Location: Uzbekistan
Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world.
At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded.
LEAP Program Description
Global Solutions Ventures (GSV) – a joint-venture partnership between ZemiTek, LLC and Dexis Consulting Group – is implementing the Long-term Exceptional Technical Assistance Project (LEAP Global), a mechanism originally used by USAID to battle against infectious diseases such as malaria, HIV/AIDS, tuberculosis, neglected tropical diseases, and pandemic influenza. As of July 1, 2025, LEAP Global transitioned to the U.S. Department of State (DOS). This initiative aims to address the complex human resource challenges faced by national infectious disease programs in the USA-supported countries.
The intervention of this project is to hire and embed technical expert advisors and subject matter experts within government entities. By directly embedding the technical expertise within the national programs, LEAP provides long-term, sustainable lifesaving support to empower host governments to lead and manage key aspects of their infectious disease portfolios and improve coordination between the U.S. Government and the host country.
About the Position
The Technical Advisor for Epidemiology will provide technical expertise and support to the Director of Center of Sanitary, Epidemiology, and Welfare (CSEW) Services, Ministry of Health, in carrying out life-saving humanitarian assistance (LHA) service delivery in full alignment with the new Presidential Executive Order (EO) directives. The Advisor will focus on implementing recommendations related to epidemiology from the Joint External Evaluation (JEE) and raising the demonstrated capacity of the Government of Uzbekistan to prevent, detect, and respond to infectious disease outbreaks and public health emergencies. The Advisor will provide day-to-day support to enhance the capacity of CSEW in managing epidemiological activities.
Responsibilities
JEE Recommendations Implementation:
Analyze and prioritize the JEE recommendations related to epidemiology.
Provide expert technical advice about implementing the epidemiology activities described in action plans developed to address the JEE recommendations. These action plans include, but are not limited to, the National Action Plan for Health Security (NAPHS), Antimicrobial Resistance (AMR) Action Plan, National Emergency Preparedness and Response Action Plan, Tripartite Zoonotic Disease Action Plan, and other action plans, operational plans, and roadmaps related to global health security and the national cross-sectoral health framework.
Monitor and report on the progress of implementing the JEE recommendations on epidemiology in the context of approved Global Health Security Monitoring and Evaluation Frameworks.
Technical Support:
Provide day-to-day technical support to the Director of CSEW on epidemiological issues.
Assist in designing, implementing, and evaluating epidemiological studies and surveillance systems.
Assist in developing epidemiological content for proposed policies, strategies, standard operating procedures, and protocols
Provide expertise in data collection, analysis, and interpretation of epidemiological data.
Assist Technical Working Groups (TWGs) in providing epidemiological advice to the CSEW and multisectoral steering committees.
Capacity Building:
Provide input to and/or conduct training sessions and workshops to build the capacity of CSEW staff in epidemiology.
Develop training materials and resources on epidemiological methods and best practices.
Coordination and Collaboration:
Collaborate with Secretariats, other departments, and stakeholders to ensure a coordinated approach to epidemiological issues.
Participate in meetings and discussions related to epidemiology and public health.
Reporting and Documentation:
Prepare detailed reports on the implementation of JEE recommendations pertaining to epidemiology.
Document best practices and lessons learned from epidemiological projects and initiatives.
Provide epidemiological and public health indicator-related information and data to DoS, as requested and in accordance with Ministry of Health guidelines and procedures.
Advisory Role:
Provide strategic advice to the Director of CSEW on epidemiological matters.
Stay updated on the latest developments and trends in epidemiology and public health.
Cross-Sectoral Health:
Advocate and promote an integrated cross-sectoral approach.
Establish working relationships with stakeholders including other Government of Uzbekistan entities, such as the Committee for Veterinary and Livestock
Development, Samarkand State Veterinary College, and the Ministry of Emergency Response.
General:
In consultation with DoS, provide other services related to epidemiology and public health requested by the Director of CSEW.
REPORTING:
The Technical Advisor will report to and receive technical direction from the Director of CSEW and will work in close collaboration with DoS/Uzbekistan. The Advisor will operate from the MOH office in Tashkent. The Technical Advisor will provide a monthly summary of all activities undertaken on the last day of each month to DoS and meet with DoS/Uzbekistan on a quarterly basis to review activities and priorities.
Qualifications
Advanced degree in Epidemiology, Public Health, or a related field.
At least 5 years of experience in epidemiology and public health, preferably in a post-Soviet health system.
Proven experience in developing and implementing public health recommendations and strategies.
Fluency in Uzbek and/or Russian and proficiency in English.
Strong analytical and problem-solving skills.
Excellent communication and interpersonal skills.
Ability to work independently and as part of a team.
Knowledge about JEE assessments, cross-sectoral health concepts, public health surveillance, animal health and agricultural systems, antimicrobial resistance, infectious disease outbreak investigations, and public health emergency response is desirable.
Knowledge about post-Soviet health systems and working with international donors is desirable.
Benefits
Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for
full-time, US-based
positions only. These benefits include:
Medical and prescription drug coverage:
A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents.
Dental insurance:
Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits.
Company-paid vision insurance:
Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis.
Employer-funded health reimbursement arrangement (HRA):
Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses.
Company-paid life and disability insurance:
Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage.
Optional supplemental insurance:
Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents.
Employee Assistance Program (EAP):
Company-paid access to confidential counseling and legal and financial support resources for employees and their families.
Health and wellness resources:
Virtual care, behavioral health resources, and wellness programs available through the medical plan.
Benefits assistance:
Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center.
Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements.
Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you?
If you are passionate about this opportunity, apply now!
Only those applicants who meet the above criteria will be contacted for interview.
Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.
Location: Uzbekistan
Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world.
At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded.
LEAP Program Description
Global Solutions Ventures (GSV) – a joint-venture partnership between ZemiTek, LLC and Dexis Consulting Group – is implementing the Long-term Exceptional Technical Assistance Project (LEAP Global), a mechanism originally used by USAID to battle against infectious diseases such as malaria, HIV/AIDS, tuberculosis, neglected tropical diseases, and pandemic influenza. As of July 1, 2025, LEAP Global transitioned to the U.S. Department of State (DOS). This initiative aims to address the complex human resource challenges faced by national infectious disease programs in the USA-supported countries.
The intervention of this project is to hire and embed technical expert advisors and subject matter experts within government entities. By directly embedding the technical expertise within the national programs, LEAP provides long-term, sustainable lifesaving support to empower host governments to lead and manage key aspects of their infectious disease portfolios and improve coordination between the U.S. Government and the host country.
About the Position
The Technical Advisor for LSS will provide technical expertise and support to the Director of Center of Sanitary, Epidemiology, and Welfare (CSEW) Services, Ministry of Health, in carrying out life-saving humanitarian assistance (LHA) service delivery in full alignment with the new Presidential Executive Order (EO) directives. The Advisor will focus on implementing recommendations related to epidemiology from the Joint External Evaluation (JEE) and raising the demonstrated capacity of the Government of Uzbekistan to prevent, detect, and respond to infectious disease outbreaks and public health emergencies. The Advisor will provide day-to-day support to enhance the capacity of CSEW in managing epidemiological activities.
Responsibilities
JEE Recommendations Implementation:
Analyze and prioritize the JEE recommendations related to laboratory systems strengthening, with a focus on improving laboratory quality management systems.
Provide expert technical advice about implementing the LSS activities described in action plans developed to address the JEE recommendations. These action plans include, but are not limited to, the National Action Plan for Health Security (NAPHS), Antimicrobial Resistance (AMR) Action Plan, National Emergency Preparedness and Response Action Plan, Tripartite Zoonotic Disease Action Plan, and other action plans, operational plans, and roadmaps related to global health security and the national cross-sectoral health framework.
Monitor and report on the progress of implementing the JEE recommendations on LSS in the context of approved Global Health Security Monitoring and Evaluation Frameworks.
Technical Support:
Provide day-to-day technical support to the Director of CSEW on LSS issues.
Assist in designing, implementing, and evaluating laboratory systems and procedures.
Assist in developing LSS content for proposed policies, strategies, standard operating procedures, and protocols.
Provide expertise in specimen referral and transport systems, laboratory quality management systems, laboratory testing capacity modalities, and laboratory diagnostics.
Assist Technical Working Groups (TWGs) in providing LSS advice to the CSEW and multisectoral steering committees.
Capacity Building:
Provide input to and/or conduct training sessions and workshops to build the LSS capacity of CSEW staff.
Develop training materials and resources on laboratory best practices and standards.
Coordination and Collaboration:
Collaborate with Secretariats, other departments, and stakeholders to ensure a coordinated approach to strengthening the national laboratory system.
Participate in meetings and discussions related to LSS and public health.
Reporting and Documentation:
Prepare detailed reports on the implementation of JEE recommendations pertaining to strengthening laboratory systems.
Document best practices and lessons learned from national LSS projects and initiatives.
Provide LSS-related indicator-related information and data to DoS, as requested and in accordance with Ministry of Health guidelines and procedures.
Advisory Role:
Provide strategic advice to the Director of CSEW on LSS matters.
Stay updated on the latest developments and trends in LSS and public health.
Cross-Sectoral health:
Advocate and promote an integrated cross-sectoral health approach.
Establish working relationships with stakeholders including other Government of Uzbekistan entities, such as the Committee for Veterinary and Livestock Development, Samarkand State Veterinary College, and the Ministry of Emergency Response.
General:
In consultation with DoS, provide other services related to LSS and public health requested by the Director of CSEW.
REPORTING:
The Technical Advisor will report to and receive technical direction from the Director of CSEW and will work in close collaboration with DoS/Uzbekistan. The Advisor will operate from the MOH office in Tashkent. The Technical Advisor will provide a monthly summary of all activities undertaken on the last day of each month to DoS and meet with DoS/Uzbekistan on a quarterly basis to review activities and priorities.
Qualifications
Advanced degree in Laboratory Sciences, Public Health, or a related field.
At least 5 years of experience in laboratory system strengthening and public health, preferably in a post-Soviet health system.
Experience and familiarity with Laboratory Quality Management Systems.
Proven experience in implementing public health recommendations and strategies.
Fluency in Uzbek and/or Russian and proficiency in English.
Strong analytical and problem-solving skills.
Excellent communication and interpersonal skills.
Ability to work independently and as part of a team.
Knowledge about JEE assessments, cross-sectoral health concepts, public health surveillance, animal health and agricultural systems, antimicrobial resistance, infectious disease outbreak investigations, and public health emergency response is desirable.
Knowledge about post-Soviet health systems and working with international donors is desirable.
Benefits
Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for
full-time, US-based
positions only. These benefits include:
Medical and prescription drug coverage:
A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents.
Dental insurance:
Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits.
Company-paid vision insurance:
Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis.
Employer-funded health reimbursement arrangement (HRA):
Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses.
Company-paid life and disability insurance:
Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage.
Optional supplemental insurance:
Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents.
Employee Assistance Program (EAP):
Company-paid access to confidential counseling and legal and financial support resources for employees and their families.
Health and wellness resources:
Virtual care, behavioral health resources, and wellness programs available through the medical plan.
Benefits assistance:
Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center.
Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements.
Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you?
If you are passionate about this opportunity, apply now!
Only those applicants who meet the above criteria will be contacted for interview.
Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.
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
As a Strategic Account Executive (Insurance) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading insurance carriers and reinsurers. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across property & casualty, life & health, and reinsurance organizations. You'll leverage deep insurance sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into underwriting, claims, actuarial, and policy administration workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for insurance decision-makers.
The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across insurance carriers and reinsurers, and running the strategies to win them. By driving deployment of Anthropic's emerging products into insurance enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI.
Key responsibilities
Own a book of strategic, high-value accounts across property & casualty, life & health, and reinsurance organizations, carrying and exceeding an individual revenue target
Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Chief Actuaries, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion
Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue
Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business
Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate insurance-specific needs — underwriting, claims, actuarial, policy administration — into product and roadmap input
Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader FSI motion
Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events
Minimum qualifications
5+ years of enterprise sales experience in insurance, with demonstrated success covering carrier or reinsurance organizations
A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS)
Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within insurance
Operational rigor across complex, multi-stakeholder sales cycles — balancing velocity with deal quality and forecasting accurately in fast-changing environments
Credibility with technical buyers and builders — CIOs, CTOs, CDOs, Heads of AI/ML — and experience pairing effectively with solutions architects and applied AI teams
A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI
Preferred qualifications
Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large insurance carriers or reinsurers
Deep familiarity with regulated-industry selling — data governance, regulatory and compliance-driven procurement, security review, and the governance expectations of insurance organizations
Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators
Familiarity with consumption- or usage-based commercial models and value-based pricing conversations
Experience navigating long, multi-stakeholder enterprise cycles typical of insurance procurement
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: San Francisco, CA | 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
We are seeking an experienced Senior Business Systems Analyst to join our Finance Systems team at Anthropic. In this role, based on our recent go live on Workday Financials, you will serve as the internal functional lead for our Workday Financials,, owning the design and configuration of the Financial Data Model (FDM), Chart of Accounts, and dimensional structures that will serve as the source of truth for financial reporting. You will develop Prism Analytics and Accounting Center solutions, gather requirements and build reporting capabilities, and collaborate closely with cross-functional teams to drive the successful adoption of the Workday platform.
This is a critical role that will directly shape how Anthropic's finance organization operates as we scale toward public company readiness. You will work at the intersection of finance domain expertise and technical implementation, partnering with the implementation partner, engineering teams, and finance stakeholders to build a world-class financial systems foundation.
In this role, you will
ERP Core Financials:
Serve as internal functional lead for Workday Financials, partnering with partners to drive configuration decisions, validate designs, and ensure business requirements are met. Partner with consultants for Phase X / net new implementations.
Financial Data Model (FDM) Design:
Own the design and configuration of Chart of Accounts, Worktags, dimensional hierarchies, and Accounting Books that will serve as the source of truth for all financial reporting, ensuring support for both GAAP and Management reporting requirements
Prism Analytics Development:
Develop and maintain Prism/Accounting Center solutions from source analysis and ingestion design through build and testing,, including integration with external data sources like BigQuery and Pigment
Requirements Gathering & Reporting:
Gather business requirements from Finance, Accounting, and FP&A stakeholders, translating them into hands-on development of executive reporting, dashboards, and analytics solutions
Workshop Participation & Solution Design:
Participate in implementation workshops, challenge requirements, and translate business needs into buildable designs and testable acceptance criteria; manage defects and data quality issues throughout the project lifecycle for all implementations impacting Workday Record to Report (R2R)
Cross-Functional Collaboration:
Collaborate with Integrations, Security, and Financials configuration teams to align master data, journals, controls, and performance service level agreements; partner with Data Infrastructure and BizTech teams on system integrations
Platform Expansion & Adoption:
Work closely with engineering teams and business stakeholders to drive ongoing expansion and adoption of the Workday platform (e.g. bi-annual releases), identifying opportunities for process improvement and automation.
You may be a good fit if you
Have 8+ years of experience in finance systems, ERP implementation, or business systems analysis roles, with at least 5 years of hands-on Workday Financials experience
Possess deep expertise in Workday Financial Data Model (FDM), including Chart of Accounts design, Worktags configuration, dimensional hierarchies, and Accounting Books setup
Have strong experience with Workday Prism Analytics, including data modeling, source integration, calculated fields, and report development
Are skilled at translating complex business requirements into technical solutions, bridging the gap between finance stakeholders and technical implementation teams
Have experience with full ERP implementation lifecycles, including requirements gathering, configuration, testing, data migration, cutover planning, and hypercare
Possess strong understanding of financial accounting processes including General Ledger, multi-entity consolidation, intercompany accounting, and management reporting
Have excellent stakeholder management and communication skills, with ability to work effectively with finance leadership, accounting teams, and technical partners
Demonstrate strong analytical and problem-solving skills with attention to detail and commitment to data accuracy and integrity
Are comfortable working in fast-paced, high-growth environments with evolving requirements and tight timelines
Strong candidates may also have
Background in accounting, finance, or CPA certification with understanding of GAAP/IFRS reporting requirements
Experience with Workday Accounting Center for complex journal automation and subledger accounting
Technical proficiency with SQL, Python, or scripting languages for data analysis and integration support
Experience integrating Workday with external data platforms such as BigQuery or cloud data warehouses
Knowledge of SOX compliance requirements and internal controls for financial systems
Experience with EPM/FP&A systems such as Pigment, Anaplan, or Adaptive Planning and their integration with ERP
Prior experience at high-growth technology companies scaling toward IPO readiness
Familiarity with Workday HCM and understanding of HCM-Financials integration points
Experience with data migration tools, ETL processes, and reconciliation frameworks for ERP implementations
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:
$205,000
—
$270,000 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: Paphos, Cyprus
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
Are you looking to join an amazing team of passionate and driven individuals in a rapidly growing business in Cyprus? Then we would love to talk! We love what we do, and we are looking for people that will share the same passion for growing our business!
Role background
We are searching for both full-time Grocery Associates to join our awesome team to our store in Paphos! In this role you are right in the heart of our day-to-day dark store operations. Our store is open 7 days a week, so this role also requires you to be able to work on weekends and in different shifts. You will be working from our market located in Paphos.
If you are a team player, enjoy working independently, and have a good sense of humor, then you might be just the person we are looking for!
What you'll be doing
Taking in orders through our Merchant app
Packing groceries & handing them to customers and couriers
Managing inventory
Maintaining order and cleanliness of the store
Our humble expectations
You are proactive and a fast learner with the ability to multitask
You’ll work in flexible shifts in both morning and evening shifts across weekdays and weekends - our store is open 7 days a week, from 7:30 to 00:00. We require flexibility to work across all our working hours, including weekends and public holidays
Experience from working in a grocery store is an advantage!
You have a full professional proficiency in English. Greek is a plus!
You have the right to work in Cyprus
What you’ll get by joining us
Attractive salary package and thirteen salaries per year
21 days of paid leave per year
Wolt credits cashback benefit
Employee assistance program
Excellent working environment
Wolt-wide training programs and career development opportunities
Fruits and drinks at the Wolt Market
Next steps
If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going!
We will be reviewing applications on an on-going basis, so if this sounds like an opportunity you want to pursue, apply today!
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
Location: New York, NY
Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally.
As a
Commercial Strategy
Associate
, you will be responsible for supporting Via’s services while collaborating with our partners globally, our technical, operational, and commercial teams. You’ll work cross-functionally with our customers, product, and sales teams to understand goals, translate complex information into actionable insights, and develop recommendations that help optimize Via’s services.
About the Role:
Help ensure the success of Via’s current and future deployments by leading the upfront design and ongoing optimization of our services
Learn how to design and optimize technology-enabled mobility systems. Examples include providing a first/last mile service for a bus or rail line, optimizing coverage in areas with under-performing fixed-route service, or upgrading paratransit/dial-a-ride
Carry out analysis in support of advisory services engagements with Via’s partners (for example, helping to recommend adjustments to where riders can travel, or the impact of changing fares). Advise partners on strategies to develop and grow a successful transit system.
Adeptly interpret and utilize mass quantities of proprietary data to generate insights and make business recommendations that will ensure success for our partner services
Manage product expectations and development, ensuring that our engineering team is getting the feedback they need to build the best product possible
Leverage your strategy and operations knowledge to support Via’s partnerships team in the sales process and grow Via’s deal pipeline
Contribute to the strategic decision-making, rigorous project planning, and entrepreneurial approach required for Via to succeed
About You:
Effective at managing multiple tasks simultaneously and comfortable taking on responsibility
Independent worker that knows when to escalate
Meticulous and vigilant, with a high level of attention to detail
Problem solver; you don’t accept the status quo and are always looking for creative solutions
Excellent verbal and written communicator with a knack for always finding the right tone
Data-driven; you’re able to dive into data to understand problems and find creative solutions, then create clear slides to share your analyses to build consensus. SQL, Excel, Tableau experience preferred.
Have a Bachelor's Degree preferably in Economics, Political Science, Data Science, Engineering, Statistics, Business, Geography, Urban Planning, Public Policy, Environmental Studies, Sociology or related field and a record of exceptional academic achievement
Minimum of 0-2 years of work experience
Based in the NYC area and able to work in office
Demonstrated record of entrepreneurial achievement and/or leadership a plus
GIS experience a plus
Compensation and Benefits:
Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity
Pay Range: $65,000-$85,000
We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching.
There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride?
Via is an equal opportunity employer.
Location: Amsterdam, Netherlands; Berlin, Germany; Finland; London, United Kingdom; Prague, Czech Republic; Remote - Europe
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
We’re
looking for a
Security
Product Manager
to join our team.
Security
Product Manager
is responsible for
conveying the company’s security
strengths to customers,
partners
and the market at large. This includes
participating
in relevant security
partnership initiatives
,
influencing
security
positioning
and branding, and working closely with internal teams to ensure company’s security posture
and security products
is communicated effectively to all stakeholders. By combining
expertise
in
complia
nce requirements with a customer-centric approach,
Security
Product Manager helps position security as a competitive advantage rather than just an internal obligation.
Your responsibilities will include:
1. Product Management
Define the vision and roadmap for Nebius’ security products.
Owning the ideation, postmortem, prioritization, backlog, and customer feedback processes.
Guiding new features, systems and services from inception to launch, while keeping customers at the center of everything.
2. Customer-facing communications
Lead public-facing communications around security updates or changes in compliance status.
In the event of a security incident, coordinate user messaging (email notifications, press releases, FAQs) with support from the Head of Security Products and CISO.
Gather user feedback on user experience and security to guide continuous improvements.
3.
Competitive analysis and market research
Conduct ongoing research on industry benchmarks, emerging security standards and technologies, and competitor certifications.
Identify gaps and opportunities in organization’s product security posture; propose strategic initiatives that differentiate the company’s security story in the market.
Stay informed about new regulations or frameworks that may influence future product certifications or transparency requirements (e.g., privacy laws, data sovereignty standards).
4.
Certification and audit support, service ownership
Collaborate with the CISO office to gather technical evidence or make necessary product enhancements that satisfy certification requirements.
Take ownership of some security-related services of Cloud platform.
Track and maintain a certification roadmap (ISO 27001, SOC 2, HIPPA, etc.), working closely with CISO, GRC & Compliance, Corporate Security departments. Communicate timelines, goals and status updates to leadership and sales representatives.
5. Cross-functional collaboration
Coordinate with multiple Product Managers to align security goals with other product roadmaps, ensuring a consistent narrative between product security and external messaging.
Work with Platform Security, GRC & Corporate Security and legal teams to gather essential information for security products enhancements (e.g., penetration test summaries, compliance reports).
Work with Customer-facing teams to address client inquiries about security posture and guide them on using security features optimally.
We expect you to have:
3+ years of Product Management or Program Management experience with a focus on security initiatives.
Basic knowledge of compliance frameworks (e.g., SOC 2, ISO 27001, GDPR) and familiarity with how they translate into business value.
Proven ability to communicate technical concepts in a clear, customer-friendly manner (e.g., writing content, speaking at webinars or conferences).
Stakeholder management skills to align with other Product Managers, CISO staff, engineering, marketing, and customer-facing teams.
Analytical mindset: comfortable defining success metrics (e.g., security feature adoption, NPS around trust, certification progress) and making data-driven decisions.
Project management skills: demonstrated ability to manage inter-team collaboration within company-wide projects, ensuring timely delivery of cross-functional tasks and alignment with compliance goals.
It will be an added bonus if you have:
Certifications such as CISSP, CISM, or PMP; prior experience in regulated industries; prior experience working for Cloud Service Provider.
About Nebius
Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training.
Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).
Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East.
Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day.
If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
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: 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
As a Technical Program Manager for Security, you'll drive execution of high-stakes programs that span security engineering, infrastructure, and cross-functional teams across Anthropic. You'll be responsible for the strategy, planning, and execution of technical security programs that enable Anthropic to meet its
Responsible Scaling Policy
(RSP) commitments while building towards a security posture that scales with our rapid growth.
This role sits at the intersection of Security Engineering, Security Compliance, Infrastructure, Product, Research, Policy, and more. This role demands someone who thrives in ambiguity, makes well-reasoned decisions under pressure, and can translate complex security requirements into executable programs with compressed timelines.
Responsibilities:
Own end-to-end security program execution for RSP security readiness
– Drive security workstreams from requirements interpretation through implementation, coordinating across Security Engineering, Infrastructure, Research, and Compliance teams to ensure we meet RSP commitments on aggressive timelines
Coordinate complex multi-team deployments
– Manage security control rollouts and migrations, like endpoint hardening and egress reduction that require careful change management across engineering organizations
Make real-time technical trade-off decisions
– Balance competing constraints between security controls, research velocity, and operational feasibility during fast-moving program cycles
Build program structure for emerging security domains
– Create program charters, establish roles and timelines, develop communication strategies, and define success metrics for nascent security initiatives
Partner with third-party partners
– Manage security aspects of infrastructure partnerships, including contract requirements, relationship management, and security assurance processes
Lead stakeholder communication and executive reporting
– Prepare regular status updates, deliver company-wide communications, lead program reviews, and ensure leadership has visibility into critical security milestones, blockers, and risks
You may be a good fit if you:
Have experience driving cross-functional projects, building longer-running programs, and interfacing with technical and non-technical stakeholders.
Have experience executing technical programs that require systems and engineering-level knowledge.
Have a deep interest in and/or a willingness to learn about cybersecurity or regulatory compliance.
Have experience leveraging LLMs to automate workflows, improve operational efficiency, and develop novel solutions for complex technical and organizational challenges.
Have experience reporting on complex programs through data-driven benchmarks, including writing SQL queries.
Have strong interpersonal skills that enable you to influence without authority, build cross-organizational support, cooperation and action around security initiatives, policies and procedures.
Have a track record for being able to successfully organize, implement and manage complex programs and projects.
Are used to working through trade-offs, balancing competing priorities, and having your mind changed.
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
As a Nonprofit Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic partnerships with nonprofit organizations. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to nonprofit leaders, helping them embed and deploy AI to amplify their impact across program delivery, fundraising, research, and operations. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the nonprofit landscape.
The ideal candidate will be an exceptional salesperson with a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products in the nonprofit sector, you will help organizations amplify their social impact while also advancing the ethical development of AI.
Responsibilities:
Win new business and drive revenue for Anthropic within nonprofit organizations. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to launch
Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns
Spearhead market expansion by pinpointing new customer segments and use cases within nonprofit program departments, development offices, research centers, and administrative functions. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge
Navigate complex stakeholder ecosystems including executive directors, board members, program officers, IT departments, and procurement committees to build consensus and secure strategic deals
Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience
Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency
Build strategic relationships with nonprofit technology platforms, consultants, and sector influencers to expand market reach and create partnership opportunities
You may be a good fit if you have:
3+ years of experience prospecting and closing leads, driving adoption of emerging technologies with a consultative, solutions-oriented sales approach
Familiarity working within complex sales cycles, selling to technical and non-technical stakeholders, and securing strategic deals by understanding multifaceted requirements and crafting tailored solutions
Success as a strategic business advisor, deeply understanding customer needs and creating innovative solutions that align with their vision and help them succeed
Exposure to negotiating complex, customized commercial agreements with multiple stakeholders
Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment
Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives
A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player
Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities
Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly
A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities
Interest in or passion for social impact and mission-driven work. You feel strongly about ensuring frontier AI systems are developed safely and ethically
Strong candidates may also have:
Experience selling to or working with nonprofit organizations, foundations, or government agencies
Understanding of nonprofit operations, including budget cycles, grant funding, and procurement processes
Familiarity with nonprofit technology ecosystems, including CRMs (Salesforce NPSP, Blackbaud), fundraising platforms, and program management tools
Active involvement in the nonprofit community through board service, volunteering, or prior employment
Experience navigating procurement frameworks with budget constraints and multiple approval layers
Track record of building strategic partnerships with foundations or corporate giving programs
Understanding of specific nonprofit verticals (healthcare, education, human services, environment, arts & culture)
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
—
$380,000 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: Canada; Toronto
Workplace: OnSite
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role Overview:
Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia and the government. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work.
Key Responsibilities:
- Design, build and scale agentic AI systems for serving mission critical use cases.
- Research, implement, and experiment with ideas on our supercompute and data infrastructure.
- Learn from and work with the best researchers in the field.
- Execute across the full AI stack and ship products to serve public interest.
Qualifications:
- Canadian citizenship and eligibility for security clearance (required for this role).
- Extremely strong software engineering skills.
- Proficiency in Python and related ML frameworks.
- Experience training, evaluating, and using (as an end-user) LLMs.
- Experience using large-scale distributed (GPU) LLM training strategies.
- Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
The Role
Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience.
The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here:
Environments for Software Engineering / coding agents
UI-Environments for Computer-Use/Browser-Use agents
MCP-based Environments for general function-calling agents across various enterprise and consumer applications
We are seeking
Research Engineers
to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications.
This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
What You’ll Do
1.
Conduct Research on Frontier AI Systems
Investigate the capabilities, limitations, and training methods of frontier AI systems.
Formulate research questions that can inform Turing’s products, platforms, and technical strategy.
Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
Stay current with advances in machine learning and identify opportunities for meaningful technical contribution.
2. Build and Evaluate Research Systems
Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks.
Train, test, and evaluate models using modern AI and machine learning tools.
Analyze results carefully and draw clear, evidence-based conclusions.
Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation.
Iterate quickly from early hypothesis through validated technical insight.
3. Translate Research into Practical Impact
Collaborate closely with Research, Engineering, Product, and Operations teams.
Translate research findings into improvements for Turing’s products, platforms, and AI capabilities.
Help identify which ideas are ready to move from exploration into scalable, real-world applications.
Communicate technical findings clearly to both specialized and cross-functional audiences.
4. Contribute to the Research Community
Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate.
Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration.
Represent Turing thoughtfully within the broader AI research community.
What We’re Looking For
Research background:
PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered.
Technical depth:
Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling.
Relevant expertise:
Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks.
Research engineering ability:
Strong programming skills and the ability to implement, test, and iterate quickly in a research environment.
Scientific judgment:
Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making.
Communication and collaboration:
Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams.
A note from our CTO,
Ece Kamar
Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters.
Why Turing
Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design.
Build datasets and environments that directly improve the capabilities of advanced AI systems.
Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks.
Apply frontier AI innovations to high-value enterprise workflows.
Operate with high autonomy, rapid iteration, and meaningful commercial impact.
Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies.
Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS.
Compensation:
$250,000 to $400,000 OTE + Equity
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
ABOUT THE ROLE:
We’re looking for a Senior Product Marketing Manager to help accelerate the growth of Replit Agent— a core part of our mission to allow anyone to build software, without any coding experience.
This role sits at the crossroads of product, engineering, and go-to-market, ensuring that every new feature we ship lands with clarity, excitement, and impact. You’ll work closely with our engineers, PMs and Partnership teams to understand the product roadmap, then translate those innovations into compelling narratives that resonate with builders of all kinds — from solo builders to enterprise teams. You’ll also leverage your storytelling expertise to collaborate with our partner ecosystem, crafting compelling “Better Together” narratives that elevate our joint value and propel partner marketing initiatives.
Replit moves fast — we ship continuously, experiment relentlessly, and aim to make every builder more productive and creative. We’re looking for someone who thrives in that environment: part strategist, part storyteller, and part operator.
WHAT YOU’LL DO:
- Lead Product Marketing for our Launches
Develop and operationalize Replit’s launch motion — from early roadmap planning through public release. Create repeatable frameworks that keep launches fast, clear, and coordinated.
- Shape Messaging & Positioning
Craft technically fluent, developer-first narratives that highlight how Replit’s AI coding agent accelerates creativity and productivity. Tailor messaging to different developer segments and channels.
- Create Sales & Growth Enablement
Build the first generation of enablement materials (decks, demos, battlecards, FAQs) that empower GTM teams and partners to tell Replit’s story confidently.
- Lead Competitive and Market Insights
Stay ahead of the fast-moving landscape in AI coding assistants and app development platforms. Identify key trends, threats, and whitespace opportunities that shape how Replit stands out.
- Co-market with our Partner ecosystem
You’ll also leverage your storytelling expertise to collaborate with our partner ecosystem, crafting compelling “Better Together” narratives that elevate our joint value and propel partner marketing initiatives
- Analyze & Learn
Define metrics, gather insights, and feed back learnings from the field and community to inform product and marketing strategies.
YOU'LL BE A GOOD FIT IF YOU:
- Have 8+ years of work experience, including 6+ years in product marketing (ideally within the app development space)
- Love building from scratch — frameworks, processes, teams, and strategy
- Excellent written communication and storytelling skills, with the ability to simplify complexity
- Are equally comfortable writing a launch announcement, building a competitive teardown, or running a cross-functional sync
- Have a founder mindset: you identify gaps and fill them, move quickly, and don’t wait for someone else to define the playbook
- Proven ability to partner directly with engineers and product managers, turning technical concepts into simple, powerful stories
- Strong project management skills — you can juggle multiple launches and keep teams aligned under pressure
- Experience with sales enablement and competitive positioning for technical audiences
- A collaborative, low-ego approach and willingness to dig into the details
BONUS POINTS:
- Experience in app development space or marketing to product managers, designers, sales, marketing or operations teams
- Experience with Partner/Ecosystem Marketing- to start with, we are looking for a generalist who can also help out with Partner Marketing
- Experience at a startup or high-growth environment where speed and adaptability matter
- Understanding of AI and machine learning technologies
- A track record of successful launches for developer-facing products
EXAMPLE PROJECTS:
- Establishing a repeatable launch rhythm for major features and smaller updates
- Building a competitive intelligence framework for the AI coding assistant space
- Developing persona-driven messaging for builders across different segments and company sizes
- Launching and executing co-marketing initiatives with Replit’s partner ecosystem
- Coordinating cross-functional launches with engineering, product and marketing
- Defining metrics and feedback loops between product, marketing, and the our builder community
This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
The Role
Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience.
The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here:
Environments for Software Engineering / coding agents
UI-Environments for Computer-Use/Browser-Use agents
MCP-based Environments for general function-calling agents across various enterprise and consumer applications
We are seeking
Research Engineers
to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications.
This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
What You’ll Do
1.
Conduct Research on Frontier AI Systems
Investigate the capabilities, limitations, and training methods of frontier AI systems.
Formulate research questions that can inform Turing’s products, platforms, and technical strategy.
Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
Stay current with advances in machine learning and identify opportunities for meaningful technical contribution.
2. Build and Evaluate Research Systems
Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks.
Train, test, and evaluate models using modern AI and machine learning tools.
Analyze results carefully and draw clear, evidence-based conclusions.
Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation.
Iterate quickly from early hypothesis through validated technical insight.
3. Translate Research into Practical Impact
Collaborate closely with Research, Engineering, Product, and Operations teams.
Translate research findings into improvements for Turing’s products, platforms, and AI capabilities.
Help identify which ideas are ready to move from exploration into scalable, real-world applications.
Communicate technical findings clearly to both specialized and cross-functional audiences.
4. Contribute to the Research Community
Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate.
Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration.
Represent Turing thoughtfully within the broader AI research community.
What We’re Looking For
Research background:
PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered.
Technical depth:
Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling.
Relevant expertise:
Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks.
Research engineering ability:
Strong programming skills and the ability to implement, test, and iterate quickly in a research environment.
Scientific judgment:
Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making.
Communication and collaboration:
Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams.
A note from our CTO,
Ece Kamar
Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters.
Why Turing
Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design.
Build datasets and environments that directly improve the capabilities of advanced AI systems.
Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks.
Apply frontier AI innovations to high-value enterprise workflows.
Operate with high autonomy, rapid iteration, and meaningful commercial impact.
Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies.
Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS.
Compensation:
$250,000 to $350,000 OTE + Equity
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: San Francisco, CA | New York City, NY | Seattle, WA; 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
At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. That's why we are seeking an exceptional Detection and Response engineer that will be on the frontlines to build solutions to monitor for threats, rapidly investigate incidents, and coordinate response efforts with other teams. In this role, you will have the opportunity to shape our security capabilities from the ground up alongside our world-class research and security teams.
Responsibilities:
Lead cybersecurity Incident Response efforts covering diverse domains from external attacks to insider threats involving all layers of Anthropic’s technology stack
Develop and deploy novel tooling that may leverage Large Language Models to enhance detection, investigation, and response capabilities
Create and optimize detections, playbooks, and workflows to quickly identify and respond to potential incidents
Review Incident Response metrics and procedures and drive continuous improvement
Work cross functionally with other security and engineering teams
Note: This position will require participation in an on-call rotation
You may be a good fit if you:
3+ years of software engineering experience, with security experience a plus and/or
5+ years of detection engineering, incident response, or threat hunting experience
A solid understanding of cloud environments and operations
Experience working with engineering teams in a SaaS environment
Exceptional communication and collaboration skills
An ability to lead projects with little guidance
The ability to pick up new languages and technologies quickly
Experience handling security incidents and investigating anomalies as part of a team
Knowledge of EDR, SIEM, SOAR, or related security tools
Strong candidates may also have experience with:
Experience performing security operations or investigations involving large-scale Kubernetes environments
A high level of proficiency in Python and query languages such as SQL
Experience analyzing attack behavior and prototyping high quality detections
Experience with threat intelligence, malware analysis, infrastructure as code, detection engineering, or forensics
Experience contributing to a high growth startup environment
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:
$300,000
—
$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; 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 research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems.
This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.
We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.
No ML or Research experience is required
Responsibilities
Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results
Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions
Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient
Create reusable platforms and tools that accelerate the development of new research applications
Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage
Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration
Contribute to technical strategy and architectural decisions for research tooling
Mentor other engineers and help establish best practices for research application development
You may be a good fit if you
Have 5+ years of software engineering experience with a strong focus on full-stack development
Excel at rapid iteration and shipping—you can move from concept to working prototype quickly
Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.)
Demonstrate high agency and ability to operate independently in ambiguous environments
Can quickly develop deep understanding of complex technical domains
Have strong product instincts and can identify the right problems to solve
Are proficient with modern web technologies (React, TypeScript, Python, etc.)
Have a track record of building user-facing applications that are actually used and loved by their target audience
Communicate effectively with both technical and non-technical stakeholders
Care about the societal impacts of your work and are motivated by Anthropic's mission
Strong candidates may also have
Experience building research tools, scientific software, or experimentation platforms
Background in machine learning, AI research, or working closely with ML researchers
Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools
Built open-source tools or platforms with active user communities
Experience with data visualization, interactive interfaces, or novel interaction paradigms
Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products)
Experience leveraging AI/LLMs to build more powerful or efficient tools
Previous work in creative tools, artist tools, or other domains requiring deep user empathy
Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment
Representative projects
Building interfaces for collecting and managing human feedback on model outputs at scale
Creating experiment orchestration platforms that make it easy to launch, monitor, and analyze complex research runs
Developing visualization tools that help researchers understand model behavior and identify failure modes
Designing reusable components and frameworks that enable rapid development of new research applications
Building sandboxed execution environments for safely running AI-generated code
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
—
$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
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:
When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?"
The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. We’re looking for researchers and engineers to join our efforts.
People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using “microscopes” we build, or as treating neural networks as binary computer programs we're trying to "reverse engineer".
A few places to learn more about our work and team at a high level are
this introduction to Interpretability
from our research lead,
Chris Olah
; a
discussion of our work
on the
Hard Fork podcast
produced by the New York Times, and this
blog post
(and accompanying video) sharing more about some of the engineering challenges we’d had to solve to get these results. Some of our team's notable publications include
A Mathematical Framework for Transformer Circuits
,
In-context Learning and Induction Heads
,
Toy Models of Superposition
,
Scaling Monosemanticity
, and our Circuits’
Methods
and
Biology
papers. This work builds on ideas from members' work prior to Anthropic such as the
original circuits thread
,
Multimodal Neurons
,
Activation Atlases
, and
Building Blocks
.
We aim to create a solid foundation for mechanistically understanding neural networks and making them safe (see our
vision post
). In the short term, we have focused on resolving the issue of "superposition" (see
Toy Models of Superposition
,
Superposition, Memorization, and Double Descent
, and our
May 2023 update
), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent
work
found millions of features in Sonnet, one of our production language models, represents progress in this direction. In our most recent work, we develop methods that allow us to build circuits using features and use this circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks.
We often collaborate with teams across Anthropic, such as Alignment Science and Societal Impacts to use our work to make Anthropic’s models safer. We also have an
Interpretability Architectures project
that involves collaborating with Pretraining.
Responsibilities:
Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights
Design and run robust experiments, both quickly in toy scenarios and at scale in large models
Create and analyze new interpretability features and circuits to better understand how models work.
Build infrastructure for running experiments and visualizing results
Work with colleagues to communicate results internally and publicly
You may be a good fit if you:
Have a strong track record of scientific research (in any field), and have done
some
work on Interpretability
Enjoy team science – working collaboratively to make big discoveries
Are comfortable with messy experimental science. We're inventing the field as we work, and the first textbook is years away
You view research and engineering as two sides of the same coin. Every team member writes code, designs and runs experiments, and interprets results
You can clearly articulate and discuss the motivations behind your work, and teach us about what you've learned. You like writing up and communicating your results, even when they're null
To learn more about the skills we look for and how to prepare for this role, see our blog post –
So You Want to Work in Mechanistic Interpretability?
Familiarity with Python is required for this role.
Role Specific Location Policy:
This role is based in San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case 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:
$350,000
—
$850,000 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
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.
Note: we don't have open Research Manager positions on the Interpretability team at this time. However, we're actively growing our team of
Research Engineers
and
Research Scientists
. If you're excited about interpretability research and open to an individual contributor role, we encourage you to apply.
About the Interpretability team
When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?"
The Interpretability team’s mission is to reverse engineer how trained models work, and Interpretability research is one of Anthropic’s core research bets on AI safety. We believe that a mechanistic understanding is the most robust way to make advanced systems safe.
People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as treating neural networks as binary computer programs we're trying to "reverse engineer".
We aim to create a solid scientific foundation for mechanistically understanding neural networks and making them safe (see our
vision post
). We have focused on resolving the issue of "superposition" (see
Toy Models of Superposition
,
Superposition, Memorization, and Double Descent
, and our
May 2023 update
), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent
work
which found millions of features in Claude 3.0 Sonnet, one of our production language models, represents progress in this direction. In our
most recent work
, we developed methods that allow us to build circuits using features and use these circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Claude Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks.
A few places to learn more about our work and team are this
introduction to Interpretability
from our research lead,
Chris Olah, Stanford CS25 lecture given by Josh Batson, and
TWIML AI podcast
with Emmanuel Ameisen.
Some of our team's notable publications include and our Circuits’
Methods
and
Biology
papers,
Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet
,
Towards Monosemanticity: Decomposing Language Models With Dictionary Learning
,
A Mathematical Framework for Transformer Circuits
,
In-context Learning and Induction Heads
, and
Toy Models of Superposition
. This work builds on ideas from members' work prior to Anthropic such as the
original circuits thread
,
Multimodal Neurons
,
Activation Atlases
, and
Building Blocks
.
About the role
As a manager on the Interpretability team, you'll support a team of expert researchers and engineers who are trying to understand at a deep, mechanistic level, how modern large language models work internally.
Few things can accelerate this work more than great managers. Your work as manager will be critical in making sure that our fast-growing team is able to meet its ambitious safety research goals over the coming years. In this role, you will partner closely with an individual contributor research lead to drive the team's success, translating cutting-edge research ideas into tangible goals and overseeing their execution. You will manage team execution, careers and performance, facilitate relationships within and across teams, and drive the hiring pipeline.
If you're more interested in making individual direct technical contributions to our research as the primary focus of your role, feel free to apply to our
Research Scientist
or
Research Engineer
roles instead.
Key responsibilities
Partner with a research lead on direction, project planning and execution, hiring, and people development
Set and maintain a high bar for execution speed and quality, including identifying improvements to processes that help the team operate effectively
Coach and support team members to have more impact and develop in their careers
Drive the team's recruiting efforts, including hiring planning, process improvements, and sourcing and closing
Help identify and support opportunities for collaboration with other teams across Anthropic
Communicate team updates and results to other teams and leadership
Maintain a deep understanding of the team's technical work and its implications for AI safety
You may be a good fit if you
Are an experienced manager (minimum 2-5 years) with a track record of effectively leading highly technical research and/or engineering teams
Have a background in machine learning, AI, or a related technical field
Actively enjoy people management and are experienced with coaching and mentorship, performance evaluation, career development, and hiring for technical roles
Have strong project management skills, including prioritization and cross-functional coordination and collaboration
Have managed technical teams through periods of ambiguity and change
Are a quick learner, capable of understanding and contributing to discussions on complex technical topics and are motivated to learn about our research
Are a strong communicator both in speaking and in writing
Believe that advanced AI systems could have a transformative effect on the world, and are passionate about helping make sure that transformation goes well
Strong candidates may also have
Experience scaling engineering infrastructure
Experience working on open-ended, exploratory research agendas aimed at foundational insights
Some familiarity with our work and mechanistic interpretability
Role-Specific Location Policy
This role is expected to be in our SF office for 3 days a week.
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:
$350,000
—
$500,000 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
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:
When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?"
The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe.
Think of us as doing "neuroscience" of neural networks using "microscopes" we build - or reverse-engineering neural networks like binary programs.
More resources to learn about our work:
Our research blog
- covering advances including
Monosemantic Features
and
Circuits
An Introduction to Interpretability
from our research lead,
Chris Olah
The Urgency of Interpretability
from CEO Dario Amodei
Engineering Challenges Scaling Interpretability
- directly relevant to this role
60 Minutes
segment - Around 8:07, see a demo of tooling our team built
New Yorker
article - what it's like to work on one of AI's hardest open problems
Even if you haven’t worked on interpretability before, the infrastructure expertise is similar to what's needed across the lifecycle of a production language model:
Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips
Inference: Interp runs a customized inference stack. Day-to-day analysis requires services that allow editing a model's internal activations mid-forward-pass - for example, adding a "steering vector"
Performance: Like all LLM work, we push up against the limits of hardware and software. Rather than squeezing the last 0.1%, we are focused on finding bottlenecks, fixing them and moving ahead given rapidly evolving research and safety mission
The science keeps scaling - and it's now applied directly in
safety audits
on frontier models, with real deadlines. As our research has matured, engineering and infrastructure have become a bottleneck. Your work will have a direct impact on one of the most important open problems in AI.
Responsibilities:
Build and maintain the specialized inference and training infrastructure that powers interpretability research - including instrumented forward/backward passes, activation extraction, and steering vector application
Resolve scaling and efficiency bottlenecks through profiling, optimization, and close collaboration with peer infrastructure teams
Design tools, abstractions, and platforms that enable researchers to rapidly experiment without hitting engineering barriers
Help bring interpretability research into production safety audits - with real deadlines and high reliability expectations
Work across the stack - from model internals and accelerator-level optimization to user-facing research tooling
You may be a good fit if you:
Have 5-10+ years of experience building software
Are highly proficient in at least one programming language (e.g., Python, Rust, Go, Java) and productive with Python
Are extremely curious about unfamiliar domains; can quickly learn and put that knowledge to work, e.g. diving into new layers of the stack to find bottlenecks
Have a strong ability to prioritize the most impactful work and are comfortable operating with ambiguity and questioning assumptions
Prefer fast-moving collaborative projects to extensive solo efforts
Are curious about interpretability research and its role in AI safety (though no research experience is required!)
Care about the societal impacts and ethics of your work
Are comfortable working closely with researchers, translating research needs into engineering solutions.
Strong candidates may also have experience with:
Optimizing the performance of large-scale distributed systems
Language modeling fundamentals with transformers
High Performance LLM optimization: memory management, compute efficiency, parallelism strategies, inference throughput optimization
Working hands-on in a mainstream ML stack - PyTorch/CUDA on GPUs or JAX/XLA on TPUs
Collaborating closely with researchers and building tooling to support research teams; or directly performed research with complex engineering challenges
Representative Projects:
Building
Garcon
, a tool that allows researchers to easily instrument LLMs to extract internal activations
Designing and optimizing a pipeline to efficiently collect petabytes of transformer activations and shuffle them
Profiling and optimizing ML training jobs, including multi-GPU parallelism and memory optimization
Building a steered inference system that applies targeted interventions to model internals at scale (conceptually similar to
Golden Gate Claude
but for safety research)
Role Specific Location Policy:
This role is based in the San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case 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:
$315,000
—
$560,000 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.
Uzbekistan
New York City, NY
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Amsterdam, Netherlands; Berlin, Germany; Finland; London, United Kingdom; Prague, Czech Republic; Remote - Europe
San Francisco, CA | New York City, NY | Seattle, WA
San Francisco, CA | New York City, NY
ОфисCanada; Toronto; We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
United States; For applicants from the European Union, please review
ГибридseniorСША; 💹 401(k) Program with a 4% match (US Only); 🚗 Commuter Benefits (In-Office & US Only); We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds
seniorUnited States; For applicants from the European Union, please review
San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC
San Francisco, CA | New York City, NY; San Francisco, CA | New York City, NY | Seattle, WA
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