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Staff Engineer, Customer Insights & Alerts
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: We are looking for a Staff Engineer to be the detection authority for Crusoe’s Command Center platform—the person who owns what “something is wrong” means. You will define the heuristics, thresholds, and rules that power our alerting and anomaly detection systems, translating raw infrastructure telemetry into precise, actionable signals. This is a full software engineering role. You will ship customer-facing features, build systems from 0 to 1, and scale existing services alongside a team of strong generalist engineers. What sets you apart is deep expertise in anomaly detection, heuristics, and machine/reinforcement learning—applied to real infrastructure at global scale. Beyond your technical contributions, you will be a cultural bar-raiser and force multiplier: someone who elevates the entire team’s craft. You will report to the Engineering Manager of the CCIA team and operate as a peer to the Distributed Systems Staff Engineer on the team. What You'll Be Working On: - Detection & Intelligence Ownership: Own the full detection stack — heuristics, threshold calibration, precision/recall tuning, and the rule systems that define what "something is wrong" means for the platform. - Anomaly Detection Pipelines: Design and maintain detection systems including straggler node detection, GPU health signals, and fleet-level behavioral baselines. - Signal Calibration: Drive detection fidelity by reducing false positives, increasing signal coverage, and building feedback loops that keep thresholds accurate as the fleet grows. - ML/RL Integration: Evaluate and integrate machine learning and reinforcement learning techniques where they outperform rule-based approaches — and know when not to reach for a model. - Product Engineering: Ship customer-facing features end-to-end across the CCIA stack — alert rule engine, control plane APIs, automated action systems, and insights delivery surfaces. - 0-to-1 & Scale: Build new systems from scratch and scale existing ones to support Crusoe's rapidly growing global fleet. - Cross-Functional Collaboration: Work closely with product counterparts to shape requirements early and partner with the data science team to develop and validate detection models. - System Design: Participate in design discussions across teams, contribute architectural perspective, and help evaluate technical trade-offs. - Technical Mentorship: Mentor engineers at all levels through code review, design feedback, and direct coaching, and contribute to hiring by helping define what great looks like. What You'll Bring to the Team: - Anomaly Detection & Heuristics Expertise: Deep experience building anomaly detection systems, heuristics-based rule engines, or ML/RL systems for infrastructure or data-intensive domains. - Threshold & Signal Calibration: Demonstrated ability to reason about precision/recall trade-offs and build feedback loops that keep detection systems accurate over time. - Distributed Systems Fundamentals: Strong foundations in the building blocks of reliable, scalable backend systems—you can hold your own in any system design conversation. - Full Software Engineering Craft: 5+ years shipping production software; experience with modern compiled or systems languages (Go, Rust, C++, Java, or similar). - Data & Observability Fluency: Comfortable with time-series data, telemetry pipelines, and observability primitives—you understand how raw metrics become actionable insights. - Communication: You can explain detection logic, trade-offs, and system behavior clearly to both engineers and non-technical partners. - Force Multiplier Mindset: You make the team better—through mentorship, clear technical vision, and a genuine investment in the people around you. Bonus Points - Experience with GPU profiling tools (Nsight, NCCL Inspector) or hardware-level infrastructure diagnostics. - Background in observability platforms or products. - Experience with reinforcement learning applied to operational or infrastructure problems. - Familiarity with large-scale fleet management or cloud infrastructure. - Passion for building team culture and engineering quality of life. Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $210,000 - $255,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Senior Staff Solutions Engineer (NYC)
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: Crusoe Cloud is seeking a Sr. to Senior Staff level Solutions Engineer to work closely with our most strategic enterprise customers deploying AI/ML workloads on Crusoe’s high-performance GPU infrastructure. This is a hands-on, customer-facing role requiring deep technical expertise in Kubernetes, MLOps, and cloud infrastructure. You’ll guide customers through end-to-end deployment—owning the PoC process, optimizing workloads post-sale, and serving as a critical technical voice between our customers and engineering teams. Ideal candidates are passionate about AI infrastructure, fluent in containerized environments, and confident in translating workloads across cloud platforms. What You'll Be Working On: - Customer Enablement: Lead technical onboarding and deployment of complex AI/ML workloads with strategic enterprise customers—owning the POC through to post-sales optimization. - Kubernetes + MLOps Focus: Architect and deploy ML workloads using Kubernetes-based stacks (e.g., Ray, Kubeflow) Design infrastructure that balances performance, scalability, and efficiency. - Infrastructure-Centric Thinking: Go beyond abstracted services—deploy and optimize AI/ML workloads directly on Crusoe infrastructure. Ensure performance at the container and hardware level. - Cross-Cloud Translation: Help customers migrate and adapt workloads across AWS, Azure, and GCP. Understand and explain the tradeoffs between cloud-native and Crusoe-native approaches. - Technical Storytelling: Conduct workshops, live demos, and solution reviews. Contribute to case studies, solution briefs, and blog posts that highlight real-world customer success. - Voice of the Customer: Relay feedback to internal engineering and product teams to continuously improve Crusoe’s platform based on real-world implementation experience. What You'll Bring to the Team: - Deep Kubernetes Expertise: 7+ years building and deploying containerized workloads. Experience with Helm, Terraform, Docker, and multi-node orchestration a must. - MLOps Deployment Experience: Demonstrated success deploying ML frameworks (e.g., Ray, MLflow, Airflow) on Kubernetes—especially for inference and model training workflows. - Hands-on Cloud Infrastructure Knowledge:Familiarity with compute, storage, networking, and scaling in AWS, GCP, or Azure. Experience translating workloads across clouds is highly desirable. - Customer-Facing Technical Confidence: Able to navigate stakeholder conversations, gather requirements, lead technical engagements, and support customers in both pre- and post-sales environments. - Strong Linux and CLI Proficiency:Comfortable operating in Linux environments and troubleshooting infrastructure issues via CLI. - Collaborative Energy: Strong communication skills and eagerness to partner cross-functionally with Engineering, Product, and Sales to make customers successful. Bonus Points - Experience with Ray, Kubeflow, or other distributed ML orchestration platforms - Exposure to Slurm, but with a primary focus on containerized MLOps over traditional HPC - Multi-cloud deployment or migration experience (especially AWS ➝ Crusoe transitions) - Content contributions (tech talks, blogs, public case studies) Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $175,000 - $250,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Principal Product Manager, AI Infrastructure (Stor...
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role Crusoe is building the infrastructure layer that powers the most demanding AI workloads on the planet. Our storage stack is what keeps tens of thousands of GPUs fed with data, whether that means block volumes for fast bootups, a shared file system for a training cluster, or the object storage tier a physical AI customer depends on. As a Principal Product Manager on our AI Infrastructure team, you will own the long-term architecture and technology strategy for Crusoe's storage foundation: how we build our storage stack at scale, from hardware and vendor selection to fleet-wide deployment architecture. This is a foundations role. You will work as a peer to our most senior infrastructure engineers and architects, and make the long-term architecture, vendor, and technology decisions that determine whether our storage platform can scale for years, not just for the next customer request. You will partner closely with Infrastructure Engineering, Cloud Software Engineering, and Architecture to translate future workload, fleet, and customer requirements into infrastructure requirements, and manage the vendor relationships that keep our storage stack world-class for AI at scale. What You'll Be Working On - Long-term vision: Define the 2-4 year vision and roadmap for Crusoe's storage foundation, across block, file, object, local NVMe, and archival tiers. - Architecture and hierarchy: Own the long-term storage architecture and hierarchy - Vendor management and technology strategy: Own Crusoe's long-term vendor management strategy for the storage stack, and shapes our cost structure, capital allocation, and competitive position. - Platform targets: Set the performance and durability targets the platform must hit, including storage cost per usable TB and capacity efficiency. - Scale for AI: Own the future architecture required to support significantly larger AI clusters and fleet scale. - Structural investment: Identify structural limitations in the current architecture and prioritize the long-term investments that resolve them. - Engineering partnership: Partner with Infrastructure Engineering and Architecture on major technical tradeoffs, and define the product requirements and business rationale behind foundational investments. - Industry scouting: Actively scout the industry for emerging storage technologies and vendors, and represent storage foundations in leadership reviews. What You'll Bring to the Team - Bachelor's degree in electrical engineering, computer science, or a related field. - 8+ years of technical product management experience, or product-minded infrastructure engineering experience, with a track record of owning architecture-level outcomes at Principal or equivalent scope, specifically focused on cloud storage or related infrastructure. - Subject matter expertise in storage, with the credibility to operate as a peer to senior infrastructure engineers and architects. - Strong technical understanding of cloud storage architectures, including block, file, and object storage, at hyperscale. - Experience managing long-term vendor strategy and vetting in-house software engineering investment for storage hardware and software. - A strong grasp of infrastructure economics at scale, including cost per usable TB and capacity efficiency. - Analytical mindset with the ability to use data to inform multi-year infrastructure decisions. - Exceptional communication skills, with the ability to translate technical tradeoffs into clear narratives for engineering leadership and executives. Bonus Points - Experience with AI/ML infrastructure, including training and inference workloads in the cloud. - Direct experience with high-performance storage networking, such as RDMA or GPUDirect Storage. - Experience with a major cloud provider (AWS, Azure, GCP) and their storage services, or a deep understanding of cloud-native storage principles at hyperscale. - Experience managing or mentoring other product managers Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $$285,000 - $335,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Full-Stack Engineer, Agent Management Platform
About CrewAI CrewAI is the leading framework and enterprise platform for building and orchestrating multi-agent AI systems, powering 300M+ agent executions per month across thousands of companies. The Agent Management Platform is our control plane for deploying, monitoring, governing, and scaling agents in production. The Role You'll build the CrewAI Agent Management Platform: the web product where teams create, deploy, monitor, govern, and manage agentic automations in production. This is a full-stack product engineering role with a strong frontend bias. You'll work across Rails, React, TypeScript, Hotwire, background jobs, APIs, and product workflows that make complex AI infrastructure feel understandable and usable. What You'll Do Build user-facing platform experiences across Studio, deployments, observability, traces, human feedback, onboarding, integrations, settings, and admin surfaces. Ship polished frontend work in React/TypeScript, Vite, Tailwind, Hotwire, Stimulus, and Rails views/components. Own full-stack features from database models and service objects through controllers, jobs, APIs, and UI. Design workflows for complex agent management concepts: orgs, permissions, auth, environment variables, LLM connections, deployment status, logs, traces, secrets, tools, and human-in-the-loop review. Integrate with external systems like WorkOS/Auth0/Okta/Keycloak/Entra, GitHub, Slack, HubSpot, Salesforce, Stripe, cloud services, and LLM providers. Write high-quality tests across Rails and frontend code: Minitest/RSpec, system tests, Vitest, and component-level tests. Partner with runtime and open-source engineers to make CrewAI's underlying execution model visible, debuggable, and usable in the platform. Requirements What We're Looking For 7 plus years of full-stack product engineering experience, ideally in a B2B platform product with complex workflows. Excellent frontend judgment: React, TypeScript, component design, state management, forms, data-heavy screens, and interaction details. Solid backend ability with Ruby/Rails or a comparable MVC/web framework. You can model data, write service code, debug jobs, and design APIs. Comfort working with PostgreSQL, background jobs, caching/state, external APIs, and production-facing product behavior. Taste for clear UX around technically complex systems. You can make deployment state, errors, permissions, traces, and runtime behavior understandable. Strong testing habits and comfort shipping in a fast-moving codebase. Enough AI/LLM curiosity to understand agents, workflows, tools, traces, and human-in-the-loop product needs. Bonus Experience with developer tools, workflow builders, observability products, infrastructure dashboards, or AI/agent platforms. Rails, Hotwire, ViewComponent, Tailwind, Vite, or React Query experience. Experience with auth/SSO, integrations, secrets, billing, usage, or admin tooling. Design sensibility: you can partner well with design, but do not need every interaction handed to you pixel by pixel. We are unable to provide immigration sponsorship for this role. Applicants must have existing authorization to work in the U.S.
Staff Software Engineer, Backend
Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. About the Role: We're seeking a Staff Software Engineer to lead the design and evolution of our backend systems that power Cresta's AI platform. You'll architect scalable, distributed systems that enable enterprise AI agents to deliver exceptional customer experiences through voice and digital channels. This role offers the opportunity to shape technical strategy, mentor engineers, and build production systems at the intersection of AI and enterprise software. This is a generic backend engineering hire. Team matching will be conducted during the later stages of the hiring process based on your interests, experience, and team needs. You'll have the opportunity to explore different team areas and find the best fit for your skills and career goals. Key Responsibilities: - Architecture & Leadership: Lead the architecture and evolution of large-scale distributed backend systems, driving cross-team technical initiatives from design through production - Scalable Systems Design: Build high-performance, fault-tolerant backend services supporting real-time AI agents, conversation intelligence, and enterprise integrations - AI/ML Collaboration: Partner with ML engineers to operationalize AI capabilities, building the runtime infrastructure and orchestration systems that power AI agents at scale - Data & Storage Solutions: Design and optimize data storage and retrieval systems for real-time analytics and insights - Production Excellence: Drive continuous improvements in system performance, cost efficiency, and scalability to handle - high-volume production workloads - Technical Mentorship: Mentor senior engineers, influence technical roadmap, and raise the bar for engineering quality across teams Required Qualifications: - Bachelor's degree in Computer Science or related field - 8+ years building scalable backend systems in production environments - Proven experience leading large-scale distributed system architecture with deep understanding of consistency, fault tolerance, state management, and concurrency - Strong proficiency in at least one major programming language (Python, Go, Java, C++, or similar) - Strong API design expertise (REST, gRPC) and service-oriented architectures - Experience with database design and optimization across SQL and NoSQL systems - Hands-on experience with containerization and orchestration (Kubernetes, Docker) - Cloud platform expertise (AWS, GCP, or Azure) with strong security knowledge - Experience building developer-facing tooling (CLIs, SDKs, testing frameworks) - Strong expertise in system reliability, observability, monitoring, and production ownership (including on-call) - Excellent communication skills for technical decision-making, cross-functional collaboration, and mentorship - High standards for code quality, testing, and engineering best practices Preferred Qualifications: - Effective use of AI-assisted coding tools (Claude Code, OpenAI Codex, Cursor, etc.) to significantly boost development productivity - Deep understanding of real-time communication systems, low-latency design, and high-availability architectures - Proven track record with third-party enterprise platform integrations - Experience with Temporal workflow orchestration platform - Hands-on experience with Postgres, ClickHouse, and Elasticsearch - Experience with Contact Center as a Service (CCaaS) platforms or contact center systems - Familiarity with AI Agents, LLM-based systems, or AI orchestration platforms - Real-time voice or streaming media systems background - LLM integration experience (streaming inference, prompt orchestration, RAG) - Infrastructure-as-code and GitOps workflows Perks & Benefits: - We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs - Paid parental leave to support you and your family - Monthly Health & Wellness allowance - Work from home office stipend to help you succeed in a remote environment - Lunch reimbursement for in-office employees - PTO: 3 weeks in Canada Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details. Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact recruiting@cresta.ai (if you are opting out, please use the subject ‘Opt-Out’ in your email). Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed. Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta .ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.
Senior Product Designer, AI Builders
Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. About the role: At Cresta, AI Builders are how we put the power of AI directly into our customers’ hands. Through these builders, our users can design, configure, test, and deploy AI agents that automate tasks, or AI workflows that augment human agents and make them feel superhuman. As a Product Designer on AI Builders, you’ll design the tools that make this possible. That means owning the end-to-end experience of how customers build, evaluate, and ship AI — navigating the nuanced interplay between agentic and deterministic workflows, and finding the right balance between the two. You’ll sit at the intersection of LLM capabilities, CX operations, and workflow design, translating powerful AI primitives into builder experiences that real contact center teams (from developers to business operators) can adopt and scale with confidence. Responsibilities: - You’ll turn the complexity of AI and business logic into builder experiences that feel intuitive and self-serve, for both technical users (developers) and non-technical ones (business operators) - You’ll pair vibe coding/design with your engineer and designer partners to spin off builder concepts and iterate them into polished, production-ready experiences - You’ll partner with PMs and tech leads to define problem spaces, north‑star experiences, and iterative milestones - You’ll run discovery and evaluative research with our users – interviews, workflow walkthroughs, usability tests, and competitive analysis, to understand how they work today and where AI can meaningfully help. - You’ll collaborate closely with PMs, MLEs, FDE/FDPMs, Customer Success, and Marketing teams across the organization. - You’ll advocate for craft – raise the quality bar and help the team develop a shared eye for what great looks like - You’ll have good judgment of when to ship: perfect is the enemy of good Qualifications We Value: - Education in Design, HCI, Interaction, or 5+ years equivalent industry experience - Experience in designing AI-driven workflows, no-code/low-code/agentic builders, or complex B2B enterprise applications - AI-native working style: comfortable using Claude Code, Cursor, MCP, or similar tools to move faster, prototype deeper, and push beyond what traditional design tooling (Figma) allows - Portfolio showcasing simple and elegant design solutions to complex problems, with a focus on end‑to‑end flows rather than isolated screens - Strong product thinking + a blend of UX disciplines (interaction design, prototyping, visual design, and user research) - Curious, adaptable, and a quick learner who thrives in a collaborative, team-oriented environment. Perks & Benefits: We offer a comprehensive and people-first benefits package to support you at work and in life: - Comprehensive medical, dental, and vision coverage with plans to fit you and your family - Flexible PTO to take the time you need, when you need it - Paid parental leave for all new parents welcoming a new child - Retirement savings plan to help you plan for the future - Remote work setup budget to help you create a productive home office - Monthly wellness and communication stipend to keep you connected and balanced - In-office meal program and commuter benefits provided for onsite employees Compensation at Cresta: Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family. Salary Range : $150,000–$205,000 + Offers Equity We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have bee Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact recruiting@cresta.ai (if you are opting out, please use the subject ‘Opt-Out’ in your email). Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed. Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta .ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.
Senior Developer Relations Engineer
Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. About the role: Cresta is looking for a Senior Developer Relations Engineer to become the technical voice of our AI agent platform in the developer and partner community. This is a hands-on, hybrid role: part software engineer, part storyteller, part community builder. You'll show developers, partners, and prospective customers how to build, test, and ship real AI agents on Cresta, primarily through video, blog posts, tutorials, and workshops, and you'll bring what you learn from that community back into the product. Cresta's platform is enterprise-heavy (large regulated customers, complex integrations, rigorous testing and evaluation requirements), so this role needs someone who can go deep technically, not just narrate a demo. We also maintain some open-source tooling and sample projects, so comfort working in the open is a plus. What You'll Do : - Create technical content that teaches developers how to build AI agents on Cresta : blog posts, written tutorials, and long- and short-form video (walkthroughs, live coding, demo breakdowns). - Build and maintain sample apps, code snippets, and reference integrations that show best practices for building, testing, and evaluating agents on the platform, including in open-source repos where appropriate. - Plan and run workshops for developers and partners, both virtual and in-person, that take people from zero to a working agent. - Represent Cresta at conferences, meetups, and partner events , delivering talks and demos and engaging directly with attendees. - Run a feedback loop with developers and partners : collect what's confusing, missing, or broken in the platform and developer experience, and route it to Product and Engineering with clear, actionable detail. - Partner cross-functionally with Product, Engineering, and Marketing to keep messaging and documentation aligned with what the platform can actually do. - Improve onboarding and the first-build experience for new developers and partners evaluating the platform, including getting-started guides and sandboxes. - Stay hands-on with agent building and testing : prompt engineering, tool/function calling, RAG, and evaluation, so the content you produce reflects real, current platform capability rather than marketing copy. What We're Looking For: - 3+ years of experience as a software engineer, ML engineer, or developer advocate, with strong technical credibility and hands-on coding ability. - Practical experience building and testing AI agents: LLMs, prompt engineering, agent frameworks, function calling, RAG. - Comfortable working in Python and/or Golang/TypeScript; able to read and write real integration code (APIs, webhooks, CRMs). - A track record of developer content: blog posts, tutorials, or videos that other engineers have actually used. - Public speaking or workshop-facilitation experience at meetups, conferences, or customer/partner events. - Excellent written and verbal communication; able to explain enterprise-grade technical concepts clearly to a developer audience. - Comfortable in an enterprise context: the platform's complexity, testing rigor, and partner requirements mean you'll need patience and depth, not just a flashy demo. - Startup mindset: able to move fast, wear multiple hats, and adapt as the DevRel function and program mature. - Bonus: - experience contributing to or maintaining open-source projects. - based in the Bay Area Perks & Benefits: We offer a comprehensive and people-first benefits package to support you at work and in life: - Comprehensive medical, dental, and vision coverage with plans to fit you and your family - Flexible PTO to take the time you need, when you need it - Paid parental leave for all new parents welcoming a new child - Retirement savings plan to help you plan for the future - Remote work setup budget to help you create a productive home office - Monthly wellness and communication stipend to keep you connected and balanced - In-office meal program and commuter benefits provided for onsite employees Compensation at Cresta: Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family Base Salary Range : $170,000–$300,000 + Annual Bonus & Offers Equity Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact recruiting@cresta.ai (if you are opting out, please use the subject ‘Opt-Out’ in your email). Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed. Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta .ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.
Product Design Intern for AI and Human Agents Plat...
Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun , the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu , the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi , an early member of Open AI. Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta. About the role: We seek driven UX interns to help shape the future of Cresta’s human + AI agents platform, which powers AI-powered business workflows and automations for contact center operators. Your responsibilities will include designing the end-user experiences and the tools and workflows that enable these experiences. As a product design intern at Cresta, you are at the forefront of a technological breakthrough with LLM and Generative AI. This unique position allows you to transform how people interact with AI meaningfully. With the help of a design supervisor, you will get to work on the end-to-end UX process, including product design, user research, and visual design elements, to create world-class experiences. Responsibilities: - You’ll generate novel UX ideas for Conversation Intelligence and AI Agents, considering the needs of various user personas. - You'll analyze user and business challenges, propose feasible solutions, and collaborate with engineers to bring designs to life. - You'll support user research, including usability testing, competitive analysis, customer interviews, behavioral insights, and metrics analysis to inform designs. - You will prototype quickly (Figma, Cursor, Claude, Voice API, etc.) to explore different UI paradigms - You’ll collaborate closely with Engineers, PMs, ML experts, Customer Success, and Sales teams across the organization. - You’ll present and communicate concepts to supervisors and cross-functional teams. Qualifications We Value: - Currently pursuing a Bachelor's Degree in Design, HCI, or a related field, with a strong academic track record - A strong portfolio showcasing user-centric design thinking, polished UI craftsmanship, and innovative interaction paradigms, including academic or personal projects - Proficiency in prototyping: skilled at using tools like Cursor, Claude Code, V0, or the latest AI tools to build realistic prototypes. - Experienced in user-centered design, with practical expertise across key UX disciplines, including interaction design, prototyping, visual design, and user research. - Curious, adaptable, and a quick learner who thrives in a collaborative, team-oriented environment. Perks & Benefits: - $30-$50 per hour subject to taxes - Lunch and Dinner can be expensed (up to $25 each) while working in the office. - PT0: 4 days Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details. This posting will be used to fill a newly-created role. We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact recruiting@cresta.ai (if you are opting out, please use the subject ‘Opt-Out’ in your email). Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed. Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta .ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.
Manager of Enterprise AI Success.
Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. About the Role: As the Manager of Enterprise Customer Success at Cresta , you will lead and develop a high-performing team of AI Success Managers supporting our enterprise customers. Customer Success at Cresta has evolved beyond a traditional relationship-management model. Our AI Success Managers operate as a hybrid of strategy consultant, AI product expert, and account owner—helping enterprise customers translate AI capabilities into measurable business outcomes, drive adoption, and navigate meaningful workflow and process change. In this highly visible leadership role, you will build the operating rhythm, coaching culture, and customer strategy that enables your team to deliver exceptional outcomes across a complex enterprise portfolio. You will partner closely with Sales, Product, Engineering, Marketing, and Professional Services to drive retention, expansion, and long-term customer value. Key Responsibilities: - Lead and Develop AI Success Managers: Hire, coach, and develop a world-class team of Enterprise AI Success Managers. Create the tools, training, and career development needed for the team to excel in a rapidly evolving AI environment. - Drive Strategic Customer Outcomes: Guide your team in building trusted relationships with executive, operational, and technical stakeholders. Ensure customers have clear success frameworks, actionable plans, and measurable paths to value. - Lead at Enterprise Scale: Coach and support AI Success Managers as they manage multiple complex enterprise accounts simultaneously. This requires strong prioritization, operational discipline, resilience, and grit—helping customers navigate competing priorities while continuing to drive adoption, value realization, renewals, and expansion across the portfolio. - Scale AI Adoption and Value Realization: Help the team move customers from AI ideas to real-world impact—driving adoption, usage, workflow change, and measurable performance improvements through Cresta’s platform. - Coach for Product Expertise and Execution: Ensure AI Success Managers develop deep product fluency and the confidence to engage hands-on when needed, including guiding customers on product configuration, prompts, workflows, rules, and new capabilities. - Own Retention and Expansion: Lead the team’s strategy and execution around customer health, renewals, risk mitigation, and expansion. Partner with Sales to identify opportunities to deepen Cresta’s impact across accounts. - Establish Operational Excellence: Define, monitor, and improve key success metrics, including adoption, time-to-value, customer health, Gross Renewal Rate, and Net Dollar Retention. Use data to identify trends, prioritize action, and improve team performance. - Drive Cross-Functional Alignment: Partner closely with Sales, Product, Engineering, Marketing, and Professional Services to ensure a seamless customer experience and accelerate customer outcomes. - Champion the Voice of the Customer: Bring customer insights, challenges, and opportunities into the organization. Partner with Product and Engineering to influence priorities and help shape how Cresta continues to serve enterprise customers. We’re Looking For Someone Who: - Has experience leading and developing Customer Success, Strategic Account Management, Consulting, or similarly customer-facing teams in a fast-paced SaaS, AI, or technology environment. - Brings a strong track record of driving retention, expansion, adoption, and measurable customer outcomes across enterprise accounts. - Has experience leading teams that manage a high-volume portfolio of complex enterprise customers, with the prioritization, grit, and operational rigor required to deliver meaningful outcomes at scale. - Understands how to coach a team to connect technical capabilities and product usage to real business results—not just feature adoption. - Is comfortable operating in a technical, AI-driven environment and can help their team build fluency in SaaS configuration, data analysis, AI tools, and evolving product capabilities. - Thinks strategically and systematically, with the ability to bring structure to ambiguity and translate insights into action. - Has exceptional executive communication skills and can build trust with customers and internal stakeholders at every level. - Is highly data-driven and able to use performance metrics to identify risks, coach teams, and improve customer outcomes. - Thrives in a high-growth environment where the product, customer needs, and best practices are evolving quickly. - Is willing to travel approximately 25% and work across time zones. Perks & Benefits: We offer a comprehensive and people-first benefits package to support you at work and in life: - Comprehensive medical, dental, and vision coverage with plans to fit you and your family - Flexible PTO to take the time you need, when you need it - Paid parental leave for all new parents welcoming a new child - Retirement savings plan to help you plan for the future - Remote work setup budget to help you create a productive home office - Monthly wellness and communication stipend to keep you connected and balanced - In-office meal program and commuter benefits provided for onsite employees Compensation at Cresta: Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. Base Salary Range: $180,000–$245,000 + Bonus + Equity Actual base salaries will be based on candidate-specific factors, including experience, skill set, location, and applicable local minimum-pay requirements. Your recruiter can provide further details. In addition, total compensation includes a comprehensive benefits package for you and your family. Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact recruiting@cresta.ai (if you are opting out, please use the subject ‘Opt-Out’ in your email). Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed. Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta .ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.
Conversational Design, Demo Engineer
Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. About the Role As a Conversational Design, Demo Engineer you will play a critical role in supporting pre-sales engagements through the design, analysis, and demonstration of Cresta’s AI capabilities. You’ll partner closely with Solution Engineers and Demo Engineering to craft compelling, high-quality conversational experiences that showcase Cresta’s value to prospective and existing customers. Your work will focus on establishing clear business cases for net new and upsell opportunities, using conversation design and data-driven assessments to highlight measurable impact. You will leverage your understanding of different contact center verticals, such as financial services, insurance, telecommunications, retail and much more to tailor designs that resonate with each customer’s unique environment and goals. This role requires close collaboration across Machine Learning, Product, Data Science, Customer Success, and Sales Engineering teams to ensure every customer-facing experience reflects the best of Cresta’s AI product suite. Responsibilities: - Collaborate closely with Solution Engineers and Demo Engineering to design and deliver high-impact, AI-driven demos, Proofs of Concept (POCs), and Conversation Assessments that clearly articulate Cresta’s value in real-world customer scenarios. - Develop and generate high-quality synthetic conversations and AI model behaviors that realistically simulate customer interactions and bring priority use cases to life in pre-sales environments. - Conduct in-depth Conversation Assessments and data analyses to uncover opportunity areas, quantify measurable impact, and build compelling business cases for net-new logo acquisition and upsell expansion. - Continuously enhance demo environments by strengthening QA/QM frameworks, reporting layers, behavioral configurations, intent mining, metadata generation, and dashboard development to ensure accuracy, realism, and actionable insight. - Design dashboards that tell a compelling business story. Be meticulous in defining metadata layers and required attributes to make demo environments feel authentic and industry-specific - Pro in Establishing structured Gen AI frameworks for e.g. complaint detection, customer experience measurement, repeat call analysis, and other traditionally subjective evaluation areas using Generative AI best practices. Develop scalable methodologies that move beyond keyword-based logic toward AI-driven contextual understanding. - Lead the design of QA automation frameworks that maximize projection and coverage through a combination of GenAI capabilities and advanced keyword features, reducing subjectivity while increasing consistency, accuracy, and scalability. - Build cross-vertical expertise (e.g., insurance, banking, telecom, retail, hospitality) and adapt tone, workflows, and interaction strategies to reflect each industry’s operational nuances and KPIs. - Strategize and design scalable demo accounts that can be provisioned as sandbox environments for clients. Own end-to-end maintenance, optimization, and governance of these accounts to ensure readiness and reliability.Develop structured GTM templates and reusable demo narratives for Solution Engineers aligned to key use cases, enabling consistent and compelling storytelling during customer engagements. - Design and deploy AI Agent experiences using flow-based, prompt-based, and hybrid architectures across both voice and chat channels. - Contribute forward-thinking ideas on product scalability, feature evolution, and competitive differentiation. Analyze competitor approaches and proactively recommend ways to outpace the market.Challenge the status quo by introducing innovative, scalable processes and frameworks that improve efficiency, repeatability, and demo impact. - Support and enhance Cresta’s Opera Enablement Program, empowering customers to independently design, build, test, and QA their own AI models within structured best-practice frameworks Qualifications we Value: - Strong alignment with Cresta’s culture and values — driven by a genuine desire to make people’s lives easier, even in fast-paced and high-pressure environments. Demonstrates resilience, positivity, and ownership, with the ability to maintain energy and focus when workloads are demanding. Brings a growth mindset, remains coachable, and continuously seeks new ideas to improve collaboration, team dynamics, and collective progression - Deep understanding of contact center operations, performance metrics, and workflows across industries such as financial services, insurance, retail, and telecommunications. Clear awareness of the ongoing market shifts transforming contact centers — including AI adoption, automation, agent augmentation, omnichannel engagement, and operational efficiency mandates. - Strong perspective on evolving contact center technologies and the tools agents use daily. Ability to think from both the agent and end-customer viewpoint, identifying how conversational intelligence and AI agents can simplify workflows, reduce friction, and improve overall experience. Prior hands-on contact center exposure is highly valued. - Knowledge of industry-specific challenges and structural changes impacting contact center verticals today, and a clear understanding of how conversational AI and AI agents can streamline operations, improve compliance, drive retention, and enhance service quality. - Experience collaborating cross-functionally with Solution Engineers, Sales, and Product teams in pre-sales, demo, or POC-driven environments. - Minimum 3+ years of experience in conversational design, including building bots, virtual agents, AI-driven workflows, or conversation analytics solutions. - Fluency in a second language is a plus. Compensation at Cresta Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family. Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact recruiting@cresta.ai (if you are opting out, please use the subject ‘Opt-Out’ in your email). Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed. Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta .ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.
Staff Software Engineer, Inference
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You’ll Do: Inference Platform Team The Inference team builds and operates CoreWeave’s Kubernetes-native inference platform, powering low-latency, high-throughput AI workloads at massive scale. The team is responsible for request routing, scheduling, GPU resource management, and system-wide optimizations that drive performance, efficiency, and reliability across real-time inference systems. About the role: As a Staff Software Engineer (IC5) on the Inference team, you will act as a technical leader driving architecture, performance, and reliability across multiple services and teams. Your day-to-day will involve leading cross-team design initiatives, optimizing inference performance (latency, throughput, and GPU utilization), and improving system reliability at scale. You will work deeply in distributed systems and Kubernetes-based infrastructure, focusing on areas like scheduling, batching, and memory optimization. This role requires hands-on technical leadership and the ability to influence engineering direction across the organization. Who You Are: - 8–12+ years of experience building and operating large-scale distributed systems or cloud platforms - Proven experience leading cross-team technical initiatives impacting multiple services or organizations - Strong programming skills in Go, Python, or C++ - Deep expertise in Kubernetes at production scale, including orchestration, scheduling, and service design - Strong understanding of distributed systems, networking, and performance optimization - Experience designing and operating low-latency, high-throughput systems with strict P95/P99 latency requirements - Hands-on experience with inference systems, including batching or micro-batching strategies, caching, and memory optimization - Experience improving system performance using metrics-driven approaches (e.g., latency, throughput, utilization) - Familiarity with mixed precision (BF16, FP8) and streaming inference workloads Preferred: - Experience with inference frameworks such as vLLM, Triton, TensorRT-LLM, Ray Serve, or TorchServe - Experience with GPU systems and performance optimization (CUDA, NCCL, RDMA, NUMA, GPU interconnects) - Experience leading multi-team or org-level technical initiatives - Exposure to large-scale AI/ML infrastructure or hyperscale cloud environments Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. - You love to design and optimize high-performance distributed systems at scale - You’re curious about AI inference, GPU systems, and emerging performance techniques - You’re an expert in building reliable, low-latency infrastructure and driving system-wide improvements Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Staff Software Engineer- AI Workload Orchestration
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You’ll Do: As a Staff Software Engineer (IC5) on the AI Workload Orchestration Platform team, you will act as a technical leader for CoreWeave’s Kubernetes-native orchestration strategy for AI workloads. You will define and evolve the architecture for how AI workloads are admitted, scheduled, and governed across large GPU clusters using frameworks such as Kueue, Volcano, and Ray . This platform serves as a strategic complement to SUNK (Slurm on Kubernetes) and underpins both training and inference workloads across the CoreWeave cloud. This role requires strong systems thinking, cross-team influence, and a long-term view of platform scalability, reliability, and developer experience. About the role: - Own the technical vision and architecture for major portions of the AI Workload Orchestration Platform - Design scalable, reliable orchestration primitives for AI workloads across multiple schedulers and runtimes - Lead cross-team architecture reviews and drive alignment across infrastructure, CKS, and managed inference teams - Define platform standards for reliability, observability, capacity management, and operational excellence - Identify and resolve systemic performance, scalability, and fairness issues across large GPU clusters - Mentor senior engineers and grow technical leadership within the organization - Represent the platform in technical reviews and influence broader CoreWeave platform strategy Who You Are: - 8+ years of professional software engineering experience, with deep expertise in distributed systems or cloud platforms - Strong proficiency in Go and experience designing large-scale, long-lived production systems - Deep knowledge of Kubernetes internals , scheduling mechanisms, and controller-based architectures - Demonstrated experience designing or evolving orchestration, scheduling, or resource-management platforms - Proven ability to lead technical initiatives across teams without direct authority - Strong operational mindset with experience owning mission-critical systems at scale Preferred qualifications: - Hands-on experience with Kueue, Volcano, Ray , or similar Kubernetes-native orchestration frameworks - Background in AI infrastructure, ML platforms, HPC, or large-scale batch and streaming systems - Deep understanding of scheduling concepts including fairness, pre-emption, quota management, and multi-tenant isolation - Experience defining and operating SLOs , capacity models, and large-scale reliability improvements - Contributions to open-source infrastructure or orchestration projects Wondering if you’re a good fit? We believe in investing in our people and value candidates who can bring their diverse experiences to our teams – even if you aren't a 100% skill or experience match. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Sr. Engineering Manager, Inference
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . CoreWeave is looking for a Sr. Engineering Manager to lead the core team for our next-generation Inference Platform. What You’ll Do: As a Sr. Engineering Manager for the Inference team, you will lead a team of senior and staff engineers building and operating CoreWeave's Kubernetes-native inference platform. What We're Looking For - 8+ years of experience building and operating large-scale distributed systems or cloud services - 3+ years of engineering management experience, including managing senior and staff-level engineers - Track record owning a production service end to end including availability, latency, capacity, and cost - Deep expertise in Kubernetes at production scale, including orchestration, scheduling, and service design - Strong understanding of distributed systems, networked services, and performance under load; able to lead architecture and code review without owning the critical path - Experience defining and defending SLIs/SLOs and error budgets, and building the operational practice behind them - Experience with multi-tenant platforms: isolation, quota, noisy-neighbor mitigation, and fair sharing - Excellent communication and stakeholder management; able to create clarity in ambiguous or fast-scaling environment. - Demonstrated track record of growing and promoting engineers, including into senior and staff-level roles - Experience running performance calibration and making accurate leveling decisions - Experience managing underperformance directly and fairly, as well as retaining top performers - Experience building and owning a hiring bar and interview process for senior engineering roles Platform & Service Expertise - Experience operating low-latency, high-throughput request-serving systems against strict P95/P99 targets - Working knowledge of autoscaling, load balancing, admission control, and traffic management at scale - Experience with capacity planning and demand forecasting for constrained or expensive resources - Familiarity with GPU-backed workloads and the scheduling and utilization trade-offs they introduce - Progressive delivery practices canarying, feature gating, safe rollback for always on services Nice to Have - Experience operating a customer-facing cloud service or developer platform, including API and control-plane design - Familiarity with inference-serving stacks such as vLLM, Triton, TensorRT-LLM, Ray Serve, or TorchServe - Experience operating multi-region fleets at a cloud provider or hyperscaler - Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry) - Experience scaling teams, tooling, and processes in a high-growth environment Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. - You love to build frictionless products for developers - You’re curious about AI and MLOps tooling - You’re an expert in building inference systems that scale for production workloads Why Us? At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $188,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Senior Software Engineer II (IC4) – AI Workload Or...
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . About the Role As a Senior Software Engineer II (IC4) on the AI Workload Orchestration Platform team, you will help build and operate CoreWeave’s Kubernetes-native platform for admitting, scheduling, and operating AI workloads at scale. This platform integrates multiple orchestration and scheduling frameworks such as Kueue, Volcano, and Ray to support modern AI training and inference workflows. It complements SUNK (Slurm on Kubernetes) by providing a Kubernetes-first, cloud-native orchestration layer with deep platform integration. You will own meaningful components of the platform, drive reliability and performance improvements, and help scale the system as customer demand and workload complexity continue to grow. What You’ll Do - Design, build, and operate Kubernetes-native services for AI workload orchestration and scheduling - Own one or more platform components end-to-end, including design, implementation, testing, and on-call support - Improve scheduling latency, cluster utilization, and workload reliability through metrics-driven engineering - Contribute to architectural discussions across services and influence design decisions within the platform - Work closely with adjacent teams (CKS, infrastructure, managed inference) to ensure clean interfaces and integrations - Mentor junior engineers and raise the quality bar for code, design, and operations Who You Are - 5–8 years of professional software engineering experience in distributed systems, cloud infrastructure, or platform engineering - Strong experience building production systems in Go (Python or C++ a plus) - Solid understanding of Kubernetes fundamentals , APIs, controllers, and operating services in production - Experience working with scheduling, resource management, or quota-based systems - Proven ability to improve system reliability and performance using data and operational metrics - Comfortable owning services in production and participating in on-call rotations - Bachelor’s Degree in Computer Science, Engineering or related technical field. Preferred Qualifications - Experience with Kubernetes-native orchestration frameworks such as Kueue, Volcano, Ray, Kubeflow, or Argo Workflows - Familiarity with GPU-based workloads, ML training, or inference pipelines - Knowledge of scheduling concepts such as quota enforcement, pre-emption, and backfilling - Experience with reliability practices including SLOs, alerting, and incident response - Exposure to AI infrastructure, HPC, or large-scale distributed compute environments The base salary range for this role is $182,000.00 - $242,000.00. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Senior Software Engineer - Perf and Benchmarking
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . About this role We’re looking for a Senior Engineer for CoreWeave’s Benchmarking & Performance team. You will have an integral part in our planet-scale performance data warehouse: Ingesting, storing, transforming and analyzing performance events in all the data centers across our global infrastructure. You will also aid us in achieving industry-leading end-to-end performance benchmarking publications such as MLPerf. You will be an owner who leads designs, raises engineering standards, and delivers measurable improvements to latency, throughput, and reliability across multiple services. You’ll partner with product, orchestration, and hardware teams to evolve our Kubernetes-native platform and meet strict P99 SLAs at scale. What you’ll do - Develop and enhance Kubernetes-native benchmarking services that measure latency, throughput, jitter, and cost-per-request across CoreWeave’s compute stack. - Contribute to implementing and maintaining benchmarking workflows for end-to-end MLPerf Training and Inference runs, including workload setup, cluster configuration, and result validation. - Participate in design discussions and contribute to architecture decisions within the team. - Break down engineering tasks into clear milestones and deliver reliable, high-quality code. - Collaborate with teammates to maintain reproducible, well-documented benchmarking processes. - Provide constructive code reviews and share best practices with peers. - Mentor junior engineers; review cross-team designs and elevate coding/testing standards. - Help ensure reproducible, well-documented benchmarking processes. Who you are - 3–5 years of experience building distributed systems, high-performance computing components, or cloud services. - Strong programming skills in Python or Go (C++ a plus) with understanding of networked systems and performance fundamentals. - Hands-on experience with Kubernetes in production environments plus familiarity with CI/CD and observability tools (e.g., Prometheus, Grafana, OpenTelemetry). - Exposure to performance-critical GPU systems (CUDA, NCCL, NVLink/PCIe, memory bandwidth) or model-serving stacks (llm-d, vLLM, TensorRT-LLM, Megatron-LM). - Effective communicator comfortable working cross-functionally. Nice to have - Experience with time-series databases, LSM-based storage engines, or custom data pipelines. - Familiarity with MLPerf or other large-scale benchmarking frameworks. - Contributions to OSS projects such as llm-d, vLLM or PyTorch. - Exposure to benchmarking GPU clusters or multi-region environments. - Background working with CUDA kernels, NCCL/SHARP, RDMA/NUMA, or GPU interconnect topologies. The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Account Executive - Greenfield - Toronto
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: CoreWeave is the essential Cloud for AI — a NYSE-listed, hyperscale infrastructure platform purpose-built for GPU-accelerated compute. Through our acquisition of Weights & Biases, we now offer the industry's most complete AI stack: from the raw compute that trains and serves models, to the developer platform that helps teams build, evaluate, and deploy them. Our customers include OpenAI, NVIDIA, Microsoft, and over 30 of the world's leading foundation model builders. About the role: This is a pure hunter role. You will own net-new logo acquisition across a greenfield Enterprise territory (5,000+ employee organizations), selling the full CoreWeave platform — GPU cloud infrastructure and AI developer tooling — as a unified solution. You will build pipeline from zero, run technical discovery across infrastructure and software buying centers, and close complex, multi-product enterprise contracts. You won't inherit a book. You build one. - Own all net-new logo acquisition in a defined Enterprise territory - Sell the full CoreWeave platform as a unified solution: GPU cloud infrastructure and AI developer tooling, independently and as a bundled offering - Build pipeline through cold outbound, PLG signal tracking, and account-based strategies — consistently booking 4–5 qualified meetings per week - Construct a focused target account list from a large, noisy territory — prioritize accounts with active AI infrastructure spend or free-tier platform adoption - Engage developers, ML engineers, infrastructure leads, and technical executives (CTOs, VPs of Eng/ML, Heads of AI Infrastructure) early — before formal buying motions exist - Run structured technical discovery across both compute and software buying centers to surface pain, map architecture, and build a case for change - Lead business justification readouts and executive presentations that connect CoreWeave's platform to measurable infrastructure and model development outcomes - Partner with Solution Architects to co-design and execute technical Proof of Values (PoVs) across compute provisioning, model training workflows, and AI developer tooling - Convert PLG free-tier usage into enterprise platform contracts — identify adoption signals and build multi-product expansion justification - Manage full sales cycles from cold outreach through close including MSA negotiation, procurement, security review, and legal - Maintain rigorous pipeline hygiene, forecasting, and activity tracking in CRM Who You Are: - 7+ years total in B2B sales with a consistent track record of quota attainment - 3+ years in enterprise sales (5,000+ employee organizations), navigating complex, multi-stakeholder, multi-product cycles - 3+ years selling developer tools, technical infrastructure, or AI/ML software — you can hold a meaningful conversation with an ML engineer, infrastructure architect, or CTO - Experience selling both infrastructure/cloud and SaaS products — you understand how compute and software buying motions differ and how to navigate both within the same account - Ranked #1 or #2 on your team in self-sourced pipeline generation — 4–5 qualified meetings per week is your baseline - Demonstrated record of cold-sourcing and closing enterprise logos with business justification readouts to VP/C-suite buyers - PLG motion expertise — you convert bottoms-up product adoption into top-down enterprise contracts - Technical discovery skills — you ask the right questions to surface infrastructure pain, map ML workflows, and identify multi-product opportunities - PoV fluency — you've co-designed and run technical proofs of value with Solution Architects and navigated procurement across the finish line - Effective with or without SDR support — you've built pipeline from scratch and know how to leverage SDRs when available Preferred: - Experience selling GPU cloud, HPC, or AI infrastructure (compute, networking, storage) - Background selling AI/ML, MLOps, LLMOps, or adjacent developer tooling alongside infrastructure products - Familiarity with multi-product or platform sales — landing with one product and expanding into a second buying center - Experience at a company with a PLG motion and an enterprise sales overlay - Familiarity with MEDDPICC or Command of the Message sales frameworks Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. - You love the hunt — pipeline creation and net-new logos energize you more than account management - You're curious about how AI infrastructure is being built and scaled — you understand the compute side as much as the software side - You're an expert at earning trust with technical buyers — developers, infrastructure leads, and CTOs take your calls because you add signal, not noise Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $145,000/CAD to $200,000/CAD. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Account Executive - Greenfield
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: CoreWeave is the essential Cloud for AI — a NYSE-listed, hyperscale infrastructure platform purpose-built for GPU-accelerated compute. Through our acquisition of Weights & Biases, we now offer the industry's most complete AI stack: from the raw compute that trains and serves models, to the developer platform that helps teams build, evaluate, and deploy them. Our customers include OpenAI, NVIDIA, Microsoft, and over 30 of the world's leading foundation model builders. About the role: This is a pure hunter role. You will own net-new logo acquisition across a greenfield Enterprise territory (5,000+ employee organizations), selling the full CoreWeave platform — GPU cloud infrastructure and AI developer tooling — as a unified solution. You will build pipeline from zero, run technical discovery across infrastructure and software buying centers, and close complex, multi-product enterprise contracts. You won't inherit a book. You build one. - Own all net-new logo acquisition in a defined Enterprise territory - Sell the full CoreWeave platform as a unified solution: GPU cloud infrastructure and AI developer tooling, independently and as a bundled offering - Build pipeline through cold outbound, PLG signal tracking, and account-based strategies — consistently booking 4–5 qualified meetings per week - Construct a focused target account list from a large, noisy territory — prioritize accounts with active AI infrastructure spend or free-tier platform adoption - Engage developers, ML engineers, infrastructure leads, and technical executives (CTOs, VPs of Eng/ML, Heads of AI Infrastructure) early — before formal buying motions exist - Run structured technical discovery across both compute and software buying centers to surface pain, map architecture, and build a case for change - Lead business justification readouts and executive presentations that connect CoreWeave's platform to measurable infrastructure and model development outcomes - Partner with Solution Architects to co-design and execute technical Proof of Values (PoVs) across compute provisioning, model training workflows, and AI developer tooling - Convert PLG free-tier usage into enterprise platform contracts — identify adoption signals and build multi-product expansion justification - Manage full sales cycles from cold outreach through close including MSA negotiation, procurement, security review, and legal - Maintain rigorous pipeline hygiene, forecasting, and activity tracking in CRM Who You Are: - 7+ years total in B2B sales with a consistent track record of quota attainment - 3+ years in enterprise sales (5,000+ employee organizations), navigating complex, multi-stakeholder, multi-product cycles - 3+ years selling developer tools, technical infrastructure, or AI/ML software — you can hold a meaningful conversation with an ML engineer, infrastructure architect, or CTO - Experience selling both infrastructure/cloud and SaaS products — you understand how compute and software buying motions differ and how to navigate both within the same account - Ranked #1 or #2 on your team in self-sourced pipeline generation — 4–5 qualified meetings per week is your baseline - Demonstrated record of cold-sourcing and closing enterprise logos with business justification readouts to VP/C-suite buyers - PLG motion expertise — you convert bottoms-up product adoption into top-down enterprise contracts - Technical discovery skills — you ask the right questions to surface infrastructure pain, map ML workflows, and identify multi-product opportunities - PoV fluency — you've co-designed and run technical proofs of value with Solution Architects and navigated procurement across the finish line - Effective with or without SDR support — you've built pipeline from scratch and know how to leverage SDRs when available Preferred: - Experience selling GPU cloud, HPC, or AI infrastructure (compute, networking, storage) - Background selling AI/ML, MLOps, LLMOps, or adjacent developer tooling alongside infrastructure products - Familiarity with multi-product or platform sales — landing with one product and expanding into a second buying center - Experience at a company with a PLG motion and an enterprise sales overlay - Familiarity with MEDDPICC or Command of the Message sales frameworks Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. - You love the hunt — pipeline creation and net-new logos energize you more than account management - You're curious about how AI infrastructure is being built and scaled — you understand the compute side as much as the software side - You're an expert at earning trust with technical buyers — developers, infrastructure leads, and CTOs take your calls because you add signal, not noise Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $165,000 to $195,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). lijobs What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Member Technical Staff - Applied AI Engineer (US T...
Member of Technical Staff – Applied AI Engineering EXPERIENCE: 2–4 years TYPE: Full-time FOCUS: Applied AI Customer-facing WORK HOURS: US Timings LOCATION: Bengaluru ABOUT THE COMPANY At Composio, we are building infrastructure that allows AI agents to communicate with the tools people use for work, including GitHub, Gmail, Notion, Salesforce, and more. We are a small team of engineers working across context, auth, execution, and reliability to build the action layer for AI agents. We raised a $25M Series A from Lightspeed, with angel investors including Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of HubSpot), and Gokul Rajaram. Our customers range from YC startups to companies like Brex, Glean, Zoom, and more. ABOUT THE TEAM This is an applied AI engineering role, not a traditional support role. You will work directly with customers, learn the repeated work behind their problems, and build agentic systems that take that work over. When a customer needs direct engineering, you will debug and ship. When a pattern repeats, you will turn it into a workflow, eval, tool, or product capability that compounds. • The frontier: support is one of the richest applied AI environments — an agent has to gather context, reason across systems, use tools, take bounded action, verify the outcome, and communicate clearly. You design that system. • The trust bar: AI cannot be trusted by default with customer support. You define state, permissions, guardrails, evals, and escalation paths so the automation earns trust. • The feedback loop: it's immediate. Deploy into real support work, watch where the system fails, and improve it until people can hand over more of the job. ROLES AND RESPONSIBILITIES What you'll build • Agentic workflows that take over support functions: intake, classification, context gathering, reproduction, diagnosis, response drafting, remediation, verification, and follow-up. • Tool-using agents that safely inspect runs, logs, auth state, configuration, and provider behavior, then propose or execute bounded recovery actions. • Eval suites for diagnostic correctness, resolution quality, safe escalation, customer communication, and end-to-end task completion. • Human-in-the-loop systems that make ownership, uncertainty, approvals, handoffs, and failure states explicit. • The observability, memory, and feedback loops that let these agents improve from real support cases without repeating mistakes. • Product improvements that remove entire classes of customer issues instead of handling the same symptoms faster. How you'll work • Start with the customer outcome, then work backward into the model, workflow, tooling, or product change required to deliver it. • Own the hardest issues end to end when direct engineering is needed: reproduce, isolate, mitigate, ship, communicate, and verify the resolution with the customer. • Sit with customers and partner with Support, FDE, Product, and Engineering to find work that should become software. • Move from a rough prototype to a reliable production workflow, with traces, evals, guardrails, and a clear human fallback. • Use frontier models, coding agents, and internal AI tools every day to multiply your own engineering output. • Measure success in customer outcomes improved, support work removed, and classes of failure prevented. WHAT YOU'LL BRING • Experience level: 2–4 years of professional software engineering experience. Applied AI engineering • You have built production systems with language models, tool calling, retrieval, structured outputs, multi-step workflows, or agent memory. • You know how to use models and coding agents as leverage, and where their non-determinism creates hidden risk. • You use evals, traces, failure analysis, and fast iteration to make AI systems dependable. Strong systems engineering • You are an experienced backend, platform, or integration engineer who has shipped and operated production software. • You can debug across SDKs, HTTP, OAuth, webhooks, queues, data stores, logs, and third-party APIs. • You turn an ambiguous failure into a minimal reproduction, a root cause, and a durable fix. Customer-adjacent building • You are deliberately choosing to work closer to customers because you want a tighter loop between what you build and the impact it creates. • You enjoy talking directly with technical users, turning a vague problem into a system, and watching that system change their outcome. • You communicate clearly under uncertainty, ask the exact next question, and never bluff. Workflow and product judgment • You can model a support function as states, tools, permissions, handoffs, verification steps, and escalation rules. • You know what should be automated, what should remain human, and how to increase autonomy without reducing trust. • You fix the class of problem, not only the visible symptom. OPTIONAL • TypeScript or Python in production. • Experience building AI agents, copilots, workflow automation, or eval infrastructure. • Experience with a developer platform, API product, support engineering, SRE, or incident response. • Familiarity with OAuth 2.0, webhooks, rate limits, Postgres, queues, and cloud observability. • Experience with support systems such as Plain, Zendesk, Intercom, or Salesforce. • Public technical writing, open source contributions, or unusually good debugging notes.
Software Engineer, Athelas Home
At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs. Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for “Overall NLP Company of the Year.” Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here. The future of healthcare is being built right now. Come deliver this transformation. About the Role Commure is on the lookout for Software Engineers to join our Athelas Home Engineering team, playing a pivotal role in enhancing our FDA-cleared IoT medical device product. The Athelas Home is a portable device that segments and counts the hematology composition of an individual's blood. Our product captures high resolution imagery of a blood sample and utilizes an ML model to determine the concentration of white blood cells using a few drops of blood. Hardware, software, and chemistry come together in concert to produce a streamlined, efficient, and powerful diagnostics platform whose results are as accurate as gold-standard devices at a fraction of the cost. Today, these devices are deployed and active across the world, making bloodwork more comfortable for patients and more accessible for their doctors. This position is perfect for someone who has experience with full stack software engineering; enjoys building new features and improving infrastructure, and has an interest in the medical device R&D space. You’ll be working in a small multi-functional engineering team comprised of chemical and hardware engineering, manufacturing, and quality. What You'll Do - Development of existing backend and frontend services for the Athelas device product: improving our infrastructure, architecting and building robust, scalable back-end service - Translate product requirements into technical solutions - Implementation of cybersecurity best practices throughout the software development lifecycle - Collaborate with engineering, operations, quality, and regulatory functions to ensure that production software systems meet both operational, security, and regulatory requirements - Utilize a stack comprising Python, Flask, React, Postgres, Kubernetes, Docker - Apply problem-solving and analytical skills to diagnose and resolve technical issues efficiently, ensuring the stability and performance of our systems - Establish and enforce best practices for code quality, testing, and deployment What You Have - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent extensive experience required - Professional software engineering experience required, proficiency in Python - Deep expertise in developing and managing data pipelines and experience with PostgreSQL or similar relational database management systems - Advanced knowledge in Containerization and Cloud Services (Docker, Kubernetes) - A strategic thinker with a builder’s mindset, passionate about high-impact projects - Demonstrated expertise in building, scaling, and maintaining sophisticated production environments - Advanced skills in system monitoring, alerting, reporting, metrics tracking, and software reliability engineering - An exceptional sense of product development with a keen focus on user experience and customer needs - A commitment to ongoing personal and professional development Nice To Have - Experience or interest in embedded software engineering – developing application software for embedded systems (Linux-based IoT medical device). Experience with hardware interfaces (GPIO, camera control, serial communication) and embedded Linux systems is a plus, though not required. Note: This is application software development on embedded hardware, not low-level firmware engineering. - Experience or interest in the design, training, and optimization of computer vision models for blood diagnostics, including object detection and classification models. Work across the ML lifecycle from data preparation and model training to deployment and performance monitoring. Please be aware that all official communication from us will come exclusively from email addresses ending in @commure.com http://commure.com. Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.
AI Voice Agent
At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs. Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for “Overall NLP Company of the Year.” Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here. The future of healthcare is being built right now. Come deliver this transformation. About the Role We are looking for a detail-oriented Voice Agent to conduct outbound research calls to prospective businesses. The primary responsibility is to measure how long each business keeps callers on hold, capture clear evidence of the call duration, and accurately record the findings in a spreadsheet. What You’ll Do - Call prospects using an approved contact list and calling process. - Follow the provided call script and professionally navigate automated menus or reception desks. - Measure and record the time spent on hold. - Capture a screenshot of the call screen clearly showing the call duration or hold time. - Upload or link each screenshot to the corresponding spreadsheet entry. - Accurately record details such as: - Prospect or business name - Phone number - Date and time of the call - Hold start and end times - Total hold duration - Call outcome - Relevant notes - Verify that every entry is complete and matched with the correct screenshot. - Protect confidential information and follow all applicable calling, privacy, and data-handling requirements. - Escalate invalid numbers, unusual call outcomes, or data-quality issues to the supervisor. What you have - Clear and professional verbal communication skills. - Strong attention to detail and accuracy. - Comfortable making a high volume of outbound calls. - Basic proficiency with Google Sheets or Microsoft Excel. - Ability to capture, organize, and upload screenshots. - Reliable internet connection and access to a suitable calling device. - Ability to follow scripts and documented procedures consistently. Nice to Have - Good time-management and organizational skills. - Prior experience in calling, lead generation, customer service, quality assurance, or data entry is preferred but not required. Please be aware that all official communication from us will come exclusively from email addresses ending in @commure.com http://commure.com. Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.
Software Engineer, Platform & Inference
ABOUT CHAI DISCOVERY Chai builds the design suite for molecules. We train frontier models that learn the underlying foundations of biochemical structure and interaction, so scientists can move faster and pursue targets that other methods cannot reach. AI is reinventing life sciences the same way it reinvented software engineering, and Chai is at the forefront of this shift. Leading pharmaceutical companies like Eli Lilly https://endpoints.news/eli-lilly-chai-discovery-sign-ai-software-deal/, Pfizer https://www.forbes.com/sites/amyfeldman/2026/06/04/why-pfizer-and-eli-lilly-are-betting-on-this-13-billion-ai-drug-discovery-startup/, and Novartis https://www.chaidiscovery.com/news/novartis-partnership are adopting our platform to power their drug discovery programs. We value diverse perspectives and are ready to find greatness in unexpected places. About the role Platform engineers make Chai's models fast, cheap, and reliable at scale, and enable the outer loop that accelerates research: the infrastructure and software abstractions used to train, eval, and understand models. You'll own the serving stack that turns our frontier models into a product scientists depend on: latency, throughput, GPU efficiency, batching, and autoscaling across a large multi-cloud GPU fleet. You'll also contribute to the work that enables turning raw models into product-ready pipelines, and the experiment and observability tooling that lets a researcher ship faster. You've built high-performance services that developers love, moved ML systems into production at scale, and can see around corners before they become outages. You'll work closely with the researchers who train the models, the product engineers who build on them, and the commercial team deploying them to the world's largest pharma companies. About you We index on systems judgment, ownership, and the scars that come from having run production infrastructure before. We're looking for engineers who get obsessed with hard problems and don't give up easily. We look for: - 4+ years building production systems, with real depth in performance, distributed systems, or ML serving - Experience optimizing model inference: GPU utilization, batching, quantization, caching, or kernel-level work - A platform mindset: you like building the tools and abstractions that make other engineers and researchers faster - End-to-end ownership of 24/7 systems, including observability, alerting, and incident response - Experience across both 0-to-1 buildouts and 1-to-n scale-ups, with an always-evolving playbook you bring wherever you go - The instinct to treat cost and efficiency as first-class constraints, not afterthoughts A background in biology is not required. What makes the difference is technical excellence, curiosity about the domain, and grit. WE OFFER The opportunity to work at the vanguard of AI research and frontier biology, with world-class people, on a mission that matters. We protect & promote a culture of high velocity and ownership. We compensate our team accordingly.
Research Scientist
ABOUT CHAI DISCOVERY Chai builds the design suite for molecules. We train frontier models that learn the underlying foundations of biochemical structure and interaction, so scientists can move faster and pursue targets that other methods cannot reach. AI is reinventing life sciences the same way it reinvented software engineering, and Chai is at the forefront of this shift. Leading pharmaceutical companies like Eli Lilly https://endpoints.news/eli-lilly-chai-discovery-sign-ai-software-deal/, Pfizer https://www.forbes.com/sites/amyfeldman/2026/06/04/why-pfizer-and-eli-lilly-are-betting-on-this-13-billion-ai-drug-discovery-startup/, and Novartis https://www.chaidiscovery.com/news/novartis-partnership are adopting our platform to power their drug discovery programs. We value diverse perspectives and are ready to find greatness in unexpected places. ABOUT THE ROLE We are hiring research scientists with outlier insight who can drive new avenues for the work we pursue. From pre-training large diffusion models and architecture design, to post-training and inference time scaling, we draw upon the best ideas from within our domain and across the field. Our models have moved beyond protein structure prediction into real-world therapeutic engineering—and we have only just begun. Our team hails from physics, math, theoretical computer science, computational biology and related disciplines. Everyone is capable and self-sufficient, and everyone helps foster a highly collaborative and collegial environment. Our view is that executing on a long-term research program requires bringing together the right people, with access to the best resources, aligned towards common objectives. And nothing is more essential to our mission and our business than the progress of our research. ABOUT YOU We are looking for researchers driven by impact and foundational progress. We index on sustained focus, rigor and results—people who get obsessed with hard problems and don't give up easily. Folks with a nose for tackling the right questions at the right time, alongside an ample dose of grit and curiosity. We value academic training, research track record, and proven industry accomplishments; we are also more than willing to make a bet on rising talent. We look for engineering capability as well as literature fluency. WE OFFER The opportunity to work at the vanguard of AI research and frontier biology, with world-class people, on a mission that matters. We protect & promote a culture of high velocity and ownership. We compensate our team accordingly.
Principal Network Security 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 We are seeking a Principal Network Security Architect to lead the design and evolution of the networks that connect Cerebras's data centers, offices, and cloud environments — the foundation that delivers the fastest AI inference on earth to customers like OpenAI and AWS. You will set the architectural direction for high-performance, resilient enterprise and data center networking, and partner closely with Site Reliability, Security, and Infrastructure to operate at the scale and speed our compute demands. The right candidate brings senior network design depth, a track record of building at hyperscale, and the judgment to balance performance, reliability, and security in a rapidly growing environment. Responsibilities - Define and own the architectural roadmap for Cerebras's enterprise, data center, and cloud network estate. - Co-author secure design and lifecycle management of high-performance data center networking — including spine/leaf, RDMA, and high-bandwidth fabrics supporting wafer-scale compute. - Build and maintain an AI-agent based analysis and review framework for network changes as well as self-improvement driven by observed network patterns and use cases. - Partner with Network Security to deliver segmented, zero-trust-aligned network designs across data center and corporate environments. - Set standards for resiliency, observability, and capacity planning across the global network - Mentor engineers across regions (US, Canada, Bangalore, and beyond), and serve as the senior technical voice on cross-functional network initiatives. - Stay ahead of emerging networking patterns relevant to AI infrastructure and translate them into actionable architecture decisions. Skills and Qualifications - 10+ years of experience in enterprise and/or data center network engineering, including hands-on design and operations at scale. - Deep understanding in cloud networking and service mesh, with emphasis on K8s service mesh and virtual networks. - Deep expertise in routing, switching, and data center fabrics — including BGP, EVPN/VXLAN, and high-bandwidth/low-latency designs. - Hands-on experience with networking for high-performance compute or AI/ML workloads (RDMA, RoCE, InfiniBand exposure a plus). - Strong proficiency with network automation — infrastructure as code (Ansible, Terraform), version-controlled configuration, and CI/CD for network change. - Working knowledge of cloud networking (AWS preferred), including VPCs, transit gateways, Direct Connect, and hybrid connectivity patterns. - Experience operating networks at multi-site, global scale — including capacity planning, incident response, and vendor management. - Excellent written and verbal communication skills, with the ability to lead architecture conversations across technical and non-technical audiences. 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.
AI Fleet Platform 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 Cerebras operates AI clusters across a growing number of data centers. As the fleet expands, the software used to monitor and manage it must scale with it. We are seeking a senior software engineer to build the platforms and tools that help our teams understand fleet health, respond to issues, and keep compute capacity available. You will own substantial engineering work across backend services, operational tools, and user-facing applications. You will partner with Cluster Operations, infrastructure, inference, security, and data center teams to turn real operational challenges into software that works reliably at scale. RESPONSIBILITIES - Build and operate software for managing large fleets of AI clusters - Give operators clear, actionable views of cluster health, capacity, performance, and ongoing issues. - Develop services and integrations that bring together data and workflows from multiple infrastructure systems. - Automate repetitive work and improve the tools teams use to investigate incidents and restore service. - Design systems that remain reliable as the fleet grows and continue to function through component and site failures. - Work closely with users of the platform to understand their needs and make practical product and engineering decisions. - Lead projects from initial design to production, measure their impact, and use operational feedback to guide improvements. SKILLS AND REQUIREMENTS - 12+ years of industry experience building and operating production distributed systems or large-scale infrastructure software. - Strong Go skills. You will work with Go, Protocol Buffers, and SQL regularly. Python experience is an added benefit. - Experience building control planes, fleet management systems, or operational platforms. - Experience designing APIs and data models that serve multiple consumers, with a considered approach to versioning and compatibility. - Experience building asynchronous systems that support idempotency, concurrency, and reconciliation while preventing unintended state drift. - A strong testing practice, especially for software that can change the state of running production clusters. - Experience with Linux, containers, and Kubernetes. - Experience with durable workflow execution, event streaming, or time-series telemetry at high cardinality. - Sound judgment about reliability, security, and observability, including how a system behaves when its dependencies are unavailable. - Ability to take an ambiguous problem from design through production and improve the solution using operational feedback. PREFERRED EXPERIENCE - Building infrastructure software for thousands of hosts across multiple sites. - Developing software for incident response, hardware health, or capacity management. - Deploying and operating services on AWS. - Working with AI or HPC clusters and their compute, networking, and hardware systems. - Developing dashboards or applications for infrastructure operators. LOCATION - SF Bay Area. - Toronto, Canada. 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.
AI Datacenter Infra 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. ROLE Cerebras is looking for an AI Data Center Infrastructure Engineer to turn cluster architecture into precise, deployment-ready infrastructure designs. You will own the critical step between a high-level system design and its implementation in a real data center. This includes defining rack layouts, equipment placement, bills of materials, power requirements, and port and cable mappings for compute, network, and storage systems. Every deployment presents different constraints. You will adapt reference designs to the available space, power, cooling, connectivity, hardware, and logistics while preserving system performance, reliability, scalability, and serviceability. You will also help automate this work. By building tools, validation checks, and reusable design frameworks, you will make each deployment faster, more accurate, and easier to operate at scale. This role is well suited to an engineer who enjoys detailed systems work, practical problem-solving, and collaborating across hardware, networking, software, and data center operations. RESPONSIBILITIES - Translate cluster architectures and technical requirements into complete, deployment-ready infrastructure designs. - Produce and maintain rack elevations, equipment layouts, bills of materials, power allocations, port maps, and cable maps. - Adapt reference designs to site-specific constraints involving space, power, cooling, network connectivity, logistics, and hardware availability. - Validate that compute, storage, networking, power, and cabling designs work together as an integrated system. - Evaluate design trade-offs and recommend practical solutions that balance performance, reliability, scalability, cost, serviceability, and deployment schedule. - Partner with systems, network, hardware, manufacturing, supply-chain, and data center operations teams throughout the design and deployment process. - Participate in design and deployment-readiness reviews, identifying risks, inconsistencies, and missing requirements before installation begins. - Support deployment teams by resolving physical integration issues and documenting approved design changes. - Contribute to root-cause analysis when deployment or integration problems occur, and incorporate lessons learned into future designs. - Develop scripts and tools that automate design generation, BOM creation, cable mapping, consistency checks, and other repeatable workflows. - Improve templates, standards, documentation, and design processes so deployments become increasingly repeatable and scalable. QUALIFICATIONS - A bachelor’s or master’s degree in computer engineering, electrical engineering, computer science, or a related discipline—or equivalent practical experience. - One or more years of relevant experience in infrastructure engineering, data center design, systems integration, hardware deployment, or a related field. - Experience creating or working with rack elevations, equipment layouts, bills of materials, port maps, or cable maps. - A practical understanding of server, storage, and networking hardware and how these systems are physically integrated. - Familiarity with data center power, cooling, space, cabling, and serviceability constraints. - Experience using Python, Bash, PowerShell, or another language to automate technical workflows. - Strong analytical skills and close attention to detail. - The ability to turn incomplete or changing requirements into clear, actionable designs. - Clear written and verbal communication skills, including the ability to collaborate across several engineering disciplines. HELPFUL EXPERIENCE The following experience is valuable but not required: - Designing or deploying high-density AI, HPC, or large-scale compute clusters. - Working with high-speed Ethernet or InfiniBand networks, optical transceivers, fiber, DACs, or structured cabling. - Using infrastructure documentation, diagramming, DCIM, CAD, or source-controlled design tools. - Developing automated validation, configuration-generation, or infrastructure-modeling tools. - Supporting data center deployment, commissioning, hardware integration, or deployment-related incident analysis. - Working with contract manufacturers, colocation providers, installation partners, or supply-chain teams. 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. 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Researcher, Evals
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 The New Horizons Evaluations team is reimagining how we measure progress in interactive machine intelligence. As Evaluations Lead, you will design evaluation frameworks that capture not just what models know — but how they reason, remember, and interact over time. You’ll work at the intersection of research, product, and infrastructure to develop metrics, systems, and studies that define what “intelligence” means in the next generation of AI. This role is ideal for someone who combines scientific rigor with technical execution, and who’s deeply curious about how people use — and want to use — intelligent systems. Your work will shape how Cartesia builds and evaluates frontier models, ensuring that progress isn’t measured solely by static benchmarks, but by deeper qualities like understanding, naturalness, and adaptability in real-world interaction. YOUR IMPACT - Identify and define key model capabilities and behaviors that matter for next-generation model evals - Develop and implement new evaluation pipelines with robust statistical analysis and clear reporting - Partner closely with model training and research teams to embed evaluation systems directly into model development loops - Prototype new user studies and behavioral experiments to ground evaluations in real-world use. WHAT YOU BRING - Experience designing or implementing evaluation frameworks for generative models (audio, text, or multimodal) - Strong technical and analytical skills, ability to take open-ended research ideas and translate them into production-ready systems - Creativity in defining novel quantitative metrics for subjective or behavioral qualities - Excitement for building evaluation systems that bridge research and real-world use - Curiosity and rigor in equal measure; motivation driven by discovering how to measure meaningful progress in intelligent behavior NICE-TO-HAVES - Understanding of model alignment concepts and evaluation approaches 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.
Product & Research Operations Manager, Human 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. The Role We are looking for a Product and Research Operations Manager to design, scale, and operate Cartesia's global scaled evaluation workforce. This role sits at the intersection of product operations, data operations, and vendor management, and directly impacts model quality and customer outcomes. You will own the end-to-end workforce system: hiring pipelines, vendor strategy, workforce planning, quality control, and operational performance. You are building a production system of humans-in-the-loop for AI, translating ambiguous product needs into operational workflows and partnering across product, engineering, data, and customer-facing teams to support real-world evaluation at scale. Your Impact - Design and implement workforce structure across languages, skill tiers, and use cases, including evaluators, auditors, and leads for TTS products - Build capacity models to support continuous eval pipelines and data production workflows - Own relationships with vendors such as data annotation firms and contractor platforms, negotiating rate cards, SLAs, and throughput guarantees - Decide on build, buy, or hybrid workforce models and continuously benchmark cost and performance across regions - Design multi-layer QA systems spanning self-checks, peer review, audits, and gold tasks - Define and track inter-rater reliability, error rates by category, and annotator-level performance distributions - Build escalation and retraining workflows to maintain quality at scale - Run day-to-day operations including task allocation, throughput tracking, and SLA adherence - Build systems to reduce evaluator fatigue, rotate task types, and maintain consistency across large-scale evaluations - Partner with tooling teams to improve evaluator UX and with data teams to ensure clean, structured outputs for model training What You Bring - 6+ years in operations, workforce management, or data annotation systems - Experience managing large contractor or vendor-based workforces - Proven ability to scale operations from zero to production - Systems thinking with the ability to design scalable operational frameworks - Strong analytical skills with comfort around metrics like inter-rater reliability, precision, and throughput - Ability to execute quickly under ambiguity with close attention to quality and edge cases Nice to Have - Experience in AI/ML data operations or evaluation pipelines - Background in audio, speech, or language-related workflows - Familiarity with QA systems and annotation tooling - Experience with marketplace platforms such as Upwork or Mercor - Exposure to multilingual operations 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.
Developer Support Engineer (Singapore)
ABOUT THE COMPANY Braintrust is the agent observability platform. By actively applying intelligence to agent traces and automatically surfacing the most critical patterns, Braintrust gives teams the visibility to understand how agents behave in production and the tools to improve them. Teams at Notion, Stripe, Box, OpenAI, and Cloudflare use Braintrust to trace their agents, find the issues in their observability data, and run evals that tell them how to improve. ABOUT THE ROLE At Braintrust, surprisingly good developer support is one of our most important strategic advantages. Our customers are developers building LLM-powered applications, and they move fast. We win by helping them move faster. We’re looking for Developer Support Engineers — both mid-level and senior — who are obsessed with helping developers overcome challenging technical blockers to achieve their goals. You’ll troubleshoot issues, identify workarounds, ship fixes, and document your findings to help future developers move faster. This role blends technical problem solving, developer empathy, and tight collaboration with Engineering, Solutions, and Product. If you love solving complex problems, explaining technical concepts clearly, and making developers’ lives easier, we’d love to talk with you. This role will be remote based in Singapore. WHAT YOU’LL DO - Diagnose, troubleshoot, and resolve API and SDK use issues alongside customers codebases (Python or TypeScript). - Reproduce customer-reported bugs, identify likely causes in our codebase, and collaborate with Engineering to resolve them. - Own support communications with developers using Braintrust — primarily via Slack and email — and build trust through clear, technical, and empathetic communication. - Write and maintain knowledge base documentation that turns unknowns into knowns, unblocking future developers. - Identify opportunities to improve the developer experience, including tools, documentation, and support workflows. - Write scripts, fix bugs, and contribute to internal tooling that enhances the support process. - Capture and relay customer feedback to Product and Engineering, helping shape roadmap priorities. - Participate in on-call rotations, responding to critical customer issues or providing coverage during local holidays. - Provide technical mentorship to cross functional peers and guide support processes and escalation handling. - Develop and champion opinionated stances on improving developer experience and product reliability. WHAT WE'RE LOOKING FOR - Experience supporting developer-facing products as a Software Engineer, Customer Engineer, Developer Success Engineer, Technical Account Manager, or similar customer facing technical role. - Can write, debug, and reason through Python and/or TypeScript codebases. - Are comfortable learning and reasoning about APIs, SDKs, and developer tools quickly. - Take personal ownership of technical problems and follow through until customers are unblocked. - Communicate clearly, empathetically, and effectively — especially when explaining complex or confusing issues. - Are insatiably curious about use cases for LLMs and excited to support tools that make AI more measurable, reliable, and trustworthy. BONUS POINTS FOR - Experience supporting developer tools, ML infrastructure, or observability platforms. - Familiarity with OpenAI, Anthropic, or similar LLM APIs. - Comfort working with datasets, evaluation metrics, or prompt engineering. - Experience contributing to support tooling, documentation, or product-led growth initiatives. - Have been a senior technical team member or tech lead in a high-growth environment, taking ownership of ambiguous technical scenarios. - Have submitted PRs to production codebases to fix customer-impacting issues in backend services, SDKs, or infrastructure. - Hold cloud certifications or equivalent experience troubleshooting containerized environments (e.g., Terraform, Kubernetes). WHY JOIN BRAINTRUST - Build a culture of care, learning, and mutual support together - Solve challenging, unknown technical issues faced by developers - Pave the way for future developers and peers to benefit from your experience BENEFITS INCLUDE - Medical, dental, and vision insurance - Daily lunch, snacks, and beverages - Flexible time off - Competitive salary and equity - Wifi & cellphone stipend EQUAL OPPORTUNITY Braintrust is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Developer Support Engineer (London)
ABOUT THE COMPANY Braintrust is the agent observability platform. By actively applying intelligence to agent traces and automatically surfacing the most critical patterns, Braintrust gives teams the visibility to understand how agents behave in production and the tools to improve them. Teams at Notion, Stripe, Box, OpenAI, and Cloudflare use Braintrust to trace their agents, find the issues in their observability data, and run evals that tell them how to improve. ABOUT THE ROLE At Braintrust, surprisingly good developer support is one of our most important strategic advantages. Our customers are developers building LLM-powered applications, and they move fast. We win by helping them move faster. We’re looking for Developer Support Engineers — both mid-level and senior — who are obsessed with helping developers overcome challenging technical blockers to achieve their goals. You’ll troubleshoot issues, identify workarounds, ship fixes, and document your findings to help future developers move faster. This role blends technical problem solving, developer empathy, and tight collaboration with Engineering, Solutions, and Product. If you love solving complex problems, explaining technical concepts clearly, and making developers’ lives easier, we’d love to talk with you. This role will be remote based in London. WHAT YOU’LL DO - Diagnose, troubleshoot, and resolve API and SDK use issues alongside customers codebases (Python or TypeScript). - Reproduce customer-reported bugs, identify likely causes in our codebase, and collaborate with Engineering to resolve them. - Own support communications with developers using Braintrust — primarily via Slack and email — and build trust through clear, technical, and empathetic communication. - Write and maintain knowledge base documentation that turns unknowns into knowns, unblocking future developers. - Identify opportunities to improve the developer experience, including tools, documentation, and support workflows. - Write scripts, fix bugs, and contribute to internal tooling that enhances the support process. - Capture and relay customer feedback to Product and Engineering, helping shape roadmap priorities. - Participate in on-call rotations, responding to critical customer issues or providing coverage during local holidays. - Provide technical mentorship to cross functional peers and guide support processes and escalation handling. - Develop and champion opinionated stances on improving developer experience and product reliability. WHAT WE'RE LOOKING FOR - Experience supporting developer-facing products as a Software Engineer, Customer Engineer, Developer Success Engineer, Technical Account Manager, or similar customer facing technical role. - Can write, debug, and reason through Python and/or TypeScript codebases. - Are comfortable learning and reasoning about APIs, SDKs, and developer tools quickly. - Take personal ownership of technical problems and follow through until customers are unblocked. - Communicate clearly, empathetically, and effectively — especially when explaining complex or confusing issues. - Are insatiably curious about use cases for LLMs and excited to support tools that make AI more measurable, reliable, and trustworthy. BONUS POINTS FOR - Experience supporting developer tools, ML infrastructure, or observability platforms. - Familiarity with OpenAI, Anthropic, or similar LLM APIs. - Comfort working with datasets, evaluation metrics, or prompt engineering. - Experience contributing to support tooling, documentation, or product-led growth initiatives. - Have been a senior technical team member or tech lead in a high-growth environment, taking ownership of ambiguous technical scenarios. - Have submitted PRs to production codebases to fix customer-impacting issues in backend services, SDKs, or infrastructure. - Hold cloud certifications or equivalent experience troubleshooting containerized environments (e.g., Terraform, Kubernetes). WHY JOIN BRAINTRUST - Build a culture of care, learning, and mutual support together - Solve challenging, unknown technical issues faced by developers - Pave the way for future developers and peers to benefit from your experience BENEFITS INCLUDE - Medical, dental, and vision insurance - Daily lunch, snacks, and beverages - Flexible time off - Competitive salary and equity - Wifi & cellphone stipend EQUAL OPPORTUNITY Braintrust is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Senior Account Executive
THIS ROLE CAN BE OFFICE-BASED IN FREIBURG, GERMANY 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 Our models are already seeing strong inbound demand, and we’re expanding our commercial team to accelerate adoption across enterprise and strategic partners. We’re looking for someone who can translate deep technical interest into durable, long-term partnerships especially across complex, non-standard engagements involving APIs, on-prem deployments, and custom licensing. This role owns the end-to-end commercial journey, working closely with research, engineering, and leadership to help customers move confidently from evaluation to production. WHAT YOU’LL WORK ON - Own the full sales cycle from discovery through close and expansion across startups, scaleups, and enterprises - Run complex, multi-stakeholder deals involving technical buyers, executives, and legal teams - Design and execute sales motions across APIs, on-prem deployments, and custom licensing - Build durable customer relationships that drive retention and long-term expansion - Partner closely with solutions engineering, forward-deployed engineers, product, research, and legal on bespoke deals - Translate customer needs and market signals into actionable feedback for product and research - Help define early commercial processes, playbooks, and qualification frameworks as we scale WHAT WE’RE LOOKING FOR You’ve closed real, technically complex B2B deals and know how to operate without a playbook. You bring strong judgment navigating long sales cycles, highly competitive environments with ambiguous requirements, and evolving products, and you’re comfortable working cross-functionally to get deals done the right way, not just quickly. You'll likely have: - Experience selling technical products to tech executives, ML teams, and enterprise stakeholders - Ability to discuss model capabilities, inference requirements, and integration tradeoffs with technical buyers - Proven success managing long, multi-stakeholder sales cycles and closing strategic landmark deals - Strong negotiation skills across pricing, licensing, and custom commercial terms - Track record building and scaling pipelines across different deal sizes and customer types - Comfort shaping process and structure in fast-moving, early-stage environments 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 €150,000 - €185,000 + variable + equity US $180,000 - $210,000 USD + 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.
Software Engineer - Observability
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 Observability team within the Infrastructure organization. As an early member of the Observability Team, you will be pivotal in building and shaping the observability experience for our internal and external customers. By joining this team, you’ll have a direct impact on the reliability and operational excellence of Baseten's product systems. As Baseten scales its infrastructure across different cloud providers and diverse hardware, the volume and complexity of operational data is growing by orders of magnitude. This team is responsible for building high-throughput ingest pipelines, cost-efficient storage, and agentic diagnostic tools to ensure that we can detect, diagnose, and resolve issues in minutes rather than hours, even as the systems they operate become more complex. RESPONSIBILITIES - Design and build scalable telemetry ingest and storage pipelines for metrics, logs, and traces across Baseten’s multi-cloud infrastructure - Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth - Build instrumentation libraries, SDKs, and integrations that make it easy for engineering teams to emit high-quality telemetry from their services - Drive alerting and SLO infrastructure that enables teams to define, monitor, and respond to reliability targets with minimal noise - Partner with Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization REQUIREMENTS - Have deep experience with at least one observability signal area (metrics, logging, tracing, or error analytics) and familiarity with the others - Understand high-throughput data pipelines, columnar storage engines, and the tradeoffs involved in ingesting and querying telemetry data at scale - Have experience operating or building on top of observability platforms such as Prometheus, Grafana, ClickHouse, OpenTelemetry, or similar systems - Have strong proficiency in at least one of Python, Rust, or Go - Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities - Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting - 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).
Software Engineer - GPU Networking & Distributed S...
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 At Baseten, we are building the global operating system for distributed, heterogeneous AI hardware. We believe that as LLM and multi-modal workloads scale, the network is the computer. We are looking for foundational engineers to lead our GPU Networking efforts, making RDMA a first-class building block in our infrastructure and unlocking the next generation of distributed inference optimizations. Networking and compute are no longer separate disciplines; they are converging. The massive throughput of H100, B200, and NVL72 architectures enables and demands a new approach where communication is co-optimized alongside computation. We are entering an era where the network is an active accelerator, leveraging smart hardware offloads and direct interconnects to ensure that data movement operates at wire-speed. In this role, you will go beyond network configuration to architect the software fabric that unifies thousands of GPUs into a cohesive operating system. While you will leverage the best of the open-source ecosystem, you won't be limited by it. Where off-the-shelf solutions stop, you will build from scratch, engineering the primitives required to co-optimize communication and compute for Disaggregated Serving, Wide Expert Parallelism (WideEP), and lightening cold starts. RESPONSIBILITIES - Make RDMA First-Class: You will work on integrating RDMA/RoCE/InfiniBand capabilities directly into our inference stack, helping us move beyond TCP/IP to unlock order-of-magnitude improvements in bandwidth and latency. - Optimize Distributed Inference: You will implement and tune the networking layers necessary for efficient Disaggregated KV Cache Offload and WideEP, ensuring seamless communication across NVLink and InfiniBand for our MoE models. - Enable Serverless-Grade Startup Speeds for LLMs: You will work deeply with checkpointing and storage mechanisms to enable sub-10-second startup for trillion-parameter models. - Deep-Dive into Hardware: You will characterize and validate networking performance on bleeding-edge clusters (H100/H200, B200/B300, GB200/300 NVL72), writing the acceptance tests that ensure our hardware delivers peak achievable throughput and minimal latency. - Build Observability: You will design the tools that let us visualize packet flow, congestion, and effective bandwidth across the GPU interconnects, helping us diagnose complex distributed system behaviors. - Optimize Kernels: You will work with communication libraries (NCCL, NVSHMEM) and potentially write custom communication kernels to overlap compute and data transfer. REQUIREMENTS - You have deep experience with high-performance networking protocols (InfiniBand, RoCE v2) and understand the physics of data movement. - You are fluent in C++ or Python, with the ability to bridge the gap between high-level logic and hardware. You have a deep understanding of the memory hierarchy in modern NVIDIA architectures (H100/Blackwell) and know how to optimize for it. - You like going deep. You aren't afraid to dive into TensorRT-LLM source code, write custom C++ / Python bindings, or debug NVLink topology issues. - You know when to use an off-the-shelf solution and when we need to build a custom solution because the upstream tools (like standard Kubernetes networking) are too slow for our needs. NICE TO HAVE - Deep knowledge of NCCL, NVSHMEM, and UCX. - Experience with Rust for systems-level or performance-critical networking code is a strong plus - Experience with GPUDirect Storage (GDS) or high-performance filesystems like Weka or 3FS. - Familiarity with TensorRT-LLM, vLLM, or SGLang. - Experience running low-level benchmarks to "qualify" new hardware clusters. THE TEAM - Bleeding Edge Hardware: We are preparing to bring Blackwell (B200/B300) and then Rubin architectures online. You will be one of the first engineers in the industry optimizing networking for NVL72/GB300 racks. - We go deep: We operate at every depth. Whether it’s tuning hardware interconnects, writing custom communication kernels, or designing distributed inference strategies, we work across the entire stack to deliver performance that goes far and beyond. - High Impact: The networking optimizations you build will directly enable features that no one else in the industry has fully mastered yet, like seamless multi-node WideEP and instant model hydration. 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 - GPU Kernels
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 seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state-of-the-art machine learning models. As a GPU Kernel Engineer, you'll craft the foundation that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications. You'll work in a fast-paced, intellectually stimulating environment where technical excellence is paramount and your contributions directly influence production systems serving millions of users across numerous products. This role offers exceptional growth potential for engineers passionate about low-level optimization and high-impact systems work. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Model Performance team: - Baseten Embeddings Inference: The fastest embeddings solution available https://www.baseten.co/blog/introducing-baseten-embeddings-inference-bei/ - The Baseten Inference Stack https://www.baseten.co/resources/guide/the-baseten-inference-stack/ - Driving model performance optimization https://www.baseten.co/blog/driving-model-performance-optimization-2024-highlights/ RESPONSIBILITIES Core Engineering Responsibilities - Design and implement high-performance GPU kernels for key ML operations, including matrix multiplications, attention mechanisms, and mixture-of-experts routing - Write and optimize code using CUDA, PTX assembly, and architecture-specific techniques - Apply advanced performance optimization methods such as memory coalescing, warp-level programming, tensor core acceleration, and compute/memory overlap Performance & Innovation - Implement cutting-edge features like quantization (FP8/FP4), sparsity, and compute/communication overlap - Identify and resolve performance bottlenecks using tools like Nsight Systems, Nsight Compute, and Torch Profiler - Collaborate with research teams to productionize theoretical advancements Impact & Collaboration - Contribute to internal and open-source GPU libraries - Present technical contributions at industry conferences (e.g., NVIDIA GTC, AWS re:Invent) REQUIREMENTS - Strong understanding of GPU architecture and programming paradigms: - Memory hierarchy (global, shared, registers, L1/L2 cache) - Thread/block/grid organization - Synchronization techniques and race condition mitigation - Proficient in C++ and GPU performance profiling tools - Knowledge of: - CUDA C++ API - Memory access patterns and bandwidth optimization - Numerical precision and quantization strategies - Modern GPU features (e.g., tensor cores, async operations) NICE TO HAVE - Experience with Transformer models and attention optimization (e.g., Flash Attention) - Familiarity with GPU kernel libraries: Cutlass, Triton, Thrust, CUB - Background in GEMM tuning and distributed/multi-GPU compute - Contributions to open-source GPU projects - Research publications or conference presentations on GPU performance 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 - AI Native
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 a Sales Manager to help lead a team of Account Executives within our AI Native segment. This hire will be responsible for building and coaching a team of high-performing sales reps, driving revenue growth, and partnering closely with product and engineering to bring our cutting-edge AI infrastructure to customers. RESPONSIBILITIES - Lead and mentor a team of AI Native Account Executives to consistently exceed pipeline and revenue goals. - Help define and execution on go-to-market strategy for our fastest growing customer segment. - Hire and scale the team by recruiting, interviewing, and onboarding top talent - Collaborate cross-functionally with Marketing, Product, and Engineering to align customer needs with Baseten’s product roadmap. - Be deeply engaged with the product, enabling reps to have highly technical conversations with prospects and customers. - Foster a culture of accountability, learning, and collaboration within the sales team. REQUIREMENTS - 4+ years of closing sales experience, with 2+ years in management leading high-performing teams. - Strong technical acumen, ideally with background in AI infrastructure, cloud infrastructure, or developer platforms. - Comfortable operating in the weeds with technical products and guiding reps through complex deals. - Proven track record of success in high velocity sales environments. - Based in San Francisco or New York City and open to coming in office at least 3 days per week (Tuesday-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).
Product Manager, Developer Experience
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 Product at Baseten is a nascent function. Our company today has a strong engineering culture, is heavily customer obsessed, and moves fast. We're building the product function now, and you'd be one of the first people who will help define it. You'll work directly with our founders and with some of the best systems and infrastructure engineers in the world, and you'll set the standard for building great AI infrastructure. PMs at Baseten don't sit above engineers. You earn ownership by being technical, finding the truth in front of customers, building great cross-functional relationships, and shipping great product experiences. Getting a model into production still takes real expertise: choosing a serving engine, sizing hardware, tuning it, wiring it into an app. We want a developer to go from "it runs on my laptop" to "it's serving production traffic" in minutes, on their own. You'll own the entire experience a developer touches to deploy and iterate: the CLI and SDKs, the console, onboarding, model discovery, deployment configuration, Truss, and the increasingly agent-driven ways developers build. Your job is to make Baseten synonymous with great DevEx and make it effortless for far more developers to self-serve deploy models on Baseten than can today. This role fits someone who gets technical by instinct and does whatever it takes to ship for customers, not only strategy, UX, or docs. You'll define the design system and the patterns from scratch rather than work inside ones someone else built, and you're obsessed with improving your product craft with AI. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Product and Engineering teams: - Building multi-component AI workflows at scale with Chains https://www.baseten.co/blog/baseten-chains-explained/ - Announcing Baseten for Model Labs https://www.baseten.co/blog/announcing-baseten-for-model-labs/ - Introducing canary deployments on Baseten https://www.baseten.co/blog/canary-deployments-on-baseten/ RESPONSIBILITIES - Collapse time to production, taking a developer from first sign-up to a running, maintained production deployment and driving down the time it takes to get there. - Make the CLI and SDKs the primary way developers and their AI agents build on Baseten, converging the authoring surfaces (CLI, console, Truss, config.yml, model.py http://model.py, chains.py http://chains.py) into one coherent path. - Make a developer's first run effortless across onboarding, model discovery and deploy via the Model Library, and a first deploy where errors surface clearly and builds show progress. - Own the deployment lifecycle that lets teams ship safely, including environment promotion from dev to staging to prod, version history, an artifact and model registry, reproducible deployments, and the progressive delivery controls developers set and read: canary, shadow, A/B, scheduled promotion, and one-gesture rollback. - Define how developers compose multi-model apps through Chains and the DevEx for developers building multi-modal agents and applications. - Grow self-serve deployment across FDEs and customers by living in customer conversations and turning deploy-and-operate friction into roadmap, so work that needs an FDE today becomes something a developer does alone. REQUIREMENTS - 5+ years building developer-facing or technical products, as a product manager or as a product-minded engineer. - Built dev tools as an engineer before becoming a PM, shipping SDKs, CLIs, APIs, or platform surfaces with your own hands. - Proof of dev tooling and dev products you've shipped and take pride in. - Genuine taste for developer experience across both local (CLI) and UI, with a specific example of where you made something complex feel simple. - Strong opinions on CLI, API-first, and agent-first design, treating the coding agent as a first-class user rather than a feature. - Technical enough to earn engineers' trust and reason about what's under the hood, because you've been under it. - A rigorous researcher who lets customer reality drive the call, and a relentless shipper NICE TO HAVE - Experience with ML infrastructure, developer tools, or API products. - You've deployed and served models yourself. 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).
Marketing Technology & Operations 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 Marketing Technology & Operations Lead who can own and harden the systems layer of Baseten's Marketing engine. Marketing at Baseten is scaling fast — more spend, more campaigns, more model launches, more inbound. The systems underneath (Our ESP, CRMs, forms, tracking, routing, alerting) need an owner who treats them like production infrastructure that cannot go down. When something breaks, it costs us time, pipeline, and trust in the data. This role exists so it doesn't break. You’ll simultaneously build for the future and re-think assumptions about our tech stack in the age of agents. This is an offensive play that gives the rest of the team leverage and superpowers to hit our ambitious goals. This is NOT an IT or service role. This is a core member of the marketing team who implements technology to achieve outcomes. RESPONSIBILITIES - Own the marketing tech stack end-to-end: ad platforms, email systems, tracking, pixels, forms, connectors. - Build defense-in-depth on inbound: spam/bot protection, rate limiting, email/domain validation, sync gating — and the alerting to catch anomalies before they hit sales or leadership dashboards. - Enforce data integrity: UTM governance, campaign membership, lifecycle stages, lead scoring and routing logic, field-level hygiene, canonical metric definitions. - Operationalize the web request pipeline with our dev agency: structured briefs, tickets, SLAs, and launch-day runbooks instead of ad-hoc Slack threads. - Systematize the request intake for marketing ops work — triage, prioritize, automate the repeat offenders instead of hand-servicing them forever. - Partner with RevOps, Data, and Sales to close workflow gaps where revenue data leaks (program tracking, Slack-only approvals, contact-vs-opportunity data). - Build or implement custom solutions as the need arises be they net new capabilities or AI-powered workflows. - Implement your vision for the marketing stack of the future, with a clear POV and roadmap on how to achieve it. REQUIREMENTS - 6+ years in marketing operations at a B2B SaaS or developer-tooling company - Deep, hands-on expertise in MAPs AND Salesforce — field mapping, sync governance, workflows, campaign objects; certifications a plus - Has personally built lead scoring, routing, lifecycle stages, and attribution infrastructure — not just operated someone else's - Has lived through (and fixed) messy data: dedupes, backfills, spam attacks, tracking outages; knows prevention beats cleanup - Comfortable with tag management (GTM), webhooks, APIs, and light scripting/automation (n8n, Zapier, Python, or AI-agent tooling) - Thinks in systems and failure modes: asks "what happens when this breaks at 2am on a launch weekend?" - Familiarity with email infrastructure and deliverability - Obsessive QA instinct — the type who catches the broken UTM before the campaign goes live - Strong stakeholder management across Marketing, Sales, Finance, Data, Design, and external agencies - Moves fast without breaking the data; documents everything 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).
Marketing Analytics 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 Marketing Analytics Manager to establish how Marketing at Baseten makes decisions with data. Marketing at Baseten is scaling fast: more spend, more campaigns, more model launches and more inbound. This is a foundational, hands-on role and the first dedicated Marketing Analytics hire. You'll work directly with Demand Gen, Field Marketing, MOps and Product Marketing alongside GTM, Finance, Product and Engineering to stitch together activities and outcomes across the funnel. You'll build the data models that connect acquisition, engagement, activation, product usage and revenue. You’ll design dashboards, tools, semantic layers and plugins that enable teams to answer questions. Along the way, you’ll develop an understanding of how customers use Baseten and with this, define how our systems and product can improve. RESPONSIBILITIES - Define how Marketing success is measured: establish metrics across audience growth, acquisition, activation, engagement, usage, pipeline and revenue. - Build the marketing data foundation: ingest and model data across Salesforce, HubSpot, Google Analytics, advertising platforms, web, email, product and third-party sources. - Create a medallion architecture that connects the prospect and customer journeys across systems, from first touch through signup, onboarding, activation and expansion. - Understand our audiences: develop audience and segmentation frameworks based on customer attributes, intent, engagement and product behavior. - Own lifecycle marketing analytics: measure performance across web, email, in product and other lifecycle touchpoints. Identify opportunities to improve the journey from acquisition and signup through onboarding and growth. - Measure awareness and channel impact: establish practical frameworks for understanding brand, awareness and channel effectiveness using audience signals, engagement and downstream product behavior. - Improve marketing activation and optimization: connect high-quality conversion and customer signals back into platforms such as Google Ads and LinkedIn, including offline conversions. - Architect the building blocks that turn data into action: design and implement A/B experiments, incrementality testing and multi-touch attribution. REQUIREMENTS - 5+ years of experience in marketing analytics, growth analytics, product analytics, data science, or another quantitative role, ideally supporting B2B, developer-focused, API, or usage-based products. - Deep SQL fluency and strong analytical skills, with a track record of working with large, event-level datasets and turning ambiguous business questions into decision-ready analysis. - Ability to connect data across marketing, CRM, web, SEO/AEO and product systems to understand customer journeys. - Experience with paid ad platforms such as Google, LinkedIn and X; how to measure performance and optimize. - Hands-on with GTM and marketing systems such as Salesforce, HubSpot, and Google Analytics. - Experience building data pipelines and models with a modern data stack such as Airbyte, Fivetran, dbt, BigQuery and/or Databricks. - Comfort working with APIs, automation and integration tools such as n8n or Zapier. PREFERRED QUALIFICATIONS - Experience with AI/ML products and familiarity with inference and training metrics, including how technical product usage can inform customer lifecycle measurement and customer value. - Experience with usage-based products, developer platforms or APIs. - Experience developing multi-touch attribution, incrementality measurement, media mix models or other approaches for understanding Marketing's contribution across a complex customer journey. - Experience implementing offline conversion pipelines or feeding first-party conversion and customer signals into advertising 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).
GTM 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 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. Our GTM Engineering team plays a critical role in building and maintaining the connective tissue across Baseten’s GTM tools, processes, and user experience for the field. The GTM tooling landscape is changing fast, and the teams that win are the ones that adapt and iterate the fastest. This role exists to make sure Baseten is one of them. You'll design, build, and ship AI-powered workflows that scale our GTM functions as a competitive advantage. We want someone who can walk in, audit what we have, identify what we're missing, and start shipping fast. You know when to reach for Clay and when to build something custom in Claude Code. You think two to three steps ahead about how the thing you build today fits into the broader systems architecture tomorrow. And you bring a point of view — on our stack, on what we should be building, and on where AI can do something low-code tooling simply can't. RESPONSIBILITIES - Ship AI-powered workflows for the field — build the agents and automations that give reps and managers real leverage, off-loading the manual and repetitive work. Reach for AI where it does something low-code can't. - Get insights in front of reps — turn Salesforce, warehouse, and usage data into the dashboards, scores, and alerts reps actually act on. A build isn't done until the field is using it. - Audit the stack and generate your own backlog — we have a lot of tools, some overlap, and real gaps. Walk in with a point of view, identify what's missing or broken, and prioritize without waiting to be handed a roadmap. - Ship rep-productivity workflows fast — triage asks from the field, find the low-hanging fruit, and build it. A good week looks like a VP of Sales asking for something Monday and having it live by Wednesday. - Know when to go custom — not everything belongs in a point-and-click tool. Spin up bespoke AI-powered solutions in Claude Code when the problem calls for it, and make that call with judgment, not default. - Think in systems, not solutions — every workflow you build has upstream and downstream implications. Anticipate them, design for them, and don't create technical debt that someone else has to unwind six months later. - Integrate third-party APIs to sync events and information across disparate systems — ensuring data flows reliably between the tools your team depends on every day. - Document what you build — if people can't find it, understand it, or trust it, it doesn't matter how well it works. REQUIREMENTS - 3+ years of experience in GTM Engineering, workflow automation, or a technical RevOps role — ideally at a high-growth, AI-native B2B company - You’ve shipped production agents on Vercel — build custom internal GTM apps and agents on Vercel, with durable workflows and sandboxed execution, so what you ship runs reliably in production instead of as one-off scripts - Genuine fluency with AI coding assistants and agent tooling (Claude Code, Cursor, Codex, or similar) — you're actively building with these tools in production, not just experimenting - Hands-on experience with Clay as a primary enrichment and workflow tool — you have opinions about how to use it well and you've pushed it to its limits - Direct experience with Salesforce — you know the data model, you've built on it, and you're comfortable owning CRM-level changes - A track record of owning end-to-end AI and automation workflows, not just contributing to or consuming them - Proficiency with integration and automation platforms (n8n, Zapier, Make, Workato, or similar) and a fundamental understanding of APIs and webhooks - Strong judgment on the build decision — you know when low-code gets you 80% of the way there and when it becomes the bottleneck, and you act accordingly - Experience in high-growth B2B technology companies NICE TO HAVE - Familiarity with enrichment and data-provider ecosystems beyond Clay - Comfort building reporting and alerting on a data warehouse (BigQuery, Databricks) and BI layer (Sigma, Hex) — not as a data engineer, but as a consumer and builder on top of the data layer - Experience building with agent platforms (Gumloop, n8n, Notion Agents, etc.) and/or agent frameworks (Vercel AI SDK, Claude Agent SDK, Mastra, etc.) - Experience with highly technical software sales cycles and complex GTM motions - An instinct for stack consolidation — you've inherited a messy tool environment before and helped bring it toward something more intentional without breaking what works - Systems thinker — you naturally break problems into composable parts, building solutions with separation of concerns so they're reusable, extensible, and easy to maintain - Comfortable with a little sprawl — you're not paralyzed by ambiguity or imperfect tooling. You know how to experiment, build fast, and clean up as you go - Challenging work and exposure to a variety of ML startups. 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).
Forward Deployed 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 Forward Deployed Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes. This role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations. To be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: - Forward Deployed Engineering on the frontier of AI https://www.baseten.co/blog/forward-deployed-engineering/ - The fastest, most accurate Whisper transcription https://www.baseten.co/blog/the-fastest-most-accurate-and-cost-efficient-whisper-transcription/ - Deploy production-ready model servers from Docker images https://www.baseten.co/blog/deploy-production-model-servers-from-docker-images/ - Deploy custom ComfyUI workflows as APIs https://www.baseten.co/blog/deploying-custom-comfyui-workflows-as-apis/ RESPONSIBILITIES - Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects. - Drive customer impact by designing, implementing, and deploying Baseten solutions end-to-end (problem framing → evaluation → production deployment → monitoring). This involves working with customers’ engineering teams at every stage of the customer journey including: sales, implementation, and expansion. - Deliver with velocity: turn vague objectives into clear specs and well-defined PoCs so we can rapidly ship well-tested services and outcomes for our customers - Optimize and enhance AI/ML projects, contributing to the continuous improvement of our technical stack. This includes developing features and PRDs with other engineering and product orgs. - Own products and customer projects end-to-end, functioning as both an engineer, project manager, and product manager, with a focus on user empathy, project specification, and end-to-end execution. - 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. - 2+ years of professional work experience in a fast-paced, high-growth environment. - Demonstrated experience with one or more general-purpose programming languages in a production-level environment, with a strong preference for Python. - Familiarity with AI/ML pipelines and the lifecycle of ML model development and deployment. - Strong communication skills, particularly on complex technical topics. - Experience in building or optimizing AI/ML projects is highly valued. 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).
Field Productivity & Enablement 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 The Field Productivity & Enablement Lead is responsible for making our sales motion clear, practical, and repeatable. This person will help define how we sell at Baseten: how managers run the business, how reps qualify and advance deals, how sales works with FDE, product, marketing, and support, and how those expectations get turned into training and day-to-day habits. This is a senior individual contributor role for someone who excels at both strategy and execution. You'll shape the system, but you won't stop at slides or frameworks. You'll build the playbooks, run the training, coach to the behaviors, and help managers ensure the process is followed consistently. We're not looking for someone who wants to force-fit a single methodology onto the business. We're looking for someone who is fluent in MEDDIC/MEDDPICC, Command of the Message, Challenger, and similar approaches, and can take the best ideas from each, adapt them to a technical sales motion, and build an approach that fits how Baseten actually sells. You'll report to the Head of Enablement and Productivity. Frontline managers and reps are your primary customers. RESPONSIBILITIES - Manage operating model. Define the core rhythms for frontline managers, including 1:1s, forecast calls, pipeline reviews, deal reviews, and coaching cadences. Create clear expectations for how managers inspect deals, coach reps, and drive consistency across the team. - Sales process and stage design. Partner with sales leadership and RevOps to define stages, exit criteria, qualification standards, and pipeline mechanics. Help turn the sales process into something managers and reps can actually use, and make sure CRM and tooling reinforce the process instead of creating workarounds. - Cross-functional engagement. Clarify how sales engages FDE, solutions architects, product, marketing, and customer support. Define the handoffs, decision points, and joint working models that help teams support customers without confusion or duplicated effort. - Methodology, skills, and training. Help codify the sales methodology and build the training behind it. Deliver enablement sessions, coach managers and reps, and raise the quality of qualification, deal progression, and account planning over time. - Behavior change and adoption. Make the work stick. Measure whether the process is being used, where managers or reps are getting stuck, and what needs to change to improve ramp time, pipeline quality, forecast accuracy, and win rates. REQUIREMENTS You know what good sales execution looks like and can translate that into a system other people can follow. You can move from diagnosing a broken forecast call, to redesigning a stage framework, to standing in front of a room and teaching managers how to run a better pipeline review. You bring credibility with sales leaders, managers, and reps because you've seen how strong sales teams operate and you know how to make process useful instead of bureaucratic. You are structured, practical, and comfortable driving change across functions. Strong candidates may come from a mix of backgrounds such as: - A former AE or sales leader who has carried a quota, managed teams, and later moved into enablement, strategy, or operations. - A sales enablement or sales effectiveness leader with strong experience in methodology, manager training, and curriculum design. - A RevOps or sales strategy professional with deep process rigor and a strong point of view on pipeline, qualification, and inspection. - A management consulting or sales transformation background with experience building operating models and driving adoption in fast-growing teams. 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).
Engineering Manager, Runtime Fabric
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 Container runtimes were designed for general-purpose software workloads. AI inference is not a general-purpose workload. Running large models at production scale exposes cracks in every layer of the container stack: runtimes unaware of GPU memory constraints, images that take minutes to pull when a model needs to scale to thousands of replicas, and isolation mechanisms that weren't designed for the multi-tenant serving environments that production AI requires. The tools the industry has relied on for a decade weren't built for this, and patching around those limitations at higher layers only goes so far. Baseten owns the entire pipeline, from the moment a developer pushes a model to the moment a request gets a response. That vertical ownership means we can fix these problems at the root. The Runtime Fabric team is doing exactly that: purpose-building the container runtime and storage layers for AI inference workloads, led by some of the world's top containerd maintainers. As Engineering Manager of the Runtime Fabric team, you will lead this work, setting technical direction, growing a world-class team of systems engineers, and ensuring the team's output shapes not just Baseten's infrastructure but the open-source container ecosystem at large. If you've contributed to containerd, runc, or related OCI projects and are ready to lead a team solving some of the hardest problems in infrastructure today, we'd love to talk. RESPONSIBILITIES Team Leadership & Culture - Recruit, hire, and develop a high-performing team of systems engineers with deep container and Linux expertise. - Foster a culture of technical rigor, open-source contribution, and continuous improvement. - Provide regular coaching, feedback, and career development support to your direct reports. - Partner with engineering leadership to define the long-term vision and roadmap for container runtime and storage infrastructure. Technical Direction - Guide the team in extending and hardening containerd, runc, and related OCI ecosystem projects to meet the GPU-specific requirements of production AI inference, including startup performance, GPU device access, and multi-tenant isolation. - Oversee the architecture and evolution of the Baseten Delivery Network: the tiered caching and weight delivery system that makes cold starts 2–3x faster and eliminates thundering herd failures during burst scaling events. - Drive the expansion of BDN's architecture, currently focused on model weights, to container images, training checkpoints, and deployment artifacts. - Provide technical oversight on GPU-aware isolation mechanisms for multi-tenant inference, including secure container runtimes, Linux namespace hardening, and longer-term micro-VM integration. - Ensure the team maintains end-to-end ownership of the container startup performance path, from snapshotter initialization through weight delivery to first inference request. - Champion the team's contributions back to the open-source containerd ecosystem alongside a team of core maintainers. Cross-Functional Partnership - Act as the primary advocate for Runtime Fabric across the organization, ensuring upstream and downstream teams have the integration support they need. - Collaborate with product and engineering stakeholders to prioritize investments based on business impact and infrastructure reliability. - Communicate team progress, technical trade-offs, and architectural decisions clearly to leadership. REQUIREMENTS - Proven experience managing and growing engineering teams in a systems, infrastructure, or low-level runtime context. - Deep familiarity with the Linux container ecosystem: containerd, runc, OCI Runtime Spec, Linux namespaces, and cgroups, with the ability to engage credibly in code reviews and architectural discussions. - Contributions to containerd/containerd, opencontainers/runc, google/gvisor, kata-containers/kata-containers, or closely related open-source projects. - Strong systems programming background in Go and/or C/C++. - Experience with distributed storage systems, content-addressable storage, or large-scale caching infrastructure. - Understanding of how container images are structured, stored, and delivered at scale. - Strong written and verbal communication skills, with the ability to influence without authority across teams. NICE TO HAVE - Experience with GPU device access in containers: NVIDIA Container Toolkit, CDI (Container Device Interface), or GPU-aware scheduling. - Familiarity with lazy-loading snapshotters (stargz, soci, EROFS/Nydus) or peer-to-peer image distribution. - Experience with secure container runtimes (gVisor, Sysbox) or micro-VM technologies (Firecracker, Cloud Hypervisor). - Understanding of containerd's shim API (v2) and experience building custom shim implementations. - Background in multi-tenant infrastructure or security-sensitive serving 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).
Base Labs Fellowship
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. ABOUT BASE LABS Base Labs is a research lab pushing the frontier of open-source LLMs. We think intelligence should be democratized, not controlled by a handful of closed labs and we think very few teams are actually positioned to do something about that. Backed by Baseten's training and inference infrastructure, we have the compute, resources, and talent to take on hard problems at the frontier and open-source what we learn along the way. Our mission is to help build a world where intelligence isn't concentrated, but spread across an ecosystem of models that anyone can build on. That mission shapes what we choose to work on, how we work on it, and who we want in the room. We are accepting applications on a rolling basis for our first cohort of Base Labs Fellows, which is expected to start in late September. Apply using this link. BASE LABS FELLOWSHIP OVERVIEW The Base Labs Fellowship is designed to give researchers exposure to what frontier research looks like in industry. We provide funding, mentorship, and full support to our fellows, with the goal of producing rigorous, published research that shapes both the open-source ecosystem and Baseten's technical roadmap. We run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in Sept 2026 and beyond. WHAT TO EXPECT - 3 months of full-time research from our San Francisco office - A dedicated 1:1 mentorship from a senior researcher - $15,000 Stipend (per 3-months) - Funding for compute and other research expenses - Opportunities to publish and present at top venues, including ICML, NeurIPS, and Grace Hopper - A clear path to a full-time offer for the strongest performers YOUR MENTORS Each fellow is matched 1:1 with one of three senior researchers. Potential mentors include: - Michael Psenka - Max Kirkby - Charles O’Neill Note: You're welcome to research mentors' prior work, but all applications must go through the official process below, not the mentors directly. WHO WE'RE LOOKING FOR A quick note on our view on talent. Many of the labs that exist today run a credentialist talent model. Concentrate the most already-legible researchers, and assume the concentration compounds. The best researchers in this field are very often not yet legible. Research engineers who have spent years inside a production stack and developed insights no PhD program teaches; PhDs working on the wrong-shaped problem at the right-shaped lab; operators who have been close to real systems long enough to see things traditional researchers have never had to see. If you don’t have the usual qualifications and are doing exceptional work, we’d love to chat. For the sake of providing some directional criteria for potential fits for this fellowship: - Are enrolled in or have recently completed a PhD in ML, AI, statistics, or a closely related field - Have a publication record or research portfolio that demonstrates original, rigorous thinking - Care about what your work is in service of - not just the problem, but why it matters - Want to operate with autonomy and don't need a defined roadmap to do your best work - Are excited to be in San Francisco for the duration of the program, fully embedded in the team - Are drawn to the idea of building a research culture, not just participating in one WHY BASE LABS? - 1:1 by design. Three fellows, three mentors. You will not get lost. - Real stakes. Your research feeds directly into decisions about what Baseten builds and what workloads it pursues. The line from your work to the product is short. - A founding moment. We are building Base Labs from scratch. The first cohort shapes what it becomes the culture, the research agenda, the brand. - Full support. Housing, meals, travel, and compute are all handled. We remove every barrier between you and the work. - A clear path forward. Top performers are considered for a full-time role. NOTE: The benefits listed below are only applicable to full-time hires. 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).
Senior GTM AI Engineer
Why AssemblyAI AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we’re looking for folks truly excited to join a small team and help define the future of the industry. We are one of the most capital-efficient AI companies on the planet - with under 100 people generating roughly $600K ARR per employee, we sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. That's not an accident; it's a deliberate choice to stay lean, move fast, and give every person on the team outsized ownership and impact. With thousands of customers including Granola, Fireflies, Figure AI, and CallRail, the company has real scale - processing over 2 million hours of audio daily and handling more than 1 million API calls every day. This is a rare growth-stage opportunity where the business is proven and the trajectory is steep, but the team is still small enough that your fingerprints are on everything. If you've ever felt buried under layers of bureaucracy, starved of real ownership, or frustrated watching your work disappear into a slow-moving org, AssemblyAI is built differently. The company operates as a true meritocracy, with no heavy planning or approval processes and no gatekeeping on the tools or information you need. For anyone who genuinely cares about voice AI, not as a trend to chase, but as a technology to build, this is the place where the most interesting problems at the most interesting scale are being solved by a team small enough that you'll actually know everyone's name. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. No matter your race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply! About the Role We're hiring our first Senior GTM AI Engineer . This is a software engineering job inside the revenue org. You will build the pipelines, internal tools, and agents that decide which companies we go after, how we reach them, and what our sellers see when they open their laptop in the morning. Most of what a sales ops team used to do by hand is now something you can write software to do. Finding every company building voice AI before they contact us. Researching an account and drafting the first email. Watching product usage and telling an AE when a customer is about to expand or churn. Keeping the CRM clean without anyone filling in forms. You will build those systems, run them in production, and be judged on whether pipeline and revenue move. Your users are our AEs, SDRs, and GTM leaders. Your job is to make a small team perform like one three times its size. What You'll Do - Write code every day. Python services, SQL models, scheduled jobs, and small internal apps are most of the job. You'll use Claude Code and similar tools to ship in days what used to take a quarter. - Build agents that do the work: account research, lead qualification, outreach drafting, CRM hygiene, and usage monitoring. Design them, give them tools and data, evaluate their output, and keep them running. - Turn product usage data in BigQuery and Looker into signals sellers act on: usage alerts, expansion triggers, and account health scores. - Build the account targeting machine: sourcing, enrichment, dedupe, and ICP scoring, from raw data to a ranked list in a rep's queue. - Integrate the systems the team already uses (our CRM, enrichment providers, outbound tools) so data moves between them without a human in the loop. - Keep funnel data trustworthy: routing rules, field governance, and attribution. - Prototype fast, measure what works, kill what doesn't, and work directly with Sales and Marketing leadership on what to build next. - Document what you build so it keeps running without you. What You'll Need - 4+ years as a software engineer, data engineer, or growth/GTM engineer, with time spent shipping systems that other people depend on. - Strong Python and SQL. You have owned production automations end to end: APIs, webhooks, scheduled jobs, retries, error handling, and monitoring. - Experience building with LLMs beyond a single prompt: multi-step agents, tool use, retrieval, and evaluation. You can tell whether an agent's output is good, and you know when a plain script is the better tool. - AI-assisted development is how you work. You use Claude Code or similar tools daily, and you have the engineering judgment to review, test, and stand behind what they produce. - Solid fundamentals: clean code, version control, code review, debugging, and a habit of thinking in systems. You do not need an engineering team to ship. - Curiosity about how a sales org works. You don't need a RevOps background, but you need to care about how deals get found and closed, and be willing to learn our CRM and the tools around it quickly. - A builder's mindset with an operator's judgment: you scope for business impact, ship iteratively, and measure results in pipeline and revenue. - Low ego, high ownership, and comfort being the single-threaded owner of an entire domain. Nice to Have - Hands-on Salesforce or other CRM work at the object and API level, or experience with enrichment and outbound tools like Clay. - dbt, BigQuery, and Looker, or an equivalent warehouse and BI stack. - Time at a developer-facing or API-first company, or selling to technical buyers. - You've been the first engineer in a sales or growth org and built the function from scratch. Pay Transparency: AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage, and industry, and are one part of many compensation, benefit, and other reward opportunities we provide. There are many factors that go into salary determinations, including relevant experience, skill level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. The provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range which will be communicated to candidates throughout the interview process. Salary range: $160,000 to $220,000 AI to Interview: If you’re selected for an interview, please review this resource to better understand how AssemblyAI approaches the use of AI in our interview process. GDPR privacy notice: Candidates from the EU should review this job applicant privacy notice before applying. Keep Exploring AssemblyAI: Speech-to-text | Streaming speech-to-text | Speech Understanding | LLM Gateway Try the Playground Our $50M Series C fundraise Check us out on YouTube!
Head of Sales, Digital Native
Why AssemblyAI AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we’re looking for folks truly excited to join a small team and help define the future of the industry. We are one of the most capital-efficient AI companies on the planet - with under 100 people generating roughly $600K ARR per employee, we sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. That's not an accident; it's a deliberate choice to stay lean, move fast, and give every person on the team outsized ownership and impact. With thousands of customers including Granola, Fireflies, Figure AI, and CallRail, the company has real scale - processing over 2 million hours of audio daily and handling more than 1 million API calls every day. This is a rare growth-stage opportunity where the business is proven and the trajectory is steep, but the team is still small enough that your fingerprints are on everything. If you've ever felt buried under layers of bureaucracy, starved of real ownership, or frustrated watching your work disappear into a slow-moving org, AssemblyAI is built differently. The company operates as a true meritocracy, with no heavy planning or approval processes and no gatekeeping on the tools or information you need. For anyone who genuinely cares about voice AI, not as a trend to chase, but as a technology to build, this is the place where the most interesting problems at the most interesting scale are being solved by a team small enough that you'll actually know everyone's name. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. No matter your race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply! About the role: We're looking for a Head of Sales, Digital Native to build and lead the sales organization covering the fastest-growing segment of our business: digital native and AI-native companies building on voice. Today this is a small, high-performing team selling into a targeted list of the best accounts building with voice. You will scale it into a multi-layer organization of Account Executives and the front-line managers who lead them, while growing revenue across AssemblyAI's Voice AI models, orchestration like our Voice Agent API, and LLM Gateway. This is a builder's role, not a caretaker's. You will own the hiring bar, the org design, the territory and target account model, the comp plans, and the operating cadence for the segment. You will personally recruit and develop the first wave of front-line managers, and you'll be accountable for making a scaling AE org productive fast - not just filling seats. You'll report to the VP of Customer Solutions and work in tight partnership with Applied AI Engineering, Forward Deployed Engineering, Marketing, Engineering, and Research. Our motion is technical, product-led, and evaluation-driven: customers choose us because we win benchmarks and ship the best customer experience. Your team's job is to get in front of the right builders early, build relationships, get them to run an evals, and convert wins into production usage that compounds. What You'll Do: - Build and lead the digital native sales organization - scaling from a small team of AEs and BDRs today to a larger sales org within the next year - Own the land number for the segment, focusing on bringing in net new customers and helping them scale up their usage in production - Hire, onboard, and develop front-line managers; establish the bar, the interview loop, and the ramp plan that make new AEs productive in weeks rather than quarters - Design the segment's coverage model - territories, target account tiers, and specialization across a large digital native account list where every company has a real production voice use case - Build the operating system for the team: forecasting, pipeline inspection, deal reviews, quota and comp design, and the metrics that tell you early whether the org is on track - Partner with Applied AI Engineering and Forward Deployed Engineering on the eval-to-production motion, so technical wins convert into deployed, growing usage - Work with Engineering, Research, and Marketing to shorten the time from product launch to real revenue - Drive an outbound-first culture where pipeline is created, not waited for, and where outreach earns replies through custom benchmarks, competitive insight, and use-case-specific demos - Represent the digital native voice of the customer to the leadership team and shape go-to-market strategy as new products launch What You'll Need: - 8+ years in technical sales with 4+ years leading sales teams, including experience managing managers - A track record of scaling a sales org through a step change in headcount - you have hired and ramped 10+ reps and built the management layer underneath you, not inherited it - Experience selling infrastructure, APIs, or developer platforms to engineering and product buyers; ideally in a usage-based or consumption pricing model - Fluency with a product-led, bottoms-up motion that layers a sales team on top of self-serve adoption without breaking what already works - Technical credibility - comfortable discussing API architectures, model accuracy tradeoffs, latency, and deployment options directly with engineers and CTOs - Demonstrated ability to design territories, quotas, and comp plans that drive the right behavior, and to run a forecast leadership can rely on - A recruiting instinct - you carry your own network, you close candidates, and you hold a high bar under pressure to fill seats - High urgency and comfort with ambiguity; this segment and its product lines are changing quickly and the playbook is being written as you scale - A willingness to travel to drive impact - expect to be on the road 50%+ of each month for customer visits, industry events, and team offsites Pay Transparency: AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity across our team. Our salary ranges are set to be competitive for our size, stage, and industry, and reflect just one component of the full compensation, benefits, and rewards we offer. Salary determinations consider a variety of factors, including relevant experience, technical depth, skills demonstrated during the interview process, and maintaining internal equity with peers on the team. The range shared below represents a general expectation for the posted position. However, we are open to considering candidates who may fall above or below the outlined experience level—in those cases, we will communicate any adjustments to the expected salary range. The range provided applies to candidates located in the United States . For candidates outside of the U.S., compensation ranges may differ; any adjustments will be communicated throughout the interview process. Compensation: $350,000–$450,000 in on-target earnings (OTE) The expected total compensation for this role is listed above (including base salary and commission). Our total compensation package includes competitive equity grants, 100% employer-paid benefits, and working alongside the team in our San Francisco or New York City office. A 401k match up to 4% is offered to all US-based full time team members. AI to Interview: If you’re selected for an interview, please review this resource to better understand how AssemblyAI approaches the use of AI in our interview process. GDPR privacy notice: Candidates from the EU should review this job applicant privacy notice before applying. Keep Exploring AssemblyAI: Speech-to-text | Streaming speech-to-text | Speech Understanding | LLM Gateway Try the Playground Our $50M Series C fundraise Check us out on YouTube!
Technical Lead Manager - Production Engineering
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better. JOB SUMMARY Apptronik's Production Engineering team owns the engineering last mile — turning humanoid subsystems into a fully functioning, field-ready system and commissioning it on site under a Factory Acceptance Test (FAT). We are seeking a Manager to build and lead this new organization: a hands-on technical leader who sets the bar for deployment, integration, and reliability while growing and directing a cross-disciplinary team of software support, site-reliability, and hardware-configuration engineers. Reporting to the head of Infrastructure Software and working closely with the org's Architect, you will own the delivery of robots to Robot Park and customer sites — beginning with Apptronik's first external deployments — and be the technical and operational anchor for the team as it scales. ESSENTIAL DUTIES AND RESPONSIBILITIES - Team Leadership: Build, lead, and grow the Production Engineering team — software support, site-reliability, and hardware-configuration engineers — setting priorities, mentoring, and owning execution and quality. - Last-Mile Ownership: Own the engineering last mile end to end — integrating subsystems into a working humanoid and driving it to acceptance under Factory Acceptance Test (FAT) at Robot Park and customer sites. - Deployment Delivery: Champion on-site deployment, bring-up, and commissioning for internal and external customers. - Reliability & Uptime: Establish the standards, tooling, and on-call practices that keep a growing fleet running under real-world field conditions. - Fleet Deployment & Observability: Own centralized deployment and rollout across the fleet — canary, staged, and cascading — and the observability and monitoring that make rollout a decision, not a guess. - Technical Direction: Set technical direction for provisioning, configuration management, networking, and fleet tooling, making architecture and prioritization calls in partnership with the org's Architect. - Cross-Functional Partnership: Partner with Commercial, Service & Support, and the PMO to align deployment schedules, site requirements, and hand-offs. - Process & Scale: Define lightweight, repeatable processes — sprint cadence, deployment playbooks, and FAT criteria — that scale as the team and customer base grow. SKILLS AND REQUIREMENTS - Proven technical leadership — leading engineers and owning delivery of complex, cross-disciplinary systems. - Deep hands-on experience deploying, integrating, and commissioning complex hardware/software systems in the field, ideally robots. - Strong systems breadth across Linux, networking (DDS/UDP/TCP), provisioning and configuration management (Ansible), and software (C++/Python). - Excellent communication and stakeholder management; able to represent the team to senior leadership and customers. - Sound judgment under pressure at customer facilities against demanding timelines and SLAs. - Willingness to travel to deployment sites, up to 25% during active deployments. - Formal people-management experience — hiring, developing, and directing a team. Bonus Qualifications: - Direct humanoid, manipulation, or teleoperation domain experience. - Experience standing up a new team or function from scratch. - Experience with ROS 2, containerization/CI-CD, and fleet-management tooling. - ML / MLOps in the field — model fine-tuning, post-training pipelines, or dispatching training jobs (VLA / embodied-AI workflows). - Warehouse and industrial systems integration (WMS / WES / MES / WCS). - Cloud infrastructure and fleet backend services. - Deep back-end experience — TypeScript and Kubernetes. - Deep front-end experience — React, CSS, and interface design. EDUCATION and/or EXPERIENCE - Bachelor's or Master's degree in Computer Science, Computer Engineering, Robotics, or equivalent experience. - 8+ years of software / robotics engineering experience, OR 4+ years of direct humanoid, manipulation, or teleoperation domain experience, including time in a lead or ownership role. - Demonstrated experience owning on-site deployment and commissioning of complex systems. - At least 2 years formal managerial experience leading or mentoring engineers and driving cross-team execution. PHYSICAL REQUIREMENTS - Prolonged periods of sitting at a desk and working on a computer - Must be able to lift 15 pounds at times - Vision to read printed materials and a computer screen - Hearing and speech to communicate *This is a direct hire. Please, no outside Agency solicitations. Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Technical Program Manager
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co http://applied.co. We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions ABOUT THE ROLE Applied Intuition is building Dana, the agentic platform for Physical AI, bringing the power of agents on top of a decade of tooling, infra and data expertise to accelerate the development of autonomy across every domain. Applied Intuition is looking for a Technical Program Manager passionate about building the agentic tooling platform that powers Physical AI. Our TPMs own roadmap execution through sharp cross-functional planning, clarity, and proactive risk management, acting with thoughtful urgency to drive decisions and outcomes. We partner with every function to deliver real-world deployments across domains (Cars, Trucks, Mining, and more), levels of autonomy (L2++ to L4), and geographies. This position will work cross-functionally with our Engineering, Design, Customer & Product teams. AT APPLIED INTUITION, YOU WILL: - Partner with Simulation teams to define and shape the long-term vision and strategy for Applied's Autonomy Tooling platforms - Drive the execution of programs that integrate simulation deeply into the ML development loop, establishing a seamless, reliable path for model training, offline evaluation, and validation - Lead complex, cross-functional programs to platformatize and scale critical simulation workflows for both internal and external customers, accelerating developer velocity - Own programs spanning multiple organizations, tracking progress and ensuring successful delivery of milestones, metrics, and final deliverables - Continuously engage customers to surface pain points, translate their workflows into product gaps, and inform future engagements - Navigate ambiguity and manage critical upstream/downstream dependencies across organizational boundaries, serving as a trusted technical partner to Engineering and Product WE'RE LOOKING FOR SOMEONE WHO HAS: - Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent hands-on experience - 3+ years steering technical programs within a software engineering or large-scale infrastructure environment - Background leading projects that touch autonomous system development, simulation techniques and data pipelines - A history of taking complex technical programs from start to finish, keeping timelines, risks, and dependencies aligned across many stakeholders - Sharp communication and interpersonal instincts, able to translate complex technical ideas for both research and infrastructure audiences NICE TO HAVE: - A solid technical foundation, ideally with hands-on software development under your belt - Prior work in Physical AI: - Simulation: Exposure to autonomous system simulation, log playback infrastructure, or closed-loop model validation - Data Management: Familiarity with large-scale dataset management, data validation frameworks, or unified data solutions - Developer Platforms: A background building or running developer tools and platforms that tame complex workflows - AV Domain Knowledge: Time spent in the autonomous vehicle or robotics space, with a feel for onboard/offboard dependencies - A front-row seat to startup hyper-growth, from Series A through IPO Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws. FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact careers@applied.co. We will work with you!
Solution Engineer - Tooling (Vehicle Intelligence)
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co http://applied.co. We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions ABOUT THE ROLE Applied Intuition’s Tools for Vehicle Intelligence (including the Applied Development Platform, also known as ADP) is the end-to-end platform for building and validating intelligent systems at petabyte scale. As a Solution Engineer on the Tooling pillar, you will work with ADAS and AD engineering teams at OEMs and Tier 1s to architect and build solutions with Applied’s simulation, data management, and CI/CD validation toolchain. The platform closes the loop between real-world data collection, scenario extraction, simulation, model training, and evaluation; giving automotive engineering teams the infrastructure to compound performance improvements over time. AT APPLIED INTUITION, YOU WILL: - Serve as the primary technical point of contact for customers evaluating Applied Intuition’s simulation and data management tooling - Lead demonstrations, proof-of-concept deployments, and integration workshops for the full toolchain - Support customers in integrating Applied’s platform into their ADAS/AD CI/CD pipelines (SIL, HIL, VIL stages) - Guide customers through the design of closed-loop data flywheels: data collection strategy, curation, labeling, scenario extraction, simulation replay, and evaluation - Help customers configure scenario-based testing and automated pass/fail metrics for their validation programs - Translate customer feedback into actionable product insights for the Applied engineering team - Manage technical workstreams and milestones across multi-stakeholder customer programs WE'RE LOOKING FOR SOMEONE WHO HAS: - 3+ years of experience in ADAS/AD development, validation, or simulation at an OEM, Tier 1, or technology company - Hands-on experience with software testing methodologies (unit, SIL, HIL, VIL) for automotive applications - Familiarity with CI/CD pipelines in an automotive or embedded software context - Understanding of sensor types used in ADAS (camera, lidar, radar, ultrasonic) and their data characteristics - Experience with data management pipelines: ingestion, curation, labeling, or scenario extraction - Degree in computer science, electrical engineering, robotics, or related field - Intermediate Programming experience in Python and/or C++ - Strong written and verbal communication skills in English; German and/or additional European language is a significant plus NICE TO HAVE: - Customer-facing experience and strong communication and presentation skills - Experience with a simulation platform (Applied Intuition, CARLA, IPG CarMaker, dSPACE SIMPHERA, VIRES VTD, or similar) - Familiarity with dSPACE, Vector, or NI toolchains for HIL/SIL test automation - Knowledge of ISO 8800, ISO 26262, ISO 21448, or ASPICE - Experience with ML/AI pipelines for model training or perception system evaluation - Background in fleet data operations, OTA, or post-SOP data-driven improvement loops Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting’s subtitle for where this position will be located. Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws. FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact careers@applied.co. We will work with you!
Software Engineer - Physical AI Security
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co http://applied.co. We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions ABOUT THE ROLE We're building a Physical AI security platform – a system powered by AI agents that supports in building secure Physical AI and Vehicle Intelligence platforms. It spans the full product lifecycle, and everything it produces has to hold up under external scrutiny. You'll be an early engineer on the team with real latitude over what gets built and how it gets done. AT APPLIED INTUITION, YOU WILL: - Build agentic security workflows to support threat modeling, cyber risk analysis, threat detection, and investigation capabilities on the platform - Build AI risk engines, intelligent intrusion detection engines, security testing engines, and security testing simulation engines which make up the physical AI security platform - Architect the agentless integration with web applications, AI agents, and devices under testing like software-defined vehicles and mining trucks - Deploy LLM-powered or agentic features to production using structured output, tool use, multi-step workflows, and human-in-the-loop review - Own full-stack development end-to-end from database schema design to frontend UI interfaces - Model complex, highly relational domains featuring versioned entities, traceability, and long-running asynchronous workflows with durable state. WE'RE LOOKING FOR SOMEONE WHO HAS: - B.S. in Computer Science or a related field, or equivalent practical experience with 5+ years building and shipping production software - Experience across the stack using TypeScript and React - Proficiency with a typed backend server language (Go, Rust, Python, or similar) owning features from schema to UI - Experience building information-dense interfaces for expert users, including large tables, live-updating views, structured authoring, and keyboard-driven navigation NICE TO HAVE: - Background in security engineering or building security web applications, tools, or a security platform - Experience in the cybersecurity domain as a software engineer Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: Compensation range not provided—request from comp team. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws. Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws. FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact careers@applied.co. We will work with you!
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