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 looking for a Technical Cyber Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations. To work at the intersection of AI safety and cybersecurity, you will conduct thorough investigations into potential misuse cases, develop novel detection techniques, and build robust defenses against emerging cyber threats in the rapidly evolving landscape of AI enabled risks. Your work will directly protect the broader ecosystem from sophisticated threat actors who seek to leverage AI technology for harm. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities Detect and investigate attempts to misuse Anthropic's AI systems for cyber operations, including influence operations, malware development, social engineering, and other adversarial activities. Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors across our platform. Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting LLM systems. Conduct cross-platform threat analysis grounded in real threat actor behavior, using open-source research, dark web monitoring, and internal data. Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm at scale. Study trends internally and in the broader ecosystem to anticipate how AI systems could be misused, generating and publishing reports. Build and maintain relationships with external threat intelligence partners, information sharing communities, and government stakeholders. Work cross-functionally to build out our threat intelligence program, establishing processes, tools, and best practices. Qualifications Proficiency in SQL and Python for data analysis and threat detection. Experience with large language models and understanding of how AI technology could be misused for cyber threats. Subject matter expertise in abusive user behavior detection, such as influence operations, coordinated inauthentic behavior, or cyber threat intelligence. Experience tracking threat actors across surface, deep, and dark web environments. Ability to derive insights from large datasets to make key decisions and recommendations. Experience with threat actor profiling and utilizing threat intelligence frameworks (MITRE ATT&CK, etc.). Strong project management skills and ability to build processes from the ground up. Excellent communication skills to collaborate with cross functional teams and present to leadership. Preferred Qualifications Experience working with government agencies or in regulated environments. Background in AI safety, machine learning security, or technology abuse investigation. Experience building and scaling threat detection systems or abuse monitoring programs. Active Top Secret security clearance. Application Deadline None. Applications will be reviewed on a rolling basis. Compensation Annual Salary: $230,000-$290,000 USD. Logistics Education requirements: At least a Bachelor's degree in a related field or equivalent experience. Location-based Hybrid Policy: All staff are expected to be in one of our offices at least 25% of the time. Some roles may require more time in our offices. Visa Sponsorship: We sponsor visas for many roles and will make every reasonable effort to secure a visa if you receive an offer. Inclusivity Note: We encourage you to apply even if you do not meet all qualifications. We value diverse perspectives and aim to foster inclusion. Safety Note: Protect yourself from scams. Anthropic recruiters contact you email addresses. If unsure, visit for confirmed openings. Why Join Us We believe that high impact AI research will be big science. Our team works as a cohesive unit on a few large scale research efforts, valuing impact over incremental puzzles. We offer competitive compensation, benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a supportive office environment in San Francisco.
04/02/2026
Full time
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 looking for a Technical Cyber Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations. To work at the intersection of AI safety and cybersecurity, you will conduct thorough investigations into potential misuse cases, develop novel detection techniques, and build robust defenses against emerging cyber threats in the rapidly evolving landscape of AI enabled risks. Your work will directly protect the broader ecosystem from sophisticated threat actors who seek to leverage AI technology for harm. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities Detect and investigate attempts to misuse Anthropic's AI systems for cyber operations, including influence operations, malware development, social engineering, and other adversarial activities. Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors across our platform. Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting LLM systems. Conduct cross-platform threat analysis grounded in real threat actor behavior, using open-source research, dark web monitoring, and internal data. Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm at scale. Study trends internally and in the broader ecosystem to anticipate how AI systems could be misused, generating and publishing reports. Build and maintain relationships with external threat intelligence partners, information sharing communities, and government stakeholders. Work cross-functionally to build out our threat intelligence program, establishing processes, tools, and best practices. Qualifications Proficiency in SQL and Python for data analysis and threat detection. Experience with large language models and understanding of how AI technology could be misused for cyber threats. Subject matter expertise in abusive user behavior detection, such as influence operations, coordinated inauthentic behavior, or cyber threat intelligence. Experience tracking threat actors across surface, deep, and dark web environments. Ability to derive insights from large datasets to make key decisions and recommendations. Experience with threat actor profiling and utilizing threat intelligence frameworks (MITRE ATT&CK, etc.). Strong project management skills and ability to build processes from the ground up. Excellent communication skills to collaborate with cross functional teams and present to leadership. Preferred Qualifications Experience working with government agencies or in regulated environments. Background in AI safety, machine learning security, or technology abuse investigation. Experience building and scaling threat detection systems or abuse monitoring programs. Active Top Secret security clearance. Application Deadline None. Applications will be reviewed on a rolling basis. Compensation Annual Salary: $230,000-$290,000 USD. Logistics Education requirements: At least a Bachelor's degree in a related field or equivalent experience. Location-based Hybrid Policy: All staff are expected to be in one of our offices at least 25% of the time. Some roles may require more time in our offices. Visa Sponsorship: We sponsor visas for many roles and will make every reasonable effort to secure a visa if you receive an offer. Inclusivity Note: We encourage you to apply even if you do not meet all qualifications. We value diverse perspectives and aim to foster inclusion. Safety Note: Protect yourself from scams. Anthropic recruiters contact you email addresses. If unsure, visit for confirmed openings. Why Join Us We believe that high impact AI research will be big science. Our team works as a cohesive unit on a few large scale research efforts, valuing impact over incremental puzzles. We offer competitive compensation, benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a supportive office environment in San Francisco.
A leading AI company is seeking an experienced IT Engineer to design and implement secure IT infrastructure while mentoring engineers and driving automation. The successful candidate will have over 8 years of experience in building IT systems and strong proficiency in Python and cloud platforms. This role offers the opportunity to contribute significantly to the company's mission of developing transformative AI systems.
04/02/2026
Full time
A leading AI company is seeking an experienced IT Engineer to design and implement secure IT infrastructure while mentoring engineers and driving automation. The successful candidate will have over 8 years of experience in building IT systems and strong proficiency in Python and cloud platforms. This role offers the opportunity to contribute significantly to the company's mission of developing transformative AI systems.
A leading AI company is seeking an experienced IT Engineer to design and implement secure IT infrastructure while mentoring engineers and driving automation. The successful candidate will have over 8 years of experience in building IT systems and strong proficiency in Python and cloud platforms. This role offers the opportunity to contribute significantly to the company's mission of developing transformative AI systems.
04/02/2026
Full time
A leading AI company is seeking an experienced IT Engineer to design and implement secure IT infrastructure while mentoring engineers and driving automation. The successful candidate will have over 8 years of experience in building IT systems and strong proficiency in Python and cloud platforms. This role offers the opportunity to contribute significantly to the company's mission of developing transformative AI systems.
A leading AI company is seeking an experienced IT Engineer to design and implement secure IT infrastructure while mentoring engineers and driving automation. The successful candidate will have over 8 years of experience in building IT systems and strong proficiency in Python and cloud platforms. This role offers the opportunity to contribute significantly to the company's mission of developing transformative AI systems.
04/02/2026
Full time
A leading AI company is seeking an experienced IT Engineer to design and implement secure IT infrastructure while mentoring engineers and driving automation. The successful candidate will have over 8 years of experience in building IT systems and strong proficiency in Python and cloud platforms. This role offers the opportunity to contribute significantly to the company's mission of developing transformative AI systems.
A leading AI research company in San Francisco is seeking an Incentive Compensation Systems Engineer to lead the implementation and configuration of its ICM platform. You'll collaborate with departments like Revenue Operations, Data Engineering, and HR to translate compensation designs into effective system configurations. Candidates with over 5 years in ICM platform management and strong technical skills in SQL and data integration tools are encouraged to apply. Join us to build a foundation for beneficial AI systems!
04/02/2026
Full time
A leading AI research company in San Francisco is seeking an Incentive Compensation Systems Engineer to lead the implementation and configuration of its ICM platform. You'll collaborate with departments like Revenue Operations, Data Engineering, and HR to translate compensation designs into effective system configurations. Candidates with over 5 years in ICM platform management and strong technical skills in SQL and data integration tools are encouraged to apply. Join us to build a foundation for beneficial AI systems!
Software Engineer, Cybersecurity Products About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're looking for engineers to join a new effort building AI-powered products and capabilities for cybersecurity. You'll work across the stack to prototype new ideas and build from the ground up. This role sits at the intersection of research, product, and go-to-market. You'll work closely with research teams to develop new model capabilities for security applications, prototype and iterate quickly to validate ideas, and engage directly with customers and partners to inform what we build. The right candidate has the technical depth to engage with research, the product instincts to know what's worth building, and the drive to move fast. Responsibilities Prototype and build new AI powered products for cybersecurity. Iterate quickly based on customer feedback and what you learn. Collaborate with research teams to identify and develop new model capabilities for security applications. Engage directly with customers and partners to understand workflows and inform product direction. You may be a good fit if you: Have 7+ years of experience as a software engineer. Experience developing cybersecurity products. Enjoy fast iteration and are energized by prototyping new ideas. Have strong product instincts and enjoy defining what to build, not just how to build it. Are comfortable working closely with research and go to market teams. Have strong communication skills and can work effectively across functions. Strong candidates may also have: Experience in incident response, reverse engineering, network analysis, penetration testing, or similar fields. Experience working with AI/ML models and building products on top of them. Experience building agentic applications. The annual compensation range for this role is 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. Our total compensation package for full time employees includes equity and benefits. $320,000 - $405,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! We will make every reasonable effort to get you a visa if we make you an offer, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 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. We invite you to review our AI partnership guidelines for candidates and confirm your understanding by selecting "Yes." EEO statement As set forth in Anthropic's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
04/02/2026
Full time
Software Engineer, Cybersecurity Products About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're looking for engineers to join a new effort building AI-powered products and capabilities for cybersecurity. You'll work across the stack to prototype new ideas and build from the ground up. This role sits at the intersection of research, product, and go-to-market. You'll work closely with research teams to develop new model capabilities for security applications, prototype and iterate quickly to validate ideas, and engage directly with customers and partners to inform what we build. The right candidate has the technical depth to engage with research, the product instincts to know what's worth building, and the drive to move fast. Responsibilities Prototype and build new AI powered products for cybersecurity. Iterate quickly based on customer feedback and what you learn. Collaborate with research teams to identify and develop new model capabilities for security applications. Engage directly with customers and partners to understand workflows and inform product direction. You may be a good fit if you: Have 7+ years of experience as a software engineer. Experience developing cybersecurity products. Enjoy fast iteration and are energized by prototyping new ideas. Have strong product instincts and enjoy defining what to build, not just how to build it. Are comfortable working closely with research and go to market teams. Have strong communication skills and can work effectively across functions. Strong candidates may also have: Experience in incident response, reverse engineering, network analysis, penetration testing, or similar fields. Experience working with AI/ML models and building products on top of them. Experience building agentic applications. The annual compensation range for this role is 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. Our total compensation package for full time employees includes equity and benefits. $320,000 - $405,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! We will make every reasonable effort to get you a visa if we make you an offer, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 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. We invite you to review our AI partnership guidelines for candidates and confirm your understanding by selecting "Yes." EEO statement As set forth in Anthropic's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
A leading AI research organization in New York is seeking a Research Engineer to join their Cybersecurity RL team. This role involves advancing AI capabilities in secure coding and vulnerability remediation. Candidates should have cybersecurity research experience, strong software engineering skills, and an interest in AI. The expected compensation ranges from $300,000 to $405,000 annually, along with a comprehensive benefits package including equity options and flexible working hours.
04/02/2026
Full time
A leading AI research organization in New York is seeking a Research Engineer to join their Cybersecurity RL team. This role involves advancing AI capabilities in secure coding and vulnerability remediation. Candidates should have cybersecurity research experience, strong software engineering skills, and an interest in AI. The expected compensation ranges from $300,000 to $405,000 annually, along with a comprehensive benefits package including equity options and flexible working hours.
A leading AI research organization in New York is seeking a Research Engineer to join their Cybersecurity RL team. This role involves advancing AI capabilities in secure coding and vulnerability remediation. Candidates should have cybersecurity research experience, strong software engineering skills, and an interest in AI. The expected compensation ranges from $300,000 to $405,000 annually, along with a comprehensive benefits package including equity options and flexible working hours.
04/02/2026
Full time
A leading AI research organization in New York is seeking a Research Engineer to join their Cybersecurity RL team. This role involves advancing AI capabilities in secure coding and vulnerability remediation. Candidates should have cybersecurity research experience, strong software engineering skills, and an interest in AI. The expected compensation ranges from $300,000 to $405,000 annually, along with a comprehensive benefits package including equity options and flexible working hours.
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 an Applied AI team member at Anthropic, you will be a Pre Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in technical customer facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross organizational collaboration, working through trade offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross organizational collaboration, working through trade offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is 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. Our total compensation package for full time employees includes equity and benefits. Annual Salary: $240,000 - $270,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you email addresses. 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 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
04/02/2026
Full time
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 an Applied AI team member at Anthropic, you will be a Pre Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in technical customer facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross organizational collaboration, working through trade offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross organizational collaboration, working through trade offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is 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. Our total compensation package for full time employees includes equity and benefits. Annual Salary: $240,000 - $270,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you email addresses. 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 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
About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: We're looking for seasoned Android engineers to join our Claude mobile team and help build apps that harness the transformative power of advanced language models. Our mission is to unlock the potential of advanced AI through elegant, user-friendly mobile applications that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our products. Join us in this exciting mission to transform how people engage with technology and unlock new realms of human potential. Responsibilities: Architect and implement cutting-edge Android applications Optimize performance at all levels of the mobile stack Obsessive attention to detail and app experience Contribute to backend systems as needed You might be a good fit if you have: 7+ years of Android development experience and proficiency with latest mobile platform capabilities/intricacies, including Expertise in Kotlin, Jetpack Compose, Android SDK and the Android ecosystem Practical experience with full-stack development and comfort working with backend technologies 0 to 1 experience building successful products in early stage environments A proven track record of shipping impactful, high-adoption mobile applications Experience building applications that utilize modern ML/AI technology Excellent communication and mentorship skills Thrive in a fast-paced, collaborative environment and enjoy working closely with cross functional partners and teammates Strong candidates may have: 3D graphics, visual effects, and audio and video streaming on mobile A vision for the future of human-machine interaction and a drive to make that vision a reality The expectedbase compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. $320,000 - $405,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 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. 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
04/02/2026
Full time
About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: We're looking for seasoned Android engineers to join our Claude mobile team and help build apps that harness the transformative power of advanced language models. Our mission is to unlock the potential of advanced AI through elegant, user-friendly mobile applications that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our products. Join us in this exciting mission to transform how people engage with technology and unlock new realms of human potential. Responsibilities: Architect and implement cutting-edge Android applications Optimize performance at all levels of the mobile stack Obsessive attention to detail and app experience Contribute to backend systems as needed You might be a good fit if you have: 7+ years of Android development experience and proficiency with latest mobile platform capabilities/intricacies, including Expertise in Kotlin, Jetpack Compose, Android SDK and the Android ecosystem Practical experience with full-stack development and comfort working with backend technologies 0 to 1 experience building successful products in early stage environments A proven track record of shipping impactful, high-adoption mobile applications Experience building applications that utilize modern ML/AI technology Excellent communication and mentorship skills Thrive in a fast-paced, collaborative environment and enjoy working closely with cross functional partners and teammates Strong candidates may have: 3D graphics, visual effects, and audio and video streaming on mobile A vision for the future of human-machine interaction and a drive to make that vision a reality The expectedbase compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. $320,000 - $405,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 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. 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
A technology company specializing in AI is seeking a Solutions Architect focused on the national security sector. The role involves guiding defense agencies in deploying advanced AI solutions while ensuring technical alignment with business needs. The ideal candidate will possess significant experience in technical roles, especially within national security, and have a strong grasp of scalable cloud architectures and LLM integration. Candidates with communication prowess and the capability to translate technical concepts for all stakeholders will thrive in this position.
04/02/2026
Full time
A technology company specializing in AI is seeking a Solutions Architect focused on the national security sector. The role involves guiding defense agencies in deploying advanced AI solutions while ensuring technical alignment with business needs. The ideal candidate will possess significant experience in technical roles, especially within national security, and have a strong grasp of scalable cloud architectures and LLM integration. Candidates with communication prowess and the capability to translate technical concepts for all stakeholders will thrive in this position.
About the role We are seeking a Revenue Systems Solution Architect to join our Finance team at Anthropic. In this role you will own the design, implementation, and optimization of our revenue recognition and billing systems infrastructure. As we scale our consumption based business model you will build the systems foundation that enables accurate revenue recognition, streamlined quote to cash processes, and efficient month end close. This is a hands on role where you will architect solutions, configure systems, and solve complex technical challenges directly. You will work at the intersection of Finance, Accounting, and Sales Operations, ensuring our revenue systems accurately reflect the complexities of ASC 606 compliance while supporting Anthropic's growth trajectory. Responsibilities Own the architecture, implementation, and administration of revenue recognition systems such as Zuora Revenue, Salesforce Revenue Cloud, or similar platforms, ensuring ASC 606 compliance for consumption based business models. Design and maintain CPQ (Configure Price Quote) systems architecture, including Salesforce CPQ, Nue.io, or equivalent platforms, ensuring seamless integration with downstream billing and revenue systems. Lead month end close processes related to revenue recognition, identifying and resolving reconciliation issues, automation opportunities, and process bottlenecks. Architect integrations between CPQ, billing, revenue recognition, and ERP systems to create a cohesive quote to cash technology stack. Develop and maintain technical documentation, data flow diagrams, and system configuration guides. Partner with Accounting, FP&A, and Sales Operations teams to translate business requirements into scalable technical solutions. Troubleshoot complex revenue recognition scenarios, particularly those unique to consumption and usage based pricing models. Drive continuous improvement of revenue systems, identifying opportunities for automation and enhanced accuracy. Support audit readiness by maintaining clear system controls, documentation, and data integrity. What you bring 7+ years of experience implementing and administering revenue recognition systems such as Zuora Revenue, Salesforce Revenue Cloud, RevPro, or similar platforms. Deep expertise in ASC 606 revenue recognition standards, particularly as applied to consumption based and usage based business models. Hands on experience with CPQ platforms (Salesforce CPQ, Nue.io, DealHub, or similar) and their integration with billing and revenue systems. Track record of solving complex month end close issues and optimizing revenue accounting processes. Comfortable working directly in systems - configuring, troubleshooting, and building solutions yourself rather than solely managing vendors. Strong understanding of quote to cash processes and the technical architecture that supports them. Ability to communicate complex technical concepts clearly to both technical and non technical stakeholders. Tendency to thrive in unstructured environments and energized by building processes and systems from the ground up. Strong candidates may also Have experience with NetSuite, Stripe, or Metronome integrations. Have worked at high growth technology companies with complex, evolving revenue models. Have SQL proficiency for data analysis, reconciliation, and troubleshooting. Have experience supporting external audits related to revenue recognition. Bring a background in Accounting or Finance, combined with systems expertise. Have familiarity with data warehouse integrations for revenue reporting and analytics. Compensation Annual compensation range: $205,000 - $265,000 USD. The range includes both base salary and potential incentives for this role. Logistics Education requirements: Bachelor's degree in a related field or equivalent experience. Location based hybrid policy: All staff are expected to be in one of our offices at least 25% of the time. Some roles may require more in office presence. Visa sponsorship: We sponsor visas for qualified candidates; we will make every reasonable effort to secure appropriate sponsorship if an offer is made. We encourage you to apply even if you do not believe you meet every single qualification. Representation matters, and we welcome diverse perspectives. Equal Employment Opportunity As set forth in Anthropic's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
04/02/2026
Full time
About the role We are seeking a Revenue Systems Solution Architect to join our Finance team at Anthropic. In this role you will own the design, implementation, and optimization of our revenue recognition and billing systems infrastructure. As we scale our consumption based business model you will build the systems foundation that enables accurate revenue recognition, streamlined quote to cash processes, and efficient month end close. This is a hands on role where you will architect solutions, configure systems, and solve complex technical challenges directly. You will work at the intersection of Finance, Accounting, and Sales Operations, ensuring our revenue systems accurately reflect the complexities of ASC 606 compliance while supporting Anthropic's growth trajectory. Responsibilities Own the architecture, implementation, and administration of revenue recognition systems such as Zuora Revenue, Salesforce Revenue Cloud, or similar platforms, ensuring ASC 606 compliance for consumption based business models. Design and maintain CPQ (Configure Price Quote) systems architecture, including Salesforce CPQ, Nue.io, or equivalent platforms, ensuring seamless integration with downstream billing and revenue systems. Lead month end close processes related to revenue recognition, identifying and resolving reconciliation issues, automation opportunities, and process bottlenecks. Architect integrations between CPQ, billing, revenue recognition, and ERP systems to create a cohesive quote to cash technology stack. Develop and maintain technical documentation, data flow diagrams, and system configuration guides. Partner with Accounting, FP&A, and Sales Operations teams to translate business requirements into scalable technical solutions. Troubleshoot complex revenue recognition scenarios, particularly those unique to consumption and usage based pricing models. Drive continuous improvement of revenue systems, identifying opportunities for automation and enhanced accuracy. Support audit readiness by maintaining clear system controls, documentation, and data integrity. What you bring 7+ years of experience implementing and administering revenue recognition systems such as Zuora Revenue, Salesforce Revenue Cloud, RevPro, or similar platforms. Deep expertise in ASC 606 revenue recognition standards, particularly as applied to consumption based and usage based business models. Hands on experience with CPQ platforms (Salesforce CPQ, Nue.io, DealHub, or similar) and their integration with billing and revenue systems. Track record of solving complex month end close issues and optimizing revenue accounting processes. Comfortable working directly in systems - configuring, troubleshooting, and building solutions yourself rather than solely managing vendors. Strong understanding of quote to cash processes and the technical architecture that supports them. Ability to communicate complex technical concepts clearly to both technical and non technical stakeholders. Tendency to thrive in unstructured environments and energized by building processes and systems from the ground up. Strong candidates may also Have experience with NetSuite, Stripe, or Metronome integrations. Have worked at high growth technology companies with complex, evolving revenue models. Have SQL proficiency for data analysis, reconciliation, and troubleshooting. Have experience supporting external audits related to revenue recognition. Bring a background in Accounting or Finance, combined with systems expertise. Have familiarity with data warehouse integrations for revenue reporting and analytics. Compensation Annual compensation range: $205,000 - $265,000 USD. The range includes both base salary and potential incentives for this role. Logistics Education requirements: Bachelor's degree in a related field or equivalent experience. Location based hybrid policy: All staff are expected to be in one of our offices at least 25% of the time. Some roles may require more in office presence. Visa sponsorship: We sponsor visas for qualified candidates; we will make every reasonable effort to secure appropriate sponsorship if an offer is made. We encourage you to apply even if you do not believe you meet every single qualification. Representation matters, and we welcome diverse perspectives. Equal Employment Opportunity As set forth in Anthropic's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
A leading AI development company in San Francisco is looking for seasoned Android engineers to join their Claude mobile team. The role involves architecting and implementing cutting-edge Android applications, optimizing performance across the mobile stack, and contributing to backend systems. Ideal candidates have over 7 years of experience with Android and Kotlin, alongside excellent communication skills. The position offers competitive compensation, including benefits and equity, in a hybrid work environment.
04/02/2026
Full time
A leading AI development company in San Francisco is looking for seasoned Android engineers to join their Claude mobile team. The role involves architecting and implementing cutting-edge Android applications, optimizing performance across the mobile stack, and contributing to backend systems. Ideal candidates have over 7 years of experience with Android and Kotlin, alongside excellent communication skills. The position offers competitive compensation, including benefits and equity, in a hybrid work environment.
Security Engineer: Detection and Response Join to apply for the Security Engineer: Detection and Response role at Anthropic 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. Developing advanced AI also comes with risks if not properly safeguarded. That's why we are seeking an exceptional Detection and Response engineer who 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 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. Annual Salary $300,000-$405,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. 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. 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. We value impact-advancing our long term goals of steerable, trustworthy AI-rather than working on smaller, more specific puzzles. We view AI research as an empirical science, which shares much in common with physics and biology as with traditional computer science. We're extremely collaborative and host frequent discussions to pursue the highest impact work at any given time. As such, we greatly value communication skills. 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. Seniority level Mid Senior level Employment type Full time Job function Information Technology Industries Research Services Referrals increase your chances of interviewing at Anthropic by 2x
04/02/2026
Full time
Security Engineer: Detection and Response Join to apply for the Security Engineer: Detection and Response role at Anthropic 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. Developing advanced AI also comes with risks if not properly safeguarded. That's why we are seeking an exceptional Detection and Response engineer who 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 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. Annual Salary $300,000-$405,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. 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. 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. We value impact-advancing our long term goals of steerable, trustworthy AI-rather than working on smaller, more specific puzzles. We view AI research as an empirical science, which shares much in common with physics and biology as with traditional computer science. We're extremely collaborative and host frequent discussions to pursue the highest impact work at any given time. As such, we greatly value communication skills. 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. Seniority level Mid Senior level Employment type Full time Job function Information Technology Industries Research Services Referrals increase your chances of interviewing at Anthropic by 2x
Machine Learning Systems Engineer, Research Tools 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 Machine Learning Systems Engineer to join our Encodings and Tokenization team at Anthropic. This cross functional role will be instrumental in developing and optimizing the encodings and tokenization systems used throughout our fine tuning workflows. As a bridge between our pre training and fine tuning teams, you'll build critical infrastructure that directly impacts how our models learn from and interpret data. Your work will be foundational to Anthropic's research progress, enabling more efficient and effective training of our AI systems while ensuring they remain reliable, interpretable, and steerable. Responsibilities Design, develop, and maintain tokenization systems used across pre training and fine tuning workflows Optimize encoding techniques to improve model training efficiency and performance Collaborate closely with research teams to understand their evolving needs around data representation Build infrastructure that enables researchers to experiment with novel tokenization approaches Implement systems for monitoring and debugging tokenization related issues in the model training pipeline Create robust testing frameworks to validate tokenization systems across diverse languages and data types Identify and address bottlenecks in data processing pipelines related to tokenization Document systems thoroughly and communicate technical decisions clearly to stakeholders across teams You May Be a Good Fit If You Have significant software engineering experience with demonstrated machine learning expertise Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments Can work independently while maintaining strong collaboration with cross functional teams Are results oriented, with a bias toward flexibility and impact Have experience with machine learning systems, data pipelines, or ML infrastructure Are proficient in Python and familiar with modern ML development practices Have strong analytical skills and can evaluate the impact of engineering changes on research outcomes Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Care about the societal impacts of your work and are committed to developing AI responsibly Strong Candidates May Also Have Experience With Working with machine learning data processing pipelines Building or optimizing data encodings for ML applications Implementing or working with BPE, WordPiece, or other tokenization algorithms Performance optimization of ML data processing systems Multi language tokenization challenges and solutions Research environments where engineering directly enables scientific progress Distributed systems and parallel computing for ML workflows Large language models or other transformer based architectures (not required) Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. 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. Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected base compensation for this position is below. Our total compensation package for full time employees includes equity, benefits, and may include incentive compensation. $320,000 - $405,000 USD As set forth in Anthropic's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
04/02/2026
Full time
Machine Learning Systems Engineer, Research Tools 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 Machine Learning Systems Engineer to join our Encodings and Tokenization team at Anthropic. This cross functional role will be instrumental in developing and optimizing the encodings and tokenization systems used throughout our fine tuning workflows. As a bridge between our pre training and fine tuning teams, you'll build critical infrastructure that directly impacts how our models learn from and interpret data. Your work will be foundational to Anthropic's research progress, enabling more efficient and effective training of our AI systems while ensuring they remain reliable, interpretable, and steerable. Responsibilities Design, develop, and maintain tokenization systems used across pre training and fine tuning workflows Optimize encoding techniques to improve model training efficiency and performance Collaborate closely with research teams to understand their evolving needs around data representation Build infrastructure that enables researchers to experiment with novel tokenization approaches Implement systems for monitoring and debugging tokenization related issues in the model training pipeline Create robust testing frameworks to validate tokenization systems across diverse languages and data types Identify and address bottlenecks in data processing pipelines related to tokenization Document systems thoroughly and communicate technical decisions clearly to stakeholders across teams You May Be a Good Fit If You Have significant software engineering experience with demonstrated machine learning expertise Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments Can work independently while maintaining strong collaboration with cross functional teams Are results oriented, with a bias toward flexibility and impact Have experience with machine learning systems, data pipelines, or ML infrastructure Are proficient in Python and familiar with modern ML development practices Have strong analytical skills and can evaluate the impact of engineering changes on research outcomes Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Care about the societal impacts of your work and are committed to developing AI responsibly Strong Candidates May Also Have Experience With Working with machine learning data processing pipelines Building or optimizing data encodings for ML applications Implementing or working with BPE, WordPiece, or other tokenization algorithms Performance optimization of ML data processing systems Multi language tokenization challenges and solutions Research environments where engineering directly enables scientific progress Distributed systems and parallel computing for ML workflows Large language models or other transformer based architectures (not required) Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. 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. Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected base compensation for this position is below. Our total compensation package for full time employees includes equity, benefits, and may include incentive compensation. $320,000 - $405,000 USD As set forth in Anthropic's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
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 an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping national security and defense agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with Claude Code, the Claude API, and Claude for Enterprise Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel frequently to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: TS/SCI clearance required Must have prior experience working with US national security (defense and/or intelligence) agencies 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiar with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Compensation 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: $240,000 - $270,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas. However, we aren't able to successfully sponsor visas for every role and every candidate. If we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you email addresses. 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 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
04/02/2026
Full time
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 an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping national security and defense agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with Claude Code, the Claude API, and Claude for Enterprise Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel frequently to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: TS/SCI clearance required Must have prior experience working with US national security (defense and/or intelligence) agencies 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiar with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Compensation 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: $240,000 - $270,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas. However, we aren't able to successfully sponsor visas for every role and every candidate. If we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you email addresses. 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 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
Solutions Architect, Applied AI (National Security) Washington, DC About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping national security and defense agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. Coordinate internally across multiple teams and stakeholders to drive customer success Support customers building with Claude Code, the Claude API, and Claude for Enterprise Create and deliver compelling technical content tailored to different audiences, from technical deep dives for engineering teams to business value conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel frequently to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have TS/SCI clearance required Must have prior experience working with US national security (defense and/or intelligence) agencies 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders including C-suite executives, engineering & IT teams Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiar with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for cross-organizational collaboration, balancing trade-offs and competing priorities Love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to diverse stakeholders Passion for thinking creatively about safe and beneficial technology that advances safe AI systems Logistics Education requirements: At least a Bachelor's degree in a related field or equivalent experience Location-based hybrid policy: Currently, staff are expected to be in an office at least 25% of the time; some roles may require more Visa sponsorship: We sponsor visas where possible and make reasonable efforts to assist with visa processes EEO and Safety We encourage applicants to apply even if they do not meet every qualification. We are committed to equal opportunity and a diverse workforce. For safety, Anthropic recruiters contact candidates email addresses. Visit for confirmed position openings. We provide guidance to protect against scams and to verify legitimate openings.
04/02/2026
Full time
Solutions Architect, Applied AI (National Security) Washington, DC About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping national security and defense agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. Coordinate internally across multiple teams and stakeholders to drive customer success Support customers building with Claude Code, the Claude API, and Claude for Enterprise Create and deliver compelling technical content tailored to different audiences, from technical deep dives for engineering teams to business value conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel frequently to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have TS/SCI clearance required Must have prior experience working with US national security (defense and/or intelligence) agencies 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders including C-suite executives, engineering & IT teams Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiar with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for cross-organizational collaboration, balancing trade-offs and competing priorities Love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to diverse stakeholders Passion for thinking creatively about safe and beneficial technology that advances safe AI systems Logistics Education requirements: At least a Bachelor's degree in a related field or equivalent experience Location-based hybrid policy: Currently, staff are expected to be in an office at least 25% of the time; some roles may require more Visa sponsorship: We sponsor visas where possible and make reasonable efforts to assist with visa processes EEO and Safety We encourage applicants to apply even if they do not meet every qualification. We are committed to equal opportunity and a diverse workforce. For safety, Anthropic recruiters contact candidates email addresses. Visit for confirmed position openings. We provide guidance to protect against scams and to verify legitimate openings.
A leading AI-focused company in San Francisco is seeking a Head of IT SOX to lead its SOX compliance program. The role involves managing IT General Controls, building scalable compliance solutions, and working with various teams. Ideal candidates will have 10+ years of IT audit experience and a degree in a relevant field. This position offers the opportunity to leverage AI technology in transforming compliance processes and supports the company's mission of creating safe AI.
04/02/2026
Full time
A leading AI-focused company in San Francisco is seeking a Head of IT SOX to lead its SOX compliance program. The role involves managing IT General Controls, building scalable compliance solutions, and working with various teams. Ideal candidates will have 10+ years of IT audit experience and a degree in a relevant field. This position offers the opportunity to leverage AI technology in transforming compliance processes and supports the company's mission of creating safe AI.
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 looking for a Head of IT SOX to join our Internal Audit SOX team at Anthropic. In this role, you will lead the organization's IT SOX compliance program, with a primary focus on IT General Controls (ITGCs), application controls, and system/process risk assessments. You'll work cross-functionally with Engineering, Security, IT, DevOps, and Finance to ensure the organization meets SOX 404 compliance requirements in a rapidly scaling, technology-driven environment. This is a unique opportunity to build IT SOX controls at an AI-first company, leveraging cutting-edge AI technology to create innovative, automated, and scalable compliance solutions. You will help define how AI can transform traditional SOX processes-from continuous monitoring to intelligent risk assessment-while maintaining the rigor required for public company compliance. As the Head of IT SOX, you will own SOX IT planning, scoping, testing, remediation, and reporting activities. You'll work directly with technical partners to design and implement scalable controls, oversee documentation, and manage communication with external auditors. This role reports to the Head of Internal Audit and plays a critical part in strengthening internal control maturity as the company scales through pre IPO readiness and longer term as a public company. Responsibilities Lead and manage the organization's end-to-end IT SOX compliance program Own SOX IT planning, scoping, testing, remediation, and reporting activities Build scalable, automated, and sustainable controls to support growth through pre IPO and post IPO readiness Develop and maintain the SOX IT compliance roadmap aligned with organizational growth Pioneer the use of AI and automation technologies to enhance control effectiveness, continuous monitoring, and risk detection Drive IT controls rationalization initiatives to optimize the control environment and increase reliance on IT automated controls (ITACs) ITGC and Application Controls Design, implement, and monitor IT General Controls (ITGCs) across critical systems Evaluate and test application controls and IT automated controls (ITACs) to ensure proper functionality and compliance Conduct system and process risk assessments to identify control gaps and remediation needs Oversee control documentation and ensure audit-ready evidence is maintained Assess and monitor Systems Development Life Cycle (SDLC) controls for new system implementations and changes Cross-Functional Partnership Partner with Engineering, Security, IT, DevOps, and Finance teams to implement scalable controls Work directly with technical partners to design controls that align with business operations Collaborate with process owners to identify control improvements and automation opportunities Support SEC cybersecurity disclosure requirements and ongoing monitoring of cyber risks External Audit Management Serve as the primary point of contact for external auditors on IT SOX matters Manage audit requests, coordinate testing schedules, and facilitate audit walkthroughs Track and report on IT SOX compliance status to leadership, the Board, and Audit Committee You may be a good fit if you: Have 10+ years of hands on IT audit and SOX compliance experience, preferably in both Big 4 and in-house internal audit/SOX leadership roles at a fast paced technology company Have proven ability to establish or scale SOX IT compliance programs at newly public or pre IPO companies Possess deep understanding of ITGCs, application controls, and risk assessments Have strong project management, analytical, and communication skills Hold a Bachelor's degree in Information Systems, Computer Science, Accounting, or a related field Are passionate about building scalable processes that support organizational growth and Anthropic's mission to create safe AI Strong candidates may also have: Experience with Workday, Salesforce, NetSuite, GitHub, or other enterprise business systems CISA, CIA, CPA, or similar certification Experience supporting rapid company growth and scaling compliance programs accordingly Interest in or experience applying AI/ML technologies to audit, compliance, or risk management processes Understanding of financial data security and compliance requirements Experience working at a high-growth AI or technology company Familiarity with auditing modern software development environments The annual compensation range for this role is 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. Our total compensation package for full-time employees includes equity and benefits. $300,000 - $360,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from email addresses. 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 directly for confirmed position openings. As set forth in Anthropic's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. We believe that AI will have a transformative impact on the world, and we're seeking exceptional candidates who collaborate thoughtfully with Claude to realize this vision. At the same time, we want to understand your unique skills, expertise, and perspective through our hiring process. We invite you to review our AI partnership guidelines for candidates and confirm your understanding by selecting "Yes." Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number Expires 04/30/2026 Why are you being asked to complete this form? We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress toward this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years. Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor's Office of Federal Contract Compliance Programs (OFCCP) website at How do you know if you have a disability? A disability is a condition that substantially limits one or more of your "major life activities." If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to: Alcohol or other substance use disorder (not currently using drugs illegally) Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS Blind or low vision Cancer (past or present) Cardiovascular or heart disease Celiac disease Cerebral palsy Deaf or serious difficulty hearing Diabetes Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders Epilepsy or other seizure disorder Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome Intellectual or developmental disability Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD . click apply for full job details
04/02/2026
Full time
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 looking for a Head of IT SOX to join our Internal Audit SOX team at Anthropic. In this role, you will lead the organization's IT SOX compliance program, with a primary focus on IT General Controls (ITGCs), application controls, and system/process risk assessments. You'll work cross-functionally with Engineering, Security, IT, DevOps, and Finance to ensure the organization meets SOX 404 compliance requirements in a rapidly scaling, technology-driven environment. This is a unique opportunity to build IT SOX controls at an AI-first company, leveraging cutting-edge AI technology to create innovative, automated, and scalable compliance solutions. You will help define how AI can transform traditional SOX processes-from continuous monitoring to intelligent risk assessment-while maintaining the rigor required for public company compliance. As the Head of IT SOX, you will own SOX IT planning, scoping, testing, remediation, and reporting activities. You'll work directly with technical partners to design and implement scalable controls, oversee documentation, and manage communication with external auditors. This role reports to the Head of Internal Audit and plays a critical part in strengthening internal control maturity as the company scales through pre IPO readiness and longer term as a public company. Responsibilities Lead and manage the organization's end-to-end IT SOX compliance program Own SOX IT planning, scoping, testing, remediation, and reporting activities Build scalable, automated, and sustainable controls to support growth through pre IPO and post IPO readiness Develop and maintain the SOX IT compliance roadmap aligned with organizational growth Pioneer the use of AI and automation technologies to enhance control effectiveness, continuous monitoring, and risk detection Drive IT controls rationalization initiatives to optimize the control environment and increase reliance on IT automated controls (ITACs) ITGC and Application Controls Design, implement, and monitor IT General Controls (ITGCs) across critical systems Evaluate and test application controls and IT automated controls (ITACs) to ensure proper functionality and compliance Conduct system and process risk assessments to identify control gaps and remediation needs Oversee control documentation and ensure audit-ready evidence is maintained Assess and monitor Systems Development Life Cycle (SDLC) controls for new system implementations and changes Cross-Functional Partnership Partner with Engineering, Security, IT, DevOps, and Finance teams to implement scalable controls Work directly with technical partners to design controls that align with business operations Collaborate with process owners to identify control improvements and automation opportunities Support SEC cybersecurity disclosure requirements and ongoing monitoring of cyber risks External Audit Management Serve as the primary point of contact for external auditors on IT SOX matters Manage audit requests, coordinate testing schedules, and facilitate audit walkthroughs Track and report on IT SOX compliance status to leadership, the Board, and Audit Committee You may be a good fit if you: Have 10+ years of hands on IT audit and SOX compliance experience, preferably in both Big 4 and in-house internal audit/SOX leadership roles at a fast paced technology company Have proven ability to establish or scale SOX IT compliance programs at newly public or pre IPO companies Possess deep understanding of ITGCs, application controls, and risk assessments Have strong project management, analytical, and communication skills Hold a Bachelor's degree in Information Systems, Computer Science, Accounting, or a related field Are passionate about building scalable processes that support organizational growth and Anthropic's mission to create safe AI Strong candidates may also have: Experience with Workday, Salesforce, NetSuite, GitHub, or other enterprise business systems CISA, CIA, CPA, or similar certification Experience supporting rapid company growth and scaling compliance programs accordingly Interest in or experience applying AI/ML technologies to audit, compliance, or risk management processes Understanding of financial data security and compliance requirements Experience working at a high-growth AI or technology company Familiarity with auditing modern software development environments The annual compensation range for this role is 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. Our total compensation package for full-time employees includes equity and benefits. $300,000 - $360,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from email addresses. 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 directly for confirmed position openings. As set forth in Anthropic's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. We believe that AI will have a transformative impact on the world, and we're seeking exceptional candidates who collaborate thoughtfully with Claude to realize this vision. At the same time, we want to understand your unique skills, expertise, and perspective through our hiring process. We invite you to review our AI partnership guidelines for candidates and confirm your understanding by selecting "Yes." Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number Expires 04/30/2026 Why are you being asked to complete this form? We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress toward this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years. Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor's Office of Federal Contract Compliance Programs (OFCCP) website at How do you know if you have a disability? A disability is a condition that substantially limits one or more of your "major life activities." If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to: Alcohol or other substance use disorder (not currently using drugs illegally) Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS Blind or low vision Cancer (past or present) Cardiovascular or heart disease Celiac disease Cerebral palsy Deaf or serious difficulty hearing Diabetes Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders Epilepsy or other seizure disorder Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome Intellectual or developmental disability Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD . click apply for full job details
About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic is working on frontier AI research that has the potential to transform how humans and machines interact. As our models grow more powerful, securing them from exfiltration or misuse becomes critically important. In this role, you'll be helping to build and institute controls to lock down our AI training pipelines, apply security architecture patterns built for adversarial environments, and secure our model weights as we scale model capabilities. Responsibilities: Design and implement secure-by-default controls as they relate to our software supply chain, AI model training systems, and deployment environments. Perform security architecture reviews, threat modeling, and vulnerability assessments to identify and remediate risks. Support Anthropic's responsible disclosure and bug bounty programs and participate in the Security Engineering team's on-call rotation. Accelerate the development of Anthropic's security engineers through mentorship and coaching, and contribute to company building activities like interviewing. Help build greater security awareness across the organization and coach engineers on secure coding practices. Lead and contribute towards large efforts such as building multi-party authorization for AI-critical infrastructure, helping to reduce sensitive production access, and securing build pipelines. You may be a good fit if you: Have 8+ years of software development experience with a security focus. Have experience applying security best practices, like the principle of least privilege and defense-in-depth, to complex systems. Are proficient in languages like Rust, Python, Javascript/Typescript. Have a track record of launching successful security initiatives and working cross-functionally to enact such changes. Are passionate about making AI systems more safe, interpretable, and aligned with human values. Strong candidates may also: Have experience supporting fast-paced startup engineering teams Care about AI safety risk scenarios Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: Annual Salary: $300,000 - $320,000 USD Logistics Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 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.
04/02/2026
Full time
About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic is working on frontier AI research that has the potential to transform how humans and machines interact. As our models grow more powerful, securing them from exfiltration or misuse becomes critically important. In this role, you'll be helping to build and institute controls to lock down our AI training pipelines, apply security architecture patterns built for adversarial environments, and secure our model weights as we scale model capabilities. Responsibilities: Design and implement secure-by-default controls as they relate to our software supply chain, AI model training systems, and deployment environments. Perform security architecture reviews, threat modeling, and vulnerability assessments to identify and remediate risks. Support Anthropic's responsible disclosure and bug bounty programs and participate in the Security Engineering team's on-call rotation. Accelerate the development of Anthropic's security engineers through mentorship and coaching, and contribute to company building activities like interviewing. Help build greater security awareness across the organization and coach engineers on secure coding practices. Lead and contribute towards large efforts such as building multi-party authorization for AI-critical infrastructure, helping to reduce sensitive production access, and securing build pipelines. You may be a good fit if you: Have 8+ years of software development experience with a security focus. Have experience applying security best practices, like the principle of least privilege and defense-in-depth, to complex systems. Are proficient in languages like Rust, Python, Javascript/Typescript. Have a track record of launching successful security initiatives and working cross-functionally to enact such changes. Are passionate about making AI systems more safe, interpretable, and aligned with human values. Strong candidates may also: Have experience supporting fast-paced startup engineering teams Care about AI safety risk scenarios Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: Annual Salary: $300,000 - $320,000 USD Logistics Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 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.