Role Description
The Risk Manager - Platform Risk reports to the Senior Manager of Risk Management and IT Compliance team within Tech Risk Operations (TRO). This is a first-line of defense risk team responsible for Central Tech business unit risks & Security risks across the company. The Risk Manager - Platform Risk is a people manager role, focused on leading a team of individuals to enable consistent identification of technology-related risks for key Central Tech business unit technology platforms. These technology platforms enable the business to build and run in-house developed applications that support the core of our Business. The Risk Manager - Platform Risk possesses both a strong technical understanding of DevOps IT technology and expertise in various risk domains. These domains include cybersecurity, IT, privacy, regulatory compliance, broader enterprise risks, Trust & Safety, cybersecurity regulatory compliance, and e-commerce fraud. This role involves identifying technology-related risks across core DevOps technology platforms, encompassing both public cloud and on-premise infrastructure. This includes (but is not limited to) public and private cloud platforms, like AWS, GCP, Azure, Kubernetes, Gitlab, CI/CD Tooling, etc. This role also requires embedding secure software development principles and tooling (SAST, DAST, SCA) into BAU development practices, to apply them effectively to DevOps technology platforms. The Risk Manager - Platform Risk is also a subject matter expert leveraging a deep understanding of the enterprise risk discipline combining deep knowledge of theory and organizational practice or expertise across several different disciplines within a function. Effective first-line risk professionals are adaptable individuals who can engage with diverse senior technical stakeholders (Senior Engineering Managers, Product Owners, developers, etc.) This necessitates strong communication skills, technical proficiency, an ability to foster collaboration, incorporate different viewpoints, and steer efforts toward positive business results in managing IT risks and ensuring IT regulatory compliance obligations are met. This position requires strong stakeholder management skills and requires an individual who can convince others who are skeptical or unwilling to accept new concepts, practices and approaches. This position involves extensive collaboration with senior technical stakeholders to ensure the consistent maintenance of existing IT controls across the organization. Success in this role requires exceptional stakeholder management skills, including the ability to build strong relationships, effectively communicate complex information, and persuasively influence individuals and teams, even when faced with resistance to necessary changes and the adoption of new security protocols. The ability to navigate organizational complexities and foster a culture of IT risk management, security awareness and compliance is critical. This role is also a people manager position and is fully responsible for managing a team of individuals and continuously improving the area under their scope. This manager will be responsible for leading and managing a team of internal and/or external resources (e.g. Risk Analysts, Risk Officers, consultants). They are comfortable leading a team to come up with robust, scalable and automated solutions that mitigate key risks while enabling successful business operations across multiple core platforms.
Key Responsibilities and Duties
— Attract, engage, develop, and retain talent to their full potential by fostering a supportive work environment that emphasizes continuous feedback, coaching, and mentorship programs, ensuring comprehensive growth for all crafts.
— Coaching your team on and consistently role model the Booking values on Think Customer First, Own It, Learn Forever, Succeed Together, and Do the Right Thing.
— Drive initiatives effectively involving multiple technical first-line senior stakeholders, re-prioritising tasks when beneficial.
— Formulate and implement tactical plans and objectives within Platform Risk Management that are in alignment with Central Tech business objectives and ensure the achievement of annual goals.
— Establish team priorities, delegate projects, allocate resources, and provide regular communication to management and business partners regarding business performance and project progress.
— Advise first-line stakeholders with specialized knowledge and expertise in IT risk, cybersecurity and regulatory compliance risk.
— Assume responsibility for the identification of technological risks and the formulation of control design proposals.
— Offer guidance on control design that is sustainable and appropriately scaled, ensuring that solutions are commensurate with the complexity of the issues addressed and avoiding unnecessary overengineering.
— Drive business engagement in the Central Tech business unit to provide risk and compliance awareness for teams that have a clear need to manage risks without significantly affecting their development velocity and/or play a key role towards achieving strategic objectives in the company.
— Develop and maintain IT and security policies and procedures for secure software development & collaborate with development teams to integrate secure software development practices and principles into CI/CD pipelines.
— Support senior stakeholders across central tech helping to promote and embed risk and compliance ownership across the business as well as to broaden and expand their knowledge base of both the internal and external risk environment.
— Follow broader ERM strategy defined by R&C and implement it into execution within the first-line of defense (business) and drive continuous improvement of risk assessment methodologies through ongoing collaboration with second-line risk and controls teams, ensuring alignment with practical business objectives.
— Support the team to identify ways to increase their business impact and improve the team’s product(s) and ways of working.
— Liaise with other risk and audit teams (Risk and Controls, Internal Audit, external auditors, etc.) to provide a more in-depth technical risk perspective, as needed.
— Stay current with emerging cyber threats and security best practices in DevOps environments.
Knowledge and Skills
— Strong risk and control or audit/assurance background with a deep understanding of operational and technology risk - L4
— Strong working experience with IT General Controls (ITGCs), especially in fast-paced DevOps environments
— Strong understanding of technology risk management, controls, and compliance, especially for public cloud platforms and DevOps Tooling - L4
— Experience and understanding of applicable regulations such as Sarbanes Oxley, PCI-DSS, GDPR and CCPA - L4
— Familiarity with industry-standard Cybersecurity regulatory frameworks such as NIST, ISO27001 and CIS - L3
— Understanding of cybersecurity risks and data protection principles - L3
— Technical AWS certifications (AWS Certified Solutions Architect, AWS Certified Security) are a plus
— Knowledge of secure software development practices and tooling (SAST, DAST, and SCA tools)
— Ability to cultivate solid relationships with business partners in order to drive the adoption of the risk management culture
— Thorough technical understanding of internal control requirements and design and experience in applying them in various businesses
— Able to split large tasks into logical, manageable and decoupled actions which are managed effectively and delivered on time
— Be flexible and agile in response to the change in business, change in stakeholder expectations and/or change in regulatory/operating environment of B.com
Level of Education: Bachelor/Master
Years of relevant Job Knowledge: Extensive Knowledge (8 - 12 years)
Benefits & Perks
— Headquarters located in one of the most dynamic and cosmopolitan cities in Europe: Amsterdam.
— Contribute to a high‑scale, sophisticated, world‑class product and see the real‑time impact of your work on millions of travelers worldwide.
— Be part of a truly international fast‑paced environment and performance‑driven culture.
— Full relocation support for you and your family to move to Amsterdam.
— We have fine‑tuned this process by successfully relocating hundreds of Technology professionals to Amsterdam in recent years.
— Performance‑based company that offers 29 vacation days, career advancement, and lucrative compensation, including bonuses and stock potential.
— Discount on Booking.com accommodations with the “Booking Deal” including other perks and benefits.
— Company‑sponsored family and social activities to help our employees become integrated with each other and Dutch culture.
— Diverse and creative colleagues from every corner of the world.
— Health, life, and disability insurance*.
— Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave.
— Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country).
— Industry‑leading product discounts for yourself, friends, and family, including automatic Genius Level 3 status and quarterly Booking.com wallet credit.
— Free access to online learning platforms, development and mentorship programs, and a complimentary Headspace membership.
— On‑site meals, coffee, and snacks, including healthy and vegan options, daily*.
— Benefits may vary slightly depending on location and contract type.
ГибридПомогают с релокацией (Нидерланды); Full relocation support for you and your family to move to Amsterdam
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Mexico
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As an Enterprise Account Executive at Harvey, you will drive the growth and success of our AI solutions within the legal and professional services markets. You will be responsible for establishing and growing relationships with law firms and other large enterprise clients, understanding their unique challenges, and presenting AI solutions that streamline their processes and boost productivity. Your ability to articulate the value of Harvey's products, coupled with your passion for groundbreaking AI technologies, will help us shape the future of knowledge work.
WHAT YOU'LL DO
- Develop and manage a named account list and be responsible for the full sales cycle from prospecting to contracting to onboarding, launching, and growing new users.
- Achieve and exceed revenue targets and other key sales metrics.
- Effectively work cross-functionally across the organization to shape Harvey’s solutions to meet customer needs. Collaborate closely with the engineering and product teams to stay updated on the latest AI advancements and tailor solutions to meet client goals.
- Build strong, long-term relationships with key decision-makers and stakeholders, understanding their pain points and aligning Harvey's solutions with their needs.
- Conduct product demonstrations and presentations, showcasing the power of Harvey's AI systems to prospects and clients.
- Develop our sales playbook to enable scaling, documenting learnings that can be applied across accounts.
WHAT YOU HAVE
- Proven track record of selling complex software solutions to enterprise clients, with the ability to successfully execute on a consultative, solutions-oriented, value-based selling methodology.
- Ability to lead a complex, multi-threaded sale with stakeholders ranging from executives across various functions to day-to-day product users – especially the ability to convey technical concepts to non-technical audiences.
- Demonstrated passion for Harvey’s mission and strong understanding of AI and its potential applications in knowledge work and interest in the legal profession and helping lawyers do their jobs better and more efficiently.
- Excited about prospecting, and capable of independently leading a sales cycle from start to finish.
- Team player who can collaborate effectively across internal functions (product, legal, etc.) to achieve common goals.
- Energized by contributing to the development of our sales processes and team-driven sales culture, refining the value proposition of our solutions and creating sales resources to drive our success.
LOCATION
Mexico City
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-JB1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: 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: United States
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
JOB SUMMARY
As a Support Automation Engineer on the Post Sales Systems team, you will design, build, and maintain the automation and AI systems that power ClickUp's post-sales support organization. You'll be responsible for translating business workflows in Zendesk and related CX platforms into scalable, intelligent automations that reduce manual effort, improve customer experience, and free up our support team to focus on high-value interactions.
This role sits at the intersection of engineering rigor and customer empathy. You'll partner closely with the Support and Success organizations, GTM Systems Leadership, and cross-functional stakeholders to automate away toil, surface insights through AI, and build systems that adapt to how support teams actually work. The kind of person who thrives here moves fast, takes full ownership of what they build, and is genuinely excited about applying AI to real operational problems. This role is a direct contributor to GTMSOE's broader mission of operational excellence across the GTM org.
KEY RESPONSIBILITIES
AI-POWERED AUTOMATION DESIGN & DEVELOPMENT
- Design and build automations in Zendesk that reduce repetitive support work: ticket routing, field population, note summarization, escalation logic, and customer outreach workflows.
- Develop AI-driven workflows using Zendesk AI, custom LLM integrations, and ClickUp Super Agents to automate tasks like ticket summarization, sentiment analysis, knowledge base matching, and response suggestions.
- Architect low-code/no-code automation solutions using Workato, Zapier, and similar integration platforms to connect Zendesk with Salesforce, ClickUp, Maven chatbot, and other tools.
- Own the full lifecycle of an automation: discovery, design, build, testing, deployment, and ongoing optimization based on usage and feedback.
CX SYSTEMS INTEGRATION & DATA FLOW
- Ensure seamless data flow between Zendesk, Salesforce, ClickUp, Chili Piper, Maven AGI chatbot, and other tools in the support tech stack.
- Design integration patterns that keep data clean, up-to-date, and accessible to downstream systems without creating maintenance nightmares.
- Build and maintain reporting dashboards and data pipelines that surface support health, automation impact, and team productivity metrics.
- Partner with the Support org to identify pain points, bottlenecks, and opportunities where AI and automation can deliver measurable value.
AI CAPABILITY EXPANSION
- Experiment with emerging AI/LLM capabilities (agents, RAG, fine-tuning) and determine which are production-ready for support workflows.
- Build reusable AI templates and patterns that other CX Systems team members can leverage, promoting consistency and reducing duplication.
- Collaborate with the broader GTM Systems Engineering team to share learnings and align on AI strategy across post-sales, sales, and finance domains.
- Log AI/automation work in the team's AI Excellence registry to promote transparency and cross-team learning.
RELIABILITY & CONTINUOUS IMPROVEMENT
- Monitor automation health, error rates, and SLAs; proactively identify and resolve issues before they impact support operations.
- Gather feedback from support teams and stakeholders; iterate on existing automations to improve accuracy, reduce false positives, and adapt to evolving business needs.
- Maintain documentation and runbooks so that support and CX teams understand how automations work and when to escalate issues.
- Help simplify and modernize existing architecture in Zendesk and connecting systems to improve long-term maintainability.
CROSS-FUNCTIONAL COLLABORATION
- Work closely with GTM Support teammates and leadership on intake, prioritization, and task execution.
- Partner with the Support and Success organizations and key stakeholders to translate business requirements into technical specifications.
- Contribute to the GTM Systems Engineering operating model: maintain task hygiene and communicate proactively on large initiatives.
QUALIFICATIONS
EXPERIENCE
- 3–5+ years in systems administration, business systems engineering, or customer support platform work.
- Demonstrated experience building automations or integrations that have shipped to production and delivered measurable business value.
- Hands-on experience with CX platforms, particularly Zendesk at an admin level or higher.
- Experience in a high-velocity, collaborative environment where you wear multiple hats and adapt quickly.
- Optional but valued: experience with ClickUp, Maven/chatbots, GTM systems, or support-focused SaaS operations.
SKILLS & COMPETENCIES
Technical
- Zendesk expertise: Hands-on experience with automations, triggers, business rules, and configuration (admin-level proficiency or higher).
- Integration & API work: Comfortable with REST APIs, webhooks, and integration platforms (Retool, Workato, Zapier, or similar low-code tools).
- AI & LLMs: Familiarity with prompt engineering, LLM APIs (OpenAI, Claude, etc.), MCP, and how to safely integrate AI into production workflows. You don't need to be an ML engineer, but you should understand when and how to apply AI to solve real problems.
- Data & scripting: Comfortable working with JSON, SQL, or light scripting (Python, JavaScript) to build data pipelines and transform data between systems.
- Salesforce integration: Understanding of Zendesk-to-Salesforce sync workflows, object relationships, and common integration patterns.
Operational & Mindset
- Ownership: You take full responsibility for the systems you build—reliability, documentation, and continuous improvement included. You don't hand off and walk away.
- Velocity: You move fast, iterate, and ship. You embrace "done is better than perfect" when appropriate, but never at the expense of reliability or customer trust.
- AI & Automation mindset: You're excited about LLMs and AI agents, not intimidated. You experiment, learn quickly, and know when to apply new tools and when to stick with what works.
- Collaboration: You're a skilled communicator who can translate between technical and non-technical stakeholders. You ask clarifying questions, challenge assumptions respectfully, and build trust with the teams you support.
- Growth: You're customer-centric and measure success not just by automation coverage, but by the real impact on support efficiency and quality.
WHAT YOU'LL WORK WITH
- Zendesk: Primary CX platform—automations, triggers, custom fields, custom apps, and reporting.
- ClickUp Super Agents: AI-powered automation and task orchestration within the ClickUp ecosystem.
- Salesforce: Zendesk-to-Salesforce integration, data sync, field mapping, and cross-system workflows.
- Integration stack: Workato, Zapier, and possibly Retool for custom apps and workflow orchestration.
- Maven chatbot & AI tools: In-app support, ticket automation, and AI-driven customer interactions.
- Data & reporting: ClickUp, Salesforce dashboards, and custom data pipelines for support metrics and insights.
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
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 Fraud Prevention team protects Anthropic's payment and monetization surfaces from financial abuse — keeping fraud losses, dispute rates, and network monitoring exposure in check while preserving a smooth experience for legitimate customers. As a software engineer on this team, you will build the systems that make risk decisions in real time, manage the dispute and chargeback lifecycle, and detect monetization abuse across subscriptions, in-app purchases, and promotions. The ideal candidate can see things from attackers' perspectives, anticipate their responses to countermeasures, and never loses sight of the fact that a false positive here is a paying customer.
Payments fraud is more externally coupled than most trust and safety work — you'll collaborate closely with finance, support, and legal teams internally, and with payment processors and platform partners externally.
Responsibilities:
Design and build real-time risk decisioning that scores transactions at authorization time, balancing fraud loss, approval rates, and latency constraints
Build tooling and automation for the dispute and chargeback lifecycle, from review queues to evidence collection and loss reporting
Engineer fraud signals at scale — device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage — and detect monetization abuse across subscriptions, trials, promotions, and in-app purchases
Own a portfolio of metrics — loss rate, dispute rate, authorization approval impact, and false-positive rate — rather than optimizing any single number
Lead investigations into emerging fraud patterns, building multi-layered defenses designed for attacker adaptation rather than point-in-time rules
Work cross-functionally with finance, support, legal, and data science, and with external payment processors and platform partners
Minimum Qualifications:
Proficiency in Python, SQL, and data analysis tools
Experience building or operating fraud, risk, or abuse detection systems in production
Strong communication skills and ability to explain complex technical tradeoffs to non-technical stakeholders
Preferred Qualifications:
8+ years of industry software engineering experience, with a focus on payments fraud or risk
Fluency with payments rails: card networks, payment service providers (e.g., Stripe, Adyen), in-app purchase platforms (Apple, Google), refund flows, and the chargeback and dispute lifecycle
Direct experience combating fraud typologies such as card testing, stolen-card monetization, refund and chargeback abuse, subscription and trial abuse, promotional abuse, and friendly fraud
Understanding of fraud loss accounting — fraud loss vs. dispute fees vs. card network monitoring programs (e.g., VDMP, i VFMP, Mastercard ECP) — and why chargeback rate thresholds carry existential stakes
Experience building hybrid rules-and-ML risk systems: real-time scoring at authorization plus post-authorization review workflows
Experience at a marketplace or subscription business, or on a processor-side or issuer-side risk team
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote (Peru)
At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo.
We're looking for an outstanding Senior Databricks Data Engineer to join our growing data practice — someone who builds the data and AI foundations that digital products and intelligent experiences run on. This is a senior-level position with the opportunity to work remotely in
Peru.
Who you are
You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep, production-grade expertise across the Databricks platform and know how to connect platform capabilities to real business outcomes.
You thrive in ambiguity and can quickly assess a client's data landscape to recommend and implement the right solutions. You understand that in consulting, your Databricks depth is most valuable when it connects platform capabilities to the products and experiences clients actually use — and you're as comfortable in a product design conversation as you are building a DLT pipeline.
You excel at translating complex data challenges into clear technical requirements and can confidently navigate conversations with everyone from data scientists to executives. Your engineering principles are mature and grounded in real-world experience across various industries and scales.
You have an interest in and a curiosity about data platforms and the latest advances in data technology.
What you will be doing
Design and build production data pipelines using Lakeflow Declarative Pipelines, Autoloader, and Structured Streaming, with end-to-end ownership of ingestion, transformation, data quality expectations, and CI/CD deployment via Declarative Automation Bundles.
Architect and implement Lakehouse solutions on Databricks — medallion architecture, Delta Lake, Unity Catalog — tailored to the client's analytics, AI, and application needs.
Build and maintain Databricks transformation layers — DLT pipelines, PySpark notebooks, and dbt — with data quality constraints and SLAs baked in.
Design and maintain the data and AI foundations — Unity Catalog, Feature Store, MLflow, and Model Serving — that power production ML, agent workflows, and AI-enabled digital products.
Collaborate with product and backend engineers to design data models, APIs, and application data contracts — ensuring the platform serves the product, not just the warehouse.
Consult with clients to understand their data challenges, develop data strategies, and implement sustainable solutions.
Adapt your approach based on project needs — sometimes leading data architecture discussions with clients, other times supporting internal teams with specialized data expertise.
Work within multi-cloud environments — primarily AWS and Azure — anchoring data platform recommendations around Databricks where it fits the client's architecture and goals.
Champion data governance through Unity Catalog — access control, lineage, data quality policies, and compliance — as a first-class part of every engagement, not an afterthought.
Design data-to-application architectures — including Lakebase-backed services and Databricks Apps — that connect governed data to AI workflows, digital products, and user-facing experiences.
Help build Livefront's Databricks practice — contributing to accelerators, internal enablement, certification goals, and Databricks partner go-to-market materials alongside delivery work.
Why you should apply
You want to work with passionate and talented people who are always looking for ways to make things better.
You desire a work environment where respect, mutual trust, and egoless collaboration are paramount.
You want colleagues who take their work seriously but not themselves, and who know how to let loose and have a good time.
You like being part of a team with a reputation for excellence that gives back to the community by educating, mentoring, and sponsoring.
You want to work on products and accounts that have outsized impact and reach.
You believe in sweating the details, giving a damn about quality, and taking pride in going the extra mile.
You want to help build a data practice specialization from the ground up — shaping how we go to market with Databricks, what we build as accelerators, and what it means to do this kind of work at a digital product company.
What you bring to the table
5-8+ years of data engineering experience with at least 4 years in production Databricks environments, preferably in a consulting or client delivery context.
Solid working knowledge of AWS and Azure cloud services relevant to Databricks deployments — storage, networking, IAM, and compute — with GCP familiarity a plus.
Deep, production-grade Databricks expertise: Lakeflow Declarative Pipelines, Autoloader, Structured Streaming, Lakeflow Jobs, Unity Catalog (including fine-grained access control and lineage) — demonstrated through shipped production workloads, not prototypes.
Proven experience designing Lakehouse architectures — medallion patterns, Delta Lake table design, partitioning, Z-ordering, and query optimization — at production scale.
Hands-on experience with data pipeline testing, observability, and CI/CD for data — including unit testing, data quality frameworks, and version-controlled deployments via Git and Declarative Automation Bundles.
Strong proficiency in SQL and Python, with the ability to write clean, performant, and maintainable code.
Understanding of data modeling, schema design, and query optimization.
Excellent communication skills with the ability to explain complex data concepts to both technical and non-technical stakeholders.
Strong problem-solving skills with the ability to navigate ambiguous requirements and deliver pragmatic solutions.
Above-average discipline and personal organization skills.
Obvious comfort with critique and peer review in the context of an iterative development process.
A demonstrated hunger for personal and professional growth.
A self-evident love and care for the craft of data engineering.
Bonus points if you…
Have worked with real-time streaming technologies (Kafka, Kinesis, etc.).
Have hands-on experience with alternative cloud data platforms — useful context for migrations and competitive assessments, though Databricks is our primary platform focus.
Have experience in healthcare or fintech domains.
Have hands-on experience with MLOps or LLMOps on Databricks — MLflow experiment tracking, model registry, Model Serving endpoints, or Vector Search for RAG pipelines.
Have experience with Java, Go, or Scala.
Have strong illustration skills for technical diagramming and data architecture documentation.
Speak, write, and/or educate publicly about data engineering topics.
Have contributed to open-source data projects.
Hold or are actively pursuing a Databricks certification (Data Engineer Associate or Professional, or Apache Spark Developer) — we treat these as meaningful signals of platform depth, and they directly support our Databricks partner growth goals.
Have experience with Databricks Apps, or Lakebase — early familiarity with where the Databricks platform is heading is a strong differentiator.
What to expect
When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn, etc).
Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete.
Additional information
We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications. We encourage candidates from all backgrounds to apply and consider all qualified applicants. Don't worry, every application will be reviewed by a human.
Location: Zurich
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 will you do
• Research and develop novel methods to push the frontier of large language models
• Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)
• Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale
• Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact
What We're Looking For
• You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)
• You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)
• You have high engineering competence. This means being able to design complex software and make it usable in production
• You are a self-starter, autonomous and a team player
Now, it would be ideal if
• You have hands-on experience with training large transformer models in a distributed fashion
• You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment
• You have a strong publication record in a relevant scientific domain
Note that this is not an exhaustive or necessary list of requirements. Please consider applying if you believe you have the skills to contribute to Mistral's mission. We value profile and experience diversity.
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're hiring a Senior or Staff Software Engineer to join our Data Engineering team based in London.
As the Data Platform Team, we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.
We’re looking for experienced Engineers to help build our data platform from the ground up. You’ll have the opportunity to define its architecture, make key decisions, and shape how we handle and process petabyte-scale data in the near future.
WHAT YOU'LL DO
- Build the Capability Factory - an internal platform designed for everyone from software engineers to non-technical operators, enabling the entire organization to teach HMND robots new skills at scale, from raw data all the way to deployed capabilities.
- Curate, preprocess, and manage large-scale datasets for humanoid robot training - a corpus of robot telemetry growing toward petabyte scale.
- Design and operate highly scalable data pipelines and the compute infrastructure that powers them, ensuring reliability and throughput as data volume and team demands grow.
- Ensure the quality, accuracy, and consistency of training data across multiple concurrent projects and robot platforms.
- Collaborate with machine learning teams to shape the Capability Factory, streamline MLOps, and build the evaluation workflows that close the loop between training runs and real-world robot performance.
- Build data warehouse solutions and BI dashboards that give stakeholders across the organization clear visibility into data collection, model progress, and operational health.
- Establish and uphold best practices for data management - versioning, access control, security, and compliance.
WHAT WE'RE LOOKING FOR
- 5+ years of software engineering experience, with a track record of owning and delivering complex systems end-to-end, not just contributing to them.
- Strong backend engineering - designing and operating production-grade APIs and services: clean data modeling, reliable error handling, performance under load.
- Data engineering at PB+ scale - building and maintaining pipelines that move, transform, and validate large volumes of data reliably; understanding of batch and streaming processing patterns, data quality, and schema evolution.
- Workflow orchestration at scale - designing and operating multi-step automated pipelines with retries, observability, and graceful failure handling.
- Distributed systems fundamentals - you understand how things break at scale: eventual consistency, idempotency, backpressure, job scheduling, and failure modes in distributed compute and storage.
- Cloud infrastructure fluency - you have shipped and operated real systems on a major cloud provider; you think about cost, reliability, and security as first-class concerns, not afterthoughts.
- Container orchestration - deploying and operating workloads on Kubernetes at a level where you can debug scheduling issues, design resource allocation, and reason about cluster health without guidance.
- Full-stack range - comfortable building both the backend and the frontend of an internal product; you can own a feature from database schema to UI without handing off.
- Production ownership mindset - you've been on-call, triaged incidents under pressure, and improved systems after postmortems. You take reliability personally.
Nice to Have
- ML infrastructure or MLOps experience - understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you've worked alongside or directly supported ML researchers.
- Distributed compute frameworks - experience with large-scale parallel data processing, whether for data transformation, model training, or evaluation.
- Domain knowledge in robotics or embodied AI - familiarity with robot data formats, sensor telemetry, or the sim-to-real evaluation loop is a significant head start.
- BI and data warehouse experience - building data models and dashboards that translate raw operational data into decisions for non-technical stakeholders.
- Dual-cloud or multi-cloud storage - experience reasoning about cost, latency, and consistency tradeoffs across storage providers.
- Frontend product sense - beyond just shipping features, you have opinions about what makes an internal tool actually usable by non-engineers.
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: Seoul
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.
About The Job
We are seeking a senior technical science and business leader to lead our rapidly expanding Applied Science team. You will drive innovative research and collaborate with clients on the most complex research projects, using real-world data to solve real problems.
You will lead the development of SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that move the needle. Our team is made of world-class researchers, engineers, product builders, and ex-founders who love tackling the most complex real world problems in the industry.
As the leader of Applied Science for Mistral, you will engage C-suite stakeholders from major enterprises, evangelizing and articulating the value proposition of Mistral in the local market. You will build a strong team, and a lasting team culture, to create a powerful talent flywheel.
WHAT YOU WILL DO
- Lead the technical execution of high-stakes frontier science projects.
- Leading teams and strategic initiatives in the Applied Science team, defining team culture
- Be the point of contact internally and externally for technical Applied Science projects in the local region. This includes: leading the pre- and post-sales technical scoping, running events, engaging executive stakeholders, and ensuring projects align with the long-term vision of Applied Science at Mistral.
- Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs.
- Work across a diverse set of complex real world problems such as robotics, engineering, finance, cybersecurity, physics and more.
- Generate and curate data for pre-training and post-training, working on evaluations and making sure the model's performance beats customer expectations and frontier benchmarks.
- Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
ABOUT YOU
- You are fluent in English and Korean, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences.
- You have experience leading a technical AI, science or engineering team. Balancing technical IC work with team leadership and stakeholder management.
- Expert with PyTorch or JAX.
- Not afraid of contributing to a big codebase; finds their way around independently with little guidance.
- Writes clean, readable, high-performance, fault-tolerant Python code.
- Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence and high autonomy.
- Low-ego, collaborative and eager to learn.
- Track record of success through personal projects, professional projects or academia.
NICE TO HAVE
- Ex-founder or builder
- Loves to build a dynamic, hard-working and exciting team culture
- PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome.
- Research experience in agents, multimodal models, world models, robotics, diffusion models, cybersecurity, 3D understanding/generation, or time-series analysis.
- Experience working on large code bases or large machine learning models at scale.
- Contributions to a large open-source or industry codebase.
- Publications in top academic journals or conferences.
- Enjoys improving existing code: typing, tests, CI pipelines.
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: Seoul
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.
About The Job
Mistral AI is seeking Applied Scientists and Research Engineers to drive innovative research and collaborate with clients on complex research projects.
You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle.
What you will do
• Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don’t panic when you see OOM errors or when NCCL feels like not wanting to talk.
• Generate and curate data for pre-training and post-training, working on evaluations and making sure the model’s performance beats expectations.
• Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
• Collaborate with cross-functional teams to tackle complex use cases using agents and RAG pipelines.
• Manage research projects and communications with client research teams.
About you
• You are fluent in English and Korean, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences.
• You’re an expert with PyTorch or JAX.
• You’re not afraid of contributing to a big codebase and can find yourself around independently with little guidance.
• You write clean, readable, high-performance, fault-tolerant Python code.
• You don’t need roadmaps: you just do. You don’t need a manager: you just ship.
• Low-ego, collaborative and eager to learn.
• You have a track record of success through personal projects, professional projects or in academia.
It would be great if you
• Hold a PhD / master in a relevant field (e.g., Mathematics, Physics, Machine Learning), but if you’re an exceptional candidate from a different background, you should apply.
• Can bring a variety of research experience (agents, multi-modality, robotics, diffusion, time-series).
• Have contributed to a large codebase used by many (open source or in the industry).
• Have a track record of publications in top academic journals or conferences.
• Love improving existing code by fixing typing issues, adding tests and improving CI pipelines.
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: Ireland, Dublin
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Role Overview
The Director, IT Core Infrastructure is a senior technology leader responsible for the strategy, transformation, delivery, and operations of SIE’s global core infrastructure capabilities. The role leads a broad, globally distributed organization spanning internal networks and client access, core network connectivity across physical sites, cloud and on-premise infrastructure, and enterprise endpoint management across mobile, Linux, Windows, and Mac platforms.
Reporting to the Senior Director of IT, this role leads through multiple managers and is accountable for the performance, security, scalability, reliability, resilience, and user experience of Core Infrastructure services. The Director will translate enterprise strategy into clear priorities, investment decisions, and multi-year roadmaps while balancing transformation, operational performance, technical debt, risk, and cost.
This leader will drive the evolution of Core Infrastructure toward highly automated, software defined, self-service, and increasingly autonomous operating models. The role requires the technical credibility to lead across infrastructure disciplines and the breadth to shape technology strategy, lead transformation, influence across organizational boundaries, and take on expanded responsibilities as business needs evolve.
What you'll be doing:
Functional Leadership & Accountability
Lead the Core Infrastructure organization across multiple teams and disciplines, providing clear direction, priorities, and accountability for outcomes.
Hold end-to-end accountability for service performance, including availability, reliability, security, resilience, and user experience.
Set priorities and make decisions across the Core Infrastructure portfolio, balancing operational needs, transformation, risk, technical debt, and investment.
Establish
clear accountability across teams while empowering leaders to independently own their services and outcomes.
Infrastructure Strategy & Transformation
Define and execute a Core Infrastructure strategy and multi-year roadmap aligned with enterprise technology strategy and business priorities.
Lead the evolution toward highly automated, software defined, self-service, and increasingly autonomous infrastructure services.
Drive adoption of
infrastructure
as code, observability, AI enabled operations, and modern engineering practices to improve reliability, scalability, speed, and efficiency.
Simplify and standardize technology and service models, reducing complexity and improving the ability to
operate
globally at scale.
Partner with Information Security, Service & Support, and other technology organizations to develop integrated solutions and influence broader enterprise technology strategy.
Service Delivery & Operational Excellence
Establish strong operational practices across service management, incident response, change management, lifecycle management, capacity, observability, and resilience.
Ensure infrastructure services meet performance, security, availability, resilience, business continuity, and regulatory requirements.
Drive measurable improvements in reliability, employee experience, engineering productivity, automation, cost efficiency, and speed of delivery.
Use operational data and service performance measures to
identify
systemic issues, prioritize improvements, guide investment, and reduce manual operational effort.
Enterprise & Cross Functional Leadership
Serve as a trusted advisor to senior technology and business leaders on infrastructure strategy, investments, risks, and opportunities.
Lead complex enterprise initiatives that span multiple technology organizations and require alignment across priorities, ownership boundaries, and stakeholders.
Represent Core Infrastructure in enterprise planning, architecture, investment, risk, and transformation discussions, bringing a perspective beyond the immediate needs of the function.
Communicate complex technology decisions and
tradeoffs clearly
to executive audiences and build strong partnerships across technology and business organizations.
People Leadership & Organizational Development
Lead, coach, and develop a global organization of managers, architects, and senior engineers.
Build a high performing leadership team with clear accountability, strong ownership, and the ability to
operate
independently.
Develop leaders capable of owning major technology domains and enterprise outcomes, creating organizational depth and succession readiness.
Continually evolve organizational structure, skills, roles, and sourcing models to support changing business and technology needs.
Build a culture centered on engineering excellence, accountability, collaboration, continuous improvement, and measurable outcomes.
Financial, Portfolio & Resource Management
Own financial planning, forecasting, investment prioritization, and resource allocation across the Core Infrastructure portfolio.
Make deliberate investment tradeoffs across transformation, lifecycle, technical debt, resilience, security, operational needs, and emerging capabilities.
Drive sustainable cost optimization and develop clear business cases for significant technology investments.
Manage strategic vendors, partners, and sourcing models to ensure performance, value, innovation, and alignment with SIE priorities.
Governance, Risk & Continuous Improvement
Establish appropriate governance, standards, and policies across Core Infrastructure while avoiding unnecessary process and operational overhead.
Identify
, communicate, and mitigate risks related to availability, security, scalability, lifecycle, capacity, and resilience.
Establish
and monitor meaningful service level
objectives
, availability targets, operational health measures, and business outcome metrics.
Use data to drive accountability, investment decisions, and continuous improvement.
Challenge existing processes and operating models where they create unnecessary complexity or limit speed, automation, or scalability.
Contribute to the continued evolution of the broader IT operating model and technology organization.
What we're looking for:
12+ years of experience across infrastructure engineering, enterprise technology, or related technology disciplines.
5+ years of experience managing managers and leading large, globally distributed technology teams.
Broad understanding of enterprise infrastructure and technology services, with deep
expertise
in one or more relevant domains and the ability to lead effectively across disciplines.
Proven experience
operating
and evolving large scale, business critical enterprise technology environments.
Demonstrated
experience leading significant technology, organizational, or operating model transformation across multiple teams or domains.
Experience developing managers and senior technical leaders and building leadership depth within an organization.
Demonstrated
ability to influence senior stakeholders and lead initiatives beyond direct organizational ownership in complex, matrixed organizations.
Experience building and executing multi-year strategies, roadmaps, investment plans, and operating models.
Strong financial and commercial acumen, including investment prioritization, vendor strategy, and cost optimization.
Ability to translate complex technology topics into clear business implications, decisions, and outcomes for executive audiences.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click
here
to learn more.
The estimated base pay range for this role is listed below.
Base: €124,200 - €186,200 + Bonus & Benefits.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Paris; Amsterdam; Marseille; Munich; 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 Deployment Strategist, you will drive the adoption and deployment of Mistral’s AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes.
You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution.
This role is ideal for those who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact.
What We're Looking For
Strategic Discovery & Vision Setting
• Lead executive-level workshops with CISOs and security teams to identify cybersecurity challenges and opportunities where Mistral's AI can drive step-change improvements (e.g., threat intelligence, SOC automation, vulnerability management, incident response).
• Co-create AI-powered cybersecurity adoption roadmaps with customers, articulating the "art of the possible" and a clear path to value in securing their digital assets.
AI Solution Design & Deployment for Cyber
• Architect end-to-end AI solutions tailored to cybersecurity use cases, integrating Mistral's models and platform into customer security workflows, SOC environments, and technical infrastructure.
• Partner with the Applied AI team to design, prototype, and deploy AI-driven cybersecurity solutions in production (e.g., automated threat detection, intelligent alert triage, security log analysis, phishing detection, compliance automation).
• Own the execution of pilot projects and proofs-of-value within cybersecurity contexts, demonstrating the potential of our technology and paving the way for full-scale deployment.
• Ensure deployed solutions meet security, privacy, and regulatory standards (e.g., NIS2, DORA, ISO 27001, SecNumCloud).
Value Realization & Customer Success
• Serve as a trusted advisor to cybersecurity customers, guiding their AI strategy for security operations and ensuring they maximize the value of their investment in Mistral.
• Monitor key performance indicators (KPIs) tied to security outcomes (e.g., mean time to detect, mean time to respond, false positive reduction, analyst productivity).
• Proactively identify expansion opportunities within accounts, building on initial cybersecurity successes to drive long-term partnerships across broader security and defense use cases.
Cross-Functional Collaboration
• Act as the bridge between cybersecurity customers and Mistral's internal teams, synthesizing domain-specific feedback to influence product and research roadmaps for security-oriented features.
• Develop reusable assets, best practices, and playbooks specific to cybersecurity deployments to scale go-to-market efforts and ensure consistent delivery excellence.
• Stay current on the evolving threat landscape, emerging cyber regulations, and AI-for-security trends to maintain credibility and thought leadership.
• Travel (~30-60%) to foster deep client relationships and support on-site deployment, primarily within France and Europe.
About you
• 6+ years in a client-facing strategic and technical role within the cybersecurity or defense sector (e.g., cybersecurity consulting, security engineering, SOC operations, or technical sales in cyber).
• You hold a degree in a relevant scientific field (e.g., Computer Science, Cybersecurity, Data Science, Engineering, etc.).
• Strong cybersecurity domain expertise : solid understanding of security operations (SOC, SIEM, SOAR), threat intelligence, incident response, vulnerability management, and/or compliance frameworks.
• Foundational knowledge of AI/ML/Data Science, with the credibility to advise both security-focused and non-technical audiences on AI-driven security solutions.
• Hands-on experience building and deploying AI or data-driven applications (Python) to demonstrate value in security contexts.
• Familiarity with French and European cybersecurity regulations and frameworks (e.g., ANSSI guidelines, NIS2, DORA, SecNumCloud, ISO 27001).
• Strong business acumen and problem-solving skills, with the ability to structure ambiguous security challenges into actionable solutions.
• Executive presence and communication skills to influence senior security stakeholders (CISO, VP Security, C-level).
• Resilient, results-driven, and comfortable leading through influence in a collaborative environment.
• Fluent in English.
• Experience with sales qualification frameworks (e.g., MEDDPICC) and value-based selling is a plus.
• Prior experience with defense or sovereign cloud environments is a plus.
Why This Role Matters
You will play a pivotal role in shaping how enterprises adopt and deploy AI, ensuring Mistral’s solutions deliver measurable impact. By partnering with the Applied AI team, you’ll help turn strategic visions into production-ready solutions, making Mistral an indispensable partner for our customers.
Hiring Process
• Talent Acquisition screening call
• 30min Hiring Manager Interview
• 45min Business Acumen Interview
• 60min Technical Deep Dive on LLMs
• Panel (Home Prep & Restitution)
• 30min Value Talk
• Reference check
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.
San Francisco, CA | New York City, NY | Washington, DC
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