Location: Istanbul, Türkiye
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
This role will support the Compliance function for OKX Türkiye, helping ensure the business operates in line with MASAK, SPK and wider local regulatory requirements. You’ll work across AML/CFT, KYC/EDD, regulatory reporting, marketing and product compliance, customer protection and compliance controls, while partnering closely with Product, Legal, Marketing, Risk and Operations. The role is ideal for an experienced compliance professional who can interpret regulation, identify risks and control gaps, and translate regulatory requirements into practical solutions within a fast-paced fintech and crypto environment.
What You’ll Be Doing
Support the establishment, execution and maintenance of OKX TR’s local Compliance Program in accordance with MASAK regulations (
Law No. 5549
)
, SPK requirements and applicable internal policies.
Assist in the review and oversight of customer due diligence processes, including individual and corporate onboarding, identity verification, enhanced due diligence, customer risk assessment and ongoing monitoring requirements.
Support the preparation, review and maintenance of suspicious transaction reporting processes, including case analysis, supporting documentation, internal coordination and communication with MASAK where required.
Assist in the handling of regulatory, law enforcement and official authority requests, ensuring that relevant information is reviewed, documented and provided in line with applicable regulatory timelines and internal procedures.
Support the review of marketing campaigns, campaign terms and conditions, GTM materials, reward mechanics, influencer / KOL content, social media content, customer-facing communications, website / app content and research / educational materials from a local Compliance perspective.
Assist in assessing marketing and customer-facing materials against Türkiye-specific regulatory expectations, including fair and clear communication, customer protection, misleading statements, investment advice risk, guaranteed return language, reward disclosures, crypto-asset reward mechanics and onshore / offshore separation.
Support Compliance review of new products, product changes, customer journeys, product documentation, business initiatives and launch materials, helping ensure that local regulatory requirements are considered before implementation.
Assist in the preparation and review of internal procedures, regulatory registers and control documents relating to Compliance-related product, system, marketing and operational enhancements.
Support the monitoring of customer activity, risk indicators and compliance controls to help identify potential suspicious activity, financial crime risks, data-quality issues or process gaps requiring further review or escalation.
Assist in identifying, documenting and following up on control gaps, system limitations and remediation needs, including issues affecting customer data, account status visibility, regulatory reporting, KYC flows and operational controls.
Assist in regulatory mapping and horizon-scanning activities by tracking applicable MASAK, SPK and other relevant regulatory requirements, and supporting the mapping of obligations to internal processes, owners and controls.
Support the preparation and maintenance of Compliance trackers, management reports, Board-level inputs, regulatory DDQs, audit support materials, internal knowledge bases and workflow mappings.
Work closely with Product, Legal, Marketing, Customer Support, CDD, Risk, Operations and Global Compliance teams to support effective implementation of local regulatory requirements across business processes.
Contribute to automation, reporting and operational-efficiency initiatives, including workflow mapping, data analysis, compliance tools and system enhancement requests.
What We Look For In You
3
–
5
years of experience
in compliance, AML/CFT, regulatory compliance, risk management, financial crime, internal controls, legal / regulatory advisory or a similar role, preferably within financial services, fintech, crypto, payments or another regulated environment.
Background in technology-driven, fintech, financial services or regulated environments; crypto experience is a plus but not mandatory.
Understanding of, or strong interest in,
AML
/
CFT
,
KYC
,
EDD
,
sanctions
,
PEP
,
Travel Rule
,
customer due diligence
, regulatory reporting, marketing compliance and customer protection controls
.
Familiarity with MASAK and SPK regulations/requirements
Ability to interpret regulatory requirements and translate them into practical operational processes, controls, documentation, customer communications and product / system requirements.
Experience or strong interest in reviewing marketing materials, campaign terms, customer-facing communications, product documentation, website / app content, research content or regulatory disclosures.
Strong analytical, research and problem-solving skills, with the ability to identify risk patterns, control gaps and process weaknesses.
Well-organised, detail-oriented and able to manage documentation, trackers, controls and multiple workstreams accurately.
Strong written and verbal communication skills in English and Turkish, with the ability to collaborate effectively with cross-functional teams.
Familiarity with compliance databases, case management systems, screening tools, reporting systems, data analysis or workflow automation is a plus.
Proactive mindset, high integrity and ability to work in a fast-paced, technology-driven environment.
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are looking for a Senior Hardware Test Engineer to own the test methodology for HMND‑01’s hardware components, robot subsystems, and complete humanoid robots. You will be the engineer who decides what “good” looks like — from a single actuator on the bench to a full robot walking through an integration sequence.
This is a hands-on, technical leadership role. You will design test methods, run them yourself on early prototypes, and partner closely with the test automation team, Manufacturing Engineering, Production Operations, and Supply Chain Quality as we move from EVT toward production. You’ll be the hardware voice that shapes what gets measured on the line, at what tolerance, and why — without owning the QC routine or rig build, which sit with Production Ops Quality and Manufacturing Engineering respectively.
KEY RESPONSIBILITIES
1. TEST METHOD DEFINITION
- Component-Level Methods: Define functional, performance, and stress tests for individual hardware components — actuators, sensors, electronics, structural parts — including pass/fail criteria and required data capture.
- Subsystem Testing: Design integration tests for major robot subsystems (arms, hands, legs, torso, head) covering kinematic accuracy, repeatability, load behavior, and thermal response.
- Whole-Robot Testing: Define and execute system-level tests for full robot assemblies, including end-to-end motion sequences, balance, manipulation tasks, and failure-mode behavior.
2. HANDS-ON TEST EXECUTION
- Prototype Bring-up: Be the first engineer to put hands on each new hardware revision, characterizing performance against design intent and feeding findings back to the design team.
- Failure Analysis: Investigate failures during testing, work with hardware engineers to root-cause issues, and verify fixes.
- Test Documentation: Capture methods, results, and learnings in a way that the rest of the organization can repeat and trust.
3. AUTOMATION SUPPORT
- Test Automation Inputs: Translate manual test methods into specifications for the automation team. Decide which tests can be automated and which must remain manual, and why.
- Tooling: Specify and prototype custom test fixtures, jigs, and instrumentation needed to execute your methods reliably during prototype and bring-up work.
- Data: Define what each test must capture so that automated runs produce results comparable to your manual baseline.
4. PRODUCTION TEST — IN PARTNERSHIP WITH MANUFACTURING ENGINEERING AND PRODUCTION OPS
- Requirements for Line Rigs & Jigs: Provide the technical requirements for production test jigs, fixtures, and test beds — what they measure, at what tolerance, what data they need to capture, and the pass/fail criteria. Manufacturing Engineering owns rig design, build, and commissioning; you review designs and sign off on whether they actually verify what they’re meant to verify.
- In-Process Verification: Define the checks at each stage of assembly that confirm components and sub-assemblies have been built correctly before they move to the next station, including required measurements and rework paths for failures.
- Test Evidence & Traceability: Define what each production test must capture so that results, measurements, and pass/fail outcomes are written to the production database, linked to the serial number of the unit under test — every shipped robot has a complete and queryable build and test history.
- System-Level Acceptance: Define final-product acceptance tests — performance envelopes, functional gates, and sign-off criteria for a robot leaving the line.
5. QUALITY & DESIGN FEEDBACK LOOP — IN PARTNERSHIP WITH SUPPLY CHAIN QUALITY AND PRODUCTION OPS QUALITY
- Component Performance Characteristics: Define the system-level performance characteristics that incoming parts must meet. Supply Chain Quality translates these into incoming inspection criteria and supplier qualification plans, and runs the inspection process.
- Root-Cause Partnership: Partner with Production Ops Quality on root-cause analysis when line failures trace back to component behavior or system design, and feed findings back into engineering.
- Closed Loop with Design: Treat test data as a closed loop with design — surface trends from production into design reviews so the product gets better, not just the process.
QUALIFICATIONS
Must-Have:
- Experience: 5+ years in hardware test engineering, with hands-on testing of complex electromechanical systems — robotics, automotive, aerospace, or similar.
- Test Methodology: Strong grasp of test theory, test design, and pass/fail criteria definition. You can write a test spec that another engineer can execute without follow-up questions.
- Mechanical: Solid understanding of mechanical design principles, common core components (gears, bearings, actuators), measurement tools (calipers, micrometers, load cells, encoders), and technical drawings including GD&T basics.
- Electrical: Comfortable reading schematics, using a multimeter and oscilloscope, and reasoning about basic power and signal integrity.
- Production Fluency: Familiarity with hardware production operations — flow, takt, work instructions, traveler documentation — enough to collaborate effectively with Manufacturing Engineering and Production Ops without trying to own their work.
- Tooling: Experience with test and task tracking systems (Jira, X-Ray, TestRail, or similar).
- Matrix Operating Style: Comfortable influencing test stations, rigs, and equipment design through clear requirements and tight partnership, not through ownership.
- Mindset: Systems thinking — you naturally see how a problem at the component level can manifest as a behavior at the full-robot level.
Nice-to-Have:
- Robotics experience, especially with serial-link manipulators or legged systems.
- Hands-on test rig and fixture design experience (mechanical and/or electrical) — useful for speaking the same language as Manufacturing Engineering on rig requirements.
- Python (or similar) for ad-hoc data analysis and lightweight test automation.
- CAD (SolidWorks/Fusion/NX) for sketching test fixtures.
- Familiarity with ROS2.
- Experience with embedded systems and field buses such as CAN or EtherCAT.
- Experience with industrial automation equipment (servos, gateways, sensors, PLCs).
- Knowledge of statistical quality control fundamentals (SPC, MSA) — for working effectively with Quality on test data interpretation.
WHAT YOU'LL BE TESTING
- Actuators (motors, gearboxes, encoders, drivers)
- Robot manipulators and end-effectors
- Legged subsystems and balance behaviors
- Power and battery systems
- Full humanoid robot assemblies
WHAT WE OFFER
- Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
- Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support.
- Equity included–we believe builders should share in what they build.
- Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking an experienced Corporate Counsel, M&A to join our corporate legal team. As Anthropic continues to scale, we need an M&A attorney who can drive strategic transactions, including acquisitions, acquihires, minority investments, joint ventures, and other structured deals, from initial diligence through execution and post-closing integration, and help us build the playbooks and processes to do it repeatably.
You will work closely with our Legal, Corporate Development, Finance, Accounting, and executive teams to execute transactions that support Anthropic's mission and growth objectives.
Key responsibilities
Lead legal workstreams on M&A transactions — acquisitions, acquihires, minority investments, joint ventures, and other strategic transactions — from due diligence through closing and post-closing integration
Draft, review, and negotiate transaction documents including letters of intent, purchase agreements, ancillary agreements, and related closing documentation
Manage and coordinate due diligence, including oversight of cross-functional workstreams and third-party advisors
Provide practical counsel on deal structuring, risk allocation, purchase price mechanics, indemnification, and other key transaction terms
Prepare materials for executive leadership (and, as needed, the Board) on transaction matters
Manage outside counsel relationships on transactions, including staffing, budgets, and work-product quality
Represent Legal on post-closing integration, working cross-functionally to ensure smooth transitions
Develop and maintain standardized processes, playbooks, and template documents that drive efficiency and best practices across M&A transactions
Support other corporate matters as needed
Minimum qualifications
Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based
Experience drafting and negotiating M&A transaction documents, including letters of intent, purchase agreements, and ancillary closing documentation
A deep understanding of transaction structures, including stock purchases, asset purchases, mergers, acquihires, minority investments, and joint ventures
Experience with both domestic and cross-border transactions
Experience advising technology companies and startups on the unique legal issues they present
Preferred qualifications
At least 5-8 years of M&A legal experience at a nationally recognized law firm and/or in-house at a high-growth technology company
Experience with public company securities law compliance and SEC reporting
Experience with equity compensation matters in the deal context
Experience with AI, machine learning, or other emerging technology companies
Experience building M&A playbooks, templates, or processes on a lean team
Exceptional analytical, drafting, negotiation, and communication skills, with the ability to translate complex legal issues into clear, practical advice
Ability to thrive in a fast-paced, dynamic environment and manage multiple transactions and priorities simultaneously
An independent self-starter who can drive projects forward with minimal supervision, and collaborate effectively with internal and external stakeholders at all levels
Role-specific policy:
For this role, we expect all staff to be able to work from our San Francisco, New York, or Seattle 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 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:
$265,000
—
$335,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Yanbu, Saudi Arabia; Jeddah, Saudi Arabia; Al Khobar, Saudi Arabia; Manila, Philippines; Lahore, Pakistan; Delhi, India
Eram Talent is seeking a highly skilled Instrument Foreman to join our dynamic team. As a prominent Talent Acquisition Consultancy, we focus on connecting top-tier professionals with leading organizations in the Oil & Energy sector. In this pivotal role, you will oversee and coordinate instrumentation activities on-site, ensuring that all work is executed according to project specifications and industry standards.
The Instrument Foreman will be responsible for managing a team of instrumentation technicians, providing guidance and support to ensure timely and efficient completion of assigned tasks. You will work closely with project managers and engineers to align activities with project timelines and safety protocols.
Responsibilities
Supervise and coordinate the installation, testing, and maintenance of instrumentation systems and equipment.
Lead and motivate a team of instrumentation technicians, ensuring clear communication and adherence to safety standards.
Plan and schedule instrumentation work according to project requirements and timelines.
Conduct regular inspections of ongoing work to ensure quality and compliance with specifications.
Provide technical support and training to team members on best practices and safety procedures.
Maintain accurate records of work performed and report progress to project management.
Requirements
High school diploma or equivalent; technical degree or certification in instrumentation or a related field is preferred.
Minimum of 5 years of experience in instrumentation with at least 3 years in a supervisory role.
Strong knowledge of instrumentation systems, including calibration, installation, and troubleshooting.
Proven leadership skills and the ability to manage a team effectively.
Excellent communication skills and the ability to work collaboratively in a team environment.
Familiarity with health and safety regulations relevant to instrumentation operations.
Ability to interpret technical drawings and schematics related to instrumentation.
Filed experience related water metering, water pipe fitting , electromagnet water flow meters , flow measurement maintenance , calibration of water meters etc.
Yanbu, Saudi Arabia; Jeddah, Saudi Arabia; Al Khobar, Saudi Arabia; Manila, Philippines; Lahore, Pakistan; Delhi, India
Location: Dubai, United Arab Emirates
We are seeking a skilled
Tax Manager (Real Estate)
to join our dynamic finance team. This role focuses on managing all tax matters related to our real estate development projects, ensuring compliance with local tax laws, and optimizing tax strategies to support our business objectives.
The successful candidate will have deep expertise in UAE corporate tax, VAT, and real estate-specific tax regulations. You will work closely with project teams, legal advisors, and external tax consultants to provide comprehensive tax guidance and manage tax risks across our real estate portfolio.
Key Responsibilities
Manage and oversee all tax compliance requirements related to real estate development and construction projects.
Prepare and review corporate tax returns, VAT filings, and related tax documentation.
Provide expert tax advice on real estate acquisitions, disposals, development costs, and investments.
Collaborate with legal and finance teams to structure transactions in a tax-efficient manner.
Monitor and interpret changes in UAE tax laws and real estate tax policies.
Coordinate with external auditors, tax authorities, and consultants during audits and assessments.
Identify and mitigate tax risks associated with real estate activities.
Develop tax planning strategies to optimize the company’s tax position.
Ensure proper documentation and internal controls related to taxation are maintained.
Requirements
Bachelor's degree in Accounting, Finance, or related field.
Professional tax qualification such as CA, ACCA, CPA, or CTA is preferred.
At least 5 years of tax experience, with significant focus on real estate development or construction industry.
Strong knowledge of UAE Corporate Tax, VAT, and real estate-specific tax regulations.
Experience managing tax compliance and reporting for complex real estate transactions.
Familiarity with tax planning, structuring, and risk mitigation in real estate sector.
Proven ability to liaise with tax authorities, auditors, and external consultants.
Excellent analytical, communication, and problem-solving skills.
Detail-oriented with strong organizational skills and ability to manage multiple projects simultaneously.
Proficiency in English; Arabic language skills are a plus.
Benefits
Competitive salary package.
Career growth opportunities.
Employment visa and medical insurance.
Exposure to major real estate development and investment projects.
Opportunity to work on UAE and international tax matters.
Professional and collaborative working environment.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's billing surface is growing fast. New products, new regions, and new channels all need to be metered, priced, invoiced, and reconciled, and the work to make that happen crosses billing engineering, GTM systems, finance, and support teams. Today much of it runs on escalations rather than programs.
We're hiring a Technical Program Manager to own the cross-functional programs in this space. You'll partner closely with billing engineering, GTM systems, finance and treasury, product, and support, and give leadership a single clear view of priorities, dependencies, and progress.
Responsibilities
Drive the cross-team programs that build billing platform foundations, from scoping and tradeoff decisions through delivery
Standardize how new commercial work enters billing: a framework driven intake, clear owners, and sequenced dependencies across billing teams and their stakeholders
Own the promotions program end to end: one repeatable path from proposal to configuration to reconciliation, for both self-serve and sales-led programs
Own commercialization and launch readiness for billing: no new product or SKU launches without pricing, metering, invoicing, and reporting in place
Own the change process for the charge pipeline
Run payments operations programs in partnership with finance and treasury, including currency and FX
You may be a good fit if you
Have 6+ years of technical program management experience, with a track record of owning cross-functional programs end to end
Can reason about metering, invoicing, and payment flows, and the data pipelines behind them
Have run launch readiness programs where a new product needed its commercial and billing path in place before it shipped
Can build trust with engineers, finance and treasury partners, GTM systems, product, and support teams, and translate between them
Are comfortable driving outcomes across teams that don't report to you
Would rather build a repeatable process than keep fixing the same problem by hand
Strong candidates may also have
Experience with promotions or credit programs or enterprise billing platforms
Familiarity with FX, treasury, month end close, or reconciliation
Background in payments operations, billing platform, or quote-to-cash product management
Familiarity with chargeback and refund operations
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking a partnerships leader to own the tri-party motion for systems integrator partnerships selling through AWS. Global systems integrators and specialist SIs are how Claude reaches enterprise customers at scale, and AWS is the surface most of that work runs on. You will own the intersection of those two ecosystems.
In this role, you will build the go-to-market motion that turns partner interest into joint pipeline and closed revenue, working across AWS's partner organization and the AWS practices inside the world's largest integrators. You will define how Claude is positioned inside AWS partner programs, design the commercial mechanics that let partners transact and get rewarded, and build the joint plays that partners take to their customers.
This is a build role. The partner ecosystem is early, the programs are still being designed, and you will be operating across three organizations whose incentives on any given deal don’t always line up. You will help shape how frontier AI technology reaches the enterprise through the services ecosystem.
You will report directly to the Head of AWS GTM Partnerships.
Key Responsibilities
Develop and execute the GTM strategy for our systems integrator partnerships through AWS, including co-selling motions, joint business plans, events and segment-specific plays
Own forecasting, pipeline development, and revenue targets for partner-sourced and partner-influenced business
Design the commercial mechanics that make the partner motion work, including deal registration, marketplace program structure, and incentives
Build and maintain executive-level relationships across AWS's partner organization and across partner AWS practice leadership
Work with partners to develop repeatable, industry-specific solutions built on Claude, and help them build the delivery capability to take those solutions to market
Partner cross-functionally with Anthropic's alliances, sales, partner marketing, and regional cloud teams to keep the motion consistent globally while regions execute locally
Create and implement scalable processes for partnership operations, including escalation management, business reviews, and reporting
Provide strategic market intelligence and competitive insights on the partner ecosystem to inform product and commercial strategy
Identify where to concentrate investment across the partner portfolio and make the case to stop investing where returns are not there
Minimum qualifications
12+ years of enterprise partnerships, alliances, or business development experience, with meaningful time spent on partner ecosystems
Proven track record of building and scaling partnerships with systems integrators, consultancies, or channel partners
Experience building a co-sell or channel motion from the ground up, including the commercial mechanics behind it
Deep understanding of how cloud and partner field organizations operate, and the incentives that drive seller and partner behavior
Track record of carrying and hitting a partner-sourced or partner-influenced revenue number, with credible forecasting behind it
Strong executive presence and demonstrated ability to influence senior stakeholders where you have no formal authority
Excellence in strategic planning, business operations, and program management
Ability to balance strategic thinking with tactical execution, and a willingness to concentrate effort rather than spread thin
Experience working with technical products and translating complex capabilities into business value
Ability to travel up to 25% of the time
Preferred qualifications
Previous experience working with AWS or another hyperscaler partner organization
Working knowledge of systems integrator operating models, including practice structures, delivery economics, and how services revenue drives partner decisions
Background in AI/ML technologies or with developer-focused platforms and their partner ecosystems
Experience scaling partner programs at a company moving from early traction to significant partner-driven revenue
Management consulting experience earlier in your career
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$365,000
—
$425,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Paris, France
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
À propos du poste
En tant que responsable de compte Entreprise chez Anthropic, vous intégrerez l’équipe fondatrice en charge du déploiement de nos solutions API et SaaS de productivité, à la pointe de l’IA, à destination des organisations du secteur automobile en France. Vous favoriserez l’adoption d’une IA sûre et de pointe en concluant des accords stratégiques avec des constructeurs automobiles, des équipementiers de rang 1 et de rang 2, ainsi que des fournisseurs de solutions de mobilité. Vous mettrez à profit votre expertise en vente consultative dans le secteur automobile pour stimuler la croissance du chiffre d’affaires, tout en devenant un partenaire de confiance pour les parties prenantes du secteur automobile. Vous les accompagnerez dans l’intégration et le déploiement de l’IA, en explorant tout son potentiel dans les domaines de l’ingénierie et de la conception, des opérations de fabrication, des services de véhicules connectés et de l’après-vente. En collaboration avec les équipes GTM, Produit et Marketing, vous affinerez continuellement notre proposition de valeur, notre méthodologie de vente et notre positionnement sur le marché afin de répondre aux besoins des décideurs du secteur automobile.
Le candidat idéal est passionné par le développement de nouveaux segments de marché, par l'identification des opportunités à fort potentiel et mettre en œuvre des stratégies pour les saisir. En favorisant le déploiement des produits émergents d'Anthropic, vous aiderez les entreprises à acquérir de nouvelles capacités tout en favorisant le développement éthique de l'IA.
Responsabilités:
Développez le portefeuille clients et stimulez les revenus d’Anthropic dans le secteur automobile. Naviguez au sein d’organisations complexes du secteur automobile pour identifier les décideurs clés, les informer sur nos services et les accompagner vers le succès avec Anthropic. Vous serez responsable de l’ensemble du cycle de vente, depuis le premier contact jusqu’à la conclusion.
Concevoir et exécuter des stratégies de vente innovantes adaptées aux cycles d'approvisionnement automobiles, à la qualification des fournisseurs et aux processus budgétaires afin d'atteindre et de dépasser les objectifs de chiffre d'affaires. Analyser les paysages, les tendances et la dynamique du marché automobile pour transformer les plans stratégiques en activités et campagnes de vente ciblées
Mener l’expansion du marché en identifiant de nouveaux cas d’utilisation au sein des équipes d’ingénierie et de R&D, des fonctions de fabrication et de chaîne d’approvisionnement, des divisions véhicule connecté et logiciel, et des opérations d’après-vente. Collaborer de manière inter-fonctionnelle pour différencier nos offres destinées aux applications automobiles.
Naviguer dans des écosystèmes complexes de parties prenantes du secteur automobile, notamment les dirigeants, les responsables de l'ingénierie et de la fabrication, les services informatiques et les bureaux d'approvisionnement, afin de parvenir à un consensus
Informer les feuilles de route et les fonctionnalités des produits en recueillant les commentaires des utilisateurs et en transmettant les besoins du marché automobile.
Fournir des informations qui renforcent notre proposition de valeur pour le secteur automobile
Affiner continuellement la méthodologie de vente automobile en intégrant les enseignements dans les guides, les modèles et les meilleures pratiques. Identifier les améliorations des processus qui optimisent la productivité et la cohérence des ventes
Profil recherché:
Plus de 12 ans d'expérience en vente B2B dans le SaaS, les solutions API ou les technologies émergentes
Un historique réussi de gestion de cycles de vente complexes au sein d’organisations du secteur automobile, avec la conclusion de contrats stratégiques grâce à une compréhension à la fois des exigences techniques et des cas d’utilisation dans le secteur automobile.
Capacité démontrée à naviguer dans les structures organisationnelles et les processus d’approvisionnement du secteur automobile, en mobilisant l’adhésion des différents intervenants, notamment les dirigeants, les responsables de l’ingénierie et de la fabrication, et les services informatiques.
Expérience approfondie dans la négociation d'accords complexes au sein des cadres d'approvisionnement automobile et des politiques de qualification des fournisseurs Expérience avérée de dépassement des objectifs de revenus grâce à une gestion efficace d'un pipeline et d'un processus de vente en constante évolution
Excellentes compétences en communication et capacité à faire des présentations avec assurance devant divers publics du secteur automobile, des ingénieurs et directeurs d’usine aux cadres supérieurs.
Connaissance approfondie des cycles d’achat du secteur automobile, des processus de décision et des principaux points de friction, y compris les longs délais liés aux programmes et les exigences de qualification des fournisseurs
Une approche stratégique et analytique pour évaluer le marché automobile, combinée à une exécution créative et tactique pour saisir les opportunités
Intérêt marqué et/ou expérience dans les systèmes d’IA avancés et leurs applications. Vous êtes particulièrement attaché·e à ce que les systèmes d’IA de pointe soient développés de manière sûre et éthique pour un usage automobile.
About the role
As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to automotive organisations across France. You'll drive the adoption of safe, frontier AI by securing strategic deals with vehicle manufacturers, tier one and tier two suppliers, and mobility providers. You'll leverage your consultative sales expertise in the automotive sector to propel revenue growth
while becoming a trusted partner to automotive stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in engineering and design, manufacturing operations, connected vehicle services, and aftersales. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with automotive decision-makers.
The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI.
Responsibilities:
Win new business and drive revenue for Anthropic within the automotive sector. Navigate complex automotive organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close
Design and execute innovative sales strategies tailored to automotive procurement cycles, supplier qualification, and budgeting processes to meet and exceed revenue quotas. Analyse automotive market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns
Spearhead market expansion by identifying new use cases within engineering and R&D teams, manufacturing and supply chain functions, connected vehicle and software divisions, and aftersales operations. Collaborate cross-functionally to differentiate our offerings for automotive applications
Navigate complex automotive stakeholder ecosystems including executives, engineering and manufacturing leadership, IT departments, and procurement offices to build consensus * Inform product roadmaps and features by gathering feedback from users and conveying automotive market needs. Provide insights that strengthen our value proposition for automotive * Continuously refine the automotive sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency
You may be a good fit if you have:
12+ years of B2B sales experience in SaaS, API solutions, or emerging technologies * A track record of managing complex sales cycles within automotive organisations and securing strategic deals by understanding both technical requirements and automotive use cases
Demonstrated ability to navigate automotive organisational structures and procurement processes, building consensus among diverse stakeholders including executives, engineering and manufacturing leadership, and IT departments
Extensive experience negotiating complex agreements within automotive procurement frameworks and supplier qualification policies
Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process
Excellent communication skills and the ability to present confidently to various automotive audiences, from engineers and plant managers to senior executives
Deep understanding of automotive buying cycles, decision-making processes, and key pain points, including long programme timelines and supplier qualification requirements * A strategic, analytical approach to assessing the automotive market combined with creative, tactical execution to capture opportunities
A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for automotive use
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Milan, Italy
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with both the Claude API and Claude for Work
Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Native or C1 Italian speaker with fluent English proficiency
Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Comfortable with python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Singapore
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking a detail-oriented and skilled Director of Payroll to join our growing Finance team in Singapore. In this role, you will be responsible for managing all aspects of international payroll processing, ensuring accuracy, compliance, and timely delivery of payroll services to our employees across multiple countries. This role will report to our Head of International Accounting with a dotted line to the Head of Global Payroll.
Responsibilities:
Execute full-cycle payroll processing for APAC international entities including India, Japan, South Korea, Australia, Singapore, and many more as we expand.
Support expansion of payroll operations to new countries including Singapore, New Zealand, and others
Support Corporate Accounting with month-end payroll related accounting tasks and questions
Ensure compliance with local tax regulations and employment laws across all jurisdictions
Manage relationships with third-party payroll providers
Respond to employee inquiries regarding international payroll matters in a timely and professional manner
Partner closely with the equity team to process stock options
Resolve international tax notices from various tax authorities
Collaborate with People, Tax, Global Mobility, Finance, and other departments to resolve payroll discrepancies and implement process improvements
Assist in preparing international payroll reports and analytics for management review
Support payroll systems integration projects and process automation initiatives
Process end-to-end payroll using Workday and Global Payroll Platform (PwC)
You may be a good fit if you
Hold a bachelor's degree in Accounting, Finance, or related field
Have 10+ years of experience in payroll operations, with at least 5 years in international payroll
Are proficient in payroll processing for various compensation types (regular, off-cycle, severance, taxable benefits, and equity)
Have strong knowledge of international payroll regulations and compliance requirements
Are experienced with payroll journal entries, account reconciliations, and month-end close procedures
Have experience working with Workday HRIS and global payroll providers such as PwC GPP platform (preferred)
Possess excellent attention to detail, ability to multitask and maintain accuracy under tight deadlines
Have strong analytical and problem-solving skills
Are proficient in Microsoft Excel and Google Sheets
Strong candidates may also:
Have experience supporting rapid international expansion
Possess knowledge of European employment law and tax regulations
Have experience with payroll systems implementations
Be familiar with Workday or other major HRIS platforms
Hold a bachelor's degree in Accounting, Finance, or related field
Have 5-6+ years of experience in payroll operations, with at least 3 years in international payroll
Are proficient in payroll processing for various compensation types (regular, off-cycle, severance, taxable benefits, and equity)
Have strong knowledge of international payroll regulations and compliance requirements
Are experienced with payroll journal entries, account reconciliations, and month-end close procedures
Have experience working with Workday HRIS and global payroll providers
Possess excellent attention to detail, ability to multitask and maintain accuracy under tight deadlines
Have strong analytical and problem-solving skills
Are proficient in Microsoft Excel and Google Sheets
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Jose, California or Remote
Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities.
Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore
Have Fun
and
Is Motion Gaming Back?
, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations.
Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities.
Important Notice:
⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in
@nex.inc
. If you receive a suspicious email or message, please do not respond and report it immediately to us.
Location:
Remote (PST preferred)
Annual Salary:
USD 110,000 – USD 135,000
Final base salary within this range will be determined based on job-related factors, including the candidate’s experience, skills, qualifications, and geographic location.
Type:
Full-Time
Reporting to:
Senior Director, Growth
Role Overview
We’re looking for an Affiliate & Live Commerce Manager to help grow our affiliate and streamer ecosystem across TikTok Shop, Amazon Live, Twitch, Youtube Live, Whatnot, and other emerging live commerce platforms. This role will support our affiliate and live commerce initiatives by recruiting affiliates and streamers, coordinating campaigns, managing creator relationships, and helping execute live commerce programs that drive engagement, content creation, and sales.
This is a hands-on role for someone who is passionate about affiliate marketing, social commerce, and live shopping, and is excited to help build and scale a fast-growing program at Nex.
What You'll Do
Affiliate Recruitment & Onboarding
: Recruit, onboard, and manage affiliates, creators, and livestream hosts across TikTok Shop, Amazon Live, Twitch, YouTube, Whatnot, and other emerging platforms. Equip partners with the assets, messaging, product knowledge, and best practices needed to produce engaging content and successful livestreams.
Relationship Management
: Build and maintain strong relationships with affiliates, creators, agencies, and livestream partners while identifying new partnership opportunities that align with our brand.
Campaign Coordination
: Coordinate product seeding, creator gifting, commission structure, campaign timelines, and day-to-day communication to ensure seamless campaign execution.
Performance Analysis
: Monitor affiliate, creator, and livestream performance to identify top-performing partners, provide actionable insights, and optimize future campaigns.
Program Operations
: Help develop scalable processes, documentation, and workflows to support the continued growth of our affiliate and live commerce programs.
What You Bring
3+ years of experience in affiliate marketing, creator partnerships, influencer marketing, live shopping, or social commerce.
Experience working with TikTok Shop, Twitch, YouTube, Whatnot, or similar creator and live streaming platforms.
Strong organizational and project management skills, with the ability to manage multiple campaigns simultaneously.
Excellent communication and relationship-building skills with creators, agencies, and cross-functional teams.
An analytical mindset with the ability to interpret campaign performance and identify opportunities for improvement.
A self-starter who enjoys learning new platforms and thrives in a fast-paced, collaborative environment.
Passion for creator and affiliate marketing, livestreaming, gaming, and emerging social commerce trends.
Preferred Qualifications
Experience supporting TikTok Shop affiliate and/or live shopping programs end-to-end from the brand side.
Experience with gaming, consumer electronics, toys, or family-focused brands.
#LI-Remote
We Offer
Competitive compensation package.
Flexible working hours and vacation policy.
Product-driven culture that treasures talents and individual growth.
Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field
Nex is located in
San Jose, California, USA
and
Hong Kong
. Learn more about us at
https://www.nexplayground.com/about
.
We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms!
Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.
We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Staff Software Engineer on the GTM AI Engineering (Claudification) team, you will build the agents and AI systems that run Anthropic's own go-to-market work. Our sellers already work alongside agents every day. You will take things to the next step and build agents that run complete autonomous motions across areas like inbound, outbound, and pipeline management. In addition, you’ll build eval frameworks that prove those agents are ready for customer-facing work and are driving value. This is a senior role where you’ll drive technical direction for agents and evals across our team.
Working closely with sellers, RevOps, and our platform engineering partners, you'll own projects from first prototype through production operation. You'll combine full-stack engineering (MCP servers, agentic systems, web applications, etc.) with hands-on evaluation work (behavior benchmarks, production monitoring, ROI measurement), and help architect the shared platforms that builders from across our go-to-market org contribute to. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing AI engineering function at a pivotal moment in the company's growth.
Key responsibilities
Build and operate autonomous agents that run go-to-market motions end to end, across areas like inbound, outbound, pipeline management, and customer engagement
Design the human oversight for each motion: approval gates, handoffs, and escalation paths that keep sellers in control
Develop evaluation frameworks for agent behavior, and run them in development and in production
Instrument model and tool calls in production, and build the observability and measurement that ties agent actions to pipeline and revenue
Ship MCP servers, agent skills, and web applications that connect to systems like our CRM, communication tools, and data warehouse
Set the technical direction for how we build, evaluate, and operate agents across the team
Architect shared codebases that builders from across go-to-market contribute to, setting the conventions and review practices that keep quality high
Work directly with sellers to ground agent designs in real workflows, and iterate based on what you observe
Identify repeatable patterns and contribute insights back to Anthropic's Product and Engineering teams
Maintain strong knowledge of the latest developments in LLM capabilities, agent frameworks, and evaluation techniques
Minimum qualifications
Strong programming skills in Python or TypeScript, with experience building and operating production applications
Production experience with LLMs, including context engineering, agent development, MCP development, tool use, and evaluation frameworks
Experience using evals and transcript analysis to find and fix real problems in an LLM system
Working fluency with data, including SQL
Ability to navigate ambiguity and ship without a spec, finding simple solutions to complex problems
Passion for advancing safe, beneficial AI, and care for the people who use what you build
Preferred qualifications
8+ years in roles such as software engineer, ML engineer, or forward deployed engineer. Former technical founders are encouraged to apply
Experience with the Claude Code and the Claude Agent SDK
Experience with go-to-market systems (CRM, sales engagement, enrichment, conversation intelligence) or time working closely with a revenue team
Experience growing a codebase that many people contribute to, inner-source or open-source
Applied ML and experimentation background: A/B testing, propensity models, recommendations, or causal analysis
Exceptional communication skills to convey technical concepts to non-technical partners with low ego
Representative projects
(Illustrative of the kind of work, not a project list.)
Build an agent that takes a routine sales workflow from first signal to a drafted, human-reviewed action
Stand up the eval suite for an agent: seed scenarios, scoring rubrics, and regression runs on every change
Ship an MCP server that gives sellers and their agents governed access to a core revenue system
Design a shared repository where go-to-market builders publish agents and skills, with the tests and review rules that keep it healthy
Build a predictive model that explains itself, so an agent can tell a seller why it suggests an action
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote-Friendly, United States
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic is bringing data center capacity online faster than the industry has ever attempted, and the owner-furnished equipment (OFE) that makes a site live — switchgear, transformers, UPS, generators, busway, PDUs, chillers, CDUs, air handlers, dry coolers, pumps and piping skids — is long-lead, high-value, and sits squarely on the construction critical path. When a transformer slips three weeks at the factory, a data hall slips three weeks at the site.
We're hiring a Supply Chain Delivery Manager to own that equipment from purchase order to dock. You will be the site-facing supply chain lead for a regional portfolio of data center projects: tracking every OFE line item against the construction schedule, running factory and logistics escalations with OEMs, holding suppliers and general contractors accountable for delivery performance, and giving leadership a clear, converged picture of delivery risk across the portfolio. Your job is to make sure equipment production and delivery are never the reason a site misses its ready-for-service date.
This is a senior individual-contributor role on the Compute DC Infrastructure team, working daily with Construction, Electrical and Mechanical Engineering, Strategic Sourcing, Commissioning, and our general contractors and OEMs. It is not a category-management or negotiation role — Sourcing owns supplier strategy and commercial terms — and it is not a people-management role. The emphasis is execution: schedules, escalations, logistics, and site readiness.
What You'll Do
Delivery planning and schedule integration
Own the end-to-end OFE delivery plan for each site in your portfolio: order placement, engineering submittal/approval milestones, production slots, FAT dates, ship dates, and required-on-site (ROS) dates, integrated with the GC's construction schedule.
Engage during preconstruction with Construction, Engineering, and the GC to set OFE delivery expectations, sequence equipment arrivals to the build, and identify schedule risk before POs are cut.
Lead OFE kickoff meetings at the site level with the GC and internal construction teams, establishing points of contact, delivery windows, receiving requirements, and escalation paths.
Maintain the single source of truth for OFE status across the portfolio — a live tracker of every line item, its milestone dates, and its risk rating.
Supplier execution and escalation
Run weekly delivery cadences with OEMs and integrators on open orders; verify production progress against committed slots rather than accepting reported dates at face value.
Act as the primary escalation point for factory slips, component shortages, FAT failures, and shipping delays; drive recovery plans (expedites, partial ships, resequencing, alternate sources) with Sourcing and Engineering.
Partner with Sourcing on corporate-level supplier escalations, bringing site-level schedule intelligence to commercial conversations.
Hold GC OFCI teams accountable for receiving, storage, and installation-readiness performance; manage the change/claim process when delivery issues affect the GC's schedule.
Logistics and site readiness
Plan and coordinate transportation for oversize/overweight and high-value equipment — carrier selection, route surveys, permits, crane and rigging coordination — with our logistics partners and the GC.
Manage laydown, staging, and interim storage decisions when site readiness and equipment arrival diverge; coordinate with Quality and Commissioning on receiving inspection and storage/preservation requirements.
Ensure equipment arrives complete — accessories, spares, documentation, and vendor startup support scheduled — so installation and commissioning are not delayed by missing pieces.
Risk management and reporting
Identify, triage, and report delivery risks across the portfolio; propose solutions and drive decisions to protect capacity milestones.
Establish and lead recurring Capacity Delivery Reviews giving leadership converged visibility into OFE delivery status and risk by site and by equipment category.
Track delivery KPIs — on-time-to-ROS, schedule drift by supplier and category, escalation cycle time, expedite spend — and use them to surface systemic issues.
Feed lessons learned back into Sourcing (lead-time assumptions, contract delivery terms, buffer strategy) and Construction (ROS sequencing) to improve the next program.
Who You Are
8–12+ years in supply chain delivery, equipment expediting, construction management, or infrastructure program management on large-scale, schedule-driven construction programs.
Hands-on experience delivering power and/or cooling equipment for mission-critical facilities — transformers, switchgear, generators, UPS, busway, chillers, CDUs, air handlers — and familiarity with how those OEMs actually build and ship.
You've managed cross-functional escalations across construction teams, suppliers, and internal partners, and you know when to expedite, when to resequence, and when to escalate commercially.
Comfortable reading and influencing construction schedules (P6 or MS Project) and tying equipment milestones to them.
Strong written and verbal communication — you can turn a messy delivery problem into a one-page recommendation for leadership.
Data-fluent: you build and maintain trackers and dashboards, and you'd rather look at the numbers than trust a status email.
Thrive with high autonomy in a fast-moving, ambiguous environment; you own outcomes, not just updates.
Bachelor's degree in Supply Chain, Engineering, Construction Management, or a related field, or equivalent experience.
Nice to Have
Experience with hyperscale or AI data center construction and OFCI (owner-furnished, contractor-installed) delivery models.
Experience supporting multiple concurrent projects (5–10+) across a regional portfolio.
Working knowledge of FAT/SAT and commissioning workflows and how equipment documentation gates them.
Heavy-haul / project logistics experience, including international freight, customs, and Incoterms.
Technical understanding of data center electrical distribution and cooling system design.
Familiarity with ERP/procurement systems and analytics tools (SQL, Power BI/Tableau, Smartsheet/Procore).
PMP, CSCP, or similar certification.
Logistics
Location: [San Francisco / hybrid, or remote US near the regional portfolio?]
Travel: [up to 40%] to construction sites in the regional portfolio and to supplier factories as needed.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Infrastructure team is seeking a Data Center Energy Lead, based anywhere in the EU, to secure power capacity and accelerate energy delivery for our rapidly expanding AI compute footprint across the region. This is a multi-country role: from a single EU base, you'll cover several EU jurisdictions. You'll work at the intersection of energy markets, physical power, project development and AI infrastructure needs, leading multi-hundred megawatt procurement efforts and building strategic relationships with TSOs, DSOs, and regulators across multiple European jurisdictions. This role is essential to ensuring Anthropic can scale compute capacity efficiently while navigating the complex dynamics of the EU internal electricity market, national wholesale and capacity markets, and Europe's evolving energy regulatory environment to achieve the speed and scale required for frontier AI development.
Responsibilities:
Develop creative and novel means of energy deployment - grid connected, behind-the-meter/fence, etc. that drives fastest timelines to energization, while maintaining social license
Lead energy procurement and markets strategy to secure multi-hundred megawatt power capacity for AI infrastructure across EU wholesale electricity markets and national capacity mechanisms, structuring utility partnerships and commercial agreements that prioritise speed-to-energisation and scale
Own utility and regulatory stakeholder management across multiple European jurisdictions, building strategic relationships with TSOs, DSOs, national regulators, and ACER to accelerate connection timelines and unlock constrained capacity
Drive energy markets and policy strategy for AI compute facilities, monitoring EU network codes, national grid codes and regulatory developments and engaging policymakers to address grid capacity challenges and expedite approval processes for critical infrastructure
Partner with engineering and delivery teams to translate energy market dynamics and network constraints into actionable capacity acceleration strategies that align procurement schedules with aggressive project timelines
Develop deep market intelligence on regional power availability across target European markets, transmission constraints, and connection queue dynamics to inform site selection and deployment strategy
Structure innovative commercial frameworks and partnership models — including PPAs, network use of system arrangements, and behind-the-meter solutions — that enable faster power delivery and mitigate grid capacity risks across Anthropic's European datacentre portfolio
You may be a good fit if you:
Have 15+ years of experience in energy procurement, utility development, or power markets for large-scale infrastructure projects, with substantial exposure to European energy markets across multiple jurisdictions
Have deep expertise in EU electricity markets (day-ahead, intraday and balancing markets), national capacity mechanisms, network connection processes, and transmission system planning (including ENTSO-E Ten-Year Network Development Plans and national network development plans)
Have experience securing 100+ MW of power capacity and navigating complex network connection agreements, Power Purchase Agreements (PPAs), or other offtake agreement structures in Europe
Are proficient in analysing energy market dynamics, regulatory frameworks (EU network codes, national grid codes and jurisdictional instruments), and grid constraints to inform strategic decision-making
Have strong stakeholder management skills and experience building relationships with TSOs, DSOs, national regulators (such as BNetzA, CRU, ACM, CRE, and others), ACER, policymakers and critical equipment vendors
Have excellent communication skills and can translate complex grid and regulatory dynamics into actionable business strategies for technical and non-technical audiences
Strong candidates may also have some of the following:
Past experience with energy procurement specifically for datacentres, high-performance computing, or AI/ML infrastructure
Familiarity with hyperscale infrastructure requirements and the unique power demands of large-scale AI training and inference workloads
Experience with regulatory affairs, energy policy advocacy, or engagement with national regulators, TSOs, ACER, ENTSO-E, and the European Commission (DG ENER) and national energy ministries
Background in transmission planning, grid connection studies (including grid code compliance and connection agreement processes), or grid capacity analysis under EU network codes and national grid codes
Understanding of emerging grid technologies (battery energy storage systems, demand response, virtual power plants, distributed energy resources) and how they can accelerate capacity delivery across European markets
Track record of structuring creative solutions to overcome grid constraints and compressed timelines in competitive power markets, including EU renewables acceleration areas / go-to areas and congested bidding zones and network regions
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:
£1
—
£1 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Ontario, CAN
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Sales Lead, Canada Public Sector at Anthropic, you'll drive the adoption of safe, frontier AI across the Canadian public sector. You'll leverage your deep understanding of Canadian government operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the Canadian public-sector market while maintaining the highest standards of security and compliance. This is a national role anchored in the National Capital Region, supporting the Government of Canada, provincial/territorial governments, Canada's national security and defence community, crown corporations, and the broader public sector.
Responsibilities:
Drive new business and revenue growth across the Canadian public sector, with the Government of Canada as the primary focus and provincial/territorial governments, crown corporations, and the broader public sector as secondary coverage, owning the full sales cycle from initial outreach through deployment
Navigate how the Government of Canada buys cloud and AI services, including software licensing supply arrangements, federal cloud brokering, resale through Canadian partners, consumption via cloud provider marketplaces, competitive tendering, and Indigenous procurement considerations
Build and maintain relationships with key decision-makers across the Government of Canada, including departmental Chief Information Officers and Chief Data Officers, senior program executives, central agency and procurement stakeholders, and mission owners, becoming a trusted advisor on AI capabilities and implementation
Develop and execute strategic account plans that align with departmental mandates and modernization initiatives, positioning Anthropic early in major programs to shape requirements before they are finalized
Navigate Canadian security and compliance requirements, including data classification levels, federal security control profiles, assessment and authorization, data-residency requirements, and personnel security clearances
Coordinate closely with cloud service providers and system integrators to ensure successful deployment and integration
Represent Anthropic at Canadian public-sector and partner events, including industry days, conferences, and cloud provider events, raising Anthropic's profile through speaking engagements and community engagement
Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet Canadian public-sector requirements, including responsible-AI obligations under the Treasury Board Directive on Automated Decision-Making and the Algorithmic Impact Assessment
Create and maintain sales playbooks specific to Canadian public-sector use cases and procurement processes
Generate pipeline and own territory and account planning across your assigned Canadian public-sector accounts, maintaining hands-on engagement with key accounts
Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements, engaging bilingually (English/French) with federal institutions and Quebec public-sector customers where required
You may be a good fit if you have:
7+ years of enterprise sales experience in the Canadian public sector, the majority selling to the Government of Canada, with a proven track record of driving adoption of emerging technologies
Deep understanding of federal department and agency mandates, challenges, and technology needs, with working knowledge of provincial/territorial and broader public-sector buyers
Demonstrated ability to balance strategic account leadership with hands-on sales execution
Familiarity with how the Government of Canada buys and secures cloud and AI services, with the judgment to navigate these processes alongside partners, capture, and deal teams
Strong track record of exceeding revenue targets and closing large, complex, long-cycle public-sector deals
Ability to be based in the National Capital Region, with travel across Canada as needed
Eligibility to obtain and maintain a Government of Canada personnel security clearance (Reliability Status; Secret an asset)
Executive presence and relationship-building skills across all levels, from technical teams to senior agency leadership (ADM/DG)
Proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators
Professional working proficiency in French, sufficient to support Quebec public-sector engagement and bilingual delivery of customer-facing material
Strategic thinking combined with attention to detail in execution
A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts
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:
$420,000
—
$495,000 CAD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United States
ClinChoice is a global full-service CRO committed to professional growth and a quality-driven “one-team” culture. We are seeking a
Principal Statistician
to join our in-house team and support projects across a diverse client portfolio, including pharmaceutical, biotechnology, medical device, and consumer health companies of varying sizes.
We are seeking a highly skilled
Principal Statistician
to lead statistical activities for clinical trials. This role requires hands-on statistical expertise, strong communication skills, and the ability to independently lead projects while collaborating closely with cross-functional teams.
Join our team: you can be part of making a difference in peoples' lives and experience a fulfilling and rewarding career!
Key Responsibilities
Lead and provide statistical support for clinical studies, primarily within
Oncology
Act as the
lead statistician
on assigned studies, overseeing statistical strategy and deliverables
Author and review key statistical documents, including:
Statistical Analysis Plans (SAPs)
Analysis Database Specifications (ADS)
Statistical sections of clinical study reports
Review and interpret analysis outputs, ensuring accuracy, quality, and regulatory compliance
Collaborate with cross-functional teams including Clinical, Programming, Data Management, and Regulatory
Provide guidance and oversight to statistical programmers as needed
Communicate statistical concepts, results, and risks clearly to both technical and non-technical stakeholders
Ensure adherence to regulatory standards (FDA, ICH, GCP) and company SOPs
Required Qualifications
MS or PhD in Statistics, Biostatistics, or a related field
Strong experience in Oncology studies
Hands-on experience writing:
Statistical Analysis Plans (SAPs)
Analysis Database Specifications
Reviewing and interpreting analysis results
SAS programming skills required
(hands-on or strong working knowledge)
Excellent
written and verbal communication skills
Experience working in a CRO and/or pharmaceutical/biotech environment
Preferred Qualifications
Experience leading Phase II–III clinical trials
Prior interaction with regulatory agencies
Experience mentoring junior statisticians or programmers
The Application Process
Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step. Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful.
Who will you be working for?
About ClinChoice
ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific.
Our Company Ethos
Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology. The success of these core values is evidenced by our below industry average turnover rates.
ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it.
#LI-TT1 #LI-Remote #LI-Principal #Permanent
Location: Tokyo, Japan
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Japan is one of the most sophisticated enterprise technology markets in the world, and one where partners, not vendors, typically own the customer relationship. The Head of Partnerships, Japan will build and lead the team that makes Anthropic's partner ecosystem the primary route to Japanese enterprise.
You will set the partner strategy for Japan, develop the team that executes it, and own the partner-sourced and partner-influenced pipeline, revenue and attach rate for the country. You will personally lead our most strategic partner relationships at the executive level while coaching your team to do the same across the GSI, regional SI, and reseller landscape.
This is a player-coach role for an experienced partner leader who has built and scaled partner businesses in Japan before, ideally for a US technology company entering or growing in the market. You will work day to day with the Japan sales leadership and the in-region Applied AI team, represent Japan within Anthropic's International Partnerships organisation, and carry the voice of Japanese partners and customers into our global product and go-to-market decisions.
Key responsibilities
Lead and build the team
Hire, develop and retain a high-performing Japan partner team spanning GSI, regional SI and reseller coverage, sized and structured to the market opportunity
Set clear goals, territories and partner portfolios for each team member, and hold the team accountable to pipeline, revenue and attach-rate outcomes
Establish the team's operating cadence: one-on-ones, weekly pipeline reviews, deal inspection, partner QBRs and quarterly business planning
Coach the team on executive engagement, joint business planning and co-selling in Japanese enterprise accounts, and model those behaviours personally
Set and own the Japan partner strategy
Define which partner segments, partners and motions Anthropic prioritises in Japan, and in what sequence, based on revenue potential, customer reach and strategic fit
Design the partner coverage model across our partner landscape (NTT DATA, Fujitsu, NEC, Hitachi, Accenture and others), and where we go deep vs. broad.
Localise Anthropic's global partner program for Japan, including tiers, incentives, enablement paths and rules of engagement, and feed Japan requirements back into the global program design
Own the annual and quarterly partner business plan for Japan and report on it to International Partnerships leadership
Lead our most strategic partnerships
Own the executive relationships with Anthropic's most consequential partners in Japan, from joint business planning through to board-level sponsorship on both sides
Negotiate and structure partnership agreements, including resale, co-development and revenue-sharing constructs, working with Legal, Finance and Deal Desk
Lead the creation of joint solutions and industry offerings with partner practices in manufacturing, financial services, retail, telecommunications, life sciences and the public sector
Own partner pipeline, revenue and attach rate
Carry the Japan partner-sourced and partner-influenced pipeline and revenue targets, and the partner attach-rate target, for the team
Run a disciplined forecast with the team and with Japan sales leadership, ensuring partner deals are registered, progressed and closed with predictability
Decide where to deploy partner investments (market development funds, enablement, co-marketing, headcount) for the highest return
Build the reporting and systems hygiene that gives International Partnerships and Anthropic leadership a clear, trusted view of the Japan partner business
Represent Japan and drive cross-functional execution
Act as the single point of accountability for the partner business in Japan with Japan sales leadership, the Applied AI organisation, Marketing, Legal and Product
Ensure Japanese partner and customer requirements, including language, data residency, security and sovereignty needs, are understood and prioritised by global product and engineering teams
Partner with the Japan sales leader to embed partners into account planning and co-selling for the country's priority accounts
Resolve channel conflict between direct sales, SIs and resellers, and set the rules of engagement that keep the ecosystem healthy as it grows
Be the face of Anthropic's partner ecosystem in Japan
Represent Anthropic at partner executive forums, industry conferences and analyst engagements related to the partner ecosystem
Sponsor the development of Japanese customer success stories, delivered with partners, that resonate with Japanese enterprise buyers
Build Anthropic's reputation as the partner-first AI company in Japan through the way your team shows up every day
Minimum qualifications
Experience in enterprise technology, with a substantial portion leading partner, alliances or channel businesses in Japan
People leadership experience over partner or alliance teams, with a track record of hiring, developing and retaining strong performers
Direct experience building a partner business in Japan for a US or global technology company, ideally through a period of rapid growth or market entry (hyperscaler, enterprise SaaS, data or AI platform)
Proven ownership of partner-sourced and partner-influenced revenue targets at a country or regional level, with the forecasting discipline to match
Established executive relationships with Japan's major system integrators, consulting firms, and a reputation they would vouch for
Experience negotiating complex partnership structures: resale agreements, joint solution development, and revenue-sharing or incentive models
Demonstrated ability to operate as a player-coach, personally owning strategic relationships while building a team that scales beyond you
Comfort shaping strategy in ambiguity and turning it into an operating plan, while working closely with global teams in other time zones
Business-level fluency in Japanese and English, and the cultural fluency to move between Japanese enterprise norms and a fast-moving US company
Based in Tokyo
Preferred qualifications
15 to 20+ years in enterprise technology leading partner, alliances or channel businesses in Japan and 5+ years of people leadership over partner or alliance teams
Experience with AI, data or cloud platform partnerships specifically, including partner-built solutions and marketplace motions
Experience on the partner side, inside a Japanese SI or distributor, and an understanding of how those organisations make decisions
Experience localising a global partner program for Japan and influencing its design
Experience working alongside professional services or applied AI teams to deliver partner-led customer outcomes
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
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headTokyo, Japan; Comfort shaping strategy in ambiguity and turning it into an operating plan, while working closely with global teams in other time zones