In this role, you will work cross-functionally with Engineering, Security, IT, DevOps, and Finance to ensure the organisation meets SOX 404 compliance requirements in a rapidly scaling, technology-driven environment.

This is a unique opportunity to build IT SOX controls at an AI-first company, leveraging cutting-edge AI technology to create innovative, automated, and scalable compliance solutions.

You will help define how AI can transform traditional SOX processes,from continuous monitoring to intelligent risk assessment,while maintaining the rigor required for public company compliance.

As the Head of IT SOX, you will own SOX IT planning, scoping, testing, remediation, and reporting activities. You'll work directly with technical partners to design and implement scalable controls, oversee documentation, and manage communication with external auditors.

This role reports to the Head of Internal Audit and plays a critical part in strengthening internal control maturity as the company scales through pre-IPO readiness and longer term as a public company.

Responsibilities:

SOX IT Program Leadership

• Lead and manage the organisation's end-to-end IT SOX compliance program

• Own SOX IT planning, scoping, testing, remediation, and reporting activities

• Build scalable, automated, and sustainable controls to support growth through pre-IPO and post-IPO readiness

• Develop and maintain the SOX IT compliance roadmap aligned with organisational growth

• Pioneer the use of AI and automation technologies to enhance control effectiveness, continuous monitoring, and risk detection

• Drive IT controls rationalisation initiatives to optimise the control environment and increase reliance on IT automated controls (ITACs)

ITGC and Application Controls

• Design, implement, and monitor IT General Controls (ITGCs) across critical systems

• Evaluate and test application controls and IT automated controls (ITACs) to ensure proper functionality and compliance

• Conduct system and process risk assessments to identify control gaps and remediation needs

• Oversee control documentation and ensure audit-ready evidence is maintained

• Assess and monitor Systems Development Life Cycle (SDLC) controls for new system implementations and changes

Cross-Functional Partnership

• Partner with Engineering, Security, IT, DevOps, and Finance teams to implement scalable controls

• Work directly with technical partners to design controls that align with business operations

• Collaborate with process owners to identify control improvements and automation opportunities

• Support SEC cybersecurity disclosure requirements and ongoing monitoring of cyber risks

External Audit Management

• Serve as the primary point of contact for external auditors on IT SOX matters

• Manage audit requests, coordinate testing schedules, and facilitate audit walkthroughs

• Track and report on IT SOX compliance status to leadership, the Board, and Audit Committee

If you have 10+ years of hands-on IT audit and SOX compliance experience, preferably in both Big 4 and in-house internal audit/SOX leadership roles at a fast-paced technology company, you may be a good fit for this role.

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Responsibilities:

• Develop and execute a product strategy focused on driving Claude Platform growth metrics such as acquisition, activation, monetization
• Lead the ideation, development, and launch of growth features across our API product - onboarding, console, docs, billing, and self-serve upgrade paths
• Analyze product metrics and user feedback to identify opportunities and optimize performance
• Collaborate with engineering, design, developer relations, and marketing teams to deliver high-impact growth initiatives
• Conduct user research to understand customer needs and pain points
• Define and track key performance indicators (KPIs) for API growth
• Balance rapid iteration with our commitment to AI safety and ethics

Qualifications:

• 6+ years of product management experience, majority in growth focused roles
• Experience driving growth for API, developer platform, or technical / usage-based products
• Strong analytical skills, and experience with A/B testing and funnel optimization
• Excellent communication and stakeholder management skills
• Ability to thrive in a fast-paced, ambiguous environment
• Passion for AI technology and its potential impact on society
• Technical background or ability to work effectively with engineering teams
• Founder experience is a plus

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.

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Location: Dublin, Ireland

Department: Sales

Job Description:

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better.

Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.

Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service.

Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.

What's the opportunity?

Intercom's Global Sales Organization is rapidly evolving, and the GTM Enablement team is expanding to support. In this critical new role, you will solve the "Last Mile" gap in technical readiness, serving as the bridge between R&D, Product, and our customer-facing Solutions teams.

As the Senior Product Enablement Manager (Solutions), you will act as the single-threaded owner of the technical education strategy for our Solutions organization (CSMs, SEs, and Professional Services).

You will be responsible for translating our rapid product innovation and AI capabilities into clear, scalable enablement that accelerates adoption and strengthens customer outcomes.

This role is distinct from GTM Strategy; while they architect the commercial plan, you will own the early-stage positioning, solutions readiness, and technical fluency required to ensure our teams understand how our products work and how to deliver them effectively.

What will I be doing?

Reporting to the GTM Enablement leadership, you will partner directly with R&D and Product Management to build and deliver a comprehensive technical enablement program.

Technical Education Strategy & Curriculum - Developing a scalable and repeatable strategy for the technical education of AEs, RMs, CSMs, SEs, and Professional Services.

Creating and maintaining a full suite of technical training materials, including hands-on labs, documentation, and how-to guides.

Leading and facilitating technical training sessions, both live and on-demand, including "Train the Trainer" programs and new product release training.

AI Fluency & Certification - Owning the AI Fluency Program, creating a unified baseline of understanding regarding our AI capabilities (Fin) across the GTM organization.

Building and operationalizing a scalable certification framework that integrates AI learning objectives and continuous upskilling into onboarding and ongoing enablement.

Ensuring every GTM role is fluent in AI and able to guide customers through AI-driven change management and adoption.

Cross-Functional Partnership (R&D Bridge) - Serving as the primary liaison between R&D and the Solutions teams, translating product functionality and architecture into digestible, actionable training content.

Acting as the primary conduit for feedback from the Solutions teams back to R&D and Product, synthesizing field insights to help inform the product roadmap.

What skills do I need?

• 5+ years in Sales Enablement, Solutions Engineering, Technical Training, or a related role in a SaaS organization.

A strong technical aptitude with the ability to bridge R&D and GTM, translating complex technical details into clear guidance for customer-facing teams.

Experience designing and delivering technical curriculum, including hands-on labs, certifications, and self-paced learning interventions.

Deep understanding of the "Solutions" function (CSMs, SEs, Professional Services) and the technical readiness required to drive customer adoption and retention.

The ability to work cross-functionally and build trusted relationships with Product Managers, R&D, and GTM leadership.

Excellent communication and presentation skills, with an intuitive sense for delivering the right technical information at the right time.

Analytical mindset with the ability to measure technical proficiency and report on the effectiveness of certification programs

Bonus skills & attributes

• Experience at a high-growth SaaS company.

Familiarity with AI technology and experience enabling teams on AI-driven products.

Background in instructional design or technical writing.

Experience using tools like Salesforce, Gong, or modern LMS platforms (e.g., Workramp, Highspot).

Experience working in a globally distributed team.

Benefits

We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!

• Competitive salary and equity in a fast-growing start-up

We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen

Regular compensation reviews - we reward great work!

Pension scheme & match up to 4%

Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents

Flexible paid time off policy

Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones

If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too

MacBooks are our standard, but we also offer Windows for certain roles when needed.

#LI-Hybrid

Policies

Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone.

As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications.

We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics.

Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

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In this highly impactful role, you'll guide sophisticated technology transactions across diverse industries and client sizes while providing strategic counsel on the unique legal and regulatory considerations for responsible AI deployment throughout the EMEA region.

Key responsibilities include:

• Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions in EMEA, including enterprise customer contracts
• Partner closely with Sales and Go-to-Market teams to support deal velocity and provide practical legal guidance
• Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements
• Identify and escalate legal risks appropriately while supporting business momentum
• Stay current on legal developments affecting AI technologies
• Foster relationships with external stakeholders, including clients of all sizes, regulatory bodies, and industry partners across the EMEA region

You might be a good fit if you have:

• A law degree and qualification to practice law in a relevant EMEA jurisdiction
• At least 4 years of legal experience, ideally with exposure to commercial contracts, SaaS agreements, or technology transactions
• Clear communication skills and comfort translating legal concepts for non-lawyer audiences
• A low-ego, collaborative approach to working with colleagues and external partners
• Curiosity about AI technology, AI Policy, and commitment to responsible AI development
• Experience navigating multi-stakeholder agreements involving technical and policy considerations
• Comfort in fast-paced environments with shifting priorities and tight deadlines
• A 'doer' attitude,willingness to roll up your sleeves and pitch in where needed

Strong candidates may have:

• In-house experience at leading technology companies with EMEA operations
• Previous experience with AI, machine learning, or other experimental technologies in commercial contexts
• Experience supporting sales teams across diverse client segments in deal negotiations

The annual compensation range for this role is £125,000-£165,000 GBP.

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In this highly impactful role, you'll guide sophisticated technology transactions across diverse industries and client sizes while providing strategic counsel on the unique legal and regulatory considerations for responsible AI deployment throughout the EMEA region.

Responsibilities:

• Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions in EMEA, including enterprise customer contracts

• Partner closely with Sales and Go-to-Market teams to support deal velocity and provide practical legal guidance

• Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements

• Identify and escalate legal risks appropriately while supporting business momentum

• Stay current on legal developments affecting AI technologies

• Foster relationships with external stakeholders, including clients of all sizes, regulatory bodies, and industry partners across the EMEA region

You might be a good fit if you have:

• Law degree and qualification to practice law in a relevant EMEA jurisdiction

• At least 4 years of legal experience, ideally with exposure to commercial contracts, SaaS agreements, or technology transactions

• Clear communication skills and comfort translating legal concepts for non-lawyer audiences

• A low-ego, collaborative approach to working with colleagues and external partners

• Curiosity about AI technology, AI Policy, and commitment to responsible AI development

• Experience navigating multi-stakeholder agreements involving technical and policy considerations

• Comfort in fast-paced environments with shifting priorities and tight deadlines

• A 'doer' attitude,willingness to roll up your sleeves and pitch in where needed

Strong candidates may have:

• In-house experience at leading technology companies with EMEA operations

• Previous experience with AI, machine learning, or other experimental technologies in commercial contexts

• Experience supporting sales teams across diverse client segments in deal negotiations

Role-specific policy: For this role, we expect all staff to be able to work from our Dublin office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.

The annual compensation range for this role is €165,000-€210,000 EUR.

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You will work at the intersection of AI safety and information integrity, combining deep expertise in influence operations with technical investigation skills to identify threat actors who leverage AI to generate synthetic content, amplify narratives, manipulate public discourse, or undermine democratic processes. Your work will directly shape how Anthropic defends against one of the most rapidly evolving categories of AI misuse.

Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.

Responsibilities:

• Detect and investigate attempts to misuse Anthropic's AI systems for influence operations, including AI-generated disinformation, coordinated inauthentic behavior, astroturfing, and narrative manipulation campaigns

• Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover coordinated networks of threat actors conducting influence operations

• Develop influence operation-specific detection capabilities, including abuse signals, behavioral clustering techniques, and detection methodologies tailored to AI-enabled information manipulation

• Create actionable intelligence reports on influence operation TTPs, emerging narrative threats, and threat actor campaigns leveraging AI systems

• Conduct cross-platform threat analysis linking on-platform activity to broader influence campaigns across social media, messaging platforms, and other digital ecosystems

• Monitor and analyze state-sponsored and non-state influence operations that may leverage AI capabilities, with particular focus on operations originating from or targeting geopolitically significant regions

• Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions

• Engage with external stakeholders including government agencies, platform integrity teams, academic researchers, and threat intelligence sharing communities

• Forecast how advances in AI technology,including improved content generation, voice synthesis, and multimodal capabilities,will reshape the influence operations landscape and inform safety-by-design strategies

You may be a good fit if you:

• Have deep subject matter expertise in influence operations, coordinated inauthentic behavior, disinformation, or information warfare

• Have demonstrated proficiency in SQL and Python for data analysis and threat detection

• Have experience tracking and attributing influence campaigns to specific threat actors, including state-sponsored operations

• Have hands-on experience with large language models and understanding of how AI technology could be weaponized for influence operations

• Have experience with open-source intelligence (OSINT) methodologies and tools for investigating online information ecosystems

• Have excellent stakeholder management skills and ability to work with diverse teams including researchers, policy experts, legal teams, and external partners

• Can present analytical work to both technical and non-technical audiences, including government stakeholders and senior leadership

Strong candidates may also have:

• Experience at a major technology platform working on influence operations, platform integrity, or content authenticity

• Background in intelligence analysis, information operations, or counter-disinformation within government or military contexts

• Experience investigating operations linked to Chinese, Russian, Iranian, or other state-sponsored information campaigns

• Fluency in Mandarin Chinese, Russian, Farsi, and/or Arabic (speaking, reading, and writing) combined with a nuanced understanding of the geopolitical landscape and cultural context of the respective regions

• Familiarity with social network analysis techniques and tools for mapping coordinated behavior

• Background in AI safety, machine learning security, or technology abuse investigation

• Experience building and scaling threat detection systems or abuse monitoring programs

• Active Top Secret security clearance

The annual compensation range for this role is $230,000-$290,000 USD.

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Responsibilities:

• Architect and implement cutting-edge Android applications
• Develop novel solutions leveraging AI technologies
• Optimize performance at all levels of the mobile stack
• Champion best practices in mobile development
• Obsessive attention to detail and app experience
• Contribute to backend systems as needed

You might be a good fit if you have:

• 7+ years of Android development experience and proficiency with latest mobile platform capabilities/intricacies, including
• Expertise in Kotlin, Jetpack Compose, Android SDK and the Android ecosystem
• Practical experience with full-stack development and comfort working with backend technologies
• 0 to 1 experience building successful products in early stage environments
• A proven track record of shipping impactful, high-adoption mobile applications
• Experience building applications that utilize modern ML/AI technology
• Excellent communication and mentorship skills
• Thrive in a fast-paced, collaborative environment and and enjoy working closely with cross functional partners and teammates

Strong candidates may have:

• 3D graphics, visual effects, and audio and video streaming on mobile
• A vision for the future of human-machine interaction and a drive to make that vision a reality

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You will work at the intersection of AI safety and CBRN security, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against threat actors who may attempt to leverage our AI technology for developing weapons, synthesizing dangerous compounds, or creating biological harm.

Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.

Responsibilities:

• Detect and investigate attempts to misuse Anthropic's AI systems for developing, enhancing, or disseminating CBRN-E weapons, pathogens, toxins, or other threats to harm people, critical infrastructure, or the environment

• Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover sophisticated CBRN-E threat actors

• Develop CBRN-E-specific detection capabilities, including abuse signals, tracking strategies, and detection methodologies tailored to dual-use research concerns

• Create actionable intelligence reports on CBRN-E attack vectors, vulnerabilities, and threat actor TTPs leveraging AI systems

• Conduct cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported programs

• Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions

• Engage with external stakeholders including government agencies, regulatory bodies, scientific organizations, and biosecurity/chemical security research communities

• Inform safety-by-design strategies by forecasting how threat actors may leverage advances in AI technology for CBRN-E purposes

You may be a good fit if you

• Have deep domain expertise in biosecurity, chemical defense, biological weapons non-proliferation, dual-use research of concern (DURC), synthetic biology, or related CBRN-E threat domains

• Have demonstrated proficiency in SQL and Python for data analysis and threat detection

• Have experience with threat actor profiling and utilizing threat intelligence frameworks

• Have hands-on experience with large language models and understanding of how AI technology could be misused for CBRN-E threats

• Have excellent stakeholder management skills and ability to work with diverse teams including researchers, policy experts, legal teams, and external partners

• Can present analytical work to both technical and non-technical audiences, including government stakeholders and senior leadership

Strong candidates may also have

• Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or related field

• Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats

• Experience working with government agencies or in regulated environments dealing with sensitive CBRN-E information

• Background in AI safety, machine learning security, or technology abuse investigation

• Familiarity with synthetic biology, biotechnology, or dual-use research

• Experience building and scaling threat detection systems or abuse monitoring programs

• Active Top Secret security clearance

The annual compensation range for this role is $230,000-$290,000 USD.

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Responsibilities:

• Develop and execute a product strategy focused on increasing revenue growth across our suite of products
• Drive monetization efforts spanning the likes of pricing & packaging, free-to-paid conversion, and consumption-based billing
• Analyze product metrics and user feedback to identify monetization opportunities and optimize performance
• Collaborate with engineering, design, and marketing teams to deliver high-impact growth initiatives
• Conduct user research to understand customer needs and pain points
• Define and track key performance indicators (KPIs) for growth initiatives
• Balance rapid iteration with our commitment to AI safety and ethics

Qualifications:

• 6+ years of product management experience, majority in growth focused roles
• Experience working on growth for mass-scale subscription businesses
• Direct experience owning monetization – pricing, packaging, paid conversion, or upgrade funnels
• Strong analytical skills, and experience with A/B testing and funnel optimization
• Excellent communication and stakeholder management skills
• Ability to thrive in a fast-paced, ambiguous environment
• Passion for AI technology and its potential impact on society
• Technical background or ability to work effectively with engineering teams
• Founder experience is a plus

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.

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As a Commercial Counsel, you will support the APAC Sales team, leading negotiations for complex and strategic agreements, advise on a wide range of commercial and legal issues, and be an integral part of the build-out of Stripe's commercial legal infrastructure.

Key responsibilities include:

• Supporting the APAC Sales team in leading negotiations for complex and strategic agreements
• Advising on a wide range of commercial and legal issues, including launch of new products to Stripe users and support international expansions
• Being an integral part of the build-out of Stripe's commercial legal infrastructure so that we can scale and operate efficiently at pace with Stripe's exponential growth
• Drafting and maintaining Stripe's agreements and playbooks, leading and contributing projects to improve internal processes, leveraging AI tooling to optimize how we work and collaborate with our clients, partners, and users
• Partnering with teams across Stripe globally, including sales, operations, product, tax, risk groups, and others
• Helping the entire team drive scaled support and efficiency, working collaboratively in a global team to maximize the overall impact of the Commercial Legal team
• Developing and delivering training and other resources to help the Sales team sell our products
• Being a point of escalation for outside counsel

The person we are looking for is:

• Intellectually curious and a creative problem solver
• A self-starter with a bias for action
• A clear and concise communicator (in written and verbal forms), who can distill the key risks and explain complex, nuanced issues in plain and simple terms
• A natural collaborator, able to guide cross-functional teams and drive to a win-win solution
• Familiar with the range of legal issues and commercial risks that arise in connection with hosted data and technology services
• A team player who is willing to do what it takes to contribute to the collective success
• Qualified in at least one APAC region with a law degree or equivalent
• 7+ years of relevant experience in-house or in a technology practice group in a top law firm

It would be preferable but not essential for you to have:

• Fluency in Mandarin and experience supporting the Greater China region
• Experience working in payment or fintech industries and knowledge of associated regulatory issues
• In-house experience advising high-growth companies
• Working knowledge on how to use LLM tools
• Experience in improving legal processes with AI technology
• A working knowledge of data protection laws

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We are seeking an exceptional Commercial Counsel to join our founding Commercial Legal team in EMEA. As a strategic legal partner to our sales teams, you will support complex deal negotiations and commercial activities that fuel our expansion with leading EMEA companies and organizations across all market segments.

Responsibilities:

• Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions in EMEA, including enterprise customer contracts
• Partner closely with Sales and Go-to-Market teams to support deal velocity and provide practical legal guidance
• Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements
• Identify and escalate legal risks appropriately while supporting business momentum
• Stay current on legal developments affecting AI technologies
• Foster relationships with external stakeholders, including clients of all sizes, regulatory bodies, and industry partners across the EMEA region

Requirements:

• Law degree and qualification to practice law in a relevant EMEA jurisdiction
• At least 4 years of legal experience, ideally with exposure to commercial contracts, SaaS agreements, or technology transactions
• Clear communication skills and comfort translating legal concepts for non-lawyer audiences
• A low-ego, collaborative approach to working with colleagues and external partners
• Curiosity about AI technology, AI Policy, and commitment to responsible AI development
• Experience navigating multi-stakeholder agreements involving technical and policy considerations
• Comfort in fast-paced environments with shifting priorities and tight deadlines

Benefits:

• Annual compensation range: £125,000-£165,000 GBP
• Competitive benefits package
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours

How to Apply:

If you are a motivated and experienced legal professional looking to join a dynamic team, please submit your application, including your resume and cover letter, to [careers@anthropic.com](mailto:careers@anthropic.com).

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Responsibilities:

• Build and lead a high-performing team of Enterprise Account Executives focused on Industries, providing coaching, mentorship, and guidance to drive team success
• Develop and implement sales strategies tailored to Industries procurement cycles and budgeting processes to meet and exceed team revenue quotas
• Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems
• Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with specific focus on Industries buying cycles and decision-making processes
• Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales for financial applications
• Enable your team to have credible technical conversations about AI applications in Industries while maintaining appropriate guardrails
• Build strong partnerships across the organization to drive strategic initiatives within the Industries sector
• Identify and execute on new market opportunities and use cases for Anthropic's AI solutions within financial departments, research centers, and administrative offices
• Help your team navigate complex financial stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus
• Gather and synthesize customer feedback from financial users to inform product direction and enhance customer experience for Industries
• Build and continuously refine the Industries sales methodology by incorporating learnings into playbooks and best practices

You may be a good fit if you have:

• 15+ years of enterprise sales experience in Industries technology, preferably driving adoption of SaaS or emerging technologies
• 5+ years of sales leadership experience, ideally 3+ leading teams within the Enterprise segment focused on Industries in DACH and CEE
• Proven track record of building and leading high-performing sales teams selling into financial institutions, with demonstrated success in coaching and developing AEs
• Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations serving Industries
• Strong technical acumen and ability to understand complex AI solutions and their applications in Industries, with experience enabling teams to have credible technical conversations with financial stakeholders
• Track record of successful partnership with technical teams throughout the customer journey within financial institutions
• Deep understanding of Industries buying cycles, procurement frameworks, and key pain points
• Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives
• Experience managing complex enterprise sales cycles within financial institutions and helping AEs secure strategic deals
• Strong operational rigor in pipeline management, forecasting, and sales metrics specific to Industries sales cycles
• Excellent communication skills and ability to build relationships across all levels, from analysts and researchers to senior executives in Industries
• Strategic approach to financial market analysis combined with tactical excellence in execution
• Passion for AI technology and commitment to its safe, responsible development for financial use cases

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Responsibilities:

• Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions in EMEA, including enterprise customer contracts
• Partner closely with Sales and Go-to-Market teams to support deal velocity and provide practical legal guidance
• Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements
• Identify and escalate legal risks appropriately while supporting business momentum
• Stay current on legal developments affecting AI technologies
• Foster relationships with external stakeholders, including clients of all sizes, regulatory bodies, and industry partners across the EMEA region

You might be a good fit if you have:

• Law degree and qualification to practice law in a relevant EMEA jurisdiction
• At least 4 years of legal experience, ideally with exposure to commercial contracts, SaaS agreements, or technology transactions
• Clear communication skills and comfort translating legal concepts for non-lawyer audiences
• A low-ego, collaborative approach to working with colleagues and external partners
• Curiosity about AI technology, AI Policy, and commitment to responsible AI development
• Experience navigating multi-stakeholder agreements involving technical and policy considerations
• Comfort in fast-paced environments with shifting priorities and tight deadlines
• A 'doer' attitude,willingness to roll up your sleeves and pitch in where needed

Strong candidates may have:

• In-house experience at leading technology companies with EMEA operations
• Previous experience with AI, machine learning, or other experimental technologies in commercial contexts
• Experience supporting sales teams across diverse client segments in deal negotiations

Role-specific policy: For this role, we expect all staff to be able to work from our Dublin office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.

The annual compensation range for this role is €165,000-€210,000 EUR.

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As a Commercial Counsel, GTM, you'll work alongside experienced colleagues who operate as true strategic partners,moving fast, thinking creatively, and working collaboratively to support deals that matter. In this role, you'll focus heavily on supporting our Go-to-Market teams, handling enterprise agreements and customer negotiations while gaining exposure to a range of commercial work including research collaborations, product partnerships, and procurement.

Additionally, you’ll have opportunities to work on cutting-edge AI safety and research agreements, including threat-sharing frameworks with leading security organizations and collaborations that shape and advance responsible AI development standards.

This is an excellent opportunity for a motivated attorney to develop deep expertise in their commercial transactions career while contributing directly to responsible AI development.

Responsibilities:

• Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions including enterprise customer contracts

• Partner closely with Sales and Go-to-Market teams to support deal velocity and provide practical legal guidance

• Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements

• Potentially partner with Policy, Safeguards, and Research teams on novel AI governance initiatives

• Identify and escalate legal risks appropriately while supporting business momentum

• Stay current on legal developments affecting AI technologies

Requirements:

• A JD and active membership in at least one U.S. state bar (California preferred)

• At least 3-5 years of legal experience, with exposure to commercial contracts, SaaS agreements, or technology transactions

• Clear communication skills and comfort translating legal concepts for non-lawyer audiences

• A low-ego, collaborative approach to working with colleagues and external partners

• Curiosity about AI technology, AI Policy, and commitment to responsible AI development

• Experience navigating multi-stakeholder agreements involving technical and policy considerations

• Comfort in fast-paced environments with shifting priorities

• A 'doer' attitude,willingness to roll up your sleeves and pitch in where needed

Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco, Seattle or New York offices at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.

The annual compensation range for this role is $265,000-$320,000 USD.

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Responsibilities:

• Support the Sales team, with particular focus on Stripe's Stablecoin & Crypto team, leading negotiations and advising on a wide range of commercial and legal issues
• Work closely with Product Legal to bring new products and features to market, including drafting service terms and providing contractual, commercial, and user-experience advice for launches
• Be an integral part of the build out of Stripe's commercial legal infrastructure to enable scalable, efficient operations in line with Stripe's growth
• Partner with teams across Stripe, including Sales, Partnerships, Operations, Product, Tax, and Risk groups, to align legal solutions with business priorities
• Serve as a proactive and strategic business partner to senior managers and act as a trusted advisor on commercial strategy and risk
• Develop and deliver training, playbooks, and other resources to help the Sales team sell our products confidently and compliantly
• Act as a point of escalation for outside counsel and manage outside counsel relationships when matters require external expertise

Minimum requirements:

• Intellectually curious and a creative problem solver: you relish learning new products and finding creative solutions to complex and evolving legal and commercial problems
• Exceptional drafting skills, with experience in creating services terms or SaaS agreements in addition to deal negotiation drafting
• A self-starter with a bias for action: you are proactive and take ownership to move matters forward
• A clear and concise communicator (written and verbal): you can distill key risks and explain nuanced issues in plain, simple terms for commercial and technical stakeholders
• A natural collaborator: you can guide cross-functional teams toward practical, win-win outcomes
• Familiar with the legal issues and commercial risks arising in connection with hosted data and technology services
• Passionate about technology and able to understand complex business models and product use cases quickly
• A team player willing to do what it takes to contribute to collective success
• Qualified with good standing membership in at least one US state bar with a JD or foreign equivalent
• 6+ years of relevant experience in-house or in a technology practice group at a top law firm

Preferred qualifications:

• Direct experience advising on, drafting service terms for, and negotiating transactions involving cryptocurrency, stablecoin, or traditional money-movement products, particularly on a global basis
• Experience in payments or fintech and familiarity with related regulatory frameworks
• Working knowledge of LLM tools and experience in improving legal processes with AI technology
• Prior in-house experience advising high-growth technology companies
• Working knowledge of data protection and privacy regimes such as CCPA, GDPR, and HIPAA

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As a Commercial Counsel, you will support the AMER Sales team, leading negotiations for complex and strategic agreements, advise on a wide range of commercial and legal issues, and work closely with Product Legal to bring new products and features to market.

Responsibilities:

• Support the AMER Sales team, leading negotiations for complex and strategic agreements.
• Advise on a wide range of commercial and legal issues, including launch of new products to Stripe users and support international expansions.
• Work closely with Product Legal to bring new products and features to market.
• Be an integral part of the build out of Stripe's commercial legal infrastructure so that we can scale and operate efficiently at pace with Stripe's exponential growth - this work includes drafting and maintaining Stripe's agreements and playbooks, leading and contributing projects to improve internal processes, leveraging AI tooling to optimize how we work and collaborate with our clients, partners and users.
• Partner with teams across Stripe globally, including sales, operations, product, tax, risk groups, and others.
• Help the entire team drive scaled support and efficiency, working collaboratively in a global team to maximize the overall impact of the Commercial Legal team.
• Develop and deliver training and other resources to help the Sales team sell our products.
• Be a point of escalation for outside counsel.

Requirements:

• 8+ years of relevant experience in-house or in a technology practice group in a top law firm.
• Qualified with good standing membership in at least one US state bar with a JD degree or foreign equivalent.
• Intellectually curious and a creative problem solver.
• A self-starter with a bias for action.
• A clear and concise communicator.
• A natural collaborator.
• Familiar with the range of legal issues and commercial risks that arise in connection with hosted data and technology services.
• A team player who is willing to do what it takes to contribute to the collective success.

Preferred qualifications:

• Experience working in payment or fintech industries and knowledge of associated regulatory issues.
• In-house experience advising high growth companies.
• Working knowledge on how to use LLM tools.
• Experience in improving legal processes with AI technology.
• A working knowledge of data protection laws such as CCPA, GDPR, and HIPAA.

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Your responsibilities will include:

• Leading development (strategic outbound and qualified inbound) to handle strategic outreach as well as warm introductions to promising enterprise customers and converting inbound deals where upselling / more bespoke agreements can be achieved

• Providing hands-on support and guidance to clients during a potential Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process

• Leveraging successful POC outcomes to facilitate the conversion of POCs into long-term, revenue-generating contracts

• Developing and executing strategic sales plans to convert leads into valued customers — you are the first point of contact for all external stakeholders and are responsible for properly managing deals and aligning all stakeholders (heavy involvement of customer engineering, product, and commercial teams, both on operational and C-level)

• Handling customer negotiation end-to-end, together with our legal and implementation specialist team

• Cultivating and maintaining strong relationships with C-level executives, heads of innovation/AI, and other key decision-makers within target organisations

• Comprehending their specific challenges and needs, positioning our solution as an integral part of their strategic initiatives

• Demonstrating a deep understanding of the technical intricacies of our product and articulating its value proposition effectively to potential clients

• Working side-by-side with our implementation team to ensure that customer's questions, concerns and challenges are taken care of during pre-sales, deployment and post-deployment phase

• Collaborating with our technical team to address any customer inquiries or concerns

• Empowering internal teams with the knowledge and resources that you collect in customer conversations to drive product roadmap and align on priorities

To succeed in this role, you will need:

• 7-10 years experience in Sales (enterprise sales/consultative selling, ideally selling a highly complex, technical product)

• Excellent academics: Bachelor and/or Master Degree in Business, Computer Science, or a related field

• Significant work experience within AI ecosystem or related data/infrastructure field

• Experience at successful fast growing startup, ideally in deep-tech

• Strong technical skills to navigate quickly evolving products and steer technical discussions

• Excellent English & Spanish, additional language welcome (e.g. German, French, etc.)

• Outstanding negotiation and communication skills

We offer a competitive cash salary and equity, as well as a range of benefits including food, sport, transportation, health, parental leave, and visa sponsorship.

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Responsibilities:

• Drive the development of AI features that drive impact
• Partner with Engineering to set strategy and priorities for teams and projects
• Define a vision and roadmap for AI-driven user experiences
• Build and maintain a strong understanding of AI technology in the payment industry
• Partner with cross-functional teams to improve features

Requirements:

• 5+ years of product management experience
• Proven track record shipping and iterating on AI features that drive impact
• Experience with Fintech or SaaS industry
• Experience working in a fast-paced, scrappy environment

Preferred skills:

• Experience with AI model training, evaluation, and iteration
• Ability to communicate clearly at different altitudes, including driving alignment with senior stakeholders
• An affinity for the fast-paced, changing environment of a start-up, a sense of humor, and get-it-done personality

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We are looking for a Technical Cyber Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations.

You will work at the intersection of AI safety and cybersecurity, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against emerging cyber threats in the rapidly evolving landscape of AI-enabled risks. Your work will directly protect the broader ecosystem from sophisticated threat actors who seek to leverage AI technology for harm.

Responsibilities

• Detect and investigate attempts to misuse Anthropic's AI systems for cyber operations, including influence operations, malware development, social engineering, and other adversarial activities

• Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors across our platform

• Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting LLM systems

• Conduct cross-platform threat analysis grounded in real threat actor behavior, using open-source research, dark web monitoring, and internal data

• Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm at scale

• Study trends internally and in the broader ecosystem to anticipate how AI systems could be misused, generating and publishing reports

• Build and maintain relationships with external threat intelligence partners, information sharing communities, and government stakeholders

• Work cross-functionally to build out our threat intelligence program, establishing processes, tools, and best practices

You may be a good fit if you

• Have demonstrated proficiency in SQL and Python for data analysis and threat detection

• Have experience with large language models and understanding of how AI technology could be misused for cyber threats

• Have subject matter expertise in abusive user behaviour detection, such as influence operations, coordinated inauthentic behaviour, or cyber threat intelligence

• Have experience tracking threat actors across surface, deep, and dark web environments

• Can derive insights from large datasets to make key decisions and recommendations

• Have experience with threat actor profiling and utilising threat intelligence frameworks (MITRE ATT&CK, etc.)

• Have strong project management skills and ability to build processes from the ground up

• Possess excellent communication skills to collaborate with cross-functional teams and present to leadership

Strong candidates may also have

• Experience working with government agencies or in regulated environments

• Background in AI safety, machine learning security, or technology abuse investigation

• Experience building and scaling threat detection systems or abuse monitoring programs

• Active Top Secret security clearance

Deadline to apply

None. Applications will be reviewed on a rolling basis.

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification.

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.

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/career

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We're looking for a Commercial Counsel, GTM to join our legal team at the forefront of shaping how cutting-edge AI technology reaches users, researchers, and enterprises worldwide. You'll work alongside experienced colleagues who operate as true strategic partners—moving fast, thinking creatively, and working collaboratively to support deals that matter.

In this role, you'll focus heavily on supporting our Go-to-Market teams, handling enterprise agreements and customer negotiations while gaining exposure to a range of commercial work including research collaborations, product partnerships, and procurement. Additionally, you’ll have opportunities to work on cutting-edge AI safety and research agreements, including threat-sharing frameworks with leading security organizations and collaborations that shape and advance responsible AI development standards.

Responsibilities:

• Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions including enterprise customer contracts
• Partner closely with Sales and Go-to-Market teams to support deal velocity and provide practical legal guidance
• Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements
• Potentially partner with Policy, Safeguards, and Research teams on novel AI governance initiatives
• Identify and escalate legal risks appropriately while supporting business momentum
• Stay current on legal developments affecting AI technologies

You might be a good fit if you have:

• A JD and active membership in at least one U.S. state bar (California preferred)
• At least 3 years of legal experience, ideally with exposure to commercial contracts, SaaS agreements, or technology transactions
• Clear communication skills and comfort translating legal concepts for non-lawyer audiences
• A low-ego, collaborative approach to working with colleagues and external partners
• Curiosity about AI technology, AI Policy, and commitment to responsible AI development
• Experience navigating multi-stakeholder agreements involving technical and policy considerations
• Comfort in fast-paced environments with shifting priorities
• A "doer" attitude—willingness to roll up your sleeves and pitch in where needed

Role-specific policy:

For this role, we expect all staff to be able to work from our San Francisco or New York offices at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

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The ideal candidate will have a passion for developing people, identifying market opportunities, and executing strategies to capture them. By leading the deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI.

Responsibilities:

• Build and lead a high-performing team of Enterprise Account Executives, providing coaching, mentorship, and guidance to drive team success

• Develop and implement sales strategies to meet and exceed team revenue quotas

• Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems

• Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness

• Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales

• Enable your team to have credible technical conversations while maintaining appropriate guardrails

• Build strong partnerships across the organization to drive strategic initiatives

• Identify and execute on new market opportunities and use cases for Anthropic's AI solutions

• Gather and synthesize customer feedback to inform product direction and enhance customer experience

• Build and continuously refine the sales methodology by incorporating learnings into playbooks and best practices

You may be a good fit if you

• 7+ years of enterprise sales experience driving adoption of emerging technologies

• 5+ years of sales leadership experience, ideally 3+ leading teams within the Enterprise segment

• Proven track record of building and leading high-performing sales teams, with demonstrated success in coaching and developing AEs

• Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations

• Strong technical acumen and ability to understand complex AI solutions, with experience enabling teams to have credible technical conversations

• Track record of successful partnership with technical teams throughout the customer journey

• Demonstrated ability to navigate dynamic stakeholder ecosystems and drive cross-functional initiatives

• Experience managing complex enterprise sales cycles and helping AEs secure strategic deals

• Strong operational rigor in pipeline management, forecasting, and sales metrics

• Excellent communication skills and ability to build relationships across all levels

• Strategic approach to market analysis combined with tactical excellence in execution

• Passion for AI technology and commitment to its safe, responsible development

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 - $435,000USD

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We are looking for a Technical CBRN-E Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for Chemical, Biological, Radiological, Nuclear, and Explosives (CBRN-E) threats.

Responsibilities

• Detect and investigate attempts to misuse Anthropic's AI systems for developing, enhancing, or disseminating CBRN-E weapons, pathogens, toxins, or other threats to harm people, critical infrastructure, or the environment

• Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover sophisticated CBRN-E threat actors

• Develop CBRN-E-specific detection capabilities, including abuse signals, tracking strategies, and detection methodologies tailored to dual-use research concerns

• Create actionable intelligence reports on CBRN-E attack vectors, vulnerabilities, and threat actor TTPs leveraging AI systems

• Conduct cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported programs

• Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions

• Engage with external stakeholders including government agencies, regulatory bodies, scientific organizations, and biosecurity/chemical security research communities

• Inform safety-by-design strategies by forecasting how threat actors may leverage advances in AI technology for CBRN-E purposes

You may be a good fit if you

• Have deep domain expertise in biosecurity, chemical defense, biological weapons non-proliferation, dual-use research of concern (DURC), synthetic biology, or related CBRN-E threat domains

• Have demonstrated proficiency in SQL and Python for data analysis and threat detection

• Have experience with threat actor profiling and utilizing threat intelligence frameworks

• Have hands-on experience with large language models and understanding of how AI technology could be misused for CBRN-E threats

• Have excellent stakeholder management skills and ability to work with diverse teams including researchers, policy experts, legal teams, and external partners

Strong candidates may also have

• Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or related field

• Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats

• Experience working with government agencies or in regulated environments dealing with sensitive CBRN-E information

• Background in AI safety, machine learning security, or technology abuse investigation

• Familiarity with synthetic biology, biotechnology, or dual-use research

• Experience building and scaling threat detection systems or abuse monitoring programs

• Active Top Secret security clearance

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

In this role, you'll lead a team of Account Executives driving the adoption of safe, frontier AI with top enterprises across Japan. This role is critical to Anthropic's APAC expansion.

You'll leverage your leadership expertise to propel revenue growth while developing a high-performing team. Working closely with Applied AI Engineering, Product, GTM, and Marketing teams, you'll help enterprise customers deploy AI solutions and refine our market positioning for Japan.

The ideal candidate will have a deep understanding of Japanese business culture, a passion for developing people, and the ability to navigate Japan's consensus-driven sales environment.

Responsibilities:

• Build and lead a high-performing team of Account Executives, providing coaching, mentorship, and guidance to drive team success

• Develop and implement sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed team revenue quotas

• Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems

• Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with focus on Japanese enterprise buying cycles and decision-making processes

• Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales

• Enable your team to have credible technical conversations about AI applications while maintaining appropriate guardrails

• Build strong partnerships across the organisation to drive strategic initiatives

• Identify and execute on new market opportunities and use cases for Anthropic's AI solutions across enterprise segments

• Help your team navigate complex enterprise stakeholder ecosystems including executives, IT departments, and procurement offices to build consensus

You may be a good fit if you have:

• 15+ years of enterprise sales experience, preferably driving adoption of SaaS or emerging technologies

• 5+ years of sales leadership experience within the Enterprise segment

• Proven track record of building and leading high-performing sales teams selling into large enterprises, with demonstrated success in coaching and developing AEs

• Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organisations

• Strong technical acumen with ability to enable credible AI conversations

• Track record of successful partnership with technical teams throughout the customer journey

• Deep understanding of enterprise buying cycles, procurement frameworks, and common pain points across industries

• Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives

• Experience managing complex enterprise sales cycles and helping AEs secure strategic deals

• Excellent communication skills and ability to build relationships across all levels, from individual contributors to C-suite executives

• Strategic approach to market analysis combined with tactical excellence in execution

• Passion for AI technology and commitment to its safe, responsible development

• Business-level Japanese required; English proficiency strongly preferred

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

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 to do with data and experimentation as it does with theory and mathematics.

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Working closely with Applied AI Engineering and Product teams, you'll help digital-native customers integrate and deploy AI while unlocking its full range of capabilities across their products, platforms, and operations. In collaboration with GTM and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with technical leaders and ensure differentiated value across the digital-native landscape.

The ideal candidate will have a passion for developing people, identifying market opportunities within the digital-native ecosystem, and executing strategies to capture them. By leading the deployment of Anthropic's emerging products, you will help technology companies obtain new capabilities while also advancing the ethical development of AI.

Responsibilities

• Build and lead a high-performing team of Account Executives focused on digital-native businesses, providing coaching, mentorship, and guidance to drive team success
• Develop and implement sales strategies tailored to digital-native buying cycles and technical evaluation processes to meet and exceed team revenue quotas
• Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems
• Partner with Enablement to develop training programmes and resources that accelerate Account Executive ramp time and effectiveness, with specific focus on digital-native sales motions and technical buyer personas
• Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimise solutions post-sales for digital-native use cases
• Enable your team to have credible technical conversations about AI applications with engineering leaders, CTOs, and technical founders
• Build strong partnerships across the organisation to drive strategic initiatives within the digital-native segment
• Identify and execute on new market opportunities and use cases for Anthropic's AI solutions within technology companies, developer platforms, and digital-first organisations
• Help your team navigate complex stakeholder ecosystems including technical leaders, product teams, procurement, and executive sponsors to build consensus
• Gather and synthesise customer feedback from digital-native users to inform product direction and enhance customer experience
• Build and continuously refine the digital-native sales methodology by incorporating learnings into playbooks and best practices

You may be a good fit if you have:

• 10+ years of enterprise sales experience selling into technology or digital-native companies, preferably driving adoption of SaaS, API-first, or emerging technologies
• 5+ years of sales leadership experience, ideally leading teams selling into digital-native or technology-first organisations
• A history of building and leading high-performing sales teams selling into technical buyers, with demonstrated success in coaching and developing Account Executives
• Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organisations
• Strong technical acumen and ability to understand complex AI solutions and their applications, with experience enabling teams to have credible conversations with CTOs, VP Engineering, and technical founders
• Demonstrated success partnering with technical teams throughout the customer journey
• Deep understanding of how digital-native companies evaluate and adopt new technologies, including developer-led and product-led buying motions
• Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives
• Experience managing enterprise sales cycles and helping Account Executives secure strategic, high-velocity deals
• Strong operational rigour in pipeline management, forecasting, and sales metrics
• Excellent communication skills and ability to build relationships across all levels, from individual engineers to C-suite executives
• Passion for AI technology and commitment to its safe, responsible development

The annual compensation range for this role is £280,000 - £330,000GBP.

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Location

San Francisco

Employment Type

Full time

Department

Research

Compensation

• $250K – $445K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Role

As a Research Engineer here, you will be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. We're looking for people with solid engineering skills (for example designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code, and building the science behind the algorithms employed.

We expect you to:

• Have strong programming skills

• Have experience working in large distributed systems

• Be excited about OpenAI’s approach to research

Nice to have:

• Interested in and thoughtful about the impacts of AI technology

• Past experience in creating high-performance implementations of deep learning algorithms

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Product Policy – Policy Manager (Child Safety)

Location

San Francisco

Employment Type

Full time

Department

Product Policy

Compensation

• $261K – $290K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Product Policy team is responsible for the development, implementation, enforcement, and communication of the policies that govern use of OpenAI’s services, including ChatGPT, GPTs, the GPT store, Sora, and the OpenAI API. As a member of this team, you will be instrumental in developing policy approaches to best enable both innovative and responsible use of AI so that our groundbreaking technologies are truly used to benefit all people.

As a member of the Product Policy team, you will leverage an understanding of AI technology, consumer and developer products, as well as the policy landscape to help mitigate risks and ensure OpenAI’s products benefit all of humanity. This role will shape Product Policy’s approach on child safety related policies to support our growing investments in protecting children and young people across our platforms. This will include crafting policies with our partner teams to ensure the best possible user experiences with our tools and working closely with investigative, integrity, safety, and ops teams to detect and address misuse.

We’re looking for candidates with deep expertise in the child safety ecosystem — particularly as it relates to generative AI — who can partner closely with product and legal teams to shape responsible platform policy. Ideal candidates bring a strong understanding of the child safety and AI policy landscape and are able to translate that expertise into clear, practical guidance for product teams and company leadership. As OpenAI continues to scale, this role will play a key part in aligning diverse stakeholders across product, legal, research, global affairs, and communications to advance a coherent and trusted approach to child safety. Comfort navigating complexity and ambiguity is essential.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Develop and maintain child-safety policy frameworks that govern how OpenAI products are designed, launched, and operated, including safeguards against exploitation, grooming, harmful content, and other child-related risks.

• Partner cross-functionally with Product, User Ops, Legal, Safety, Integrity, Communications, and Global Affairs to align on risk posture, product launches, incident response, and external commitments.

• Translate policy into practice by creating clear implementation standards, enforcement protocols, and escalation paths that engineering, operations, and integrity teams can embed directly into product and trust & safety systems.

• Identify opportunities to leverage data to inform our policy work.

You might thrive in this role if you:

• 4+ years of experience in child safety, trust & safety, policy, investigations, intelligence, or a related field, with exposure to how technology platforms manage child-related risks.

• Have specific & deep experience with _product policy_ work to partner with technical teams and shape responsible product development.

• Possess excellent communication skills with demonstrated ability to communicate with product managers, engineers, researchers, and executives alike

• Are comfortable with ambiguity and enjoy going 0 to 1

• Are a creative thinker with an eye for opportunities to leverage data to inform policies

• Have an understanding of how government, enterprise, and other stakeholders think about child safety related policy issues

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core,

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Location

San Francisco

Employment Type

Full time

Department

Research

Compensation

• $250K – $445K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

By applying to this role, you will be considered for Research Scientist roles across all teams at OpenAI.

About the Role

As a Research Scientist here, you will develop innovative machine learning techniques and advance the research agenda of the team you work on, while also collaborating with peers across the organization. We are looking for people who want to discover simple, generalizable ideas that work well even at large scale, and form part of a broader research vision that unifies the entire company.

We expect you to:

• Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects

• Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects

• Be excited about OpenAI’s approach to research

Nice to have:

• Interested in and thoughtful about the impacts of AI technology

• Past experience in creating high-performance implementations of deep learning algorithms

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Trust & Safety Operations Analyst

Location

San Francisco

Employment Type

Full time

Department

Compensation

• $189K – $280K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

At OpenAI, our Trust, Safety & Risk Operations teams safeguard our products, users, and the company from abuse, fraud, scams, regulatory non-compliance, and other emerging risks. We operate at the intersection of operations, compliance, user trust, and safety working closely with Legal, Policy, Engineering, Product, Go-To-Market, and external partners to ensure our platforms are safe, compliant, and trusted by a diverse, global user base.

We support users across ChatGPT, our API, enterprise offerings, and developer tools handling sensitive inbound cases, building detection and enforcement systems, and scaling operational processes to meet the demands of a fast-moving, high-stakes environment.

About the Role

We are seeking experienced, senior-level analysts who specialize in one or more of the following areas:

• Content Integrity & Scaled Enforcement – Detecting, reviewing, and acting on policy violations, harmful content, and emerging abuse patterns at scale.

• Emerging Risk Operations – Identifying, triaging, and mitigating new and complex safety, policy, or integrity challenges in a rapidly evolving AI landscape.

In this role, you will own high-sensitivity workflows, act as an incident manager for complex cases, and build scalable operational systems; including tooling, automation, and vendor processes that reinforce user safety and trust while meeting our legal, ethical, and product obligations.

We use a hybrid work model of 3 days in the San Francisco office per week and offer relocation assistance to new employees.

Please note: This role may involve exposure to sensitive content, including material that is sexual, violent, or otherwise disturbing.

In This Role, You Will:

• Handle and resolve high-priority cases in your area of specialization (scaled content enforcement, fraud/scams, privacy/regulatory, or emerging risks).

• Perform in-depth risk evaluations and investigations using internal tools, product signals, and third-party data.

• Act as incident manager for escalations requiring nuanced policy, legal, or regulatory interpretation.

• Partner with cross-functional teams to design and implement world-class operational workflows, decision trees, and automation strategies.

• Build feedback loops from casework to inform product, engineering, and policy improvements.

• Develop and maintain playbooks, SOPs, macros, and knowledge resources for internal teams and vendors.

• Lead or contribute to cross-functional projects, from zero-to-one process builds to global operational scale-ups.

• Monitor operational health through case quality audits, SLA adherence, escalation accuracy, and user satisfaction metrics.

• Train and support vendor teams, ensuring consistent quality and alignment with OpenAI’s trust and safety standards.

You Might Thrive in This Role If You:

• Have 5+ years of experience in one or more of: trust & safety, fraud prevention, scam investigation, privacy/legal operations, compliance, or other risk/integrity domains ideally in a global or high-growth tech environment.

• Leverage OpenAI technology to enhance workflows, improve decision-making, and scale operational impact.

• Bring deep domain expertise in your specialization area and familiarity with relevant legal, policy, and technical frameworks.

• Have a track record of scaling operations, building processes, and working cross-functionally to improve performance and safety outcomes.

• Possess exceptional analytical skills able to detect patterns, assess risk, and recommend policy or product changes based on evidence.

• Communicate with clarity, empathy, and precision especially in sensitive user-facing contexts.

• Thrive in ambiguous, high-autonomy environments and balance speed with diligence.

Are comfortable with frequent context switching, managing multiple projects, and prioritizing impact.

What We Offer

• Competitive salary and equity package

• Comprehensive benefits, including medical, dental, and vision insurance

• 401(k) retirement plan with employer match

• Paid parental leave and medical and caregiver leave

• Flexible PTO and paid company holidays

• Mental health and wellness support

• Annual learning and development stipend

• Daily meals in our offices and meal delivery credits

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends

How to Apply

If you are a motivated and experienced professional looking to join a dynamic team, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!

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Location

Sydney, Australia

Employment Type

Full time

Location Type

Hybrid

Department

About the team

The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications. We act as a trusted advisor and thought leader for our customers, ensuring developers and enterprises maximize value from our models and products.

About the role

We are seeking a Sales Engineering leader to own and elevate technical aspects of OpenAI’s sales motion. This role is responsible for ensuring customers realize maximum value, impact, and adoption from our models and platforms. You're a deeply technical, customer-obsessed leader who represents the voice of the customer and unifies our customer-facing technical teams around a cohesive, world-class experience across the entire customer lifecycle.

This role is critical to the success of our go-to-market strategy and will have a meaningful influence on both the direction of our technology in the market and how organizations adopt it. You will oversee technical aspects of the sales process, spanning pre-sales solution design and technical validation. You'll also partner closely with post-sales teams as needed to ensure continuity, trust, and long-term success for our customers.

You will lead and develop a high-performing team of Solutions Engineers who rely on your leadership to deliver exceptional technical expertise, credibility, and customer outcomes. This role works in close partnership with Sales, Solutions Architecture (post-sales), Customer Success, Security, and Product, and reports directly to the Head of Technical Success, APAC.

This role is based in our Sydney office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Help craft and continuously refine the strategic vision for OpenAI's Solutions Engineering function, aligning it with broader company objectives and the evolving needs of our diverse clientele.

• Lead and mentor a multifaceted team through the entire sales cycle, fostering an environment that promotes seamless customer engagement, maximum adoption, and scalability.

• Collaborate with cross-functional teams including GTM, Product, Engineering, and Research, ensuring synergy and cohesion in our customer engagement strategies.

• Act as the escalation technical contact for key clients in your sales segment, building trust and a direct line of communication with executive-level stakeholders.

• Be a thought leader in the industry, advocating for the effective and innovative application of our AI technologies across various sectors.

• Champion a customer-first approach within the organization, inspiring your team to always prioritize client satisfaction and success.

You’ll thrive in this role if you:

• Possess deep technical acumen, particularly in AI and related platform technologies, enabling you to engage effectively with technical and non-technical stakeholders alike.

• Are experienced in developing and executing large-scale technical success strategies.

• Excel in motivating and steering a high-performing team, fostering both individual and collective excellence.

• Have experience leading teams spanning across multiple APAC markets and geographies.

• Can distill complex technical concepts into clear, comprehensible communication, adaptable to diverse audiences.

• Embody a customer-centric philosophy, motivating your team to embrace this ethos.

• Demonstrate outstanding presentation and communication skills, particularly when interacting with executive-level individuals.

• Approach your work with humility, a collaborative spirit, and a continuous learning mindset.

• Are adept at problem-solving, prioritizing effectively under pressure.

• Are deeply committed to the ethical and safe advancement of AI technology.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Microsoft are looking for a talented Senior Applied Scientist at their Beijing office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising online advertising technology. You'll work directly with leadership to shape the company's direction in the advertising market.

About the Role

As a Senior Applied Scientist, you will play a key role in driving algorithmic and modeling improvement to the system. You will analyze performance and identify opportunities based on offline and online testing. You will develop and deliver robust and scalable solutions. You will make direct impact to both user and advertisers experience. You will increase the revenue for Bing ads. You will have good communication, collaboration, and analytical skills.

Accountabilities

• Play a key role in driving algorithmic and modeling improvement to the system.
• Analyze performance and identify opportunities based on offline and online testing.
• Develop and deliver robust and scalable solutions.
• Make direct impact to both user and advertisers experience.
• Increase the revenue for Bing ads.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• Good design and problem-solving skills to handle challenging tasks independently.
• Excellent self-learning ability to try new ideas from textbooks or research papers and apply them to real business scenario of the assigned tasks.

Personal attributes:

• Self-motivated with solid passion on machine learning and related tasks.

Benefits

• Work from the office at least four days per week.
• Health and wellbeing benefits.
• Professional development opportunities.
• Financial benefits (bonus, equity, pension, etc.).
• Cultural perks (team events, office amenities, etc.).

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What you'll do

• Develop and own financial analysis for enterprise and consumer growth initiatives, ranging from topline projections down to unit economics for various growth channels
• Develop and own core financial models used for strategic enterprise GTM planning, including quota planning, cross-sell, up-sell, and other various sales and marketing initiatives

What you need

• At least 3+ years of GTM finance role at another rapidly growing company or direct investing experience (private equity, growth equity) covering enterprise SaaS
• At least 2 years of banking or consulting at top-tier firm

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