At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

You will lead a team of talented engineers responsible for building a resilient infrastructure to prevent payment related Fraud at Cloudflare. You will oversee the development of scalable processes and tools that handle everything related to protecting Cloudflare's revenue. Your work will directly support billions in revenue and millions of customers while enabling new product launches and monetization motions across Cloudflare.

This role is an opportunity to make a lasting impact at the intersection of financial infrastructure and distributed systems. You will help shape the future of Cloudflare, ensuring it can support the company's rapid growth and evolving product ecosystem.

Responsibilities

• Lead a team of talented engineers responsible for building a resilient infrastructure to prevent payment related Fraud at Cloudflare
• Oversee the development of scalable processes and tools that handle everything related to protecting Cloudflare's revenue
• Collaborate closely with product, engineering, finance, data science, operations and support departments to align technical decisions with business objectives
• Drive the execution of complex technical initiatives, ensuring our architecture is resilient, scalable, and future-proof
• Grow and mentor a high-performing engineering team

Requirements

• Experience building out tooling that supports fraud prevention on self-serve purchasing motions and usage based products
• Experience leading a team or multiple teams of senior and staff engineers
• Experience working with cross-functional teams, driving alignment, and clearly creating and communicating technical direction for large cross-company efforts
• Led initiatives in partnership with data science teams to oversee the end-to-end development, training, and fine-tuning of machine learning models to meet specific business KPIs
• Comfortable building developer-loved APIs that scale
• Demonstrate a track record of leading a team including hiring, on-boarding, and professional development
• You inspire your team to reach higher
• You're as good as explaining 'why' as you are 'how'
• Experience implementing tools, process, internal instrumentation, methodologies and resolving blockages
• Comfortable managing teams/projections with tight deadlines and short release cycles

Bonus Points

• Experience building enterprise grade, scaled and distributed systems
• Experience leading teams working on areas of financial infrastructure, payments, billing, and data infrastructure

Compensation

For New York City, Washington, Washington D.C. and California (excluding Bay Area) based hires: Estimated annual salary of $141,000 - $194,000

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here's the deal - we don't store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you'd like to be a part of? We'd love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.

We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

About the Team The Core Data team’s mission is building a centralized data platform for Cloudflare that provides secure, democratized access to data for internal customers throughout the company. We operate infrastructure and craft tools to empower both technical and non-technical users to answer their most important questions.

About the Role We are looking for an experienced systems engineer with a deep expertise in data to help us expand, mature and maintain our data infrastructure. You’ll lead technical architecture and implementation to scale our data platform, manage access seamlessly while accounting for privacy and security, create data pipelines and data products, and build tools to automate accessibility and usefulness of data.

Responsibilities

• Define, design and execute strategic technical architecture for highly visible, highly critical data infrastructure at the company.
• Lead the design and development tools and infrastructure to improve and scale our data infrastructure at Cloudflare.
• Lead the design and development of data pipelines and data products to serve customers throughout the company, including tools to automate delivery of those services.
• Become a subject matter expert across both our data platforms, tools and infrastructures as well as our data itself to guide and enable stakeholders with data needs.
• Work across our tech stack, which includes Kubernetes, Trino, Iceberg, Clickhouse, and PostgreSQL, with software built using Go, Javascript/Typescript, Python, and others.
• Mentor and support junior engineers on the team, reinforcing a culture of exceptional delivery and accountability on the team.

Requirements

• 8+ years of experience as a software engineer with a focus on designing, building and scaling data infrastructure
• Proven experience leading technical initiatives in a cross-functional context, working with multiple stakeholders and driving value delivery.
• Extensive experience with data infrastructure at scale, including tools like Trino, Spark, Iceberg/Delta Lake, Kafka, Clickhouse, PostgreSQL
• Background designing, building and debugging data pipelines at scale
• Proficient using backend languages like Go, Python, Typescript, and Rust, along with SQL
• Excellent analytical skills, with a focus on understanding data and how stakeholders use it to drive value
• Strong communication skills, especially around articulating technical concepts for technical and non-technical audiences

Desirable Skills

• Experience with data orchestration and infrastructure platforms like Airflow and DBT
• Experience deploying and managing infrastructure in Kubernetes
• Experience with data governance platforms and processes, with a focus on privacy and auditability
• Knowledge about machine learning models and MLOps

What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.

We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job.

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You'll act as the technical leader across our marketing and growth web surfaces. This is a cross-functional engineering leadership role, partnering with marketing, analytics, design, data science, and engineering teams , to ensure our web stack is modern, performant, measurable, and delightful to build on.

You'll operate with a high degree of autonomy and will be accountable for setting the long-term technical strategy for the team and executing against it.

As a senior technical leader, you will:

• Own and evolve the architecture of Intercom’s web stack.

• Define the long-term technical strategy for the web team, focusing on scalability, performance, developer productivity, observability, and system reliability.

• Collaborate closely with marketing, design, analytics, and data science stakeholders to ensure the platform supports their goals with accuracy, performance, and agility.

• Lead and influence the design and implementation of MarTech systems for event tracking, attribution, funnel reporting, A/B testing infrastructure, and more.

• Partner with engineers across web, infrastructure, and data to create a high-quality, cohesive technical ecosystem.

• Mentor and elevate engineers across the team and organisation , providing guidance on architecture, data modeling, system design, and engineering best practices.

• Set the standard for technical excellence in reliability, maintainability, code quality, and operational readiness.

• Provide technical leadership and insight to Engineering Managers, Product Managers, and executive stakeholders , communicating risks, trade-offs, and opportunities clearly.

• Contribute hands-on to the codebase , leading by example and helping unblock and accelerate key projects.

We’re looking for someone who brings deep technical expertise, cross-functional leadership, and strong domain knowledge in web systems. You should have:

• 12+ years of software engineering experience.

• Experience in a high-scale growth-focused web environment.

• A track record of technical leadership and influencing technical direction across multiple teams or departments.

• Deep familiarity with modern web stacks and infrastructure.

• Strong understanding of data infrastructure, including event instrumentation, and analytics tooling.

• Comfortable working in and supporting full-stack codebases , even if this role is not UI-heavy, a solid frontend architecture awareness is valued.

• Experience operating in continuous delivery environments with an emphasis on incremental, high-quality shipping.

• Exceptional communication skills and a history of collaborating with cross-functional teams (product, marketing, analytics, design, etc.)

• A mentorship mindset , proven ability to raise the bar for engineering excellence across a team or organization.

XML job scraping automation by YubHub

You'll act as the technical leader across our marketing and growth web surfaces. This is a cross-functional engineering leadership role, partnering with marketing, analytics, design, data science, and engineering teams , to ensure our web stack is modern, performant, measurable, and delightful to build on.

You'll operate with a high degree of autonomy and will be accountable for setting the long-term technical strategy for the team and executing against it.

As a senior technical leader, you will:

Own and evolve the architecture of Intercom’s web stack. Define the long-term technical strategy for the web team, focusing on scalability, performance, developer productivity, observability, and system reliability. Collaborate closely with marketing, design, analytics, and data science stakeholders to ensure the platform supports their goals with accuracy, performance, and agility. Lead and influence the design and implementation of MarTech systems for event tracking, attribution, funnel reporting, A/B testing infrastructure, and more. Partner with engineers across web, infrastructure, and data to create a high-quality, cohesive technical ecosystem. Mentor and elevate engineers across the team and organisation , providing guidance on architecture, data modeling, system design, and engineering best practices. Set the standard for technical excellence in reliability, maintainability, code quality, and operational readiness. Provide technical leadership and insight to Engineering Managers, Product Managers, and executive stakeholders , communicating risks, trade-offs, and opportunities clearly. Contribute hands-on to the codebase , leading by example and helping unblock and accelerate key projects.

We’re looking for someone who brings deep technical expertise, cross-functional leadership, and strong domain knowledge in web systems. You should have:

12+ years of software engineering experience. Experience in a high-scale growth-focused web environment. A track record of technical leadership and influencing technical direction across multiple teams or departments. Deep familiarity with modern web stacks and infrastructure. Strong understanding of data infrastructure, including event instrumentation, and analytics tooling. Comfortable working in and supporting full-stack codebases , even if this role is not UI-heavy, a solid frontend architecture awareness is valued. Experience operating in continuous delivery environments with an emphasis on incremental, high-quality shipping. Exceptional communication skills and a history of collaborating with cross-functional teams (product, marketing, analytics, design, etc.). A mentorship mindset , proven ability to raise the bar for engineering excellence across a team or organization.

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This role is responsible for architecting, building, and scaling the digital backbone that connects people, robots, and systems across our smart factories. This includes building out the teams digital asset management toolset, the IoT name space and devices, edge nodes for automated executable, and the cloud processing of this data.

The ideal candidate combines deep technical expertise in infrastructure, automation, and data systems with the ability to lead high-performing software and infrastructure teams. This person will play a critical role in enabling real-time data flow, automation, and coordination across all layers of the factory floor.

Technical Leadership & Strategy

• Lead and mentor a multidisciplinary team of software and infrastructure engineers building core Connected Factory services.
• Define system architectures that support smart manufacturing at scale, including edge computing, data pipelines, and API integrations between machines and enterprise systems.
• Partner with Automation, Manufacturing, and IT teams to ensure seamless integration between software, robotics, and operational technologies.

Infrastructure & Systems Development

• Design and deploy compute infra to support real-time data exchange across thousands of devices and sensors on the factory floor.
• Implement high-reliability networks, message brokers, and APIs that facilitate safe and secure communication between machines, humans, and cloud services.
• Develop tools and services that enable simulation, orchestration, and monitoring of production environments.

Smart Factory & Industry 4.0 Integration

• Ensure systems align with Industry 4.0 and IoT interoperability standards (e.g., OPC UA, MQTT).
• Oversee deployment of edge nodes, data collection systems, and digital twins that optimize throughput and predictive maintenance.
• Collaborate with automation and robotics teams to enable human-machine collaboration and efficient factory operations.

Operational Excellence & Collaboration

• Work closely with Manufacturing and Supply Chain to translate operational needs into scalable software solutions.
• Drive best practices in code quality, reliability, and observability across the FactoryOS stack.
• Champion a culture of ownership, continuous improvement, and technical excellence.

Required Qualifications

• 8+ years of experience in software or dev ops engineering, with at least 3 years in a technical leadership or management role.
• Proven experience building or supporting industrial or manufacturing systems, with strong knowledge of automation, controls, and factory networking.
• Expertise in data infrastructure, API design, IoT protocols, and edge computing architectures.
• Experience deploying and managing systems that bridge IT and OT domains, ensuring reliability, security, and scalability.
• Familiarity with robotic systems, industrial automation, and real-time data streaming technologies.
• Familiarity with data collection, processing, and reporting for factory infrastructure.
• Strong understanding of distributed systems, container orchestration (e.g., Kubernetes), and DevOps practices.

Salary

The salary range for this role is $220,000-$292,000 USD.

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a dynamic team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation.

Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.

Join us to be part of a pioneering company shaping the future of AI.

Together, we can make a meaningful impact.

Role Summary

Research Engineer, Data Infrastructure

The Data Infrastructure team at Mistral AI is architecting the backbone of our frontier model training and fine-tuning ecosystem. We are building the specialized compute and data fabrics required to power the development of world-class AI.

Our vision is to operate some of the largest compute fleets in production and build data lakes and metadata systems with a roadmap toward exabyte-scale architecture.

We are currently in the process of building a high-performance training platform designed for massive scale across both on-premise and cloud-native Kubernetes environments.

We are leading a strategic transition from legacy scheduling to modern orchestration.

With numerous clusters distributed across various regions, we are focussed on implementing sophisticated multi-cluster orchestration and cloud-bursting capabilities to better utilize our global resources and ensure our researchers have seamless access to compute wherever it resides.

Our mission is to evolve our current systems into a platform that is as durable as it is flexible.

Location: Paris / London (hybrid) or remote EU/UK with one hub day per month.

About the Role

This role focuses on building and operating the next generation of data infrastructure at Mistral AI.

You will be a core contributor to our evolution, helping us design and scale massive compute fleets and storage systems designed for high performance and scalability.

You will help us move toward a future of decoupled control and data planes, scaling big data compute and storage platforms while ensuring secure and governed data access for MLOps and research.

You will take full lifecycle ownership: from architecting the migration away from legacy orchestrators to implementing production-grade pipelines and participating in on-call rotations for critical training jobs.

In this role, you will:

• Build & Scale: Help us reach our goal of operating massive distributed compute and storage systems

• Global Orchestration: Architect and maintain multi-cluster orchestration layers to optimize workload placement across diverse hardware and regions.

• Design Future-Proof Storage: Architect our transition to modern storage formats to handle fine-tuning datasets at a scale that anticipates exabyte growth.

• Platform Engineering: Contribute to the development of our internal training platform, ensuring seamless model training and fine-tuning capabilities across Kubernetes and SLURM based environments.

• Metadata & Lineage: Implement and manage systems to provide clear visibility and lineage as our data and model pipelines grow in complexity.

• Operational Excellence: Use modern deployment workflows to manage cloud-native deployments, ensuring our data platform can scale by orders of magnitude while remaining reliable and efficient.

You might thrive in this role if you:

• Have 4+ years of experience in Data Infrastructure, MLOps, or Infrastructure Engineering.

• Have experience or a strong interest in supporting foundational compute and storage platforms.

• Are proficient in Python and enjoy solving the "brittle data lake" problem with modern, columnar storage standards.

• Are well-versed in Kubernetes-native tooling and excited to debug large-scale distributed systems across multi-cluster environments.

• Take pride in building and operating scalable, reliable, and secure systems from the ground up.

• Are comfortable with ambiguity and the challenges of building high-scale infrastructure in a rapid-growth AI environment.

Benefits

France

• Competitive cash salary and equity

• Food: Daily lunch vouchers

• Sport: Monthly contribution to a Gympass subscription

• Transportation: Monthly contribution to a mobility pass

• Health: Full health insurance for you and your family

• Parental: Generous parental leave policy

• Visa sponsorship

UK

• Competitive cash salary and equity

• Insurance

• Transportation: Reimburse office parking charges, or £90 per month for public transport

• Sport: £90 per month reimbursement for gym membership

• Meal voucher: £200 monthly allowance for meals

• Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)

XML job scraping automation by YubHub

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

Role Summary

This role focuses on building and operating the next generation of data infrastructure at Mistral AI. You will be a core contributor to our evolution, helping us design and scale massive compute fleets and storage systems designed for high performance and scalability. You will help us move toward a future of decoupled control and data planes, scaling big data compute and storage platforms while ensuring secure and governed data access for MLOps and research. You will take full lifecycle ownership: from architecting the migration away from legacy orchestrators to implementing production-grade pipelines and participating in on-call rotations for critical training jobs.

Responsibilities

• Build & Scale: Help us reach our goal of operating massive distributed compute and storage systems
• Global Orchestration: Architect and maintain multi-cluster orchestration layers to optimize workload placement across diverse hardware and regions.
• Design Future-Proof Storage: Architect our transition to modern storage formats to handle fine-tuning datasets at a scale that anticipates exabyte growth.
• Platform Engineering: Contribute to the development of our internal training platform, ensuring seamless model training and fine-tuning capabilities across Kubernetes and SLURM based environments.
• Metadata & Lineage: Implement and manage systems to provide clear visibility and lineage as our data and model pipelines grow in complexity.
• Operational Excellence: Use modern deployment workflows to manage cloud-native deployments, ensuring our data platform can scale by

About you

• Have 4+ years of experience in Data Infrastructure, MLOps, or Infrastructure Engineering.
• Have experience or a strong interest in supporting foundational compute and storage platforms.
• Are proficient in Python and enjoy solving the "brittle data lake" problem with modern, columnar storage standards.
• Are well-versed in Kubernetes-native tooling and excited to debug large-scale distributed systems across multi-cluster environments.
• Take pride in building and operating scalable, reliable, and secure systems from the ground up.
• Are comfortable with ambiguity and the challenges of building high-scale infrastructure in a rapid-growth AI environment.

What we offer

• Competitive salary and equity.
• Healthcare: Medical/Dental/Vision covered for you and your family.
• Pension: 401K (6% matching)
• PTO: 18 days
• Transportation: Reimburse office parking charges, or $120/month for public transport
• Sport: $120/month reimbursement for gym membership
• Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger)
• Visa sponsorship
• Coaching: we offer BetterUp coaching on a voluntary basis

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As a key member of our Engineering department, you will be responsible for owning the architecture, reliability, and cost efficiency of our cloud infrastructure, driving full IaC coverage and leading Kubernetes operations at scale.

You will also own data infrastructure operations, cost governance, and security hardening, partnering with Data Product Engineering on modernizing data delivery infrastructure.

In addition, you will lead security posture management across cloud, application, and identity layers, defining and instrumenting cost-per-unit metrics, implementing per-team budgets with automated alerting, and giving leadership direct visibility into infrastructure efficiency.

You will operate internal developer platforms with self-service onboarding, CI/CD, and observability infrastructure that improves engineering velocity.

You will also own incident response, on-call rotations, and post-mortem processes, driving reduction in preventable operational incidents and maintaining high availability SLAs.

Lastly, you will lead, recruit, and grow a globally distributed team of cloud, data, and security engineers, fostering a culture of ownership and technical excellence.

What you bring to Komodo Health:

• 8+ years in infrastructure, SRE, or platform engineering;
• 3+ years leading teams in an AI/ML-intensive environment;
• Hands-on experience with AI workload infrastructure , LLM serving, agent orchestration, GPU compute, or ML pipelines , and the reliability and cost challenges they introduce;
• Deep AWS and production Kubernetes expertise (EKS, autoscaling, multi-cluster management) and strong IaC discipline (Terraform or equivalent);
• Demonstrated track record of driving significant cloud cost reduction through systematic FinOps , team-level budgets, cost-per-unit metrics, and leadership-facing dashboards;
• Practical security and compliance experience , cloud posture management, vulnerability lifecycle, IAM, and SOC 2 or equivalent frameworks; comfort in regulated environments;
• Strong executive communication skills , able to translate infrastructure strategy into business outcomes for CTO, Finance, Legal, and Product stakeholders;
• Active user of AI tools in your own workflow; track record of driving AI-assisted automation adoption within your teams

AI Use Expectations:

• Use AI coding tools (Copilot, Cursor, Claude Code, or equivalent) to accelerate IaC authoring, runbook generation, and infrastructure automation;
• Leverage AI-assisted observability and incident triage to reduce MTTR and surface patterns across system telemetry;
• Evaluate and adopt AI-native DevOps tooling; set the standard for responsible AI use across the team

Additional skills and experience we’d prioritize (nice to have):

• Snowflake administration and data infrastructure experience at scale;
• Multi-cloud environment experience (AWS + GCP);
• Healthcare, life sciences, or regulated industry background;
• Experience with security automation or agentic security workflows;
• Familiarity with data pipeline technologies (Spark, Airflow, Temporal);
• Experience supporting multi-tenant SaaS infrastructure

The pay range for this role is $225,000-$270,000 USD per year, depending on location. This position may be eligible for performance-based bonuses and equity awards.

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Mistral AI is a pioneering company shaping the future of AI. We believe in the power of AI to simplify tasks, save time, and enhance learning and creativity.

Role Summary

This role focuses on building and operating the next generation of data infrastructure at Mistral AI. You will be a core contributor to our evolution, helping us design and scale massive compute fleets and storage systems designed for high performance and scalability. You will help us move toward a future of decoupled control and data planes, scaling big data compute and storage platforms while ensuring secure and governed data access for MLOps and research. You will take full lifecycle ownership: from architecting the migration away from legacy orchestrators to implementing production-grade pipelines and participating in on-call rotations for critical training jobs.

Responsibilities

• Build & Scale: Help us reach our goal of operating massive distributed compute and storage systems
• Global Orchestration: Architect and maintain multi-cluster orchestration layers to optimize workload placement across diverse hardware and regions.
• Design Future-Proof Storage: Architect our transition to modern storage formats to handle fine-tuning datasets at a scale that anticipates exabyte growth.
• Platform Engineering: Contribute to the development of our internal training platform, ensuring seamless model training and fine-tuning capabilities across Kubernetes and SLURM based environments.
• Metadata & Lineage: Implement and manage systems to provide clear visibility and lineage as our data and model pipelines grow in complexity.
• Operational Excellence: Use modern deployment workflows to manage cloud-native deployments, ensuring our data platform can scale by

About You

• Have 4+ years of experience in Data Infrastructure, MLOps, or Infrastructure Engineering.
• Have experience or a strong interest in supporting foundational compute and storage platforms.
• Are proficient in Python and enjoy solving the "brittle data lake" problem with modern, columnar storage standards.
• Are well-versed in Kubernetes-native tooling and excited to debug large-scale distributed systems across multi-cluster environments.
• Take pride in building and operating scalable, reliable, and secure systems from the ground up.
• Are comfortable with ambiguity and the challenges of building high-scale infrastructure in a rapid-growth AI environment.

What We Offer

• Competitive salary and equity.
• Healthcare: Medical/Dental/Vision covered for you and your family.
• Pension: 401K (6% matching).
• PTO: 18 days.
• Transportation: Reimburse office parking charges, or $120/month for public transport.
• Sport: $120/month reimbursement for gym membership.
• Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger).
• Visa sponsorship.
• Coaching: we offer BetterUp coaching on a voluntary basis.

XML job scraping automation by YubHub

Mistral AI is a pioneering company shaping the future of AI. We believe in the power of AI to simplify tasks, save time, and enhance learning and creativity.

Role Summary

The Data Infrastructure team at Mistral AI is architecting the backbone of our frontier model training and fine-tuning ecosystem. We are building the specialized compute and data fabrics required to power the development of world-class AI.

In this role, you will be a core contributor to our evolution, helping us design and scale massive compute fleets and storage systems designed for high performance and scalability. You will help us move toward a future of decoupled control and data planes, scaling big data compute and storage platforms while ensuring secure and governed data access for MLOps and research.

Responsibilities

• Build & Scale: Help us reach our goal of operating massive distributed compute and storage systems
• Global Orchestration: Architect and maintain multi-cluster orchestration layers to optimize workload placement across diverse hardware and regions.
• Design Future-Proof Storage: Architect our transition to modern storage formats to handle fine-tuning datasets at a scale that anticipates exabyte growth.
• Platform Engineering: Contribute to the development of our internal training platform, ensuring seamless model training and fine-tuning capabilities across Kubernetes and SLURM based environments.
• Metadata & Lineage: Implement and manage systems to provide clear visibility and lineage as our data and model pipelines grow in complexity.
• Operational Excellence: Use modern deployment workflows to manage cloud-native deployments, ensuring our data platform can scale by orders of magnitude while remaining reliable and efficient.

You might thrive in this role if you:

• Have 4+ years of experience in Data Infrastructure, MLOps, or Infrastructure Engineering.
• Have experience or a strong interest in supporting foundational compute and storage platforms.
• Are proficient in Python and enjoy solving the "brittle data lake" problem with modern, columnar storage standards.
• Are well-versed in Kubernetes-native tooling and excited to debug large-scale distributed systems across multi-cluster environments.
• Take pride in building and operating scalable, reliable, and secure systems from the ground up.
• Are comfortable with ambiguity and the challenges of building high-scale infrastructure in a rapid-growth AI environment.

Benefits

France

• Competitive cash salary and equity
• Food: Daily lunch vouchers
• Sport: Monthly contribution to a Gympass subscription
• Transportation: Monthly contribution to a mobility pass
• Health: Full health insurance for you and your family
• Parental: Generous parental leave policy

UK

• Competitive cash salary and equity
• Insurance
• Transportation: Reimburse office parking charges, or £90 per month for public transport
• Sport: £90 per month reimbursement for gym membership
• Meal voucher: £200 monthly allowance for meals
• Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Safety Systems team is in need of a Technical Program Manager to streamline our full safety stack and integration of various safety research and mitigations into ChatGPT and our API. This role is critical for driving safe deployment of our new models, synthesizing inputs from multiple stakeholders , ranging across research, product, engineering, legal, and policy , and ensuring all the risks are effectively and properly monitored, mitigated, or resolved.

About the Role

As a Safety Engineering TPM, you will be responsible for critical tasks ranging from tracking safety engineering progress and risk tables to overseeing critical data infrastructure programs, acting as the connective tissue to enhance the deployment of OpenAI’s safety system. Additionally, you will create and execute a compute roadmap for your team to ensure that our top priorities are resourced while taking advantage of new opportunities to make key safety infrastructure investments. Your primary focus will be to build a foundational layer to support the safety of all of our models and products.

Responsibilities

• Manage key risk areas and corresponding stakeholders.

• Work directly with safety engineers, engineering managers, and product managers to build common safety infrastructure.

• Manage data and compute infrastructure, including data residency and capacity planning.

• Design and run key internal programs, including incident management and processes for regularly updating our safety mitigations.

• Prioritize and manage a portfolio of infrastructure requests from other internal teams.

Requirements

• Have an undergraduate or graduate degree in computer science or computer engineering, or a demonstrated track record of engineering expertise.

• Have an extensive track record of successfully delivering high-profile, complex technical projects against tight deadlines.

• Are technically adept, and have effectively partnered with engineering and fundamental research teams of the highest caliber.

• Have expertise in designing and implementing simple, scalable processes that solve complex problems.

• Are relentlessly resourceful and thrive in ambiguous, fast-paced environments.

• Have strong knowledge of content integrity and moderation, including industry best practices and regulatory guidelines.

• Have exceptional written and verbal communication skills.

• Care about AGI safety.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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You'll own critical platform infrastructure supporting 70M+ users and scaling to hundreds of millions. This means architecting the core data model and storage systems powering Gamma's business, building real-time collaborative editing systems, high-volume event pipelines, and public APIs while driving technical strategy for databases, caching layers, distributed systems, and observability.

As a Staff Engineer on the Platform team, you'll define engineering standards and best practices across backend teams while mentoring engineers on system design, scalability patterns, and production excellence. You'll make critical build vs buy decisions, balance technical debt paydown with feature velocity, and collaborate with leadership to shape our multi-year platform roadmap.

What you'll do

• Architect and scale core platform systems including databases, caching layers, event pipelines, and public APIs for 70M+ users
• Lead major infrastructure initiatives: database migrations, architecture refactors, and performance optimization at scale
• Define engineering standards and best practices across backend teams
• Mentor engineers on system design, scalability patterns, and production excellence
• Make build-vs-buy decisions and balance technical debt paydown with feature velocity
• Collaborate with leadership to shape Gamma's multi-year platform roadmap

What you'll bring

• 7+ years of backend engineering experience with deep expertise in distributed systems and data infrastructure, and a proven track record of architecting systems that scaled through multiple orders of magnitude
• Expert-level proficiency in scalable APIs, databases (PostgreSQL, Redis), and event-driven architectures
• Experience with real-time systems such as collaborative editing, WebSockets, CRDTs, or similar conflict resolution approaches
• Strong operational chops: monitoring, alerting, incident response, and performance debugging at scale, with proficiency in backend technologies like Node.js, Python, or similar
• Product-minded technical judgment, with the ability to make decisions that unlock business value and user experience
• Experience building platform infrastructure at high-growth startups, or working with AI infrastructure or public API design (Nice to have)

Compensation range:

The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $230K - $310K plus benefits & equity.

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As we continue to grow, we need someone to create a single source of truth, standardize metrics, and make self-service analytics safe and reliable. This means designing systems that answer the vast majority of organisational questions on their own, while partnering with product, growth, marketing, and support teams to turn data into action.

This isn't a data-only role. You're a growth-minded analyst who thinks like a PM, curious about what moves metrics and eager to help others move faster. You'll work with modern AI and data infrastructure from day one, leveraging tools like Claude and Snowflake to make experimentation and reporting faster.

You'll run experiments on our core growth funnel, prototype AI-driven tools, and potentially build external analytics products for customers.

Our team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.

Responsibilities

Own key reports and dashboards that show the pulse of the business, redefining metrics like activation and retention

Standardize metrics and build systems so teams can self-serve reliable data from one source of truth

Collaborate with product, growth, marketing, and support teams to turn questions into insights and actionable systems

Lead metrics reviews with stakeholders and build ad-hoc reports for sales and GTM teams

Run experiments on our core growth funnel, exploring opportunities in churn reduction, pricing, and growth efficiency

Prototype AI-driven tools that make experimentation, reporting, and anomaly detection faster and smarter

Requirements

3–5 years of experience as a data analyst or analytics engineer, ideally at high-growth startups

Expert-level SQL skills and ability to work with large, complex datasets

Product sense and understanding of growth loops, with a track record of moving key metrics

AI-native mindset with experience leveraging AI tools to accelerate analysis and decision-making

Strong communication skills and comfort working cross-functionally, with the ability to educate and empower teams to be self-sufficient with data

Python experience, a past engineering background building internal tools, or hands-on experience with BI platforms like Metabase or Looker (Nice to have)

Compensation range: The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $125K - $200K plus benefits & equity.

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The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.

About the Team

We are looking for a passionate Product Manager to join Spotify’s Data Platform Studio. Data Platform’s mission is to enable the application of data in an intuitive and efficient way,helping Spotify extract value from data at scale.

Data Platform is responsible for how data is collected, processed, stored, governed, and made available to the thousands of engineers, data scientists, and analysts who build Spotify’s products. With AI agents increasingly writing data pipelines and powering personalization, this is one of the most consequential infrastructure domains at Spotify.

What You'll Do

• Understand the needs of Spotify’s data community,including engineers, analysts, data scientists, ML engineers, and AI agents,and prioritize the most impactful problems to solve

• Define and drive the strategy and roadmap for your product area, connecting it to the broader Platform and company strategy

• Evaluate solutions across build, buy, or partner approaches to improve how Spotify works with data

• Define success metrics and track adoption, creating a continuous loop of learning and iteration

• Collaborate closely with engineering, design, and data science to deliver intuitive, high-impact solutions

• Build strong relationships with internal teams to gather feedback and co-evolve tooling and capabilities

• Influence stakeholders across the studio and company to align on direction and priorities

• Stay current with trends in data platforms, analytics, and AI/ML tooling

Who You Are

• You have 2+ years of product management experience, ideally in data infrastructure, developer tools, or platform products

• You have a technical background, such as a degree in Computer Science/Engineering or prior hands-on engineering experience

• You are experienced in working with cross-functional teams across engineering, design, and data disciplines

• You know how to translate complex technical concepts into clear product direction and strategy

• You have a strong systems-thinking mindset and can connect workflows, platforms, and business needs

• You care deeply about the experience of people working with data and strive to make their workflows better

• You are curious about AI and excited about its impact on data ecosystems

• You communicate with clarity, bring people together, and build alignment across different audiences

Where You'll Be

• This role is based in London, Stockholm, or Toronto

• We offer you the flexibility to work where you work best! There will be some in-person meetings, but still allows for flexibility to work from home.

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Data Platform is responsible for how data is collected, processed, stored, governed, and made available to the thousands of engineers, data scientists, and analysts who build Spotify's products. With AI agents increasingly writing data pipelines and powering personalization, this is one of the most consequential infrastructure domains at Spotify.

As a Product Manager on the Data Platform team, you will be responsible for defining and driving the strategy and roadmap for your product area, connecting it to the broader Platform and company strategy. You will evaluate solutions across build, buy, or partner approaches to improve how Spotify works with data. You will define success metrics and track adoption, creating a continuous loop of learning and iteration.

Collaboration is key to success in this role. You will work closely with engineering, design, and data science to deliver intuitive, high-impact solutions. You will build strong relationships with internal teams to gather feedback and co-evolve tooling and capabilities. You will influence stakeholders across the studio and company to align on direction and priorities.

To be successful in this role, you will need to have a strong understanding of data platforms, analytics, and AI/ML tooling. You will need to be able to communicate complex technical concepts into clear product direction and strategy. You will need to have a strong systems-thinking mindset and be able to connect workflows, platforms, and business needs.

If you are passionate about data and want to join a team that is shaping the future of music streaming, please apply!

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The Economic Research team at Anthropic studies the economic implications of AI on individual, firm, and economy-wide outcomes. We build scalable systems to monitor AI usage patterns and directly measure the impact of AI adoption on real-world outcomes. We publish research and data that is clear-eyed about the economic effects of AI to help policymakers, businesses, and the public understand and navigate the transition to powerful AI.

In this role, you will work closely with teams across Anthropic,including Data Science and Analytics, Data Infrastructure, Societal Impacts, and Public Policy,to build scalable and robust data systems that support high-leverage, high-impact research. Strong candidates will have a track record building data processing pipelines, architecting & implementing high-quality internal infrastructure, working in a fast-paced startup environment, navigating ambiguity, and demonstrating an eagerness to develop their own research & technical skills.

Responsibilities:

• Build and maintain data pipelines that process large scale Claude usage logs into canonical, reusable datasets while maintaining user privacy.
• Expand privacy-preserving tools to enable new analytic functionality to support research needs.
• Design and implement novel data systems leveraging language models (e.g., CLIO) where traditional software engineering patterns don't yet exist.
• Develop and maintain data pipelines that are interoperable across data sources (including ingesting external data) and are designed to support economic analysis.
• Contribute to the strategic development of the economic research data foundations roadmap
• Ensure data reliability, integrity, and privacy compliance across all economic research data infrastructure
• Lead technical design discussions to ensure our infrastructure can support both current needs and future research directions
• Create documentation and best practices that enable self-serve data access for researchers while maintaining security and governance standards.
• Partner closely with researchers, data scientists, policy experts, and other cross-functional partners to advance Anthropic’s safety mission

You might be a good fit if you have:

• Experience working with Research Scientists and Economists on ambiguous AI and economic projects
• Experience with building and maintaining data infrastructure, large datasets, and internal tools in production environments.
• Experience with cloud infrastructure platforms such as AWS or GCP.
• Take pride in writing clean, well-documented code in Python that others can build upon
• Are comfortable making technical decisions with incomplete information while maintaining high engineering standards
• Are comfortable getting up-to-speed quickly on unfamiliar codebases, and can work well with other engineers with different backgrounds across the organization
• Have a track record of using technical infrastructure to interface effectively with machine learning models
• Have experience deriving insights from imperfect data streams
• Have experience building systems and products on top of LLMs
• Have experience incubating and maturing tooling platforms used by a wide variety of stakeholders
• A passion for Anthropic's mission of building helpful, honest, and harmless AI and understanding its economic implications.
• A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
• Strong communication skills to collaborate effectively with economists, researchers, and cross-functional partners who may have varying levels of technical expertise.

Strong candidates may have:

• Background in econometrics, statistics, or quantitative social science research
• Experience building data infrastructure and data foundations for research
• Familiarity with large language models, AI systems, or ML research workflows
• Prior work on projects related to labor economics, technology adoption, or economic measurement

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You'll serve as a cross-organizational thought leader - setting standards for technical excellence, mentoring senior engineers, and ensuring our systems and models meet the demands of global-scale deployment. This is a rare opportunity to influence both foundational AI infrastructure and the enterprise AI applications built on top of it.

Responsibilities:

• Define and drive the technical strategy for Scale's AI/ML infrastructure and SGP platform, balancing short and long-term investments.
• Partner with senior engineering and product leadership to ensure scalable, secure, and performant enterprise AI systems.
• Lead architecture and design reviews across multiple teams, ensuring technical consistency and innovation.
• Serve as a trusted advisor and mentor to principal engineers and technical leads across the organization.
• Evaluate and integrate emerging technologies in AI, distributed systems, and data infrastructure to keep Scale at the frontier of innovation.
• Represent Scale externally in the AI community - through speaking engagements, partnerships, and thought leadership.
• Drive technical execution and accountability for critical cross-functional initiatives that advance Scale's enterprise AI capabilities.

Qualifications:

• 15+ years of experience as a technical software engineering leader.
• Proven record of technical leadership at AI-native companies, hyperscalers, or equivalent high-scale environments.
• Deep technical expertise in AI/ML infrastructure, knowledge of ML models/algorithm design/implementation and their application to real-world problems; experience with GenAI preferred.
• Demonstrated success in setting technical vision and leading cross-organizational initiatives with measurable business impact.
• Experience influencing and mentoring engineering teams in complex, matrixed environments.
• Ability to communicate and collaborate effectively to create a shared sense of vision or purpose cross-team and cross-functionality.
• Advanced degree in Computer Science, Engineering, or related field preferred but not required.

Culture & Impact:

At Scale, we believe that AI should amplify human potential - and our engineering culture reflects that belief. Our teams operate at the intersection of innovation, rigor, and impact, solving some of the hardest problems in AI infrastructure and deployment.

The Distinguished Engineer will play a key role in shaping how AI systems are built, deployed, and governed within enterprise environments. This role represents the highest bar of technical excellence at Scale - a trusted voice in setting direction, enabling innovation, and ensuring that our technology scales responsibly and effectively to meet the evolving needs of our customers.

You’ll have the opportunity to influence company-wide strategy, contribute to industry-leading work in generative AI infrastructure, and mentor the next generation of engineering talent pushing the boundaries of what’s possible with AI.

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We're looking for entrepreneurial Software Engineers to join our Billing Platform team. In this role, you'll have the opportunity to drive the revenue tracking and billing system for our Generative AI products.

Responsibilities:

• Design, implement, and operate flexible and accurate financial systems
• Work across backend, frontend, and accounting-related systems
• Deliver at a high velocity and level of quality to engage our customers
• Work across the entire product lifecycle from conceptualization through production
• Be able, and willing, to multi-task and learn new technologies quickly
• Provide critical input in the Billing team’s roadmap and technical direction
• Work closely with cross-functional partners like finance, product, software engineers, and operations to identify opportunities for business impact, understand, refine and prioritize requirements for billing schemes and financial infrastructure.

Requirements:

• 5+ years of software engineering experience, ideally in high-growth, product-focused environments
• Proven track record of shipping production systems at scale
• Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability.
• Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling
• Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal
• Strong product sense and ability to translate ambiguous problems into technical solutions
• Comfortable working in a fast-paced, high-ownership environment with a bias toward execution
• Excited to join a dynamic hybrid team based in San Francisco or New York City

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.

We're the only company offering three integrated solutions for frontier AI development:

• Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale

• Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models

• Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling

Why Join Us

• High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.

• Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.

• Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.

• Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.

• Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.

Role Overview

We’re looking for a Full-Stack AI Engineer to join our team, where you’ll build the next generation of tools for developing, evaluating, and training state-of-the-art AI systems. You will own features end to end,from user-facing experiences and APIs to backend services, data models, and infrastructure.

You’ll be at the heart of our applied AI efforts, with a particular focus on human-in-the-loop systems used to generate high-quality training data for Large Language Models (LLMs) and AI agents. This includes building a platform that enables us and our customers to create and evaluate data, as well as systems that leverage LLMs to assist with reviewing, scoring, and improving human submissions.

Your Impact

• Own End-to-End Product Features

Design, build, and ship complete workflows spanning frontend UI, APIs, backend services, databases, and production infrastructure.

• Enable Human-in-the-Loop AI Training

Build systems that allow humans to efficiently create, review, and curate high-quality training and evaluation data used in AI model development.

• Support RLHF and Preference Data Workflows

Design and implement tooling that supports RLHF-style pipelines, including task generation, human review, scoring, aggregation, and dataset versioning.

• Leverage LLMs in the Review Loop

Build systems that use LLMs to assist human reviewers,such as automated checks, critiques, ranking suggestions, or quality signals,while maintaining human oversight.

• Advance AI Evaluation

Design and implement evaluation frameworks and interactive tools for LLMs and AI agents across multiple data modalities (text, images, audio, video).

• Create Intuitive, Reviewer-Focused Interfaces

Build thoughtful, efficient user interfaces (e.g., in React) optimized for high-throughput human review, quality control, and operational workflows.

• Architect Scalable Data & Service Layers

Design APIs, backend services, and data schemas that support large-scale data creation, review, and iteration with strong guarantees around correctness and traceability.

• Solve Ambiguous, Real-World Problems

Translate loosely defined operational and research needs into practical, scalable, end-to-end systems.

• Ensure System Reliability

Participate in on-call rotations to monitor, troubleshoot, and resolve issues across the full stack.

• Elevate the Team

Improve engineering practices, development processes, and documentation. Share knowledge through technical writing and design discussions.

What You Bring

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.

• 2+ years of experience in a software or machine learning engineering role.

• A proactive, product-focused mindset and a high degree of ownership, with a passion for building solutions that empower users.

• Experience using frontend frameworks like React/Redux and backend systems and technologies like Python, Java, GraphQL; familiarity with NodeJS and NestJS is a plus.

• Knowledge of designing and managing scalable database systems, including relational databases (e.g., PostgreSQL, MySQL), NoSQL stores (e.g., MongoDB, Cassandra), and cloud-native solutions (e.g., Google Spanner, AWS DynamoDB).

• Familiarity with cloud infrastructure like GCP (GCS, PubSub) and containerization (Kubernetes) is a plus.

• Excellent communication and collaboration skills.

• High proficiency in leveraging AI tools for daily development (e.g., Cursor, GitHub Copilot).

• Comfort and enthusiasm for working in a fast-paced, agile environment where rapid problem-solving is key.

Bonus Points

• Experience building tools for AI/ML applications, particularly for data annotation, monitoring, or agent evaluation.

• Familiarity with data infrastructure components such as data pipelines, streaming systems, and storage architectures (e.g., Cloud Buckets, Key-Value Stores).

• Previous experience with search engines (e.g., ElasticSearch).

• Experience in optimizing databases for performance (e.g., schema design, indexing, query tuning) and integrating them with broader data workflows.

Engineering at Labelbox

At Labelbox Engineering, we're building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We've cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems.

Our Technology Stack

Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:

• Frontend: React.js with Redux, TypeScript

• Backend: Node.js, TypeScript, Python, some Java & Kotlin

• APIs: GraphQL

• Cloud & Infrastructure: Google Cloud Platform (GCP), Kubernetes

• Databases: MySQL, Spanner, PostgreSQL

• Queueing / Streaming: Kafka, PubSub

Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.

Annual base salary range $130,000-$200,000 USD

Life at Labelbox

• Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland

• Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility

• Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making

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As you master our integration landscape, you'll have opportunities to expand into Claude-powered AI automation and data pipeline development.

You'll build the integration backbone for one of the fastest-growing AI companies, with a front-row seat to how Claude transforms financial operations. This is a foundational role where you'll shape our integration architecture from the ground up, then expand into cutting-edge AI automation as our needs evolve.

In this role, you will:

• Design, build, and maintain integrations connecting ERP systems with downstream applications, including ZipHQ, Brex, Navan, Clearwater, Payroll systems, Salesforce, and other critical financial platforms using Workato, MuleSoft, or similar iPaaS solutions.

• Support integration development and testing during the ERP implementation projects.

• Develop and maintain REST APIs, webhooks, and OAuth 2.0 authentication flows for secure system-to-system communication.

• Implement real-time and batch integration patterns supporting high-volume financial transactions.

• Establish monitoring, alerting, and error-handling frameworks to ensure integration reliability and data integrity.

• Document integration architectures, data flows, API specifications, and troubleshooting procedures.

• Collaborate with implementation consulting partners and vendors on technical integration requirements.

Additional scope includes AI automation and data infrastructure, including AI agent development, data pipeline support, governance, and collaboration.

You may be a good fit if you have 8+ years of experience in integration development, data engineering, or systems engineering roles, possess hands-on experience with iPaaS platforms, and have strong programming skills in Python and/or JavaScript/TypeScript.

Strong candidates may also have experience with high-growth technology companies, background in AI/ML companies, and hands-on experience with specific platforms, including Workday Financials, Stripe, Salesforce, Zuora RevPro, Zip Procurement, Clearwater treasury systems, Pigment planning tools, Numeric close management, and programming skills in Python/JavaScript.

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This role combines collaboration with hand-on work. You’ll partner with tech leads to set the technical direction for your team and own its execution. You should also be ready to go deep on system design and contribute directly when needed.

Responsibilities:

• Lead and grow a team of senior and staff-level engineers, setting clear expectations and maintaining a high bar for execution.

• Own architecture, system design, and long-term technical direction for your team's systems, with emphasis on reliability and performance.

• Contribute directly to design reviews, prototyping, and debugging critical issues.

• Partner with researchers and product teams to define roadmaps and prioritize work.

• Hire and close senior engineering talent. Mentor engineers into technical leaders.

Skills and Qualifications:

• Minimum qualifications:

• Bachelor’s degree or equivalent industry experience in computer science, engineering, or similar.

• 8+ years of experience building and scaling production systems, including system design and distributed systems.

• 3+ years of engineering management experience in high-growth environments.

• Preferred qualifications , we encourage you to apply even if you don’t meet all preferred qualifications, but at least some:

• Experience managing teams of senior or staff-level engineers.

• Background in infrastructure, systems engineering, or developer productivity.

• Familiarity with AI/ML systems, data infrastructure, or high-performance computing.

• Track record of building or contributing to widely used systems, platforms, or tools.

Logistics:

• Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $400,000 - $500,000 USD.

• Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.

• Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

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You will partner closely with Field Engineering (FE),who leads technical success,while you lead the commercial motions including renewal execution, usage-to-value alignment, growth pipeline creation, and multi-threaded stakeholder engagement.

This role requires comfort engaging highly technical personas (ML engineers, researchers, PhDs) and operating with autonomy in a rapidly evolving AI ecosystem; it is not a playbook-driven role.

Key responsibilities include:

• Owning renewals, upsells, and cross-sells across your assigned accounts.
• Building and maintaining detailed account plans including account maps, whitespace, usage trends, risks, and growth opportunities.
• Generating growth pipeline by identifying new use cases, teams, and product opportunities within existing accounts.

To be successful in this role, you will need to have a strong, genuine interest in AI/ML and the evolving machine learning ecosystem. You should also have high technical and product curiosity, be comfortable speaking with developers, ML engineers, and researchers, and have proven ability to drive growth motions (upsells, cross-sells) and manage retention in technical accounts.

Preferred qualifications include experience working with ML, MLOps, DevOps, or data infrastructure teams, familiarity with Git, Jupyter, Python, PyTorch, or cloud platforms (AWS, GCP, Azure), and exposure to AI-native companies, model builders, or generative AI workflows.

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Our team charts the paved path that all platform, infra, and product engineers rely upon to effectively monitor, investigate, and debug system health across Airbnb's wide-ranging tech stack. We partner closely with the rest of Reliability Engineering and Infrastructure while serving all engineers as customers.

As a Senior Backend (or Fullstack) Engineer, you will be partnering with Reliability, Platform, and Infrastructures teams and utilize your extensive knowledge of web technologies to lead and execute on building the paved path for Airbnb's current and future internal needs. Your primary objective will be to make it easier to understand what's happening in production and quickly triage bugs and outages.

Responsibilities:

• Collaborate with the Reliability Experience, Incident Management, Observability, and Resiliency teams to design and develop high-quality UX.
• Be an active contributor to your projects by creating high-quality, tested pull requests and reviewing other's designs and code.
• Build appropriate tests to ensure the reliability and performance of the software you create.
• Create and present your own design, product, and architecture documents and provide feedback on others.
• Stay up-to-date with the latest industry trends, technologies, and best practices in Web development and performance engineering, particularly in the Reliability and Observability space.

Requirements:

• 5+ years of industry engineering experience
• Experience building internal infrastructure, particularly in Data or Observability spaces (Prometheus is a plus)
• Strong collaboration with colleagues across multiple timezones
• Fluency in Java, Python or one objected-oriented language
• Experience with airbnb.io/visx/ is preferred but not required
• Experience with Grafana and similar solutions is preferred but not required
• Deep experience of understanding and solving engineering productivity pain points
• Solid engineering and coding skills. Demonstrated knowledge of practical data structures and asynchronous programming
• Strong communication and organizational skills
• Ability to work in areas outside of your usual comfort zone and show motivation for personal growth without a dedicated product manager
• Fluency in English (reading, writing, and speaking) is essential

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In this role, you will specialize in improving and optimizing our ads auction and pricing mechanism which will have a direct impact on upleveling the utility for both our advertiser and user values. You will also have the opportunity to work on other org-wide strategic initiatives such as supply optimization and ad relevance, where you will drive and execute on Reddit’s vision to transform Reddit into an advertising platform that shows the right ads to the right users at the right time in the right context.

As a Staff Machine Learning Engineer in the Ads Marketplace Quality team, you will be an industry technical leader with domain knowledge in ads marketplace dynamics, auction and pricing, you will research, formulate, and execute on our mission to build end-to-end algorithmic solutions and deliver values to all the three-sided participants to our marketplace.

Responsibilities:

• Lead and oversee the strategy development, quarterly planning and day-to-day execution of initiatives related to ads marketplace, auction and pricing.
• Proactively further our understanding of marketplace dynamics and develop algorithms to improve the efficiency and effectiveness of our ads marketplace, auction and pricing.
• Oversee end-to-end ML workflows,from data ingestion and feature engineering to model training, evaluation, and deployment,that optimizes the ads marketplace efficiency.
• Be a mentor, lead both junior and senior engineers in implementing technical designs and reviews. Fostering a culture of innovation, technical excellence, and knowledge sharing across the organization.
• Be a cross-functional advocate for the team, collaborate with cross-functional teams (e.g., product management, data science, PMM, Sales etc.) to innovate and build products.

Required Qualifications:

• 8+ years of experience with industry-level product development, with at least 5+ years focused on data-driven, marketplace-optimization problem space at scale.
• Strong knowledge of ads marketplace optimization. Demonstrated experience architecting ads marketplace design, improving and optimizing ads auction and pricing mechanisms.
• Solid understanding of large-scale data processing, distributed computing, and data infrastructure (e.g., Spark, Kafka, Beam, Flink).
• Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries for feature engineering, model training, and inference.
• Proficiency with programming languages (Java, Python, Golang, C++, or similar) and statistical analysis.
• Proven technical leadership in cross-functional settings, driving architectural decisions and influencing stakeholders (product, data science, privacy, legal).
• Excellent communication, mentoring, and collaboration skills to align teams on a long-term vision for ads marketplace optimization.

Benefits:

• Comprehensive Healthcare Benefits
• 401k Matching
• Workspace benefits for your home office
• Personal & Professional development funds
• Family Planning Support
• Flexible Vacation (please use them!) & Reddit Global Wellness Days
• 4+ months paid Parental Leave
• Paid Volunteer time off

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You'll work at the intersection of advanced AI development and real-world impact, enhancing the ability to connect users with relevant content, accounts, and experiences.

Responsibilities:

• Designing and architecting recommendation algorithms across various product surfaces

• Leveraging all of xAI's infrastructure and AI stacks to dramatically enhance the user experience

• Writing data pipelines and training jobs that continuously learn from product data

• Iterating and improving the algorithm by gathering user feedback in real time through experimentation

• Ensuring scalability and efficiency of machine learning systems

Basic Qualifications:

• Knowledge of data infrastructure like Kafka, Clickhouse, and Spark

• Experienced in implementing recommender systems and/or deep learning applications at industrial scale

• Skilled in one or more DL software frameworks such as JAX or PyTorch

• Exceptional candidates may be experienced in writing CUDA kernels

Compensation and Benefits:

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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We currently have openings on: Base Infrastructure: We are looking for strong engineers with leadership experience to join the Serving Infrastructure organisation. You will primarily work on the Base Infrastructure team, whose key projects include building replication to support zero downtime failovers, optimising performance and memory usage, and vertical scaling. Data Infrastructure: The Data Infrastructure team’s mission is to enable data-driven decision making at Airtable by providing reliable, self-service, high-performance analytics infrastructure. We use technologies like Apache Spark, Kafka, and Apache Flink to process vast quantities of data in our data warehouse.

What you'll do

Proactively identify and lead significant improvements to Airtable’s infrastructure, working across teams and product areas to maximise business and engineering impact. Work on systems-level problems in a complex design space where scalability, efficiency, reliability, and security really matter. Build clean, reusable, and maintainable abstractions that will be used by Airtable’s engineers for years to come. Take full ownership of components of Airtable’s infrastructure, including responsibility for reliability, performance, efficiency, and observability of our production environment.

Who you are

You have at least 8 years of industry experience, and are excited about learning new technologies and applying them in a fast-changing environment. You have experience in areas such as databases, distributed systems, service-oriented architectures, and data infrastructure. You derive joy from refactoring and building clean abstractions in order to make complex systems fun to develop on and easy to understand. You have a strong background in computer science with a degree in CS or a related field. You are currently based or willing to relocate to the San Francisco Bay Area or New York City for this role.

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Airtable's infrastructure is evolving to meet the needs of our fast-growing engineering org. We currently have openings on:

• Base Infrastructure: The Base Infrastructure team owns the system that powers the core of Airtable's product--serving Airtable bases. We are investing in the foundations of our homegrown in-memory database. Key projects include building replication to support zero downtime failovers, optimising performance and memory usage, and vertical scaling.

• Compute: The compute pod builds and manages our Kubernetes-based platform that supports every service at Airtable, including all new AI services such as vector databases, AI evals store, and document extraction and understanding services. We have a lot of exciting foundational work in our roadmap, such as overhauling our network stack and service discovery, to simplify service setup and strengthen security, region level disaster recovery, and bringing up compute platform from 0->1 in a new region, building custom Kubernetes operators for reliably managing some of our most critical workloads.

• Data Infrastructure: The Data Infrastructure team's mission is to enable data-driven decision making at Airtable by providing reliable, self-service, high-performance analytics infrastructure. We use technologies like Apache Spark, Kafka, and Apache Flink to process vast quantities of data in our data warehouse. This infrastructure is used by Airtable's data engineers and analysts, as well as product developers building features powered by business data. The team is focused on scaling to petabyte volume, enabling sub-second streaming, tightening data governance, and delivering cost-efficient ML-ready datasets to power Airtable's native AI products with fresh, high-quality signals.

• Developer Platform: The Developer Platform team sits at the intersection of all engineering at Airtable, focusing on building the internal tooling, frameworks, and CI/CD systems that power our product teams. We strive to streamline developer workflows,from build and test cycles to production deployments,and foster a best-in-class developer experience.

• Storage: The Storage team's mission is to accelerate product development at Airtable by providing scalable, reliable, and easy-to-use storage abstractions. We use RDS MySQL, DynamoDB, Redis, and TiDB. We're looking for folks interested in distributed systems and databases who are excited to work on business-critical, petabyte-scale storage systems.

• Traffic: We are looking for founding members of our Traffic Engineering team. We recently formed a Traffic Infrastructure team to ensure that traffic across Airtable's network and routing infrastructure is managed in a reliable, flexible, and secure manner. This will support improved performance in our secondary regions (EU and Australia) as well as other customer-driven projects.

You will own all aspects of building, running, and improving these systems, from the underlying infrastructure all the way to the developer-facing code abstractions.

You will proactively identify and lead significant improvements to Airtable's infrastructure, working across teams and product areas to maximise business and engineering impact. You will work on systems-level problems in a complex design space where scalability, efficiency, reliability, and security really matter. You will build clean, reusable, and maintainable abstractions that will be used by Airtable's engineers for years to come. You will take full ownership of components of Airtable's infrastructure, including responsibility for reliability, performance, efficiency, and observability of our production environment.

You have 2-8 years of industry experience, and are excited about learning new technologies and applying them in a fast-changing environment. You have experience in areas such as databases, distributed systems, service-oriented architectures, and data infrastructure. You derive joy from refactoring and building clean abstractions in order to make complex systems fun to develop on and easy to understand. You have a strong background in computer science with a degree in CS or a related field. You are currently based or willing to relocate to the San Francisco Bay Area.

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The bottleneck has shifted downstream - to merge conflicts, flaky tests, inconsistent code quality, and dozens of other frictions that drain productivity and morale. Engineering teams that can stay focused on designing, implementing, and delivering software will build magical, high-quality projects - and they'll be happier doing it.

We're building a CI Reliability Platform that empowers teams to land code faster and develop happier.

We are looking for a motivated and experienced Senior Software Engineer to join our Platform/Data Engineering team. In this role, you will be responsible for developing and optimizing data ingestion pipelines that can handle vast amounts of real-time and batch data from various sources.

Your focus will be on designing systems that are scalable, reliable, and performant, as well as ensuring the proper integration of data across our entire ecosystem.

Responsibilities

• Design, build, and maintain scalable data ingestion pipelines to handle large volumes of structured and unstructured data.
• Optimize and improve the efficiency of existing data processing workflows, ensuring they can scale as the data grows.
• Collaborate with cross-functional teams to gather data requirements and ensure seamless integration with various data sources.
• Implement real-time and batch processing systems for ingesting data from APIs and webhooks.
• Ensure data quality, consistency, and integrity across all data pipelines.
• Troubleshoot and resolve performance bottlenecks and data-related issues in the ingestion pipeline.
• Develop monitoring and alerting systems to proactively manage the health of data pipelines.
• Continuously evaluate and adopt new technologies and tools to improve the scalability and performance of our systems.
• Document the design, implementation, and operations of data pipelines for knowledge sharing within the team.

Requirements

• 4-5+ years of professional software engineering experience
• You're located within commute distance of San Francisco and are willing to work in office at least 8 days per month.
• You have experience in areas such as databases, distributed systems, service-oriented architectures, and data infrastructure
• You derive joy from refactoring and building clean abstractions in order to make complex systems fun to develop on and easy to understand
• Excellent debugging and troubleshooting skills and the tenacity to drive a solution to a conclusion
• Experience and intuition to zero in on root causes for bugs that can leave others stumped
• The ability to operate independently, but know when you are in too deep and need to ask for help
• Ability to collaborate with colleagues to plan and execute the best solution

Tech Stack

• Frontend: Typescript, React, Next.js, AWS
• Backend: Typescript, Node, AWS
• Data pipelines: Dagster, python, polars
• CI/CD: GitHub Actions

Benefits

• Unlimited PTO
• Competitive salary and equity
• Work-life balance
• Lunch ordered in on us at the office on Wednesdays and Thursdays
• Few meetings, so you can ship fast and focus on building
• One Medical membership on us!
• Top-notch medical, dental, vision, short-term disability, long-term disability, and life insurance
• All insurance is 100% company-paid ($0 premiums) for employees and highly subsidized for dependents
• FSA, HSA with company contributions, and pre-tax commuter benefits
• 401(k) plan
• Paid parental leave (up to 12 weeks)

The salary and equity range for this role are: $170K - $210K and .15% - .35%.

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As our Enterprise Sales Executive, you will be instrumental in shaping Mistral's adoption with our largest customers across a variety of industries.

You will be driving deals end-to-end: from prospective, first intro call until closing and beyond , together with our dedicated implementation specialist, tech and legal teams.

Responsibilities

Lead development (strategic outbound and qualified inbound):

• Handle strategic outreach as well as warm introductions to promising enterprise customers
• Converting inbound deals where upselling / more bespoke agreements can be achieved

Value prop validation for customer:

• Provide hands-on support and guidance to clients during a potential Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process
• Leverage successful POC outcomes to facilitate the conversion of POCs into long-term, revenue-generating contracts

Deal management & closing:

• Develop and execute strategic sales plans to convert leads into valued customers , you are the first point of contact for all external stakeholders and are responsible for properly managing deals and aligning all stakeholders (heavy involvement of customer engineering, product, and commercial teams, both on operational and C-level)
• Handle customer negotiation end-to-end, together with our legal and implementation specialist team

Executive Engagement:

• Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI, and other key decision-makers within target organisations
• Comprehend their specific challenges and needs, positioning our solution as an integral part of their strategic initiatives

Technical Aptitude:

• Demonstrate a deep understanding of the technical intricacies of our product and articulate its value proposition effectively to potential clients
• Work side-by-side with our implementation team to ensure that customer's questions, concerns and challenges are taken care of during pre-sales, deployment and post-deployment phase
• Collaborate with our technical team to address any customer inquiries or concerns

Training and enablement:

• Empower internal teams with the knowledge and resources that you collect in customer conversations to drive product roadmap and align on priorities

Who you are

We are looking for someone with 7-10 years experience in Sales (enterprise sales/consultative selling, ideally selling a highly complex, technical product).

Requirements

• Excellent academics: Bachelor and/or Master Degree in Business, Computer Science, or a related field
• Significant work experience within AI ecosystem or related data/infrastructure field
• Experience at successful fast growing startup, ideally in deep-tech
• Strong technical skills to navigate quickly evolving products and steer technical discussions
• Excellent English & French, additional language welcome (e.g. German, Spanish, etc.)
• Outstanding negotiation and communication skills

What We Offer

• Competitive cash salary and equity
• Food: Daily lunch vouchers
• Sport: Monthly contribution to a Gym pass subscription
• Transportation: Monthly contribution to a mobility pass
• Health: Full health insurance for you and your family
• Parental: Generous parental leave policy
• Visa sponsorship

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a company that democratizes AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments.

Our offerings include le Chat, the AI assistant for life and work.

Role Summary:

As our Enterprise Sales Executive, you will be instrumental in shaping Mistral's adoption with our largest customers across a variety of industries. You will be driving deals end2end: from prospective, first intro call until closing and beyond , together with our dedicated implementation specialist, tech and legal teams.

Responsibilities:

Lead development (strategic outbound and qualified inbound):

• Handle strategic outreach as well as warm introductions to promising enterprise customers

• Converting inbound deals where upselling / more bespoke agreements can be achieved

Value prop validation for customer:

• Provide hands-on support and guidance to clients during a potential Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process

• Leverage successful POC outcomes to facilitate the conversion of POCs into long-term, revenue-generating contracts

Deal management & closing:

• Develop and execute strategic sales plans to convert leads into valued customers , you are the first point of contact for all external stakeholders and are responsible for properly managing deals and aligning all stakeholders (heavy involvement of customer engineering, product, and commercial teams, both on operational and C-level)

• Handle customer negotiation end2end, together with our legal and implementation specialist team

Executive Engagement:

• Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI, and other key decision-makers within target organisations

• Comprehend their specific challenges and needs, positioning our solution as an integral part of their strategic initiatives

Technical Aptitude:

• Demonstrate a deep understanding of the technical intricacies of our product and articulate its value proposition effectively to potential clients

• Work side-by-side with our implementation team to ensure that customer's questions, concerns and challenges are taken care of during pre-sales, deployment and post-deployment phase

• Collaborate with our technical team to address any customer inquiries or concerns

Training and enablement:

• Empower internal teams with the knowledge and resources that you collect in customer conversations to drive product roadmap and align on priorities

What you are:

• 7-10 years experience in Sales (enterprise sales/consultative selling, ideally selling a highly complex, technical product)

• Excellent academics: Bachelor and/or Master Degree in Business, Computer Science, or a related field

• Significant work experience within AI ecosystem or related data/infrastructure field

• Experience at successful fast growing startup, ideally in deep-tech

• Strong technical skills to navigate quickly evolving products and steer technical discussions

• Excellent German and English

What We Offer:

• Competitive cash salary and equity

• Food: Daily lunch vouchers

• Sport: Monthly contribution to a Gym pass subscription

• Transportation: Monthly contribution to a mobility pass

• Health: Full health insurance for you and your family

• Parental: Generous parental leave policy

• Visa sponsorship

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

Role Summary

As an Enterprise AE in our US market, you will play a crucial role in driving Mistral AI's adoption among large enterprise customers across various industries. Based in either the Bay Area or New York, you will manage the entire sales cycle, from initial outreach to closing deals, collaborating closely with our dedicated implementation, tech, and legal teams.

Responsibilities

Lead Development (Strategic Outbound and Qualified Inbound):

• Conduct strategic outreach and manage warm introductions to potential enterprise customers.

• Convert inbound leads where there are opportunities for upselling or more bespoke agreements.

Value Proposition Validation for Customers:

• Provide hands-on support and guidance to clients during the Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process.

• Leverage successful POC outcomes to convert them into long-term, revenue-generating contracts.

Deal Management & Closing:

• Develop and execute strategic sales plans to convert leads into valued customers.

• Serve as the primary point of contact for all external stakeholders, managing deals and aligning all stakeholders, including customer engineering, product, and commercial teams.

• Handle customer negotiations end-to-end, collaborating with our legal and implementation specialist teams.

Executive Engagement:

• Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI and other key decision makers within target organizations.

• Understand their specific challenges and position Mistral AI's solutions as integral to their strategic initiatives.

Technical Aptitude:

• Demonstrate a deep understanding of our product's technical intricacies and articulate its value proposition effectively to potential clients.

• Work closely with our implementation team to address customer questions, concerns, and challenges during pre-sales, deployment, and post-deployment phases.

• Collaborate with our technical team to address any customer inquiries or concerns.

Training and Enablement:

• Empower internal teams with the knowledge and resources gathered from customer conversations to drive the product roadmap and align on priorities.

What You Will Do

Leads the development of new business opportunities through strategic outreach and management of warm introductions to potential enterprise customers.

Converts inbound leads where there are opportunities for upselling or more bespoke agreements.

Provides hands-on support and guidance to clients during the Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process.

Leverages successful POC outcomes to convert them into long-term, revenue-generating contracts.

Develops and executes strategic sales plans to convert leads into valued customers.

Serves as the primary point of contact for all external stakeholders, managing deals and aligning all stakeholders, including customer engineering, product, and commercial teams.

Handles customer negotiations end-to-end, collaborating with our legal and implementation specialist teams.

Cultivates and maintains strong relationships with C-level executives, heads of innovation/AI and other key decision makers within target organizations.

Understands their specific challenges and positions Mistral AI's solutions as integral to their strategic initiatives.

Demonstrates a deep understanding of our product's technical intricacies and articulates its value proposition effectively to potential clients.

Works closely with our implementation team to address customer questions, concerns, and challenges during pre-sales, deployment, and post-deployment phases.

Collaborates with our technical team to address any customer inquiries or concerns.

Empowers internal teams with the knowledge and resources gathered from customer conversations to drive the product roadmap and align on priorities.

Who You Are

• 7-10 years of experience in enterprise sales or consultative selling, ideally with a highly complex, technical product.

• Deep understanding of the US market dynamics and enterprise landscape.

• Experience of consultative selling of highly complex, technical products.

• Bachelor's and/or Master's degree in Business, Computer Science, or a related field.

• Significant work experience within the AI ecosystem or related data/infrastructure field.

• Experience working at a successful, fast-growing startup, ideally in deep-tech.

• Strong technical skills to navigate quickly evolving products and steer technical discussions.

• Excellent written and verbal communication in English, and a bonus for French.

• Outstanding negotiation and communication skills to build relationships and close deals effectively.

What We Offer

• Competitive salary and equity.

• Healthcare: Medical/Dental/Vision covered for you and your family.

• 401K: 6% matching.

• PTO: 18 days.

• Transportation: Reimburse office parking charges, or $120/month for public transport.

• Sport: $120/month reimbursement for gym membership.

• Meal stipend: $400 monthly allowance for meals.

• Visa sponsorship.

• Coaching: we offer BetterUp coaching on a voluntary basis.

By applying, you agree to our Applicant Privacy Policy.

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As our Enterprise Sales Executive, you will play a crucial part in shaping Mistral's adoption with our largest customers across various industries. You will be responsible for driving deals end-to-end, from initial prospecting to closing and beyond, in collaboration with our dedicated implementation specialist, tech, and legal teams.

Responsibilities

• Lead development of strategic outbound and qualified inbound leads
• Convert inbound deals by upselling or negotiating more bespoke agreements
• Validate the value proposition for customers through hands-on support and guidance during the Proof of Concept (POC) phase
• Leverage successful POC outcomes to convert them into long-term, revenue-generating contracts
• Develop and execute strategic sales plans to convert leads into valued customers
• Manage customer negotiations end-to-end, involving customer engineering, product, and commercial teams
• Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI, and other key decision-makers within target organisations

Requirements

• 7-10 years of experience in sales, preferably in enterprise sales or consultative selling, with a focus on complex, technical products
• Excellent academic record, including a Bachelor's and/or Master's degree in Business, Computer Science, or a related field
• Significant work experience within the AI ecosystem or related data/infrastructure field
• Experience at a successful fast-growing startup, ideally in deep-tech
• Strong technical skills to navigate quickly evolving products and steer technical discussions
• Excellent English and French language skills, with additional languages such as German or Spanish being an asset
• Outstanding negotiation and communication skills

What We Offer

• Competitive cash salary and equity
• Daily lunch vouchers
• Monthly contribution to a gym pass subscription
• Monthly contribution to a mobility pass
• Full health insurance for you and your family
• Generous parental leave policy
• Visa sponsorship

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You will build high-performance, reliable solutions across cloud-native platforms and global infrastructure.

Responsibilities

• Identify, design, and develop foundational backend services that power Fal's commerce platform
• Partner with product teams to understand functional requirements and deliver solutions that meet business needs
• Write clear, well-tested, and maintainable software and IaC for both new and existing systems
• Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure
• Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance

Requirements

• 5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems and API microservices
• Expert-level programmer in one or more of Python, Go, Or Rust
• Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources
• Proficiency in writing and maintaining Infrastructure as Code (IaC)
• Proficiency in version control practices and integrating IaC with CI/CD pipelines
• Experience with payment processors (e.g. Stripe) and billing systems a plus
• Experience with Kubernetes, or containers a plus
• Experience building and operating data infrastructure (Kinesis, Airflow, Kafka, etc) a plus

What we offer at Fal

• Interesting and challenging work
• Competitive salary and equity
• A lot of learning and growth opportunities
• We offer visa sponsorship and will help you relocate to San Francisco
• Health, dental, and vision insurance (US)
• Regular team events and offsite

Compensation

$180,000 - $250,000 + equity + comprehensive benefits package

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The Data Platform team is the backbone of Anchorage Digital's information infrastructure. As data becomes the lifeblood of every product, compliance workflow, and client-facing report we produce, this team is responsible for building and operating a unified, scalable, and reliable data platform that serves the entire organization.

As a Data Platform Product Manager, you will own the strategy and execution for centralizing and formalizing the company's data infrastructure , spanning internal operational data, transaction and blockchain data, customer data, and external data sources.

Your mission is to transform a fragmented data landscape into a single source of truth that powers mission-critical reporting, business insights, and downstream product experiences across every team at Anchorage.

This is a force-multiplier role. Your work will elevate the quality, speed, and reliability of every product and team at the company.

You will define the standards, build the platform, and create the foundation that enables Anchorage to scale with confidence.

If you thrive at the intersection of complex data systems, cross-functional influence, and platform thinking, this is your opportunity to have outsized impact at a category-defining company in digital assets.

Below, we define our Factors of Growth & Impact to help Anchorage Villagers measure their impact and articulate feedback, coaching, and the rich learning that happens while exploring, developing, and mastering capabilities within and beyond the Member of Product, Data Platform role:

Technical Skills:

• Own the detailed prioritization of the data platform roadmap, balancing foundational infrastructure work, new capabilities, and technical debt.
• Demonstrate deep strategic thinking in shaping the platform roadmap, considering the unique data challenges of digital assets, blockchain protocols, and regulated financial services.
• Deliver complex, cross-functional projects with multiple dependencies across engineering, analytics, compliance, and operations teams.
• Work closely with engineering and data science counterparts to drive product development processes, sprint planning, and architectural decisions.
• Ability to understand and reason about system architecture , including data warehousing, ETL/ELT pipelines, streaming vs. batch processing, and modern data stack components , and communicate clear requirements to engineering.
• Drive comprehensive go-to-market strategy for internal platform adoption, including defining success metrics, tracking KPIs around data quality and platform usage, and iterating based on data-driven insights.

Complexity and Impact of Work:

• Lead and influence cross-functional teams while maintaining strong stakeholder relationships across the entire organization , from engineering to finance to compliance.
• Exercise independent decision-making and take full ownership of data platform strategy and execution.
• Contribute strategic insights that significantly impact company direction, operational efficiency, and product quality.
• Demonstrate platform leadership that elevates the performance and effectiveness of every team that depends on data.

Organizational Knowledge:

• Develop deep understanding of Anchorage's business model, product suite, regulatory environment, and organizational structure.
• Build and maintain strong relationships with stakeholders across all departments to ensure the data platform serves the company's most critical needs.
• Navigate and improve organizational data practices to enhance efficiency, compliance, and decision-making.
• Drive company objectives through strategic data platform decisions and initiatives.

Communication and Influence:

• Effectively influence and motivate teams across the organization to adopt platform standards and invest in data quality, even when those teams do not report to you.
• Enable cross-functional collaboration through clear, consistent communication about platform capabilities, timelines, and data governance expectations.
• Act as a thoughtful knowledge partner to senior leadership, translating complex data infrastructure topics into clear business impact.
• Proactively communicate platform goals, status updates, and data health metrics throughout the organization.

You may be a fit for this role if you:

• 5+ years of product management experience, with significant time spent on data platforms, data infrastructure, or data-intensive enterprise products.
• Proven experience building or scaling enterprise data platforms , including data warehousing, data lakes, ETL/ELT pipelines, or modern data stack tooling (e.g., Snowflake, Databricks, dbt, Airflow, Spark).
• Strong understanding of data modeling, data governance, and data quality frameworks.
• Experience working with diverse data types , including transactional data, customer data, financial data, and ideally blockchain or on-chain data.
• Track record of driving cross-functional alignment and adoption for internal platform products where you must influence without direct authority.
• Exceptional written and verbal communication skills, with the ability to convey complex data architecture concepts to both technical and non-technical audiences.
• Your empathy and adaptability not only complement others' working styles but also embody our culture of curiosity, creativity, and shared understanding.
• You self describe as some combination of the following: creative, humble, ambitious, detail oriented, hard working, trustworthy, eager to learn, methodical, action oriented, and tenacious.

Although not a requirement, bonus points if you have:

• You have hands-on experience with blockchain data indexing, onchain analytics, or crypto-native data infrastructure.
• You have built data platforms that serve both internal analytics consumers and external client-facing products (reports, statements, dashboards).
• You have experience supporting clients with data-related issues or concerns.

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global company with a comprehensive AI platform that meets enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.

Role Summary:

As our Enterprise Sales Executive, you will be instrumental in shaping Mistral's adoption with our largest customers across a variety of industries. You will be driving deals end-to-end: from prospective, first intro call until closing and beyond — together with our dedicated implementation specialist, tech and legal teams.

Responsibilities:

• Lead development (strategic outbound and qualified inbound): Handle strategic outreach as well as warm introductions to promising enterprise customers. Converting inbound deals where upselling / more bespoke agreements can be achieved.

• Value prop validation for customer: Provide hands-on support and guidance to clients during a potential Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process. Leverage successful POC outcomes to facilitate the conversion of POCs into long-term, revenue-generating contracts.

• Deal management & closing: Develop and execute strategic sales plans to convert leads into valued customers — you are the first point of contact for all external stakeholders and are responsible for properly managing deals and aligning all stakeholders (heavy involvement of customer engineering, product, and commercial teams, both on operational and C-level).

• Handle customer negotiation end-to-end, together with our legal and implementation specialist team.

• Executive Engagement: Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI, and other key decision-makers within target organisations. Comprehend their specific challenges and needs, positioning our solution as an integral part of their strategic initiatives.

Technical Aptitude:

• Demonstrate a deep understanding of the technical intricacies of our product and articulate its value proposition effectively to potential clients.

• Work side-by-side with our implementation team to ensure that customer's questions, concerns and challenges are taken care of during pre-sales, deployment and post-deployment phase.

• Collaborate with our technical team to address any customer inquiries or concerns.

Training and enablement:

• Empower internal teams with the knowledge and resources that you collect in customer conversations to drive product roadmap and align on priorities.

Who you are:

• 7-10 years experience in Sales (enterprise sales/consultative selling, ideally selling a highly complex, technical product).

• Excellent academics: Bachelor and/or Master Degree in Business, Computer Science, or a related field.

• Significant work experience within AI ecosystem or related data/infrastructure field.

• Experience at successful fast growing startup, ideally in deep-tech.

• Strong technical skills to navigate quickly evolving products and steer technical discussions.

• Excellent English & French, additional language welcome (e.g. German, Spanish, etc.).

What We Offer:

• Competitive cash salary and equity.

• Food: Daily lunch vouchers.

• Sport: Monthly contribution to a Gym pass subscription.

• Transportation: Monthly contribution to a mobility pass.

• Health: Full health insurance for you and your family.

• Parental: Generous parental leave policy.

• Visa sponsorship.

XML job scraping automation by YubHub

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global company with teams distributed between France, USA, UK, Germany, and Singapore. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments.

Role Summary:

As our Enterprise Sales Executive, you will be instrumental in shaping Mistral's adoption with our largest customers across a variety of industries. You will be driving deals end-to-end: from prospective, first intro call until closing and beyond — together with our dedicated implementation specialist, tech and legal teams.

Responsibilities:

• Lead development (strategic outbound and qualified inbound): Handle strategic outreach as well as warm introductions to promising enterprise customers. Converting inbound deals where upselling / more bespoke agreements can be achieved.

• Value prop validation for customer: Provide hands-on support and guidance to clients during a potential Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process. Leverage successful POC outcomes to facilitate the conversion of POCs into long-term, revenue-generating contracts.

• Deal management & closing: Develop and execute strategic sales plans to convert leads into valued customers — you are the first point of contact for all external stakeholders and are responsible for properly managing deals and aligning all stakeholders (heavy involvement of customer engineering, product, and commercial teams, both on operational and C-level).

• Handle customer negotiation end-to-end, together with our legal and implementation specialist team.

• Executive Engagement: Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI, and other key decision-makers within target organisations. Comprehend their specific challenges and needs, positioning our solution as an integral part of their strategic initiatives.

Technical Aptitude:

• Demonstrate a deep understanding of the technical intricacies of our product and articulate its value proposition effectively to potential clients.

• Work side-by-side with our implementation team to ensure that customer's questions, concerns and challenges are taken care of during pre-sales, deployment and post-deployment phase.

• Collaborate with our technical team to address any customer inquiries or concerns.

Training and enablement:

• Empower internal teams with the knowledge and resources that you collect in customer conversations to drive product roadmap and align on priorities.

Who you are:

• 7-10 years experience in Sales (enterprise sales/consultative selling, ideally selling a highly complex, technical product).

• Excellent academics: Bachelor and/or Master Degree in Business, Computer Science, or a related field.

• Significant work experience within AI ecosystem or related data/infrastructure field.

• Experience at successful fast growing startup, ideally in deep-tech.

• Strong technical skills to navigate quickly evolving products and steer technical discussions.

• Excellent German and English.

• Outstanding negotiation and communication skills.

What We Offer:

• Competitive cash salary and equity.

• Food: Daily lunch vouchers.

• Sport: Monthly contribution to a Gym pass subscription.

• Transportation: Monthly contribution to a mobility pass.

• Health: Full health insurance for you and your family.

• Parental: Generous parental leave policy.

• Visa sponsorship.

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute — a suite that brings frontier intelligence to end-users.

Role Summary

As an Enterprise AE in our US market, you will play a crucial role in driving Mistral AI's adoption among large enterprise customers across various industries. Based in either the Bay Area or New York, you will manage the entire sales cycle, from initial outreach to closing deals, collaborating closely with our dedicated implementation, tech, and legal teams. Your strategic vision and execution will be instrumental in establishing Mistral AI as a leading AI solutions provider in the US.

Responsibilities

Lead Development (Strategic Outbound and Qualified Inbound):

• Conduct strategic outreach and manage warm introductions to potential enterprise customers.

• Convert inbound leads where there are opportunities for upselling or more bespoke agreements.

Value Proposition Validation for Customers:

• Provide hands-on support and guidance to clients during the Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process.

• Leverage successful POC outcomes to convert them into long-term, revenue-generating contracts.

Deal Management & Closing:

• Develop and execute strategic sales plans to convert leads into valued customers.

• Serve as the primary point of contact for all external stakeholders, managing deals and aligning all stakeholders, including customer engineering, product, and commercial teams.

• Handle customer negotiations end-to-end, collaborating with our legal and implementation specialist teams.

Executive Engagement:

• Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI and other key decision makers within target organizations.

• Understand their specific challenges and position Mistral AI's solutions as integral to their strategic initiatives.

Technical Aptitude:

• Demonstrate a deep understanding of our product's technical intricacies and articulate its value proposition effectively to potential clients.

• Work closely with our implementation team to address customer questions, concerns, and challenges during pre-sales, deployment, and post-deployment phases.

• Collaborate with our technical team to address any customer inquiries or concerns.

Training and Enablement:

• Empower internal teams with the knowledge and resources gathered from customer conversations to drive the product roadmap and align on priorities.

Requirements

• 7-10 years of experience in enterprise sales or consultative selling, ideally with a highly complex, technical product.

• Deep understanding of the US market dynamics and enterprise landscape.

• Experience of consultative selling of highly complex, technical products.

• Bachelor's and/or Master's degree in Business, Computer Science, or a related field.

• Significant work experience within the AI ecosystem or related data/infrastructure field.

• Experience working at a successful, fast-growing startup, ideally in deep-tech.

• Strong technical skills to navigate quickly evolving products and steer technical discussions.

• Excellent written and verbal communication in English, and a bonus for French.

• Outstanding negotiation and communication skills to build relationships and close deals effectively.

What we offer

• Competitive salary and equity.

• Healthcare: Medical/Dental/Vision covered for you and your family.

• 401K: 6% matching.

• PTO: 18 days.

• Transportation: Reimburse office parking charges, or $120/month for public transport.

• Sport: $120/month reimbursement for gym membership.

• Meal stipend: $400 monthly allowance for meals.

• Visa sponsorship.

• Coaching: we offer BetterUp coaching on a voluntary basis.

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global company with teams distributed between France, USA, UK, Germany, and Singapore. We offer a comprehensive AI platform that meets enterprise needs, whether on-premises or in cloud environments.

Role Summary

As an Enterprise AE in our US market, you will play a crucial role in driving Mistral AI's adoption among large enterprise customers across various industries. Based in either the Bay Area or New York, you will manage the entire sales cycle, from initial outreach to closing deals, collaborating closely with our dedicated implementation, tech, and legal teams.

Responsibilities

Lead Development (Strategic Outbound and Qualified Inbound):

• Conduct strategic outreach and manage warm introductions to potential enterprise customers.

• Convert inbound leads where there are opportunities for upselling or more bespoke agreements.

Value Proposition Validation for Customers:

• Provide hands-on support and guidance to clients during the Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process.

• Leverage successful POC outcomes to convert them into long-term, revenue-generating contracts.

Deal Management & Closing:

• Develop and execute strategic sales plans to convert leads into valued customers.

• Serve as the primary point of contact for all external stakeholders, managing deals and aligning all stakeholders, including customer engineering, product, and commercial teams.

• Handle customer negotiations end-to-end, collaborating with our legal and implementation specialist teams.

Executive Engagement:

• Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI and other key decision makers within target organizations.

• Understand their specific challenges and position Mistral AI's solutions as integral to their strategic initiatives.

Technical Aptitude:

• Demonstrate a deep understanding of our product's technical intricacies and articulate its value proposition effectively to potential clients.

• Work closely with our implementation team to address customer questions, concerns, and challenges during pre-sales, deployment, and post-deployment phases.

• Collaborate with our technical team to address any customer inquiries or concerns.

Training and Enablement:

• Empower internal teams with the knowledge and resources gathered from customer conversations to drive the product roadmap and align on priorities.

Who you are

• 7-10 years of experience in enterprise sales or consultative selling, ideally with a highly complex, technical product.

• Deep understanding of the US market dynamics and enterprise landscape.

• Experience of consultative selling of highly complex, technical products.

• Bachelor's and/or Master's degree in Business, Computer Science, or a related field.

• Significant work experience within the AI ecosystem or related data/infrastructure field.

• Experience working at a successful, fast-growing startup, ideally in deep-tech.

• Strong technical skills to navigate quickly evolving products and steer technical discussions.

• Excellent written and verbal communication in English, and a bonus for French.

• Outstanding negotiation and communication skills to build relationships and close deals effectively.

What we offer

• Competitive salary and equity.

• Healthcare: Medical/Dental/Vision covered for you and your family.

• 401K: 6% matching.

• PTO: 18 days.

• Transportation: Reimburse office parking charges, or $120/month for public transport.

• Sport: $120/month reimbursement for gym membership.

• Meal stipend: $400 monthly allowance for meals.

• Visa sponsorship.

• Coaching: we offer BetterUp coaching on a voluntary basis.

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Anthropic's Safeguards team is responsible for the systems that allow us to deploy powerful AI models responsibly — and the data infrastructure underneath those systems is foundational to getting that right. The Safeguards Data Infrastructure team owns the offline data stack that underpins our safeguards work: the storage layer for sensitive user data, the tooling built on top of it, and the interfaces that let the rest of the Safeguards organisation access that data safely and ergonomically.

As Engineering Manager of this team, you'll be responsible for ensuring full portability of our safeguards data stack across an expanding set of deployment environments, building privacy-preserving data interfaces that enable ML and training workflows, and driving compliance with data regulations including HIPAA. This is a role at the intersection of infrastructure engineering, data privacy, and enterprise product requirements — and it sits at a critical juncture as Anthropic scales into new cloud environments and geographies

Responsibilities:

• Lead and grow a team of engineers delivering the data infrastructure and tooling that powers Anthropic's safeguards capabilities
• Own the strategy and execution for porting the safeguards offline data stack — including PII storage and tooling — across new cloud and deployment environments as Anthropic expands
• Build and maintain privacy-safe data APIs and interfaces that enable ML and training workflows while respecting data retention and access constraints
• Drive tooling and architecture decisions that maximise data retention within the bounds of our privacy and compliance requirements
• Manage privacy incident response processes and partner with compliance teams on regulatory requirements (e.g. HIPAA, EU privacy regulations)
• Collaborate closely with enterprise customers and product teams on zero data retention offerings, working balancing safety needs with robust enterprise data contracts
• Independently own and drive multiple workstreams, including planning, execution, and cross-team coordination
• Coach, mentor, and support the career development of your direct reports, helping them set and achieve their professional goals
• Partner with recruiting to attract, hire, and retain strong engineering talent

You may be a good fit if you:

• Have 4+ years of front-line engineering management experience
• Have a track record of leading teams that build and operate data infrastructure at scale
• Have hands-on software engineering experience as an individual contributor prior to moving into management
• Have a strong understanding of data privacy principles, PII handling, and compliance frameworks
• Are comfortable driving technical decisions in an ambiguous, fast-moving environment with competing priorities
• Have experience working cross-functionally across infrastructure, product, and compliance or security teams
• Are clear and persuasive communicators, both in writing and in person

Strong candidates may also:

• Have experience with multi-cloud or multi-region data portability, particularly in regulated environments
• Have built privacy-preserving data pipelines or interfaces for ML workloads
• Have experience with enterprise data contracts or zero data retention architectures
• Have explored novel approaches to data processing under strict access constraints, such as in-memory storage and compute for sensitive data
• Have a passion for building diverse and inclusive teams

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for

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Location

San Francisco

Employment Type

Full time

Department

Finance

Compensation

• $347K – $490K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

We are looking for a Director of Data Engineering and Agentic AI Automation to lead the next generation of our finance data infrastructure. As OpenAI expands its Finance operations, we need scalable and trustworthy data systems to match the pace and complexity of our growth. This includes well-modeled, auditable data for revenue recognition, financial reporting, and planning, supported by reliable pipelines that connect ERP, planning, and operational systems. You will lead a group of analytics engineers, data engineers, and AI engineers to build the data pipelines that connect our internal engineering systems with enterprise platforms such as Oracle Fusion ERP. This role will also define the roadmap for agentic AI automation, enabling intelligent workflows, process automation, and AI-driven decision-making across Finance.

In this role, you will:

• Build and maintain scalable, auditable data infrastructure that powers accurate financial information, with a focus on revenue recognition, compute attribution, and close automation.

• Lead and grow teams of analytics engineers, data engineers, and AI engineers to deliver high-impact, intelligent data systems.

• Guide work across financial close and allocations automation, B2C revenue automation from engineering systems to ERP (including reconciliation with cash and source systems), and other mission-critical financial processes.

• Design and implement data pipelines connecting ERP, planning, and operational systems, including Oracle Fusion, Anaplan, and Workday.

• Build and support scalable, audit-proof architecture that enables reliable financial reporting and compliance.

• Develop data and AI-powered workflows that enhance forecasting accuracy, compliance automation, and operational efficiency.

• Create and maintain data marts and products that support stakeholders across Revenue, FP&A, Tax, Procurement, Hardware Accounting, and Controller teams.

• Define and enforce best practices for data modeling, lineage, observability, and reconciliation across finance data domains.

• Set the technical direction and manage team structure, mentoring engineers and overseeing contractors or system integrators to ensure delivery of high-quality outcomes.

• Partner with senior leaders across Finance, Engineering, and Infrastructure to align on priorities and integrate new automation capabilities.

• Ensure data systems are AI-ready and capable of supporting predictive analytics, autonomous agent workflows, and large-scale automation.

• Own and maintain Tier-1 data pipelines with strict SLA, data quality, and compliance standards.

• Drive the long-term roadmap for agentic AI enablement to build the foundation for “Finance on OpenAI.”

You might thrive in this role if you have:

• 12+ years in data engineering, with proven experience building and managing enterprise-scale, auditable ETL pipelines and complex datasets

• Proficiency in SQL and Python, with demonstrated experience in schema design, data modeling, and orchestration frameworks

• Expertise in distributed data processing technologies such as Apache Spark, Kafka, and cloud-native storage (e.g., S3, ADLS)

• Deep knowledge of enterprise data architecture, especially within Finance and Supply Chain

• Familiarity with financial processes (close, allocations, revenue recognition) and supply chain data models (Supply and demand planning, procurement, vendor master), along with experience in ingesting data from internal engineering systems with large volumes of B2C

• Experience integrating with contract manufacturers and external logistics providers is a strong plus

• Strong track record of partnering with senior business stakeholders

Work Environment

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

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Microsoft AI are looking for a talented Member of Technical Staff - Data Infra - MAI Superintelligence Team at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

We are on a mission to create the largest and most advanced multimodal dataset in the world. This dataset, spanning all modalities from across the web and beyond, will power the training of the world’s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. The AI Data Infra team at Microsoft AI is responsible for building data infrastructure to help MAI teams to generate the biggest and best training dataset. Our work involves data pipelines, Spark, Ray, Vector Databases, and all other aspects of data infra. We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field.

Accountabilities

• Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video).
• Own and maintain critical data infrastructures, including spark, ray, vector databases, and others.
• Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ year(s) experience in business analytics, data science, software development, or data engineering work OR equivalent experience.

Technical skills:

• Data engineering, data modeling, data science, software development, and data infrastructure.

Personal attributes:

• Passionate about the role of data in large-scale AI model training.
• Will thrive in a highly collaborative, fast-paced environment.
• Have a high degree of expertise and pay close attention to details.
• Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies.

Benefits

• Competitive salary range: $139,900 - $274,800 per year.
• Comprehensive benefits package, including medical, dental, and vision insurance.
• 401(k) matching program.
• Paid time off and holidays.
• Opportunities for professional growth and development.

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