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Agent Deployment Engineer
About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Over the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require hands-on execution, rigorous iteration, and deep technical delivery to reach enterprise-grade performance. We’re creating an Agent Deployment Engineering Org: a specialized technical delivery team responsible for end-to-end execution of AI agent builds. Agent Deployment Engineers own the hands-on work required to deliver best-in-class agents—writing and configuring key components, validating integrations, and ensuring agents perform reliably at scale. This team brings greater specialization and focus to build quality. Agent Deployment Engineers are technical and customer-facing: you’ll interface with senior technical stakeholders on the customer side while also going deep on agent configuration and build execution. About the Role As an Agent Deployment Engineer, you will be responsible for end-to-end execution of AI agent builds for strategic customers. This is a highly technical delivery role where you will own the implementation work required to launch and scale enterprise-quality agents—partnering with customers and internal teams to define success, translate requirements into build plans, and deliver agents that meaningfully impact the customer’s business. You’ll work closely with Agent PMs, Agent Success, Engineering, and GTM teams to create tight feedback loops: executing builds, surfacing gaps, and influencing the evolution of Decagon’s agent-building platform based on real customer needs. This role is ideal for someone who thrives in fast-moving environments, enjoys shipping customer-facing technical work, and can balance hands-on execution with structured thinking. In this role, you will - Own end-to-end architecture and execution of AI agent builds for enterprise customers, from systems design and initial scoping through implementation, evaluation, and production deployment. - Design and engineer the core agentic logic governing agent behavior, applying engineering principles to optimize quality, reliability, and correctness across non-deterministic model outputs. - Engineer and validate layered guardrails and supervisory controls to ensure safe, compliant, and predictable agent performance across real-world scenarios. - Architect, build, and test integrations with customer systems (e.g., data pipelines, CRMs, ticketing systems), including building the tools, APIs, and workflows needed for reliable deployments at scale. - Interface with senior technical stakeholders at customers to define success criteria and system requirements, and drive technical delivery against timelines. - Diagnose, debug, and resolve both probabilistic and technical failures through root-cause analysis of execution traces, error logs, and model behavior. - Design evaluation and regression-testing frameworks to validate agent behavior against ground truth and guard against performance drift. - Translate customer needs into clear internal documentation and run tight feedback loops with Engineering to drive platform improvements. - Partner closely with APMs, Engineering, Design, and Go-To-Market teams to deliver consistent, repeatable, best-in-class agent builds. Your background looks something like this - Have 5+ years of relevant experience in a technical customer-facing role (e.g., solutions engineering, forward-deployed engineering, technical consulting, implementation engineering, technical product/PM, or similar). - Strong technical foundation: comfortable writing code, working with APIs, and building/validating integrations end-to-end. Experience delivering production-grade customer solutions that require structured execution, testing/validation, and iteration. - Ability to communicate clearly with senior technical stakeholders, translate requirements into implementation plans, and drive delivery. - Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them. Even better if you have - Experience building with or around LLMs / AI agents (prompting, evaluation, guardrails, tooling, workflow design, etc.). - Experience with enterprise SaaS integrations (e.g., ticketing systems, CRM, data pipelines) and associated security/compliance considerations. - A Computer Science, Engineering, or Math degree, or equivalent technical experience. - Strong product instinct: ability to write crisp PRDs, define success metrics, and contribute customer insight back into product roadmap. Compensation $175K – $230K • Offers Equity Benefits We proudly offer the following benefits for our full-time employees: - Medical, Dental, and Vision benefits for you and your family - Life Insurance and Disability Benefits - Retirement Plan (e.g., 401K, pension) - Parental Leave - Fertility and family building benefits through Carrot - Monthly stipend to support your wellness, lifestyle, and work-life balance - Daily lunches and snacks in the office to keep you at your best - Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave) These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.
Senior Data Scientist (German-speaking)
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog , LinkedIn , X , and YouTube . The role of a Data Scientist at Dataiku is unique. Our Data Scientists develop solutions to real-world problems and participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, providing user training, and co-developing data science projects from design to deployment. Just as non-technical skills are important, so are technical skills. Our Data Scientists work on the Dataiku platform daily. Aside from the visual tools, our team mostly uses Python, with occasional work in other languages (e.g., R, SQL, PySpark, JavaScript). An ideal candidate is excited to teach customers data science, how to use the Dataiku platform, and learn about new technologies. How you'll make an impact - Help users discover and master the Dataiku platform via user training, office hours, demos, and ongoing consultative support. - Analyse and investigate various data and machine learning applications across industries and use cases. - Provide strategic input to the customer and account teams to help our customers succeed. - Scope and co-develop production-level data science projects with our customers. - Mentor and help educate data scientists and other customer team members to aid in career development and growth. What you'll need to be successful - German language - native-level proficiency, English language - fluent/native-level proficiency - Curiosity and a desire to learn new technical skills - Empathy and an eagerness to share your knowledge with your colleagues, Dataiku’s customers, and the general public - Ability to clearly explain complex topics to technical as well as non-technical audiences - Over 5 years of experience with coding (Python, R, SQL) - Over 5 years of experience building ML models - Understanding underlying data systems and platform mechanics, such as Cloud architectures, K8S, Spark, and SQL What will make you stand out - Experience with Consulting and/or Customer-facing Data Science roles - Experience with Data Engineering or MLOps - Experience developing WebApps in JavaScript, RShiny, or Dash - Experience building APIs - Experience using enterprise data science tools - Passion for teaching or public speaking LI-JR1 L1-AH1 LI-Remote What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page . Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
Senior Data Scientist
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog , LinkedIn , X , and YouTube . Senior Data Scientist, Singapore At Dataiku, the Senior Data Scientist role is unlike a typical data science seat. You won't just build models - you'll embed directly with our customers, co-design AI solutions with them, and see your work through initial solution design workshops to production impact. You'll work across a portfolio of industries and use cases, acting as both the technical authority and the trusted advisor inside every account you touch. This is a role for someone who wants real ownership: end-to-end accountability for solution design, hands-on delivery, and a direct line of sight to business outcomes - not a narrow slice of a pipeline. Alongside the technical work, you'll shape how customers adopt and get value from the Dataiku platform, train their teams and advise their leadership. Just as the non-technical skills are important, so too are the technical: our Data Scientists work in the Dataiku platform every day, primarily in Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients alike. In this role, you will: - Design and co-develop production-grade AI projects with our customers across a wide range of industries and use cases - Enable users to discover and master the Dataiku platform through training sessions, office hours, workshops, and ongoing consultative support - Embed directly with client data, business and engineering teams, contributing to end-to-end solution architecture - from data integration and pipeline design through to production deployment - Make and defend key architecture trade-offs (native platform functions vs. custom code, batch vs. real-time), balancing client constraints, platform capabilities, and delivery timelines - Provide strategic guidance to customers and account teams to help drive adoption, value realization, and long-term success - Contribute to shaping solutions and building compelling proposals, including technical scoping and effort estimation - Help drive efficient customer engagements by coordinating sprints, prioritizing tasks, and estimating delivery effort You might be a great fit for this role if you have: - 8 years of experience in Advanced Analytics & AI, ideally in a consulting or customer-facing data science/AI solution engineering role - 5 years of hands-on experience with Python and SQL - 5 years of experience designing, building, and deploying production-grade AI & ML models - A track record of owning technical outcomes directly with customers - whether through consulting, professional services, or embedded delivery models - A strong curiosity and appetite for learning new topics, tools, and techniques - Empathy and collaboration skills, with a genuine eagerness to share your knowledge with colleagues, customers, and the wider community - The ability to communicate complex concepts clearly to both technical and non-technical audiences Technical skills that will help you succeed in this role: - Experience using Large Language Models (LLMs), Agents and Machine Learning to build innovative, real-world applications - Experience with data visualization, including building applications using frameworks such as Dash, Streamlit, RShiny or JavaScript - Experience consuming and/or building APIs - Experience with Data Engineering and MLOps practices - Familiarity with enterprise data science platforms and tools - Understanding of cloud architectures, as well as systems such as Hadoop or Kubernetes - A demonstrated passion for teaching, mentoring, or public speaking LI-FC1 What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page . Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
Data Scientist
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog , LinkedIn , X , and YouTube . The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment. Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team mostly uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques and to explain their work to other data scientists and clients. Key Areas of Responsibility (What You’ll Do) - Scope and co-develop production-level data science projects with our customers across different industries and use cases - Help users discover and master the Dataiku platform via user trainings, office hours, and ongoing consultative support - Provide strategic input to the customer and account teams to help our customers succeed - Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams - Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality Experience (What We’re Looking For): - Curiosity and a desire to learn new topics and skills - Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public - The ability to clearly explain complex topics to technical as well as non-technical audiences - Over 2 years of experience with Python and SQL - Over 2 years of experience with building ML models and using ML tools (e.g., sklearn) - Familiarity with data visualisation in Python and R - Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL Bonus points for any of these: - Experience with Consulting and/or Customer-facing Data Science roles - Experience with Data Engineering or MLOps - Experience developing WebApps in JavaScript, RShiny, or Dash - Experience building APIs - Experience using enterprise data science tools - Passion for teaching or public speaking What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page . Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
Staff Software Engineer, Agent Quality
Staff Software Engineer - Agent Quality P-1567 At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions. The Databricks AI Research organization is pushing the frontier of next-generation enterprise AI. We believe a company's data is its greatest competitive advantage, and we're building the models and agents that unlock it. Our work spans the full stack, from model training to advanced multi-agent systems. As a Staff Software Engineer - Agent Quality, you will be a founding member of a new team focused on evaluating and continuously improving Databricks' AI Agents. You will design and scale the infrastructure, tooling, and developer workflows that let researchers and engineers evaluate agents rigorously — driving a flywheel where evaluation results feed directly back into agent improvement across the full lifecycle, from development and training to production. The impact you will have - Stand up the foundational evaluation infrastructure for Genie Agents, enabling rigorous benchmarking, regression detection, and quality measurement across research and product teams. - Build the flywheel that connects evaluation results back into agent improvement — closing the loop between production signals, training, and iterative development. - Shape the long-term technical direction for agent quality infrastructure, with real influence over how Databricks measures and improves its first-party agents and agent development platform. - Help shape the long-term technical direction for agent quality infrastructure as Databricks expands its first-party agents and agent development platform. What we look for - 6+ years industry experience building software systems - Strong Python programming skills, with experience building production or research infrastructure - Experience building or operating distributed systems, data pipelines, or large-scale infrastructure with a focus on reliability, correctness, and operational maturity - Ability to design pragmatic but rigorous systems that produce trustworthy, reproducible signals for complex applications - Comfort working across ambiguous research and product boundaries, and partnering with both researchers and engineers to turn ideas into robust internal platforms - A high bar for technical quality, strong ownership, and the ability to influence roadmap and execution across multiple teams Nice to have - Experience with devtools, CI/CD platforms, testing frameworks, observability tooling, or benchmarking infrastructure - Familiarity with how LLM or agent quality is measured — whether through evals, experimentation platforms, or production monitoring Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $200,000 - $265,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Sr. Software Engineer - Ingestion Core team
Deeply understanding what’s in the enterprise data has been a challenge that Databricks has been addressing by providing analytics and machine learning tools. From data warehousing with Databricks SQL to large-scale distributed processing with Spark and advanced ML tools for experimentation and model serving, we empower our customers to gain insights and drive innovation. To enable all of this on Databricks, making data ingestion seamless is crucial. That’s the mission of the Ingestion Core Team: to make the ingestion of all data—structured and unstructured—simple, reliable, and efficient. Simplifying the complex is hard, and that’s where you come in. This role requires building distributed platform systems to incrementally ingest high-volume, petabyte-scale data from diverse sources—including cloud storage (SQS, ADLS, GCS), databases (Oracle, SQL Server, MySQL, Postgres), and file sources (Google Drive, SharePoint)—at high throughput and low cost. The data includes structured formats (JSON, Parquet, CSV) as well as unstructured data (text, images, docs, PPTs, and blobs), all of which land in Delta Lake with schema evolution and change data capture (CDC) capabilities. Join us in making data ingestion effortless and be part of the team that powers the future of AI + data at Databricks! As an engineer on the team, you will work on projects that: - Build distributed infrastructure to ingest data from diverse sources and support streaming ingestion, incremental processing, and replication. This isn’t just about building plugin connectors. - Reduce end-to-end latency, increase throughput, and reduce costs from the time data appears in source systems to when it is available in Delta Lake. - Design and optimize streaming and distributed workloads for throughput, cost, latency, reliability, and scale. - Optimize streaming workloads by exploring and applying ML techniques. - Build monitoring and observability capabilities (customer-facing and internal) that provide visibility into ingestion workflows and the systems running them. - Collaborate with partner teams to enable use cases like RAG and AI agents. - Build Agentic SDKs with strong evaluations. Ideal Engineer should have: - 5+ years of experience writing production code in one of: Java, Scala, Go, C++, or Python. - Experience architecting, developing, and deploying large-scale distributed and asynchronous systems. - Experience with distributed systems, streaming, Spark, databases, data processing, or CDC. - Experience building or operating systems where scale, throughput, latency, reliability, and cost are important considerations. - Comfortable using AI tools and defining effective evals to shorten the development loop. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $166,000 - $225,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Sr. Manager, Engineering - AI/BI
RDQ427R365 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. We are the “AI/BI” Dashboard team responsible for making Databricks the best product for business users to create, share and consume data insights. We own the entire product stack end-2-end: the Dashboard creation and consumption UI, the query and permissions layer, the control plane for the service, the consumption surface across web, mobile and Desktop as well as the distribution infrastructure across various channels (e-Mail, Mobile, Slack/Teams etc.). At every layer of our stack, we are leveraging AI to change how users interact with and leverage our product in completely new ways to find the answers they need quicker than ever before. We're seeking a dedicated Senior Engineering Manager who will help grow the AI/BI Dashboard product and service platform. This means tackling a number of challenging fullstack and backend problem spaces, for example making agentic dashboard authoring and AI insights fast and performant while maintaining high quality, enabling the creation and consumption of Dashboards and BI features across the entire Databricks platform and scaling our service to the next order of magnitude of users. This role also requires experience in applying AI and LLM technology directly into the product surface and guiding the team to strike a balance between pushing up quality while maintaining performance and cost. You will report directly to the Director of Engineering. The main responsibilities include: - You will lead multiple talented engineering teams of full stack/backend engineers and SMEs as well as managers focused on the above initiatives. - You will oversee sustained recruitment of top-tier IC talent and Managers, and developing talent across the teams. - You will build processes to implement product vision and strategy, according to organizational goals and priorities. - You will build software that is not just high quality, but easy to operate. - You will manage technical debt, including long-term technical architecture decisions, and balance product roadmap. What we look for: - Great at hiring and developing talent - Great at creating efficient processes that increase velocity and quality - 6+ years of experience in managing multiple teams that build and operate products and systems in a SaaS environment - 10+ years of experience with distributed systems and building products, platforms and services and best in class application experience which serve multiple product teams and customers - Have experience in scaling engineering teams from 15 to 35+ - Team player that will work with other departments (PM, CS) and engineering teams. - BS or higher in Computer Science, or a related field - Strong track record of attracting, hiring, and retaining top engineering talent - Experience managing distributed teams across multiple locations. - Adaptability and resilience in a fast-paced, rapidly evolving tech environment Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $228,600 - $314,250 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Sr. Manager, AI Forward Deployed Engineering
CSQ427R238 Sr. Manager, AI Forward Deployed Engineering (FDE) Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements that help customers build and productionize first-of-its-kind GenAI applications, and we work cross-functionally with AI Product, Research, and Engineering to shape long-term strategic priorities. We are looking for a world-class leader to lead and grow our AI FDE team in India. In this role, you will lead customers on their AI transformation with Databricks, push the boundaries of our product, recruit and develop top data scientists/machine learning engineers, and manage a portfolio of key accounts. Candidates should expect to travel at least once a month. You will report directly to our India FDE leader and dotted line to the APJ AI FDE leader. The ideal candidate is based out of Bangalore or Mumbai. Candidates should expect to travel at least once a month. The impact you will have: - Lead and scale a high-performing AI forward deployed engineering team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale - Shape cross-functional collaboration by influencing Product, R&D, and GTM, ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy - Develop and expand executive relationships with key customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations - Partner with Field Engineering and Sales leadership to set strategy for strategic accounts and coordinate delivery across functions - Lead strategic AI initiatives, practice development, and scalable delivery processes - Own OKRs for AI-services led accounts, revenue, utilization, and public references - Represent Databricks as a thought leader in AI through conference talks, published content, etc. What we look for: - Experience building and managing high-performing teams of AI/ML scientists, engineers, and leaders - Ability to scope, sell, and deliver technical engagements in enterprise environments, including managing escalations and ensuring successful customer outcomes - Strong, current technical depth in AI/ML foundations, with the ability to contribute meaningfully in architecture reviews and the curiosity to stay current as the field evolves - Experience leading teams that have shipped production AI solutions in cloud environments (AWS, Azure, or GCP) - Proven success developing strategy with senior executive stakeholders to define program-level goals, align technical vision, and build trust throughout complex enterprise engagements - Experience driving AI transformation across enterprise customers, spanning applied AI product management, organizational change management, and stakeholder alignment - Experience working across Sales, Product, and GTM to connect AI delivery to business outcomes - Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Preferred: - Experience in a customer-facing leadership role - Experience working with Databricks About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Senior Solutions Engineer (Manufacturing, Automoti...
Req ID: FEQ427R376 Location: London (or surrounding areas) The Role As a Senior Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage. The Impact You Will Have - Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, GenAI and machine learning - Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins - Own frontline technical relationships with customer engineers, data teams, and technical leads - Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption - Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations - Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community What We Look For - 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role - Proficient in Python and SQL with demonstrated ability to debug, optimise, and write production-quality code — live coding is a required interview stage - Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) - Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink) - Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews - Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics - Strong presentation and demo skills — you will build and present a live solution during the interview - Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) Nice to Have: - Databricks certification or experience with the Databricks Platform - Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow - Background at a data/AI company, cloud provider, or technical consulting firm Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Senior Solutions Engineer - Benelux Geo
Req ID: FEQ427R70 The Role As a Senior Solutions Engineer in the Benelux Geo team, you will lead technical engagements for high-growth potential customers, owning discovery, solution design, and platform demonstrations. We are looking for a talented engineer/architect who is excited to expand strategic partnerships and grow Databricks footprint with these customers! You are a builder who can code, architect, and present, combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage. The Impact You Will Have - Independently lead technical discovery and solution design for customer workloads spanning Data Engineering, Analytics, Machine Learning, and GenAI Engineering - Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins - Own frontline technical relationships with customer engineers, data teams, and technical leads - Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption - Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations - Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community What We Look For - Industry experience in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role (preference for 3+ years minimum) - Proficient in Python and SQL with demonstrated ability to debug, optimise, and write production-quality code — live/vibe coding is a required interview stage - Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) - Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink) - Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews - Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics - Strong presentation and demo skills — you will build and present a live solution during the interview - Bachelor's or Master's degree in Computer Science, Engineering, Information Management, Data Science or a quantitative discipline (or equivalent experience) Note: This will be an office-based contract (Amsterdam), with a hybrid schedule. The offer contract will be set for an initial 12-month fixed term, with the intention to extend upon successful completion of the probation period. LI-hybrid About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Senior Manager, AI Forward Deployed Engineering -...
REQ ID: CSQ128R7 Location: London, United Kingdom - Remote location for candidates to be based in the United Kingdom region ONLY ( not remote from any other country) Mission The Forward Deployed AI Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services (PS) engagements to help our customers build and productionize first-of-its-kind AI applications with a focus on GenAI. We work cross-functionally with AI/ML Product, Research, and Engineering to shape long-term strategic priorities and initiatives. We are looking for a world-class leader to lead and grow our UK AI FDE team. In this role, you will lead customers on their AI/ML transformation with Databricks, push the boundaries of our product, recruit and develop top data scientists/machine learning engineers, and manage a portfolio of key EMEA accounts. You will report directly to the Director AI FDE. The impact you will have: - Lead and scale a world-class AI/ML professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale - Develop and expand executive relationships with EMEA customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations - Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions - Lead strategic AI PS initiatives, practice development, and standardised delivery processes; design scalable engagement models and reusable solutions for repeatability across the global team - Shape cross-functional collaboration by influencing Product, R&D, and GTM—ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy - Own OKRs for AI-services led accounts, revenue, utilisation, and public references - Represent Databricks as a thought leader in AI/ML What we look for: - Extensive experience managing, hiring, and building a team of high-performing data scientists/ML engineers and leaders, with a track record of scaling organisations through developing scalable processes and cultivating leaders - Ability to scope, guide, and sell technical engagements, manage escalations, and ensure successful delivery in enterprise environments - Deep technical expertise in ML, GenAI, and data science, and curiosity to continue to stay up-to-date in this ever-changing field - Experience leading teams building cutting-edge production ML solutions in cloud environments (AWS, Azure, or GCP) - Proven success in developing a strategy with senior executive stakeholders to define program-level goals, align technical vision, and build trust throughout complex enterprise engagements - Demonstrated experience in cross-functional leadership roles, collaborating with Sales, Product, and GTM teams to drive business impact through AI/ML - “Company-first” mindset - Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Preferred: - Experience in a customer-facing consulting or professional services leadership role - Experience working with Databricks About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
SAP Technical Lead
GAQ126R43 About Databricks At Databricks, our mission is to help data teams solve the world's toughest problems—and that begins with empowering our own employees with exceptional internal products. The Databricks IT organization is a product-led engineering team building intelligent, AI-powered platforms that simplify how work gets done across the company. For Finance, our vision is to eliminate manual, repetitive work by automating complex business processes, surfacing actionable insights, and orchestrating end-to-end workflows. We are reimagining finance operations so teams spend less time processing transactions, chasing approvals, and resolving exceptions, and more time delivering strategic insights that accelerate the business. We're looking for an SAP Technical Lead to own the technical architecture and delivery of our SAP platform. In this role, you'll define the technical vision for a clean-core S/4HANA landscape, lead the engineers who build on it, and architect the intelligent, agentic AI layer that sits between SAP and the Databricks Data Intelligence Platform. You'll set the standards, make the hard build-versus-adopt calls, and ensure everything we ship is secure, performant, and built to scale. The Opportunity SAP will serve as the foundation for Databricks' core finance processes, including Record-to-Report, Source-to-Pay, and Order-to-Cash. As the SAP Technical Lead, you will own how those processes are engineered—from the clean-core S/4HANA core and its extensions, to the integration fabric that connects SAP to the rest of the enterprise, to the AI and agentic services that make the experience intelligent. Rather than accumulating custom code inside the digital core, you'll champion a modern extensibility model on SAP BTP and the Databricks Lakehouse, so Finance teams get automated, AI-driven workflows on top of a core that stays clean, upgradable, and fast. Your mission is to combine the strength of SAP with the power of Databricks AI to build a technical foundation that lets the business scale. What You'll Do - Own the Technical Architecture: Define and own the end-to-end technical architecture for the S/4HANA landscape (greenfield, brownfield, or selective data transition), aligned to clean-core principles, with clear guardrails that keep the digital core standard and upgrade-ready. - Lead the Extensibility Strategy: Define and own the extensibility strategy for SAP, using Databricks-native applications to address business requirements beyond core SAP capabilities. Establish clear architecture and governance standards to ensure extensions are scalable, secure, and aligned with the broader Finance technology strategy. - Drive Enterprise AI Integration: Drive a strong integration with ongoing Enterprise AI transformation within Databricks by bringing AI fluency and hands on AI experience. - Design the Integration Fabric: Architect secure, resilient integration across SAP and non-SAP systems using SAP Integration Suite, event-driven patterns, APIs, OData v4, and change-data feeds into the Lakehouse, with clear contracts, error handling, and observability. - Unify SAP Data in the Lakehouse: Partner with data engineering on the technical patterns for landing SAP data in Databricks—ingestion, CDC, semantic and master-data modeling, lineage, and governance. - Set Engineering Standards: Establish CI/CD, automated testing, and transport/deployment pipelines for BTP artifacts; own code and design reviews; and define the technical standards, security patterns, and best practices the team builds against. - Lead the Team: Mentor developers and architects, lead technical steering, and act as the connective tissue across the SAP ecosystem (BTP, Integration Suite) and the systems around it, partnering closely with functional, product, and partner engineering teams. - Be Accountable for Non-Functionals: Own performance, scalability, security, resilience, and cost across the landscape; report technical status, risks, and roadmaps to stakeholders. What You Bring - 10+ years in SAP technical roles , with 3+ years as a technical lead or architect, and a proven track record delivering at least one full S/4HANA program (greenfield or conversion) plus BTP-based extension delivery. - Clean-Core Architecture: Deep, hands-on command of clean-core principles—custom-code assessment and remediation, in-app vs. side-by-side extensibility, released APIs and extension points, and the governance that keeps the core clean over time. - SAP BTP & Modern Development: Advanced experience across SAP BTP, ABAP Cloud and the ABAP RESTful Application Programming Model (RAP), CDS, and CAP, with Fiori/SAPUI5 on the front end. - AI & Agentic Systems: Hands-on experience or strong technical command of agentic automation, LLM orchestration, retrieval-augmented generation, and evaluation—plus clear judgment about where AI belongs in a controlled, auditable ERP process and where it does not. - Integration & APIs: Advanced experience with SAP Integration Suite, API management, event-driven architecture, and REST/OData, integrating hybrid SAP and non-SAP landscapes. - Data Fluency: Solid understanding of modern data platforms, SAP data extraction and modeling, pipelines, and semantic layers, and the practical work of making ERP data usable for analytics and AI. - Governance Rigor: Working knowledge of SAP authorizations, SoD, SOX and audit requirements, and the ability to architect solutions and automation that satisfy them. - Leadership: Ability to translate business requirements into technical architecture, present tradeoffs to non-technical stakeholders, mentor engineers, and make pragmatic decisions that balance speed against long-term maintainability. Preferred Qualifications - Experience building custom applications or automation layers on modern data platforms (such as Databricks) that extend or sit alongside SAP. - A clear point of view on build-versus-adopt tradeoffs across the SAP AI and extension stack (BTP, AI Core, Joule) versus a Databricks-native approach. - Hands-on knowledge of SAP integration surfaces and their limitations, including OData and REST APIs, CDS views, and Datasphere. - Experience running Agile delivery with system integrators and managed service partners, including vendor and SLA accountability. - SAP certification in SAP BTP, S/4HANA, or a relevant technology area, and prior work in a high-growth technology company where ERP had to scale quickly. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $198,200 - $272,600 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Technical Program Manager (AI/ML)
ABOUT CUSPAI CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering. We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock. We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters. We’re on the cusp of the on-demand materials era. Join us. THE ROLE Due to rapid growth, we are seeking a Technical Program Manager with an AI/ML background to join our team in Berlin. You will be a key driver of technical cohesion, bridging the gap between our research and the physical implementation of next-generation materials. YOUR IMPACT In this role you will be building and executing the program management framework that accelerates AI/ML frontier research and platform capability development, which is critical for translating scientific objectives into real-world, scalable materials breakthroughs. As a member of our growing team of TPMs, you will work closely with our technical teams on internal initiatives and also manage high-stakes customer projects. Your main focus initially will be coordinating complex technical campaigns in frontier AI/ML research focused on developing novel materials, and over time you will likely get involved in establishing more sophisticated, scalable processes for model development lifecycles. WHAT YOU WILL DO Program Leadership & Research Integration - Lead internal technical programs across AI/ML model development, frontier research, data workflows, and machine learning infrastructure, acting as the connective tissue between AI researchers and materials scientists. - Translate scientific and business objectives into executable plans, aligning commercial, research and engineering teams. - Close the loop between experimental results and the AI research cycle, translating lab findings back into the model development process to continuously improve accuracy and accelerate discovery. - Own planning and delivery of projects; calculating compute, managing resources & dependencies, mapping out timelines, and managing risks to ensure successful outcomes. Partner & Customer Collaboration - Lead technical programs with industry partners and research institutions, serving as a primary program contact for our external partners during the execution and delivery of projects. - Facilitate technical discussions between internal teams and external stakeholders. - Drive project scoping and proposal writing in collaboration with the Partnerships and technical teams. - Manage joint development initiatives and coordinate customer pilot programs from conception through to deployment. Process & Operations - Work closely with the rest of the global TPM team to refine scalable processes. - Implement metrics for tracking technical milestones and program outcomes. - Coordinate compliance and regulatory considerations across programs. - Support intellectual property (IP) and scientific publication processes. - Foster interdisciplinary team culture and own change management to successfully scale the organisation. - Use data to drive continuous improvements to internal and customer-facing processes. MUST HAVE SKILLS AND QUALIFICATIONS: - You possess a strong background in AI/ML and/or a related Natural Science field. - Proven experience as a Technical Program Manager specifically within the AI/ML domain, including a deep understanding of model architecture, cloud computing best practices and the software development lifecycle. - Strong leadership and facilitation capabilities for managing cross-functional teams. - The ability to navigate high levels of ambiguity and maintain cohesion across multi-disciplinary teams (AI, Chemistry, and Engineering). - Excellent stakeholder management skills with the ability to influence both highly technical researchers and non-technical partners at varying levels of seniority. - Strategic thinking and problem-solving skills with comfort navigating ambiguity and changing priorities. BONUS POINTS (BUT NOT CRITICAL): - Experience with molecular simulation software, quantum chemistry packages, or cheminformatics tools. - Practical experience or an academic background in Materials Science, Experimental Chemistry, or Physics. - Hands-on experience with high-performance computing (HPC) infrastructure or scientific data management. ADDITIONAL CONSIDERATIONS This role will be based in our Berlin office, with the expectation of being in the office three days per week. Additionally, there may be regular travel required to other locations (particularly London or Amsterdam) for collaboration and project work. WHAT WE OFFER - A competitive salary: We value and reward impact and growth - Equity in CuspAI: You have a stake in the success of the company - Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays - ‘Gold Standard’ parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together - Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth - Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques - True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world. CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace. We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law. We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team. Please let us know if you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate.
Senior Production Engineer, Managed AI
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: At Crusoe, our Production Engineering team ensures the reliability and scalability of Crusoe’s AI-optimized cloud platform. We’re looking for a Senior Production Engineer with a strong background in distributed systems and hands-on experience with large language models to help us build and operate managed AI services at scale. This role is central to delivering highly available, performant, and cost-efficient AI infrastructure that powers compute-intensive, latency-sensitive workloads for our customers. What You’ll Work On: - Design and operate reliable managed AI services with a focus on serving and scaling LLM workloads - Build automation and reliability tooling to support distributed AI pipelines and inference services - Define, measure, and improve SLIs/SLOs across AI workloads to ensure performance and reliability targets are met - Collaborate with AI, platform, and infrastructure teams to optimize large-scale training and inference clusters - Automate observability by building telemetry and performance tuning strategies for latency-sensitive AI services - Investigate and resolve reliability issues in distributed AI systems using telemetry, logs, and profiling - Contribute to the architecture of next-generation distributed systems purpose-built for AI-first environments What You’ll Bring: - Strong software engineering background — experience building production-grade systems beyond scripting or Bash - Demonstrated experience in distributed systems design and implementation - Hands-on work with large language models (LLMs) or AI/ML infrastructure - SRE mindset and experience (whether or not under the SRE title) including: - Defining and measuring SLIs/SLOs - Building monitoring and observability systems - Driving performance and reliability improvements - Designing fault-tolerant systems and automated testing strategies - Proficiency in at least one modern programming language (Python, Go, Java, C++) - Familiarity with Kubernetes or container orchestration platforms - Strong collaboration and communication skills - Ability to thrive in a fast-paced, mission-driven environment Bonus Points: - Experience scaling inference or training workloads for LLMs Benefits: - Industry competitive pay - Restricted Stock Units in a fast growing, well-funded technology company - Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents - Employer contributions to HSA accounts - Paid Parental Leave - Paid life insurance, short-term and long-term disability - Teladoc - 401(k) with a 100% match up to 4% of salary - Generous paid time off and holiday schedule - Cell phone reimbursement - Tuition reimbursement - Subscription to the Calm app - MetLife Legal - Company paid commuter benefit; $300 per month Compensation: Compensation will be paid in the range of $170,000 - $205,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, 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 Director, Developer Advocacy
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: As our Senior Director, Developer Advocacy, you are the public face of Crusoe Cloud to the developers, ML engineers, and technical builders who shape where AI infrastructure goes next. You carry that same voice to the architects, technical decision makers, and executives who shape AI infrastructure decisions. This is a rare role for someone who is equally at home in front of a camera and inside a terminal. You have real technical credibility, you know how to earn the trust of practitioners, and you know how to turn that trust into awareness, interest, and adoption. You don't market at developers. You build with them, talk like one of them, and show up where they already are. You will define how Crusoe Cloud engages developers across social platforms and technical communities, helping us cut through the noise with a cohesive narrative. At events, you'll be on the show floor, engaging directly with developers, capturing their perspectives, and generating real excitement for Crusoe Cloud. And you will personally create the content that makes developers stop scrolling and pay attention, with a particular emphasis on short-form video. Your developer credibility is the engine, and its reach extends well beyond the developer community alone. This role sits at the intersection of advocacy, content, and community. You will partner closely with Developer Relations, Product, Engineering, and the broader Marketing team, but the voice and the point of view are yours. Your job is to make Crusoe Cloud the platform that technical audiences are curious about, talk about, and want to try, and that the decision makers behind those choices recognize and trust. What You'll Be Working On: - Be the Public Voice of Crusoe Cloud - Serve as a credible, recognizable face and voice for Crusoe Cloud across developer audiences, building genuine relationships with practitioners rather than broadcasting at them. - Develop and own a distinctive point of view on AI infrastructure, GPU compute, model training, and inference that earns the respect of technical audiences and differentiates Crusoe in a crowded market. - Represent the real developer experience back into the company, surfacing what builders love, what frustrates them, and where Crusoe can win. - Content and Short-Form Video - Conceive, script, and produce short-form video that raises awareness of Crusoe Cloud and sparks authentic interest in the platform, optimized for the platforms developers actually watch. - Build a consistent content engine across formats, from quick explainers and reactions to behind-the-scenes builds and hot takes, all geared toward awareness and interest rather than documentation or tutorials. - Get hands-on with Crusoe Cloud so every piece of content is grounded in first-person technical understanding, not secondhand talking points. - Engagement Strategy, Editorial Calendar, and Narrative - Define Crusoe Cloud's developer engagement strategy and the point of view that helps us stand out from the noise in a crowded AI infrastructure market. - Own a cohesive editorial calendar across social and community channels, ensuring a consistent cadence and a clear, connected narrative about Crusoe Cloud rather than a series of one-off posts. - Establish and lead Crusoe's presence in the places developers gather, from X and YouTube to Discord, GitHub, Reddit, and emerging channels, with clear goals for reach, engagement, and platform sign-ups. - Build a feedback loop between community conversation and the rest of the company, turning real developer signal into action for Product, Engineering, and Marketing. - Reach and Influence Beyond Developers - Extend Crusoe's voice beyond practitioners to the architects, economic buyers, and executives who shape AI infrastructure decisions. - Translate developer-level credibility into broader awareness and reputation, building recognition for what Crusoe Cloud is and the value it brings to the people deciding where to build. - Partner with Product Marketing and Communications so the developer narrative ladders up into messages that land with technical and business decision makers, without diluting the authenticity that makes it work. - Developer Engagement at Events - Be Crusoe's presence on the show floor at developer conferences and meetups, engaging directly with developers to understand what they're building and what they need. - Capture developer views, thoughts, and reactions in the moment, feeding real-world signal back into content, product, and go-to-market. - Generate genuine excitement for Crusoe Cloud through authentic, one-on-one conversations and an engaging presence on the floor. - Identify creative, unconventional ways to reach developers and technical decision makers beyond the standard booth-and-badge playbook. - Cross-Functional Partnership - Partner closely with Developer Relations to align advocacy, content, and community efforts into one coherent developer experience. - Work with Product and Engineering to stay ahead of the roadmap, ensuring your content and messaging reflect what's real and what's coming. - Collaborate with Product Marketing and the wider Marketing team so this work reinforces, and is reinforced by, the broader go-to-market motion. - Measurement and Impact - Define and track the metrics that matter for this role, including content performance, audience growth, community health, and influence on platform adoption. - Use data to learn fast, double down on what resonates, and demonstrate the business value of this work to leadership. What You'll Bring to the Team: - 10+ years of experience in developer relations, developer marketing, technical content creation, or a closely related field, with a track record of building and engaging technical audiences at scale. - Demonstrated ability to earn credibility with deeply technical audiences (AI and ML practitioners, cloud infrastructure engineers) and measurable impact on awareness, engagement, or adoption. - Hands-on, current technical fluency. You can credibly discuss GPU clusters, model training workflows, inference optimization, and cloud infrastructure with engineers and product managers. - Working knowledge of distributed inference and post-training techniques (e.g., fine-tuning, LoRA, quantization, RLHF, model distillation), with enough depth to speak credibly with practitioners and translate these concepts into content that resonates. - Ability to carry a single, credible narrative across audiences, from hands-on practitioners to the architects, economic buyers, and executives who shape infrastructure decisions. - Proven experience creating content that performs, with direct, hands-on experience producing short-form video for technical or developer audiences. - A strong personal point of view and the comfort and presence to be a public-facing voice on camera and across social platforms. - Strategic thinker who executes with precision, equally comfortable setting the engagement strategy and personally shipping the content. - Excellent written and verbal communication skills, with the ability to make complex technical concepts clear, compelling, and genuinely interesting. - Experience in fast-paced, high-growth environments, ideally at an AI-native company, hyperscale cloud provider, or infrastructure startup. Bonus Points - An established personal brand or following within a developer or technical community. - A bachelor's degree in computer science, engineering, or a related technical field is strongly preferred. - Direct, hands-on experience building on cloud infrastructure or AI platforms as a practitioner. - Experience leading or mentoring a small team of advocates, content creators, or community managers. - Familiarity with the AI infrastructure landscape and the practitioners who build on it. 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 $280,000 - $300,000 + 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.
Principal Enterprise Technology Architect
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 Principal Enterprise Technology Architect to own the technical vision for how our internal business systems connect, scale, and evolve. This is a newly created senior Individual Contributor role: you will be the highest-ranking technical voice in our Enterprise Technology organization, setting the architectural standard that guides our team of experienced system administrators. Crusoe is at an inflection point. We have mature, capable platforms running Finance (Oracle Fusion, Coupa, Sage Intacct), Construction and Operations (Procore, Oracle Primavera), and People (Rippling, Ashby), but they operate largely as islands. Your mandate is to design the unified architecture that connects them: defining master data models, engineering a scalable and increasingly event-driven integration layer, and building the governance frameworks (including how AI is responsibly introduced into these systems) that take us from startup agility to enterprise maturity. This is a greenfield architecture role first. You will spend the majority of your time designing systems, producing ERDs, context diagrams, and sequence flows, before a single line of configuration is written. This role does not carry formal people-management responsibility, though as a Principal (P6) you may guide contributors indirectly on complex initiatives. You will serve as the integration and architecture subject matter expert that a team of senior administrators pulls in on complex, cross-system initiatives, and as a voice in Architecture Review Board discussions on major platform changes. This role partners with, rather than replaces, existing domain owners: the IT Architect retains ownership of iPaaS design and governance, the Identity Lead retains ownership of IAM/PAM and access governance, and the AI & Automation Staff Engineer retains ownership of AI governance and architecture. This role's mandate is enterprise-wide data-model and integration-pattern design, done in partnership with those owners. What You'll Be Working On: - Greenfield Architecture & System Design - Lead technical discovery for all major system initiatives, producing high-fidelity artifacts — ERDs, system context diagrams, data flow maps, and sequence diagrams — that serve as the source of truth for implementation - Assess current platform limitations and define the path forward, including when to optimize, when to re-platform, and when to build a custom integration layer - Serve as the primary technical evaluator during software procurement, vetting vendors on API robustness, data model flexibility, and security compliance — not just features - Identify and document integration debt across the current-state architecture and develop a prioritized roadmap to address it - Participate in Architecture Review Board discussions, ensuring major system changes align with enterprise standards and reference architecture - Master Data & Integration Strategy - Partner with platform SMEs and administrators to define a unified approach to master data across the organization - Partner with the IT Architect and platform SMEs who own our iPaaS integration environment today, co-developing reusable integration patterns, error-handling frameworks, and self-healing workflows that raise the bar without displacing existing ownership - Drive integration architecture toward API-first, event-driven patterns (REST, webhooks/pub-sub) where they improve reliability and reduce latency over batch processing - Define how internal systems authenticate and communicate, with strict enforcement of secure API standards (OAuth 2.0, REST/SOAP) across all integrations - AI & Intelligent Automation - Partner with the AI & Automation Staff Engineer to identify high-value opportunities to embed AI into Crusoe's enterprise systems — workflow automation, intelligent document processing, enterprise copilots, and natural-language interfaces to platforms — contributing enterprise-systems and data-model expertise to their design - Contribute enterprise-architecture perspective to the AI & Automation team's evaluation of agentic AI, RAG, LLM integration patterns, and orchestration frameworks (including MCP); co-develop governance standards for their use within enterprise systems alongside the AI & Automation Staff Engineer, who owns AI governance - Partner with InfoSec and Data teams to ensure AI-enabled workflows meet data privacy, security, and audit requirements - Cross-Functional Collaboration & Technical Advisorship - Work alongside a team of experienced senior system administrators across Oracle, Procore, Coupa, Rippling, and other platforms — serving as the go-to architecture and integration resource on complex cross-system initiatives - Conduct design and configuration reviews, provide architectural guidance, and help administrators think through integration trade-offs on their projects - Establish shared standards for documentation, sandbox management, and change control that the broader team can build toward consistently - Governance & Standards - Establish the “Rules of the Road” for the Enterprise Technology team: naming conventions, sandbox management, documentation standards, and change control processes - Partner with InfoSec to ensure all architectural designs meet SOC2 and SOX requirements - Partner with the Identity Lead, who owns IAM/PAM and access design, to ensure RBAC models across enterprise systems are secure without creating operational friction — contributing enterprise-systems context rather than setting Identity policy independently - Define architectural review processes and quality standards for enterprise-systems initiatives, coordinating with the AI & Automation and Identity teams on criteria within their respective domains - Cross-Functional Translation - Serve as the primary bridge between business needs and technical execution, representing the Enterprise Technology team to stakeholders in Finance, Construction, and People - Communicate architectural trade-offs — real-time vs. batch, build vs. buy, monolith vs. modular — clearly to non-technical audiences - Build credibility and trust with business partners through consistent, clear communication and follow-through What You'll Bring to the Team: - Demonstrated experience designing systems from the ground up, with examples of greenfield architecture work including ERDs, context diagrams, and data flow documentation you personally produced. - 10-15+ years of experience in Enterprise Systems or Solutions Architecture, or equivalent depth of domain/architectural expertise, with at least 5+ years in a Solution Architect or Lead Systems Engineer role and a track record of sustained, recognized impact in the field. - Deep familiarity with at least one of our core platform domains: ERP/Finance (Oracle Fusion Cloud, Coupa, Sage Intacct) or Construction/Ops (Procore, Oracle Primavera). - Strong understanding of business process flows, particularly Procure-to-Pay (P2P), Order-to-Cash (O2C), and Hire-to-Retire (H2R), and how they map to system data models. - Advanced SQL proficiency and deep fluency with web services (REST/SOAP, JSON, XML, Postman). - Experience operating as a senior technical resource without formal authority, advising peers, running design reviews, and influencing stakeholders through expertise rather than title. - Demonstrated ability to coach and develop senior colleagues and to guide contributors indirectly, without formal management authority, on complex technical and architectural decisions. - Comfort making strategic calls under significant ambiguity, reading urgency correctly, and finding efficient resolution paths on programs with Crusoe-wide visibility. - Ability to work onsite in San Francisco or Denver per the schedule outlined above. Bonus Points - Hands-on experience with an enterprise iPaaS platform (Workato preferred; MuleSoft, Boomi, or equivalent considered), including building complex integrations, custom connectors, and managing integration lifecycle management. - Familiarity with our full platform stack: Oracle Fusion Cloud, Coupa, Sage Intacct, Procore, Oracle Primavera, Rippling, Ashby. - Experience building AI-enabled enterprise applications, including agentic AI, RAG, LLM orchestration, MCP, or vector databases, and evaluating them for business-system use cases. - Cloud-native architecture exposure (AWS, Azure, or GCP) and familiarity with event-driven integration patterns (e.g., pub/sub, webhooks). - Certifications: Workato Automation Pro II/III, TOGAF, or AWS Certified Solutions Architect. - Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. - Experience in high-growth technology or infrastructure companies navigating the startup-to-enterprise transition. 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 $225,000- $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.
Software Engineer Intern
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. Cresta is building the AI platform for the modern contact center —one of the largest and most critical systems in the global economy. We combine human agents and AI agents to handle customer conversations at scale, helping enterprises improve customer experience, increase revenue, and reduce cost in real time. This isn’t experimental AI. Our systems run in live production environments , shaping millions of customer interactions every day. We’re looking for builders who want to take ownership and move fast. About the Role As a Software Engineer Intern , you’ll build systems that power real-time, AI-driven customer interactions in contact centers . You’ll work on production infrastructure where latency, reliability, and measurable business outcomes matter. You may work across key areas such as: - AI Agents & Automation – systems that handle and assist high-volume customer conversations - Real-Time Agent Assist – delivering live guidance and insights during interactions - Conversation Intelligence – extracting insights from millions of conversations - AI Evaluation & Reliability – improving quality, consistency, and observability of LLM systems - Platform & Infrastructure – enabling scalable, low-latency AI experiences Cresta’s platform powers the full contact center workflow —from real-time assistance and automation to post-call analytics and continuous optimization. You’ll operate in a high-ownership, fast-moving environment where interns are expected to contribute meaningfully, not just observe. What You’ll Do - Design and build systems that support real-time AI-powered customer interactions - Work on features combining LLMs, data systems, and user-facing applications - Collaborate with engineers, product, and ML teams to ship production-ready solutions - Build systems for evaluation, monitoring, and continuous improvement of AI behavior - Optimize for low latency, high throughput, and reliability at scale - Take ownership of problems end-to-end—from identifying gaps to shipping solutions What We’re Looking For - Experience with one or more programming languages (e.g., Python, Go, Java, JavaScript, TypeScript ) - Interest in building user-facing products, backend systems, or real-time/data-intensive applications - Familiarity with modern web development (frontend and/or backend), APIs, or system design fundamentals - Understanding of building reliable, maintainable systems —this could include UI/UX quality, API design, or performance considerations - Curiosity about LLMs, AI agents, or production AI systems (no prior ML experience required) - Experience using AI-powered developer tools (e.g., Cursor, Claude Code) to accelerate development workflows - Strong proficiency in agentic coding workflows—effectively collaborating with AI tools to design, implement, and iterate—is a strong plus - A driver mindset—you proactively identify problems, take initiative, and push work forward rather than waiting for direction - Strong problem-solving ability and a bias toward action What You’ll Learn - How to build and ship production-grade AI systems used in real customer environments - How to design systems balancing model quality, latency, and reliability - How AI agents are deployed, evaluated, and improved at scale - How contact centers evolve from manual workflows to AI-driven operations What Makes Cresta Different - AI in production: Our systems operate in live contact centers, not demos - Hybrid workforce: We’re defining how human and AI agents work together - Real business impact: We directly influence revenue, cost, and customer experience - Driver culture: We value people who take initiative, move fast, and own outcomes end-to-end - Ownership & velocity: Engineers are trusted to ship and make decisions early Internship Details - Location: Toronto ( remote-friendly; no in-office mandate, but we encourage in-person collaboration ) - Compensation: CAD $30-50/hour - Outstanding performers are eligible for return co-op and full-time offers well above our posted range. - Perks: - Lunch and dinner can be expensed (up to $25 each) while working in the office - Well-stocked office with snacks and drinks - Convenient downtown location near Union Station (public transit accessible) - PTO: 4 days - Exposure to cutting-edge AI systems in production - Potential return offer Why Join At Cresta, you won’t just learn about AI—you’ll help build the systems redefining how contact centers operate . From real-time agent assist to autonomous AI agents, your work will directly impact how millions of customer conversations are handled. Past interns consistently highlight Cresta’s strong engineering culture and ownership-driven environment as a standout compared to their previous internship experiences. We invest in giving interns real responsibility, meaningful projects, and close collaboration with experienced engineers. If you want to own real problems, ship quickly, and work at the frontier of applied AI , you’ll fit right in. Application Note To help us find the best team match, please include a brief note on the type of problems you most enjoy working on . For example: - Backend / distributed systems / infrastructure - Frontend / UI engineering / product experience - Full product development (end-to-end features) - AI / machine learning / applied LLMs - Data / analytics / experimentation - Or anything else you’d like us to highlight We can’t guarantee specific team placement, but we use this input to help guide matching wherever possible. 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.
Forward Deployed Product Manager, AI Agent
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 Forward Deployed Product Manager, AI Agent , you will create, deploy and optimize AI Agents that transform our customers’ businesses and delight their customers. This highly cross-functional and customer-facing role blends product thinking, a nose for value, and project leadership with senior customer executives. At the end of the day, you own each AI Agent and the outcomes they drive for our customers, and you take that personally. You are a creative, pragmatic problem solver who thrives in fast-paced environments, rolls up your sleeves to build, and excels at turning ambiguity into execution. In this role, you’ll partner with Forward Deployed Engineers (FDEs) who will support the build, integrations and optimization to make the AI Agent product successful. You’ll also work closely with product and engineering, providing a tight feedback loop and custom tooling that will shape the future of our platform. What You’ll Do: - Own AI Agent outcomes for our customers — defining and delivering on the metrics that move the needle. This includes finding additional automation opportunities that can provide even more value! To do this, you’ll… - Own the deployment lifecycle for AI Agents — from pre-sale scoping and kickoff to launch and post-go-live optimization - Design, build, test and iterate on AI agents in partnership with FDEs using Cresta’s internal tools and the latest technologies to deliver the highest customer ROI - Lead customer relationships and act as the primary point of contact for AI Agent. Help prospects and customers move faster to ensure we can deliver quickly and effectively. - Facilitate workshops and design sessions with customer stakeholders to align on agent use cases, workflows, and success criteria while gathering feedback to improve the AI agent platform - Work closely with FDEs to ensure smooth implementation, build new capabilities as needed and provide feedback and improvements to our broader platform - Improve our playbooks for agent development and customer deployment What We’re Looking For: - 5+ years of experience in Technology Consulting, Implementations, Product, or Customer Success roles, ideally working closely with AI or LLM first products - Hands-on work style – curiosity with a bias for action. You anticipate needs and bottlenecks and deliver with urgency and care. - Experience leading complex deployments, owning customer relationships (including senior customer stakeholders), and working cross-functionally - Strong technical understanding, systems thinking and exposure to building Agents (not necessarily conversational, personal projects count!) - Comfortable working with ambiguity and learning quickly in a dynamic startup environment - Passion for AI, automation, and shaping the future of customer experience Bonus Points: - Background in product management, conversation design or forward deployed engineering roles - Experience in a startup or high-growth SaaS environment - Familiarity with customer support and contact center operations 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. OTE Range : $170,000–$280,000 + 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.
Forward Deployed Product Manager - AI Agent (EMEA)
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 our first EMEA Forward Deployed Product Manager, AI Agent , you will create, deploy and optimize AI Agents that transform our customers’ businesses and delight their customers. This highly cross-functional and customer-facing role blends product thinking, a nose for value, and project leadership with senior customer executives. At the end of the day, you own each AI Agent and the outcomes they drive for our customers, and you take that personally. You are a creative, pragmatic problem solver who thrives in fast-paced environments, rolls up your sleeves to build, and excels at turning ambiguity into execution. In this role, you’ll partner with Forward Deployed Engineers (FDEs) who will support the build, integrations and optimization to make each AI Agent successful. You’ll also work closely with product and engineering, providing a tight feedback loop and custom tooling that will shape the future of our platform. As the first hire in EMEA, you’ll also play a key role in setting the standards for the role in the EMEA region and helping to grow the team as we scale. What You’ll Do - Own AI Agent outcomes for our customers — defining and delivering on the metrics that move the needle. This includes finding additional automation opportunities that can provide even more value! To do this, you’ll… - Own the deployment lifecycle for AI Agents — from scoping and kickoff to launch and post-go-live optimization - Design, build, test and iterate on AI agents in partnership with FDEs using Cresta’s internal tools and the latest technologies to deliver the highest customer ROI - Serve as the AI Agent SME for the EMEA Sales cycle, partnering on demos, solutioning, and deal reviews to ensure technical feasibility, value articulation, and successful handoff to deployment. - Lead customer relationships and act as the primary point of contact for AI Agent. Help customers move faster to ensure we can deliver quickly and effectively. - Facilitate workshops and design sessions with customer stakeholders to align on agent use cases, workflows, and success criteria - Work closely with FDEs to ensure smooth implementation, build new capabilities as needed and provide feedback and improvements to our broader platform - Improve our playbooks for agent development and customer deployment - Build our forward deployed practice for EMEA, setting the standards for future growth What We’re Looking For - 5+ years of experience in Technology Consulting, Implementations, Product, or Customer Success roles, ideally working closely with AI or LLM first products - Hands-on work style – curiosity with a bias for action. You anticipate needs and bottlenecks and deliver with urgency and care. - Experience leading complex deployments, owning customer relationships (including senior customer stakeholders), and working cross-functionally - Strong technical understanding, systems thinking and exposure to building Agents (not necessarily conversational, personal projects count!) - Comfortable working with ambiguity and learning quickly in a dynamic startup environment - Passion for AI, automation, and shaping the future of customer experience Bonus Points - Background in product management, conversation design or forward deployed engineering roles - Experience in a startup or high-growth SaaS environment - Familiarity with customer support and contact center operations 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 - Paid parental leave for all new parents welcoming a new child - Remote work setup budget to help you create a productive home office - Monthly wellness and communication stipend to keep you connected and balanced - 20 days of vacation time 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. 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.
Associate Forward Deployed Product Manager
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 an Associate Forward-Deployed Product Manager on the AI Agents team, you will create, deploy, and optimize AI Agents that transform our customers’ businesses and delight their customers. This customer-facing role blends product thinking, prompt engineering, data-driven insights, and project leadership with Strategic & Fortune 500 companies. In this role, you’ll collaborate with senior Forward-deployed Product Managers and Forward-deployed Engineers (FDEs) to support the build of AI Agent products. What You’ll Do: - Drive AI Agent deployments for customers across the lifecycle — from pre-sales to post-launch optimization - Define AI roadmaps for the customer’s executive team by blending both quantitative analysis and qualitative insights; leverage automated conversation discovery tools in addition to traditional data analysis - Iterate prompt & context engineering to achieve customer’s use case and intended business outcomes - Own designing and running evaluations and A/B tests of AI Agents with Forward-Deployed Engineers (FDEs) using Cresta’s agent builder and beta internal tools - Improve our playbooks for agent development and customer deployment Why join as an Associate FDPM at Cresta? - Differentiated career development: - Get hands-on AI product experience building Agentic solutions using a cutting-edge tech stack - Access to an accelerated timeline of customer-facing opportunities as an AI thought partner to executives & leadership - Rotational opportunities: - Launching solutions for mid-market to Fortune 500 companies across different verticals, gaining breadth & depth in industry knowledge and domain expertise - Develop multiple functional strengths as a super-generalist: work on projects that give experience across multiple teams, including go-to-market, engineering, product, customer success, and more - Investment & mentorship: - Mentorship from PMs who have been building GenAI solutions since GPT-2, as well as from Microsoft, TikTok, consulting firms, and start-ups - Launching pad for your learning and career, we take that seriously as a company in scoping opportunities What We’re Looking For: You are a pragmatic, results-oriented problem solver who thrives in fast-paced environments and excels at turning ambiguity into execution. What you’ll bring: - 2+ years of relevant experience (e.g., Product Management, Consulting, Implementations, Customer / Sales Engineer, Revenue & Sales Analyst, Investment Banking, Founder) - Hands-on work style – curiosity with a bias for action. You deliver with urgency and care - Comfortable working with ambiguity and learning quickly in a dynamic startup environment - Willingness to travel Bonus Points: - Previous exposure via clients or projects to the travel & hospitality, healthcare, insurance, and financial industry domains - Experience in a startup or high-growth SaaS environment - Experience working closely with AI or LLM-first products - Technical understanding, systems thinking and exposure to building Agents (not necessarily conversational, personal projects count!) 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. OTE Range : $130,000–$170,000 + 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.
AI Quality Assurance Intern
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 are seeking curious, detail-oriented students to join our AI Delivery team as AI Quality Assurance Interns . This is a hands-on role where you will evaluate the behavior, accuracy, and reliability of Cresta’s AI Agents and Agent Assist systems. Unlike traditional QA, this work sits at the intersection of: - AI behavior analysis - Intent recognition evaluation - Conversation quality assessment - Model output auditing - Light prompt testing and refinement Responsibilities: You will help ensure our AI systems act as intended, follow correct business logic, and provide accurate and safe outputs to end users. As an AI Quality Assurance Intern, you will: - Execute structured test plans for AI Agent implementations - Validate that intents, entities, and workflows trigger correctly - Identify behavioral inconsistencies, misclassifications, or hallucinations - Review and validate AI-generated suggestions, summaries, and classifications - Provide actionable feedback to improve intent models and redaction/PII handling - Run bias, redaction, and transcription accuracy checks - Spot patterns or emerging issues across test sets - Contribute ideas for improving internal QA processes and tools Qualifications We Value: This is an excellent fit for students interested in: - AI/ML, NLP, or chatbots - Product quality and user experience - Linguistics, conversation analysis, or human–AI interaction - Exploring a career in AI evaluation, AI ops, or product QA No advanced ML experience is required — just strong analytical thinking and curiosity about how intelligent systems behave. Perks & Benefits: - $30-$50 per hour subject to taxes - Lunch can be expensed (up to $25) while working in the office. - PT0: 4 days 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.com. 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.
Specialist Field Engineer - Kubernetes
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: The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the role: As a Specialist Field Engineer at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together! In this role, you will: - Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on Kubernetes solutions within high-performance compute (HPC) environments - Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements. - Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments. - Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise. - Act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions. - Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture. - Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions. - Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders. - Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption. - Represent CoreWeave at conferences and industry events, with occasional travel as required. Who You Are: - B.S. in Computer Science or a related technical discipline, or equivalent experience - 7+ years of proven experience as a Solutions Architect, Field Engineer, Engineer, Researcher, or Technical Account Manager in Cloud Infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on scalable Kubernetes solutions - Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions - Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences - Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL) - Experience with running large-scale Artificial Intelligence/Machine Learning (AI/ML) training and inference workloads on technologies such as Slurm and Kubernetes. You understand integration points between cloud solutions and enterprise IT Preferred: - Code contributions to open-source inference frameworks - Experience with scripting and automation related to Kubernetes clusters and workloads - Experience with building solutions across multi-cloud environments - Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures 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 help solve challenging technical problems - You’re curious about the latest and greatest technologies in the AI space - You’re an expert in managing conflict and achieving mutually beneficial technical outcomes 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 take off, 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 $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.
Senior 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: Senior engineers are area owners who lead designs, raise engineering standards, and deliver measurable improvements to latency, throughput, and reliability across multiple services. You’ll partner with product, orchestration, and hardware teams to evolve our Kubernetes-native inference platform and meet strict P99 SLAs at scale. About the role: - Lead design reviews and drive architecture within the team; decompose multi-service work into clear milestones. - Define and own SLIs/SLOs; ensure post-incident actions land and reliability improves release-over-release. - Implement advanced optimizations (e.g., micro-batch schedulers, speculative decoding, KV-cache reuse) and quantify impact. - Strengthen incident posture: capacity planning, autoscaling policy, graceful degradation, rollback/traffic-shift strategies. - Mentor IC1/IC2 engineers; review cross-team designs and elevate coding/testing standards. - Own an area spanning multiple services and teams (e.g., request routing & adaptive scheduling, cost-per-token analytics, GPU resource isolation). Who You Are: - ~ 5-8 years industry experience building distributed systems or cloud services. - Strong coding in Python or Go (C++ a plus) and deep familiarity with networked systems and performance. - Optimize end-to-end ML system performance by developing and tuning CUDA kernels, reducing model latency, maximizing compute and memory bandwidth utilization, and leveraging custom accelerators for high-efficiency workloads - Hands-on experience with Kubernetes at production scale, CI/CD, and observability stacks (Prometheus, Grafana, OpenTelemetry). - Practical knowledge of inference internals: batching, caching, mixed precision (BF16/FP8), streaming token delivery. - Proven track record improving tail latency (P95/P99) and service reliability through metrics-driven work. Preferred: - Contributions to inference frameworks (vLLM, Triton, TensorRT-LLM, Ray Serve, TorchServe). - Experience with CUDA kernels, NCCL/SHARP, RDMA/NUMA, or GPU interconnect topologies. - Leading multi-team initiatives or partnering with customers on mission-critical launches. 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. 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 take off, 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 $152,000 to $204,000. 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
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 to be a driving force on CoreWeave's Benchmarking & Performance team, with a focus on building the performance insights and observability systems that make our AI infrastructure legible at every layer, from individual GPUs and NVLink/InfiniBand fabrics up through distributed training and inference workloads. You will own how we detect, diagnose, and surface performance signals across every data center in our global infrastructure, turning billions of raw telemetry events into real-time insight that engineers, product teams, and executives can act on with confidence. This is not a straightforward data engineering or BI role. The role will focus on building the observability and insight tooling that lets us answer, in near real time, whether a GPU fleet, a fabric, or a training run is performing the way it should, and why it isn't when it's not. If you're energized by building the systems that turn raw infrastructure telemetry into trusted, actionable performance intelligence, and you want that work to sit closer to the hardware and the workload than to a dashboard, this role was built for you. What you'll do - Performance Insights & Observability - Design and build the systems that continuously assess AI infrastructure health and performance: GPU utilization and efficiency, interconnect (NVLink, InfiniBand, RoCE) fabric behavior, distributed training and inference throughput, and hardware degradation signals. Build the detection and diagnosis logic that surfaces anomalies and regressions before they become incidents, not just dashboards that report on them after the fact. - Time-Series & Metrics Infrastructure - Own and extend our time-series database (TSDB) layer as the backbone of real-time observability. Write and optimize PromQL/MetricsQL queries that power alerting, anomaly detection, and trend analysis across thousands of GPUs and hundreds of benchmark runs. Bridge streaming metrics and batch-analytical workloads so engineers get sub-second answers during live incidents and analysts get complete historical context for root cause work. - Fabric & GPU Telemetry - Build and validate the pipelines and metrics that make network fabric and GPU-level behavior observable and comparable across racks, clusters, and hardware generations, including gray failure detection, congestion and error-rate signals, and health scoring that holds up under audit. - Data Lake Architecture (in support of insight work) - Design and build the performance data lake that underpins the above: table formats (Apache Iceberg, Parquet, Avro), hot/cold tiering, and schema evolution for latency distributions, throughput metrics, GPU utilization, cost-per-token, and hardware health signals. This is foundational infrastructure, not the end product. - Query Optimization & Performance - Profile and tune query engines against columnar and time-series stores so that the observability layer meets its own strict P99 latency and freshness SLAs. Benchmark the benchmarking infrastructure itself. - BI & Reporting (secondary) - Where needed, build self-service views (Grafana, Looker, or similar) for engineers, product managers, and executives, but as a downstream output of the insight and observability work above, not the primary deliverable. Who you are - 5+ years of experience building distributed systems, observability platforms, or performance engineering tooling, ideally for infrastructure or ML systems rather than general-purpose BI. - Strong coding in Python or Go (C++ a plus) and deep familiarity with networked systems, GPU infrastructure, and performance analysis. - Hands-on experience with Kubernetes at production scale, CI/CD, and observability stacks (Prometheus, Grafana, OpenTelemetry) used to monitor and diagnose infrastructure, not just report on it. - Working knowledge of time-series databases and fluency in PromQL or MetricsQL for building real-time alerting and anomaly detection, not only historical dashboards. - Familiarity with data lake architectures and modern table formats (Iceberg, Parquet, Avro) sufficient to support an insights platform, though this is not the primary skill this role is hiring for. - Comfortable working close to hardware and workload behavior: GPU utilization patterns, interconnect fabric health, distributed training/inference performance characteristics. - Strong communicator comfortable collaborating with cross-functional teams and external partners. Nice to have - Experience with time-series databases, LSM-based storage engines, or custom telemetry pipelines. - Experience running MLPerf submissions or similar large-scale audited benchmarks. - Contributions to OSS projects such as Apache Iceberg, Apache Spark, Trino, llm-d, vLLM, or PyTorch. - Direct experience benchmarking or monitoring large GPU fleets or multi-region clusters. - Experience with CUDA kernels, NCCL/SHARP, RDMA/NUMA, or GPU interconnect topologies. - Familiarity with data cataloging, lineage tools, or data governance frameworks. Why CoreWeave? Own the data that tells the truth about performance. You'll build the analytical foundations the industry relies on to measure—and achieve—state-of-the-art results, working hand-in-hand with world-class partners and communities. If you love turning vast streams of telemetry into clear, trusted insights that move markets and drive engineering excellence, we'd love to talk. 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 take off, 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 $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.
Senior Backend Engineer, Ambient AI
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’re building a next-generation ambient AI platform for healthcare, helping clinicians focus on patient care by automatically capturing, understanding, and structuring clinical conversations. Behind that experience is a distributed system responsible for ingesting long-form audio, processing real-time and asynchronous streams, orchestrating multiple AI models, and reliably producing clinical outputs. These workflows must remain observable and recoverable across network interruptions, partial failures, model timeouts, and rapidly changing inference infrastructure. We’re hiring a Backend Engineer to help build and operate this foundation. You’ll work across audio ingestion, media processing, inference orchestration, distributed workflows, storage, observability, and cloud infrastructure. This role is ideal for an engineer who enjoys making complex systems dependable. You think carefully about failure modes, idempotency, backpressure, data integrity, latency, and operational simplicity. You also understand that infrastructure exists to serve the product: the systems you build must ultimately create a fast, reliable, and trustworthy experience for clinicians. What You’ll Do - Design, build, and operate backend systems that power our Ambient AI products across mobile and web. - Own critical parts of the audio processing lifecycle, including: - Real-time and asynchronous audio ingestion - Streaming and chunked uploads - Audio validation, encoding, normalization, and processing - Durable storage and media lifecycle management - Recovery from interrupted, duplicated, delayed, or out-of-order uploads - Build and evolve inference workflows that coordinate transcription, diarization, language models, clinical extraction, summarization, and other AI capabilities. - Develop orchestration systems for long-running, multi-stage workflows, including: - Scheduling, queueing, and workload prioritization - Retries, timeouts, fallbacks, and dead-letter handling - Idempotency, replay, and safe workflow recovery - Model routing, versioning, and configuration - Progress tracking and user-visible workflow state - Graceful degradation when dependencies are unavailable - Improve the reliability and scalability of services operating under variable, compute-intensive workloads. - Define and maintain service-level objectives for critical workflows, including availability, processing latency, completion rates, and data durability. - Build strong observability across services and pipelines through structured logging, metrics, distributed tracing, dashboards, alerting, and diagnostic tooling. - Lead incident response and post-incident analysis for important production failures, turning operational lessons into lasting improvements. - Identify systemic failure patterns and eliminate them through better abstractions, automation, testing, and architecture. - Improve cloud infrastructure, deployment systems, capacity planning, and operational tooling as the platform scales. - Design APIs and data models that allow mobile, web, and internal systems to interact with long-running workflows safely and predictably. - Build tools that make inference pipelines easier to inspect, test, replay, evaluate, and debug. - Balance reliability, latency, quality, and infrastructure cost across AI and media-processing workloads. - Partner closely with mobile, product, AI, security, and clinical teams to turn new capabilities into production-ready workflows. - Mentor other engineers and help establish strong practices for distributed systems, observability, operational readiness, and backend architecture. What You Have - 4+ years of professional backend or infrastructure engineering experience. - Experience designing, building, and operating production distributed systems. - Strong proficiency in at least one modern backend programming language. - Experience with asynchronous processing, message queues, event-driven systems, or durable workflow execution. - A strong understanding of distributed-systems concepts such as idempotency, consistency, concurrency, backpressure, retries, failure isolation, and eventual completion. - Experience operating services in a cloud environment, including deployment, monitoring, scaling, and incident response. - Experience designing APIs, service boundaries, and data models for complex product workflows. - A track record of improving system reliability, observability, scalability, or operational efficiency. - Strong debugging skills across application, infrastructure, data, and external dependency boundaries. - An ability to reason about both real-time and long-running workloads with different latency and durability requirements. - Comfort working across backend, infrastructure, product, and AI systems rather than within a narrowly defined layer. - An ownership mindset and bias for action. You identify important risks, create clarity, and drive ambiguous infrastructure work through completion. Nice to Haves - Experience with audio or video ingestion, streaming media, codecs, transcoding, or media-processing pipelines. - Experience building speech-to-text, diarization, transcription, or other audio-based machine-learning workflows. - Experience orchestrating large language models or multi-model inference pipelines in production. - Familiarity with workflow orchestration systems such as Temporal or similar durable execution platforms. - Experience with event-streaming and messaging technologies such as Kafka, Pub/Sub, SQS, or similar systems. - Experience with model routing, inference gateways, rate limiting, batching, caching, or GPU-backed workloads. - Experience building internal tooling for workflow inspection, replay, evaluation, or model debugging. - Experience defining SLOs, managing error budgets, designing alerts, and leading production incident response. - Familiarity with distributed tracing and observability platforms such as Grafana, OpenTelemetry, Sentry, or similar tools. - Experience with containers, Kubernetes, infrastructure as code, and cloud-native deployment systems. - Experience optimizing systems for throughput, tail latency, infrastructure cost, and workload isolation. - Experience with offline clients, background synchronization, or systems that reconcile delayed and duplicated events. - Exposure to healthcare, HIPAA, SOC 2, encryption, privacy, security, or other regulated environments. - Experience supporting AI-native, real-time, or agentic product experiences. Why Join - Build the backend foundation for an AI healthcare product used in real clinical workflows. - Solve challenging systems problems involving long-form audio, real-time processing, distributed orchestration, and production AI. - Make reliability improvements that clinicians experience directly through faster, safer, and more dependable workflows. - Shape how inference systems are orchestrated, observed, recovered, and scaled in production. - Work closely with product and AI teams while maintaining deep ownership of backend architecture and infrastructure. - Help define the operational and engineering standards for a rapidly growing platform. - Join at a stage where core systems, technical strategy, and engineering culture are still highly shapeable. - Grow into broader backend, infrastructure, or technical leadership as the team and product expand. 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.
Technical Customer Support Engineer, AI Infrastruc...
ClickHouse welcomed Langfuse, the leading open-source platform for tracing, evaluation, and observability, to strengthen its position in the AI infrastructure and LLM observability ecosystem. With ClickHouse and Langufuse scaling to power enterprise AI workloads, we're growing our support team to provide a world-class experience for our expanding customer base, with unified expertise across database infrastructure and AI observability. We are seeking a Technical Customer Support Engineer to join our global Support Engineering team in a hybrid role spanning both ClickHouse and Langfuse ecosystems. In this position, you will support customers across EMEA and globally in the Americas and APJ when support is needed or coverage overlaps. You’ll be handling technical issues and solutions, ranging from core ClickHouse database requests to helping thousands of AI product teams succeed with tracing & evals in Langfuse. You will own a wide array of responsibilities, including front-line troubleshooting, community support, pre- and post-sales technical activities, and partnering on deeply technical POCs, and suggesting improvements to how we do things in Support at ClickHouse. What You'll Be Doing - Supporting and guiding our ClickHouse & Langfuse users, customers, and prospects via cases, chat, Slack, community, and phone calls, delivering high-touch guidance within required Service Level Agreements (SLAs) as part of a global on-call coverage rotation. - Develop solutions based on ClickHouse Cloud and ClickHouse open-source that can be shared with our users, community, and customers via documentation, knowledge base, blogs, meetups, webinars, and training. - Work closely with our global Support Services, Engineering, Go-to-Market, and Product Management teams to help define the functionality required by users and customers. - Assist with mentoring, training, and sharing your knowledge with colleagues, users, and customers. - Escalate bugs to product engineering and close the loop with the customer once shipped. - Go through deep technical integration/implementation questions together with our customers and directly within their codebases. - Build strong, trusted relationships with colleagues, customers, and partners across the developer ecosystem What You Bring For ClickHouse & Core Infrastructure: - Databases & OLAP Systems: Hands-on experience with databases, OLAP, or distributed systems (ClickHouse, SQL engines, or cloud-native SaaS infrastructure). - Systems Fundamentals: Strong software engineering fundamentals (CS, Data Science degree, or comparable hands-on project experience) with comfort reading code, working with data pipelines (e.g., Kafka, Spark), or debugging cloud infrastructure (AWS/GCP/Azure). - Distributed & Operational Rigor: Comfort working in a global, remote-first team aligned to SLA coverage, on-call needs, and async communication. For Langfuse & AI Observability: - LLM Tooling & Application Dev: Genuine curiosity for LLM application development with hands-on experience building, debugging, or evaluating LLM-powered products using frameworks like Python, TypeScript, LangChain, LlamaIndex, or Vercel AI SDK. - Tracing, Evals & Developer Tooling: Familiarity with LLM observability/eval tooling, prompt workflows, model provider APIs (OpenAI, Anthropic), or OpenTelemetry-style tracing to unblock AI-product teams. - Technical Support & Communication: Strong written communication across registers. You have concise Slack troubleshooting, clear long-form docs/guides, and a customer-first mindset to unblock engineers. Bonus Points - Experience with OSS and open-source technologies, as a user, community member, or contributor - Experience with ClickHouse - Experience with Langfuse specifically, or with LLM observability/eval tooling more broadly. - Experience with AWS, GCP, or Azure. - Experience with data pipeline technologies such as Kafka, Kinesis, Spark, or RabbitMQ. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as 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. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
GTM Engineer, AI & Automation
We are looking for a GTM Engineer to build the AI and automation that make ClickHouse's go-to-market motion faster, smarter, and more scalable. This is a builder role. You will design, build, and ship the systems, agents, and workflows that take manual work off the team and put usage and customer signals to work across the lifecycle. ClickHouse runs on a consumption model, where the returns from instrumenting and automating the customer journey are large and mostly uncaptured. This role exists to capture them. As part of the Revenue Operations team, you will work directly with Sales, Solutions Architecture, Marketing, and RevOps to find the highest-value opportunities and turn them into working systems. This is an individual contributor role for someone who wants to build, own what they ship, and set the standard for how AI shows up in our go-to-market. WHAT YOU'LL BE DOING - Design, build, and ship AI and automation across the GTM motion: prospecting and enrichment, lead routing and activation, outbound and follow-up, deal and technical sales support, and expansion and retention signals. - Build agents and workflows that run reliably at scale and take repetitive work off Sales, Solutions Architecture, and Marketing. - Instrument the customer lifecycle. Connect the GTM systems and data so usage and telemetry signals flow to the right place and trigger the right action automatically. - Partner with the field to find where AI and automation create real gains, and turn those opportunities into systems people actually use. - Own what you build end-to-end. Design it, deploy it, measure whether it moves a real number, and keep improving it. Stand up evals and monitoring so AI output stays reliable in production. - Set the standards and guardrails for AI in GTM: data quality, prompt and eval discipline, human review where it matters, and controls that keep automated actions safe. - Track the AI and automation tooling landscape and bring the best of it into how ClickHouse goes to market. WHAT YOU BRING ALONG - 5+ years building automation and tooling in a GTM, RevOps, or growth engineering context, with systems you have shipped and run in production. - Production experience with the GTM stack: Salesforce as the system of record, Gong and Gong Engage for conversation intelligence and sequencing, and the engineering layer beneath them: Vercel, Clay, n8n, enrichment providers, and both transactional and analytical databases (Postgres and ClickHouse). You have shipped and operated these in production at real scale. - Hands-on development in Python, TypeScript, and JavaScript. - Fluency with modern AI tooling: LLM APIs, agent and orchestration frameworks, prompting, evals, and retrieval with embeddings and vector search. You know how to get reliable behavior out of probabilistic systems, and you use eval and observability tooling like Langfuse to keep them reliable in production. - Strong data-activation skills: SQL, APIs, and integrations, transformation with dbt, and moving warehouse data into the GTM stack and back. - A builder who ships. You are comfortable owning something from idea to working system, and you measure it by whether it runs reliably and moves a real number. - Owner-operator mindset. You treat what you build as a system you own end-to-end: you build it, you run it, you fix it when it breaks, and you keep making it better. - Judgment about where AI and automation help and where they create risk. You know when to automate a workflow fully, when to keep a human in the loop, and when to leave a process alone. - Familiarity with usage-based or consumption-based business models is a plus. You understand how usage and telemetry signals drive expansion and retention. - Strong written and verbal communication. Comfortable partnering across the field and explaining what your systems do and why. - Bachelor's degree in engineering required. A master's degree is a plus. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as 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. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Database Research Scientist
ClickHouse Labs is an applied research group that works closely with engineering teams to identify challenging problems in database systems and develop novel solutions. Our goal is to advance the state of the art and translate research ideas into real-world system improvements. ABOUT THE ROLE As a Research Scientist at ClickHouse Labs, you will work on high-impact problems at the intersection of database systems, distributed systems, AI, and systems software engineering while collaborating with experienced researchers and engineers. The role covers a broad range of problems across database systems research and engineering, including but not limited to query optimization, execution engines, distributed systems, consensus protocols, materialized views, indexing and data structures, benchmarking, workload analysis, and emerging agentic workloads. In this role, you will work on leading open-source database systems (e.g., ClickHouse, PostgreSQL). You will investigate performance and scalability bottlenecks in production-quality systems, develop new algorithms and system designs, and evaluate them under realistic workloads and hardware configurations. Projects may involve improving query planning and execution, reducing CPU and memory overhead, increasing throughput and concurrency, scaling across distributed deployments, or redesigning system components to leverage modern hardware better. You will work closely with engineers to turn successful ideas into robust implementations that can be deployed and maintained in widely used open-source systems. Researchers are encouraged to publish their work, contribute to open-source projects, participate in leading research conferences, and pursue ambitious projects with strong engineering and research support. RESPONSIBILITIES - Conduct applied research aimed at advancing the performance, scalability, reliability, and functionality of open-source database management systems, including ClickHouse and PostgreSQL. - Design and evaluate new algorithms, data structures, and system architectures for areas such as query optimization, indexing, storage management, query execution, and distributed data management. - Develop high-quality research prototypes and production-grade implementations, and work with engineering teams to integrate successful techniques into open-source and production systems. - Collaborate closely with database engine, infrastructure, and data-plane engineers to identify high-impact research problems and translate research results into practical system improvements. - Analyze large-scale database workloads, performance traces, benchmarks, and production telemetry to identify bottlenecks and optimization opportunities. - Design rigorous experiments and benchmarks to evaluate new techniques across realistic workloads, hardware configurations, and deployment environments. - Communicate research results through technical reports, open-source contributions, internal presentations, and publications at leading database and systems venues (e.g., SIGMOD, VLDB, CIDR). - Contribute to the broader technical direction of ClickHouse Labs by identifying emerging research opportunities and helping shape longer-term research projects. QUALIFICATIONS MINIMUM QUALIFICATIONS - Masters/Ph.D. in Computer Science, Data Science, or a related field, with research experience in databases, distributed systems, systems software, or machine learning systems. - Strong publication record in leading peer-reviewed research venues such as SIGMOD, VLDB, SOSP, OSDI, NSDI, or NeurIPS, with work relevant to databases or systems. - Strong programming and systems-development background, including experience working with database internals or other large systems codebases such as PostgreSQL, MySQL, ClickHouse, or comparable modern DBMSs. - Proficiency in systems programming using C, C++, Rust, Zig, or a comparable low-level programming language. - Strong analytical, experimental, problem-solving, and technical communication skills. PREFERRED QUALIFICATIONS - Experience developing or operating database systems in cloud environments such as AWS, Google Cloud Platform, or Microsoft Azure. - Familiarity with large language models, reinforcement learning, learned optimization, or other techniques at the intersection of machine learning and systems. - Experience contributing to large open-source systems projects, particularly database engines, distributed systems, compilers, or storage systems. BONUS QUALIFICATIONS - Familiarity with modern systems-development and verification tooling, including formal specification or model-checking frameworks such as TLA+/PlusCal, Alloy, or Lean, as well as relevant development tools and languages such as LLVM, eBPF, Python, Go, or advanced profiling and debugging tools (e.g., perf, sanitizers, or tracing frameworks). - Proven track record in optimizing database systems via hardware acceleration (e.g., GPU, FPGA, CXL), with a focus on designing methods for offloading for query execution, storage layers, and data-intensive primitives using frameworks like CUDA, SYCL, ROCm, or specialized FPGA development flows. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as 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. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
AI Engineering Solutions Architect
ABOUT THE ROLE AI applications are being built faster than teams can monitor, debug, or trust them. ClickHouse recently acquired Langfuse — the leading open source LLM observability platform — making it a core part of the ClickHouse product stack. Together, ClickHouse and Langfuse offer engineering teams the most powerful combination in the market: real-time, high-performance analytics infrastructure paired with best-in-class LLM tracing, evaluation, and observability tooling. This role sits at the center of that combined story. We're looking for a Langfuse Solutions Architect who is already embedded in the AI observability ecosystem — someone who understands how engineering teams instrument and evaluate LLM applications, and can credibly represent the full ClickHouse + Langfuse platform to the teams that need it most. This is not a generalist SA role. You'll be our dedicated technical presence in the LLM observability space — opening doors through the Langfuse community, deepening relationships with AI engineering teams, and helping them get the most out of a platform that now spans from raw data infrastructure to production LLM monitoring. You'll work at the intersection of community, pre-sales, and technical advisory, and you'll be the person who makes the ClickHouse + Langfuse stack the obvious choice for teams building serious AI applications. WHAT YOU'LL BE DOING Pre-Sales & Technical Advisory - Lead technical evaluations with AI engineering teams considering ClickHouse as their observability data store, from initial architecture review through POC and production deployment - Engage directly with data engineers, ML engineers, and platform architects to understand their LLM application stack, trace volumes, evaluation workflows, and query patterns — and map those requirements to ClickHouse | Lanfguse capabilities - Work across all levels of customer organizations, from individual contributors building LLM pipelines to CTOs making infrastructure decisions - Design and deliver reference implementations, schema designs, and ingestion patterns optimized for LLM trace data at scale Pipeline & Revenue Contribution - Source and qualify pipeline directly through ecosystem relationships and community engagement — this role is expected to open doors, not just walk through them - Partner with ClickHouse AEs to progress and close opportunities within the AI and LLM observability segment - Advocate internally for product improvements and integration enhancements that strengthen the ClickHouse + Langfuse story Ecosystem & Community Presence - Serve as ClickHouse's primary technical voice in the Langfuse community — contributing to forums, engaging on GitHub, participating in events, and building authentic credibility with AI engineers and developers - Develop relationships with the Langfuse core team and ecosystem partners to identify joint GTM opportunities and integration improvements - Create technical content — blog posts, tutorials, reference architectures, and demo environments — that showcases ClickHouse| Langfuse as the analytics backbone for LLM observability workloads WHAT YOU BRING - Hands-on experience in the LLM observability or AI monitoring space — whether at a vendor or as a practitioner building and operating LLM applications in production - Technical depth in the modern AI stack — you're comfortable discussing prompt engineering, RAG architectures, evaluation frameworks, token economics, and the data infrastructure that supports them - Customer-facing experience — pre-sales, solutions engineering, developer advocacy, or technical account management. You've navigated technical conversations with real stakes and know how to build trust with engineering teams - Strong foundation in data infrastructure — experience with analytical databases, distributed systems, and cloud infrastructure. Familiarity with ClickHouse, Postgres, or columnar databases is a strong plus - Open source orientation — you understand how open source communities work, how developer trust is earned, and how to contribute authentically rather than just promote #LI-CL1 PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as 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. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Staff Software Engineer, Inference Cloud
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. About the Role We're hiring a Staff Engineer to own major areas of the architecture of our Inference Cloud Platform. This team owns the cloud layer behind our Inference Service, with responsibility for availability, latency, reliability, and global scale. This is a hands-on individual contributor role for an engineer who wants to work on the hardest distributed systems problems in the stack: multi-region traffic architecture, graceful degradation under bursty AI workloads, performance at high QPS, and the operating model for a platform that has to stay fast and available under load. You'll write code, lead key architectural decisions in your domain, debug production issues, and help shape technical direction across adjacent teams. If you're interested in building the next-generation architecture of a globally distributed inference platform, we'd like to talk. Responsibilities - Platform Direction. Help shape the technical direction for the Inference Cloud Platform, including multi-region topology, failure domains, service boundaries, and system evolution over time, and own the roadmap for major technical areas. - Core Cloud Systems. Design and build critical platform components such as service discovery, request routing, load balancing, caching, batching, and traffic management for AI inference workloads. - Reliability & Performance. Architect active-active systems with rapid failover, graceful degradation, and clear SLOs. Drive system-level improvements in latency, throughput, capacity efficiency, and resilience under unpredictable demand. - Traffic Control & Service Tiers. Define platform mechanisms for admission control, quota management, rate limiting, and differentiated quality of service across workload types and customer tiers. - Execution on Critical Paths. Write and review production code in the most important parts of the platform. Make high-consequence architectural decisions within your area and set the technical bar through design reviews, code reviews, and sound engineering judgment. - Production Leadership. Lead on the hardest production issues and cross-system bottlenecks. Drive observability, incident response, capacity planning, and post-incident improvement with a high standard for operational rigor. - Technical Influence. Partner with ML, Product, Infrastructure, and Platform teams to translate product and business requirements into scalable system designs, and drive alignment on shared technical decisions within your domain and adjacent platform surfaces. - Mentorship. Raise the effectiveness of senior engineers through design feedback, pairing, and clear technical standards. Skills & Qualifications - 8+ years of experience in software engineering, with substantial individual contributor experience building and operating large-scale distributed systems or cloud infrastructure. - Deep expertise in distributed systems architecture in cloud environments, including networking, compute orchestration, container platforms, and multi-region production services. - Strong track record of making sound architectural decisions for highly available, latency-sensitive systems at scale. - Experience optimizing latency, throughput, and efficiency in high-QPS systems. Experience with TTFT and tail-latency reduction is a strong plus. - Strong proficiency in backend or systems languages such as Go, C++, or Python, with the expectation that you can contribute production code directly. - Experience designing observability and reliability practices, including metrics, logging, tracing, alerting, incident response, and SLO-driven operations. - Ability to influence senior engineers and cross-functional partners through technical credibility, communication, and judgment, especially within your domain and adjacent systems. Preferred Skills & Qualifications - Experience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads. 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.
Sr./Staff TPM - Inference Capacity
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. ABOUT THE ROLE As demand for AI continues to accelerate, intelligent capacity management becomes one of the company's most strategic challenges. Every customer commitment, model launch, and infrastructure investment depends on making the right capacity decisions at the right time. We're looking for an experienced Technical Program Manager to lead capacity planning and fleet strategy for our Inference Service organization. This is a highly visible role working directly with Engineering, Product, Infrastructure, SRE, Operations, and executive leadership to maximize utilization of one of the world's most advanced AI inference fleets. WHAT YOU'LL OWN Capacity planning and forecasting. Build and maintain the 6 / 12 / 26-week rolling capacity model across every cluster. Work with product team to translate customer contracts and sales pipeline asks into capacity requirements. Forecast model replicas, system-hours, and spares by customer and by model. Reconcile against actuals weekly. Maintain the source-of-truth doc. New Datacenter Capacity bring-up. Collaborate with datacenter infrastructure and operations teams to support new datacenter bringup and ensure production readiness. Drive engineering efforts and related automation to ensure on-time and quality delivery. Allocation and cluster placement. Partner closely with the SRE and product team to run the weekly capacity review across different customers/models/clusters. Decide model placement and re-balancing: which customer tenants land where, which clusters absorb new launches, which freezes are in effect etc. Run the weekly capacity and utilization report for the Inference Service leadership. Post capacity allocation, drive downstream tasks w.r.t deploying models across the allocated capacity with SRE team. Drive capacity planning tool adoption. Partner with console engineering team to drive stakeholder adoption of the inhouse built capacity planning and allocation tool, including user acceptance testing, issue resolution, tracking changes, pilot testing and deployment. In general, Contribute to the continuous process improvement and development of internal capacity management tools. Incident tracking and postmortems. Proactively identify and mitigate capacity bottlenecks, risks, and dependencies. In case of any SLA drop due to capacity misallocations, drive related resolution and postmortem. KEY RESPONSIBILITIES - Run weekly capacity planning and daily capacity and deployment tracking with Engineering, product and operations team. Own fleet utilization reporting and forecasting - Drive capacity planning for new customer deployments and major model launches - Drive continuous improvement and stakeholder adoption of new capacity management platform - Drive org level strategic initiatives related to capacity expansion, improving fleet efficiency and maximizing effective utilization of available systems - Lead planning around major infrastructure events including but not limited to new customer commits, new model releases, change to DC/cluster architecture, etc. that impacts capacity and fleet utilization. Update capacity plans and forecasts accordingly. - Maintain Jira EPICs and Confluence pages related to capacity planning, reporting and change management to ensure execution transparency across teams QUALIFICATIONS - 5+ years of TPM, technical program management, or product operations experience in cloud infrastructure, large-scale ML serving, or hyperscaler capacity planning - Experience leading large cross-functional programs involving Engineering, Product, and Operations - Comfort with the inference serving stack: model replicas, batching, prefill/decode, KV cache, accelerator scheduling - Strong data fluency: SQL, Grafana, basic Python or Flux to pull your own numbers without waiting for an analyst - Track record of running a recurring cross-functional ritual involving senior engineers and LT - Direct experience with AI accelerator fleet operations such as Habana, TPU pods, Inferentia, Trainium 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.
Senior Staff AI Accelerator Performance 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. SENIOR STAFF AI ACCELERATOR PERFORMANCE ARCHITECT Wafer-scale computing creates a distinctive architecture space in which compute placement, memory capacity and bandwidth, communication, kernel execution and system-level behavior must be understood together. We are looking for a performance architect to guide the evolution of our next-generation AI systems. You will connect real workloads to architectural behavior, identify the bottlenecks that matter, quantify potential improvements and influence hardware and software roadmaps through rigorous performance analysis. This role is ideal for someone with deep knowledge of hardware architecture, developed through hardware, compiler, kernel or system-performance work, who enjoys operating at the intersection of applications, kernels, architecture and system performance. WHAT YOU’LL DO - Own and evolve performance models and modeling methodologies for next-generation accelerator and system architectures. - Build and extend analytical, simulation-based or trace-driven models across workloads, architectural features and product generations. - Analyze important AI workloads, from individual kernels through end-to-end inference and training execution, to determine where time, bandwidth, compute and capacity are spent. - Identify hardware and software bottlenecks and quantify opportunities to improve latency, throughput, utilization and energy efficiency. - Evaluate proposed architectural features and determine their expected performance return across representative workloads. - Study how models and kernels map onto the underlying compute, memory and communication architecture. - Partner with architecture, compiler, kernel, runtime and systems teams to evaluate alternative mappings and optimizations. - Develop workload projections and competitive performance analyses grounded in transparent assumptions. - Create concise recommendations that translate complex performance results into architectural and product decisions. - Improve modeling methodology, validation and correlation with RTL, emulation and silicon measurements. - Help define representative workloads, performance targets and success criteria for future products. WHAT WE’RE LOOKING FOR - 7+ years of experience in performance analysis, performance modeling or architecture exploration for CPUs, GPUs, AI accelerators or other high-performance computing systems. - Strong understanding of hardware architecture developed through hardware, compiler, kernel, runtime or system-performance work. - Experience developing analytical, simulation-based or trace-driven performance models using Python, C++ or similar environments. - Solid understanding of processor architecture, memory systems, interconnects, parallel execution and hardware resource constraints. - Ability to move between kernel-level behavior and end-to-end application or system performance. - Experience profiling workloads, forming performance hypotheses and validating them with quantitative evidence. - Understanding of how software mapping and programmability affect realized hardware performance. - Ability to communicate modeling assumptions, uncertainty, bottlenecks and recommendations clearly. - MS or PhD in Electrical Engineering, Computer Engineering, Computer Science or equivalent practical experience. PARTICULARLY RELEVANT EXPERIENCE - Performance analysis of transformer inference or training workloads. - Attention, GEMM/GEMV, collective communication, mixture-of-experts, quantization or memory-capacity-constrained execution. - Kernel optimization, compiler performance, runtime scheduling or distributed accelerator systems. - Model validation using RTL simulation, emulation, FPGA prototypes or silicon measurements. - Competitive analysis of AI accelerators and large-scale AI systems. ROLE FOCUS This is a performance and architecture role, not a production RTL-design position. You should be comfortable reasoning about microarchitecture and working with architecture, RTL and physical-design teams, but you will not be expected to own detailed microarchitecture specifications, production RTL implementation, synthesis closure or physical design. This role evaluates architectural features and recommends improvements; the AI Accelerator Architect owns the detailed feature definition and implementation-ready microarchitecture specification. Your primary deliverables are trusted models, workload insights, feature ROI and architectural recommendations. The base salary range for this position is $175,000 to $275,000 annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Senior Software Development Engineer in Test (SDET...
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. In AI infrastructure organization, simplifying large hardware deployments with push button, single pane of glass for observability/monitoring and software capabilities for build-in resiliency are some of the key focus areas. As senior software development engineer in Test, we are looking for a candidate who can make a big impact on how we test and validate thousands of nodes in large deployments to ensure the cluster is 99.999% reliable. Responsibilities - You will be hired to innovate and execute tests on cutting edge AI infrastructure. Be a thinker, define optimized test strategies and methodologies. - Cerebras is growing and innovating at a rapid pace and so is the ML community and AI models. Be a quick learner, adapt to new technologies, and bring your expertise. We are looking to hire a team with a diverse skill set. - Deep understanding of how large-scale distributed ML training and inference works. Build a strong understanding of how to break these large distributed systems challenge into smaller components that can be unit tested. - Automate first approach - In large scale deployment, automation drives efficiency and scalability. Aim for 100% automated tests to test all cluster features in areas of high availability, failure scenarios, performance, stress and security. - Champion cluster security, reliability for uptime of 99.9999% and ease of use with observability. - Test all components of AI cluster including but not limited to cluster software involving kubernetes, prometheus and grafana. Cluster hardware components like ML wafer scale accelerators, CPU runtime nodes, High speed swarmx interconnect, High speed data transfer of weights through memoryx interconnect. Qualifications - Bachelor's or master's degree in engineering in computer science, electrical, AI, data science or related field. - 5+ years of experience in testing one of areas like enterprise software, distributed systems, datacenter hardware and software. - Strong coding skills in one of the programming languages like python, golang and C/C++. - Strong debugging skills to debug issues in large distributed systems, hardware, and software. Experience with debugging tools like pdb, gdb, strace and network monitors. - Strong understanding of operating systems internals like memory management, file system working, security and performance. - Strong understanding of datacenter layout, device performance characteristics like Servers, Memory, BIOS, PCIe, networking and storage. - Experience with cloud technologies like AWS, kubernetes and dockers. Monitoring tools like grafana, prometheus is huge plus. - Understanding and experience of ML model training and inference is a huge plus. - Understand of ML hardware accelerators like GPU, custom accelerator ASIC is a huge plus. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Senior SDET, Inference Platform
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 looking for an Inference Platform SDET to join the Inference Service Quality team at Cerebras and work on the inference platform. This team sits at the intersection of distributed systems, cloud and cluster infrastructure, and the software stack that serves the world's fastest AI inference. In this role, you will own the quality and reliability of the infrastructure that deploys and runs the Cerebras Inference Platform — from CI/CD pipelines and Kubernetes-based deployments to ingress, load balancing, and service discovery. You will validate the platform both in cloud environments and on real Cerebras clusters, working side by side with the Inference Platform development team to catch issues before our customers do. This is an excellent opportunity for engineers who enjoy infrastructure, automation, and debugging across the full deployment stack, and who want to ensure that a platform serving inference at massive scale stays fast, reliable, and production-ready. Responsibilities - Design, build, and maintain test infrastructure and automation for deploying and validating the Cerebras Inference Platform. - Validate the platform across environments — from cloud-managed Kubernetes to deployments running on Cerebras hardware. - Test and verify deployment infrastructure including Kubernetes workloads, CI/CD pipelines, ingress and service discovery, NGINX, and load balancing. - Collaborate closely with the Inference Platform development team to ensure new features and platform capabilities ship reliably. - Investigate and debug complex issues spanning networking, orchestration, deployment, and distributed services. - Develop and maintain testbeds used to validate platform performance, scalability, and reliability. - Identify failure points, bottlenecks, and edge cases that impact platform stability and inference performance. - Contribute to test plans and validation strategies for new platform features and releases. - Improve observability, diagnostics, and debugging workflows across the inference platform stack. - Partner with engineering teams to ensure high-quality, production-ready releases of the Cerebras Inference Platform. Minimum Skills & Qualifications - 3+ years of experience in software engineering, QA/quality engineering, systems engineering, or infrastructure development. - Strong programming skills in Python and/or Go (experience with both is a plus). - Experience building automation tools, testing frameworks, or internal developer tooling. - Hands-on experience with CI/CD systems (e.g., Jenkins) - Experience debugging complex systems, distributed services, or networked infrastructure. - Familiarity with systems-level development, infrastructure tooling, or platform integration. - Strong problem-solving skills and the ability to investigate issues across multiple system and infrastructure layers. - Excellent communication and collaboration skills. - Experience mentoring junior engineers Preferred Skills - Hands-on experience with Kubernetes and container orchestration in a real production or staging environment. - Experience with cloud-managed Kubernetes such as Amazon EKS. - Experience with GitOps/deployment tooling (e.g., ArgoCD). - Familiarity with ingress controllers, service discovery, NGINX, and load balancing. - Experience with build systems such as Bazel. - Experience with cluster tooling and operations (e.g., k9s). - Exposure to performance debugging, profiling, or system observability tools. - Experience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads Location: Toronto / Sunnyvale Team: Inference Service Quality 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.
Senior Runtime Engineer
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. About The Role We are building the next generation of large-scale AI systems that power training and inference workloads at unprecedented scale and efficiency. You will design and develop high-performance distributed software that orchestrates massive compute and data pipelines across heterogeneous clusters. Your work will push the limits of concurrency, throughput, and scalability—enabling efficient execution of models at massive scale. This role sits at the intersection of systems engineering and machine learning performance, demanding both architectural depth and low-level implementation skills. You will help shape how models are executed and optimized end-to-end, from data ingestion to distributed execution, across cutting-edge hardware platforms. We’re hiring for runtime roles across both Training and Inference. Responsibilities - Design and implement distributed runtime components to efficiently manage large-scale execution workloads. - Develop and optimize high-performance data and communication pipelines that fully utilize CPU, memory, storage, and network resources. - Enable scalable execution across multiple compute nodes, ensuring high concurrency and minimal bottlenecks. - Collaborate closely with ML and compiler teams to integrate new model architectures, training regimes, and hardware-specific optimizations. - Diagnose and resolve complex performance issues across the software stack using profiling and instrumentation tools. - Contribute to overall system design, architecture reviews, and roadmap planning for large-scale AI workloads. Skills & Qualifications - 3+ years of experience developing high-performance or distributed system software. - Strong programming skills in C/C++, with expertise in multi-threading, memory management, and performance optimization. - Experience with distributed systems, networking, or inter-process communication. - Solid understanding of data structures, concurrency, and system-level resource management (CPU, I/O, and memory). - Proven ability to debug, profile, and optimize code across scales—from threads to clusters. - Bachelor’s, Master’s, or equivalent experience in Computer Science, Electrical Engineering, or related field. Preferred Skills & Qualifications - Familiarity with machine learning training or inference pipelines, especially distributed training and large-model scaling. - Exposure to Python and PyTorch, particularly in the context of model training or performance tuning. - Experience with compiler internals, custom hardware interfaces, or low-level protocol design. - Prior work on high-performance clusters, HPC systems, or custom hardware/software co-design. - Deep curiosity about how to unlock new levels of performance for large-scale AI workloads. 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.
Senior ASIC RTL Design Engineer, AI Hardware
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. About The Role: As a senior front-end design engineer, you will be a key part of the world-class team designing and developing the next generations of the Cerebras Wafer Scale Engine (WSE). This role requires deep expertise in RTL design and integration, with a strong focus on delivering high-performance, power-efficient, and scalable solutions. You will collaborate closely with the design verification, physical design, software and system teams to bring innovative semiconductor architectures from concept to production, addressing the unique challenges of building WSE systems. Responsibilities: - Drive all aspects of chip design, including Functional Specification, Micro-architecture, RTL development, Synthesis. - Work closely with PD team members for design closure to meet PPA goals. - Work closely with Design verification and DFT teams for achieving the best functional and test coverage. - Work with software and system teams to understand opportunities to deliver optimal performance and feature set for the product. - Debug silicon-level functional, timing, and power issues during bring up. - Requirements - Master’s degree in Computer Science, Electrical Engineering, or equivalent. - Can work in a hybrid work environment. - 8+ years of experience in delivering complex, high performance high quality RTL designs. - Experience with Front End Chip integration and third-party IP integration. - Demonstrated experience in high-performance computing, GPU/CPU designs, machine learning or related fields. - Proven track record of multiple silicon success. - Experience collaborating with external vendors. - Networking stack experience including TCP/IP, RDMA and Ethernet. - Knowledge of PCIe, CPU interfaces and Serdes technology. - Working knowledge of scripting tools : Python, TCL. Assets: - Experience with FPGA development toolchain, including Place and Route, Floor planning and Timing Analysis is a plus. - Experience managing external ASIC vendor through product development cycle. Location: Sunnyvale, CA (Open to Remote) The base salary range for this position is $200,000 to $290,000 annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Release Qualification Team Lead
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. ABOUT THE TEAM The Inference Service Quality team owns the confidence behind every release shipped across Cerebras Cloud, Inference Platform, and Inference API. We work closely with platform, infrastructure, ML systems, and product engineering teams to ensure that rapid iteration never comes at the expense of customer trust. Our environment spans distributed cloud systems, multi-region deployments, APIs, orchestration layers, and hardware-backed inference services. Release velocity is high and the systems grow more complex every quarter. We need a leader who can turn release qualification from an ad hoc, reactive scramble into a predictable, owned discipline that scales with the business. ABOUT THE ROLE As the Release Qualification Team Lead, you will be the accountable owner for weekly end-to-end release qualification on behalf of our org, establishing it as a first-class, owned discipline. You will build and run a purpose-built release qualification team with planned triage capacity and the depth of context needed to triage, debug, and confidently decide what unblocks a release. You will own the full release qualification lifecycle — test planning, release planning, documentation, and tooling — turning hard-won knowledge into organized, accessible practice. As the technical counterpart to the cross-org qualification team, you'll be the person who truly understands our tests and can speak for them. Success in this role depends on effective communication and close coordination across teams and time zones, keeping every stakeholder aligned through fast-moving release windows. A central part of your charter is expanding end-to-end coverage across Cloud, Inference Platform, and Inference API — qualifying the steady stream of new Cerebras models, the new APIs that support them, and new cloud features, and driving qualification all the way through as the systems grow. RESPONSIBILITIES - Drive weekly end-to-end release qualification as the accountable owner from our org. - Build and run a purpose-built release qualification team so triage capacity is planned, not scrambled — ensuring strong, predictable representation from our org rather than ad hoc pulls. - Own the full release qualification lifecycle: test planning, release planning, document - Own triage, debug, and escalation during release windows — including deciding what blocks a release and routing fixes to the right owners. - Drive expanded end-to-end coverage across Cloud, Inference Platform, and Inference API,e way through despite cross-org boundaries. - Partner with the cross-org release qualification team as the technical counterpart who actually understands our tests. - Distinguish real regressions from flakiness quickly, and keep a living record of what td who to escalate to. - Mentor engineers on triage, debugging practices, and qualification methodology. SKILLS & QUALIFICATIONS - 7+ years of relevant industry experience in software integration, development, or quality engineering, including prior release qualification experience. - Proven ownership of end-to-end release or qualification processes for complex, distribu - Strong track record of debugging complex issues across distributed, scaled-out deployments under release-blocking time pressure. - Deep expertise in automation and programming using one or more languages such as Pythongn and build reusable test frameworks from the ground up. - Demonstrated ability to lead cross-functional initiatives spanning multiple orgs, product development, product management, and field teams. - Sound judgment on coverage trade-offs, risk-based prioritization, and go/no-go release - Excellent verbal and written communication skills, with experience presenting technical findings to both engineering and leadership audiences. - Strong organizational skills, ownership mindset, and ability to drive projects to compl - Experience leading and mentoring engineers across geographically dispersed teams and time zones. PREFERRED SKILLS & QUALIFICATIONS - Hands-on experience with ML workloads including LLM and/or multimodal training or inference. - Experience designing test strategies for distributed systems, cloud infrastructure, and - Experience with microservices deployment, debugging, and orchestration at scale. - Familiarity with hardware-backed inference services and the trade-offs of hardware/soft - Prior experience building or significantly shaping a team's quality engineering culture or test infrastructure. 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.
Principal Engineer, Inference Cloud
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. About The Role We're hiring a Principal Engineer for our Inference Cloud Platform. This team owns the cloud layer behind our Inference Service, including availability, latency, reliability, and multi-region scale. This is one of the most senior IC roles on the team, for someone who can identify the highest-leverage platform problems, set direction across multiple teams, define long-term architecture, and write production code on critical paths. Many of the key decisions are ambiguous at the outset; you’ll need to frame the problem, make tradeoffs, and drive execution without a clear spec. The scope includes multi-region traffic architecture, graceful degradation under bursty AI workloads, high-QPS performance, and the operating model for a platform that needs to remain fast and available under changing demand. You'll partner closely with ML, Product and Infrastructure teams. Responsibilities - Problem Definition & Prioritization. Identify the most important technical problems for the platform, often before there's a clear ask. Make explicit tradeoff decisions about what the platform will and won't support, with reasoning that holds up under scrutiny from senior engineering leadership. - Platform Direction. Set the long-term technical direction for the Inference Cloud Platform, including multi-region topology, failure domains, service boundaries, and system evolution over time. - Reliability & Performance. Architect active-active systems with rapid failover and graceful degradation (circuit breaking, backpressure, load shedding) with clear SLOs. Drive improvements in latency, throughput, capacity efficiency, and resilience under unpredictable demand. - Code & Design Reviews. Contribute production code in critical paths, review designs and implementations, and make architectural decisions including build-vs-buy tradeoffs with long-term operational consequences. - Production Leadership. Lead on the hardest production issues and cross-system bottlenecks. Drive observability, incident response, capacity planning, and post-incident improvement with a high standard for operational rigor. - Technical Strategy Beyond Your Team. Drive platform-wide decisions across adjacent teams on reliability, API design, capacity planning, and deployment strategy through strong technical judgment. Translate product and business requirements into scalable system designs and drive alignment on shared infrastructure decisions. - Mentorship. Raise the quality of technical decision-making across teams through design feedback, pairing, and clear engineering standards. Skills & Qualifications - 10+ years of experience in software engineering, with substantial individual contributor experience building and operating large-scale distributed systems or cloud infrastructure. - Deep expertise in distributed systems architecture in cloud environments, including networking, compute orchestration, container platforms, and multi-region production services. - Strong track record of making sound architectural decisions for highly available, latency-sensitive systems at scale, demonstrated through systems you built directly. - Experience optimizing latency, throughput, and efficiency in high-QPS systems. Experience with TTFT and tail-latency reduction is a strong plus. - Strong proficiency in backend or systems languages such as Go, C++, or Python, with the expectation that you can contribute production code directly. - Experience designing observability and reliability practices, including metrics, logging, tracing, alerting, incident response, and SLI/SLO/SLA-driven operations. - Ability to influence senior engineers, technical leads, and cross-functional partners through technical credibility, communication, and judgment. - Experience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads is a plus. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
ML Systems Integration Engineer
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Responsibilities - Participate in bring-up of next-generation AI hardware systems and supporting software infrastructure. - Debug complex system-level issues spanning hardware and software interactions. - Investigate failures occurring during system bring-up and identify root causes using logs, telemetry, and diagnostic tools. - Build automation frameworks and internal tooling that improve system validation and debugging workflows. - Develop software used to test, validate, and stress distributed hardware systems during development and production cycles. - Collaborate closely with hardware engineers to isolate and resolve system integration issues. - Improve system observability by building tools that surface failures quickly and accelerate debugging. - Reproduce, triage, and diagnose difficult issues that arise during early hardware deployment. - Support validation and qualification of new hardware generations as systems move toward production readiness. - Continuously improve internal engineering workflows related to debugging, testing, and automation. Skills & Qualifications - BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related technical field. - Strong programming skills in Python and/or C++. - Excellent debugging and problem-solving skills with ability to investigate complex technical issues methodically. - Solid understanding of operating systems fundamentals (processes, threads, memory management, concurrency, IPC). - Experience working in Linux development environments. - Understanding of computer architecture and interactions between hardware and software systems. - Strong analytical thinking and ability to break down complex system failures into actionable root causes. - Ability to work effectively across multiple engineering teams and collaborate in highly technical environments. - Strong communication skills and willingness to work on ambiguous technical problems. Preferred Skills & Qualifications - Experience building automation frameworks, internal tooling, or test infrastructure - Familiarity with distributed systems concepts - Experience debugging large-scale systems or complex infrastructure environments - Understanding of networking fundamentals and communication between distributed systems - Experience working with hardware-adjacent software or system integration environments - Familiarity with performance analysis, system telemetry, and log analysis - Exposure to production systems validation or infrastructure reliability engineering Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
CoDesign & NextGen Performance Engineer
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. About The Role This role focuses on characterizing, analyzing, and optimizing the performance of state-of-the-art AI models running on Cerebras’ breakthrough hardware. You will work across the hardware and software stack to identify bottlenecks, improve computational efficiency, and help influence the design of Cerebras’ next-generation AI architecture and software systems. Responsibilities - Bring up and optimize performance on new generations of the Cerebras WSE. - Build performance models (kernel-level, end-to-end) to estimate the performance of state of the art and customer ML models. - Optimize and debug our kernel micro code and compiler algorithms to elevate ML model inference speed, throughput and compute utilization on the Cerebras WSE. - Debug and understand runtime performance on the system and cluster. - Develop tools and infrastructure to help visualize performance data collected from the Wafer Scale Engine and our compute cluster. Skills & Qualifications - Bachelors / Masters / PhD in Electrical Engineering or Computer Science. Strong background in computer architecture. - Exposure to and understanding of low-level deep learning / LLM math. - Strong analytical and problem-solving mindset. - 3+ years of experience in a relevant domain (Computer Architecture, CPU/GPU Performance, Kernel Optimization, HPC). - Experience working on CPU/GPU simulators. - Exposure to performance profiling and debug on any system pipeline. - Comfort with C++ and Python. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Forward Deployed Engineer (India)
ABOUT CARTESIA Our mission is to architect AI that learns from and interacts with the world like humans do. We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI. ABOUT THE ROLE We’re hiring a Forward Deployed Engineer to advance our mission of building real-time multimodal intelligence by embedding directly with enterprise customers and delivering agentic voice AI solutions into their production environments. FDEs maximize customer success and revenue by turning Cartesia’s core product into deployed, high-impact solutions. YOUR IMPACT - Write and ship production-grade code – Design, build, and deploy voice AI systems that power real enterprise workflows. - Own deployments end-to-end – Lead discovery, architecture, implementation, and rollout for strategic customer engagements. Drive progress in ambiguity – Move projects forward when requirements are incomplete, constraints evolve, or systems fail in unexpected ways. - Deliver across complex infrastructure – Deploy across cloud, VPC, and on-prem environments while navigating security, networking, and compliance requirements. - Unblock critical integrations – Diagnose and resolve integration failures, performance bottlenecks, and deployment issues under real-world constraints. - Drive expansion through building – Identify new use cases and prototype solutions that deepen adoption and increase long-term customer value. - Turn customer signal into platform leverage – Surface recurring patterns to engineering and product teams, influencing roadmap and reusable capabilities. - Build for scale – Transform one-off solutions into repeatable playbooks, templates, and reference architectures. WHAT YOU BRING - 4+ years of experience building and operating production software systems - Strong backend engineering fundamentals and a track record of delivering reliable systems - Experience integrating APIs and distributed services into real-world infrastructure - Comfort operating across cloud and containerized environments (AWS, GCP, Kubernetes) - Experience navigating enterprise constraints: authentication, networking, observability, and security reviews - Ability to take ambiguous problems, define structure, and drive them to resolution - High ownership and bias for action — you move quickly without waiting for perfect specs - Clear, structured communicator comfortable engaging with senior technical stakeholders NICE-TO-HAVES - Experience in forward-deployed, solutions, implementation, or customer-facing engineering roles - Experience deploying AI/ML systems into production environments - Familiarity with real-time systems (voice, streaming APIs, telephony, low-latency systems) - Experience with on-prem or hybrid infrastructure deployments - Multilingual fluency or experience supporting customers across international markets and non-English language deployments. - Startup or founder experience 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.
Enterprise Engineer
ABOUT CARTESIA Our mission is to architect AI that learns from and interacts with the world like humans do. We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI. ABOUT THE ROLE We’re hiring an Enterprise Engineer to advance our mission of building real-time multimodal intelligence by delivering agentic voice AI solutions directly into production for our customers. YOUR IMPACT - Architect and build enterprise-grade systems such as On Prem Deployments & Agent Infrastructure - Own the design and delivery of durable, first-class platform capabilities shaped by enterprise needs — the abstractions, core changes, and infrastructure that Cartesia's largest customers build on top of - Turn recurring patterns from customer deployments (gaps, incident themes, eval results) from one-off workarounds into scalable, long-term platform primitives - Define and raise the bar for reliability, security, and operational maturity across Cartesia's enterprise surface area - You'll have significant ownership over the core capabilities that determine whether Cartesia can scale across the most demanding enterprise environments globally WHAT YOU BRING - Strong backend engineering fundamentals — you've designed and shipped infrastructure, platform services, or core abstractions that other teams build on top of - Proficiency in Go and/or Python - You think in terms of long-term maintainability and modularity - You’re good at collaborating cross-functionally and translating customer feedback into actionable product and platform improvements NICE-TO-HAVES - Experience with enterprise-grade concerns: deployment in customer-managed infrastructure (VPCs, on-prem), compliance regimes, observability, multi-tenancy, and security hardening 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.
Member of Technical Staff - VLM
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. Our models power the tools used by millions of creators, developers, and businesses worldwide, and FLUX is among the most advanced generative systems in the world. 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 Vision-language models are becoming foundational to how people interact with generative AI — but most VLM research happens in isolation from the generation stack. At Black Forest Labs, we're integrating VLMs directly into FLUX in ways that make our models more powerful, more controllable, and more aligned with what creators actually want. This role is about pioneering that integration. You won't be applying off-the-shelf VLMs — you'll develop novel approaches, innovate on architectures, and answer questions that haven't been solved yet: how vision and language representations inform each other, how multimodal understanding improves generation quality, and how to make these capabilities deployable at scale without compromising what makes FLUX exceptional. This is a Staff / Senior IC role. We're looking for someone who has pretrained or significantly advanced a VLM, not just fine-tuned one. WHAT YOU'LL WORK ON - Lead development and training of state-of-the-art multimodal vision-language models within the FLUX stack — innovating on architectures, not just applying existing ones - Design fine-tuning strategies that adapt VLMs to specialized creative use cases (captioning, editing instructions, prompt enhancement) that general-purpose models can't handle - Research integrations between VLM/LLM capabilities and our diffusion and flow pipelines — finding creative ways to improve generation quality and controllability without computational bottlenecks - Evaluate emerging multimodal architectures, translating the best of recent research into practical improvements WHAT WE'RE LOOKING FOR - You've pretrained or significantly advanced a VLM (not just SFT'd or LoRA'd one) that was deployed in a production system or released publicly - Strong publication record or unambiguous production track record showing you push the frontier on multimodal architectures - Deep understanding of how vision and language representations interact: tokenization, alignment, grounding, cross-modal attention, and the failure modes of each - Experience with distributed training at multi-node scale - Comfortable at the research/production boundary — you care whether the work ships and generalizes, not just whether it reads well - Experience with diffusion or flow-based generative models is a strong plus — especially if you've thought about how autoregressive and diffusion paradigms can compose 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 €130,000-€340,000 + Equity Note: Our recruitment process uses AI-assisted tools to help manage and organize applications. All hiring decisions are always made by our team.
Member of Technical Staff - Model Serving / API Ba...
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 research team moves fast. Models improve weekly. New capabilities emerge constantly. What slows us down is not model quality—it’s productionization. Without this role: - Research checkpoints sit longer before becoming usable APIs - Inference is slower than it needs to be - APIs struggle under load - Demos don’t reflect the true potential of our models This role removes the bottleneck between frontier research and production reality. Once hired, researchers ship faster, demos launch faster, and customers experience models at their best. What You’ll Work On You will own the bridge between research breakthroughs and production systems. - Turn research checkpoints into production-ready inference services - Design and maintain high-performance APIs serving millions of requests - Optimize inference latency and throughput across GPU infrastructure - Build scalable serving architectures that handle unpredictable traffic - Improve reliability, monitoring, and observability across model-serving systems - Prototype and ship demos that showcase new capabilities in days, not weeks - Collaborate closely with researchers to move from idea to live endpoint rapidly TOOLS & CONTEXT – MODEL SERVING & API INFRASTRUCTURE - Python, FastAPI, async systems - GPU infrastructure, CUDA, inference optimization - Docker and Kubernetes - Redis, Postgres, distributed task queues - Cloud platforms (AWS, GCP, or Azure) - Observability stacks (metrics, logging, tracing) This role spans backend systems, GPU performance, and production ML serving. WHAT WE’RE LOOKING FOR You’ve built and operated systems at meaningful scale. You understand the difference between a research prototype and a production system. You are comfortable navigating ambiguity, making tradeoffs, and improving systems under real-world constraints. You demonstrate: - Strong judgment around performance, reliability, and cost tradeoffs - Experience scaling APIs or ML systems under load - Comfort working in fast-moving, research-adjacent environments - Ownership from system design through debugging and deployment Role-specific experience we value: - Building and operating ML inference services in production - Designing scalable API architectures with async processing - Optimizing GPU workloads (batching, quantization, compilation, CUDA) - Managing distributed systems and task queues under variable load - Implementing monitoring and observability for production ML systems - Debugging performance bottlenecks across model, infrastructure, and network layers Bonus experience includes: - Real-time or low-latency inference systems - TensorRT, reduced precision, layer fusion, or model compilation techniques - Frontend demo tooling (Streamlit, Gradio, React) - CI/CD and automated testing for ML systems - Security best practices for API and model serving 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. Base Annual Salary: $180,000–$300,000 USD We're based in Europe and value depth over noise, collaboration over hero culture, and honest technical conversations over hype. Our models have been downloaded hundreds of millions of times, but we're still a ~50-person team learning what's possible at the edge of generative AI. Note: Our recruitment process uses AI-assisted tools to help manage and organize applications. All hiring decisions are always made by our team.
Developer Experience Engineer
ABOUT BLACK FOREST LABS We’re the team behind Latent Diffusion, Stable Diffusion, and FLUX—foundational technologies that changed how the world creates images and video. We’re creating the generative models that power how people make images and video—tools used by millions of creators, developers, and businesses worldwide. Our FLUX models are among the most advanced in the world, and we’re just getting started. Headquartered in Freiburg, Germany with a growing presence in San Francisco, we’re scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity. WHY THIS ROLE FLUX is the model developers want. BFL still has to become the platform they choose. In 2026 that platform is judged by a single question, asked by both humans and the agents acting on their behalf: how fast can I go from idea to a production-shaped call, and how good does it feel along the way? We're hiring one person to own that answer end-to-end. Not the SDK alone, not the dashboard alone, not the API alone — the whole developer experience, for both the humans building on BFL and the agents building on their behalf. You're the person on the team who breathes DevExp: spotting where the platform is friction for a developer or for an agent, deciding whether the fix lives in the API contract, the SDK, the console, the docs surface, the MCP server, or the onboarding flow — and then shipping it. You sit inside product engineering. You work shoulder-to-shoulder with the API/platform eng team (think: designing the next API revision), with research as new capabilities land, and with DevRel. Your job is to make BFL the platform that wins on developer experience, the way Stripe won payments and Vercel won frontends. WHAT YOU’LL WORK ON - Own DevExp as a product surface — wherever the bottleneck is, that's where you ship next. One sprint that might be the API contract, the next it's the dashboard onboarding, the next it's an MCP server, the next it's a Python SDK abstraction - Partner with platform engineering on API design before it ships, not after — bring the developer-and-agent perspective into the room when the contract is being decided - Work with product engineering on the developer-facing surfaces of the dashboard — playground, API keys, usage, request inspectors, webhook debugging — bringing the DevExp lens to features the rest of the team is already shipping - Make BFL the best visual AI platform for agents to use. Own the MCP server, skills, agent onboarding paths, and the machine-readable surfaces of the platform. Design the reference patterns and SDK primitives developers reach for when building agentic workflows on FLUX. Stress-test every API and SDK change against "would Claude / GPT / an autonomous agent get this right on the first try?" — and treat agents as a first-class user across the whole product (errors an LLM can recover from, capabilities discoverable without a human reading docs, audit trails that make sense when most of the traffic on an account isn't a person). - Own the portfolio of entry points developers and agents reach for — SDKs (Python, TypeScript, more on demand), MCP server, skills, OpenAPI / typed surfaces — and treat them as a portfolio, not a hierarchy. SDKs add composable workflows and sane defaults for async / polling / retries; MCP and skills make BFL trivially usable from any agent loop. DevRel and the Creative Technologist team partner on examples, content, and showcase work on top of these surfaces — you own the surfaces themselves. - Partner with the Growth engineer and Product on the developer funnel — signup → first key → first call → first production call → repeat — and own the DevExp fixes for the cliffs they surface - Be opinionated. Versioning, error formats, breaking change policy, idempotency, naming — you have takes and you can defend them. The bar is Stripe: an API and SDK so well-designed the docs almost feel unnecessary. WHAT WE’RE LOOKING FOR - 4+ years building software, with meaningful time on developer-facing products — SDKs, APIs, dashboards, consoles, platforms developers actually use - Full-stack comfortable. TypeScript / React / Next on the front, Python (and ideally Go or Rust) on the back. You don't need a separate person to wire the two halves of a feature together. - Deep instincts on API design — you have opinions about error formats, pagination, async job shapes, breaking changes, and you've lived with the consequences of bad ones - Fluent in the 2026 agent stack — MCP, tool use, the major agent runtimes — and you know what breaks when an LLM is the one reading your error message or browsing your API - You've shipped developer-facing product that real external developers depend on. Not internal tooling. - You ship. This is product engineering, not product management with an IDE open. NICE TO HAVE - Background at a developer platform where DevExp was a top-level metric (Stripe, Vercel, Cloudflare, Modal, Replicate, Resend, Linear, Anthropic platform, etc.) - You've built or meaningfully contributed to an MCP server real users / agents rely on - Experience with media-generation or other high-latency, async, job-shaped APIs — and the UX puzzles that come with them (polling, webhooks, partial results, cost surprises) - A public surface — OSS, a writeup, a dashboard you're proud of — that lets us see your taste before the interview 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 €140,000 - €190,000 + Equity Note: Our recruitment process uses AI-assisted tools to help manage and organize applications. All hiring decisions are always made by our team.
Software Engineer - Partner Platform
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE The AI ecosystem is being built by many companies at once: model labs creating increasingly capable models, hyperscalers providing infrastructure and distribution, developers building new AI products, and a growing ecosystem of tools that agents can use. Baseten sits at the center of that ecosystem as the inference platform developers use to run AI in production. Partner Engineering is how we connect those worlds. As one of the first engineers focused on Partner Engineering at Baseten, you'll build the technical foundation behind some of our most strategic relationships. You'll work directly with engineers at leading model labs, hyperscalers, developer platforms, and AI infrastructure companies to turn partnerships into products developers can actually use. You don't need a previous partner engineering title. We want an engineer who enjoys working directly with another company's technical team and carrying the resulting product decisions into production at Baseten. WHAT YOU'LL BUILD - Bring new capabilities into Baseten. Integrate a search or developer-tools provider into Baseten so an agent can call the service during inference, with consistent authentication, execution, failure handling, observability, and usage reporting. - Take Baseten into new distribution channels. Integrate Baseten with a hyperscaler, cloud marketplace, or developer platform so customers can discover models, provision access, and run inference through a partner's product while Baseten handles the underlying serving infrastructure. - Launch models with leading model labs. Build the infrastructure that lets developers discover and run a model lab's newest models on Baseten, including access controls, usage attribution, metering, and the systems required to support commercial agreements such as revenue sharing. - Create the partner platform itself. Identify the primitives common across these integrations and turn them into reusable platform capabilities so we can launch increasingly sophisticated partnerships without reinventing the stack every time. WHAT YOU'LL OWN - Lead strategic partner integrations from technical discovery and architecture through implementation, launch, and production operation. - Work directly with partner engineering teams to design APIs, define system boundaries, resolve cross-company dependencies, and make architectural decisions. - Write substantial production code and own the systems you build. - Build reusable partner-platform primitives across identity, provisioning, inference, model serving, metering, billing, and other Baseten platform capabilities. - Own technical delivery across Baseten and partner teams, including milestones, dependencies, risks, and architectural tradeoffs. - Work closely with Partnerships and Product to understand where the ecosystem is going and translate emerging opportunities into platform investments. - Raise the bar for integration reliability through strong API contracts, testing, observability, safe rollouts, and thoughtful failure handling. - Help define what Partner Engineering becomes at Baseten as both the team and our ecosystem grow. REQUIREMENTS - Experience designing, shipping, and operating large-scale distributed systems in production. You can explain the architectural choices you made and how they meet customers' needs at scale. - A record of leading ambiguous engineering projects across teams while contributing substantial production code yourself. - Sound judgment about API design, service boundaries, and failure handling. You've built systems that uphold API contracts and meet measurable service-level objectives that customers and partners depend on. - Experience turning requests from customers, partners, or other engineering teams into a defined technical scope. You can explain a constraint, propose an alternative, and document the decision. - Comfort working across application code and cloud infrastructure, including debugging behavior that crosses service boundaries. NICE TO HAVE - Product integrations with cloud providers, developer platforms, or other infrastructure companies. - Usage metering, marketplace infrastructure, or commerce systems that support relationships among multiple parties. - Model serving or other artificial intelligence (AI) infrastructure used in production. 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 - Identity & Authorization
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE The largest, most demanding enterprises run on Baseten, and they bring exacting requirements for how people, services, and agents access the platform. This is the founding role for our identity and authorization team within enterprise engineering. You'll own the identity and access layer of the Baseten platform: the authorization model, credential systems, and admin experiences that enterprise IT teams use to govern access for organizations like Harvey, HubSpot, and Notion. You'll design and build Baseten's fine-grained authorization system from the ground up to support the workflows customers depend on today while giving them cleaner, more precise ways to manage access as the platform grows. Authorization at Baseten requires low-latency permission checks at high request volume, consistent contracts and behaviors across the product suite, and strong security guarantees for mission-critical, highly regulated workloads. EXAMPLE INITIATIVES Recent and upcoming work in this area: - Fine-grained authorization for users, service accounts, and agentic workloads: per-resource permissions at the organization, team, and workload scope to support both common workflows and complex enterprise access policies - Programmatic authentication allowing high-compliance customers to connect service principles securely via short-lived, workload-based credentials - Agent credentials that grant an agent exactly the access it needs for the given task and nothing more - Enterprise identity lifecycle including single sign-on, SCIM provisioning, and per-organization session expiry policies - Admin controls for centralized visibility, auditability, and governance over credentials, roles, and access RESPONSIBILITIES - Lead identity and authorization projects from problem definition and technical design through implementation, launch, and iteration. - Design authorization and credential models that support critical user workflows today and can be safely extended as the platform evolves. - Partner with product, design, and customer-facing teams to turn enterprise security requirements into durable technical solutions. - Establish engineering practices for quality, security, observability, and operational ownership. - Provide technical leadership and mentorship as the team grows. REQUIREMENTS - 4-5+ years of experience building production backend systems, including hands-on design and implementation of a product authorization system: per-resource or per-object permissions, relationship-based access control, a policy engine, or a fine-grained authorization system in the style of Zanzibar, OpenFGA, SpiceDB, or Cedar. - Demonstrated end-to-end ownership: you've taken a system from first design through implementation, production rollout, and iteration with users. - Experience developing and operating multi-tenant systems at scale, where authorization checks sit in the request path and latency and consistency matter. - Comfort working across the full stack, from product and application code to cloud and Kubernetes infrastructure. NICE TO HAVE - Experience with Python and Go. - Experience running an OpenFGA, SpiceDB, or similar deployment in production, beyond a proof of concept. - Working knowledge of OAuth, OIDC, and SCIM at the protocol level. 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 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 Our Sales and Solutions teams navigate hard technical conversations spanning inference performance, GPU economics, latency budgets, deployment shape. As Baseten’s platform matures, we need a dedicated owner to translate launch velocity into field readiness. As our first Product Enablement Lead, you'll sit between Product, Marketing, and Sales GTM and own how Baseten's products, features, campaigns, and market moments like the launch of GLM-5.2 https://www.baseten.co/blog/how-we-built-the-worlds-fastest-api-for-glm-52/ or Kimi K3 https://www.baseten.co/blog/making-kimi-k3-tokenization-18x-faster-for-million-token-agentic-workloads/ or the sudden evolution of Tokenomics https://newsletter.semianalysis.com/p/tokenbudgeting-our-conversations as a discipline get translated into field execution. You will own how these launches land with the field, how AEs and SAs stay credible on a highly dynamic technical ecosystem, and how what the field hears from customers makes it back to Product. This is a hands-on individual contributor role. You are the bridge between product, marketing, and sales. You'll build the system and run it, which includes cross-functional program leadership, direct training and enablement of in-seat reps, and content and curriculum development for managers, sellers, and new hires. Success here will depend on your ability to build repeatable systems and rhythms and to partner across the business and with your enablement colleagues to ensure alignment and speed of execution. RESPONSIBILITIES - Own launch readiness: partner with Product and Marketing on positioning, write internal launch comms, and run readiness sessions so AEs and SAs can sell new products on day one. - Build and deliver technical enablement that makes the field credible on inference, GPUs, latency, and deployment. Raise the floor for AEs; give SAs the depth they need. - Produce the customer-facing collateral that comes out of this work: decks, battlecards, and demos that hold up in front of an engineer. - Build repeatable systems, not just content, so enablement keeps pace with the product roadmap. - Own the Product Feedback system from customers and the field back to Product and Marketing. Help identify what is resonating with customers and what isn't, in order to shape positioning, packaging, and roadmap. - Define and report on how we know enablement is working (ramp time, adoption of new products in deals, win rate on launches). REQUIREMENTS - 5+ years in product enablement, GTM enablement, field enablement, or product marketing at an infrastructure, developer tools, or AI-native company. - Experience enabling an internal sales field (AEs, SAs), as opposed to onboarding customers' engineers. - Technical depth: a CS or engineering background, prior SE/SA experience, or a track record of building demos and technical content yourself. You can hold your own in a conversation about model serving. - Hands-on track record. You have personally written the collateral and run the sessions, and can point to programs, talks, docs, or certifications you built. - Systems mindset: you think in repeatable workflows, not one-off deliverables, and you're comfortable defining success and measuring it. - Comfortable operating in ambiguity as the first hire in a function. - You actively use AI tools to drive your own productivity - in how you draft content, translate technical detail for different audiences, and accelerate your work. - Based in the SF Bay Area or willing to relocate. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
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