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Member of Technical Staff (Software Engineer)
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. About The Role We are seeking a Software Engineer to develop and maintain high-performance, low-latency inference infrastructure. This role focuses on deploying and optimizing scalable inference services, collaborating with cross-functional teams, and ensuring reliable, production-ready machine learning infrastructure. Responsibilities - Implement infrastructure to support high-performance, low-latency inference service. - Deploy and configure Kubernetes services to ensure scalability and reliability of inference workloads. - Optimize resource allocation and auto-scaling policies to handle variable inference demand while minimizing operational costs. - Integrate inference services with containerized environments using Docker and Kubernetes for orchestration. - Ensure high availability and fault tolerance by implementing multi-region deployments and disaster recovery strategies. - Develop Python-based scripts and APIs to streamline data preprocessing, inference execution, and post-processing for real-time inference tasks. - Collaborate with machine learning engineers to validate inference accuracy and performance against functional and latency requirements. - Triage and resolve defects in the service by analyzing logs, metrics, and distributed traces. - Debug issues related to model deployment, container orchestration, or networking configurations, documenting steps to reproduce and root-cause defects. - Collaborate with cross-functional teams to address performance regressions, scalability issues, or integration failures in the inference pipeline. - Develop automated scripts to detect and mitigate common failure modes, improving system reliability. - Author detailed technical documentation for infrastructure configurations, inference workflows, and APIs, ensuring clarity for internal teams and external customers. - Work with product management and user experience teams to define requirements for inference service interfaces, including configuration, monitoring, and event logging. - Document and track defects, enhancements, and release notes using tools like Jira and Git, ensuring version control and traceability. - Participate in release planning and prioritization discussions to align infrastructure development with customer needs and business objectives. Skills & Qualifications MINIMUM REQUIREMENTS - Master's degree (or foreign equivalent) in Computer Science or a related field. - One (1) year of experience as a Software Developer, Student/Intern (Software Developer), Member of Technical Staff (Software Engineer), Software Engineer, or a related occupation. - Employer accepts full-time or equivalent part-time experience gained before, during, or after graduate studies. Required Skills: - Docker and Kubernetes; - Java or C++; - ActiveMQ and Kafka; - Python or Groovy; - JavaScript or TypeScript; - Linux; - SQL, OracleDB, and Redis; and - Git Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Manufacturing Automation Engineer
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Job Summary We are seeking a skilled and motivated Manufacturing Automation Engineer to design, implement, maintain, and optimize automated manufacturing assembly and test systems. The ideal candidate will collaborate with cross-functional teams to improve production efficiency, enhance product quality, reduce downtime, and support continuous improvement initiatives through advanced automation technologies. Key Responsibilities - Design, develop, and implement automation solutions for manufacturing processes. - Program, troubleshoot, and optimize PLCs, HMIs, SCADA systems, robotics, and industrial control systems. - Support the installation, commissioning, and validation of new production equipment. - Analyze manufacturing processes and identify opportunities to improve productivity, quality, safety, and cost. - Perform root cause analysis of equipment failures and implement corrective actions. - Develop and maintain electrical schematics, control system documentation, and standard operating procedures. - Collaborate with production, maintenance, quality, and engineering teams to resolve technical issues. - Lead or support capital automation projects from concept through implementation. - Ensure compliance with safety regulations, industry standards, and company policies. - Monitor equipment performance using data analysis and recommend continuous improvement initiatives. - Train production and maintenance personnel on new automation systems and equipment. - Maintain spare parts inventories and support preventive and predictive maintenance programs. Required Qualifications - Bachelor's degree in Electrical Engineering, Mechanical Engineering, Mechatronics Engineering, Automation Engineering, or a related technical field. - 9+ years of experience in manufacturing automation, industrial controls, or process engineering. - Experience programming PLCs (Allen-Bradley, Siemens, Mitsubishi, Omron, or similar). - Knowledge of industrial communication protocols such as Ethernet/IP, Modbus, Profinet, or DeviceNet. - Experience with robotics integration and automated material handling systems. - Strong understanding of electrical controls, sensors, actuators, servo systems, and VFDs. - Ability to read and interpret electrical schematics, P&IDs, and mechanical drawings. - Strong troubleshooting, analytical, and problem-solving skills. - Excellent communication and project management abilities. Preferred Qualifications - Experience with Industry 4.0 technologies, IIoT, and data analytics. - Knowledge of vision inspection systems and machine safety standards. - Experience with SQL databases, Python, C#, or other programming languages. - Familiarity with Lean Manufacturing, Six Sigma, and continuous improvement methodologies. - Professional certifications in automation or controls engineering are a plus. Key Competencies - Technical problem-solving - Project management - Process optimization - Continuous improvement mindset - Cross-functional collaboration - Attention to detail - Time management - Safety-first approach Working Conditions - Manufacturing plant environment with exposure to industrial machinery. - Travel to contract manufacturing sites and suppliers - May require off-shift or weekend support during equipment installations or production emergencies. Performance Metrics Success in this role will be measured by: - Improvement in overall equipment effectiveness (OEE) - Increased production efficiency - Successful implementation of automation projects - Reduction in manufacturing defects - Compliance with safety and quality standards - Achievement of project timelines and budgets The salary range for this position is $180,000 – $220,000 annually. Actual compensation will be determined based on factors such as experience, skills, qualifications, and location. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Lead RTL Design Engineer
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. About The Role As a lead front-end design engineer, you will be a key part of the world-class team designing and developing the next generations of the Cerebras Wafer Scale Engine (WSE). This role requires deep expertise in RTL design and integration, with a strong focus on delivering high-performance, power-efficient, and scalable solutions. The role also requires close collaboration and management of external ASIC vendor. You will collaborate closely with the design verification, physical design, software and system teams to bring innovative semiconductor architectures from concept to production, addressing the unique challenges of building WSE systems. Responsibilities - Drive all aspects of chip design, including Functional Specification, Micro-architecture, RTL development, Synthesis. - Managing external ASIC vendor through product development cycle. - Work closely with PD team members for design closure to meet PPA goals. - Work closely with Design verification and DFT teams for achieving the best functional and test coverage. - Work with software and system teams to understand opportunities to deliver optimal performance and feature set for the product. - Debug silicon-level functional, timing, and power issues during bring up. Requirements - Master’s degree in Computer Science, Electrical Engineering, or equivalent. - Can work in a hybrid work environment. - 8-15 years of experience in delivering complex, high performance high quality RTL designs. - Experience with Front End Chip integration and third-party IP integration. - Demonstrated experience in networking, high-performance computing, machine learning or related fields. - Proven track record of multiple silicon success. - Experience collaborating and managing external vendors. - Experience with designing/integrating high speed IO. - Networking stack experience including TCP/IP, RDMA and Ethernet. - Knowledge of PCIe, CPU interfaces and Serdes technology. - Working knowledge of scripting tools : Python, TCL. Assets - Experience with FPGA development toolchain, including Place and Route, Floor planning and Timing Analysis is a plus. The base salary range for this position is $200,000 to $299,000 annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Head of SOX Internal Audit
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. ABOUT THE ROLE The Head of SOX & Internal Audit will establish and lead the Company's SOX compliance program and eventually progress towards establishing the Internal Audit function. This individual will serve as a trusted advisor to executive leadership and the Audit Committee, providing independent assurance regarding the effectiveness of governance, risk management, internal controls, financial reporting processes, cybersecurity controls, and operational risk management. The successful candidate will build a scalable, risk-based Internal Audit program aligned with Institute of Internal Auditors (IIA) standards and will oversee SOX Section 404 compliance, internal control testing, deficiency remediation, and enterprise risk assessments. The role requires strong leadership, technical expertise, and the ability to partner effectively across Finance, IT, Legal, Operations, Engineering, Security, and executive management. This role aligns with Cerebras' roadmap to create clear separation between Controllership and Independent Testing and to support ongoing compliance as a public company. Key Responsibilities SOX & Internal Audit Program Leadership - Own the design, implementation, and ongoing operation of the SOX compliance program. - Lead annual SOX risk assessments, scoping, materiality considerations, and control rationalization efforts. - Oversee documentation and maintenance of narratives, flowcharts, risk-control matrices (RCMs), and process inventories. - Direct walkthroughs, control testing, deficiency evaluation, remediation validation, and management reporting. - Coordinate with Finance, IT, Legal, Security, Engineering, and business process owners to maintain effective internal controls over financial reporting (ICFR). - Monitor remediation efforts and ensure timely resolution of control deficiencies. - Drive continuous improvement through automation, control optimization, and reduction of manual testing. - Support management's SOX Sections 302 and 404 certification processes. - Establish and lead the Internal Audit function, charter, methodology, policies, and annual audit planning process. - Develop and execute a risk-based audit plan covering financial, operational, technology, cybersecurity, compliance, and strategic risks. - Present audit plans, audit results, risk assessments, and emerging risks to executive leadership and the Audit Committee. Governance, Risk, and Compliance - Assist leadership in strengthening enterprise risk management and governance processes. - Evaluate entity-level controls and the overall control environment. - Support fraud risk assessments and development of monitoring programs. - Assess risks associated with rapidly scaling AI infrastructure, data centers, supply chain operations, manufacturing, inventory management, cybersecurity, export controls, and global operations. - Review regulatory compliance programs and provide independent assurance over key compliance obligations. - Partner with Legal and Compliance functions regarding investigations, whistleblower matters, and governance initiatives. External Auditor & Audit Committee Engagement - Serve as principal liaison with external auditors on internal control, SOX, and audit matters. - Facilitate reliance strategies and coordination activities between Internal Audit and external auditors where appropriate. - Prepare Audit Committee materials and provide executive-level reporting on risks, audit findings, and remediation activities. - Support Board governance initiatives and audit committee oversight responsibilities. Organizational Development - Build a high-performing Internal Audit organization capable of supporting a public-company environment. - Develop talent, audit methodologies, and technology-enabled audit capabilities. - Champion a culture of accountability, ethical conduct, control awareness, and continuous improvement. Internal Audit Leadership - Ensure the Internal Audit function operates in accordance with IIA Global Internal Audit Standards. - Develop internal audit methodologies, quality assurance processes, and reporting frameworks. - Build and manage an Internal Audit team, including co-sourced providers and external consultants as needed. - Identify emerging risks and recommend practical, business-focused mitigation strategies. Qualifications - Bachelor's degree in Accounting, Finance, Information Systems, or related field. - 10+ years of progressive experience in Internal Audit, SOX compliance, Risk Advisory, or public accounting. - 5+ years in leadership roles managing audit teams and enterprise-wide audit programs. - Deep knowledge of: - Sarbanes-Oxley Act (SOX) - COSO Framework - SEC reporting requirements - Internal Controls over Financial Reporting (ICFR) - Enterprise Risk Management - IIA Standards - Experience building or transforming Internal Audit and SOX programs at public companies or IPO-stage organizations. - Strong understanding of IT general controls (ITGCs), cybersecurity risks, and technology-enabled business processes. - Experience presenting to Audit Committees, CFOs, CAOs, and Boards of Directors. Preferred - CPA, CIA, CISA, or equivalent professional certification. - Big Four or national public accounting firm experience. - Semiconductor, hardware, manufacturing, cloud infrastructure, AI, or technology industry experience. - Proven ability to design, implement, and mature SOX and Internal Audit programs from inception through steady-state operation. - Experience with ERP environments such as NetSuite, Oracle, SAP, or equivalent. - Experience implementing data analytics and audit automation tools. Success Metrics (First 12–18 Months) - Implement sustainable SOX governance structure and testing methodology. - Improve control maturity and remediation management across key business processes. - Achieve external auditor reliance on management testing where appropriate. - Deliver meaningful audit insights to leadership and the Audit Committee. - Establish Internal Audit function, charter, policies, and reporting structure. - Complete enterprise risk assessment and risk-based audit plan. Leadership Competencies - Executive presence and board-level communication skills. - Independent judgment and professional skepticism. - Strategic thinker with strong business acumen. - Ability to influence across highly technical and cross-functional organizations. - Exceptional project management and organizational skills. - Strong commitment to integrity, objectivity, and continuous improvement. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Engineering Manager, Kernel Reliability
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. About The Role We're looking for a deeply technical, hands-on engineering leader for our on-field Kernel Reliability team. You will lead a high performing team to tackle a critical challenge: improving the reliability of our advanced compute clusters and the underlying inference, training, and internal production services. In this role, you'll set the technical vision while staying close to the code and designing solutions that will scale to our exponentially growing system production and software service offerings. If you have proven expertise in software or hardware reliability, diagnostic tool building, or failure analysis and debugging, we want to hear from you. Responsibilities - Provide hands-on technical leadership, owning the technical vision and roadmap for the kernel-centric reliability of our internal and customer-facing systems - Assist System and Cluster Operations teams on reducing system and service downtime after failure by providing tooling and manual intervention for failure analysis and diagnostic - Work with the Debug Team to enhance debug tools with the goal of speeding up failure analysis - Collaborate with SW teams to improve the software stack, including Kernels, to improve on-field debugging and failure analysis - Work with the ASIC an HW architecture teams to codesign the next generation architectures with reliability and ease of debug in mind - Lead, mentor, and grow a high-caliber team of engineers, fostering a culture of technical excellence and rapid execution. Skills & Qualifications - 6+ years in software engineering, with 3+ years leading teams in SW/HW reliability, debug, diagnostic, failure analysis or related fields - Expertise in parallel and distributed programming (message passing, multicore, GPU, embeded, etc.), debug and diagnostic tool development or expert usage (debuggers, core dump handling, code sanitizers, etc.), experience debugging distributed and parallel applications (deadlocks, livelocks, race conditions, etc.), deep understanding of computer architectures (instruction pipelining, multithreading, networking, etc.) - Operations & Monitoring: Strong background in monitoring and reliability engineering (incident response, post-mortem analysis, etc.) - Leadership & Collaboration: Demonstrated ability to recruit and retain high-performing teams, mentor engineers, and partner cross-functionally to deliver customer-facing products. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Distributed Software Engineer
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. The Role The Cluster engineering team owns the software that turns thousands of wafers, servers, and switches into a cloud that stays up, stays busy, and stays debuggable. We stand clusters up from bare metal, schedule training and inference workloads across the fleet, keep it healthy, and make it observable to users, operators, and increasingly to AI agents. The stack is Go and Python on Kubernetes, running both on-premise deployments and our own cloud. Responsibilities · Declarative, CRD-driven automation of bare-metal networking, OS, and application software across clusters of Cerebras systems, servers, and switches, built to reconcile thousands of nodes · Push-button cluster install, upgrade, and security patching with real downtime budgets, gated by canaries · Kubernetes operators that schedule large inference workload: resource locks, priority queues, network topology, and health-aware placement · gRPC control-plane services, authorization, admission webhooks, and quota policy for a multi-tenant fleet · Metrics and log pipelines with purpose-built exporters for wafer-scale systems, servers (Redfish, IPMI), and network fabric (gNMI, sFlow), on Prometheus and Grafana, with SLOs and alerting · Failure detection, HA control planes, and automated recovery, plus the CLIs, APIs, and MCP gateway that expose the fleet to users, operators, and AI agents Skills and Qualifications · 5+ years building and operating production distributed systems or infrastructure software · Production-quality Go and Python · Real Kubernetes depth: you have written or debugged controllers and operators, and you understand CRDs, reconciliation semantics, informer caches, admission webhooks, and RBAC · Strong debugging skills across distributed systems, Linux, and networking · Prometheus and Grafana as a practitioner: PromQL, exporter design, cardinality discipline, useful alerts · Strong self-driving capability. This environment is large, fast-moving, and not fully documented, so we need engineers who build their own context, decide, and drive work across team boundaries. Learning speed matters more here than familiarity with our stack. · Demonstrated adoption of AI in your engineering workflow: active use of coding agents, a view on where they help and where they mislead, and the rigor to verify what they produce. · Nice to have: bare-metal or HPC fleet operations, scheduler internals, RDMA/RoCE and eBPF networking, Ceph or NVMe-oF, etcd and HA upgrades, inference serving stacks. ML research experience is not required. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Director, Intellectual Property Counsel
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. About the Role Cerebras has built a breakthrough architecture that is unlocking new opportunities for the AI industry. As Director, IP, you will lead the development and execution of Cerebras’ global intellectual property strategy. You will partner with engineering, research, product, security, marketing, and executive leadership to build, protect, and leverage the company’s patent, trademark, copyright, trade secret, and open source assets in support of Cerebras’ AI hardware, software, cloud services, and strategic business initiatives. This is a hands-on, business-facing role for an IP attorney who enjoys working directly with inventors and technical leaders building advanced AI infrastructure. You will identify high-value inventions, guide global filing strategy, manage outside prosecution counsel, support IP risk assessments, and advise on licensing, collaboration, supply chain, customer, and strategic transaction matters. The right candidate brings technical curiosity, practical judgment, and the ability to turn complex AI hardware, systems, software, and infrastructure issues into clear, actionable guidance. Responsibilities - Develop and execute Cerebras’ enterprise intellectual property strategy aligned with product roadmap, business objectives, competitive positioning, and corporate growth. - Advise executive leadership on IP strategy, competitive landscape, IP risks, licensing opportunities, standards participation, and emerging AI legal developments. - Build and maintain an integrated IP portfolio spanning patents, trademarks, copyrights, trade secrets, domain names, and other proprietary assets. - Drive strategic invention harvesting and patent portfolio development across the full AI infrastructure stack. - Partner directly with engineers, researchers, product leaders, and executives to identify patentable innovation, improve invention disclosure quality, and align filing decisions with technical roadmaps and business priorities. - Manage U.S. and international patent preparation and prosecution, including directing outside counsel, reviewing applications and office action responses, setting claim strategy, and maintaining quality, cost, and timing discipline. - Build subject matter expertise in Cerebras' key technical areas and proactively identify portfolio opportunities tied to product releases, customer deployments, partnerships, competitive developments, and emerging standards. - Advise on intellectual property issues relating to generative AI, foundation models, and evolving legal and regulatory developments affecting AI technologies. - Support commercial, corporate, and product counsel on IP provisions in customer agreements, cloud and data center arrangements, supply chain and manufacturing relationships, university and research collaborations, licensing, and other strategic transactions. Skills & Qualifications - J.D. from an accredited law school and active membership in at least one U.S. state bar; California bar membership is preferred. - Registration to practice before the U.S. Patent and Trademark Office. - 10+ years of experience drafting and prosecuting patent applications, preferably with meaningful work in AI infrastructure, high-performance computing, semiconductors, electrical engineering, computer science, systems, networking, cloud infrastructure, or related areas. - Technical undergraduate degree or equivalent technical experience; electrical engineering, computer engineering, computer science, physics, or a closely related discipline preferred. - Ability to understand complex AI infrastructure, hardware, networking, cloud, and software systems and convert technical disclosures into strategically valuable patent claims. - Experience managing outside patent counsel and global patent portfolios with attention to quality, cost, timing, and business alignment. - Strong written and verbal communication skills, including the ability to explain patent strategy and risk clearly to engineers, business leaders, and executives. - Practical judgment, strong organization, attention to detail, and comfort managing multiple priorities in a fast-moving environment. - Collaborative working style, intellectual curiosity, and enthusiasm for advanced computing, AI infrastructure, and deep technology. Preferred Experience - Prior in-house patent counsel experience at a high-growth technology company, semiconductor company, AI infrastructure provider, cloud provider, systems company, or advanced computing business. - Experience with patent portfolios involving AI infrastructure platforms, AI accelerators, high-performance computing systems, computer architecture, or data center infrastructure. - Experience counseling on patent issues in commercial transactions, strategic partnerships, standards organizations, university collaborations, open-source software, supply chain/manufacturing deals, or IP licensing. - Experience with patent assertions, invalidity and infringement analysis, or litigation support. - Foreign filing strategy experience, including PCT practice and prosecution before major non-U.S. patent offices. - Ability to build repeatable processes, dashboards, and executive-ready reporting for invention intake, portfolio review, outside counsel management, and IP risk tracking. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
DevOps Engineer - New Grad 2026
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. ABOUT THE ROLE As a New Graduate Software Engineer, you will collaborate with world-class engineers to solve real-world challenges across the software stack. You will contribute to software systems that directly impact performance, scalability, reliability, and usability of next-generation AI infrastructure. You will gain hands-on experience working across multiple layers of a fully integrated AI-accelerated system, including advanced hardware interfaces, low-level infrastructure, distributed systems, compilers, and ML frameworks. RESPONSIBILITIES You will develop and maintain the infrastructure required to build, test, operate, simulate, and evaluate the Cerebras software stack. As a DevOps engineer, you will be responsible for designing efficient, scalable workflows for automating processes in the cloud and in our datacenter. You will work closely with the development and product management teams to monitor the quality and performance of the software that runs on the Wafer Scale Engine (WSE), the world’s largest and fastest AI computer. Required Qualifications - Enrolled in a University program with a degree in Computer Science, Computer Engineering, or other related disciplines. - Experience in software development environments. - Proficient in Python, shell scripting, Makefiles. - Strong end-to-end triage, debug, and troubleshooting skills. - Experience with Jenkins and other CI/CD platforms. - Experience with Docker, Kubernetes and container technology in general. - Experience building services on top of AWS or other cloud platforms at scale. - UI experience highly desirable. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Deployment Manager – Global Data Center Build and...
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. THE ROLE The Deployment Manager – Global Data Center Build and Deploy is responsible for the end-to-end execution of AI cluster deployments within large-scale data centers, specifically taking from facility ready for power and cooling to customer hand-off. This role leads rack integration, high-density inter-rack cabling, and close coordination with facilities, networking, and operations teams to deliver Cerebras Wafer Scale Engine based clusters safely, on schedule, and to strict quality standards. The ideal candidate has deep experience deploying AI infrastructure, understands the operational demands of high-power, high-thermal-density environments, and excels at troubleshooting complex cabling and integration issues. This role requires providing directions to technicians on the Data Center floor, and resolve any issue blocking build and deploy in data centers. The role requires traveling and physically present at Data Center weeks at a time. RESPONSIBILITIES AI CLUSTER DEPLOYMENT & RACK INTEGRATION - Lead deployment of AI clusters including Cerebras Wafer Scale Engine, high-speed switches, storage, and rack-level infrastructure - Coordinate rack integration of high-density compute, specialized racks, and associated power components (PDUs, busway drops) - Ensure deployment aligns with AI cluster architecture, topology, and scaling requirements HIGH-DENSITY INTER-RACK & INTRA-RACK CABLING - Manage installation of high-speed interconnect cabling (fiber and copper) supporting AI fabrics (east–west traffic) in Data Centers - Coordinate inter-rack and intra-rack cabling for AI clusters, including spine-leaf and pod-level designs - Ensure proper routing, airflow clearance, labeling, and testing of all AI-related cabling FACILITIES & INFRASTRUCTURE COORDINATION - Work closely with facilities teams on power capacity, cooling readiness, containment, and grounding for dense racks - Coordinate deployment sequencing with facility commissioning milestones - Validate white-space readiness before rack and cluster deployment - Provide directions to technicians on the data center floor. TROUBLESHOOTING & ISSUE RESOLUTION - Troubleshoot cabling, connectivity, and integration issues impacting AI cluster bring-up - Lead root-cause analysis for deployment blockers related to cabling, hardware placement, or facilities dependencies - Support validation, burn-in, and handoff of AI clusters to operations teams CROSS-FUNCTIONAL EXECUTION - Partner with network, server, AI platform, and operations teams to align on deployment plans and readiness - Manage multiple parallel AI cluster deployments across sites or availability zones - Communicate risks, dependencies, and milestones clearly to stakeholders QUALITY, STANDARDS & DOCUMENTATION - Ensure deployments follow company design standards, structured cabling best practices, and AI deployment playbooks - Validate as-built documentation, labeling accuracy, and deployment checklists - Maintain accurate records for cluster configuration, cabling, and deployment status SAFETY & RISK MANAGEMENT - Enforce EHS, data center safety, and access control procedures during deployment - Ensure safe handling of heavy, high-power GPU equipment - Proactively identify and mitigate deployment and operational risks QUALIFICATIONS - Bachelor’s degree in Engineering, IT, or equivalent practical experience - 10+ years of experience in data center deployments, infrastructure delivery, or integration roles - Ability to provide directions to technicians on data center floor. - Hands-on experience deploying hyperscale AI, ML, or HPC infrastructure - Strong experience with structured cabling in high-density environments, and troubleshooting - Proven ability to manage complex, cross-functional deployment programs - Familiarity with high-speed fabrics (e.g., InfiniBand, high-bandwidth Ethernet) - Experience with DCIM or deployment tracking systems - Strong attention to detail and operational rigor - Ability to perform under tight timelines and production constraints Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Compute Server Platform Architect
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. About The Role As a Compute / Server Platform Architect on the Cluster Architecture Team, you will own the server-side platform architecture that enables Cerebras CS3-based AI clusters (training and inference) to deliver predictable performance, scalability, and reliability. Our accelerators are network-attached, so the x86 server fleet is a first-class part of the end-to-end system: it runs critical-path runtime functions (for example orchestration, prompt caching, and IO/control services) and must be co-designed with software for token-level latency, throughput, and cost efficiency. You will translate workload behavior into CPU, memory, IO, PCIe, and host-networking requirements, drive platform evaluations with vendors, and provide technical leadership through qualification and production adoption in close partnership with other function leaders and TPMs. Responsibilities - Own the architecture for all server roles in Cerebras clusters, including definitions of server types, configurations, and lifecycle strategy. - Define and maintain server formulas (counts and ratios per CS-3 count, cluster size, and workload type) including capacity planning and headroom policy. - Specify platform configurations: CPU SKU and core strategy, our vendor roadmap (e.g., AMD, Intel, ARM), memory topology (channels, DIMM type, capacity), PCIe topology and lane budgeting, NIC selection/placement, and local NVMe policy where applicable. - Translate software and runtime flows into measurable hardware requirements (CPU utilization, memory bandwidth/latency, bursty IO patterns, queueing and concurrency limits) and communicate clear guardrails back to software teams. - Develop performance and scaling models; validate with microbenchmarks and workload-level experiments; identify bottlenecks and drive cross-stack fixes. - Define the OS, BIOS, firmware, and driver baseline for each server type; there are other teams that follow these recommendations and apply them on our fleet. - Stay current on emerging server technologies (CPU generations, new memory technologies, CXL, NVMe evolutions, SmartNIC/DPU capabilities where relevant) and run proof-of-concept evaluations to determine when to adopt. - Lead technical vendor engagements (OEM/ODM and component vendors): influence roadmap, request platform knobs, and drive joint debugging on performance or reliability issues. - Define qualification and acceptance criteria (performance, stability, operability) and partner with the Infrastructure Hardware TPM to execute qualification plans and land changes cleanly into production. - Support bring-up and rare deployment debugging in lab and staging environments; drive root-cause analysis for regressions spanning firmware, drivers, OS, and runtime behavior. Skills and Qualifications - PhD. in Computer Science or Electrical/Computer Engineering and + 8 years industry experience, or Master’s/Bachelor’s in CS or EE + 10 years industry experience. - 5+ years of experience in server platform architecture, systems performance engineering, or large-scale infrastructure design for AI/ML, HPC, or performance-sensitive distributed systems. - Deep understanding of x86 server architecture: CPU microarchitecture basics, cache hierarchies, NUMA, memory controllers/channels, and memory bandwidth vs latency tradeoffs. - Strong Linux systems knowledge: profiling and performance analysis, scheduling and syscall overheads, memory management behavior, and practical tuning methodology. - Experience reasoning about high-performance IO paths, including NIC behavior at a systems level, RDMA/RoCE concepts, and NVMe performance characteristics. - Proven ability to create capacity and performance models and validate them empirically with a rigorous benchmarking plan. - Experience working directly with vendors/partners to evaluate platforms, drive issue resolution, and influence roadmaps. - Strong cross-functional communication skills and ability to drive technical decisions through clear tradeoff documents and reviews. - Familiarity with application and system software (C, C++, Python). Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
CoDesign & NextGen - New College Grad
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. About The Role Engineers in the CoDesign and NextGen organization work at the interface of software and hardware helping everything from high performance kernel design, next generation ASIC performance modeling and tuning, new system bringup and software tuning, system robustness and simulations. As an new engineer you'll be expected to learn the Cerebras products and platforms end to end starting at the base layer of programming the Wafer Scale Engine through kernel development, modeling performance for our software products and validating the work through exercising it on both actual hardware and simulations. Skills & Qualifications - MS/BS in Computer Engineer, Electrical Engineering or Computer Science - Strong background in computer architecture - Strong analytical and problem solving mindset - Exposure to CPU/GPU Architecture and programming models - Experience working on CPU/GPU simulators - Exposure to performance profiling and debug on any system pipeline - Experience with C++ and Python - Exposure to and basic understanding of machine learning is desired Location This is a full-time, in-office position based in Sunnyvale, CA. We offer relocation support for candidates relocating to the Bay Area. Base salary range: $145,000-$155,000 annually, depending on experience, skills, and qualifications, plus equity. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Cluster Operations Software Engineer
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. THE ROLE We are seeking a highly skilled and experienced AI Cluster Operations Engineer to manage and operate our cutting-edge machine learning compute clusters. These clusters would provide the candidate with an opportunity to work with the world's largest computer chip, the Wafer-Scale Engine (WSE), and the systems that harness its unparalleled power. You will play a critical role in ensuring the health, performance, and availability of our infrastructure, maximizing compute capacity, and supporting our growing AI initiatives. This role requires a deep understanding of Linux-based systems, containerization technologies, and experience with monitoring and troubleshooting complex distributed systems. The ideal candidate is a proactive problem-solver with expertise in large-scale compute infrastructure, dependable and an advocate for customer success. RESPONSIBILITIES - Deploy, configure, and debug container-based services using Docker. - Build and own software solutions that power cluster operations, including monitoring platforms, workflow automation systems, operational dashboards, and reliability tooling. - Collaborate with cross-functional teams to translate operational requirements into scalable O&M products and platform capabilities. - Develop APIs, automation services, and integrations that improve operational visibility, incident response, and fleet management across global AI infrastructure. - Manage and operate multiple advanced AI compute infrastructure clusters. - Monitor and oversee cluster health, proactively identifying and resolving potential issues. - Maximize compute capacity through optimization and efficient resource allocation. - Provide 24/7 monitoring and support, leveraging automated tools and performing hands-on troubleshooting as needed. - Handle engineering escalations and collaborate with other teams to resolve complex technical challenges. - Stay up-to-date with the latest advancements in AI compute infrastructure and related technologies. SKILLS AND REQUIREMENTS - 6-8 years of relevant experience in managing and operating complex compute infrastructure, preferably in the context of machine learning or high-performance computing. - Proficient in Python and Go, with experience building operational platforms, workflow automation systems, and reliability tooling for large-scale infrastructure environments. - Experience and Expertise in distributed systems is a must. - Deep understanding of Linux-based compute systems and command-line tools. - Extensive knowledge of Docker containers and container orchestration platforms like k8s. - Proven ability to troubleshoot and resolve complex technical issues in a timely and efficient manner. - Experience with monitoring and alerting systems. - Should have a proven track record to own and drive challenges to completion. - Excellent communication and collaboration skills. - Ability to work effectively in a fast-paced environment. - Willingness to participate in a 24/7 on-call rotation. PREFERRED SKILLS AND REQUIREMENTS - Operating and Managing large scale AI clusters. - Knowledge of technologies like Ethernet, RoCE, TCP/IP, etc. is desired. - Knowledge of cloud computing platforms (e.g., AWS, GCP, Azure). LOCATION - SF Bay Area. - Toronto, Canada. - Bangalore, India. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Cloud Quality Engineer
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. ABOUT THE TEAM The Cloud Quality team is responsible for the confidence behind every production release shipped to Cerebras Inference Cloud. We work closely with platform, infrastructure, ML systems, and product engineering teams to ensure that rapid iteration never comes at the expense of customer trust. Our environment spans distributed cloud systems, multi-region deployments, APIs, orchestration layers, and hardware-backed inference services. We are scaling quickly. The systems are growing in complexity, traffic is increasing rapidly, and release velocity remains high. We need engineers who can build quality systems that scale with the business. About the role We are hiring a Cloud Quality Engineer to own the quality of our weekly cloud releases end to end and to build the test infrastructure that lets the team scale. This is a hands-on senior IC role for someone who treats quality as a first-class engineering problem - not a downstream gate. You will drive every release from branch cut to sign-off, build scalable test infrastructure that grows with customer load, and push back when quality is at risk. You will operate effectively across timezones, async-first, with clear written communication. This is a role for someone who self-drives. You will frequently work without complete product specifications, decide under ambiguity, and ask the right questions before code lands - not after. Responsibilities - Release Quality Ownership: Drive weekly cloud release qualification end to end. Read every PR in the release branch first-hand; understand what changed; decide where the risk is; and design the qualification that exercises the actual risk. Be the final voice before a release ships. - Test Infrastructure at Scale: Build and evolve the test infrastructure - functional, integration, performance, and fault for the Inference Cloud platform. Plan for 20x growth in coverage, environments, and traffic. Today's setup will not survive tomorrow's load; design for the next horizon. - End-to-End System Understanding: Reason through the full stack — client SDK, API, gateway, inference software, driver, hardware. Know enough to debug from any layer and to test the right thing. - Code Review with Intent: Read and review developer PRs with genuine understanding of what each change does and what its blast radius is. Test the change's actual impact, not its surface area. - Automation Expansion: Increase automation coverage continuously. Fix flaky tests rather than tolerate them. Use AI tooling effectively to accelerate test creation, debugging, and analysis. - Quality Discipline: Choose high-value tests over volume metrics. Drive the team's standards for what "tested" means and what "ready to ship" means. - Cross-Team Operation: Work with platform, ML, infrastructure, and product teams across timezones. Influence quality outcomes without owning every team's roadmap. Skills & Qualifications - 5+ years of experience in quality engineering, test engineering, or a closely related role, with substantial individual contributor experience on large-scale distributed systems or cloud infrastructure. - Deep cloud platform experience, preferably AWS - networking, compute orchestration, container platforms, and multi-region production services. You can reason about what is happening at the cloud layer when something fails. - Track record of building scalable test infrastructure - frameworks, harnesses, environments, and automation that scale with the system under test rather than fighting it. - Strong systems debugging and reasoning. You can take an unfamiliar failure and follow it through layers of the stack to a root cause. - Strong proficiency in at least one backend language (Python, Go, or C++), sufficient to read production code, write production-grade tests, and contribute infrastructure code directly. - Excellent written and async communication. You operate effectively across time zones and in environments where most decisions get made in writing. - Self-direction under ambiguity. You frame problems, make trade-off decisions, and push back when quality is at risk - without waiting to be asked. - Experience with Cloud infrastructure, model serving systems, or GPU accelerated workloads is a strong plus. - Experience using AI tooling (LLMs, coding assistants, agents) to accelerate test development, triage, or analysis is a plus. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Cloud Infrastructure Engineer
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Responsibilities: - Design, build, and operate secure, scalable cloud infrastructure and identity platforms in AWS and our own data centers. - Implement and manage IAM, IGA, authentication, authorization, SSO, MFA, identity lifecycle management, and provisioning/deprovisioning solutions using modern identity platforms and standards such as SAML, OAuth2, OIDC, and SCIM. - Develop automation, integrations, and infrastructure-as-code solutions using Terraform and programming languages such as Python and Go. - Design and implement security controls for AI-powered systems, including controlled, audited, and governed agent workflows, while contributing to core security services such as service identity, secrets management, key management, authentication, and authorization. - Partner with Security and Engineering teams to deliver secure-by-design solutions, implement Zero Trust principles, and reduce operational friction. - Write high-quality, reliable code, participate in architecture and code reviews, support critical production systems, and drive operational excellence through scalability, resiliency, and automation. - Be part of oncall and incident response of Dev Productivity org. Skills & Qualifications - 5+ years of experience in Cloud Infrastructure, Identity & Access Management (IAM), Identity Engineering, or Security Engineering. - Strong knowledge of authentication, authorization, identity lifecycle management, and federation protocols including SAML, OAuth2, OIDC, SCIM, and RBAC. - Experience designing and operating identity and access controls within AWS environments, with experience building and operating production level services on AWS. - Experience working with container technology. - Experience deploying and operating services on Kubernetes. - Strong automation and coding skills with Python, Go, Terraform, or similar technologies. - A security-first mindset with experience implementing Zero Trust, least-privilege access, and compliance frameworks such as SOC2, FedRAMP, or ITAR. - An product and operational mindset with experience supporting and improving production level services through monitoring, troubleshooting, incident response, and automation. - Excellent collaboration and communication skills, with a proven ability to drive projects and influence technical decisions across teams. Preferred Skills & Qualifications - Hands-on experience with any Identity platforms - Okta, Microsoft Entra ID (Azure AD), and modern IAM/IGA platforms. - Experiences with Azure and/or GCP is a bonus. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Application Security Engineer
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. We are looking for an Application Security Engineer with a strong focus on Vulnerability Management to help secure Cerebras software, infrastructure, and AI platforms. You will own and evolve key parts of our vulnerability management program from vulnerability discovery and risk prioritization through remediation and verification. This is not a ticket-management role. We are looking for an engineer who can understand vulnerabilities in context, work directly with engineering teams, automate repetitive security work, and help eliminate classes of vulnerabilities rather than simply track individual findings. You will work closely with Engineering, Infrastructure, and IT teams to identify vulnerabilities across our products and environments and drive them to meaningful remediation. RESPONSIBILITIES - Own and continuously improve vulnerability management across applications, software dependencies, containers, operating systems, cloud infrastructure, and externally exposed services. - Use AI agents and advanced security models to augment vulnerability discovery, code analysis, adversarial testing, prioritization, and remediation. - Analyze vulnerabilities beyond scanner severity by considering exploitability, exposure, affected assets, available mitigations, and business impact. - Partner directly with engineering teams to triage findings, determine appropriate remediation, and drive vulnerabilities to closure within risk-based SLAs. - Build automation for vulnerability ingestion, deduplication, enrichment, prioritization, assignment, remediation tracking, and reporting. - Identify systemic vulnerability patterns and work with engineering teams to address root causes rather than repeatedly fixing individual findings. - Operate and improve application security capabilities including SAST, SCA, secrets detection, container scanning, infrastructure scanning, and external attack-surface monitoring. - Validate security findings through technical investigation and hands-on testing, distinguishing exploitable vulnerabilities from false positives and low-risk findings. - Perform targeted application security reviews and testing for high-risk services and features. - Help integrate security controls into CI/CD and developer workflows while minimizing unnecessary friction for engineering teams. - Develop metrics and reporting that provide meaningful visibility into vulnerability exposure, remediation performance, recurring vulnerability classes, and security risk. - Evaluate and integrate new security technologies as our software and infrastructure environments evolve. - Partner with security and engineering teams on incident response when vulnerabilities are actively exploited or require urgent remediation. SKILLS & QUALIFICATIONS We are looking for candidates who: - Have strong application security or product security fundamentals and hands-on experience with vulnerability management. - Understand common vulnerability classes and exploitation techniques across web applications, APIs, authentication systems, cloud services, containers, and software supply chains. - Can read and reason about code and work effectively with software engineers on practical remediation. - Have experience with vulnerability scanning and application security technologies such as SAST, SCA, DAST, secrets scanning, container scanning, or CSPM. - Understand vulnerability prioritization concepts including CVSS, exploitability, asset criticality, internet exposure, compensating controls, and threat intelligence. - Are comfortable investigating security findings manually rather than relying exclusively on scanner output. - Can automate security workflows using languages such as Python, Go, or similar scripting/programming languages. - Have experience integrating security tooling into CI/CD and modern software development workflows. - Are comfortable working with Linux, Git, containers, and cloud environments. - Can communicate security risk clearly to both security specialists and engineering teams. - Approach security with an automation-first mindset and look for scalable solutions instead of manual processes. PREFERRED QUALIFICATIONS Experience in one or more of the following areas is a plus: - Application Security or Security engineering background. - Securing AI/ML platforms, inference services, or large-scale compute infrastructure. - Building or operating vulnerability management programs at scale. - AWS, Kubernetes, Docker, and cloud-native environments. - Software supply-chain security and dependency management. - GitHub and CI/CD security. - Threat modeling and secure design reviews. - Penetration testing or offensive security. - External attack-surface management. - Vulnerability research or exploit validation. - Security data pipelines, APIs, and workflow automation. - Using LLMs, AI agents, or AI-assisted security tooling for vulnerability research, code analysis, penetration testing, or remediation. WHAT SUCCESS LOOKS LIKE You will help Cerebras move beyond simply finding vulnerabilities toward an engineering-driven vulnerability management program where: - The vulnerabilities that create the most meaningful risk are identified and prioritized quickly. - Engineering teams receive actionable findings with clear remediation guidance. - High-risk vulnerabilities are consistently remediated within defined SLAs. - Security findings are increasingly validated, prioritized, and routed automatically. - Recurring vulnerability classes are addressed systematically. - AI and automation reduce manual security work and accelerate both vulnerability discovery and remediation. Most importantly, you will help build security processes that scale with the speed at which Cerebras builds and deploys some of the most advanced AI systems in the world.ADD DESCRIPTION HERE Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Software Engineer, Product
ABOUT CARTESIA Our mission is to architect AI that learns from and interacts with the world like humans do. We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI. ABOUT THE ROLE Cartesia builds real-time multimodal intelligence: fast, state-of-the-art voice models and the products that make them useful. We started as a research lab, pioneered the state space model architecture, and now we're bringing that research to customers through intuitive tools for creating, testing, and shipping with voice. In this role, you'll build the product experiences around Cartesia's models. You may work across Voices, Playground, and other core surfaces as priorities evolve. You'll own work end-to-end and directly shape the quality, usability, and developer experience of how customers discover our models, understand what they can do, and put them into production. YOUR IMPACT - Build polished, intuitive experiences across Voices, Playground, and adjacent product surfaces, turning powerful model capabilities into workflows customers can understand and use. - Own customer problems end-to-end, from discovery and prototyping through implementation, launch, measurement, and iteration. - Improve the speed and confidence with which customers can evaluate, configure, and integrate Cartesia's voice models. - Define how product quality is measured, building analytics, evaluations, experiments, and regression tracking that reveal where experiences succeed or break down. WHAT YOU BRING - Experience building and operating customer-facing software in production, ideally at a high-growth startup. We care more about what you've shipped than strict years of experience. - Strong product instincts: you think in customer outcomes, usability, quality, and developer experience, and you have opinions on what to build and why. - Full-stack range and the ability to own a product surface across frontend, backend, APIs, data, and operational concerns. - Fluent use of coding agents and a habit of keeping pace with the frontier. - Clear communication with technical and non-technical audiences, strong cross-functional partnership, and a sharp presence in product and design reviews. NICE-TO-HAVES - Experience building developer tools, creative tools, playgrounds, or API-adjacent products. - Experience building AI-powered products and translating model capabilities, limitations, and quality tradeoffs into understandable user experiences. - Strong frontend craft with React and TypeScript, including polished, highly interactive workflows. - Experience with audio, media, real-time systems, product analytics, experimentation, or evaluation infrastructure. Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire. MORE DETAILS 🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore. We love being in the office, hanging out together, and learning from each other every day. 🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call. 🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way. 🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed. OUR BENEFITS (US EMPLOYEES ONLY) 💰 Compensation Competitive base salary alongside attractive equity package. 🩺 Health Insurance Fully covered medical insurance along with dental and vision for you and your family. 🧑🧑🧒🧒 Parental Leave 9 weeks paternity & 12 weeks maternity leave 🏦 401(k) 🚆 Commuter Allowance A monthly stipend to help you get to and from the office. 🏖️ Flexible PTO Take as much time as you need to recharge your batteries. 🍲 Meals & Snacks Lunch, dinner and plenty of snacks, provided daily. 🦖 Your own personal Yoshi OUR COMMITMENT TO EQUAL OPPORTUNITY Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
Engineering Manager, Infrastructure
ABOUT CARTESIA Our mission is to architect AI that learns from and interacts with the world like humans do. We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI. ABOUT THE ROLE We're hiring an Engineering Manager to lead one of Cartesia's core engineering teams as a hands-on technical and people leader. You'll build and grow a team of 7+ engineers, own its technical direction and execution, and stay close enough to the work to provide meaningful technical leadership when it matters. YOUR IMPACT - Build, lead, and develop a high-performing engineering team through hiring, coaching, performance management, and career development. - Own your team's roadmap, decisions, and outcomes, setting clear priorities and driving a high and predictable shipping cadence. - Provide technical leadership across architecture, design reviews, complex technical problems, and production incidents. - Develop a deep understanding of your team's systems and technical tradeoffs so you can challenge assumptions, make sound decisions, and unblock the team. - Partner closely with Product, Research, and other teams to set direction and deliver against company priorities. - Ensure the systems your team owns scale ahead of the business while maintaining a high bar for performance, reliability, and engineering quality. WHAT YOU BRING Given the scale and difficulty of problems we work on, we value managers who combine exceptional people leadership with strong technical judgment. - Experience managing and developing high-performing engineering teams, including coaching, performance management, and career growth. - Strong technical depth and engineering judgment, with the ability to earn credibility with experienced engineers and engage deeply in architecture and technical decisions. - A track record of leading teams to deliver complex technical projects in fast-moving, ambiguous environments. - Strong ownership and prioritization skills, with the ability to make difficult tradeoffs and balance near-term execution with longer-term investments. - Experience building large-scale distributed systems with high demands on performance, reliability, and observability. - Strong cross-functional leadership and the ability to align stakeholders around technical decisions and priorities. - [bonus] Experience building or scaling engineering teams through periods of rapid growth or organizational change. - [bonus] Background in machine learning, AI infrastructure, or generative models. Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire. MORE DETAILS 🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore. We love being in the office, hanging out together, and learning from each other every day. 🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call. 🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way. 🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed. OUR BENEFITS (US EMPLOYEES ONLY) 💰 Compensation Competitive base salary alongside attractive equity package. 🩺 Health Insurance Fully covered medical insurance along with dental and vision for you and your family. 🧑🧑🧒🧒 Parental Leave 9 weeks paternity & 12 weeks maternity leave 🏦 401(k) 🚆 Commuter Allowance A monthly stipend to help you get to and from the office. 🏖️ Flexible PTO Take as much time as you need to recharge your batteries. 🍲 Meals & Snacks Lunch, dinner and plenty of snacks, provided daily. 🦖 Your own personal Yoshi OUR COMMITMENT TO EQUAL OPPORTUNITY Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
Engineering Manager, Data
ABOUT CARTESIA Our mission is to architect AI that learns from and interacts with the world like humans do. We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI. ABOUT THE ROLE At Cartesia, the quality of our models is inseparable from the quality of our data. As we push the frontier of real-time multimodal AI, we're looking for a leader to own the systems, datasets, and research that make our training data exceptional. You'll lead our Data team, responsible for three tightly connected areas: - Data infrastructure — web-scale processing and storage that keeps petabytes of multimodal data flowing reliably to the teams that depend on it. - State-of-the-art pre-training datasets — building the multimodal annotation models that understand who said what, when, and how, and curating the data mixes that shape model behavior. - Data-centric modeling — training and evaluating models to understand what actually makes data good, and turning those insights into better datasets. You'll start by managing a team of 6–8 spanning core data infrastructure and individual modeling efforts, and grow it toward ~12 as our ambitions scale. This is a role for someone who has done this before: built and led a data team, shipped data at the scale modern models demand, and knows the difference between infrastructure that works in a demo and infrastructure that works at web scale. YOUR IMPACT - Lead and grow a high-caliber team of data infrastructure engineers and data-focused researchers, splitting focus between shared infra and dedicated modeling teams. - Set the technical direction for how Cartesia processes, stores, and serves multimodal data at web scale. - Drive the creation of SOTA multimodal pre-training datasets — including the annotation models and curation strategies that determine what our models learn. - Establish a rigorous, empirical approach to data quality: training and evaluating models specifically to understand what makes data valuable, and feeding that back into dataset decisions. - Partner closely with our modeling and research teams to make sure data work translates directly into better models. - Hire, mentor, and develop engineers and researchers as the team scales from a handful of people to a full organization. WHAT YOU BRING - Proven management experience, including directly leading a data team of at least 6 people. - Hands-on familiarity with data infrastructure at scale — processing, storage, and the systems that make large-scale data usable. - A track record of building and leading data efforts, ideally in the context of a modeling project. NICE-TO-HAVES - Previous modeling experience - Experience building data for a generative modeling organization. - Familiarity with multimodal data (audio, speech, and beyond). Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire. MORE DETAILS 🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore. We love being in the office, hanging out together, and learning from each other every day. 🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call. 🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way. 🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed. OUR BENEFITS (US EMPLOYEES ONLY) 💰 Compensation Competitive base salary alongside attractive equity package. 🩺 Health Insurance Fully covered medical insurance along with dental and vision for you and your family. 🧑🧑🧒🧒 Parental Leave 9 weeks paternity & 12 weeks maternity leave 🏦 401(k) 🚆 Commuter Allowance A monthly stipend to help you get to and from the office. 🏖️ Flexible PTO Take as much time as you need to recharge your batteries. 🍲 Meals & Snacks Lunch, dinner and plenty of snacks, provided daily. 🦖 Your own personal Yoshi OUR COMMITMENT TO EQUAL OPPORTUNITY Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
Applied Researcher, Audio
ABOUT CARTESIA Our mission is to architect AI that learns from and interacts with the world like humans do. We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI. ABOUT THE ROLE You will be responsible for leading research at the frontier of realtime conversation and human AI interaction. You will contribute across the stack to novel architectures, data, and evals for realtime audio, and translate them into state-of-the-art models used in voice agents around the world. YOUR IMPACT - Architect and develop new architectures for realtime audio understanding, generation, and speech-to-speech models that reason jointly over multiple modalities in realtime - Contribute to frontier multimodal and multilingual datasets for pre-training and post-training, including curating data mixes and developing new methods for synthetic data generation and annotation - Set new standards for how we evaluate and benchmark our audio models WHAT YOU BRING - Strong applied mindset and ability to balance scientific novelty with product impact. - Excited and able to work across the stack from infra, to data, to evals, to architecture to solve customer problems and build state-of-the-art models. - Deep expertise in deep generative modeling. Previous experience in audio understanding, audio generation, speech-to-speech, or language modeling preferred but not required. - Experience with large-scale training, GPU/TPU acceleration, and model optimization. Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire. MORE DETAILS 🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore. We love being in the office, hanging out together, and learning from each other every day. 🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call. 🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way. 🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed. OUR BENEFITS (US EMPLOYEES ONLY) 💰 Compensation Competitive base salary alongside attractive equity package. 🩺 Health Insurance Fully covered medical insurance along with dental and vision for you and your family. 🧑🧑🧒🧒 Parental Leave 9 weeks paternity & 12 weeks maternity leave 🏦 401(k) 🚆 Commuter Allowance A monthly stipend to help you get to and from the office. 🏖️ Flexible PTO Take as much time as you need to recharge your batteries. 🍲 Meals & Snacks Lunch, dinner and plenty of snacks, provided daily. 🦖 Your own personal Yoshi OUR COMMITMENT TO EQUAL OPPORTUNITY Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
Analytics Engineer
ABOUT CARTESIA Our mission is to architect AI that learns from and interacts with the world like humans do. We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI. ABOUT THE ROLE We're hiring an Analytics Engineer to build and own Cartesia's company-wide source of truth. You'll bring together product, billing, CRM, marketing, and operational data into reliable models and shared metric definitions that teams can trust. This is an early, foundational data hire. You'll fix urgent correctness issues, strengthen the warehouse and transformation layer, and create the first trusted dashboards for Product, GTM, Growth, RevOps, and leadership. The goal is not simply to answer questions—it is to build the systems, models, and standards that let the company answer them consistently. YOUR IMPACT - Own the path from source systems to canonical datasets, metrics, and dashboards. - Identify and fix data-quality issues across pipelines, models, definitions, and reporting surfaces. - Build and maintain reliable warehouse models using SQL and dbt or equivalent tooling. - Establish clear metric definitions, tests, lineage, freshness monitoring, documentation, and ownership. - Partner closely with Product, Engineering, RevOps, Growth, and GTM to translate business concepts into durable data models. - Create trusted dashboards for core company metrics such as activation, usage, billing, customer health, and marketing performance. - Make common data questions self-serve while ensuring dashboards reuse canonical logic rather than duplicating it. - Audit the existing data stack and recommend pragmatic improvements or overhauls to ETL and analytics tooling where needed. - Educate the company on how to use the source of truth and how new metrics and dashboards should be created. WHAT YOU BRING - 5+ years in analytics engineering, data engineering, or a technically rigorous analytics role, ideally at a B2B SaaS or developer-tools company. - Expert SQL and strong warehouse modeling fundamentals, including dimensional modeling, historization, and identity resolution. - Production experience with dbt or similar transformation tooling, plus testing, orchestration, monitoring, lineage, and documentation. - A track record of turning fragmented data and competing definitions into canonical, reusable models. - Experience working across product, billing, CRM, and marketing data; self-serve funnel experience is especially valuable. - Strong judgment about when a problem belongs in a source system, pipeline, warehouse model, semantic layer, or dashboard. - The ability to investigate discrepancies end-to-end and prevent them from recurring—not just patch the final report. - Strong stakeholder instincts and the ability to make ambiguous business concepts precise. - A practical, low-ego approach: willing to fix urgent issues while building toward a durable foundation. NICE-TO-HAVES - Experience as an early or founding member of a data function. - Experience with full-funnel growth analytics, attribution, channel ROI, CRM, billing, or self-serve conversion. - Experience building self-serve data workflows or using LLM-powered analytics tooling. NOT REQUIRED - Machine learning, predictive modeling, or traditional data science experience. This is an analytics engineering role focused on trustworthy systems and source-of-truth ownership. Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire. MORE DETAILS 🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore. We love being in the office, hanging out together, and learning from each other every day. 🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call. 🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way. 🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed. OUR BENEFITS (US EMPLOYEES ONLY) 💰 Compensation Competitive base salary alongside attractive equity package. 🩺 Health Insurance Fully covered medical insurance along with dental and vision for you and your family. 🧑🧑🧒🧒 Parental Leave 9 weeks paternity & 12 weeks maternity leave 🏦 401(k) 🚆 Commuter Allowance A monthly stipend to help you get to and from the office. 🏖️ Flexible PTO Take as much time as you need to recharge your batteries. 🍲 Meals & Snacks Lunch, dinner and plenty of snacks, provided daily. 🦖 Your own personal Yoshi OUR COMMITMENT TO EQUAL OPPORTUNITY Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
Software Engineer (Agent Platform)
ABOUT THE ROLE Agent Platform is Browserbase’s framework for automating browsers with code. The Agent Platform team creates developer tools at the intersection of AI and open source, making browser automation smarter, simpler, and more powerful. WHAT YOU'LL DO - Build, operate, and grow the Agent Platform framework — developer-first APIs with ~2M monthly downloads and ~17k stars. Design and implement tools that make automating the web simple and powerful. - Work with frontier AI labs (OpenAI, Google, and others) to improve models, benchmark capabilities, and make them more accessible to developers. - Deploy production-ready AI solutions that impact millions of customers, shaping the future of the web. - Help define, scope, and prioritize projects that shape the future of developer tooling. - Document as you go and share your knowledge with the team. TECHNICAL SKILLS: - Strong coding skills: preferably TypeScript; also valuable: Python/Go. - Experience building developer tools, frameworks, or libraries that others depend on. - Experience building AI agents/LLMs, distributed systems, or applying reinforcement learning. - Familiarity with web automation frameworks (Puppeteer, Playwright, Selenium) or web scraping; huge bonus: Chrome DevTools Protocol (CDP) experience. - Track record of open source contributions or public developer projects. YOU'RE A GOOD FIT IF YOU: - Have high agency: you can set direction, make judgment calls, and drive projects forward without waiting for perfect clarity. - Have a strong sense of ownership and bias toward action. - Can drive projects independently, with high accountability without much outside input. - Communicate clearly in writing and in person, and choose the right medium for the message. - Are adaptable and able to dive into unfamiliar systems, learn quickly, and make sound technical decisions. - Enjoy collaborating with a small, ambitious team in a fast-paced environment. - Are excited to work 4 days a week (WFH Wednesday) in our San Francisco HQ (or open to relocating here). WHY JOIN US: - Shape the future of browser automation with AI-driven developer tools. - Work in the open: collaborate with and contribute to the broader open source community. - Collaborate with a small, high-bar team of engineers who care deeply about quality. - Join an ambitious startup where your impact will be felt immediately. MORE ABOUT BROWSERBASE Browserbase is the complete platform to build and deploy agents that browse and interact with the web like humans. We provide one API key for agents to search and fetch information, fill out forms, and replicate user actions. We are a Series B startup that grew our revenue 5x in 2025 and are continuing to grow, fast. Backed by Kleiner Perkins, CRV, and Notable Capital, our team is building on our CEO's founding vision https://memos.hawkhill.ventures/p/an-internet-browser-for-ai to power the world's best AI tools and help everyone automate the web.
Senior Infrastructure Engineer
About Bland At Bland.com http://Bland.com, our goal is to empower enterprises to make AI-phone agents at scale. Based out of San Francisco, we're a quickly growing team striving to change the way customers interact with businesses. We've raised $100 million from Silicon Valley's finest; including Emergence Capital, Scale Venture Partners, YC, the founders of Twilio, Affirm, ElevenLabs, and many more. About the Role As a Senior Infrastructure Engineer at Bland, you'll help us to build the backbone that enables millions of AI-powered phone conversations. You're not just keeping servers running, you're architecting distributed systems that handle real-time voice processing, scale ML inference, and integrate with enterprise telephony infrastructure. Your work directly determines whether our platform can handle business-defining call volumes for our customers, or leaves them with dead air. What You'll Do - Contribute to the designing of scalable architecture: Build distributed systems using Kubernetes that handle high-volume, real-time voice processing with strict latency and reliability requirements. - Build and Support ML infrastructure: Create and optimize the infrastructure supporting our AI models, from training pipelines to real-time inference serving across multiple regions. - Integrate with telephony: Maintain robust connections between our platform and complex enterprise phone systems, SIP trunks, and VoIP infrastructure. - Recognize Flaws, Control for them: We’re building a new type of architecture that takes something from Column A, and Column B. We’re never going to get it perfect, so you’ll be helping us keep a look out for what we need to solve. - Ensure reliability: Implement monitoring, alerting, and incident response systems that keep our platform running 24/7 with enterprise-grade uptime. - Scale with growth: Anticipate and solve scaling challenges before they become problems—our call volume grows exponentially and infrastructure needs to stay ahead. - Security and compliance: Implement security best practices and compliance requirements for enterprise customers in regulated industries. Interesting Problems to Own - Old-Meets-New: Telephone calls have been around for awhile. Now, with an explosion in modern technologies, comes interesting new ways to wrangle old-school protocols and techniques. You’ll have the space to be creative and really own a new emergent type of architecture. - Sizable Call Volumes requires new approaches: Understand and deeply invest in ensuring that we match any amount of customer’s customers call volume! We need unique solutions, that you’ll help us discover along the way. - Streaming Architectures: On top of building to support our APIs, you’ll also be building to helping maintain the reliability, failover, and scaling of our important stream-based traffic. What Makes You a Great Fit - Infrastructure expertise: 5+ years building and scaling distributed systems, with deep knowledge of cloud infrastructure (AWS/GCP preferred). - You “get” the fundamentals, and beyond: For example, you can casually tell someone how TLS works beyond buzzwords, do a quick sketch of how different load balancing strategies work, or even tell us the obscure thing you fell asleep reading about last night. There isn’t a blank stare, there’s an excitement to share. - Real-time systems experience: You've built systems that handle high-throughput, low-latency workloads, streaming, real-time processing, or similar. - Startup mentality: You've worked at fast-growing companies where you wear multiple hats and solve problems as they come up. - You’re opinionated, but you’re not alienating: You accept that opinions drive progress, but you don’t intend to break into alienating discussions at the risk of not finding compromises for our customers. - You’re familiar with some tools/components like: Cloudflare, HAProxy, Go, TypeScript, Datadog, Terraform, Docker, Kubernetes, Nvidia Hardware (nvlink for example), and anything in between. Bonus Points If You Have - Experience with telephony systems (SIP, VOIP, WebRTC.) - Background in ML infrastructure, model serving, or GPU computing. - Experience with real-time audio/video processing. Benefits and Pay: - Healthcare, dental, vision, all the good stuff - Meaningful equity in a fast-growing company - Every tool you need to succeed - Beautiful office in Levi's Plaza, SF with rooftop views If you don't have the perfect experience that is fine! We're a bunch of drop-outs and hackers. Working at a start-up is really hard. We work a lot and we figure things out on the fly. Compensation Range: $120,000-$200,000
Enterprise Solutions Engineer
Enterprise Solutions Engineer Reports To: Taylor Hyde https://www.linkedin.com/in/taylor-hyde/ – VP, Sales Location(s): San Francisco preferred (3–5 days in office); open to remote Title: Enterprise Solutions Engineer Experience Level: Individual Contributor Function: Pre-Sales | Solutions Engineering Core Product: Bland AI – Enterprise Voice AI Agent Platform Business Model: Platform fee (tiered) + consumption-based per-minute pricing Total Funding: $100M+ raised; most recent $50M Series C led by Dell Technologies Capital About Bland AI Bland AI is the enterprise voice AI platform built for organizations with high-volume, complex customer conversations. Founded by Sobhan Nejad and Isaiah Granet in San Francisco, Bland built its own voice models and infrastructure from the ground up to solve the latency, reliability, and control challenges that have historically limited enterprise adoption of voice AI. Today, Bland powers more than 3.5 million calls per week across regulated industries and has raised over $100M to accelerate its mission of building the most secure enterprise platform for high-stakes customer interactions. Today, Bland's platform fully resolves up to 65% of inbound calls autonomously—handling not just FAQs, but multi-step workflows, authentication, business-rule-based routing, and live data lookups. For large contact center operators, every additional percentage point of autonomous resolution can translate to $500K–$1M+ in annual savings, making the ROI story unusually compelling. Bland's biggest technical differentiator is that it owns and operates the entire voice stack in-house—speech recognition, orchestration, and text-to-speech—rather than stitching together third-party APIs. This architectural approach gives enterprise customers greater reliability, security, governance, and customization, particularly in highly regulated industries. Why This Role Matters Bland is building a more structured pre-sales motion as enterprise demand grows. Today, pre-sales is supported by a founding sales engineer, founders, AEs, and forward-deployed engineers. As the market becomes more competitive, Bland needs Solutions Engineers who can help prospects understand not just what the product does, but why Bland is the right technical and business choice. This is a hands-on IC role focused on technical discovery, demo execution, POV scoping, and technical evaluation. You’ll partner closely with AEs, FDEs, Product, and Engineering to help Bland win enterprise deals by proving value quickly and credibly. This is not a traditional “demo-only” SE role. You’ll be expected to get deep into customer workflows, understand the technical and operational environment, scope POVs tightly, configure compelling demos, and keep evaluations moving with urgency. Role Overview As a Solutions Engineer at Bland, you’ll own the technical side of the sales process from discovery through Proof of Value. You’ll help customers understand where Bland can create ROI, how the platform fits into their existing systems, and what a successful deployment could look like. You’ll be one of the first dedicated SEs at the company, meaning you’ll have the opportunity to shape the motion as it evolves – but the immediate need is execution: running strong discovery, building great demos, managing technical evaluations, and helping enterprise buyers feel confident choosing Bland. Core Responsibilities TECHNICAL DISCOVERY & QUALIFICATION - Lead technical discovery with prospective customers to understand call center workflows, existing systems, integration requirements, operational pain, and AI readiness. - Identify where Bland can deliver the clearest ROI and where the platform is best positioned to win. - Qualify technical fit early so the team invests time in the right opportunities. - Surface Bland’s technical differentiators naturally in discovery, especially around reliability, latency, security, governance, and customization. - Work closely with AEs to define the technical win strategy for each opportunity. DEMO & PROOF OF VALUE EXECUTION - Design and run demos that map directly to a customer’s workflows, not generic product walkthroughs. - Scope POVs around clear success criteria, timelines, milestones, and stakeholder expectations. - Configure custom voice agent demos and technical proof points that show how Bland handles real-world complexity. - Keep POVs focused and commercially relevant, avoiding unnecessary scope creep or “science projects.” - Partner with FDEs and Engineering when deeper technical resources are needed, while protecting their time and keeping the sales process efficient. - Drive urgency throughout the evaluation process by clearly defining next steps, owners, and decision points. TECHNICAL CREDIBILITY & CUSTOMER PRESENCE - Act as a credible technical voice in front of technical buyers, operators, InfoSec teams, procurement, and executive stakeholders. - Explain Bland’s architecture, in-house voice stack, integration approach, and data/security posture in a clear and commercially relevant way. - Support prospects through RFIs, security questionnaires, technical due diligence, and enterprise procurement processes. - Build trust with skeptical buyers by being direct, knowledgeable, and honest about both Bland’s strengths and current limitations. - Help customers understand what is possible today, what requires additional configuration, and what is not the right fit. CROSS-FUNCTIONAL PARTNERSHIP - Partner closely with AEs on discovery, win plans, POV strategy, and deal execution. - Collaborate with FDEs on handoff, resource planning, technical feasibility, and implementation readiness. - Feed product gaps, competitive learnings, customer feedback, and recurring technical objections back to Product and Engineering. - Contribute to demo assets, POV templates, technical documentation, and repeatable pre-sales materials as the motion matures. - Help define what “great” looks like for Solutions Engineering at Bland as the team scales. Ideal Candidate Profile / Role Requirements We’re looking for someone who can sit at the intersection of technical depth, customer presence, and commercial urgency. You should be comfortable going deep with technical buyers, configuring compelling demos, and working side-by-side with sales to move deals forward. You do not need to be an LLM or voice AI expert today, but you should be highly curious, technically sharp, and excited to ramp quickly in one of the fastest-moving categories in AI. Must-Have Experience - 4–8+ years of Solutions Engineering, Sales Engineering, or technical pre-sales experience at a B2B SaaS company. - Experience running technical discovery and supporting enterprise sales cycles. - Has owned or meaningfully contributed to technical POVs, POCs, pilots, or evaluations. - Strong understanding of how to define POV success criteria, manage scope, and keep technical evaluations on track. - Technical enough to configure demos, understand APIs, work with prompts, reason through integrations, and engage credibly with customer engineering or IT teams. - Commercially strong enough to partner closely with AEs and understand how technical work ties back to deal progression. - Comfortable operating in ambiguity at an early-stage or high-growth company. - Genuine interest in AI, LLMs, voice automation, and enterprise workflow transformation. Nice-to-Have Experience - Background at a horizontal platform, developer infrastructure, API, automation, or workflow company. - Experience with voice AI, conversational AI, CPaaS, CCaaS, contact center technology, or customer support automation. - Experience selling into regulated or operationally complex industries such as healthcare, financial services, insurance, logistics, or enterprise support. - Has helped build or improve demo environments, POV frameworks, SE playbooks, or technical evaluation processes. - Startup experience where the pre-sales motion was still being defined. What "Great" Looks Like in This Role - You quickly understand a customer's business, technical environment, and call center workflows, identifying where Bland can drive measurable ROI. - You can articulate why Bland's self-hosted voice infrastructure matters and confidently engage with architects, engineering leaders, security teams, and other highly technical stakeholders. - You intuitively understand both business and technical requirements, identify the fastest path to value, and clearly communicate that plan to the customer. - You build demos that feel tailored to the customer's business—not like a canned product tour. - You scope POVs that are achievable, commercially focused, and tied to clear success criteria, timelines, and buying milestones. - You understand how enterprise customers buy software and tailor technical evaluations to the priorities of executives, operators, engineering, procurement, and InfoSec stakeholders. - You know how to control technical evaluations so they don't drift, stall, or balloon in scope. - You are credible with technical buyers while remaining commercially oriented, partnering closely with AEs to drive the technical win. - You are direct and honest with customers, especially when discussing tradeoffs, security, implementation complexity, and product limitations. - You move with urgency and are never the bottleneck. - Every POV you run makes the next one stronger by documenting learnings, improving the process, and raising the bar for the team. Compensation & Benefits - Significant equity in a high-growth, well-funded AI company - SF-based with strong in-person culture - Full benefits package Additional Information Bland is an equal opportunity employer. We are committed to proving equal employment opportunities to all qualified applicants and employees and do not discriminate based on any legally protected characteristic. Bland participates in the E-Verify employment verification program. All new hires are required to complete the Form I-9, and employment will be verified though E-Verify as part of the onboarding process.
Agent Solutions Engineer
Agent Solutions Engineer ABOUT BLAND AI We’re a Series C startup, and have raised $100 million from Emergence Capital, Y Combinator, Dell Technologies Capital and the founders of PayPal and Twilio. Bland.ai http://Bland.ai builds AI voice agents that handle real phone calls for some of the largest companies in the world. Our software runs inside critical workflows at companies like Samsara, Gallup, TripAdvisor, Snapchat, Signant Health, Better.com http://Better.com, and others. WHY THIS ROLE EXISTS Every customer is different — the problems they’re solving, the data they have, and the impact they want to create with AI. We’re looking for someone who thrives in that ambiguity, who can take fuzzy goals and transform them into working, production-ready agents that deliver real value. You’ll work directly with customers to understand their workflows, build tailored agents, and help shape how Bland is adopted across their organization. What You’ll Do - Design and deploy AI solutions. Work closely with customers to translate their challenges into functional agents, integrating APIs and data sources to automate real business processes. - Prototype fast, iterate faster. Build the first version quickly, get it into production, and refine based on real-world feedback. - Collaborate deeply. Partner with customer teams across engineering, product, and operations to ensure the agent performs, scales, and delivers measurable outcomes. - Own end-to-end delivery. From discovery call to deployment, you’ll lead the technical build, testing, and iteration — ensuring the experience feels natural, human, and on-brand. - Drive adoption and expansion. Share results, train teams, and embed yourself within the customer organization to uncover new opportunities for automation and scale. - Be the face of Bland. You are the customer’s champion, their best employee, and you treat them with unreasonable hospitality. You travel on-site, get to know our customers on a human level, and develop real relationships with our champions and other stakeholders, going above and beyond to host training sessions and dinners. MUST-HAVE QUALIFICATIONS - 3–10 years of experience in full-stack, AI, or solutions engineering roles where you owned builds from concept to production. - Proven experience building and integrating AI or automation features into real-world applications. - Hands-on experience integrating LLMs or AI SDKs into web applications. - Strong comfort working with REST/JSON, scripting languages (Python or JavaScript), and modern dev tools (Git, NPM/PNPM). - Track record of ownership and grit — moments where you built something from scratch, solved hard problems, or exceeded expectations. - Excellent communication skills — you can explain complex AI concepts clearly to both technical and non-technical audiences. - Thrives in a fast-moving, high-intensity environment — motivated by challenge, curiosity, and the pursuit of great work. - Willingness to work in-person frequently (SF HQ and customer sites) to collaborate and accelerate learning. NICE-TO-HAVES - Hands-on experience experimenting with or deploying LLM-powered tools or agents. - Prior startup or founder experience — you know what it takes to build without a playbook. - Curiosity about AI agent design, orchestration, and automation systems. - Experience working directly with customers to identify pain points and turn them into shipped solutions. - A portfolio of personal or side projects that showcase creativity, technical depth, and persistence. - Exceptional new grads with strong ownership and ambition are welcome to apply. WHY YOU'LL LOVE WORKING HERE You’ll be joining one of the fastest-moving AI teams in the world — where speed, creativity, and ownership are the default. You’ll ship real agents used by real customers, working directly with teams that are transforming how humans and AI collaborate. This role is perfect for someone who loves building, learning, and pushing boundaries a hands-on candidate who wants to see their work in the wild, solving real problems for real people. RELENTLESSNESS IS THE MOST IMPORTANT QUALITY - If you think you’re missing relevant experience but you’re a fast learner who’s excited for a new challenge – and you have the intangibles our team is looking for – please reach out. As long as you’re resourceful and a fast learner (and you can prove it to our team) we would love to meet you. Additional Information Bland is an equal opportunity employer. We are committed to proving equal employment opportunities to all qualified applicants and employees and do not discriminate based on any legally protected characteristic. Bland participates in the E-Verify employment verification program. All new hires are required to complete the Form I-9, and employment will be verified though E-Verify as part of the onboarding process.
Senior Partnerships Manager
This role can be office-based in San Francisco, USA or remote-first, with a requirement to be in the office one full week per month. ABOUT BLACK FOREST LABS We’re the team behind Latent Diffusion, Stable Diffusion, and FLUX—foundational technologies that changed how the world creates images and video. We’re creating the generative models that power how people make images and video—tools used by millions of creators, developers, and businesses worldwide. Our FLUX models are among the most advanced in the world, and we’re just getting started. Headquartered in Freiburg, Germany with a growing presence in San Francisco, we’re scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity. WHY THIS ROLE This isn't a "close deals and hit quotas" role. You'll be architecting the commercial layer of a technology that's still being invented. What does pricing look like when your product gets exponentially better every quarter? How do you structure partnerships when your API serves both scrappy startups and global enterprises? What distribution channels don't exist yet—but should? You'll work directly with our technical team to translate research breakthroughs into market opportunities, often before the market knows it needs them. One week you might be negotiating custom enterprise agreements; the next, designing pricing models for capabilities we just shipped. WHAT YOU’LL WORK ON - Drive business growth through strategic partnerships and custom deal development, from initial outreach through close - Develop pricing strategies for capabilities that may not have existed six months ago - Collaborate with Research, Engineering, Finance, and Legal to lead complex product, data, and distribution deals - Identify and forge new distribution and monetization channels the market hasn't imagined yet - Translate technical capabilities into commercial opportunities, working directly with engineers to understand product requirements and limitations - Structure partnership models that serve both API users and enterprises running models on-premise WHAT WE’RE LOOKING FOR You have deep technical fluency. Either you've worked in image/video generation (at companies building diffusion models, creative tools, or visual AI products) or you come from a technical background—solutions architect, engineer, technical product manager. You can discuss model architectures, inference optimization, and training pipelines with our research team, then translate those capabilities into commercial value propositions. You've done serious business development in technical domains where you had to learn fast and think structurally. You understand SaaS business models, API pricing, and enterprise licensing. You're comfortable with ambiguity—when a partner asks "Can your model do X?" and X is something we could build but haven't yet, you know how to navigate that conversation honestly. You care about craft. You want to work with a small, technically exceptional team that's building in public and pushing boundaries. You have strong opinions about how this market should evolve, and you're ready to shape it. Required: - Technical foundation: Either prior experience in image/video generation companies OR a technical background (engineering, solutions architecture, technical product roles) - Proven track record in BD/partnerships in AI, cloud, or technical infrastructure - Deep understanding of SaaS business models, API pricing, cloud consulting, and enterprise licensing - Ability to hold technical conversations with engineers and translate them into commercial strategy - Strong relationship-building with track record of maintaining long-term partnerships - Analytical rigor and market research capabilities Nice to have: - Experience with diffusion models for image/video generation - Early-stage, high-growth startup experience - B2B API and model weight licensing sales models - Open-source business model experience HOW WE WORK TOGETHER We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all. We’ll discuss what this will look like for the role during our interview process. Everything we do is grounded in four values: - Obsessed. We are a frontier research lab. The science has to be right, the understanding deep, the product beautiful. - Low Ego. The work speaks. The best idea wins, no matter who said it. Credit is shared. Nobody is above any task. - Bold. We take the ambitious bet. We ship, we do not wait for conditions to be perfect. - Kind. People over politics. We treat each other with genuine warmth. Agency without empathy creates chaos. If this sounds like work you’d enjoy, we’d love to hear from you. Base Annual Salary: EU €135,000 - €190,000 + variable + equity US $175,000 - $240,000 + variable + equity Note: Our recruitment process uses AI-assisted tools to help manage and organize applications. All hiring decisions are always made by our team.
Product Engineer
ABOUT BLACK FOREST LABS We’re the team behind Latent Diffusion, Stable Diffusion, and FLUX—foundational technologies that changed how the world creates images and video. We’re creating the generative models that power how people make images and video—tools used by millions of creators, developers, and businesses worldwide. Our FLUX models are among the most advanced in the world, and we’re just getting started. Headquartered in Freiburg, Germany with a growing presence in San Francisco, we’re scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity. WHY THIS ROLE We're looking for a Product Engineer to build the experiences people meet our models through. You'll work alongside our researchers and infrastructure engineers to turn frontier model capabilities into interfaces that feel fast, considered, and obvious to use. You'll own the surfaces developers and creatives touch first: - Playground https://dashboard.bfl.ai/playground - where most developers and creatives experience and test our models - Dashboard https://dashboard.bfl.ai - where developers manage keys, usage, and billing - Launch demos for new FLUX models, often built against checkpoints nobody outside the lab has seen - Reference implementations and starter apps that other developers build on top of Day to day, that means: - Shipping high-quality web applications end to end, fast - Turning research capabilities into product - first prototype through to production - Owning frontend architecture and the practices the rest of the engineering team builds on - Setting the visual bar - the shared components, interaction detail, and polish that everything else gets held against - Designing for genuinely hard interaction problems: long-running generations, iterative editing, large media payloads, real-time inference - Driving performance for high-volume media processing and latency that users actually feel - Working with research, infra, growth, and design to decide what's worth building at all WHAT YOU’LL WORK ON Most of our code is written by agents. The job is deciding what to build, decomposing it so agents can execute well, and reviewing what comes back with enough judgment to catch what's subtly wrong. We care far more about how quickly you can go from idea to working, reviewed, shipped product than about which frameworks you've memorized. This is a frontend-leaning full-stack role. You'll live in the frontend and own it, but you'll be comfortable following a feature into the API layer, the database, and a migration without waiting for someone else. WHAT WE’RE LOOKING FOR - A track record of shipping real products that real users depend on, and the war stories to go with it - Fluency driving coding agents on non-trivial existing codebases, not just greenfield demos — plus the judgment to review generated code critically, catching the plausible-but-wrong, the insecure, and the unmaintainable - A clear view on where agents should not be trusted, and why - Visual craft — your interfaces look considered, and you can tell the difference between shipped-and-fine and actually good. Comfortable working from a Figma file or from nothing - Strong product sense: you make UX and technical tradeoffs deliberately, and can explain them to people who don't write code - Excellent debugging instincts, wherever the bug turns out to live - Comfort with the ambiguity and pace of an early-stage lab — loose requirements, shifting priorities, and nobody to tell you what to do next NICE TO HAVE: - Experience with React, TypeScript, and Next.js (we use them - we just don't think they're the hard part) - A track record of building developer tools or creative applications - Previous experience building interfaces on top of generative models, and working knowledge of AI/ML concepts - Instrumentation and experimentation experience: analytics, A/B testing, activation funnels - Contributions to open-source projects HOW WE INTERVIEW: Expect to build something live, on your own machine, with whatever tooling you normally use. Using coding agents is encouraged rather than merely tolerated - we want to see how you actually work, not how you perform without your tools. The process is four conversations plus a half-day onsite in Freiburg, and we cover travel. We'll share the full process upfront. WHAT WE OFFER YOU: - The chance to put the first interface on frontier image and video models, sometimes before anyone outside the lab has seen them - Work alongside the researchers who invented much of modern generative media - Competitive salary, equity and benefits programs - Hybrid working environment from our HQ in Freiburg (Germany) with regular global off-sites HOW WE WORK TOGETHER We’re a distributed team with real offices that people actually use. You’ll join us in Freiburg at least 2 days a week and we’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all. We’ll discuss what this will look like for the role during our interview process. Everything we do is grounded in four values: - Obsessed. We are a frontier research lab. The science has to be right, the understanding deep, the product beautiful. - Low Ego. The work speaks. The best idea wins, no matter who said it. Credit is shared. Nobody is above any task. - Bold. We take the ambitious bet. We ship, we do not wait for conditions to be perfect. - Kind. People over politics. We treat each other with genuine warmth. Agency without empathy creates chaos. If this sounds like work you’d enjoy, we’d love to hear from you. Base Annual Salary: EU €140,000 - €190,000 + Equity Note: Our recruitment process uses AI-assisted tools to help manage and organize applications. All hiring decisions are always made by our team.
Machine Learning Engineer: Perception Analytics
JOIN THE TEAM BRINGING ADVANCED AUTONOMY TO THE BUILT WORLD At Bedrock, we're moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects. We're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction. This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us. MACHINE LEARNING ENGINEER: PERCEPTION ANALYTICS We are looking for a perception engineer to build features for our customers' analytics. This isn’t just a data science job. This is developing fundamental perception features to drive customer-facing platforms. What are the real-world challenges in measuring dig productivity from lidar/camera data? Can we modify existing perception systems to provide useful metrics for job sites? How do you measure safety over an entire site given perception systems? How do you re-identify the same objects across dozens of camera views on a site several city blocks wide, through dust and changing light? WHAT YOU’LL DO: - Extend, modify and adapt existing perception signals for analytics needs - Work with customers to define and scope what is possible with advanced perception systems on-site - Deploy models and analytics directly to fleets of machines WHAT WE'RE LOOKING FOR: - MSc or advanced degree in Computer Science, Robotics, or a related field - 4+ years of professional experience shipping perception systems to production (ideally on robotic or other embedded platforms), with strong hands-on experience in a modeling framework (e.g. PyTorch) - Proficient in Python and comfortable reading and writing at least one systems language (e.g. C++, Rust) - Hands-on experience incorporating raw sensor data (camera, lidar, IMU) into learned pipelines - Solid grounding in 3D geometry, sensor calibration (intrinsics/extrinsics), coordinate transforms, and camera/image re-projection algorithms - Strong data analysis skills across statistical characterization of sensor data, corner-case and anomaly discovery, and evaluation design WAYS TO STAND OUT: One or more of the following: - Prior experience working with customers to understand perception data and analytics - Experience with the Rust programming language - Published work in top-tier venues such as ICRA, IROS, CVPR, ECCV, ICCV, CoRL, or RSS OTHER SPECIAL ASPECTS OF THE ROLE: - Based in the Bay Area with the ability to be onsite at our SF office on a daily/weekly basis Bedrock Robotics is an Equal Opportunity Employer We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic. Reasonable Accommodations We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
Strategic Finance, GTM
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re looking for a high-performing strategic finance professional to join our growing GTM Finance team. Our business grows with our customers' usage, which makes the finance function highly strategic at Baseten: growth, pricing, margin, and capacity decisions are business model decisions. You'll sit at the center of them, partnering directly with GTM leadership and reporting into a finance team with a seat at the table for the calls that shape the company's trajectory. This role is ideal for someone with 3 to 7 years of experience across strategic finance, investing, and/or investment banking who wants broad exposure to company-building inside a fast-scaling AI infrastructure company. Experience at a usage-based software company is a plus. RESPONSIBILITIES - Own financial planning, forecasting, and budgeting processes for the GTM org - Build and maintain financial models across revenue, S&M spend, headcount, and strategic bets - Analyze the metrics that define a usage-based business – ARR, gross margin, consumption trends, retention, and GTM efficiency - Partner with GTM leaders to set targets, evaluate growth initiatives, shape pricing, and design sales compensation - Help prepare board materials, investor updates, and fundraising analyses - Improve financial reporting, dashboards, and operational rigor so our infrastructure scales as fast as our revenue - Work cross-functionally to turn ambiguous business questions into actionable insights REQUIREMENTS - Bachelor's degree in Business Administration, Finance, or Economics required - 3+ years of experience in strategic finance at a high-growth company, PE/VC investing, and/or investment banking - Excellent financial modeling and analytical skills - Ability to synthesize complex information into clear recommendations for executives - Comfortable operating as a generalist in a fast-moving environment - Strong attention to detail with a bias toward ownership and execution - Excellent communication and presentation skills - High intellectual curiosity and interest in AI / infrastructure / developer tooling - Advanced Excel / Google Sheets skills; familiarity with SQL or BI tools is a plus NICE TO HAVE - Experience in sales finance and/or sales compensation - Experience in AI/ML, cloud infrastructure, or SaaS - Familiarity with usage-based business models BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Solutions Architect
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Solutions Architect at Baseten you will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnership with Sales and Engineering. RESPONSIBILITIES - Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts). - Lead demos and technical scoping to align on success criteria, architecture, and deployment approach. - Own benchmarking and repeatable deployments, including: - Handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, Voice AI, etc. - Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups. - Driving consistent “playbook” style deployments for common models and use cases. - Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM and all the common configurations and tradeoffs between them - Drive POC and project execution, including: - Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps. - Acting as the “ringleader” or project manager for POCs. - Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed. REQUIREMENTS - AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders. - Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements. - Technical depth to scope solutions, without needing to write production code. - Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows. NICE TO HAVE - Experience running or supporting benchmarks for ML inference deployments. - Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning). - Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Software Engineer - Infrastructure
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core infrastructure, enabling developers to deploy, scale, and monitor ML models with high performance. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Infrastructure team: - Multi-cloud capacity management https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/ - Inference on B200 GPUs https://www.baseten.co/blog/accelerating-inference-nvidia-b200-gpus/ - Multi-node inference https://www.baseten.co/blog/how-multi-node-inference-works-llms-deepseek-r1/ - Fractional H100 GPUs for efficient model serving https://www.baseten.co/blog/using-fractional-h100-gpus-for-efficient-model-serving/ RESPONSIBILITIES - Develop infrastructure components for our ML inference platform using Python and Go - Implement and maintain Kubernetes deployments for model serving - Contribute to our inference orchestration layer for model deployments - Build and enhance monitoring systems for model performance metrics - Implement efficient resource management solutions for ML workloads - Support infrastructure automation to improve ML deployment workflows - Work closely with team members to implement technical solutions - Help balance performance optimization with system reliability - Participate in technical discussions around infrastructure improvements - Learn and apply infrastructure best practices REQUIREMENTS - Bachelor's degree or higher in Computer Science or related field - Proficient coding abilities in one or more popular programming or scripting languages; Go proficiency is a plus - Working knowledge of Kubernetes and containerization - Basic understanding of machine learning concepts and model serving - Familiarity with distributed systems concepts - Experience with basic monitoring and logging tools - Interest in ML/AI infrastructure and willingness to learn - Strong collaboration and communication skills BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Software Engineer - Enterprise Platform
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE The largest, most demanding enterprises are starting to run on Baseten, and they arrive with a range of security, compliance, and procurement requirements. As an Engineer on Baseten's enterprise engineering team, you'll build the capabilities that enable large organizations like Writer, HubSpot, and Notion to succeed on Baseten. Enterprise engineering authors the core building blocks, APIs, and user experiences powering the Baseten platform: identity and access management, billing, regional isolation, and self-hosted and single-tenant deployment options. This is deep product and systems work across the full stack, from designing authentication and authorization systems using standards like OAuth and OIDC to shipping the admin experiences enterprise IT teams use to manage their organization. EXAMPLE INITIATIVES Recent and upcoming work on the team: - Fine-grained authorization for users, service accounts, and agentic workloads - SSO and SCIM support, allowing customers to centralize and automate access to Baseten - Expanding the billing platform to support evolving pricing models, advanced data exports, and controls to manage spend - In-product management and enforcement of customer compliance requirements like data residency and HIPAA - Securing network paths in and out of a customer's models with private connectivity and ingress and egress restrictions - Allowing customers to run Baseten inside their own VPC, on-prem, or a dedicated single-tenant environment RESPONSIBILITIES - Lead complex, ambiguous engineering initiatives from problem definition and technical design through implementation, launch, and iteration. - Make thoughtful architectural decisions, balancing near-term customer needs with long-term simplicity, scalability, and maintainability. - Partner with product, design, and customer-facing teams to translate user feedback and requests into product requirements and durable technical solutions. - Establish strong engineering practices for quality, security, observability, and operational ownership. - Provide technical leadership and mentorship, helping teammates grow while raising the quality of design and execution across the team. REQUIREMENTS - Experience building enterprise software, including work on one or more of: identity and access management, billing systems, multi-tenant isolation controls, private connectivity, or compliance program initiatives. - Demonstrated ability to lead technical projects, develop and operate systems running at scale, and collaborate with customers to understand their needs. - Comfort working across the full stack, from product and application code to cloud and Kubernetes infrastructure. - Preferred: Experience building AI or data-intensive infrastructure products. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Software Engineer - Continuous Delivery
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten is seeking talented and experienced Software Engineers to join our Platform team within the Infrastructure organization. As an early member of Baseten's Platform Team, you will be pivotal in building internal infrastructure to support our engineering organization. You will own the deployment platform, release pipelines, and rollout safety mechanisms that allow engineers across Baseten to deploy changes rapidly while minimizing operational risk. Our mission is to make production deployments fast, safe, and increasingly autonomous. If you are passionate about elegant solutions—like streamlined monorepos, lightning-fast CI pipelines, and thoughtfully designed shared libraries—you'll thrive at Baseten. RESPONSIBILITIES - Design and build continuous deployment infrastructure that safely rolls out changes across dozens of Kubernetes clusters and global regions. - Develop systems for progressive delivery, including canary releases, staged rollouts, and automated rollback. - Improve engineering velocity by reducing friction in the release pipeline and automating manual operational workflows. - Work with product and infrastructure teams to ensure their services are deployable, observable, and resilient at scale. - Implement and evolve deployment methodologies such as GitOps, infrastructure-as-code, and progressive delivery patterns. - Build systems that automatically evaluate deployment health using metrics, logs, traces, and alerts to detect regressions and trigger safe rollbacks. - Interest in building systems that support agent-assisted or autonomous deployment workflows using modern AI tooling. REQUIREMENTS - Strong-level proficiency in Go and/or Python. - Have worked with Kubernetes-based deployment systems at scale - Have experience building or operating continuous deployment platforms - Are familiar with GitOps tooling such as ArgoCD or Flux - Care deeply about safe production rollouts and minimizing blast radius - Excellent developer tool culture with a focus on best practices. Bonus points if you have personally developed open-source developer tools. - Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Social Media Manager
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for a social media manager to own how Baseten shows up on social. Our audience is ML engineers, infrastructure teams, and technical founders, and most of them meet us first on X or LinkedIn, around a model launch, a benchmark, an open source release, or a customer result. This role decides what that first impression is. This is a senior individual contributor role. You set the strategy and you write the posts. Day to day you'll work with product marketing, comms, design, our engineers, and our founders. This role relies on technical credibility. You don't need an engineering background, but you do need to understand what we're claiming and why it matters. We post about latency, throughput, and GPU cost, and we hold ourselves to getting those details right. RESPONSIBILITIES - This role is the face of the Baseten brand on our social channels and builds our direct line of communication with the community across X, LinkedIn, YouTube, and the communities where our audience already spends time. - Track the conversation across AI and open source, and move quickly when we have something useful to add. - Set the social strategy: what we post where, how each account grows, and how we measure it, with a clear point of view on which channels deserve investment and which don't. - Translate technical work into posts worth sharing: model launches, benchmark results, open source projects, engineering deep dives, and customer outcomes. - Lead the social side of launches alongside product marketing, product, and engineering. - Produce content. Shoot and edit short-form video at events, in the office, and around launches, and brief a freelancer or design partner when that's faster. - Scale the voices of our team. Help engineers, GTM, and leadership post in a way that still sounds like them, and ghostwrite where it helps. - Report on follower growth, engagement, reach, and share of voice against goals, and change the plan when the numbers say to. - Manage the contractors and creators who extend our output beyond one person. REQUIREMENTS - 5+ years running social for a technical, developer-facing, or B2B technology brand, most of it as the person writing and shipping the posts. - A track record of growing an account. We'll ask you to walk us through posts you wrote and what made them land. - Technical fluency to write accurately about inference, GPUs, and model performance, and to ask our engineers the right follow-up questions. - Native fluency on X and LinkedIn, and comfort producing short-form video. - Experience being trusted with a brand account, including the judgment calls about what not to post. - Comfort in a fast launch cycle where the plan changes and the window to react is short. - A point of view on how AI companies show up online, with specifics on who does it well. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Site Reliability Engineer
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Site Reliability Engineer at Baseten, you'll define and codify the gold standards of day 2 operations for our ML infrastructure platform. You'll envision and build robust systems, processes, automations, and observability tooling that keep our platform reliable at scale — and that empower the broader organization to operate confidently. You'll work closely with engineering, forward-deployed and product teams: learning from recurring failure patterns, turning tribal knowledge into automated mitigations, and raising the operational floor for the entire company. EXAMPLE INITIATIVES You'll work on projects like these as part of the SRE team: - Improve Baseten SRE Practices, by instrumenting SLOs and SLIs, improving alerting and observability for all services. - Building AI-assisted tooling for incident triage and response. RESPONSIBILITIES - Own the reliability of Baseten's multi-cloud Kubernetes infrastructure, including incident response, post-mortems, and remediation tracking. - Build and maintain observability infrastructure — metrics, logging, dashboards, and alerting — as code. - Author, validate, and improve runbooks for recurring failure patterns, ensuring they're structured for low-context, safe execution. - Identify high-frequency failure patterns and convert them into automated mitigations or self-healing automations. - Diagnose and resolve runtime issues related to latency, memory behavior, GPU utilization, concurrency, and model lifecycle management. - Define and instrument SLOs and SLIs across customer workloads and internal services. - Navigate ambiguity, make principled tradeoffs, and avoid unnecessary complexity in the systems you build and the processes you define. REQUIREMENTS - Extensive hands-on experience with Kubernetes (multi-cloud experience across EKS, GKE, or similar is a strong plus). - Experience in building and maintaining scalable infrastructure. - Strong foundation in observability tooling: metrics (VictoriaMetrics, Prometheus), logging (Loki, ELK), dashboards (Grafana), and alerting pipelines. Observability-as-code experience is a plus. - Experience with infrastructure-as-code (Terraform, Helm) and GitOps workflows (Flux CD, ArgoCD). - Experience writing and improving runbooks, leading incident response, and doing post-mortem analysis. - Comfort working at the intersection of engineering and operations — you write code, but you also think deeply about process, escalation paths, and operational leverage. - Familiarity with incident management platforms (incident.io http://incident.io or similar) is a plus. - No prior ML experience required, but curiosity about how ML models are deployed and served at scale will serve you well. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Security Engineer
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We are seeking an experienced and proactive Security Engineer to help us build, maintain, and continuously improve the security posture of our rapidly growing ML infrastructure platform. As one of the first dedicated security hires at Baseten, you will work cross-functionally with engineering and operations teams to ensure we’re meeting the highest standards of confidentiality, integrity, and availability. You’ll have an opportunity to shape our security strategy and best practices from the ground up, influencing the way our platform handles sensitive data for both internal and external stakeholders. RESPONSIBILITIES - Security architecture and design: Collaborate with engineering teams to design and implement secure systems and infrastructure, including cloud (AWS/GCP) environments and container orchestration platforms. - Vulnerability management: Lead proactive vulnerability assessments, pen tests, and remediation efforts to ensure our products and infrastructure remain secure. - Incident response: Develop and maintain incident response processes, including detection, analysis, containment, eradication, and post-incident reviews. - Identity and access management (IAM): Oversee IAM strategies and tools to ensure the right people have the right level of access to our systems and data. - Security compliance and audits: Work closely with operations to ensure compliance with relevant standards (e.g., SOC 2, ISO 27001) and assist with audits, policy creation, and risk assessments. - Employee security training: Develop and deliver security training programs and documentation to keep our team informed about best practices, social engineering threats, and secure coding standards. - DevSecOps integration: Partner with DevOps teams to embed security into the CI/CD pipeline, automating security checks and fostering a culture of “security as code.” REQUIREMENTS - 3+ years of experience in a Security Engineer or similar security-focused role, preferably in a fast-paced startup environment. - Strong knowledge of cloud security (AWS/GCP), container security, and infrastructure-as-code best practices. - Hands-on experience with security tooling (SIEM, IDS/IPS, vulnerability scanners) and scripting languages to automate security tasks. - Familiarity with compliance frameworks such as SOC 2, ISO 27001, and GDPR, and the ability to translate requirements into actionable security controls. - Incident response expertise, including forensic analysis and root cause investigation. - Excellent communication skills and the ability to collaborate with cross-functional teams to promote a security-first culture. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Sales Manager - Enterprise
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're hiring a Sales Manager to help build and lead our founding team of Enterprise Account Executives in London. Enterprise at Baseten means the companies with the most to gain from AI and the most complexity in getting there: large digital natives running products at massive scale, and category leaders in software, financial services, healthcare, and beyond. They have the data, the distribution, and the budget. Most are still deciding what to build, what to run themselves, and what it should cost. You'll help recruit the first reps, run deals alongside them while the team ramps, and contribute to the playbook for how Baseten wins European enterprises. It's a founding seat with real influence on how we build here, close to our founders and GTM leadership. RESPONSIBILITIES - Recruit, hire, and ramp the founding team of Enterprise AEs in London. This is your highest-leverage work in year one - Coach reps through long, multi-stakeholder cycles: multithreading across buying committees, navigating security and procurement, and closing seven- and eight-figure deals - Raise the bar on consultative selling. Your reps should be advising customers on AI strategy, not just running a product evaluation - Partner on shaping and executing go-to-market strategy for the region, including which verticals to attack first - Operate as a player-coach early on, carrying deals yourself while the team builds - Stay deep enough on the product to guide reps through technical evaluations, POCs, and architecture reviews alongside our forward-deployed engineers - Work with Marketing, Product, Engineering, and Legal to turn European enterprise requirements into roadmap and GTM input - Build a culture of accountability, learning, and collaboration from the first hire forward REQUIREMENTS - 6+ years of closing experience, with 2+ years managing high-performing teams - Proven success in Enterprise sales, closing complex, multi-stakeholder deals inside large organizations - Experience selling into large digital natives or regulated industries (financial services, healthcare/life sciences, insurance, government) - A track record of recruiting strong sellers, ideally as a first or early hire in a new team or region - Strong technical acumen, ideally in AI infrastructure, cloud infrastructure, or developer platforms. You're comfortable in the weeds - Willingness to sell as well as manage while the team is small - Based in London and able to be in office at least 3 days per week (Tuesday to Thursday) BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Sales Development Manager
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're hiring a Sales Development Manager to lead the team of SDRs generating pipeline for our North American sales org. You'll own the day-to-day leadership of the team — coaching reps, aligning with AEs and sales leadership, holding a high bar on execution, hiring, and building the systems that make the team consistently productive. Our market is new and evolves by the day, and our buyers are hyper-technical. Prospecting at Baseten means earning credibility with that audience, and coaching a team to do it at scale. The right person for this role is a coach and a builder — someone who gets energy from developing people, is obsessive about execution, and wants to define what world-class pipeline generation looks like when the product, the buyers, and the sales motion are all AI-native. RESPONSIBILITIES - Lead, coach, and develop a team of SDRs responsible for opening doors with the next wave of Baseten customers. - Own the team's pipeline generation targets and drive consistent execution against weekly, monthly, and quarterly goals. - Build and refine outbound strategies, messaging, and frameworks across a wide range of accounts, tuned to a technical audience. - Run 1:1s, team meetings, training, and pipeline reviews that make reps measurably better week over week. - Partner with AEs and sales managers on account strategy, lead quality, and handoff processes. - Analyze pipeline data to identify what's working, diagnose what's not, and change it fast. - Hire and onboard new SDRs as the team grows, raising the talent bar with each hire. - Work cross-functionally with Marketing, Revenue Operations, and Recruiting. - Build with AI — test new tools, automate repetitive work, and make your team faster and sharper than a team twice its size. REQUIREMENTS - 1-2+ years managing an SDR or BDR team at an enterprise-focused tech company, and 4+ years in tech overall. - Direct experience as an SDR and/or AE — you've done the job you're coaching. - Technical aptitude and real curiosity about AI infrastructure. You should be able to hold your own in a conversation about inference and want to get deeper. - A track record of top performance and progression in fast-paced, results-driven environments. - Strong coaching instincts — you'd rather be in the trenches on calls and messaging with your reps than managing by dashboard. - Comfort with data and systems. You can pull a report, spot a trend, and turn it into a coaching conversation or a process change. - Hands-on with AI in your own workflow — you've built, adopted, or experimented your way to a faster prospecting motion, and you can show us. - A builder's mentality. You own problems and their solutions, and you're at your best in high-change, fast-moving environments. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Revenue Strategy & Operations, Sr. Analyst
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten is building the infrastructure layer for AI — and we're now building the team that will scale how we take it to market. This is a foundational hire on our GTM Strategy & Revenue Operations team, sitting at the intersection of strategic planning and field execution. You'll work directly with the CRO, Head of Revenue Operations and partner closely with Finance, field leadership, and our Central Ops team. On any given week, you might be refining our pipeline generation model, building a territory coverage analysis, designing a new GTM motion, or partnering with a regional leader to understand what's driving a trend in their pipeline. This role requires someone who can think rigorously, build things from scratch, and operate with speed and judgment in an environment where the playbook is still being written. This is a rare opportunity to be an early GTM strategy and operations hire at one of the fastest-growing companies in AI infrastructure — and to help define how we scale. WHAT YOU'LL DO GTM Planning, Target Setting & Market Intelligence - Contribute to the annual and quarterly GTM planning process in partnership with Finance, including headcount modeling, ramp assumptions, and revenue target-setting - Build and maintain coverage models aligned to 2-year growth projections, incorporating territory design, account segmentation, and capacity planning - Support quota framework development, helping translate top-down targets into field-level plans that are credible and motivating - Develop and maintain Baseten's segmentation logic: how we carve the market by industry, company profile, consumption potential, and AI maturity - Contribute a point of view on competitive dynamics, regional expansion priorities, and whitespace opportunities - Partner with Central Ops on ICP and TAM database strategy to ensure segmentation is grounded in clean, enriched data - Translate data into a clear business narrative for leadership and the field; democratize insights so the revenue org can self-serve Pipeline Generation & Forecast - Contribute to the design of the pipeline generation model: coverage ratios, qualified pipeline definitions, and input assumptions - Support the PG cadence: track actuals vs. model, surface gaps early, and partner with field leadership to course-correct - Play an active role in the weekly forecast process, helping build the business narrative that connects leading indicators to revenue outcomes - Build and maintain the analytics layer that powers GTM decision-making, from pipeline dashboards to cohort analyses to efficiency metrics Field Execution & Plan Refinement - Partner with the field to identify gaps in the business and develop structured plans to address them, supporting real-time actions as well as insights to guide QBRs, pipeline reviews, etc. - Analyze regional pipeline health, win/loss trends, and rep productivity to proactively surface insights that feed back into refining the GTM plan - Contribute to execution optimization projects: improving the sales process, post-sale journey, and conversion at key funnel stages - Close the loop between what's happening in the field and what needs to change in the plan New Motions & Experimentation - Support the design and execution of structured experiments to test new GTM approaches: new segments, new channels, new acquisition or expansion motions - Help build the measurement framework to evaluate what's working and create a clear path to scaling what wins - Partner with RevOps and Central Ops to operationalize successful experiments into repeatable playbooks REQUIREMENTS Experience - 3-5 years in GTM strategy, revenue operations, sales strategy, or a related function, ideally at a high-growth B2B SaaS or infrastructure company - Experience with consumption-based or usage-based business models strongly preferred; you understand the difference between ARR and revenue, and how to think about drawdown, expansion, and net retention - Exposure to a company scaling through a Series B-D inflection point a plus; you have a sense of what good looks like and what breaks as you grow - Background in consulting and/or banking / finance a plus Skills - Exceptional analytical chops: you can build a coverage model, a cohort analysis, and a leadership-ready forecast narrative, and you know which one the moment calls for - Strong business judgment: you don't just surface data, you tell people what it means and what to do about it - Structured thinker and clear communicator: you can take a complex GTM problem, break it down, and present a crisp recommendation to a senior audience - Hands-on builder: comfortable working in AI coding tools, spreadsheets, BI tools, SQL, and CRM systems; you don't wait for someone else to pull the data - Collaborative operating style: you work across functions (Finance, field leadership, Central Ops, Enablement) and know how to get things done without formal authority - AI Fluency: you actively use AI tools to drive your own productivity, in how you analyze data, structure problems, draft communications, and accelerate your work Mindset - Comfortable with ambiguity; you can define the problem before solving it - Bias toward action — you'd rather ship something good and iterate than wait for perfect - Curious about the AI infrastructure market; you want to understand what we sell, who buys it, and why WHY BASETEN - Be a foundational member of the GTM team at one of the most important companies in the AI infrastructure space - Work on problems that are genuinely hard and genuinely new — consumption-based GTM at AI scale doesn't have an existing playbook - High ownership, high visibility, direct access to leadership - Competitive compensation, equity, and benefits BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Recruiting Operations Program Manager
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten is growing fast, and how we hire shapes what we become. As our Recruiting Operations Program Manager, you'll find where the recruiting team is losing time or quality, confirm it with data, and build and run the program that fixes it. Some of that work is quick, like a data pull for leadership or an Ashby answer for a recruiter. Some of it spans months and needs executive buy-in. You'll identify, build and own programs end to end, from redesigning core recruiting processes to building and shipping AI-powered tools that change how our recruiters work every day. You'll work across Ashby, Notion, Slack, and Claude, and treat AI as a core part of how recruiting runs. RESPONSIBILITIES - Break large, ambiguous problems into clear phases, owners, and deadlines, and drive them through to adoption, not just launch. - Lead large-scale recruiting programs end to end: secure leadership buy-in, manage timelines across stakeholders, and use data to decide what to change and how to measure it. - Analyze interview plans, pass-through rates, stage timing, and interviewer load in Ashby, and turn findings into concrete recommendations. - Own data hygiene and job setup consistency across the pipeline so leadership can trust recruiting reporting, and build the dashboards and reports the team relies on. - Support operational asks from recruiters and leadership, and turn repeated asks into self-serve tools or documented answers. - Build, pilot, and iterate on Claude-powered tools and workflows that solve recurring pain points across the recruiting team. - Keep recruiting documentation – including interview guides, playbooks, SOPs, and training material – current, monitored, and easy to find. - Propose and roll out process changes that make recruiting faster and more consistent, including the comms and training that make them stick. REQUIREMENTS - 3+ years in recruiting operations, program management, or a related operations role at a fast-growing company. - Track record of running cross-functional projects end to end, including getting buy-in from senior leaders. - Comfort pulling, analyzing, and presenting data, and turning it into clear recommendations. - Clear, concise writing, including for executive audiences. - Strong prioritization skills, with the ability to balance long-running programs with day-to-day asks. NICE TO HAVE - Hands-on Ashby experience, especially reporting and dashboards, or deep experience with another ATS, including using data and metrics to drive decisions and set priorities. - Experience building workflows or tools with AI (Claude, ChatGPT, or similar). BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Product Marketing Manager, Dedicated
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. REQUIREMENTS Product Positioning & Technical Narrative - Own the positioning and messaging for Baseten’s dedicated inference and platform capabilities, including autoscaling, routing, failover, release safety, observability, and cost/performance capabilities. - Translate infrastructure-heavy product work into buyer narratives for ML engineering, platform engineering, security, compliance, procurement, and executive audiences. - Partner with Product and Engineering to understand the technical architecture, customer value, roadmap tradeoffs, and proof points behind each capability. - Define when a capability should be positioned as a platform differentiator, a dedicated inference requirement, a reliability story, a compliance story, or sales enablement. - Build messaging that is technically credible without being overly implementation-focused or generic. Launch Strategy & GTM Execution - Build and execute launch plans for major dedicated inference and serving platform capabilities, from early internal enablement through external announcement. - Decide what deserves a full launch versus what should ship through docs, sales enablement, customer-specific materials, or targeted enterprise outreach. - Create launch assets including messaging briefs, landing pages, blog posts, sales decks, one-pagers, FAQs, demo storylines, competitive talk tracks, and customer-facing proof points. - Sequence launches and supporting assets based on customer demand, product readiness, sales need, and market opportunity. - Partner with Demand Gen, Sales, Solutions, and Customer Marketing to turn product capabilities into pipeline-generating campaigns and enterprise deal support. Market, Customer & Competitive Intelligence - Build a deep understanding of how AI-native companies and enterprises run production inference today, where their current infrastructure breaks, and what they need as workloads scale. - Turn ambiguous customer and market signals into clear recommendations for Product, Sales, and Marketing. - Develop competitive messaging against inference providers, cloud platforms, and internal DIY alternatives Cross-Functional Partnership - Partner with Engineering to ensure technical claims are accurate, defensible, and supported by real product behavior. - Work with Sales and Solutions teams to understand deal blockers, buyer objections, and enablement gaps. - Collaborate with Demand Gen and Customer Marketing to build campaigns, customer stories, and field programs REQUIREMENTS - 6+ years in product marketing, technical marketing, developer marketing, or a related GTM role, ideally at an infrastructure, developer tools, cloud, data, or AI company. - Strong technical fluency and the ability to quickly ramp on infrastructure concepts like autoscaling, routing, failover, capacity, observability, deployment models, and performance optimization. - Experience translating complex technical products into clear, differentiated positioning for both technical practitioners and enterprise decision-makers. - Track record building launch strategies and GTM plans for platform products, infrastructure products, or technical capabilities with long enterprise sales cycles. - Excellent storytelling skills, with the ability to make technical infrastructure feel concrete, credible, and commercially urgent. NICE TO HAVE - Experience with AI/ML infrastructure, inference, model serving, cloud infrastructure, Kubernetes, observability, DevOps, or distributed systems. - Experience marketing products to ML engineers, platform engineers, infrastructure leaders, security/compliance teams, or technical executives. - Experience building competitive positioning against cloud providers, inference providers, model API companies, or internal platforms. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Procurement Lead
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for a Procurement Lead to build Baseten's procurement function from the ground up. This is a foundational, high-ownership role for someone who wants to define how a company runs procurement, not inherit an existing process. As the company scales across engineering, GTM, and corporate functions, we need to build purchasing workflows and vendor relationships. This is a rare, critical-moment hire: you'll set the leading-practice processes, systems, and policies that the company runs on as it continues to grow, with the mandate and dedicated focus to build something built to scale. This role exists to make procurement a source of leverage for the business, not friction. Your goal is to build scalable process, take on vendor management and RFP work that today sits informally with individual teams, and free up business owners' time and capacity, all while building the guardrails the company needs as it grows. You'll partner closely with Finance, Legal, Security, Compliance, IT, and business owners across the company, and you'll be judged on whether teams feel supported and unblocked, not slowed down. RESPONSIBILITIES Procurement Strategy and Process - Design and implement Baseten's first company-wide procurement process, approval routing, and other workflows - Establish procurement policies (spend thresholds, approval authority, competitive bidding requirements) tailored to a high-growth business - Design processes that scale with the business without adding friction or slowing down how teams buy - Define procurement's operating model and roadmap as the function and team scale Systems and Tooling - Build out procurement workflows within our existing P2P platform, including requisition, approval, and purchase order processes - Build reporting and visibility into company-wide spend by category, vendor, and department Vendor Management and Sourcing - Own vendor onboarding, due diligence, and risk assessment across the company's vendor base, partnering with Security, Compliance, and Legal on vendor risk reviews - Lead or support strategic sourcing, RFPs, and contract negotiations on behalf of business owners, freeing up their time and capacity - Build a vendor management framework covering performance, risk, and renewals Cross-Functional Partnership - Partner with Legal, Security, Compliance, IT, and business owners across the company to understand purchasing needs and build workflows that fit how each team actually operates - Act as a trusted advisor and extension of business teams on sourcing strategy, RFPs, and vendor selection, not a gatekeeper that slows deals down Compliance and Controls - Establish procurement controls that support audit readiness, SOX compliance, and security and data privacy requirements as the company matures, in partnership with Legal, Security, and Compliance REQUIREMENTS - 8+ years of progressive procurement experience, including experience building or significantly maturing a procurement function at a high-growth technology company - Proven experience designing procurement processes, policies, and systems from the ground up - Experience running RFPs and vendor selection processes on behalf of business stakeholders - Experience with strategic sourcing and vendor contract negotiation across multiple spend categories - Experience partnering with Security, Compliance, and Legal on vendor risk assessments - Comfortable operating with significant ambiguity and building structure where none exists today - Strong cross-functional partnership skills, able to work with Finance, Legal, Security, Compliance, IT, and business owners as a partner, not a source of friction - Based in San Francisco or New York, with the ability to work in-person 3+ days per week NICE TO HAVE - Experience with modern procurement and spend management platforms with AI-enabled functionalities - Experience operating in a high-growth business - Familiarity with SOX controls and audit requirements as they relate to procurement BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Manager, Strategic Sales
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're hiring a Sales Manager to help build and lead our founding team of Strategic Account Executives in London. Strategic at Baseten means the fastest-growing AI-native companies in the world, teams scaling from first inference call to billions of tokens in months. This is our fastest-growing segment, and Europe is where we're planting the flag next. You'll help recruit the first reps, run deals alongside them while the team ramps, and contribute to the playbook for how Baseten wins in Europe. It's a founding seat with real influence on how we build here, close to our founders and GTM leadership. RESPONSIBILITIES - Recruit, hire, and ramp the founding team of Strategic AEs in London. This is your highest-leverage work in year one - Coach reps to consistently exceed pipeline and revenue goals, with a hands-on approach through complex technical deals - Partner on shaping and executing go-to-market strategy for the region - Operate as a player-coach early on, carrying deals yourself while the team builds - Stay deep on the product and the open-source model landscape so your reps can hold their own with founders and engineering leaders - Work with Marketing, Product, and Engineering to turn European customer needs into roadmap input - Build a culture of accountability, learning, and collaboration from the first hire forward REQUIREMENTS - 6+ years of closing experience, with 2+ years managing high-performing teams - Proven success in Strategic or Enterprise sales, closing complex, multi-stakeholder technical deals - A track record of recruiting strong sellers, ideally as a first or early hire in a new team or region - Strong technical acumen, ideally in AI infrastructure, cloud infrastructure, or developer platforms. You're comfortable in the weeds - Willingness to sell as well as manage while the team is small - Based in London and able to be in office at least 3 days per week (Tuesday to Thursday) BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Head of Real Estate & Workplace
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re looking for a Head of Real Estate & Workplace to build the physical expression of Baseten as we grow from roughly 300 employees today to more than 2,000 over the next couple of years. You’ll own the environments, spaces, and experiences that define what it feels like to work at Baseten. This is equal parts operations, hospitality, design, and strategy. You’ll partner closely with our founders and leadership team to create an environment that scales with the company while remaining unmistakably Baseten. You’ll inherit a strong Workplace Experience team and continue to evolve the function into one of the defining strengths of the company. We’re looking for someone who has built and scaled world-class workplace functions before; someone who has seen what’s ahead and can help us get there faster. RESPONSIBILITIES - Own Baseten’s global workplace and real estate strategy, developing the long-term roadmap for how our physical footprint evolves as we scale from hundreds to thousands of employees. Lead real estate planning, site selection, expansions, and significant capital investments across our headquarters, growing network of smaller offices, and future international locations. - Build and operate exceptional workplaces. Own end-to-end workplace operations, office buildouts, relocations, and launches, ensuring every office runs smoothly with an uncompromising bar for quality, hospitality, and attention to detail. - Define the physical expression of Baseten. Shape the look, feel, and personality of our spaces, creating environments and experiences that are distinctly Baseten—from interior design and amenities to office traditions and the way we welcome employees, customers, candidates, investors, and guests. - Lead and develop our Workplace Experience team, building a high-performing organization that scales alongside the company while continually raising the bar for execution and ownership REQUIREMENTS - 10+ years of experience leading Workplace, Environment, Employee Experience, or a similar function at a hypergrowth technology company, helping scale from hundreds to thousands of employees across multiple U.S. and international offices. You’ve done this before. You know what breaks during periods of explosive growth and you’ve built the teams, systems, and operating model to stay ahead of it. - The ability to build trust quickly with founders and senior leaders. You’ll develop a deep intuition for what feels authentically Baseten and apply that judgment independently as we scale. - Strong strategic and analytical thinking, with experience making high-quality decisions involving significant real estate investments, competing priorities, and rapid growth - Excellent cross-functional leadership and the ability to navigate complex stakeholder environments - Exceptional taste and an uncompromising quality bar. You notice the details others miss and care deeply about creating environments that feel intentional, memorable, and distinctly Baseten. - A hospitality mindset. You believe the environments people work in matter, and you obsess over creating exceptional experiences for employees, customers, candidates, investors, and guests. - A builder who enjoys creating systems and experiences that scale - Based in San Francisco and excited to spend the majority of your time in our office, with regular travel to our other locations LOCATION In-person in San Francisco 3+ days/week BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
GTM Systems Manager
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten's GTM org is in hyper growth. As it grows and matures, the needs of the GTM stack get more sophisticated with scale — and this team exists to stay ahead of those needs. This role owns a core set of the platforms the field runs on. You'll administer, configure, and continuously improve them, build AI and automation on top of the CRM to keep it clean and current, and run the adoption programs that make sure the field actually uses what we put in front of them. We're an AI-native company scaling fast, and we want to add sophistication without adding drag — you'll be the person deciding how much system is enough. This isn't a classic Salesforce admin role. You know the ecosystem, but you come at it as a builder and an orchestrator, not a ticket-taker. Central RevOps is the systems and operations center of excellence for Baseten's GTM org. The stack includes Salesforce, Pylon, Outreach, Sales Navigator, Clay, and a growing set of AI-native GTM tools. The field is scaling fast, and the systems need to mature with it without slowing anyone down. You'll co-own Salesforce with our other GTM Systems Manager and work alongside a GTM Engineering team who builds internal AI products for GTM productivity — plus partner closely with sales leadership and the field. RESPONSIBILITIES - Own adminship, configuration, and enablement for Pylon, Gong, Sales Navigator, Outreach, and Prospect. These platforms are yours end-to-end — configured well, enabled with the field, and continuously improved as needs grow. - Run adoption, license forecasting, and vendor management for each of those systems. Own the adoption programs that get the field using them, forecast license needs ahead of growth, and manage the vendor relationships and renewals. - Co-own Salesforce. Partner with our other GTM Systems Manager to keep the CRM configured for how sales actually runs, and act as backup for Deal Operations processes. - Build AI and automation on top of the CRM. Stand up agents and automations that update and maintain the CRM — keeping data clean, current, and trustworthy without adding manual work. - Drive adoption, not just deployment. Document what you build, enable the field, and measure success by whether people actually use it. - Right-size the process. Add just enough structure to scale the company without slowing the field down. Have a point of view on where process helps and where it just gets in the way. REQUIREMENTS - 4+ years in GTM systems, RevOps, or sales/business systems — owning platforms and process end-to-end - Experience building AI and automation on top of a CRM — you've built agents or automations that update and maintain CRM data, not just configured fields - Hands-on adminship and configuration experience across a multi-tool GTM stack (support ops, engagement, prospecting, and enrichment tools) - Working knowledge of the Salesforce ecosystem and data model — enough to co-own the CRM — without wanting to be a career admin - A real appetite for enablement — you care whether the field uses what you build, and you'll run the adoption programs to make sure it does - Experience owning vendor relationships, renewals, and license planning - Judgment on process — you can tell structure that helps the field from structure that slows it down, and you right-size accordingly - Experience in high-growth B2B technology companies, ideally scaling systems as the field grows fast NICE TO HAVE - Fluency with AI and automation tooling (Claude, Clay, n8n, or similar) as a builder, not just a user - Familiarity with a data warehouse and BI environment (Sigma, Hex, BigQuery, Snowflake) on the data layer - Hands-on experience with Pylon - Exposure to Deal Operations, CPQ, or quote-to-cash processes as a backup or contributor - You've inherited a sprawling, redundant stack and made it more intentional without breaking what works BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Global Capacity Manager
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Global Capacity Manager at Baseten, you will lead the "engine room" of the company, architecting, securing, and optimizing the global GPU fleet that powers our customers' AI workloads. You’ll own the end-to-end journey of capacity management, from securing multi-million dollar GPU clusters to building the automation that ensures 99.9% uptime across multi-cloud environments. This role is a great fit for entrepreneurial engineers who want to bridge the gap between high-finance asset management and deep infrastructure engineering. You will act as the fleet orchestrator for the world's most advanced chips, ensuring Baseten never experiences a capacity outage while maintaining elite unit economics. To be clear, this is a high-stakes engineering role. You will be hands-on with Kubernetes orchestration while also leading specialized pods focused on the next generation of hardware, like NVIDIA’s Blackwell (B200) architecture. EXAMPLE INITIATIVES - The B200 Frontier: Architecting the infrastructure readiness and deployment strategy for Baseten's first Blackwell GPU clusters. Global Workload Orchestration: Building "Multi-cloud Capacity Management" systems to move customer workloads seamlessly across regions to optimize cost and latency. - Precision GPU Triage: Developing automated Go-based operators to identify, cordon, and repair unhealthy H100 nodes in under an hour. - The Supply Chain of Intelligence: Partnering with leadership to secure and reserve dedicated capacity for Baseten’s largest enterprise customers. RESPONSIBILITIES - Lead Specialized Pods: Act as the lead for specific GPU pods (e.g., H100 or B200), managing the full lifecycle of acquisition, air traffic control, and maintenance for those assets. - Advanced Orchestration: Execute complex workload migrations and "sticky" deployment drains, ensuring deployment scheduling rules meet strict regional and compliance requirements. - Build for Scalability: Design and implement the "next version" of Baseten’s capacity management system to handle a 10x increase in GPU volume. Financial Modeling: Leverage your understanding of unit economics to build ROI models for GPU spend, ensuring Baseten scales profitably. - Cross-Team Collaboration: Partner with SRE, Infra, and FDE teams to take discrete operational tasks off their plate and verify "last mile" follow-through on infrastructure changes. - Incident Response: Lead capacity-crunch response by rapidly untainting and re- coordinating workloads during high-pressure outages. REQUIREMENTS - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field - 5+ years of professional work experience in a high-growth environment, preferably at a hyperscaler (GCP, AWS, Azure) or a specialized GPU provider - Deep expertise in Kubernetes, including hands-on experience with taints, cordons, node draining, and custom operators - Demonstrated experience with Go or Python in a production-level environment Strong financial literacy and the ability to model complex trade-offs between capacity reliability and cost - High tenacity and collaborative mindset BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Data Engineer
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re hiring a Data Engineer to build and scale Baseten’s internal data platform. This role sits at the intersection of data engineering, analytics, and data science, transforming raw product and business data into reliable datasets that power decision-making. You’ll design the data models, pipelines, and analytics infrastructure that enable teams across Product, Engineering, Finance, Marketing, and Sales to understand usage and performance. This includes working with AI inference, infrastructure, and observability data to generate insights about the product, business operations and platform economics. You’ll partner closely with stakeholders to build robust, scalable pipelines, define company-wide metrics that inform strategy and planning. RESPONSIBILITIES - Design and maintain core data models and semantic layers - Develop and orchestrate batch and streaming data pipelines using technologies such as Apache Beam, Kafka, Airflow, or similar frameworks - Analyze inference and infrastructure telemetry, including data from OpenTelemetry, Grafana, and other observability tools - Define and maintain company-wide metrics across product usage, performance, and customer lifecycle - Enable self-service analytics through agents and tools, with well-structured semantic layers and context - Ensure data reliability and quality through testing, documentation, and governance PREFERRED QUALIFICATIONS - Understanding of inference metrics such as latency, throughput, token usage, and model performance - Experience supporting B2B SaaS and/or consumption-based platforms - Application of forecasting and predictive modeling (e.g., ARIMA, Prophet) to business processes BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Cloud Platform Engineer
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Cloud Platform Engineer, you'll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient. This can range from automating deployments and monitoring systems to optimizing performance and managing incidents. We all work closely with our users, learning from their past struggles in operationalizing ML, onboarding them onto our platform, and turning our learnings into ideas for improving Baseten. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Infrastructure team: - Multi-cloud capacity management https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/ - Inference on B200 GPUs https://www.baseten.co/blog/accelerating-inference-nvidia-b200-gpus/ - Multi-node inference https://www.baseten.co/blog/how-multi-node-inference-works-llms-deepseek-r1/ - Fractional H100 GPUs for efficient model serving https://www.baseten.co/blog/using-fractional-h100-gpus-for-efficient-model-serving/ RESPONSIBILITIES - Build and maintain scalable infrastructure to support the deployment and operation of machine learning models. - Establish standards and best practices for reliability and performance across the infrastructure. - Automate processes when relevant, particularly for managing CI/CD pipelines. - Own products and projects end-to-end, functioning as both an engineer and a project manager, with a focus on user empathy, project specification, and end-to-end execution. - Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions. - Mentor junior team members and contribute to knowledge sharing within the organization. - Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity. - Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates. REQUIREMENTS - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field. - Extensive experience with Kubernetes. - Experience in building and maintaining scalable infrastructure. - Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, Circle CI, Jenkins). - Relevant OSS observability experience (Prometheus, ELK stack, Grafana stack, OpenTelemetry) is a plus. - Ability to own projects end-to-end, from project specification to execution. - No prior machine learning experience required, but should be open to learning about it. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Capacity Strategy & Operations
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a member of the Capacity Strategy & Operations team, you will sit at the intersection of supply intelligence, demand forecasting, and cross-functional execution, turning a complex, fast-moving hardware market into a predictable, reliable foundation for our customers and internal engineering teams. This is not a purely analytical role. You will own the end-to-end capacity planning process: from translating customer commitments and growth forecasts into concrete supply requirements, to coordinating fulfillment across vendors, finance, and the infrastructure team, to building the systems that make all of this repeatable and scalable. When supply is constrained and tradeoffs are unavoidable, you are the person in the room who can model the options, make a clear recommendation, and drive alignment fast. You are a strong fit if you have operated at the intersection of strategy and execution before — someone who is equally comfortable building a capacity model in a spreadsheet and running a cross-functional war room when a customer deployment is at risk. EXAMPLE INITIATIVES - Demand-Supply Alignment Framework: Build and own the process that translates customer pipeline, signed commitments, and growth projections into a forward-looking GPU demand signal — so the team is never caught flat-footed when a customer scales faster than expected. - Constrained Allocation Playbook: Define the decision framework for how Baseten allocates scarce GPU supply across competing customers and regions, including escalation paths and tradeoff criteria for leadership. - Capacity War Room Ownership: Lead cross-functional response when a high-stakes capacity situation arises — coordinating across Sales, SRE, Finance, and Vendor relationships to resolve it with minimal customer disruption. - Strategic Briefings for Leadership: Produce clear, concise capacity health reports and scenario analyses for senior leadership, enabling confident decisions on customer commitments, vendor negotiations, and CapEx allocation. RESPONSIBILITIES - Own the capacity planning process end to end: intake, triage, prioritization, fulfillment tracking, and post-mortem learnings - Translate customer commitments, sales pipeline, and infrastructure growth targets into concrete GPU demand forecasts across regions, GPU types, and timelines - Partner with Finance to model capacity scenarios, evaluate new supply opportunities, and support CapEx decision-making - Work closely with the Capacity Acquisition team to align supply procurement with forward demand, flagging gaps and risks early - Coordinate cross-functionally across Sales, SRE, and Infrastructure teams to resolve capacity conflicts and ensure customer commitments are honored - Build and maintain the operational cadence that keeps capacity planning structured, visible, and free of ad-hoc Slack chaos - Develop reporting and dashboards that give leadership a real-time view of capacity health, utilization trends, and risk exposure - Identify recurring operational gaps in the capacity lifecycle and drive process improvements that reduce toil and improve reliability REQUIREMENTS - 5+ years of experience in strategy, operations, consulting, finance, or a similarly analytical and execution-oriented role - Demonstrated ability to own complex, cross-functional processes with multiple stakeholders and competing priorities - Strong quantitative and modeling skills — comfortable building demand forecasts, scenario analyses, and capacity models from scratch - Excellent communication skills, with a track record of distilling ambiguous situations into clear recommendations for senior leadership - High ownership mindset: you identify what is broken, build the fix, and follow through until it is working - Operates well under pressure and in ambiguous, fast-moving environments where the playbook does not yet exist NICE TO HAVE - Familiarity with GPU infrastructure, cloud platforms, or AI/ML ecosystem - Experience in a high-growth startup or Series B+ environment where operational processes were being built from scratch - Exposure to vendor or partner management, particularly in hardware, cloud, or infrastructure contexts BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
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