Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Data Infrastructure designs, operates, and scales secure, privacy-respecting systems that power data-driven decisions across Anthropic. Our mission is to provide data processing, storage, and access that are trusted, fast, and easy to use.
We're looking for infrastructure engineers who thrive working at the intersection of data systems, security, and scalability. You'll tackle diverse challenges ranging from building financial reporting pipelines to architecting access control systems to ensuring cloud storage reliability. This role offers the opportunity to work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives.
Responsibilities:
Within Data Infra, you may be matched to critical business areas including:
Data Governance & Access Control:
Design and implement robust access control systems ensuring only authorized users can access sensitive data. Build infrastructure for permission management, audit logging, and compliance requirements. Work on IAM policies, ACLs, and security controls that scale across thousands of users and systems.
Financial Data Infrastructure:
Build and maintain data pipelines and warehouses powering business-critical reporting. Ensure data integrity, accuracy, and availability for complex financial systems, including third party revenue ingestion pipelines; manage the external relationships as needed to drive upstream dependencies. Own the reliability of systems processing revenue, usage, and business metrics.
Cloud Storage & Reliability:
Architect disaster recovery, backup, and replication systems for petabyte-scale data. Ensure high availability and durability of data stored in cloud object storage (GCS, S3). Build systems that protect against data loss and enable rapid recovery.
Data Platform & Tooling:
Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark. Optimize query performance, manage costs, and enable self-service analytics across the organization.
You might be a good fit if you:
Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems
Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead
Can set technical direction for a team, not just execute within it
Have deep experience with at least one of:
Strong proficiency in programming languages like Python, Go, Java, or similar
Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS)
Can navigate complex technical tradeoffs between performance, cost, security, and maintainability
Have excellent collaboration skills - you work well with both technical and non-technical stakeholders
Strong candidates may also have:
Experience with security and compliance requirements (ITGC, GDPR, financial controls)
Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure
Experience with Kubernetes, containerization, and cloud-native architectures
Track record of improving data reliability, availability, or cost efficiency at scale
Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks
Experience working in fintech, financial services, or highly regulated environments
Security engineering background with focus on data protection and access controls
Technologies We Use:
Data: BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran
Storage: GCS, S3
Infrastructure: Terraform, Kubernetes, GCP, AWS
Languages: Python, Go, SQL
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.
Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale — from the source control and language ecosystems that underpin our monorepo, to the build and CI infrastructure that keeps thousands of daily builds running reliably across multiple cloud providers, to the developer acceleration tooling that deeply integrates Claude into engineering workflows.
Team Matching: Team matching is determined after the interview process based on interview performance, interests, and business priorities. Please note we may also consider you for different Infrastructure teams.
Responsibilities:
Own the technical strategy and roadmap for your area, translating team-level goals into concrete execution plans
Define infrastructure architecture, ensuring the hardest problems get solved — whether by you directly or by working through others
Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume workloads across all engineering teams
Own and evolve build environments, package management, and dependency systems to enable fast, reproducible builds
Define and implement language ecosystem standards, tooling, and frameworks that drive developer productivity across research and production workloads
You may be a good fit if you:
Have deep experience with build systems, CI/CD pipelines, and/or developer tooling in a large monorepo environment
Have strong proficiency in Python, Rust and/or Go
Are obsessed with developer productivity and reducing friction in the software development lifecycle
Have experience with container orchestration and infrastructure at scale
Have excellent communication skills and enjoy supporting internal partners to improve their development experience
Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges
Strong candidates may have:
15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure
3+ years (not including internships or co-ops) of experience leading large scale complex projects or teams as a tech lead
Experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar) and merge queue management at scale
Experience building or operating remote build execution systems (Bazel Remote Execution API, BuildBarn, BuildBuddy, or similar)
Experience with Nix/NixOS/Docker and managing large image / package sets at scale
Experience building CLI tools, developer-facing services, and GitHub API and automation workflows
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$625,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote-Friendly (Travel Required) | San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
In case you hadn’t noticed, Anthropic is growing fast. Really, really fast. The People Products team exists to support Anthropic’s mission by defining the blueprint for AI at work. We help hire the best person in the world for every job, ensure manager effectiveness, ramp new hires successfully, and ensure that we apply first principles thinking in how we shape Anthropic’s culture through the tools we build. We cover the entire employee lifecycle from hiring to onboarding, teamwork, and promotions.
You’ll work directly with Claude, with access to capabilities no external team has, on problems that are genuinely unsolved. You’ll move fast — prototype to production in days or weeks. We believe in cross-functional thinkers who can reason across product, design, and engineering. You’ll be given high autonomy, own your decisions, and ship constantly. If you’ve experienced the pain of bad people practices and want to be the person who fixes them at the most consequential AI company in the world, this is that job.
Responsibilities
Build full-stack end-to-end across the People Products portfolio.
Design and implement AI-native workflows: build tools, evals, prompts, and products. You’ll help define what is possible in applied AI for people processes.
Work directly with internal stakeholders — HR teams, recruiters, managers — to understand problems, gather feedback, and iterate quickly without waiting for requirements to be handed down. No gatekeeping, you are expected to talk to your customers.
Make product and architecture decisions independently in a low-structure environment: knowing when to cut scope, when to ship, and when to ask for input.
Contribute ideas for how the team works, what it builds, and where applied AI can have the most leverage in people workflows.
You Might Be a Good Fit If You:
Have 8+ years of relevant experience as a Fullstack or product engineer, with a track record of leading complex, multi-month projects or teams as a tech lead or equivalent
Have shipped LLM-native features or applications.
Derive joy from hard work and the act of creation.
Are experienced enough to build big features independently, and make great architectural decisions along the way.
Are self-sufficient end-to-end: you can go from idea to production without needing a designer, PM, or architect to unblock you.
Move fast without cutting corners: you hold a high quality bar and know how to make smart tradeoffs under time pressure.
Engage directly with users and criticism: you’re comfortable talking to internal customers, hearing hard feedback, and incorporating it quickly.
Are genuinely mission-driven: you care about the intersection of AI and people practices, not just the technical puzzle.
Are a collaborative, supportive teammate: you bring people along, communicate clearly about tradeoffs, and make the people around you better.
Strong Candidates May Also Have:
Familiarity with MCP (Model Context Protocol) or prior experience building Claude or LLM integrations in production.
Background at an AI-native company or in a product-focused 0->1 engineering environment.
Experience with HR tech platforms such as Greenhouse, Workday, or Rippling.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Mexico
You
Are passionate about technology, wake up every morning to experiment, learn and develop new solutions!
About Us
At DBSync we provide opportunities to use technology that creates innovative and next generation data integration products which helps our employees to cultivate their creativity and sense of belonging. DBSync is a leading provider for data integration and Data warehousing services for both cloud/SAAS-based-on-demand applications. We were incubated by Salesforce.com (as a part of Avankia), before getting spunned off as a separate company. DBSync provides data integration as a SAAS-based, Standalone or hosted integration at a competitive price with a plethora of benefits for business users.
Our main motto is to provide a strong foundation for businesses in solving complex problems and automating their workflows while acting as a pillar of support for all their data integrations needs. At DBSync we encourage innovation and creativity and our team is diverse, comprising a nice mix of cultural blends. We are a family where each talent is recognised and honed for the best of the individual and the company as a whole. We maintain a very professional, learn and excel vision with a hint of a start-up-like environment making each individual feel important and responsible with an equal opportunity to grow to the sky’s limit!
If you have a spirit of enthusiasm to grow beyond horizons, a determination to work hard, confidence to achieve success and influence future visions and products and be a successful part of the next gen trend,DBSync is the place for you!
Our Value System
1. We genuinely care
2. We do not waste time on manual or mundane task
3. We have a fun environment
4. We own it
5. We are experts on what we do
6. We win together
DBSync has been:
We have been rated 4.7 / 5 on G2. We have got around 125 reviews in 2023.
Based on the reviews G2 has awarded DBSync following badges:
-Best Relationship- Winter 2024
-Leader Americas Winter 2024
-Best Results - Winter 2024
-Best Usability - Winter 2024
About the Role
We're looking for a Solutions Sales Engineer to join DBSync. This is a hybrid role that sits between sales and delivery: you'll support the sales cycle through technical discovery, demos, and proof-of-concepts, and you'll work alongside our services team to scope and stand up integration solutions for Mid-Market and Enterprise clients.
DBSync is an iPaaS company. Our value is reliable, maintainable integration between CRMs, accounting systems, and ERPs. The ideal candidate pairs strong integration and data fundamentals with the customer-facing skill to translate technical solutions into business value and uses AI and analytics to make those solutions smarter, not as a substitute for solid integration design.
Roles and Responsibilities:
Solution Design & Scoping: Work with sales and customers to understand source and target systems, data volumes, and sync requirements; design integration solutions and scope the work needed to deliver them.
Technical Demos & POCs: Prepare and deliver demos, proof-of-concepts, and trials of DBSync integrations, showing how data flows and syncs across CRM, accounting, and ERP systems.
Integration Delivery Support: Partner with the services team to build, configure, and validate integration workflows — field mapping, transformation logic, sync triggers, scheduling, and error handling.
Data & Systems Expertise: Apply working knowledge of SQL, APIs, and the object models of common CRM and accounting/ERP systems to design integrations that hold up in production.
Customer Engagement: Support clients through onboarding and adoption, troubleshoot integration issues, and recommend improvements.
AI & Analytics Enablement: Where it adds value, layer AI-driven features (automation, predictive insight, conversational interfaces) onto integration solutions; identify where analytics can surface ROI for the customer.
Feedback & Strategy: Gather client feedback, identify common patterns, and feed them back into product, templates, and sales positioning.
Governance & Compliance: Ensure solutions meet data governance, security, and compliance standards.
Enablement: Train sales teams on integration capabilities and how to position them; document solutions for repeatable delivery.
Cross-functional Collaboration: Act as the bridge between customers, sales, engineering, product, and customer success from concept through operational delivery.s..
Skills and Qualifications:
Required:
Bachelor's degree in Engineering, Computer Science, Business, or a related field — or equivalent experience.
3+ years in technical sales, solutions/sales engineering, integration consulting, data management, or a related technical-customer-facing role.
Hands-on knowledge of CRM systems (Salesforce, Microsoft Dynamics, HubSpot) and accounting/ERP systems (QuickBooks Online, QuickBooks Desktop, Microsoft Dynamics 365 Business Central, NetSuite, or Xero).
Solid grasp of integration concepts: APIs (REST/SOAP), data mapping and transformation, sync logic, scheduling, and error handling.
Proficiency with SQL and comfort working with APIs and tools like Postman.
Excellent communication and customer-facing skills, with the ability to translate technical concepts into business value for non-technical stakeholders.
Strong problem-solving, teamwork, and collaboration abilities.
Fluency in English.
Nice to Have:
Experience with iPaaS or middleware platforms (DBSync, MuleSoft, Boomi, Workato, Celigo, etc.).
Familiarity with AI tools and frameworks (LLMs, chatbots, predictive analytics, automation platforms) and how to apply them to integration and data workflows.
Experience with BI/analytics tools (Power BI, Tableau).
Scripting or automation experience (e.g., Python).
Additional languages beyond English.
Certifications in data analytics, AI/ML, or relevant CRM/ERP platforms.
Work Shift:
U.S. Shift (8:00 AM CST to 5:00 PM CST)
Location:
Mexico (Remote)
For more information about DBSync, visit
https://www.mydbsync.com
Video:
https://www.youtube.com/playlist?list=PLJzycdoERLoekPWNkXEsuih807TQAEnnB
Requirements
Benefits
Location: Zürich, CH
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with.
You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models.
Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends.
Responsibilities:
Implement and optimize post-training techniques at scale on frontier models
Conduct research to develop and optimize post-training recipes that directly improve production model quality
Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation
Develop tools to measure and improve model performance across various dimensions
Collaborate with research teams to translate emerging techniques into production-ready implementations
Debug complex issues in training pipelines and model behavior
Help establish best practices for reliable, reproducible model post-training
You may be a good fit if you:
Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities
Adapt quickly to changing priorities
Maintain clarity when debugging complex, time-sensitive issues
Have strong software engineering skills with experience building complex ML systems
Are comfortable working with large-scale distributed systems and high-performance computing
Have experience with training, fine-tuning, or evaluating large language models
Can balance research exploration with engineering rigor and operational reliability
Are adept at analyzing and debugging model training processes
Enjoy collaborating across research and engineering disciplines
Can navigate ambiguity and make progress in fast-moving research environments
Strong candidates may also:
Have experience with LLMs
Have a keen interest in AI safety and responsible deployment
We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Federal DoW/IC Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across DoW/IC agencies. You'll leverage your deep understanding of DoW/IC operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the DoW/IC market while maintaining the highest standards of security and compliance.
Responsibilities:
Drive new business and revenue growth specifically within DoW/IC agencies, owning the full sales cycle from initial outreach through deployment
Navigate the unique requirements of DoW/IC procurement, including DFAR compliance, ITAR/EAR regulations, security clearance requirements, and agency-specific security protocols
Build and maintain relationships with key decision-makers across DoW/IC agencies, becoming a trusted advisor on AI capabilities and implementation in classified and unclassified environments
Develop and execute strategic account plans that align with mission requirements, operational needs, and modernization initiatives
Coordinate closely with cleared cloud service providers and cleared system integrators to ensure successful deployment and integration
Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet DoW/IC requirements, including classification levels and air-gapped environments
Create and maintain sales playbooks specific to DoW/IC use cases, procurement processes, and security requirements
Take a leadership role in growing our DoW/IC presence while maintaining hands-on engagement with key accounts
Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements with proper security protocols
You may be a good fit if you have:
7+ years of enterprise sales experience in the DoW/IC space, with a proven track record of driving adoption of emerging technologies
Deep understanding of DoW/IC agency missions, operational challenges, and technology needs across classification levels
Active security clearance (TS/SCI preferred) with ability to discuss capabilities in classified environments
Demonstrated ability to balance strategic leadership with hands-on sales execution in high-security environments
Experience navigating complex DoW/IC procurement processes, including knowledge of SEWP, CIO-SP3, GSA, and other relevant contracting vehicles
Strong track record of exceeding revenue targets in the DoW/IC space
Extensive experience with DoW/IC contracting vehicles, procurement mechanisms, and security compliance requirements
Excellent relationship-building skills across all levels, from technical teams to senior agency leadership, including military and civilian leadership
Proven ability to coordinate across multiple stakeholders, including cleared cloud providers, cleared system integrators, and security personnel
Strategic thinking combined with attention to detail in execution, particularly regarding security protocols
A passion for safe and ethical AI development, with the ability to articulate its importance in national security contexts
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$380,000
—
$450,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the teams
Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work spans several key areas:
Developing systems that enable models to use computers effectively
Advancing code generation through reinforcement learning
Pioneering fundamental RL research for large language models
Building scalable RL infrastructure and training methodologies
Enhancing model reasoning capabilities
We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish.
About the Role
As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation.
Representative projects:
Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows.
Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models.
Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows.
Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research.
You may be a good fit if you:
Are proficient in Python and async/concurrent programming with frameworks like Trio
Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX)
Have industry experience in machine learning research
Can balance research exploration with engineering implementation
Enjoy pair programming (we love to pair!)
Care about code quality, testing, and performance
Have strong systems design and communication skills
Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems
Strong candidates may have:
Familiarity with LLM architectures and training methodologies
Experience with reinforcement learning techniques and environments
Experience with virtualization and sandboxed code execution environments
Experience with Kubernetes
Experience with distributed systems or high-performance computing
Experience with Rust and/or C++
Strong candidates need not have:
Formal certifications or education credentials
Academic research experience or publication history
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£260,000
—
£630,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote-Friendly (Travel Required) | San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic is seeking an experienced Datacenter Controls Engineer to join our Datacenter Infrastructure team. In this role, you will design, implement, and optimize control systems that support our global datacenter infrastructure, enabling the reliable operation of AI at scale.
You will work on cutting-edge control systems managing critical datacenter operations including liquid cooling systems (CDUs/CDMs), HVAC, electrical power monitoring systems, and building automation systems. This position requires both technical depth in industrial automation and the ability to collaborate across disciplines to deliver integrated solutions for high-density AI compute infrastructure.
Responsibilities
System Architecture & Integration
Design and implement multi-site controls architecture across Anthropic's global datacenter facilities
Define network topology, redundancy, and high-availability requirements for control nodes and servers
Develop and maintain standardized frameworks for BACnet, Modbus TCP/IP, OPC-UA, MQTT, and SNMP communication layers
Ensure integration between control systems and enterprise networks while maintaining security boundaries and compliance with cybersecurity frameworks for industrial control systems
Control System Design & Implementation
Define, design, develop, and implement control systems for datacenter mechanical, electrical, and building management systems with focus on AI compute environments
Develop SCADA/BMS applications using platforms including Ignition, Niagara/Tridium, or similar HMI/supervisory systems
Select and specify instrumentation including sensors, transmitters, actuators, and control valves for liquid cooling loops, power distribution, and environmental monitoring
Data Collection & Visualization
Architect and supervise deployment of centralized telemetry systems capable of storing high-resolution time-series data from power, thermal, and environmental sensors
Develop intuitive dashboards and visualization layers using Ignition SCADA, Grafana, or comparable frameworks for facilities, operations, and engineering teams
Leverage control systems to enable performance insights, fault detection, and predictive maintenance capabilities
Construction Integration & Documentation
Participate in new design and construction projects to ensure controls and BMS standards are embedded from design through commissioning
Define and review controls and instrumentation specifications in architectural and MEP packages
Create comprehensive technical documentation including P&IDs, control narratives, sequence of operations, and commissioning procedures
Validate installed systems during commissioning for proper network configuration, protocol compatibility, and data visibility
Minimum Qualifications
Bachelor's degree in Engineering (Electrical, Controls, Mechanical, Computer) or equivalent practical experience
7+ years of experience in control systems design and implementation for industrial automation, building automation, or datacenter systems
Deep familiarity with industrial communication protocols: BACnet, Modbus TCP/IP, OPC-UA, MQTT, SNMP, Ethernet-IP
Experience with instrumentation selection, control panel design, and control system integration
Working knowledge of network architecture including subnets, VLANs, firewall rules, and IP management
Strong documentation skills and ability to work effectively in cross-functional teams
Preferred Qualifications
10+ years in datacenter, critical facilities, or mission-critical infrastructure environments
Experience with liquid cooling systems including CDUs, CDMs, and cooling tower control systems
Background in high-density rack integration environments and AI/ML compute infrastructure
Experience designing or deploying BMS/SCADA systems such as Ignition, Niagara/Tridium, Wonderware, or similar
Strong background in database integration (SQL Server, InfluxDB, PostgreSQL, TimescaleDB) and data logging architecture
Proficiency in Python or scripting for automation/configuration within SCADA/BMS frameworks
Experience deploying multi-site redundant controls servers with high-availability requirements
Professional Engineering (PE) license or vendor certifications (Schneider, Rockwell, Siemens)
Knowledge of relevant codes and standards: ASHRAE, NFPA, IEEE, ISA
Familiarity with Grafana, Node-RED, Ignition Perspective, or equivalent visualization tools
Experience bridging cloud orchestration systems with facility-level power controls and load management (e.g., DCIM, BMS, EPMS)
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is looking for a Senior Partner Account Manager (PAM) to own our relationship with one to two of the world's largest global systems integrators. This is a general-management role disguised as an alliance role: you will set the multi-year joint strategy with the partner's C-suite, negotiate the strategic agreement that underpins it, and then build the machine — go-to-market, solution co-development, delivery readiness, and enablement at a scale of tens of thousands of practitioners — that turns Claude into one of the partner's largest and fastest-growing practices.
You will be measured on the size and health of the joint business: progress against a $1B+ Claude practice plan, Anthropic ARR sourced and influenced through the partner, certified and delivery-ready practitioners (50,000+), co-developed solutions in market with reference-able customers, and the depth of executive alignment on both sides.
Key responsibilities
Own the joint business.
Build and run a multi-year joint business plan with each GSI covering services bookings, Anthropic ARR, priority industries and geographies, investment, and headcount. Report on it to Anthropic and partner executive leadership quarterly.
Lead at the C-suite.
Be the primary Anthropic relationship owner for the partner's Group CEO, service-line and industry CEOs, CTO/Chief AI Officer, and Chief Learning Officer. Map and activate Anthropic executive sponsors, run CEO-level QBRs, and shape the partner's public AI narrative (earnings calls, analyst days, flagship events) around Claude.
Negotiate the strategic agreement.
Structure and close multi-year strategic collaboration agreements spanning consumption and resale commitments, co-investment and market development funds, co-marketing, IP and solution terms, and enterprise-wide internal deployment of Claude across the partner's own workforce.
Co-develop solutions.
Partner with Anthropic Product, Applied AI, and the GSI's CTO office to co-build industry and horizontal offerings, agentic and Claude Code delivery accelerators, and reference architectures; take them to market with named launch customers and published references.
Build a 50,000+ practitioner practice.
Design and land a certification and delivery-readiness system inside the partner — embedded in their academy/L&D, train-the-trainer led, tied to Claude Partner Network tier requirements — and hold the partner accountable to capability they build themselves rather than capacity Anthropic supplies.
Drive global co-sell.
Stand up joint account planning and pursuit governance with Anthropic field leadership across NA, EMEA, and APAC; personally engage on the largest strategic pursuits; ensure clean attribution through deal registration and CRM discipline.
Run alliance governance.
Establish and chair a joint steering committee with named workstreams (GTM, solutions, delivery readiness, enablement, marketing), clear owners on both sides, and a published operating cadence.
Lead through others.
Orchestrate a global virtual team of partner solutions architects, partner marketing, enablement, regional PAMs, and sales leaders; mentor PAMs across the team; scope and make the case for dedicated resourcing as the business scales.
Shape the program.
Bring the voice of the largest GSIs into Anthropic's partner strategy, Elite-tier program design, and product roadmap.
Minimum qualifications
15+ years in alliances, partner sales, or consulting leadership, including 8+ years owning a top-tier GSI relationship (e.g., IBM, NTT Data, Capgemini) at a hyperscaler or category-defining enterprise software/AI company — or the mirror-image role leading a hyperscaler/AI alliance from inside a GSI.
A track record of personally building or scaling a partner practice to $500M–$1B+ and tens of thousands of trained practitioners, with the joint business plan, governance, and metrics to show for it.
Demonstrated C-suite presence: you have set agendas with GSI Group CEOs and service-line leaders, and you can hold a strategy conversation and a commercial negotiation in the same meeting.
Experience negotiating and closing multi-year strategic collaboration agreements with nine-figure commitments.
Fluency in GSI economics — utilization, pyramid, offering margin, industry P&Ls, delivery-center models — and how a new technology practice actually gets funded and staffed inside one.
A strongly commercial orientation: you are a business driver first and a relationship manager second, and you are comfortable pushing a partner to invest in its own capability.
Global operating experience across NA, EMEA, and APAC, including time with India-based delivery leadership.
Low ego, high curiosity, and a habit of making the people around you better; you put the mission ahead of personal credit.
Preferred qualifications
Experience launching co-developed partner solutions with a product/engineering organization, including agentic or developer-tooling offerings.
Prior ownership of a large-scale partner certification or academy program.
Hands-on familiarity with Claude, Claude Code, LLM application architectures, and enterprise AI deployment and governance.
Experience at a high-growth company where the program was being built while the plane was flying.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's Infrastructure organization is the engine that powers our mission. Every breakthrough in AI safety research and every interaction users have with Claude depends on the systems we build and operate: massive clusters for training frontier models, production infrastructure serving millions of users reliably, and developer platforms that help engineers move fast without breaking things.
As a Technical Program Manager for Infrastructure, you’ll work across multiple infrastructure domains to coordinate complex programs that have broad organizational impact. You’ll be solving novel scaling challenges at the frontier of what's possible, all while maintaining the security and reliability our mission demands.
This role is ideal for someone who thrives in ambiguity and believes their job is to make everyone around them more effective. You’ll partner closely with engineering leadership to drive strategic initiatives while ensuring seamless coordination between research, engineering, and product teams.
What you’ll do:
Developer Productivity & Tooling
Drive cross-functional programs to improve developer environments, CI/CD infrastructure, and release processes that enable rapid innovation while maintaining high security standards
Coordinate large-scale migrations and platform modernization efforts across engineering teams
Partner with teams to measure and improve developer productivity metrics, identifying bottlenecks and driving systematic improvements
Lead initiatives to integrate AI tools into development workflows, helping Anthropic be at the forefront of AI-assisted research and engineering
Infrastructure Reliability & Operations
Drive programs to establish and achieve reliability targets across training infrastructure and production services
Coordinate incident response improvements, post-mortem processes, and on-call rotations that help teams operate effectively
Establish metrics and dashboards to track infrastructure health, capacity utilization, and operational excellence
Cross-functional Coordination
Serve as the critical bridge between infrastructure teams, research, and product, translating technical complexities into clear updates for a variety of audiences
Consult with stakeholders to deeply understand infrastructure, data, and compute needs, identifying solutions to support frontier research and product development
Drive alignment on priorities and timelines across teams with competing constraints
You May Be a Good Fit If You
Have 5+ years of technical program management experience, with a track record of successfully delivering complex infrastructure programs in ML/AI systems or large-scale distributed systems
Have deep technical understanding of infrastructure systems—enough to engage substantively with engineers, identify technical risks, and add value beyond project tracking
Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives
Have strong stakeholder management skills and can build trust with both technical and non-technical partners
Are comfortable navigating competing priorities and using data to drive technical decisions
Have experience with developer productivity initiatives, CI/CD systems, or infrastructure scaling
Thrive in fast-paced environments and can balance strategic planning with tactical execution
Are obsessed with reliability, scalability, security, and continuous improvement
Have a passion for supporting internal partners like research to understand their unique needs
Are passionate about AI infrastructure and understand the unique challenges of building and operating systems at frontier scale
Experience with Kubernetes, cloud platforms (AWS, GCP, Azure), and ML infrastructure (GPU/TPU/Trainium clusters)
Background working with research teams and translating their needs into concrete technical requirements
Experience driving adoption of AI tools to improve engineering productivity
Familiarity with observability tooling and practices
Deadline to Apply:
None, applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is building the Applied AI team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Forward Deployed Engineers embed directly with strategic customers to ship production AI applications that solve real business problems. As this practice grows, we need a founding leader to build and scale it.
As the first FDE Manager, you'll own the team that sits at the frontier of enterprise AI deployment. You'll hire and develop a high-performing team of FDEs, set the technical and operational bar for customer engagements, and build the playbooks that turn one-off successes into repeatable patterns. You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments.
This is a player-coach role with a strong bias toward leadership. You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters — but your primary impact will come from the people you hire, the standards you set, and the culture you create. You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction.
This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic — there is no existing playbook to follow.
Responsibilities
Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set a high bar for technical talent and customer instincts.
Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where FDEs do the best work of their careers.
Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities.
Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work.
Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems.
Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed.
Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field.
Define team OKRs that tie to customer success outcomes and product adoption goals. Create operational cadences — standups, retros, engagement reviews — that keep the team aligned.
Partner with Product and Engineering to translate field insights into product improvements. Serve as the voice of the customer in internal planning.
Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts.
You may be a good fit if you have
10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting.
2+ years of people management experience within a services/post-sales/FDE organization with a track record of hiring, developing, and retaining strong engineers.
Experience building organizations from 0->1, not just inheriting an existing one.
Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organizational dynamics.
Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers.
Strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences.
Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist.
Why this role matters
You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation — all while advancing the responsible development of frontier AI systems.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Berlin, Remote; Barcelona
Workplace: remote
Our Implementation team plays a key role in onboarding seamlessly new customers: they are working cross departments (Sales, Product and Customer Success) to understand and document client use cases and requirements and then translate them into the set-up and configuration of the 360Learning platform.
You will manage all phases of the implementation lifecycle, from sales turnover and kick off to handover to support. You will drive project management, define 360Learning platform architecture for our clients, facilitate integrations (flat files, API’s) and 3rd party apps, guide and provide assistance in order to ensure the successful deployment of their platform.
In addition, you will follow your customers' portfolio along their contract to increase product adoption, as well as to deliver Solutions complementary to the Product like platform audits.
Within 1 month, you will:
Become a Trello expert through our onboarding process
Understand our product offering through training
Master our platform and be able to support clients on basic requests through ticketing
Within 3 months, you will:
Start to onboard your own new clients:
Drive project management in order to ensure successful platform deployment from kick-off meeting, regular touchpoints until handover to support
Host functional and technical workshops with clients to support them in their platform customization and structuring
Within 6 months, you will:
Ensure the smooth 360Learning platform deployment for new clients
Successfully implement integration (SSO, third-party tools), deliver technical expertise on how to integrate their learning platform into their technical environment & troubleshooting
Be able to pitch the value of the 360Learning platform
Develop repeatable and scalable processes to improve project quality and delivery
Within 12 months, you will:
Onboard another Solution Deployment Manager
Contribute to our knowledge base to share best practices and lessons learned
Work with our partner ecosystem to strengthen the services proposed to our clients
The Skills Set
Minimum 4 years professional consulting experience, preferably in a customer facing role (Technical consultant, Technical Account Manager, Technical Project Manager, Implementation Project manager or Pre-sales Consultant)
Previous deployment experience of SaaS products, ideally HR related
Project management skills
Understanding and experience working with APIs, SSO configuration & troubleshooting
Solution-oriented, client-first mindset in everything you do
Ability to adapt to your audience, flexibility in tackling a conversation with highly technical stakeholders, and reducing complexity to more common terms with less technical stakeholders
Organized, structured, rational, analytical, able to manage priorities across multiple customer implementations
Fluent German, very good English proficiency (level B2)
Enthusiasm for our culture:
https://bit.ly/Convexity360L
Interview Process
Phone Screen with our Talent Acquisition Manager
Discovery Meeting with Solution Deployment Manager Coach
Case Study with the Coach and a Solution Deployment Manager
Clarification Meeting with a future team colleague
Culture Fit Meeting with our Chief HR Officer
Offer !
⇾ Get ready using our Knowledge Base:
https://bit.ly/42H1ggC
What We Offer
Compensation:
Package includes base salary, a variable component and equity 📈
Benefits:
Work From Home perks, medical insurance, 1 month parental leave for the second parent.
Balance
: Flexible hours, full remote work possible anywhere in Germany 🏠. Working remotely from outside Germany is also possible, subject to some conditions (tenure, performance, destination, length, etc.) and the approval of our Remote Committee 🌍
Diversity, Equity, and Inclusion
: We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact
Corporate Social Responsibility
: Review our CSR Charter:
360learning.com/blog/corporate-social-responsibility-charter
🌎🌏🌍
Culture:
A framework that will help you make an impact - envision our way of working and our Convexity Culture:
https://bit.ly/Convexity360L
& find out more about the teams, product and processes
https://bit.ly/42H1ggC
🚀👩🏻💻🏆
#LI-JS
Who We Are
360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place.
360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA.
Learning Includes Everyone.
In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Safeguards Engineering builds and operates the infrastructure that keeps Anthropic's AI systems safe in production — the classifiers, detection pipelines, evaluation platforms, and monitoring systems that sit between our models and the real world. That infrastructure needs to be not just correct, but
reliable
: when a safety-critical pipeline goes down or degrades, the consequences can be serious, and they can be invisible until someone looks closely.
As a Technical Program Manager for Safeguards Infrastructure and Evals, you'll own the operational health and forward momentum of this stack. Your primary responsibility is driving reliability — owning the incident-response and post-mortem process, ensuring SLOs are defined and met in partnership with various teams, and making sure that when things go wrong, the right people know, the right actions get taken, and those actions actually get closed out. Alongside that ongoing operational rhythm, you'll coordinate the larger platform investments: migrations, eval-platform improvements, and the cross-team dependencies that connect them.
This role sits at the intersection of operations and program management. It requires genuine technical depth — you need to understand how these systems work well enough to triage effectively, judge what's actually safety-critical versus what can wait, and have informed conversations with the engineers building and maintaining them. But the core of the job is keeping the machine running well and the work moving.
What You'll Do:
Own the Safeguards Engineering ops review -
Drive the recurring cadence that keeps the team informed and coordinated: surfacing recent incidents and failures, bringing visibility to reliability trends, and making sure the right people are in the room when decisions need to be made. This is the heartbeat of how Safeguards Eng stays ahead of operational risk.
Drive incident tracking and post-mortem execution -
When incidents happen — and in this space, they happen regularly — you'll make sure they get followed through properly. That means tracking incidents across the organization (including those owned by partner teams like Inference), ensuring post-mortems get written, and most critically, making sure the action items that come out of them actually get done. Closing the loop on post-mortem actions is one of the highest-leverage things this role does.
Establish and maintain SLOs with partner teams -
Work with Safeguards Engineering teams and key partners — particularly Inference and Cloud Inference — to define service-level objectives for safety-critical pipelines. Then build the tracking and reporting that makes it possible to tell whether those SLOs are being met, and surface it when they're not.
Maintain runbook quality and incident-ownership clarity -
Safety-critical systems need clear playbooks for when things go wrong. Partner with engineering leads to keep runbooks accurate, actionable, and up to date — and ensure that ownership of incidents is unambiguous so that nothing falls through the cracks during an active incident.
Drive platform migrations and infrastructure projects -
Own the program management for the larger infrastructure work on the roadmap: migrating the infra from one platform to the next, moving from one incident platform to the next and from one cloud system monitoring to another, and other migrations as they come. These are cross-team efforts with real dependencies — your job is to keep them sequenced, on track, and connected to the teams that need them.
Coordinate evals platform improvements -
Partner with the evals engineering team to drive improvements to the evaluation platform — including self-serve capabilities and the broader eval factory infrastructure. Help scope the work, track dependencies on other Safeguards systems, and make sure the evals platform is keeping pace with the team's needs.
You might be a good fit if you:
Have solid technical program management experience, particularly in operational or infrastructure-heavy environments — you're comfortable owning a mix of ongoing operational cadences and discrete project work simultaneously.
Understand how production ML systems work well enough to triage incidents intelligently and have substantive conversations with engineers about what's going wrong and why — you don't need to write the code, but you need to follow the technical thread.
Are energized by closing loops. Post-mortem action items that never get done, SLOs that no one checks, runbooks that go stale — these things bother you, and you know how to build the processes and follow-ups that fix them.
Can work effectively across team boundaries — comfortable coordinating with partner teams (like Inference) where you don't have direct authority, and skilled at keeping shared work moving through influence and clear communication.
Thrive in environments where the work shifts between "keep the lights on" and "build something new" — and can context-switch between incident follow-ups and longer-horizon platform projects without dropping either.
Have experience with or strong interest in AI safety — you understand why the reliability of a safety-critical pipeline is a different kind of problem than the reliability of a product feature, and that distinction motivates you.
Strong candidates may also:
Have experience with SRE practices, incident management frameworks, or on-call operations at scale.
Have worked on or with evaluation infrastructure for ML systems — understanding how evals get designed, run, and interpreted.
Have experience driving infrastructure migrations in complex, multi-team environments — particularly where the migration touches operational systems that can't go offline.
Be familiar with monitoring and alerting tooling (PagerDuty, Datadog, or equivalents) and the operational culture around them.
Deadline to apply:
None, applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We're looking for a Staff Software Engineer to set technical direction at the intersection of engineering and research on the Claude Code team. In this role, you'll partner directly with Anthropic's researchers and engineering leadership to shape how we measure, understand, and improve Claude's coding capabilities. You'll architect the systems, tooling, and evaluation infrastructure that determine how quickly our research can move—and you'll be accountable for the technical decisions that ripple across the team and beyond. This is a senior individual contributor role for someone who has already built and owned systems at significant scale, and who is ready to operate as a technical leader: driving architecture, mentoring engineers, and influencing the direction of Claude Code itself.
Responsibilities
Set technical direction for evaluation systems, research infrastructure, and internal tooling across the Claude Code team
Architect eval frameworks that measure model capabilities across diverse coding tasks and scale with our research roadmap
Lead the design of infrastructure that enables researchers to run experiments at scale, and make the foundational tradeoffs that shape how the team operates for years
Identify the highest-leverage engineering investments—often before anyone has asked for them—and drive them to completion
Serve as a senior technical bridge between product and research, using strong product intuition to influence which capabilities we prioritize and how we measure progress against them
Mentor and raise the bar for other engineers on the team; review designs, unblock peers, and model the engineering standards we want to scale
Partner with research leads to translate ambiguous research questions into durable engineering solutions
Own critical systems end-to-end, from architecture through production reliability, and take responsibility for their long-term health
You may be a good fit if you:
Have 10+ years of software engineering experience, with a track record of operating as a Staff or Principal engineer (or equivalent) at a high-caliber organization
Have architected and owned complex, high-stakes systems—pipelines, infrastructure, or platforms that orchestrate many components, handle significant state and logic, and serve multiple teams
Have a history of setting technical direction that others follow—through design docs, architectural decisions, or technical strategy that shaped how a team or org operates
Thrive in high-intensity environments with fast iteration cycles, and have the judgment to know when to move fast and when to invest in durability
Take full ownership of ambiguous, open-ended problems and drive them to completion with minimal direction
Are a power user of agentic coding tools with deep intuition about model capabilities and limitations
Can dive into unfamiliar technical domains—ML systems, research workflows, novel infrastructure—and get to the frontier quickly
Care deeply about correctness and reliability, and have raised engineering standards on teams you've been part of
Are energized by working at the boundary between engineering and AI research, and by the prospect of influencing both
Strong candidates may also have experience with:
Designing or scaling eval/evaluation frameworks for ML systems
Reinforcement learning infrastructure or training systems
Leading technical initiatives in high-performance, demanding environments—trading firms, quant funds, frontier research labs, or fast-moving startups where intensity and technical excellence are the norm
Research computing, scientific infrastructure, or developer platforms at scale
A strong quantitative foundation (math, physics, or related fields)
Expertise in Python and TypeScript
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Almaty, Kazakhstan
Workplace: fully
About Global University Systems (GUS)
Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement.
About the Role
The Business Development Manager for International Student Recruitment will oversee all student recruitment activities, business development activities, account management, and marketing events for B2B channels across the country or region you will manage. You will collaborate with Company Directors to develop B2B channels and implement marketing and sales strategies to promote international student recruitment for GUS. You will be representing one of our universities or colleges located in either Europe, North America, or Asia.
Requirements
Essential Criteria
You will have experience in international student recruitment for higher education in the US.
• You have an established and relevant agency network and solid relationships with key stakeholders within these agencies.
• A solid understanding of industry trends is essential to inform the group’s strategic planning and forecasting.
• You will have developed and trained education agents on how to promote the brand you represent.
• You will have experience sourcing agents from fairs, business trips, enquiries, referrals, and general searches in line with business development responsibilities.
• You will have experience generating new revenue from existing streams and accounts, as well as identifying new opportunities.
• You will have a proven track record of assisting in identifying, supporting, and developing potential business partners and growing existing client relationships.
• You will have experience performing client research, including (but not limited to) meeting and engaging with key players in the industry.
• You will be a highly motivated individual who strives for success in all areas.
• You are confident in delivering workshops and presentations, hosting conferences, and being in front of the camera.
Desirable Criteria
• Salesforce or database management experience.
• We will consider applicants who have represented an institution directly (located anywhere within your region) or who have significant agency experience where they have managed a sub-network of agents.
Location
The position is home-based with travel. Ideally, you will be located within your country and able to travel with ease, as your main marketing activities will be held in this area (where agents are based).
Other Information
Global University Systems equal opportunity employer. We provide equal opportunities and are committed to the principle of equality regardless of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, record of offences, marital status, family status or disability.
The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager.
There is an expectation that all employees will maintain the values of the Group and will comply with the code of conduct as well as equality and diversity, health and safety and safeguarding policies.
Location: Almaty, Kazakhstan
Workplace: fully
About Global University Systems (GUS)
Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement.
About the Role
The Business Development Manager for International Student Recruitment will oversee all student recruitment activities, business development activities, account management, and marketing events for B2B channels across the country or region you will manage. You will collaborate with Company Directors to develop B2B channels and implement marketing and sales strategies to promote international student recruitment for GUS. You will be representing one of our universities or colleges located in either Europe, North America, or Asia.
Requirements
Essential Criteria
You will have experience in international student recruitment for higher education in the US.
• You have an established and relevant agency network and solid relationships with key stakeholders within these agencies.
• A solid understanding of industry trends is essential to inform the group’s strategic planning and forecasting.
• You will have developed and trained education agents on how to promote the brand you represent.
• You will have experience sourcing agents from fairs, business trips, enquiries, referrals, and general searches in line with business development responsibilities.
• You will have experience generating new revenue from existing streams and accounts, as well as identifying new opportunities.
• You will have a proven track record of assisting in identifying, supporting, and developing potential business partners and growing existing client relationships.
• You will have experience performing client research, including (but not limited to) meeting and engaging with key players in the industry.
• You will be a highly motivated individual who strives for success in all areas.
• You are confident in delivering workshops and presentations, hosting conferences, and being in front of the camera.
Desirable Criteria
• Salesforce or database management experience.
• We will consider applicants who have represented an institution directly (located anywhere within your region) or who have significant agency experience where they have managed a sub-network of agents.
Location
The position is home-based with travel. Ideally, you will be located within your country and able to travel with ease, as your main marketing activities will be held in this area (where agents are based).
Other Information
Global University Systems equal opportunity employer. We provide equal opportunities and are committed to the principle of equality regardless of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, record of offences, marital status, family status or disability.
The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager.
There is an expectation that all employees will maintain the values of the Group and will comply with the code of conduct as well as equality and diversity, health and safety and safeguarding policies.
Location: United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role:
The role involves forming technical hypotheses, designing targeted tests, analyzing system logs and low-level hardware data, and distinguishing between GPU, host, firmware, interconnect, thermal, and physical hardware failures. It requires strong ownership, curiosity, and the ability to turn ambiguous problems into evidence-based conclusions and repeatable troubleshooting procedures.
This is a senior systems engineering role focused on diagnosing and resolving complex hardware and platform failures in high-performance AI infrastructure. This engineer will work across Linux, GPU servers, PCIe, firmware, power, and cooling to determine the true root cause of issues that may not have an existing troubleshooting procedure.
What skills we expect you to have:
Minimum 5 years of hands-on systems engineering experience across Linux, server hardware, firmware, PCIe, and GPU or high-performance computing platforms.
Extensive Linux experience, particularly using Linux as an environment for hardware debugging, system-level troubleshooting, and platform investigation.
Knowledge of the Linux kernel and experience with kernel-level debugging or troubleshooting.
Strong knowledge of modern server architecture, particularly in high-performance, GPU-based environments.
Strong knowledge of NVIDIA GPU platforms and diagnostic tooling, including nvidia-smi, XID and SXID analysis, GSP and driver behaviour, NVLink, NVSwitch, Fabric Manager, DCGM diagnostics, and NCCL testing
Deep knowledge of PCIe, including topology, enumeration, root complexes, endpoints, switches, bridges, retimers, link speed and width, AER and DPC errors, completion timeouts, and link failures. Candidates should understand how protocol-level errors can relate to physical-layer or signal-integrity problems.
Experience benchmarking systems for performance, stability, power efficiency, thermal behaviour, and workload characteristics
In depth understanding of firmware interactions across BIOS/UEFI, BMC, CPLD/FPGA, GPU firmware, NIC firmware, and other platform components.
Experience with low-level hardware communication and debugging using I²C, SMBus, PMBus, register maps, bit masks, byte- and word-level data, and device datasheets.
Demonstrated ability to troubleshoot complex hardware, software, and networking issues.
Experience with deep problem investigation, root cause analysis, and performance optimization in cloud or high-performance computing environments.
Strong analytical and problem-solving skills with a performance-first mindset.
Scripting and automation using various languages (Python\Go)
Key employee benefits:
Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
401(k) plan: up to 4% company match with immediate vesting.
Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement: up to $85/month for mobile and internet.
Disability & life insurance: company-paid short-term, long-term and life insurance coverage.
Compensation
We offer a competitive salary ranging from $179,500- $224,300 + quarterly performance bonuses.
Join Nebius Today!
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role
Nebius is hiring a Senior Software Engineer to design, build, and own backend systems that power metrics, monitor large-scale infrastructure, and develop a comprehensive infrastructure maintenance platform. This role requires strong production experience, sound system design judgment, and the ability to operate and improve critical services.
Your responsibilities will include:
Design and build services and agents that provide deep visibility into large-scale server fleets and data center engineering systems
Evolve metrics, aggregation, and alerting pipelines, with a focus on signal quality and reliability
Design and operate maintenance and remediation systems that enable safe, predictable fleet-wide changes and keep infrastructure healthy
Investigate production incidents hands-on, including on-host Linux debugging, and drive root-cause fixes
Collaborate closely with hardware, networking, and data center operations teams to improve reliability
What we expect you to have:
5+ years of professional software engineering experience
Strong production experience with Python and Go, or the ability to ramp up quickly
Solid Linux fundamentals and comfort debugging live systems
Ability to write reliable, maintainable code and dig into complex, ambiguous problems
Experience building and operating production systems at scale
It will be an added bonus if you have:
Ubuntu experience, including internal tooling and packaging workflows (e.g., building Debian packages)
CCNA (Cisco Certified Network Associate) or equivalent networking experience
Key employee benefits:
Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
401(k) plan: up to 4% company match with immediate vesting.
Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement: up to $85/month for mobile and internet.
Disability & life insurance: company-paid short-term, long-term and life insurance coverage.
Compensation
We offer competitive salaries, ranging from $130k- $170k base + quarterly performance bonuses.
Join Nebius Today!
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
San Francisco, CA | New York City, NY | Seattle, WA
УдалённоГеография найма не уточнена
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
San Francisco, CA | New York City, NY | Seattle, WA
New York City, NY
УдалённоBerlin, Remote; Barcelona; Working remotely from outside Germany is also possible, subject to some conditions (tenure, performance, destination, length, etc.) and the approval of our Remote Committee 🌍
San Francisco, CA | New York City, NY | Seattle, WA
Автоотклики