Location: Mexico
You
Are passionate about technology, wake up every morning to experiment, learn and develop new solutions!
You Will
Work on latest edge Cloud computing to solve difficult, manual and repeatable tasks for users adopting Cloud technologies like AWS, Salesforce, Microsoft and more
Use the latest trends on building SaaS applications using multitenancy, scalability large data volumes / Big Data and more
Develop and expand our portfolio to support most popular Cloud apps (200+)
Develop understanding of not just software development, but also how to design, develop and launch a product from concept to high customer use.
About Us
At DBSync we provide opportunity to use technology that creates innovative and next generation data integration products which helps our employees to cultivate their creativity and sense of belonging. DBSync is a leading provider for data integration and Data warehousing services for both cloud/SAAS-based-on-demand applications. We were incubated by Salesforce.com (as a part of Avankia), before getting spunned off as a separate company. DBSync provides data integration as a SAAS-based, Standalone or hosted integration at a competitive price with a plethora of benefits for business users.
Our main motto is to provide a strong foundation for businesses in solving complex problems and automating their workflows while acting as a pillar of support for all their data integrations needs. At DBSync we encourage innovation and creativity and our team is diverse comprising of a nice mix of cultural blends. We are a family where each talent is recognised and honed for the best of the individual and the company as a whole. We maintain a very professional, learn and excel vision with a hint of a start-up-like environment making each individual feel important and responsible with an equal opportunity to grow to the sky’s limit!
If you have a spirit of enthusiasm to grow beyond horizons, a determination to work hard, confidence to achieve success and influence future visions and products and be a successful part of the next gen trend, DBSync is the place for you!
Our Value System
We genuinely care
We do not waste time on manual or mundane task
We have a fun environment
We own it
We are experts on what we do
We win together
DBSync has been:
We have been rated 4.7 / 5 on G2. We have got around 125 reviews in 2023.
Based on the reviews G2 has awarded DBSync following badges.
- Best Relationship- Winter 2024
- Leader Americas Winter 2024
- Best Results - Winter 2024
- Best Usability - Winter 2024
About the Role
The Forward Deployment Engineer (FDE) is a hybrid role at the intersection of engineering, business analysis, and customer success. Acting as the bridge between product teams and enterprise clients, FDEs ensure smooth deployment of AI-driven solutions, workflow automation, and SaaS integrations. They combine technical expertise with business acumen to translate client needs into production-ready solutions that drive measurable impact.
Roles and Responsibilities
Customer Discovery: Conduct structured workshops with client stakeholders to capture workflows, pain points, and desired outcomes.
Solution Design: Translate business requirements into technical workflows, automations, and integrations.
Deployment Execution: Configure, test, and deploy solutions, ensuring seamless go-live and adoption.
Workflow Automation: Build and customize automations using APIs, scripts, or low-code platforms.
Technical Troubleshooting: Diagnose integration issues, resolve blockers, and iterate based on client feedback.
Customer Advocacy: Serve as the technical expert during onboarding and beyond, ensuring long-term customer success.
Feedback Loop: Provide insights from deployments to product and engineering teams to shape roadmap priorities.
Skills and Qualifications
Bachelor's degree in Computer Science, Engineering, or related field — or equivalent demonstrated experience shipping production integrations.
4–8 years in a customer-facing technical role where you personally wrote and owned the code (Forward Deployed Engineer, Solutions Engineer, Integration Engineer, Implementation Engineer, or similar).
Strong coding ability (Python, Java, Go, or similar) — able to build and debug real integration logic, not just configure a UI.
Deep familiarity with SaaS systems, REST/SOAP APIs, webhooks, and authentication patterns (OAuth, API keys, SSO basics).
Experience with workflow automation platforms, CI/CD, and basic observability/monitoring tools.
Comfortable with SQL and at least one BI tool (Looker, Tableau, Superset) for validating data and demonstrating impact.
Demonstrated ability to operate independently in ambiguous, loosely-scoped situations and drive to a working solution.
Excellent communication skills — able to run a discovery workshop, explain a technical trade-off to a non-technical stakeholder, and write clear documentation.
Strongly Preferred
Hands-on experience with LLM/agentic frameworks (LangChain, LangGraph, CrewAI, or similar) and applying them to real workflow or data problems.
Experience with RAG pipelines, prompt/eval design, or AI observability and guardrails.
Prior experience embedded on-site with enterprise clients during implementation.
Nice to Have
Background in consulting or early-stage startup environments (frequently correlates with FDE success due to comfort with ambiguity and ownership).
MBA preferred.
Location:
Mexico (Remote, LATAM region)
Shift Timings:
U.S. Shift (8:00 AM CST - 5:00 PM CST)
For more information about DBSync, visit
www.mydbsync.com.
Video:
https://www.youtube.com/playlist?list=PLJzycdoERLoekPWNkXEsuih807TQAEnnB
Requirements
Benefits
Location: Poland
About the Opportunity
Dentons Europe is currently seeking a Information Security Engineer, specializing in Microsoft cloud technologies to play a key role in strengthening and evolving our security landscape.
In this role, you will design and implement security controls across cloud and hybrid environments, with a strong focus on Microsoft 365 and Microsoft Azure. You will operate at the intersection of architecture and execution shaping security decisions, guiding technical teams, and ensuring that systems, applications, and integrations meet the firm’s security, compliance, and reliability standards.
As a trusted advisor and technical authority, you will work closely with Information Security, IT, and business stakeholders across Europe, embedding security into the design and delivery of technology solutions while continuously improving the organization’s overall security posture.
This is an opportunity to make a visible, enterprise-wide impact in a complex, international environment.
You will primarily be accountable for
Design, implement, and maintain robust security and compliance controls across Microsoft 365, Microsoft Azure, and hybrid environments.
Act as a cybersecurity subject-matter expert for Europe and Country IT teams providing clear, practical guidance on secure design and implementation.
Assist in embedding security into application, infrastructure, identity, endpoint, and integration architectures (including APIs and data flows), ensuring alignment with secure development lifecycle practices and architectural standards.
Collaborate with architects, engineers, project teams, and business stakeholders to define security requirements as integral part of enterprise initiatives and technology solutions from the outset.
Work closely with SOC and CSIRT teams to support incident response activities, including investigation, containment, and remediation, and ensure lessons learned are reflected in improved controls and architecture.
Lead end-to-end vulnerability management activities, including vulnerability scanning, assessments, penetration testing coordination, and remediation tracking with system owners and technical teams.
Identify, assess, and mitigate security risks across cloud and enterprise environments, driving measurable improvements in the firm’s security posture.
Provide advanced troubleshooting and technical leadership for complex or high-impact security issues.
Develop and maintain security documentation, standards, reports, and control frameworks.
Requirements
Minimum 3 years of experience in cloud security or enterprise cybersecurity engineering
Advanced expertise in Microsoft Azure security, including
at least two of
:
Defender for Cloud
Microsoft Sentinel
Infrastructure / Network Security (IaaS)
Application and API security
Storage and database security
Advanced expertise in Microsoft 365 security, including
at least two of:
Microsoft Entra ID, identity and access management
Microsoft Purview, data protection and compliance
Microsoft 365 Defender suite
Intune / Endpoint Manager
Strong understanding of:
Security architecture principles, including Zero Trust, defense-in-depth and least privilege
Hybrid cloud environments and system integrations
Vulnerability management, including analyzing penetration testing and coordinating remediation of results
API security and modern integration technologies
Scripting and automation skills, e.g., PowerShell, Python or Bash
Strong interest in security architecture, with a desire to deepen exposure and grow toward architectural responsibilities
Professional experience
Proven experience designing and implementing secure solutions in Microsoft technologies-based enterprise environments
Experience working with large-scale or multi-country IT environments
Solid exposure to security operations, incident response and security tooling
Experience collaborating across infrastructure, development and business teams
Benefits
Private medical healthcare provided by Medicover
MultiSport card
Benefit Cafeteria system
Option to join a private insurance plan
An additional day off for your birthday
Tailored learning & development opportunities
Hybrid work model with a modern office in Warsaw city center
Location: San Francisco, CA | New York City, NY | 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 Enforcement Analyst focused on Bio Harms, you will play a critical role in protecting against the misuse of AI systems for biological and related CBRNE harms. You will enforce our Usage Policy with a specific focus on detecting and mitigating bio risks, investigating potential violations, and help continuously strengthen our safeguards. The work sits at the intersection of biosecurity threat analysis and platform enforcement: you will read real model interactions and make fast, well-reasoned calls about whether activity is benign research or a credible attempt at harm.
This role is a fit for someone who understands the dual-use nature of biology and enabling technologies well enough to separate the benign from the malicious. You will own and continuously improve the enforcement monitoring workflows for the bio-harms area, and you will work closely with Policy, Threat Intelligence, Data Science, and Engineering cross-functional partners to accomplish tasks at scale. Safety is core to our mission, and your work will directly protect individuals, communities, and critical systems.
Important context for the role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including material of a sexual, violent, or psychologically disturbing nature. The role also carries a shared on-call responsibility across the Policy and Enforcement teams.
Key responsibilities
Enforce Usage Policies with a specific focus on detecting and mitigating potential bio risks and harmful use of AI systems.
Take ownership of enforcement monitoring workflows for the bio-harms area, improving end-to-end detection, investigation, triage, and escalation processes.
Monitor and analyze platform activity to identify emerging patterns related to biological (and adjacent chemical, radiological, nuclear, and explosive) threats that may require policy updates or enforcement action.
Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy across a technically complex content surface.
Conduct thorough investigations of potential violations, gathering and documenting evidence to support enforcement decisions.
Proactively surface trends and propose improvements to detection methods and review workflows.
Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for bio-related policy violations.
Partner with Policy and Threat Intelligence groups to understand potential exploits and contribute to risk-assessment frameworks, and partner with engineers iterating on safety systems.
Provide enforcement-grounded feedback on policy gaps, and handle escalations and time-sensitive situations related to potential bio-related Usage Policy violations.
Minimum qualifications
Hold a degree in a bio-related field (e.g., microbiology, molecular biology, biochemistry, public health) and/or relevant professional experience in a related field.
Possess experience in Trust & Safety, content moderation, or policy enforcement at platform scale, including working with generative AI tools to refine and optimize content review and enforcement workflows.
Possess experience in utilizing AI tools to develop data dashboards for metrics collection in support of continuous improvement efforts.
Can analyze complex, ambiguous situations and make well-reasoned, defensible decisions under time pressure.
Are proactive and self-directed: you spot trends, dig in, and ship improvements on your own initiative.
Communicate clearly in writing and can translate technical bio concepts for diverse audiences, including both technical and non-technical stakeholders.
Preferred qualifications
Subject matter expertise in biodefense, biosecurity, WMD/CBRNE non-proliferation, or threat-intelligence.
An understanding of where real-world biological risk actually lies — adversary intent, acquisition and weaponization pathways, and dual-use concerns, including familiarity with cross-platform threat analysis and open-source intelligence (OSINT) techniques relevant to weapons of mass destruction.
Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health.
Familiarity with dual-use research of concern (DURC), select agents, and relevant policy frameworks.
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:
$245,000
—
$285,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | 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 Enforcement Analyst focused on Chem & Explosives Harms, you will play a critical role in protecting against the misuse of AI systems for chemical and explosives harms. You will enforce our Usage Policy with a specific focus on detecting and mitigating these risks, investigating potential violations, and help continuously strengthen our safeguards. The work sits at the intersection of chemical and explosives threat analysis and platform enforcement: you will read real model interactions and make fast, well-reasoned calls about whether activity is benign research or a credible attempt at harm.
This role is a fit for someone who understands the dual-use nature of chemistry and explosives technologies well enough to separate the benign from the malicious — and who acts decisively under ambiguity. You will own and continuously improve the enforcement monitoring workflows for this harm area, and you will work closely with Policy, Threat Intelligence, Data Science, and Engineering matrix partners to accomplish tasks at scale. Safety is core to our mission, and your work will directly protect individuals, communities, and critical systems from AI-facilitated weapons harm.
Important context for the role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including material of a sexual, violent, or psychologically disturbing nature. The role also carries a shared on-call responsibility across the Policy and Enforcement teams.
Key responsibilities
Enforce Usage Policies with a specific focus on detecting and mitigating potential chemical and explosives risks and harmful use of AI systems.
Take ownership of enforcement monitoring workflows for the chemical and explosives harm area, improving end-to-end detection, investigation, triage, and escalation processes.
Monitor and analyze platform activity to identify emerging patterns related to chemical and explosives threats (within the broader CBRNE landscape) that may require policy updates or enforcement action.
Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy across a technically complex content surface.
Conduct thorough investigations of potential violations, gathering and documenting evidence to support enforcement decisions.
Proactively surface trends and propose improvements to detection methods and review workflows without waiting to be directed.
Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for policy violations.
Partner with Policy and Threat Intelligence teams to understand potential exploits and contribute to risk-assessment frameworks, and partner with engineers iterating on safety systems.
Provide enforcement-grounded feedback on policy gaps, and handle escalations and time-sensitive situations related to chemical and explosives policy violations.
Minimum qualifications
Hold a degree in a chemistry-related field (e.g., chemistry, chemical engineering, materials science) and/or relevant professional experience in a related field.
Possess experience in Trust & Safety, content moderation, or policy enforcement at platform scale, including working with generative AI tools to refine and optimize content review and enforcement workflows.
Possess experience in utilizing AI tools to develop data dashboards for metrics collection in support of continuous improvement efforts.
Can analyze complex, ambiguous situations and make well-reasoned, defensible decisions under time pressure.
Are proactive and self-directed: you spot trends, dig in, and ship improvements on your own initiative.
Communicate clearly in writing and can translate technical chemistry concepts for diverse audiences, including both technical and non-technical stakeholders.
Preferred qualifications
Subject matter expertise in chemical and explosives defense, security, WMD/CBRNE non-proliferation, or threat-intelligence.
An understanding of where real-world chemical and explosives risk actually lies — adversary intent, acquisition and weaponization pathways, and dual-use concerns, including familiarity with cross-platform threat analysis and open-source intelligence (OSINT) techniques relevant to weapons of mass destruction.
Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health.
Familiarity with the Chemical Weapons Convention (CWC), scheduled chemicals, precursor controls, and energetic-materials safety frameworks.
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:
$245,000
—
$285,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Safeguards Enforcement Analyst on the Child Safety team, you will be responsible for our child safety enforcement workflows, responsible for scaling, maintaining, and continuously improving the systems and processes we use to detect and respond to child sexual abuse material (CSAM) and child sexual exploitation material (CSEM) generated or facilitated through Anthropic's products.
This is a deeply operational role. You will serve as the central point of contact for those who conduct content review, managing day-to-day workflows, quality assurance, and escalation processes to ensure reviews are accurate, consistent, and conducted with appropriate support structures in place. You will also work closely with internal Engineering, Policy, and Legal teams to scale detection systems and close enforcement gaps as the threat landscape evolves.
This work is essential to Anthropic's mission. Child safety is one of our highest-priority harm areas, and the person in this role will have a direct and meaningful impact on protecting children from AI-facilitated exploitation and abuse.
Important context for this role: In this position you will regularly be exposed to and engage with explicit content of a sexual nature involving minors, as well as content that may be violent or psychologically disturbing. Anthropic takes the wellbeing of team members working in this area seriously and provides access to wellness resources and support. Candidates should carefully consider this aspect of the role before applying.
Key responsibilities
Own the day-to-day operational management of child safety content review workflows, including task routing, queue management, escalation handling, and SLA monitoring
Serve as the primary point of contact for review partners conducting child safety content review, including onboarding, training, quality assurance, and ongoing relationship management
Design and improve enforcement workflows to scale effectively as volume grows, while maintaining high accuracy and consistency across review decisions
Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for CSAM, CSEM, and related child safety policy violations
Review novel or ambiguous flagged content to drive enforcement decisions and surface policy gaps to the Safeguards policy design team
Develop and maintain internal documentation, decision trees, and review guidelines that enable accurate and consistent enforcement at scale
Keep up to date with emerging AI policy enforcement best practices, evolving legal frameworks, and developments in child safety technology, and use these to inform our workflows
Identify and report trends in misuse patterns to internal stakeholders, including Policy, Legal, and Trust & Safety leadership
Coordinate reporting obligations to relevant external bodies (e.g., NCMEC) in accordance with applicable law and Anthropic policy
Minimum qualifications
Experience in trust & safety, content moderation operations, or policy enforcement with direct exposure to child safety, CSAM/CSEM, or related child protection harm areas
Experience managing or coordinating content review operations, including quality assurance and workflow management
Experience standing up and scaling policy enforcement or content review workflows
Proficiency in SQL and/or other data analysis tools to monitor workflow health, review queue metrics, and surface enforcement trends
Experience identifying emerging risks and communicating findings to cross-functional stakeholders, such as Product, Policy, Engineering, and Legal teams
Understanding of the challenges involved in implementing product policies at scale in the content moderation space
Preferred qualifications
Deep subject matter expertise in child safety, child sexual exploitation and abuse (CSEA), or online child protection, including familiarity with CSAM/CSEM classification standards (e.g., COPINE, SAM scale)
Experience working with or reporting to NCMEC, IWF, or equivalent child safety reporting bodies
Familiarity with relevant legal and regulatory frameworks, including CSAM reporting obligations, KOSA, COPPA, or equivalent international frameworks
Experience working with generative AI products, including an understanding of how AI systems can be misused to generate or facilitate CSEA
Experience designing or evaluating trauma-informed support structures and wellness protocols for content reviewers working with harmful material
Proficiency in Python for workflow automation or data analysis
Experience working with hash-matching technologies (e.g., PhotoDNA, CSAI Match) or perceptual hashing tools used in CSAM detection
Familiarity with age assurance technologies and their role in child safety enforcement
Experience in a trust & safety role at a technology company, with an understanding of how platform policy intersects with child protection obligations
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:
$245,000
—
$285,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Claude Platform ships fast, and every launch lands better when the field can understand it, demo it, and teach it.
You'll own platform enablement end to end: the demos, hands-on labs, and technical curriculum that let Anthropic's go-to-market teams showcase the Claude Developer Platform with confidence, whether they're building on Anthropic's first-party API or through Bedrock, Vertex, and Foundry. You'll join roadmap and launch planning with the product team before features ship, so the field has what it needs on day one.
You're an engineer who teaches. You've shipped products to users. You know the difference between a demo that raises awareness and one that creates champions. And you get as much energy from watching a seller nail your lab as from building it yourself.
Key responsibilities
Turn launches into field-ready content:
Translate new platform capabilities (API, tool use and MCP, Agent SDK, memory and skills) into demos, labs, and quick-reference guides within days of release, and build compelling demo scenarios across industries and developer personas
Deliver training that sticks:
Run Claude Platform training for technical onboarding and ongoing enablement programs, delivering hands-on sessions wherever the field gathers, from a 12-person lab to a 100-person field-readiness day
Coach the field:
Coach technical sellers on demo delivery through practice sessions and office hours
Scale beyond the live session:
Develop self-service resources and experimental tools so the field can learn without you in the room, and contribute to the tooling that scales enablement, including demo environments, content-freshness automation, and self-service infrastructure
Close the loop with product:
Stress-test new platform features before launch, then bring field signal back to product and product marketing on where sellers get stuck and what content would unlock the next deal
Measure what lands:
Track content usage and session feedback so you know what is working and what to retire
Minimum requirements
Experience in a customer-facing technical role, such as solutions architecture, sales engineering, developer relations, or technical enablement
Experience writing production-quality code and building technical demos
Hands-on experience building with LLM APIs and agents, including tool use, MCP, or agent frameworks, beyond prompting alone
Experience using AI coding tools as part of your daily engineering work
Experience delivering live technical training or talks to both technical and non-technical audiences
Experience partnering directly with sales, solutions engineering, or other go-to-market teams
Preferred requirements
A portfolio you can show us: labs, courses, talks, or repos you built yourself
Experience with Claude Code, or a comparable agentic coding tool, as core infrastructure in your daily work
Experience building on the Claude Developer Platform through cloud providers such as Amazon Bedrock, Google Vertex AI, or Microsoft Foundry
Experience as a technical founder, early startup employee, or 0-to-1 operator who has taken an idea to product-market fit
Public speaking, conference presentations, or community-facing developer advocacy
Experience building enablement tooling, such as demo environments, content-freshness automation, or self-service infrastructure
Deep enthusiasm for AI and genuine care about building it responsibly
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Safeguards Enforcement Analyst on the user well-being team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be on how Anthropic handles age. A core part of this work is making sure our consumer products reach the right audiences, including the detection signals, verification paths, and appeals workflows that keep underage users off surfaces not designed for them. Claude also reaches younger users through third-party developers building on our API, and you'll be the enforcement partner that sales and platform teams rely on when those customers need guidance on deploying age-appropriately.
This position may expand into broader areas of user well-being enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.
Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams.
Key responsibilities
Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy
Partner with Engineering and Data Science teams to optimize detection models for policy violations and automated enforcement systems
Review flagged content to drive enforcement and policy improvements
Enforce usage policies with a focus on detecting and mitigating potential harmful use of AI systems
Work with Legal, Public Policy, and Privacy stakeholders to keep our age assurance approach proportionate, privacy-preserving, and responsive to an evolving regulatory landscape
Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios
Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows
Responsible for Anthropic's layered age assurance approach - self-declaration, behavioral signals, verification, and ban appeals - to keep our first-party consumer products safe
Adjacent user well-being enforcement where age is a key factor in how policy is applied such as sexual content and illicit substances
Minimum qualifications
Experience in trust and safety, online child safety, age assurance, privacy, product policy, or a related field
Subject matter expertise in one or more of: age assurance or age verification systems, age-appropriate design, child online safety, privacy-preserving verification methods, or content classification for young people
Experience driving cross-functional initiatives with Product, Engineering, Legal, and Policy partners — especially where safety, privacy, and usability tradeoffs need to be navigated together
Experience navigating evolving regulatory landscapes and enforcement best practices with regards to age assurance (including frameworks like the UK AADC, COPPA, and the DSA), CSAM/CSEM, NCII, and digital well-being
A thoughtful perspective on the privacy/safety tradeoffs inherent in age verification — including when less invasive approaches are the right call
Strong written communication skills, with experience producing clear briefs and recommendations for technical and non-technical stakeholders
Comfort using data (SQL or similar tools) to measure what's working and inform decisions
Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams
Preferred qualifications
Experience building or operating age-gating flows, age estimation signals, underage account detection, or appeals workflows
Experience advising or partnering with third-party platforms on deploying safely to younger users
Experience working with or evaluating third-party age verification providers
A deep interest in AI safety and responsible technology development
Experience writing effective prompts for generative AI systems in a content review or enforcement context
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:
$245,000
—
$285,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Safeguards Analyst focusing on Integrity & Authenticity, you will be responsible for building and executing enforcement workflows for our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for coordinated inauthentic behavior, election manipulation, and targeting, tracking, and surveillance of individuals.
Your work will span a broad and interconnected set of harm areas: AI-enabled influence operations and disinformation campaigns, the abuse of AI to interfere with electoral processes, and the use of AI systems to facilitate stalking, surveillance, profiling, and the targeting of individuals or groups. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.
Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a political, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays, particularly around major electoral events.
Key responsibilities
Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy
Partner with Engineering and Data Science teams to optimize detection models for policy violations and automated enforcement systems
Review flagged content to drive enforcement and policy improvements
Enforce usage policies with a focus on detecting and mitigating AI-enabled influence operations, coordinated inauthentic behavior, election interference, and targeting, tracking, or surveillance of individuals and groups
Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios
Keep up to date with emerging AI policy enforcement best practices, evolving threat actor tactics, and the regulatory landscape around elections, privacy, and surveillance, using these to inform our decision-making and workflows
Minimum qualifications
Experience in trust & safety, policy enforcement, threat intelligence, or a closely related field with a focus on one or more of: influence operations, disinformation, coordinated inauthentic behavior, election integrity, or privacy and surveillance harms
Experience standing up and scaling policy enforcement or content review workflows
Proficiency in SQL and/or other data analysis tools to draw insights from large datasets
Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams
Experience working with generative AI products, including writing effective prompts for content review and enforcement
Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space
Preferred qualifications
Experience conducting cross-platform investigations into influence operations, coordinated inauthentic behavior, or disinformation campaigns
Familiarity with open-source intelligence (OSINT) techniques and tools used for threat actor tracking and network analysis
Working knowledge of privacy law, surveillance technology, or data broker ecosystems as they relate to targeting and tracking harms
Experience with large language models and an understanding of how AI technology could be misused to generate synthetic personas, fabricate quotes, or automate persuasion at scale
Familiarity with election security frameworks, campaign finance law, or electoral integrity standards in one or more jurisdictions
Experience navigating evolving regulatory landscapes relevant to this space (e.g., DSA, EU AI Act, FEC regulations, GDPR)
Experience working with election bodies, civil society organizations, or government agencies on integrity or disinformation-related issues
Proficiency in Python for data analysis and automation
Experience with dark web monitoring or tracking threat actors across surface, deep, and dark web environments
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:
$285,000
—
$330,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Safeguards team is seeking a Red Team Engineer to help ensure the safety of our deployed AI systems and products. In this role, you'll take an adversarial approach to uncover vulnerabilities across our product ecosystem before they can be exploited by malicious actors. Your work will span from technical infrastructure vulnerabilities on our products to emergent risks from advanced AI capabilities.
While you'll bring best practices from traditional security approaches, the focus is on broader safety implications and novel abuse unique to advanced AI systems and associated products. You'll investigate the full spectrum of potential abuse — from coordinated account manipulation and payment fraud to novel exploitation of product features — and simulate sophisticated threat actors who chain multiple attack vectors to achieve their objectives.
Key responsibilities
Conduct comprehensive adversarial testing across Anthropic's product surfaces, developing creative attack scenarios that combine multiple exploitation techniques
Research and implement novel testing approaches for emerging capabilities, including agent systems, tool use, and new interaction paradigms
Design and execute "full kill chain" attacks that emulate real-world threat actors attempting to achieve specific malicious objectives
Build and maintain systematic testing methodologies that evaluate every aspect of our systems
Develop automated testing frameworks to enable continuous assessment at scale
Collaborate with Product, Engineering, and Policy teams to translate findings into concrete improvements
Help establish metrics for measuring detection effectiveness of novel abuse
Minimum qualifications
Experience in penetration testing, red teaming, or application security
Experience in model jailbreaking and testing large-scale agentic workflows for non-obvious prompt injection vectors
Strong technical skills in web application security, including hands-on expertise with security testing tools (e.g., Burp Suite, Metasploit, custom scripting frameworks)
Experience building custom automation, including LLM-specific testing frameworks
A track record of discovering novel attack vectors and chaining vulnerabilities in creative ways
A public body of work such as CVEs, blog posts, or disclosed bug bounty reports
Strong written and verbal communication skills, with the ability to explain technical concepts to varied audiences
Preferred qualifications
Experience with AI/ML security or adversarial machine learning
Understanding of AI safety considerations beyond traditional security, including modern guardrails against jailbreaks
Experience testing API security and rate-limiting systems
Background in testing business logic vulnerabilities and authorization bypass techniques
Background in anti-fraud, trust & safety, or abuse prevention systems
Familiarity with distributed systems and infrastructure security
Familiarity with abuse detection mechanisms and the ability to engineer novel bypasses
Adaptability to understand and build engagements around emerging threats outside your direct area of expertise
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Paris; London
Workplace: OnSite
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
As an AI Scientist, you will push the boundaries of AI by developing and scaling cutting-edge models. This role exists to advance Mistral’s mission of democratizing frontier intelligence, enabling businesses and consumers to benefit from open, high-impact AI systems. You will collaborate with a global, cross-functional team to design, build, and deploy models that solve real-world problems across reasoning, code, and multimodal applications. Your work will directly shape how AI integrates into daily life and enterprise operations.
WHAT YOU WILL DO
- Research and develop novel methods to advance the capabilities of LLMs.
- Design and implement tooling and infrastructure for training, evaluating, and analysing AI models at scale.
- Collaborate with scientists, engineers, and product teams to ship AI systems with tangible impact.
- Explore and innovate across use cases such as reasoning, code generation, and agent-based systems.
- Work with multimodal data, including text, image, and speech, to expand model capabilities.
- Optimise distributed systems to improve the efficiency and scalability of model training.
- Contribute to the open-source community by releasing frontier models for public use.
WHAT WE'RE LOOKING FOR
- A track record of contributing to relevant scientific domains, such as publications or open-source projects.
- Hands-on experience with AI frameworks like PyTorch or JAX, or distributed systems such as Ray or Kubernetes.
- Proficiency in at least one programming language, such as Python, Rust, Go, or Java.
- Ability to design complex software systems and transition them into production environments.
- Experience with training large transformer models in a distributed setting.
- Familiarity with the full MLOps stack, including fine-tuning, evaluation, and deployment.
- A self-starter mindset with the autonomy to drive projects forward and collaborate effectively in a team.
- Strong engineering competence, with a focus on building scalable and reliable systems.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Palo Alto; New York; San Francisco
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.
The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.
In this role, you’ll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalising our research in production settings.
What You Will Do
• You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces.
• You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
• You’ll individually help deploy into production use cases with a considerable business impact across various industries.
• You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open source codebases for tasks such as inference and fine-tuning.
• You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.
• Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback
What We're Looking For
• You are fluent in English
• You hold a PhD / master in AI / data science.
• You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
• You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases
• You have deep understanding of concepts and algorithms underlying machine learning and LLMs
• You're experienced with building and deploying LLMs or NLP applications
• You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.
• You have strong technical coding skills in Python
• You have experience with deep learning with Pytorch
• You have experience with agents framework such as Langchain, vector DBs
• You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences
Ideally you have:
• Contributed to open-source projects in particular in the space of LLMs
• Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: New York
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
We are seeking passionate and skilled software engineers to join our new team in NYC. As a Backend Engineer, you’ll contribute to the development of the core systems powering our three main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale. You’ll work on building reliable, high-performance backend systems and APIs that serve millions of users and developers. Your work will directly impact the developer and user experience, making it more engaging, efficient, and intuitive. We welcome engineers from mid-level to senior and staff engineers who are eager to learn, collaborate and ship impactful products.
What You Will Do
Depending on your skills and field of expertise, you will be involved in key components of our technology, including:
Backend Development
- Design, develop and maintain scalable, robust backend features and APIs using modern frameworks.
- Ensure high performance and reliability across our distributed systems.
- Contribute to systems powering inference, billing, AI tooling, observability, and developer experience.
System Architecture
- Design and implement efficient, secure and scalable architectures that support our fast-growing products.
- Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.
Code Quality
- Write clean, maintainable and well-documented code.
- Participate in code reviews and contribute to technical standards and best practices.
Cross-functional Collaboration
- Collaborate with product managers, platform engineers, and AI/ML teams to design, build, and deliver scalable model-as-a-service solutions for developers and enterprise users.
- Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.
Problem-Solving & Innovation
- Tackle complex engineering challenges, from distributed systems to AI product integration.
- Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.
What We're Looking For
• Degree in Computer Science, Software Engineering, or equivalent practical experience.
• Proficiency in Python or another backend language (Golang, Kotlin, C#). Engineers are assessed in their preferred language during a live coding session.
• Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures.
• Strong problem-solving abilities and attention to detail.
• Ownership mindset capable of shipping end-to-end features with minimal oversight.
• Excellent communication skills and collaborative attitude.
• Team-oriented, low-ego mindset and curiosity for learning.
Now, it would be ideal if you had experience with:
• Full-stack exposure
• Working closely with an API & developer ecosystem
• Deploying software to a diverse set of environments (cloud, on-premises, etc.)
• Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform...)
• AI/ML engineering
• Observability and monitoring tools (Prometheus, Grafana, Datadog…).
• UX and product-centric mindset.
Hiring Process
• Introduction call - 30 min
• Live-coding interview - 45 min
• System Design interview - 45 min
• Hiring Manager interview - 30 min
• Deep Dive Interview (only for leads & staff engineers) - 60 min
• Culture-fit discussion - 30 min
• Reference checks
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: New York
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.
You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.
As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.
WHAT YOU WILL DO
- Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.
- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.
- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.
- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.
- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.
- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.
WHAT WE'RE LOOKING FOR
- You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.
- You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.
- You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.
- You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
- You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.
- You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.
- You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.
- You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.
Ideally, you have:
- Contributed to open-source projects, particularly in the LLM or AI space.
- Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.
- A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.
Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are looking for a Staff Program Manager to own the Services Business Process Automation (BPA) function — the digital backbone of our Services organisation. BPA runs the Service Lifecycle Management (SLM) platform, the Business Intelligence and reporting layer, and the integration of our business applications with customer IT/OT ecosystems — all operating within the corporate IT governance framework.
This is a strategic, hands-on ownership role. You will define and own the BPA program and roadmap, lead cross-functional platform deployments end to end, and connect corporate digitalization strategy to on-the-ground Services execution. You will work closely with Services leadership, product and corporate IT, and external technology partners.
WHAT YOU’LL DO:
- Define, own, and continuously evolve the BPA roadmap: SLM platform strategy, BI architecture, process-automation priorities, and customer IT/OT integration.
- Translate corporate digitalization objectives and Services business priorities into a structured, time-phased program with clear milestones and resource plans.
- Lead cross-functional software deployments and platform integrations from requirement scouting to hypercare, applying Agile (Scrum/Kanban) and structured PMO practices.
- Own the program-governance framework — risks, dependencies, change control, escalation, and steering-committee reporting — and track schedule, budget, adoption, data quality, and SLA impact.
- Champion the Services Lean First KPI framework and ensure BI reporting reflects real operational progress across the whole Services organisation.
- Manage vendor relationships, program budgets, and build-vs-buy-vs-integrate decisions for new BPA tools and platforms.
- Act as the strategic interface between Services leadership, product leadership, and corporate IT — simplifying complex technical realities into clear business narratives for executives.
WE’RE LOOKING FOR:
- 8–12+ years in digital/IT program management, with a track record of leading large-scale CRM, SLM, or ERP deployments.
- Proven success managing complex cross-functional programs in mechatronics, industrial automation, robotics, field service, or advanced manufacturing.
- PMP, PRINCE2, or equivalent program-management certification; Agile (SAFe, Scrum Master, or Kanban) is a strong plus.
- Solid understanding of CRM and SLM platforms, BI architectures, and enterprise integration patterns.
- Experience holding full budget accountability for digitalization programs.
- Elite stakeholder communication — able to build consensus across diverse functional and executive stakeholders.
NICE TO HAVE:
- Exposure to humanoid robotics, cobots, or other advanced-technology industries.
- Familiarity with service benchmarks in relevant industries.
- Experience introducing BI as a shared intelligence layer across a multi-team organisation.
- PMO tooling proficiency (MS Project, Jira, Smartsheet, or equivalent).
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: Paris; London
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
As Group Financial Controller on the Accounting team, you will ensure the accuracy, completeness, and compliance of all accounting records and financial statements for Mistral AI. This purely accounting-focused role is critical for overseeing the review of accounting entries, collaborating with auditors, and enforcing rigorous financial controls. Reporting to the Group Accounting Director, you will work closely with the Internal Control department to mitigate risks and uphold the highest standards of financial reporting, directly supporting Mistral’s global operations.
WHAT YOU WILL DO
- Conduct detailed reviews of accounting entries (journal entries, accruals, provisions, intercompany transactions, etc.) to ensure compliance with IFRS and French GAAP.
- Act as a critical partner to the Accounting Ops Lead, ensuring robustness in the close process and R2R outputs.
- Implement and enforce financial control frameworks, including segregation of duties, approval workflows, and reconciliation processes.
- Serve as the primary liaison with external auditors (Big 4 firms) during statutory audits, ensuring timely and accurate delivery of requests.
- Oversee the preparation of audit-ready financial statements for all Group entities, including consolidated and statutory reporting.
- Collaborate with the Tax team to ensure compliance with tax and regulatory obligations (VAT, corporate tax, payroll taxes, etc.).
- Review and approve balance sheet reconciliations, P&L analyses, and flux analyses to guarantee financial data integrity.
- Support the design and monitoring of key controls to prevent errors, fraud, or misstatements in financial reporting.
- Review management reporting packages, including variance analyses and ad-hoc financial analyses for senior leadership.
WHAT WE'RE LOOKING FOR
- At least 10 years of experience, including Big 4 audit experience, with a strong background in statutory audits, financial due diligence, and accounting reviews.
- Tech start-up/scale-up experience, with hands-on expertise in high-growth environments (preferably in AI, software, or deep tech).
- Deep expertise in IFRS, with a focus on financial reporting, consolidation, and compliance; expertise in French GAAP is a plus.
- Strong proficiency in SAP S4 and advanced Excel for financial analysis and reporting.
- Rigorous attention to detail, analytical rigor, and a zero-tolerance policy for errors in financial reporting.
- Strong collaboration skills to work effectively with auditors, internal control teams, and senior leadership.
- Proactive and solution-oriented mindset to identify risks and implement corrective actions.
- Fluent in English; French is a plus.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Application Security team secures the systems that build, serve, and increasingly
are
Claude — and as Anthropic's footprint grows, that mandate now extends to companies and codebases we bring in from outside. This role establishes that function.
You'll own security due diligence and secure integration for Anthropic's acquisitions — assessing a target's security posture pre-close, writing the security risk readout for leadership, and after close, bringing acquired systems up to Anthropic's bar. Security has been part of every deal to date, but this is the first dedicated role for it: you'll formalize the playbook, the risk model, and the tooling, and make them repeatable.
This is an AppSec role first. You'll be an active member of the Application Security team — same rituals, same on-run rotation, same tooling, working alongside engineers securing Anthropic's own agentic product surfaces. The expectation is the same too: we use Claude as our primary tool, and you're expected to automate the repeatable parts of diligence and integration as you go, so each acquisition is easier than the last. When deal flow is quiet, you'll pick up core AppSec project work; when it's active, M&A is your priority.
We're upfront that the center of gravity here is M&A rather than core product security. It's burstier, more assessment-heavy, and operates on confidential, time-sensitive work. If you like parachuting into an unfamiliar codebase under time pressure and turning it into a clear risk picture for leadership, this is that job.
Key responsibilities
Lead pre-close security due diligence on prospective acquisitions — coordinate external penetration testing, threat-model the target's architecture, assess security controls, and deliver the security risk readout for leadership ahead of close and integration planning
Drive post-close security integration — stand up static and dynamic analysis coverage on acquired codebases, track high- and critical-severity remediation to closure, fold acquired assets into bug bounty scope, and onboard repositories to Anthropic's automated vulnerability remediation and reporting systems
Coordinate adjacent security engineering teams (supply chain, cloud, corporate security, detection & response) on their portions of each integration
Work across a wide set of stakeholders on every deal — corporate development, legal, security leadership, and the engineering teams inheriting acquired systems internally; engineering and security counterparts at the target company externally — translating between them and keeping the security workstream legible to all of them
Formalize and scale Anthropic's M&A security playbook — risk-scoring model, diligence runbook, integration checklist — and turn as much of it as possible into Claude-powered tooling rather than manual process
Share the team's operational on-run rotation (bug bounty escalations, launch consults, incident response), swapping out during periods of active deal work
Contribute to core AppSec projects between deals — secure design reviews, threat modeling for agentic systems, and the team's security automation roadmap
Minimum qualifications
Hands-on application and infrastructure security experience, including cloud and containerized environments
Demonstrated ability to rapidly assess an unfamiliar codebase or architecture and produce a clear, prioritized risk assessment for a non-security audience
Production-quality coding ability in at least one of Python, Go, Rust, or TypeScript
Practical threat-modeling and vulnerability-identification skills — you've found and reasoned about real bugs in real systems
Comfort operating with high autonomy, ambiguity, and tightly-held confidential context
Clear written and verbal communication across varied audiences — executives, legal and corporate development partners, and engineering counterparts at an acquired company
Preferred qualifications
7+ years in application security, security consulting, or security architecture
Prior M&A security due diligence, third-party security assessment, or technical due diligence experience
Experience standing up or scaling SAST/DAST, bug bounty, or vulnerability management coverage across multiple codebases
Track record of building security automation or tooling rather than relying solely on manual review
Familiarity with using LLMs as a core part of your security workflow
Experience securing agentic, code-execution, or LLM-integrated systems
Representative projects
Point Anthropic's internal LLM-driven code analysis and AI-assisted scanning at an acquired repository nobody here has seen, and turn the output into a prioritized remediation plan in days rather than weeks
Design the risk-scoring framework Anthropic uses to compare security posture across acquisitions of different shapes and sizes
Build the automation that onboards an acquired codebase to Anthropic's vulnerability dashboard, dependency auto-patching, and bounty scope without a human running a checklist
Write the security risk memo for a live deal and present it to corporate development and security leadership
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United States; Canada (BC & ON only)
Workplace: Remote
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.
We're looking for a Staff Product Manager, AI to own the agents and the platform they run on inside Source, a new product where modern marketing teams and their AI agents build, optimize, and scale digital experiences together. Source connects a company's codebase and marketing stack into one governed workspace.
Your area spans the experience of working alongside those agents, the platform underneath (the framework, sessions, memory, and evals), how agents reach Source from outside it through MCP and the CLI, and the durable context every agent works from.
That means serving two groups at once. The developers who connect and extend the system, and the marketing teams doing the ongoing work of building brand and driving growth inside it. Both now work alongside agents, and neither will hand over real responsibility to something they can't trust. Much of what "good" looks like here hasn't been written yet, and you'll define it.
ABOUT THE ROLE:
- Location: Remote-first (United States; BC & ON, Canada)
- Full-time
- Permanent
- Exempt
- The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills.
- United States (all figures cited below are in USD and pertain to workers in the United States)
- Zone A: $212,500 - $255,000
- Zone B: $200,00 - $240,000
- Zone C: $186,700 - $224,000
- Canada (figures cited below are in CAD and pertain to workers in ON & BC, Canada
- 232,000 - 278,000
This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals.
Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
- Application Information:
- Application deadline: applications accepted on an ongoing basis until position is closed and filled
- This posting is for a new position
- Reporting to the Director of Product
As a Staff Product Manager, AI, you'll…
- Own the vision, strategy, and roadmap for the agent platform underneath Source: the agent framework and service, agent sessions, shared context and memory, the core orchestrator, and the experience of steering agents while they work. You'll set the direction and drive it through to delivery with Engineering, Design, and Data.
- Ensure agents are capable, and safe to hand real responsibility to. Agents should disclose what they can do and where they came from, run with limited permissions, and land their work as a reviewable change rather than a silent merge. You'll define how autonomy expands as trust builds, along with the audit trail and cost visibility that make it defensible.
- Set the standard for what "good" means when products never behave the same way twice. Define the quality bar for agent experiences, and the eval infrastructure, harnesses, guardrails, and metrics that hold the whole area to it.
- Build the primitives once that every Source workstream ships on. Teams across Webflow are building specialized agents on your platform, from site building and content to optimization and marketing. Sequence the work so the pieces reinforce each other rather than solving the same problem three times.
- Make Source reachable from wherever the work happens. Own the MCP and CLI interfaces so outside agents and scripts get the same capabilities as embedded agents, under the same disclosure and permission model.
- Centralize the context agents build from. Agent Instructions give a project durable, governed steering, so every agent works from the same brand, structure, and business context instead of rediscovering it session by session. You'll decide how that concept evolves inside Source.
- Drive alignment across Webflow, not just your own teams. Represent the agent area to leadership and to the other Source workstreams, partner closely with the team building deterministic and long-running agent workflows, and navigate cross-functional disagreement independently and constructively.
- Roll up your sleeves and build. Product Managers at Webflow deliver value any way they can, up to and including contributing to the product directly in code. You'll prototype ideas, ship improvements yourself where it helps, and stay close enough to the implementation to make sharp product calls.
- Place durable, multi-quarter bets as the AI landscape shifts. Models, protocols, and techniques are evolving fast; you'll stay close to customers, tell real standards from fads, and keep raising the bar on how fast and how well we ship.
ABOUT YOU:
Requirements:
- BS / BA college degree or relevant experience
You'll thrive as a Staff Product Manager, AI, if you:
- Have 8+ years of product management experience, with deep expertise in AI-powered systems and a track record of owning strategy for large, ambiguous product areas. Experience with platforms, APIs, and extensibility.
- Know where LLM-based tools shine and where they break down, from substantial hands-on work with agent systems, code generation, or programmable interfaces.
- Have set the bar for "good" on non-deterministic products, defining the evals, guardrails, and success metrics that keep quality high when outputs vary from run to run, and getting a team to hold to them.
- Have built platforms other product teams ship on. You've treated other teams as your customers, drawn the line between what to build once and what to leave to them, and can point to primitives that outlived the first thing built on top of them.
- Can serve two audiences at once. You've built developer-grade tools and approachable products for marketers, and hold both in view without shortchanging either.
- Enjoy the full craft of building software. You're curious about every part of how products get made and like getting into the details wherever the work needs you, whether that's opening a pull request, leading a user interview, prototyping an idea, writing a query to pin down a metric, or writing a sharp brief.
- Lead through influence rather than authority. You set strategy and bring Engineering, Design, GTM, and leadership along, holding your own with senior stakeholders and moving decisions forward without waiting to be told. You set patterns other teams adopt and mentor as the practice grows.
- Stay curious. building fluency in emerging AI to speed up both your own work and your team's.
OUR CORE BEHAVIORS
- Build lasting customer trust. We build trust by taking action that puts customer trust first.
- Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
- Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
- Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.
BENEFITS
- Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
- Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
- Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
- Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
- Wellness for the whole you. Access to mental health resources, therapy and coaching.
- Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally.
- Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts.
- Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.
Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.
BE YOU, WITH US
At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.
STAY CONNECTED
Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.
PLEASE NOTE:
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered.
To join Webflow, you'll need a valid right to work authorization depending on the country of employment.
If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.
Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.
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ОфисParis; London; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
ГибридPalo Alto; New York; San Francisco; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
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ГибридNew York; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
ГибридleadNew York; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
ОфисUK, London
ГибридParis; London; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
