deployed Engineering teams (Infrastructure and agentic), ensuring that every certification, every training program, and every competency standard reflects the latest innovation and the highest standards of delivery. We are seeking a unique individual: someone who is customer obsessed, has a background in infrastructure engineering with the technical grit and expertise to be a de facto member of the deployed engineering teams, while also bringing commercial acumen to scale these capabilities across the partner ecosystem. You will be the conduit between our internal engineering excellence and the broader market, and you will be the face of this program in front of partner networks and communities. In this role, you will: - Design, build, and maintain certification programs for system integrator partners across both infrastructure and agentic tracks, ensuring they reflect current technical realities and future innovation. This includes train-the-trainer programs with key system integrators that can certify on our behalf. - Develop deep subject matter expertise in end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. As well as assess infrastructure, security requirements, and data management practices. - Develop deep subject matter expertise in applied AI across the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows - Collaborate with Forward Deployed Engineering teams on a dotted line basis to ensure certification content stays current with product innovation and hands-on development. - Collaborate with Product to ensure requirements are adapted into the core product. - Create dynamic training programs and enablement assets that drive self-service enablement and partner competency, building educational content specifically for developers. - Deliver the certification and education program publicly, serving as the face of this initiative to partner networks, partner communities, and customer communities, with the exposure and visibility that comes with representing Cohere’s technical excellence externally. You may be a good fit if your experience covers the following areas: - Execution flexibility in fast-paced environments, with the ability to work across infrastructure, and agentic areas. - Infrastructure and cloud expertise including enterprise software deployment in private/hybrid cloud environments, production Kubernetes administration, Helm, DevOps practices, CI/CD pipelines, and version control. - Agentic and LLM stack expertise encompassing production-grade Python software development, RAG and agentic applications using patterns like ReAct or Plan-and-Execute, and robust evaluation framework design. - Developer relations and community engagement, including public speaking, presenting, with a natural comfort with visibility and being the face of technical initiatives. - Experience building enablement or education content specifically for developers. Full-Time Employees at Cohere enjoy these Perks: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form , and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.
Product Enablement Lead
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. The Role We're seeking a technically credible program leader to own the last mile of new product introductions at Fireworks. Traditional alpha-to-GA launch cycles are too slow for how fast AI moves, so you'll enable the field on primitives (the early building blocks we ship before GA polish), giving sellers enough to take new capabilities to customers and deliver value early, then building out proof points and assets as each product matures. As part of Revenue Operations, you'll help Product and Product Marketing frame their expertise for the field, and deliver it in step with how our customer-facing teams already operate. This role requires credibility with technical buyers and the teams who sell to them, paired with the program discipline to turn a constant stream of launches into a predictable rhythm. Your success will be measured in field behavior: readiness by launch day and certification on major launches. Please Note: This is an individual contributor role reporting to the Head of GTM Enablement. Expect ~15–20% travel for launches, team events, and trainings. What You'll Own - Enable the field on primitives, not just finished launches: Get sellers ready to take new models, features, and platform changes to customers as soon as they ship, then deepen that readiness as proof points and assets mature. You'll bring Product and Product Marketing together around a repeatable process for primitives, so every early release reaches the field with a clear point of view on how to position it. - Make every launch easy for the field to digest: Help our subject matter experts in Product and Product Marketing turn their launch content into something every customer-facing team can quickly absorb and use. The goal is for every talk track, demo, and play to land as a customer problem solved, not just a feature shipped. - Build an AI-native way to deliver product knowledge: Create the agents and workflows that become the field's go-to source for product updates, letting sellers pull what they need on our latest capabilities in the moment rather than waiting on announcements. The field should know where to look, trust what they find, and never miss a change that affects their deals. - Lead launch training for the field: When a launch needs more than an announcement, pull the field together for live product and technical training that gets every role up to speed fast. Your focus is the initial rollout, giving our role-specific enablement partners a strong foundation to build deeper training for their teams. - Support programs that bring the field's voice to Product: Support the programs that help sellers share what they hear from customers directly with Product and Product Marketing. The aim is a steady flow of field insight that sharpens each launch, not a single point that everything has to pass through. Minimum Qualifications - 8+ years of experience in technical product marketing, product enablement, or GTM enablement, working on products sold to technical buyers - The technical credibility to explain AI/ML, developer infrastructure, or cloud concepts (such as inference, fine-tuning, and serverless deployment) to sellers and hold your own with technical buyers (coding not required) - Strong program management skills, with a track record of running multiple launches or cross-functional programs in parallel with clear owners, timelines, and follow-through - Comfortable shipping enablement on primitives, with a track record of equipping teams to sell early-stage or fast-changing products and refining as those products mature - A proven ability to turn complex products into simple, customer-centric messaging and training that changes how teams sell - Strong at both content development and live facilitation, for technical and non-technical audiences alike - Has personally built AI agents or apps, through prompting, no-code, low-code, or code, to drive seller or operational productivity (engineering degree not required) - Thrives in ambiguity, high ownership, and the pace of a high-growth startup - Based in the US and willing to travel ~15–20% Preferred Qualifications - GTM experience at an AI/ML infrastructure, developer tools, or API-first and consumption-based business - Prior experience in a technical pre-sales role, such as Solutions Engineer or Solutions Architect - Familiarity with value-based sales methodologies such as Command of the Message or MEDDICC - Familiarity with modern enablement tooling and systems (LMS, CMS, CRM, conversation intelligence) Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Sr. Model Engineer
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. Sr. Model Engineer SpaceXSI is building Super Intelligence to help humanity understand the universe. We train frontier coding agents and scale RL on real user data to make them increasingly effective. We're looking for Research Scientists who can drive effective RL or mid-training research in a small-team setting. You'll own ambiguous, hard research problems end-to-end: forming hypotheses, designing experiments, building the training/eval/data needed to test them, and pushing results into the next model. RESPONSIBILITIES: - Design and run rigorous experiments that turn research ideas into measurable gains in model capability - Improve data recipes through data quality, deduplication, and mixture experiments - Define what makes RL data and rewards good, including grader design and preventing reward hacking - Advance training science, from architecture and scaling experiments to post-training recipes for coding and computer-use agents - Build evals and targeted tasks that expose model weaknesses and guide where the team invests next - Partner with engineers to take promising results from small experiments to frontier-scale training runs BASIC QUALIFICATIONS: - 3+ years of hands-on experience training or post-training large neural networks (1B+ parameters), including work on pre-training, fine-tuning, or RL-based methods (e.g., RLHF, DPO). - Experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++ PREFERRED SKILLS AND EXPERIENCE: - Able to handle ambiguous research tasks with little guidance, and to own a research direction end to end - Care an unusual amount about data quality, and can dive into the data when appropriate - Truth seeking, aiming to learn more about the science than to prove your ideas are correct - Experience with RL algorithms for language models, scaling laws, or building RL environments and evals - Experience with distributed training at scale and debugging problems that only show up at scale - Experience training frontier-scale models - Strong background in RL and machine learning fundamentals - An excellent programmer and software engineer, comfortable working across the research stack in Python and PyTorch or JAX - Hands-on experience training large models, through pretraining, post-training or RL - A track record of original work in ML, such as new methods or real improvements, shown through research, open source or production impact - MS or PhD in CS, ML, math, physics or a related field, or equivalent research experience ADDITIONAL REQUIREMENTS: - Onsite role: must be able to work in person at the Palo Alto office COMPENSATION AND BENEFITS: The annual compensation range for this role is listed below. Annual Salary: $220,000 - $357,000 USD Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
Staff+ Software Engineer, Safeguards Evals
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role How do we know whether a model is safe - and how do we know whether the systems we built to catch misuse actually catch it? Anthropic answers both questions with evaluations. We measure model behavior across misuse, prompt injection, and user well-being to inform training and deployment decisions. We also use AI to investigate potential misuse of Claude, analyzing real-world traffic to surface bad actors and emerging threats that drive enforcement actions. Neither is worth much unless the evaluations behind them are representative, robust, and trustworthy. This role builds the methods and infrastructure that make them so. Sitting at the intersection of applied ML research and engineering, you'll design experiments to improve how we evaluate both model behavior and the agentic systems that govern it, build datasets that represent real abuse rather than clean approximations of it, and ship those methods into the pipelines that gate model training, agent changes, and launch decisions. Responsibilities Evaluation research and methodology. Design and run experiments to improve evaluation quality — developing methods to generate representative test data, simulate realistic user behavior, and validate grading accuracy. Research how different factors (multi-turn conversations, tools, long context, user diversity) impact model safety behavior. Analyze evaluation coverage to identify measurement gaps, and evolve evals so they remain unsaturated and high-signal as model and agent capabilities advance. Agentic investigation evals. Build and own the evaluation harness for an agentic investigation system — defining metrics, test cases, and grading approaches for a complex, long-horizon agent. Measure agent performance end-to-end (detection precision and recall, investigation quality, robustness) and drive hill-climbing on the hardest harm areas. Construct RL environments to improve Claude's safety investigation capabilities. Datasets grounded in real harm. Construct high-quality eval datasets representing real-world misuse across harm areas such as cyber attacks, bio weapons, and influence operations, drawing from both real traffic patterns and synthetic generation. Collaborate with Policy and Enforcement to translate observed harm patterns into measurable evaluations. Productionization and tooling. Ship successful research into evaluation, regression, and release pipelines that run during model training, on every agent change, prompt update, and underlying model upgrade, and beyond launch. Build tooling that enables policy experts to author, run, and iterate on evaluations without engineering support. Surface findings to research and training teams to drive upstream model improvements. Minimum qualifications - Experience building and maintaining data pipelines - Experience working with LLMs and a working understanding of their capabilities and failure modes — especially agentic systems with tool use and multi-step reasoning - Strong data analysis skills — you can draw reliable insights from large datasets - Ability to move fluidly between research prototyping and production-quality code - Ability to translate ambiguous problems into concrete, testable experiments - Care deeply about AI safety and want your work to have real impact Preferred qualifications - 8+ years of industry software engineering or ML engineering experience - Expertise in building or contributing to LLM or agent evaluation frameworks, benchmarks, or automated grading systems - Extensive experience in trust and safety, content moderation, or abuse detection systems - Experience in red teaming, adversarial testing, or jailbreak research on AI systems - Experience with synthetic data generation or data augmentation - Experience with distributed systems or large-scale data processing - Experience with prompt engineering or building LLM-powered applications The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Research Scientist, Discovery (Engineering & Appli...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Research Scientist, Discovery (Engineering & Applied Sciences) About the Team Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific and technological frontier. About the role On the Discovery team at Anthropic, we're expanding our work on engineering and the applied sciences. Our goal is to contribute to training Claude to invent, design, and engineer across every discipline and scale, reliably and safely: new manufacturing and experimental techniques, processes, materials, devices, instruments, machines, energy systems, and factories. We want this work to accelerate science and technology and benefit people widely. To achieve these goals, we're seeking exceptional machine learning researchers with deep expertise in training and evaluating frontier models. In this role, you'll work end to end across the model stack, developing training environments, rewards, data, and evaluations that measure and improve Claude's performance on complex engineering and scientific tasks, and carrying what works into production training runs. You'll collaborate closely with researchers, engineers, and partners across Anthropic and industry to build AI systems that can engage in all phases of research and development, and that learn from real-world feedback. A background in engineering or the sciences is a plus but not required. Key responsibilities - Design, build, and study reinforcement learning environments, rewards, and training data that improve Claude's capabilities in engineering and the applied sciences - Create benchmarks and evaluation frameworks that measure model performance on realistic engineering and scientific workflows - Develop simulation-based training environments and verifiers, working with domain experts to validate them against real-world data - Develop approaches to long-horizon task completion, multi-agent collaboration, and complex reasoning essential for real engineering and research work - Research how models can learn efficiently from experiments and real-world feedback. - Study how environments and rewards behave in large-scale training, including robustness, calibration, and generalization, so that training produces models that are both capable and well aligned - Scale research ideas from prototype to production training runs - Collaborate with domain experts and industry partners to build and test what Claude invents, designs, and engineers, and turn that feedback into training and evaluation signal - Help chart how Claude’s engineering capabilities reach real-world use: where they matter most, what stands in the way of adoption, and how that should shape research priorities You may be a good fit if you have: - Proficiency in Python and hands-on experience with a modern machine learning framework such as PyTorch or JAX - Hands-on experience training or evaluating machine learning models - Track record of machine learning research: forming hypotheses, designing and running experiments, and drawing sound conclusions from the results - Ability to implement your own research ideas and diagnose problems in complex systems - Ability to learn unfamiliar technical fields quickly and work productively with experts in them - Clear communication and a collaborative approach to solving problems - Excitement about improving Claude’s scientific capabilities and the downstream impact on science and technology - Commitment to developing AI that is safe and beneficial Strong candidates may also have: - Experience with reinforcement learning and pre-training on large language models, including environment and reward design - Familiarity with large-scale language model training, evaluation, and inference pipelines - Published research or practical experience in AI for science or engineering, or in long-horizon reasoning - A degree or work experience in an engineering or applied science discipline, such as mechanical, electrical, materials, chemical, aerospace, systems, or manufacturing engineering, applied physics, or computational simulation - Experience building simulators, surrogate models, or simulation-based environments and verifiers, and calibrating and validating them against real-world data - Experience with large-scale data pipelines and technical or multimodal datasets - Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 - $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Applied AI Engineer (Tech Lead)
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job: Technical Lead, Applied AI Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings. As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision. What you will do - Deliver as an IC the critical lines of codes of our complex projects , you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers , providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales , translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI system s, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI , evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle. About you - You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field. - You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions. - You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation. - You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale. - You are proficient in Python, PyTorch , and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus. - You have strong software engineering skills , including API design, backend/full-stack development, and system architecture. - You excel in technical communication , with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers. - You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent. Ideally, you have: - Contributed to open-source projects, particularly in the LLM or AI space. - Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption. - A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities. Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Senior Software Development Engineer in Test, ML
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. At PlayStation, we're passionate about both partnership and technology. We care about building performant products and powerful tools, solving practical problems in delightful ways. We love building the systems that millions of people use, and we're always our own first customers and critics. We strive to be at the forefront of development technologies and celebrate our diversity with engineering teams located on four continents from all walks of life. We build our teams to be places where every voice is heard, all input is valued, and our members have the creative freedom to make their ideas real. Sr Software Development Engineer in Test , ML Locations: Madison, WI and Waterloo, Ontario Canada P layStation is seeking a Sr Software Development Engineer in Test, ML to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner closely with ML engineers, software engineers, product managers, and data partners to build scalable test automation and validation approaches for systems serving PlayStation at global scale. This role is focused on building confidence in model reliability, production readiness, and behavioral consistency. Unlike traditional software backend testing, success here requires validating probabilistic systems through score distributions, cohort-level behavior, thresholds, and statistical signals, not just deterministic pass/fail assertions. Responsibilities: - Drive architecture-level automation solutions and scalable quality engineering practices across multiple teams and product areas. - Design, develop, and maintain automated test frameworks, test scripts for ML inference services and related ML platform components using python/Java - Build and automate realistic, representative test account creations and datasets to evaluate model behavior across different scenarios - Validate score distributions, ranking behavior, output quality, and other model signals for incoming ML models prior to release - Perform different types of testing, including functional, integration, regression and API testing working with RESTful APIs, microservices and databases, and non-functional performance and load testing to verify inference service scalability, latency requirements and reliability under production like conditions - Work closely with ML engineers and ops teams to ensure that all features and bug fixes come with automated test coverage, ensuring continuous integration and deployment - Debug and analyze test failures, model anomalies and report defects - Drive high standards of quality for both engineering decisions and customer-facing features with optimal test and automation strategy - Develop and implement best practices for test automation that is highly scalable and maintainable - Monitor test execution and optimize performance in test environments - Come up with innovative solutions to organizational problems Required Qualifications: - A Bachelor's degree in Computer Science or related field - Minimum 5 years of experience as an SDET, with strong experience testing backend systems. - Proficiency in Python/Java/Scala/go for test automation. - Hands-on experience with API testing tools (e.g., Postman or similar) for distributed systems - Familiarity with CI/CD pipelines and test execution in Jenkins or similar environments such as jenkins, GitHub Actions, ArgoCD, etc - Hands-on experience building and maintaining automated test frameworks (e.g., pytest, JUnit, TestNG, etc.)Experience in working with databases for backend validation. - Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker, etc.) - Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, etc.) for validating service health - Strong understanding of software development lifecycle (SDLC) and agile methodologies. - Excellent problem-solving skills and excellent communication skills. Preferred Qualifications: - Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems. - Experience creating synthetic or seeded test data to simulate realistic customer/account behaviors. - Experience evaluating model outputs using statistical techniques, distribution analysis, or scenario-based validation, rather than deterministic assertions. - Knowledge of data pipelines, feature stores, inference systems or model-serving infrastructure (Seldon, KServe, Ray Serve, etc.) is a plus. - Experience with performance and load testing tools - Experience with Databricks or similar ML platform tooling - Experience architecting and optimizing CI/CD pipelines, quality gates, and release validation systems using Jenkins or similar platforms. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. The estimated Ontario base pay range for this role is listed below. $114,000 - $143,000 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Data Scientist, FX Quantitative Research
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Data Science at Stripe is a vibrant community where data scientists and data analysts learn and grow together. The Treasury Finance Data Science team builds the models, risk frameworks, and decision tools behind how Stripe manages money at global scale: liquidity, funding, counterparty risk, and foreign exchange. Stripe moves funds across 135+ currencies every day. That creates FX exposure from merchant flows, multi-currency balances, and entity funding. In this role, you'll be a thought partner and builder alongside Stripe's FX team. Together you'll develop the quantitative foundation for how Stripe measures, forecasts, and hedges FX exposure. What you'll do You'll be the senior quantitative lead for FX within Treasury Finance Data Science. You'll co-build with Treasury, the FX hedging team, Finance, and Engineering: shaping the research agenda, turning ideas into rigorous models, and building the systems that put those models to work. Data Science owns these systems. They produce the decision-critical outputs and analyses that the FX team and Treasury leadership rely on. This is a hands-on role. You'll design the methodology, write the code, and ship it into production. Responsibilities - Partner with the FX team to build and evolve FX risk measurement: exposure aggregation across entities and currencies, VaR / Expected Shortfall, stress testing, and scenario analysis - Develop forecasting models for FX exposures and multi-currency cash flows. Quantify forecast uncertainty so it can inform hedge sizing and timing. - Co-design hedge optimization and decision frameworks with the FX team that weigh hedge cost, residual risk, P&L volatility, and liquidity constraints - Build ML and statistical systems for trading and risk (signal research, anomaly detection on flows, execution and cost analytics), and take them from prototype to production - Own the production systems that generate decision-critical FX outputs, partnering with Engineering on reliability, SLAs, monitoring, alerting, and incident response for risk-critical workflows - Partner deeply with Treasury Finance stakeholders to turn business questions into quantitative frameworks. Anticipate needs and help shape FX risk strategy rather than reacting to requests. - Produce clear, trusted analyses and reporting that inform Treasury and Finance leadership decisions, including leadership-level reporting such as MBRs and QBRs - Use AI tools (code assistants, LLM-based agents) to speed up modeling, analysis, and automation, while maintaining rigor, validation, and auditability - Raise the technical bar for FX quantitative work within Data Science: methodology standards, model validation, documentation, and mentoring other data scientists Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - BS/BA with 8+ years, MS/MA with 6+ years, or PhD with 3+ years of full-time experience in quantitative finance, risk modeling, quantitative research, or data science - Hands-on quantitative experience at a bank, asset manager, hedge fund, trading firm, or similar financial institution, with direct exposure to FX, rates, or market risk - Strong foundation in statistics, probability, and time-series modeling, plus working knowledge of risk measures (VaR, Expected Shortfall, stress testing) and hedging instruments (forwards, swaps, options) - Proficiency in Python and SQL. You write production-quality code, not just research scripts. - Experience taking models or analytical systems from research into production - Business acumen and the ability to turn complex analyses into clear, decision-ready insights - Ability to clearly communicate results and drive impact with cross-functional partners, including senior non-technical stakeholders - Ability to manage multiple projects at once, with strong attention to detail - Experience using AI tools to speed up modeling, analysis, and coding Preferred qualifications - MS or PhD in a quantitative field (e.g., Quantitative / Mathematical Finance, Financial Engineering, Statistics, Mathematics, Physics, Computer Science, Economics, Operations Research) - Applied machine learning experience in trading or risk (e.g., forecasting, execution analytics, signal research, anomaly detection) - Experience with corporate treasury or balance-sheet FX: multi-entity exposure management, hedge programs, and treasury concepts such as liquidity, funding, and cash positioning - Experience building risk or decision systems with engineering standards: code review, testing, monitoring, and defined SLAs - Experience with distributed data tools (e.g., Spark) and workflow orchestration (e.g., Airflow, Flyte) - Prior experience at a growth-stage internet, fintech, or payments company - Experience creating leadership-level reporting, such as QBRs and MBRs - A builder's mindset, with a willingness to question assumptions and conventional wisdom - Interest in how data products enable automated and agentic workflows, and an understanding that model and data quality determine the reliability of every downstream decision
Staff Software Engineer - Backend (Consumer - Agen...
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” Learn more about working at Coinbase . We're hiring a Staff Software Engineer to join the Coinbase Advisor team within the Consumer & Business group. Coinbase Advisor is the world's first RIA-licensed agentic trading system: an AI advisor living inside the Coinbase app that holds a natural conversation about a user's portfolio, gives personalized financial advice, and executes trades on their behalf. This role is primarily backend on a full-stack team. You'll own the services that make agentic trading feel fast, clear, and trustworthy for millions of customers. What you'll do: - Own backend services powering Coinbase Advisor and Strategies, from technical design through launch and ongoing operation - Build integrations with Coinbase's trading APIs so agent recommendations and user-configured strategies translate into correct, auditable execution - Develop our agentic harness, including tool calling, orchestration, persistent state, and recovery from failed or partially completed actions - Shape agent behavior through prompt engineering, evals, and conversation analysis, partnering with our registered investment adviser on changes to financial advice - Improve service reliability, latency, observability, and execution safety, including retry behavior and safeguards against duplicate actions - Partner with frontend engineering, product, design, trading infrastructure, and legal/compliance to ship customer-facing capabilities within regulatory guardrails Required Skills and Experience: - 5+ years of professional software engineering experience, with deep backend expertise and a track record of shipping and operating production services - Strong experience with API design, distributed systems, data modeling, testing, and debugging production failures - Proficiency in Go or demonstrated ability to learn it quickly - Experience building production LLM or agentic systems, including tool calling, orchestration, or evaluation - Proven ability to take ambiguous projects from zero to production with minimal oversight and sound product and technical judgment - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Position ID: P79041 Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $218,025 - $256,500 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .
Staff Software Engineer, Frontend/Mobile (Consumer...
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” Learn more about working at Coinbase . We're hiring a Staff Software Engineer to join Coinbase's Consumer Agentic Finance team. We're building the most trusted financial agent on the most trusted financial exchange: one agent that watches a user's money and the markets, answers any question about their portfolio and trades on their behalf. As the team's frontend technical lead, you'll set the direction for every interface that brings it to users. What you'll do: - Own frontend experiences for the user's agent end to end across mobile and web, including the conversational interface, the trading ideas experience and the entry points that bring users to their agent from across the app - Build real-time, streaming interfaces for AI-driven advice, one-tap trade approvals and autonomous execution that keeps the agent's reasoning legible - Set frontend architecture and technical direction across our agentic surfaces (streaming state, real-time market data and conversational UX), and raise the bar through design reviews, standards and mentorship - Shape agent behavior directly through prompt engineering, evals and conversation analysis - Partner with design, backend engineering and our registered investment adviser to take features from concept to launch inside regulatory guardrails Required Skills and Experience: - 8+ years of professional engineering experience shipping consumer-facing products at scale - Expert-level mobile experience in React Native and native iOS (Swift) or Android (Kotlin) development (experience across both platforms a plus) and proficiency in TypeScript and React - Demonstrated technical leadership of frontend architecture across multiple product areas or a platform, including state management, API integration patterns and performance work that measurably improved latency or reliability, while guiding other engineers through it - Experience building with LLMs in production: agentic systems, tool calling, streaming responses or conversational interfaces - Proven track record driving projects from zero to production with minimal oversight, owning both product and technical decisions - Backend experience (Go preferred) and familiarity with crypto, trading or financial products are a plus - Obsessed with figuring out how you can improve your productivity and code quality leveraging the latest AI-driven coding best practices Position ID: P79042 Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision). Annual base salary range (excluding equity and bonus): $217,900 - $217,900 CAD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .
Writer
Perplexity is revolutionizing search. We are seeking a Writer to join our team and work closely with Growth, Enterprise, Support, and Product. You will lead our content strategy, development, and copywriting. We want to create a brand that — if you want to build the foundation of content from 0 to 1, have a passion for AI, and love writing, this role is for you. Responsibilities - Create exceptional and captivating content across Consumer and Enterprise use cases, including email copy, social media posts, in-product copy, support pages, FAQs, video scripts, case studies, white papers, outbound emails, onboarding guides, and blog posts - Develop a unique voice and tone for written content at Perplexity that drives word-of-mouth growth and builds an engaged following - Identify content opportunities and novel ways to engage with our user base by leveraging user generated content in Perplexity and testimonials across social media - Synthesize complex AI-related topics and feature releases into understandable and digestible copy for a non-technical audience - Manage content calendars for external communication across email, newsletter, and social media - Track content performance via Google Analytics and internal data; analyze and optimize engagement metrics of your content - Work closely with our Design and Brand teams to adhere to current guidelines Qualifications - 4+ years of content writing and strategy experience, ideally at a consumer technology brand - World-class writing, editing, and proofreading skills with a unique voice and tone - Extreme attention to detail paired without sacrificing fast-paced execution - 0-to-1 development of B2B content marketing, newsletters, blogs, and company content - Experience with international brands and multiple languages
Web Designer
About the role We're looking for a Web Designer to own the design of Perplexity's marketing and landing pages. You'll be the person who makes sure every page we ship looks and feels like it belongs to one of the most exciting AI products in the world — clear, beautiful, and fast. You're a great designer first and foremost, with the visual taste to set the bar for our web presence. But you also understand how modern web pages get built and maintained. As page volume grows across consumer and enterprise, a big part of this role is making our landing page system more self-serve internally: you'll create and own the design side of our CMS so the rest of the company can spin up on-brand pages without a designer in the loop every time. You'll report into the Brand/Creative Studio team and work closely with Growth, Product Marketing, Brand, and our front-end engineers. What you'll do - Own the design of marketing pages, landing pages, and growth surfaces end-to-end — you're the DRI for web craft - Create and own the CMS design system: the templates, components, and patterns that let teams build on-brand pages themselves - Partner with Growth and Product Marketing to translate business goals into compelling, high-converting page designs - Work with Brand to keep visual consistency across every web touchpoint - Collaborate directly with front-end engineers to ship pages quickly and at a high quality bar, including the ongoing migration off Framer - Bring a strong point of view on layout, typography, motion, and interaction design for the web - Raise the floor on self-serve page creation so the design team can focus on the highest-craft work What we're looking for - A strong portfolio of web and marketing design work — landing pages, campaign pages, product marketing sites — that shows you're a designer first - Excellent visual design skills with a clear sense of brand, typography, and composition - Hands-on experience designing within and for CMS / templating systems, and an instinct for building scalable, self-serve page systems - Experience at the intersection of brand and growth — you understand conversion without sacrificing craft - Comfort working fast and iterating in real time alongside engineers - Fluency in Figma and a solid understanding of responsive design, accessibility, and web performance - A clear opinion on what makes a great web page, and the ability to articulate why Nice to have - Front-end development knowledge (HTML, CSS, and enough JS to prototype, tweak, and ship) - Background in brand or marketing design at a consumer tech company - Familiarity with SEO fundamentals and how design decisions affect discoverability - Motion design skills for web interactions and micro-animations
Sr. Technical Recruiter (London)
At Perplexity AI, we are building products that push the boundaries of how people find, reason, and learn information. The scale and speed of our mission demand a team that thrives in environments of rapid iteration and constant discovery. As a Recruiter, you will be at the forefront of shaping the talent foundation that fuels our growth. This is not a traditional Recruiting role. We are looking for a builder with strong technical grounding, a genuine passion for the craft of sourcing, and the ability to operate with creativity and precision in an environment where constant change and ambiguity is the norm. You will partner closely with hiring managers, and engineers to identify, engage, and inspire world-class talent, helping build a team capable of solving some of the most challenging problems in AI today. Just as importantly, you will use AI to automate and augment your own workflow, treating sourcing as a system to be engineered rather than a set of manual tasks. What You'll Do - Full-cycle recruitment for engineering and research roles across EMEA Search, AI and Infrastructure - Build outbound first pipelines: advanced research, talent mapping across frontier labs and academia, referrals, AI-assisted automation, and creative outreach - Partner with hiring managers and engineers to calibrate profiles with accuracy and nuance, and to sharpen the bar as our teams evolve - Act as a candidate's first introduction to Perplexity, telling an authentic and compelling story about our mission, product, and culture - Track and analyze pipeline data to continuously improve sourcing strategy, and build your own tooling where off-the-shelf falls short - Operate with agility as priorities shift hard-to-fill roles, new pillars, and compressed timelines are the norm What You Bring - 4 years of full-cycle technical recruiting experience - A sourcing-first track record: you fill hard roles through outbound and talent mapping - Strong technical literacy comfortable, holding credible conversations with senior engineers - A builder's instinct for AI: eager to adopt new tools, automate your own workflow, and experiment with how AI can make recruiting faster and sharper - Excellent communication and relationship-building skills with candidates, hiring managers, and cross-functional partners - A mindset that thrives on curiosity, iteration, and impact, aligned with Perplexity's ethos of building what has never been built before
Sr. Business Recruiter, Communications & Marketing
Perplexity is hiring an experienced Communications & Marketing Recruiter to help build the teams responsible for how our company and products are positioned, launched, explained, and experienced. You will lead searches across Communications, Marketing, Social, Editorial, Content, Events and related functions. These disciplines require different networks and different ways of evaluating talent. A strong product marketer may need deep technical fluency and launch experience. A communications leader may be judged by the quality of their counsel and writing. A growth marketer needs to show measurable business impact. This is a hands-on, full-cycle recruiting role. You will work closely with Communications and Marketing leaders to define each search, build the market, assess candidates, and close the people who can raise the quality of the work. You should be comfortable reading portfolios and writing samples, digging into campaign results, and separating individual contribution from team output. You will also help us use AI more effectively across recruiting. That means applying it to research, talent mapping, outreach, and workflow automation while maintaining a high bar for judgment and candidate experience. What You’ll Do - Own full-cycle recruiting across the Communications & Marketing team. - Partner with Communications and Marketing leaders from intake through close. Turn early or ambiguous briefs into clear candidate profiles, interview plans, and sourcing strategies. - Build talent maps across technology companies, consumer brands, enterprise software, media organizations, and agencies. - Develop sourcing strategies specific to each discipline. Know where strong writers, communications operators, product marketers, and performance-minded marketers build their reputations. - Evaluate candidates beyond titles and company names. Review portfolios and writing samples, understand campaign context, clarify individual ownership, and probe for measurable results. - Help hiring teams build structured work-sample and portfolio reviews that reflect the actual work of each role. - Give leaders direct, useful reads on pipeline quality, candidate tradeoffs, compensation, and the state of the market. - Represent Perplexity clearly and credibly. Explain the product, the pace of the company, and the opportunity without relying on a generic AI pitch. - Run a thoughtful candidate process from first conversation through close, including senior candidates with competing offers and high expectations for the recruiting experience. - Use AI tools for research, sourcing, outreach, and recruiting operations. Identify where automation improves speed and where recruiter judgment needs to stay central. - Track pipeline health and search performance, identify gaps early, and adjust the strategy before a search stalls. What You Bring - 7+ years of full-cycle recruiting experience, including meaningful depth across Communications and Marketing. - Experience hiring across several of the following areas: Product Marketing, Corporate or Executive Communications, Editorial, Content, Social Media, Brand, Growth, Demand Generation, Field Marketing, or Events. - A track record of partnering closely with senior Communications or Marketing leaders on important and difficult searches. - Strong functional judgment. You understand the differences between product marketing, communications, editorial, brand, growth, and field marketing, including which backgrounds transfer well between them. - Comfort evaluating portfolios, writing samples, campaign work, and business results alongside the hiring team. - Strong writing and communication skills. You can sharpen a search brief, write credible outreach, and communicate clearly with candidates and executives. - Experience recruiting in a high-growth startup or similarly fast-moving environment. - Hands-on experience using AI tools to improve sourcing, research, outreach, or recruiting workflows. - Fluency with modern ATS and recruiting systems. Experience with Ashby is preferred. - Sound judgment, attention to detail, and the willingness to push back when the market or candidate evidence does not support the original brief. - The ability to manage several distinct searches without giving candidates or hiring teams a generic experience.
Solutions Product Marketing Manager
Perplexity is changing how enterprises adopt AI. We're seeking a Solutions Product Marketer to own GTM strategy for our highest-priority verticals, Finance, Healthcare, Legal, and Consulting. You'll go deep on buying motions, use cases, and competitive dynamics, translating insight into campaigns, content, and sales enablement that systematically win each industry. This role sits at the intersection of marketing, sales strategy, and product. You will: - Own vertical GTM as a system, not one-off campaigns - Map how enterprise buyers in each vertical evaluate, purchase, and deploy AI, personas, decision processes, and competitive alternatives - Build and run vertical awareness campaigns across paid, organic, and owned channels, including webinars, landing pages, and industry-specific creative - Arm enterprise sales with battle cards, objection handling, persona-specific talk tracks, and deal-stage content that moves revenue - Develop opinionated thought leadership positioning Perplexity as the authority on AI adoption in each vertical - Instrument and measure vertical performance: pipeline sourced, conversion rates, engagement iterating weekly based on data Qualifications: - 8+ years of product marketing experience, B2B preferred - Proven track record building and executing vertical or industry-specific GTM strategies that drove measurable pipeline - Deep understanding of enterprise buying motions, comfortable with long sales cycles, multi-stakeholder deals, and C-suite messaging - Exceptional storytelling and writing skills, able to distill complex capabilities into simple, compelling narratives across decks, one-pagers, videos, and ROI models - Advanced proficiency using AI tools to drive marketing outcomes - Collaborative, low-ego operator who thrives in fast-paced, small-team environments and owns the full stack of work
Social Media Manager
Perplexity is looking for a Social Media Manager to expand how Perplexity shows up online. You'll run the channels day to day, writing posts, setting strategy, scaling our accounts, and writing for leadership and the team, working closely with our Communications and marketing team, product managers, and engineers. This is a hands-on role. You'll write most of what goes out yourself. Excellent judgement and high taste are required. The role is mostly Instagram with some community initiatives like Reddit, and interacting with our developer audiences. Responsibilities - Run social channels day to day. Maintain our brand and product accounts across all channels. This includes writing social copy, planning content, and managing engagement. - Set the social strategy. Decide and execute how we grow each account, what we post where, and how we measure it. - Scale our team accounts. Help employees post in our voice and grow our presence across platforms. - Build and moderate community. Engage on Reddit and in developer communities, and represent Perplexity where our users already are. - Adapt and ship fast. Partner with Comms and marketing, PM’s, founders, and engineers in a fast-paced launch environment. Qualifications - 3+ years running social for a brand, ideally tech and AI. - You can write. Send us posts you wrote that performed and tell us why they worked. - Native fluency on Instagram and LinkedIn, with a track record of growing an account. - Demonstrated experience being entrusted with a brand voice - You know how to write for different audiences and platforms, and adjust the voice for each. - Comfortable in a fast launch cycle where the plan changes often Nice to have - You've run or moderated a developer or technical community. - You've written on behalf of leadership or other voices. - You follow AI closely and have opinions on how the best companies show up online.
Principal Counsel, Corporate
Summary of Role Perplexity AI is looking for a Principal Counsel, Corporate to serve as the company’s primary lawyer for corporate governance, equity, and financing matters. In this role, you’ll own the full corporate legal lifecycle, from board and stockholder governance and equity administration to financings, secondary transactions, and entity management as we scale globally. You’ll work closely with our Finance, Accounting, Tax and People teams, as well as with our executive team and investors. You’ll drive transactions from term sheet through closing, build the governance infrastructure that keeps a rapidly growing private company well-run, and stand up the templates, playbooks, and records systems that let corporate work scale without adding headcount. The ideal candidate brings deep private-company corporate and securities experience, precision with cap-table and equity mechanics, and the judgment to make principled calls independently. This is a high-impact, hands-on role for a corporate attorney who thrives in fast-paced environments, is comfortable being the first and only owner of a workstream, and is excited to help build a best-in-class legal function at one of the most consequential AI companies in the world. Key Responsibilities - Lead corporate governance for Perplexity and its subsidiaries, including board and committee meeting preparation, agendas, minutes, resolutions and written consents, charters, organizational documents, corporate policies, and the corporate records that keep the company well-governed as it scales. - Structure, draft, and negotiate equity and debt financings from term sheet through closing, including preferred stock financings, credit facilities, convertible instruments, and related diligence and closing deliverables. - Own secondary transactions and liquidity programs, including tender offers, company repurchases, direct secondaries, transfer approvals and the related stockholder communications and consents. - Partner with Finance, Accounting, Tax and People on equity compensation and cap-table administration, including option and RSU grant processes, 409A valuations, pool sizing and refreshes, fully diluted share reconciliation, and Carta hygiene. - Support M&A, acquihires, strategic investments, and other corporate transactions, including structuring, diligence, definitive agreement negotiation, closing, and post-closing integration, and manage outside counsel to budget and schedule. - Build and scale corporate legal infrastructure, including consent and resolution precedent libraries, grant and vesting exhibit templates, signature and approval workflows, entity management systems, and formation and foreign-qualification processes for domestic and international expansion. - Support corporate readiness workstreams, including audit support, internal controls over corporate approvals, subsidiary governance, and the sequencing of policies and processes that position the company for future financing or public-company requirements. - Monitor legal and market developments affecting private-company governance, equity, and securities matters, and translate them into practical guidance for the executive team and the board. Qualifications - JD and in good standing with an active US state bar membership, , or eligible to register as in-house counsel in California - At least 9+ years of law firm and/or in-house experience - Track record leading venture or growth equity financings, secondary transactions, and corporate governance for high-growth private technology companies - Deep familiarity with cap-table mechanics, equity compensation administration, and charter and stockholder agreement provisions, with the precision to reconcile numbers before they reach the board - Strong business acumen and ability to partner with finance, accounting, people, and executive stakeholders - An ability to communicate clearly with business and technical audiences and effectively translate legal concepts for non-lawyers - Hands-on attitude to tackle projects large and small, low-ego approach to working across the organization - Positive collaborative attitude, comfort with change and a fast pace, high level of integrity, and intellectual curiosity - Comfortable working in a fast-paced, dynamic environment
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