Zexter is an ambitious product company building its own technological ecosystem in the iGaming industry. They develop a proprietary platform that is live and actively operating, continuously expanding their product portfolio to adapt quickly to market demands and introduce new innovations.
Requirements:
— 4+ years of commercial backend development experience with Node.js and TypeScript.
— 4+ years of hands-on production experience with PostgreSQL and other relational databases.
— Strong SQL expertise including query optimization for high-load systems, index design and performance analysis, transaction management and concurrency control, and identifying and resolving database performance bottlenecks.
— 3+ years of commercial experience with NestJS.
— Excellent understanding of Dependency Injection, modular application architecture, Clean Architecture and software design principles, REST API design, and backend service architecture.
— Experience developing and maintaining high-load production systems.
— Solid experience with automated testing (unit/component and integration tests).
— Experience with load and performance testing, including bottleneck identification and validating system behavior under heavy traffic.
— Experience working on systems where financial accuracy, idempotency, transaction consistency, and auditability are critical.
— Ability to write clean, maintainable, testable, and well-structured code.
— Strong ownership mindset, taking responsibility for features from implementation and testing through deployment, monitoring, and production incident resolution.
— Strong communication skills to clearly explain technical decisions, implementation details, and associated risks.
— Ability to work effectively under deadlines and independently prioritize tasks.
— Experience with code reviews, debugging, logging, monitoring, and production incident investigation.
iGaming Experience:
— Commercial experience in the iGaming industry.
— Experience developing or maintaining backend systems for online casinos, sports betting, gaming platforms, wallets, payment systems, or transaction processing.
— Experience integrating third-party game providers, payment gateways, or other external services.
— Ability to investigate and resolve discrepancies in financial data, transactions, and provider integrations.
— Strong understanding of reliability, security, and data consistency requirements of production iGaming systems.
Nice to Have:
— Practical experience using AI-powered developer assistants (Cursor, Claude, or similar).
— Experience with Redis, message queues, background jobs, and event-driven architecture.
— Experience with Docker, Kubernetes, CI/CD pipelines, and cloud infrastructure.
Conditions:
— Work format: Fully remote.
— Compensation: Negotiable based on experience.
— Growth: Opportunity to work with a modern technology stack, a strong engineering team, minimal bureaucracy, and AI-powered development tools that help eliminate routine work.
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 Low-level Control Engineer to join our Control Team in London, focusing on control development and integration for our end-effectors.
You will design, implement and validate actuator- and joint-level controllers and grasp-level behaviours across a family of end-effector variants - parallel and multi-finger grippers, vacuum and suction tooling, and purpose-built tooling for specific customer tasks. Each variant brings different actuation, different sensing and, critically, different transmission mechanisms: geared direct drives, cable- and tendon-driven routings, differential and coupled linkages, and underactuated designs where few actuators must produce adaptive, compliant grasping across many degrees of freedom.
The ideal candidate has a solid background in control theory, strong software engineering skills in C++, and comfort working from real-time embedded control up through kinematics/dynamics and hardware debugging. You will work closely with mechanical and hardware engineers - early enough in the design cycle that your input shapes actuation and transmission choices rather than merely inheriting them.
WHAT YOU'LL DO
Low-Level Control Development:
- Tune and validate actuator- and joint-space control loops (PID, feedforward, impedance/admittance, observers, state feedback) for multi-DoF end-effectors in ROS2.
- Develop grasp-level behaviours: grasp force control, compliant closing, slip detection and correction, and adaptive grasping on underactuated grippers.
- Implement safety and fault-handling mechanisms — thermal and over-current protection, stall and jam detection, grip-loss detection, safe behaviour on fault.
Transmission Mechanisms, Modeling & System Identification:
- Build and identify models of actuators, transmissions and mechanisms - geared, cable/tendon-driven, differential, coupled and underactuated - including compliance, friction, backlash, hysteresis, cable stretch and pretension effects.
- Own the joint-to-actuator abstraction for these mechanisms and the correct exposure of joint versus actuator state through the control stack.
- Contribute directly to transmission mechanism design: work with mechanical engineers on routing, reduction ratios, DoF coupling and underactuation strategy, bringing the controllability and observability consequences of each option into the conversation early.
Sensor & Hardware Integration:
- Integrate and calibrate end-effector sensing (F/T, tactile, encoders, temperature/current, vacuum feedback) with real-time acquisition across the control stack.
- Hands-on bring-up and debugging of new end-effectors, including test-stand work and vendor-supplied units.
Cross-Disciplinary Collaboration:
- Close the loop with mechanical/electronics engineers across sites on actuation, transmission and sensing requirements.
- Work with data collection, applications and deployment teams so end-effectors work reliably in real use.
WHAT WE'RE LOOKING FOR
- Shipped real-time-safe, object-oriented C++ control software running on real hardware.
- Tuned and validated controllers on physical actuators, including sensor calibration and bring-up.
- Modelled, identified and controlled through real mechanical transmissions - gearing, cables/tendons, differentials, coupled linkages or underactuated mechanisms - and dealt with the compliance, friction and backlash they introduce.
- Worked on end-effectors or comparable multi-DoF mechanisms, including grasp control and supporting sensing.
- Debugged at the fieldbus and OS layer: e.g. EtherCAT or CAN, on an RTOS or real-time Linux.
- Strong control theory foundation (linear/nonlinear control, stability, observers, state estimation, feedback/feedforward, filtering, frequency-domain analysis) applied to multi-DoF mechanisms via Jacobians, numerical IK/FK, and URDF/Xacro.
Nice to have:
- BLDC motor control (commutation, current control, torque optimization).
- ros2_control internals (hardware interfaces, controllers, controller_manager, plugins, lifecycle nodes).
- Tendon- or cable-driven mechanisms specifically, including pretension management, routing friction and wear behaviour.
- Tactile sensing integration; vacuum and suction tooling, including multi-cup arrays and grip-loss handling.
- System identification toolchains and simulation environments (MATLAB/Simulink, MuJoCo, Isaac Sim).
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: India; Serbia; Croatia; Spain; Italy
Our Client's Digital Finance IT is building an AI-enablement layer on top of our enterprise data platform to enable business users across Finance to interact with governed data in natural language. We're hiring a
Data Enablement Engineer
to design, build, and operate the trusted datasets, semantic models, and embedded AI experiences that make this possible. This is a data platform engineering role, not a data science or model-building role. You will spend your time engineering the data foundation that makes AI reliable — semantic layers, governed data products, and embedded natural-language analytics — not training models.
What You'll Do
Design and build AI-ready data products on Databricks — trusted datasets with well-defined business semantics, KPIs, hierarchies, and business glossary alignment
Implement semantic layers and governed datasets that support both traditional BI consumption and natural-language querying by business users
Deploy and operate Databricks Genie spaces with Unity Catalog, tuning them for accuracy, adoption, and business relevance
Build RAG pipelines and conversational analytics applications grounded in governed enterprise data — including Streamlit or Databricks Apps that let business users query data without writing SQL
Engineer robust ETL/ELT pipelines (dbt, Airflow, PySpark) that produce and maintain the trusted data these AI experiences depend on
Implement data governance — RBAC, row/column-level security, masking, lineage, auditability, catalog and metadata management — in a regulated pharma environment
Optimize cost and performance on both the data platform side (warehouse sizing, cluster tuning, query optimization) and the AI side (token usage, caching, model routing)
Partner with Finance business stakeholders to translate domain requirements into semantic models and governed data products they can trust
Requirements
Must-Have Experience
5+ years hands-on data engineering on cloud data platforms — Databricks demonstrated in real project delivery, not skill-list-only
Direct hands-on experience with Databricks Genie — you have built, configured, and tuned these in production or advanced pilots, with specific reference to the flavors used (Genie spaces with semantic models)
Semantic layer / trusted data product delivery — you have built governed datasets that business users can rely on, with KPI definitions, hierarchies, and business glossary alignment
dbt, PySpark, SQL, Python — strong across the modern data stack
Orchestration with Airflow, Databricks Workflows, or equivalent
Data governance in regulated environments — RBAC, RLS, masking, lineage, auditability
Experience integrating structured and unstructured data (PDFs, SharePoint/Teams content, enterprise knowledge sources) into AI-enablement workflows
Nice to Have
Pharma, life sciences, or regulated financial services domain experience
Veeva CRM, IQVIA, SAP, or clinical data source integration
Streamlit or Databricks Apps for business-facing analytics
Databricks Data Engineer Professional certification
LangChain, LlamaIndex, or equivalent RAG frameworks
Cost optimization on both compute (warehouse/cluster) and LLM (tokens/caching/routing) dimensions
What We're NOT Looking For
Data Scientists
— this role is not model training, fine-tuning, LoRA/RLHF, or ML research
Pure Data Engineers
who list Cortex or Genie as a skill but haven't shipped it in production
AI/GenAI engineers
whose center of gravity is LangChain agents or RAG-over-documents, without a strong governed data platform foundation
Computer vision, NLP model builders, or multi-agent orchestration specialists
— wrong shape for this role
Location: Atlanta, GA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
ABOUT THE ROLE
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with customer engineering teams
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Run technical demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
WHAT YOU’LL BRING
- 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
- Strong Python, JavaScript and systems fundamentals
- Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
- Can explain technical tradeoffs clearly and build trust with developer audiences
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about operating AI agents in production, not just building demos
NICE TO HAVE’S:
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
COMPENSATION
Annual OTE range: $150,000–$250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: San Francisco, CA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Safeguards organization builds the policies, evaluations, and enforcement systems that define and hold the limits on how Claude can be used. In this role, you'll own our conventional weapons work.
Defining a crisp boundary between acceptable and harmful requests in this domain is difficult, because the underlying components are dual-use: the same capabilities that serve civilian engineering and research can also contribute to a weapons system. Building the threat models, evaluations, and detection systems that hold that boundary is the core of this role.
Conventional weapons are increasingly defined by software, and the risks reach well beyond firearms: from a model operating a weapons system or writing guidance code, to the weaponization of dual-use platforms. The role spans every weapon class, up to autonomous systems that select and engage targets without human authorization.
You will help define the line between prohibited weapons development and legitimate research and engineering work, and how to operationalize the distinction. This will include translating technical judgment into principles that engineers can implement and enforcement teams can act on.
Key responsibilities
Own and maintain Anthropic's conventional weapons policy, defining the boundary between the activities our models should and should not support
Build the threat models and evaluations that measure how our models could contribute to weapons development, including the software and autonomy components that define modern weapons systems, and keep them current as the technology and its misuse evolve
Partner with engineering to turn the policy into model guardrails, detection systems, and enforcement tooling
Serve as the subject-matter expert for escalations involving conventional weapons content, including rapid response to emerging risks
Build shared understanding of the policy across product, engineering, legal, and leadership, communicating its reasoning to technical and non-technical audiences
Engage external experts as well as government and industry partners, and translate that engagement into stronger policy and enforcement
Minimum qualifications
Have deep, applied expertise in weapons systems and can translate complex technical evidence into sound policy judgments
Experience in a relevant setting, such as a service research laboratory, a defense research or innovation agency, or a company that designs or builds weapons systems
Can write clear, operationally precise policy and explain complex technical topics to non-specialist audiences
Understand the legal frameworks governing weapons and their transfer, and can craft policy that holds up across jurisdictions
Can do rigorous technical analysis of weapons systems using only open sources
Are comfortable with ambiguity and drawn to problems that have no established playbook
Are motivated by preventing misuse without obstructing the legitimate work in the field
Preferred qualifications
A working understanding of machine learning and large language model fundamentals
Hands-on engineering experience in a weapons-relevant technical domain, such as systems engineering, robotics and autonomy, guidance/navigation/control, sensors and signal processing, aerospace or mechanical engineering, materials and energetics, or embedded software
Hands-on experience applying arms export controls (ITAR/EAR) or international arms-control regimes
Experience building or evaluating classifiers, including LLM-based ones, and reasoning about precision and recall for rare, high-consequence categories
Trust & safety or product policy experience at a technology platform
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$245,000
—
$285,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote - US; Boston, MA; New York, NY
Workplace: Remote
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE:
This role can be based remotely in the U.S. Ideally SF, NYC, or Boston.
LangChain is building the infrastructure that powers the next generation of AI applications. Our tools are used by thousands of developers and teams to build, debug, and ship production-grade LLM-powered products.
As our product surface area grows, so does the need for a cohesive, scalable, and high-quality UI foundation. That’s where Design Systems comes in. We’re looking for a Design Systems Engineer to help build, own, and evolve LangChain’s component library—the foundation that our frontend teams rely on to ship fast without sacrificing quality, accessibility, or consistency.
This role sits at the intersection of Design and Engineering. You’ll work closely with designers, product engineers, and platform teams to turn design intent into robust, reusable components and tooling that scale across the product.
You’ll have ownership, influence, and your work will be directly consumed across LangChain’s products.
WHAT YOU'LL DO:
- Build out LangChain’s component library
- Design and implement reusable, composable React components that are flexible, accessible, and production-ready
- Partner closely with designers to translate design systems, tokens, and interaction patterns into code
- Build reliable UI quality systems
- Develop design system tooling and improve workflows around theming, tokens, versioning, testing, and component discovery (e.g. Storybook)
- Make thoughtful architectural decisions that enable accessibility, performance, consistency, and maintainability across LangChain’s UI stack
- Improve UI build and test workflows
- Optimize build performance, bundling strategy, and package versioning for the component library
- Maintain tooling for testing, dependency management of the UI app
WHAT YOU'LL BRING:
- Extensive experience building modular, composable, and well-documented component libraries and/or design systems
- Deep knowledge of React, TypeScript, HTML, and CSS, familiarity with: styling approaches (CSS Modules, CSS-in-JS, Tailwind, Sass, etc.) and design system toolings (Storybook, Chromatic, tokens pipelines, etc.)
- Experience collaborating closely with designers and non-engineering partners
- Strong attention to detail and a high bar for craft and genuine passion for accessibility and inclusive design
- Familiarity with testing UI components and visual regression testing
Annual salary range: $180,000 - $240,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Boston, Massachusetts, United States; Pawtucket, Rhode Island, United States
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Reliable workplace technology enables teams to do their best work. This role focuses on maintaining and improving that reliability across devices, collaboration systems, and workplace technology environments.
The Workplace Technology Support Engineer - Executive Support helps maintain the stability, performance, and continuous improvement of workplace technology across the organization, with a main focus on our executive leadership team. This will serve as the main point of contact for issues in the executive space. The role
will need to be available to travel
to support events, shows, presentations, and calls.
You'll work closely with platform engineering, security, networking, and other internal teams to diagnose advanced issues, maintain operational standards, and translate recurring problems into scalable solutions through standardization, documentation, automation and AI-assisted operational improvements!
Effective from the date that Hasbro opens its new Boston location, this position will be onsite Monday – Friday at Hasbro’s new HQ location in Boston, MA. In the interim, this position will be onsite Monday – Friday at Hasbro’s HQ in Pawtucket, RI.
What You'll Do
Executive Support
Primary technology support resource for executives and senior leadership, delivering responsive, high-touch technical support across office, remote, and travel environments.
Provide white-glove support for executive workstations, laptops, mobile devices, collaboration platforms, and workplace technologies while maintaining exceptional customer service and professionalism.
Prepare, test, and support executive presentations, conference rooms, audiovisual systems, and collaboration technologies before and during executive meetings, board meetings, town halls, and other high-visibility business events.
Provide onsite technology support for executive meetings, leadership events, and company presentations, ensuring technology operates reliably with minimal disruption.
Travel will be required
to support executives at corporate offices, leadership meetings, conferences, board meetings, company events, and other business engagements.
Partner closely with Executive Assistants, Facilities, Security, Audio Visual teams, and Workplace Technology teams to coordinate technology requirements and deliver seamless executive experiences.
Resolve complex executive technology issues involving endpoint devices, mobile devices, conferencing platforms, audiovisual systems, networking, and workplace technologies with urgency and discretion.
Maintain strict confidentiality while supporting executive devices, meetings, communications, and sensitive business information.
Anticipate executive technology needs by proactively validating equipment, meeting spaces, presentations, and collaboration technologies prior to critical meetings and events.
Act as the primary escalation point for executive technology issues, balancing executive priorities with broader operational responsibilities while maintaining a high level of responsiveness.
Workplace Technology Support
Partner with stakeholders across the organization to understand business needs, explore new ideas, and help design practical technology solutions that improve productivity and workplace experience.
Provide guidance and recommendations that help teams implement effective, scalable solutions and automation opportunities aligned with workplace technology standards, including specialized or non-standard use cases.
Provide in-person and remote technical support for employees across the organization covering the United States, Canada, UK, India, and Japan.
Resolve complex issues involving devices, operating systems, computer hardware, mobile devices, VPN connectivity, printers, networking, peripherals, AI-powered workplace tools and workplace technologies that extend beyond standard support workflows.
Advanced issue resolution for the Global Service Desk, shaping global processes and procedures, and establishing documentation and runbooks that drive consistent procedure and practices across regions.
Investigate advanced issues, act as a point of contact for complex problems, provide technical guidance, identify recurring issues and automate resolution while focusing on improving resolution quality.
Deliver clear communication and practical automation-focused solutions that help employees stay productive.
Support and solve enterprise AI platforms and AI-enabled workplace technologies, raising issues and partnering with engineering teams when necessary.
Endpoint Reliability & Device Lifecycle
Design, configure, and support complex or custom hardware builds to meet specialized performance and workflow requirements, particularly for engineering and digital gaming studio environments.
Proactively monitor endpoint health and analyze trends in device performance, reliability, and recurring issues to drive improvements through automation where appropriate.
Drive improvements to standardize workflows and implement automation, scripting, and AI-assisted solutions to improve consistency, reduce manual effort, and enhance operational effectiveness.
Configure, deploy, and maintain company equipment, including laptops, desktops, and mobile devices, to ensure they meet security, compliance, and operational standards.
Support device lifecycle activities including provisioning, upgrades, hardware replacements, and secure decommissioning.
Maintain consistency in supported hardware, operating systems, and workplace technology standards.
Lead long-term improvements by addressing root causes and implementing scalable automation-enabled solutions.
Collaboration & Workplace Technology Partnerships
Partner with teams, including our digital gaming studios, to understand requirements and deliver reliable and scalable workplace technology solutions, including onboarding new processes and procedures, supporting specialized workflows, providing consultation on hardware, software, and user experience solutions, and aligning technology solutions to business goals and technical standards.
Support conference room systems, collaboration tools, printers, and workplace peripherals used across office environments.
Ensure workplace technology systems operate reliably for meetings, events, and day-to-day collaboration.
Support offsite events and shows as needed (travel required).
Assist teams in onboarding to new technologies, processes, and procedures by providing guidance, documentation, and hands-on support to ensure successful adoption.
Build strong partnerships across business teams to understand evolving needs and help translate ideas into scalable workplace technology solutions.
Act as a liaison between end users, Global Service Desk, and engineering teams to support change, improvements, and adoption of new technologies.
Support internal partners in bringing their ideas to life by providing guidance on process, procedure, and alignment with existing systems.
Support technology rollouts, device refresh initiatives, automation initiatives, and workplace experience improvements.
Provide feedback to engineering and platform teams to improve the usability, reliability, and performance of workplace systems.
Cross-System Ownership
Take ownership of complex or high-impact issues, leading investigation and resolution across multiple technology domains.
Investigate and resolve issues that span multiple technology layers including endpoint configuration, device management platforms, authentication systems, VPN and network connectivity, and workplace infrastructure.
Recognize patterns across incidents and identify when issues represent broader systemic challenges.
Drive coordination with engineering, security, and infrastructure teams to implement durable fixes.
Operational Improvement, Documentation & Automation
Identify recurring issues, trends, and inefficiencies, and translate them into standardized solutions, improved workflows, or automation opportunities.
Design and drive scalable support approaches, including repeatable workflows, playbooks and automated processes, that improve consistency and enable broader teams to resolve issues effectively.
Maintain and evolve these playbooks based on recurring issues, ensuring knowledge is continuously refined and shared across support teams.
Create and maintain clear, structured documentation in Confluence, including troubleshooting guides, operational procedures, and knowledge base articles.
Partner with the Global Service Desk to share knowledge, improve workflows, identify automation opportunities and increase overall support effectiveness.
Promote consistent support practices and ensure alignment in how common issues are handled across teams through standardized workflows and approaches.
Assist in evaluating, testing, and validating automation solutions, endpoint analytics tools, and AI-assisted support and troubleshooting capabilities.
Proactively improve support operations by reducing manual effort and increasing consistency across common issue types.
What You'll Bring
Experience in the dedicated Executive Support space
3+ years of experience supporting enterprise desktop environments or workplace technology systems.
Experience with Windows and macOS operating systems, including hardware, peripherals, and mobile device support.
Experience supporting collaboration tools, productivity platforms, and workplace technology environments.
Familiarity with endpoint management tools or enterprise IT management platforms.
Working knowledge of networking fundamentals including DNS, Wi-Fi, VPN connectivity, and authentication workflows.
Experience using service management platforms such as ServiceNow or similar tools.
Ability to analyze sophisticated technical issues, identify root causes, and communicate solutions clearly.
Strong documentation skills and a history of creating runbooks, playbooks, or knowledge base articles.
Experience identifying trends, improving processes, or building automation initiatives is preferred.
Core Requirements
Demonstrates strong diagnosing and problem-solving skills across workplace technology environments, including hardware, operating systems, and network connectivity.
Owns complex technical issues through resolution, including cross-team coordination when required.
Owns the reliability and consistency of endpoint and workplace technology systems.
Identifies patterns, trends, and opportunities for improvement, including automation and process optimization.
Produces clear documentation and knowledge resources that enable scalable support and knowledge transfer.
Collaborates effectively across teams while maintaining accountability for outcomes.
In compliance with local law, we are disclosing the compensation range for this role. The range listed is just one component of Wizards of the Coast’s total compensation package for employees. Employees may also be eligible for annual and long-term incentives. In addition, Wizards of the Coast provides a variety of benefits to employees. Here’s a look at what your benefits package may include: Medical, Dental & Vision Insurance, Paid Vacation Time & Holidays, Generous 401(k) match, Paid Parental Leave, Volunteer Program, Employee Giving & Matching Gifts Programs, Tuition Reimbursement, Product Discounts, and more.
Wizards is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
The above is intended to describe the general content of and the requirements for satisfactory performance in this position. It is not to be construed as an exhaustive statement of the duties, responsibilities, or requirements of the position.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you are selected to move forward in our application process and need to request an accommodation, please let your recruiter or coordinator know.
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$91,100
—
$136,700 USD
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: Renton, Washington, United States
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Job Overview
We are looking for a Senior Software Development Engineer to join our Business Systems Engineering (BSE) organization. We build the platform and applications that power the creation and production of Magic: The Gathering®, Dungeons & Dragons®, and Duel Masters®. These products drive over $2 billion in annual revenue and are beloved by millions of players worldwide. The systems we build are what make that work possible.
This is a role with high impact and real stakes. You'll set technical direction, shape engineering culture, and lead others while staying hands-on. You'll work on the cutting edge of AI-driven software development, pairing technical excellence and engineering discipline with AI-accelerated delivery ensuring quality, reliability, and long-term maintainability. We're on a journey to make history, and we want you to help lead it!
If you're motivated by ownership, care deeply about the craft, and want to build something that matters — join the party.
Location and Work Arrangement
This role is based at our Renton, Washington office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays.
What You'll Do
Design and develop services and applications on AWS that are core to our product creation platform.
Champion engineering standards across the organization, resulting in effective system design at both the application and service level.
Leverage and enhance our AI-assisted development tooling, continuously improving the practices, review standards, and quality gates that keep AI-accelerated delivery reliable and maintainable.
Own technical decisions end-to-end: assess tradeoffs, align partners, drive execution, and follow through without waiting to be asked.
Translate business challenges into well-designed, scalable software solutions in partnership with product owners and cross-functional partners.
Influence and build up your teammates through technical direction, and code and design reviews, supporting their growth and career development.
What You'll Bring
8+ years of software engineering experience, with 2+ years in a lead, staff, or senior+ capacity.
Proven track record building and operating production-grade enterprise software. Deep understanding of application and distributed system design and architecture patterns.
Hands-on experience with AI-assisted development workflows and the judgment to critically evaluate AI-generated code against production quality standards.
Proficiency in C#/.NET, Java, Go or comparable languages, AWS, Docker/Elastic Container Service (ECS)/Elastic Kubernetes Service (EKS), CI/CD pipelines, REST APIs, event-driven systems, and relational database design.
A history of influencing engineers through pairing, feedback, and driving technical excellence among your team.
A strong sense of ownership and the communication skills to drive outcomes across technical and non-technical partners.
Bachelor's degree in Computer Science, Information Technology, or equivalent professional experience.
What Sets You Apart
Experience with React.js or other popular frontend frameworks.
Familiarity with event streaming platforms (e.g., Kafka, AWS Simple Notification Service (SNS)/Simple Queue Service (SQS)).
Experience with Kubernetes, Terraform, or infrastructure-as-code practices.
Curiosity about or knowledge of Wizards brands.
Who We Are
We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all.
Hasbro
About the Company – Hasbro
Wizards of the Coast
Who We Are – Wizards of the Coast
Equal Opportunity
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
Accommodations
If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process.
Notice Regarding Hasbro’s use of AI in the Recruitment Process
We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.
How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review.
Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions.
Greenhouse has published the results of an independent bias audit of Talent Matching.
View the Greenhouse Talent Matching audit results
.
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$144,100
—
$216,100 USD
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: Renton, Washington, United States
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Job Overview
We are looking for a Senior Software Development Engineer to join our Business Systems Engineering (BSE) organization. We build the platform and applications that power the creation and production of Magic: The Gathering®, Dungeons & Dragons®, and Duel Masters®. These products drive over $2 billion in annual revenue and are beloved by millions of players worldwide. The systems we build are what make that work possible.
This is a role with high impact and real stakes. You'll set technical direction, shape engineering culture, and lead others while staying hands-on. You'll work on the cutting edge of AI-driven software development, pairing technical excellence and engineering discipline with AI-accelerated delivery ensuring quality, reliability, and long-term maintainability. We're on a journey to make history, and we want you to help lead it!
If you're motivated by ownership, care deeply about the craft, and want to build something that matters — join the party.
Location and Work Arrangement
This role is based at our Renton, Washington office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays.
What You'll Do
Design and develop services and applications on AWS that are core to our product creation platform.
Champion engineering standards across the organization, resulting in effective system design at both the application and service level.
Leverage and enhance our AI-assisted development tooling, continuously improving the practices, review standards, and quality gates that keep AI-accelerated delivery reliable and maintainable.
Own technical decisions end-to-end: assess tradeoffs, align partners, drive execution, and follow through without waiting to be asked.
Translate business challenges into well-designed, scalable software solutions in partnership with product owners and cross-functional partners.
Influence and build up your teammates through technical direction, and code and design reviews, supporting their growth and career development.
What You'll Bring
8+ years of software engineering experience, with 2+ years in a lead, staff, or senior+ capacity.
Proven track record building and operating production-grade enterprise software. Deep understanding of application and distributed system design and architecture patterns.
Hands-on experience with AI-assisted development workflows and the judgment to critically evaluate AI-generated code against production quality standards.
Proficiency in C#/.NET, Java, Go or comparable languages, AWS, Docker/Elastic Container Service (ECS)/Elastic Kubernetes Service (EKS), CI/CD pipelines, REST APIs, event-driven systems, and relational database design.
A history of influencing engineers through pairing, feedback, and driving technical excellence among your team.
A strong sense of ownership and the communication skills to drive outcomes across technical and non-technical partners.
Bachelor's degree in Computer Science, Information Technology, or equivalent professional experience.
What Sets You Apart
Experience with React.js or other popular frontend frameworks.
Familiarity with event streaming platforms (e.g., Kafka, AWS Simple Notification Service (SNS)/Simple Queue Service (SQS)).
Experience with Kubernetes, Terraform, or infrastructure-as-code practices.
Curiosity about or knowledge of Wizards brands.
Who We Are
We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all.
Hasbro
About the Company – Hasbro
Wizards of the Coast
Who We Are – Wizards of the Coast
Equal Opportunity
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
Accommodations
If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process.
Notice Regarding Hasbro’s use of AI in the Recruitment Process
We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.
How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review.
Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions.
Greenhouse has published the results of an independent bias audit of Talent Matching.
View the Greenhouse Talent Matching audit results
.
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$144,100
—
$216,100 USD
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: Seoul, South Korea
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 Channel Partner Manager for Korea, you will be responsible for building, managing, and scaling strategic partnerships with both System Integrators (SIs) and resellers to accelerate the adoption of our solutions in the Korean market. You will work at the intersection of cutting-edge technology and Korea's unique business ecosystem, helping partners integrate our products into their solution portfolios and joint go-to-market strategies.
As a Channel Partner Manager, you will focus on growing the partner Anthropic reseller and services business in Korea and achieving quarterly revenue and partner attach targets through new customers and upsells. You'll be the local owner of these partner relationships in Korea. Our partners will look to you for everything that makes the channel work day to day from initial onboarding to deal registration, enablement, billing and contracting questions, escalations. Our internal teams will look to you for what is happening in the market, how partners are driving new opportunities and growth within existing customers. You'll work closely with the local sales team and the central program team, co-selling on partner-sourced and partner-influenced opportunities and managing direct versus partner conflict as deals arise. Strong business creation skills are needed to identify joint value propositions and explore co-selling models. Much of the process for running the channel in Korea doesn't exist yet, and building it will be a large part of the job in the first year. While revenue contribution is the key metric, building scalable partner engagement and executing joint initiatives are crucial for consistent growth.
This is an early role in a new market for a program we expect to grow well beyond its first two countries. The habits you establish with our first partners in Korea will shape how the program works everywhere else.
Key responsibilities
Own the day-to-day relationships with Anthropic's strategic resellers and system integrators in Korea, acting as their primary local point of contact, including billing, contracting and general queries
Own deal registration and pipeline discipline with partners, making sure registrations are submitted and validated, conflicts are cleared, and named end-customer reporting is complete on every deal
Forecast and report partner pipeline and performance against the quarterly revenue and partner attach targets, and own the Korea channel number with the central program team
Negotiate resale agreements and commercial terms with partners alongside the central program team and Legal
Co-sell with the local account team on partner-sourced and partner-influenced opportunities, and manage direct versus partner conflict as deals arise
Develop and execute business plans with System Integrators and strategic resellers to drive mutual growth and revenue targets
Build and maintain executive-level relationships within Korean partner organizations, navigating complex organizational structures and decision-making processes
Support partner onboarding end to end, from diligence and agreement execution through readiness ahead of launch, including for partners who join the program after launch
Coordinate partner certification and enablement with the central enablement lead, including Korean-language delivery and ongoing recertification
Manage Anthropic's counterpart relationships with the cloud hyperscalers AWS, Google Cloud and Microsoft Azure in Korea, including the Marketplace private offer motion that reseller deals run through
Work with the central program team on program governance, margin mechanics, and escalations, and build the local processes and working rhythms the channel needs where none exist yet, feeding what you learn from partners back to the program team
Run regular business reviews and QBRs with each partner against the joint plan
Own partner co-marketing in Korea, agreeing a joint marketing plan with each partner and Channel Marketing, funding it through MDF where it qualifies, and delivering the announcements, campaigns, webinars and events that turn the partnership into pipeline
Minimum qualifications
Experience managing channel or reseller partner relationships in enterprise software or cloud
Experience working with large Korean systems integrators or cloud managed service providers, and an understanding of how partner-led selling works in Korean enterprise, public sector, and financial services accounts
Working knowledge of channel program mechanics such as deal registration and partner tiering
Full professional fluency in Korean and professional working proficiency in English, written and spoken, including the ability to deliver enablement to partners in Korean
Comfort joining a new program early: hands-on, structured, and able to build process where none exists yet
Are excited about Anthropic's mission to develop AI that is safe and beneficial
Preferred qualifications
Experience with cloud marketplace resale, particularly AWS Marketplace private offers, or with AWS partner teams more generally
Familiarity with margin and rebate mechanics in a partner program
Experience bringing existing, informal partner activity into a structured program, or joining a partner program at or before launch
Experience on the systems integrator or managed service provider side of a vendor relationship, as well as the vendor side
Familiarity with how enterprises and public sector organizations in Korea are evaluating and adopting AI
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Zürich, CH
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
The Detection & Response (D&R) team protects our systems, users, and data from security threats. We're looking for a Technical Program Manager to own and grow incident management within D&R. This is a senior specialization on the Technical Program Manager ladder, focused on how we detect, respond to, and learn from security and operational incidents.
You'll own our incident response lifecycle, from detection and triage through containment, remediation, and post-incident review. Some of the highest-impact work happens after the immediate response: gathering data on incident trends, reporting on patterns and root causes, and working across engineering, security, infrastructure, and product teams so that broad fixes and systemic improvements actually get implemented.
Beyond managing incidents, you'll make sure the organization learns from them and gets better each time.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
The Detection & Response (D&R) team plays a critical role in protecting our systems, users, and data from security threats. We’re looking for an experienced Technical Program Manager to own and evolve incident management within D&R. This is a senior-level specialization on the Technical Program Manager ladder, focused on how we detect, respond to, and learn from security and operational incidents.
You’ll be the driving force behind maturing and scaling our incident response lifecycle—from detection and triage through containment, remediation, and post-incident review. Critically, some of the highest-impact work in this role happens after the immediate response: gathering data on incident trends, reporting on patterns and root causes, and working cross-functionally across engineering, security, infrastructure, and product teams to ensure that broad fixes and systemic improvements are actually implemented.
You won’t just manage incidents—you’ll make sure we get meaningfully better after each one.
Responsibilities
Own the end-to-end D&R incident management program: detection workflows, response processes, escalation paths, communication standards, and remediation tracking.
Serve as incident commander for security incidents, driving clear coordination across executive, engineering, security, legal, and other appropriate stakeholders.
Establish and run incident commander rotations within D&R, ensuring clear ownership and effective coordination during incidents of varying severity.
Drive post-incident accountability by defining how action items are captured, assigned, tracked, and completed across teams—ensuring follow-through on both tactical fixes and strategic improvements.
Gather, analyze, and report on incident trends and patterns to surface systemic risks, recurring root causes, and areas where the organization is most vulnerable.
Translate trend analysis into actionable cross-functional initiatives: partner with engineering, infrastructure, security, and product teams to prioritize and implement broad fixes and preventive improvements that address root causes rather than symptoms.
Lead incident review forums (post-mortems, retrospectives) and ensure learnings are captured, socialized, and acted upon across the organization.
Develop and maintain D&R incident response documentation, playbooks, runbooks, and training materials; keep them current as the threat landscape and our systems evolve.
Partner with detection engineering to improve alert fidelity, reduce noise, and shorten time-to-detection for security events.
Define, develop, and track incident management KPIs and report regularly to D&R and Security leadership.
Support broad cross-functional training and initiatives to uplevel security awareness across the company (e.g. Tabletop exercises, training, talks).
You may be a good fit if you:
Have 7+ years of experience in technical program management, incident management, or security operations, with significant time spent in a detection & response or security incident response context.
Have led or built incident response programs at a technology company, ideally in a high-growth or security-intensive environment.
Have a demonstrated track record of turning incident data into organizational improvements—not just writing post-mortems, but driving the cross-functional work to implement systemic fixes.
Are comfortable participating in on-call responsibilities and leading incident response during high-severity security events, including off-hours.
Have experience building and scaling operational processes from the ground up in environments where structure didn’t previously exist.
Excel at driving accountability and follow-through across multiple teams without direct authority—you know how to influence, track, and close the loop.
Have strong analytical skills and experience with incident trend analysis, metrics reporting, and data-driven prioritization.
Are highly organized with a knack for bringing structure to ambiguous, fast-moving situations.
Have excellent communication skills, especially under pressure and when coordinating across technical and non-technical stakeholders, including executive leadership.
Thrive in fast-paced environments where priorities shift and you’re often working with incomplete information.
Deadline to apply: None. Applications will be received 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:
$290,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: 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 is building and securing data center capacity at an unprecedented pace, and the power and cooling equipment that goes into those sites — switchgear, UPS, generators, transformers, busway, chillers, CDUs, air handlers, pumps and piping skids — is long-lead, high-value, and unforgiving of defects. A single nonconformance discovered at site can cost weeks of schedule.
We're hiring a Manufacturing Quality Engineer to own quality at the source: inside our OEMs' and integrators' factories. You will qualify suppliers, define acceptance criteria, witness factory acceptance tests, drive corrective action to closure, and make sure equipment leaves the factory complete, conforming, documented, and ready to install. You are the person who catches the problem in Ohio before it becomes a problem in Texas.
This is a hands-on individual-contributor role on the Compute DC Infrastructure team, partnering daily with Electrical and Mechanical Engineering, Strategic Sourcing, Construction, and Commissioning. It is not a supplier-relationship-management role and not a people-management role — the emphasis is technical quality engineering at manufacturing facilities.
What You'll Do
Supplier qualification and readiness
Lead quality qualification of new and existing suppliers of power and cooling equipment, including on-site process audits, capability assessments, and manufacturing readiness reviews (MRRs) ahead of production release.
Translate Anthropic engineering specifications into supplier-facing quality requirements: inspection and test plans (ITPs), acceptance criteria, witness/hold points, and documentation deliverables.
Partner with Strategic Sourcing to embed quality requirements, Supplier Quality Agreements, and FAT/documentation expectations into RFPs and contracts.
Factory acceptance and in-process quality
Plan, witness, and sign off factory acceptance tests (FATs) for electrical gear (switchgear, UPS, transformers, gensets, busway, PDUs) and mechanical systems (chillers, CDUs, CRAH/fan walls, dry coolers, pumps, piping skids), including functional, performance, and integrated-system testing.
Conduct in-process and pre-shipment inspections at supplier facilities; verify build-to-print conformance, workmanship, labeling, and traceability.
Review and approve supplier test reports, quality data packages, and turnover documentation; ensure equipment ships complete and installation-ready.
Nonconformance and corrective action
Own the nonconformance (NCR) and deviation process for factory-found issues; lead containment, disposition, and root-cause analysis using 8D, 5-Why, FMEA, and fault-tree methods.
Drive supplier corrective and preventive actions (CAPA) to verified closure with measurable, sustained improvement.
Investigate field-reported defects that trace back to manufacturing, and feed lessons learned into supplier requirements, ITPs, and future RFPs.
Metrics and continuous improvement
Define and track supplier quality KPIs — first-pass FAT yield, defect rate, NCR aging, on-time documentation, supplier scorecards — and report them in quarterly supplier business reviews.
Apply SPC and statistical analysis to supplier process data to identify systemic risk before it reaches a FAT.
Help build the quality framework for a rapidly scaling, multi-supplier, multi-region equipment pipeline — templates, checklists, audit standards, and the operating rhythm around them.
Who You Are
6–10+ years of quality engineering, manufacturing quality, or supplier quality experience in electrical or mechanical equipment manufacturing, mission-critical infrastructure, or a comparable regulated/high-consequence industry.
Hands-on experience with at least one side of the data center equipment stack — medium/low-voltage switchgear, UPS, generators, transformers, busway, or chillers, CDUs, air handlers, pumps — and the curiosity to come up to speed fast on the other.
Proven record planning and witnessing FATs and conducting supplier audits, with the judgment to know when to hold a shipment and when to accept with deviation.
Deep fluency in structured problem-solving and quality tools: 8D, RCA, FMEA, SPC, control plans, PPAP or equivalent.
Able to read electrical one-lines, P&IDs, and mechanical drawings and check a build against them.
Strong technical writing — you produce ITPs, audit reports, and NCR packages that stand on their own.
Comfortable operating with high autonomy and ambiguity, and communicating clearly to engineers, suppliers, and leadership.
Bachelor's degree in Electrical, Mechanical, Manufacturing, or Industrial Engineering, or equivalent experience.
Nice to Have
Experience with hyperscale or AI data center equipment supply chains, or with OFCI (owner-furnished, contractor-installed) delivery models.
Familiarity with liquid-cooling systems (CDUs, manifolds, quick disconnects) and the cleanliness, pressure, and leak-test regimes they require.
Working knowledge of relevant standards: UL 891/1558/1778, IEEE C37, NEMA, AHRI 550/590, ASHRAE 90.4, ASME B31.x, ISO 9001 auditing.
ASQ CQE/CQA, Six Sigma Green/Black Belt, or lead-auditor certification.
Experience standing up a supplier quality function or QMS from a small base.
Proficiency with QMS/ERP platforms and data tools (SQL, Power BI, or similar).
Logistics
Location: [San Francisco / hybrid — or remote US with hub access?]
Travel: [40–60%] to supplier and integrator factories across the US and [internationally], with occasional visits to active construction sites.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: APAC
Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers who are passionate about Bitcoin and its potential to change the world. Today, Blockstream is the leading Bitcoin company, providing cutting-edge infrastructure solutions for enterprises, institutions, and individual Bitcoin users. We develop industry-leading Bitcoin self-custody solutions, Bitcoin-based financial products, second-layer scaling technologies, and enterprise-grade blockchain infrastructure.
Blockstream is looking for a Senior Platform Engineer to build and operate secure, resilient infrastructure across our global Bitcoin products and internal platforms.
You will be a hands-on owner of Kubernetes, GCP, Terraform, GitOps, observability, and stateful production services. You will strengthen follow-the-sun operations during APAC hours, coordinate reliable handoffs with Europe, and turn operational incidents into durable automation, runbooks, and reliability improvements.
What You’ll Be Doing (Key Responsibilities):
- Own production reliability during APAC operating hours, including alert triage, incident coordination, mitigation, communication, and cross-region handoffs
- After onboarding and shadowing, participate in a shared primary/secondary on-call rotation with documented backup and escalation paths
- Build and operate GCP/GKE and hybrid Kubernetes infrastructure using Terraform, Atlantis, FluxCD, Helm, and Kustomize
- Ship reviewed, observable, and reversible production changes through GitLab CI/CD and GitOps workflows
- Build monitoring and alerting with Prometheus/Mimir, Grafana, Alertmanager, and Grafana IRM; improve alert quality, SLOs, runbooks, and post-incident actions
- Operate stateful services and recovery mechanisms, including PostgreSQL/CloudNativePG, WAL backups, Redis, Kafka, persistent volumes, and capacity tuning
- Manage IAM, Workload Identity, secrets, artifact registries, DNS, TLS, ingress, load balancers, and network policies
- Automate repetitive operations using Python, Go, Bash, or similar tools
- Review infrastructure changes and collaborate asynchronously with engineers across APAC, Europe, and North America
What We Look For In You (Required Qualifications):
- Typically five or more years of production experience in DevOps, SRE, platform engineering, or infrastructure operations, or equivalent demonstrated experience
- Strong Kubernetes and cloud-platform experience; production GCP/GKE experience is preferred
- Strong Terraform/IaC, GitOps, and CI/CD fundamentals
- Solid Linux, containers, networking, DNS/TLS, IAM, and secrets-management knowledge.
- Experience monitoring and responding to incidents involving distributed or stateful services
- Practical scripting and automation skills.
- Clear written and spoken English, with strong documentation and asynchronous handoff habits
- Ability to work the published APAC schedule and participate in the defined on-call rotation
Nice To Haves (Preferred Qualifications):
- FluxCD, Helm, Kustomize, Atlantis, or GitLab CI
- Prometheus, Mimir, Grafana, Grafana IRM, Loki, or Alertmanager
- CloudNativePG, Barman/WAL recovery, Redis, Kafka, or GCS
- Bitcoin, Elements/Liquid, electrs, Lightning, exchange-market-data, or other high-availability financial infrastructure
- Hybrid/on-premises Kubernetes or security-sensitive infrastructure experience
🔒 Stay Safe from Job Scams
All official Blockstream communication will come from an @blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.
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's Tax team is hiring a Tax Director to own the company's global income tax provision and US income tax compliance function. This is a core operational leadership role: you will run the quarterly and annual ASC 740 close, manage the co-sourced compliance program, and build the processes, controls, and team that keep both scaling with the company.
What makes this seat unusual is what flows through it. Anthropic is deploying capital into compute and data center infrastructure at a scale and pace with few precedents, alongside an active program of acquisitions, joint ventures, and strategic investments — and every one of those transactions lands in the provision and the returns. We prefer candidates who bring familiarity and hands-on experience with complex M&A and infrastructure transactions on top of the core provision and compliance skill set: someone who can own the tax purchase price allocation workpapers, write the technical memo on a novel financing or lease structure, and then carry that answer correctly through the ASC 740 close and into the compliance workstream.
Key responsibilities
Own the quarterly and annual worldwide income tax provision: current and deferred computations, effective tax rate reconciliation, deferred tax inventory and valuation allowance assessments, stock-based compensation, uncertain tax positions, and return-to-provision true-ups
Own the tax journal entries, account reconciliations, income tax footnote and disclosures, and the supporting workpapers and SOX controls; manage the financial statement audit relationship with our Big 4 auditors
Coordinate the international components of the provision with the team and outside advisors, and drive continuous improvement in close speed and quality
Manage the US federal and state income tax compliance program, working with our co-sourced Big 4 providers: returns, estimated payments and extensions, elections and disclosures, and the compliance calendar
Own cash tax forecasting and support tax authority notices, examinations, and audit defense
Drive automation and tax technology adoption across the provision and compliance processes, including AI tooling
Own tax purchase price allocation workpapers for acquisitions: taxable vs. nontaxable characterization, ASC 805 opening balance sheet deferred taxes, goodwill component analysis, and reconciliation to the tax basis balance sheet — plus tax diligence, structuring, and integration (reorganization qualification, equity compensation in deals, Section 382, transaction costs, stub period returns)
Analyze data center and compute infrastructure arrangements — lease classification, sale-leasebacks, Section 467 rent schedules, build-out cost recovery — and the financing structures around them: debt vs. equity characterization, prepayments, vendor financing, warrants and equity instruments in commercial agreements, and joint venture formations and buyouts
Prepare and review technical memos documenting positions for auditors and leadership, and model the cash tax and effective tax rate consequences of proposed structures for Corp Dev, Finance, and Legal while deals are being negotiated
Mentor and develop tax team members and help build the function as the company grows
Manage outside advisors on opinions, studies, and valuations, and own those budgets and relationships
Minimum qualifications
Have substantial experience managing a corporate tax function in the multinational software and technology industry, including hands-on experience running the income tax provision and compliance processes, with a combination of Big 4 public accounting and in-house tax department experience
Have owned the full ASC 740 provision cycle at a multinational company — not just reviewed pieces of it — including deferred taxes, valuation allowance judgments, uncertain tax positions, footnote and disclosures, SOX controls, and auditor management
Have managed a US federal and state income tax compliance program at scale, including co-sourced arrangements with Big 4 providers
Bring familiarity and hands-on experience with complex M&A transactions — tax purchase price allocations, ASC 805 opening balance sheet accounting, diligence and structuring — and ideally experience with infrastructure leases, build-outs, and the financing arrangements behind them
Write clear, well-organized technical memos that hold up with Big 4 auditors, and can explain the same issue in plain terms to non-tax partners
Hold a CPA; a Master's in Taxation or LLM is a plus
Thrive on novel fact patterns and ambiguity, and default to building the workpaper and writing the position down rather than waiting for a template
Preferred qualifications
Familiarity and experience with data center or similar capital-intensive infrastructure transactions — hyperscaler-scale compute, energy, or telecom deals, project finance, or joint venture structures
Experience analyzing warrants, convertible instruments, or other equity components embedded in commercial and supply agreements, and debt-equity analysis for intercompany and third-party financing
An interest in applying AI tools to tax workflows
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:
$230,000
—
$300,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Auth & Identity team builds the authentication, authorization, and identity platform that underpins every Anthropic product: the API, Claude Code, Claude.ai, and our Enterprise offerings. Every login, API key, OAuth token, access decision, and organization record flows through the systems we own. As Claude moves from a chat product to an agentic platform, we are defining what identity and access look like when the actor is a human, a service account, or an autonomous agent acting on someone's behalf.
We are a platform team with a product surface. The horizontal is the set of services every product consumes: credential minting and exchange, authorization controls, and the canonical record of users, service accounts, agents, and the organizations they belong to. The vertical is the experience where admins author that policy: SSO and SCIM setup, roles and permissions, IP allowlisting, and API key policies.
Our work falls into four pillars:
Authentication
– Who you are. Credential minting, exchange, and lifecycle; sessions; workload identity federation; auth for async and agentic workloads.
Authorization
– What you can do. The policy framework for model, membership, role, and resource access.
Identity
– Who belongs to what. The tenant and organization model, and first-class identity for humans, service accounts, and agents, portable across surfaces and cloud environments.
Enterprise
– How enterprises connect. SSO, SCIM, login policies, and the admin controls that let customers provision and govern users from their own identity provider.
What you'll do
You will own critical, high-traffic systems end to end, from design through rollout, operations, and iteration, and help shape the technical strategy for how identity and access work across Anthropic. Representative problems we are working on right now:
Designing credentials for agents and long-running autonomous workloads.
Routing every access decision through a unified authorization system, with low latency, security guarantees, and multi-region resilience.
Building a first-class identity model for service accounts and agents, and linking those identities to other identity and auth systems.
Global distribution and multi-region failover for some of the company’s most mission-critical services.
Deepening enterprise integration: login policies and recovery methods, self-service allowlisting, and tighter integrations with providers.
You will work closely with product, security, infrastructure, and the product teams that consume our primitives, and you will be expected to set technical direction, not just execute on it. Many of the problems are 0-to-1 with no established pattern to copy; others are careful migrations of systems that every Anthropic customer depends on in the hot path.
You might be a good fit if you:
Have 8+ years of experience building and operating backend or platform systems at scale, ideally including identity, authentication, authorization, or security-adjacent infrastructure.
Have worked with some of: OAuth 2.0 and OIDC, SAML, SCIM, JWTs and token exchange, workload identity federation, policy engines such as Cedar or OPA, or RBAC and resource-level access control models.
Care deeply about reliability and security. You design for on-call, failure modes, revocation, and the engineer who inherits your system, and you treat availability of auth as table stakes for every product built on it.
Are comfortable owning large migrations in live, high-traffic systems: shadow modes, incremental rollouts, and clean retirement of legacy paths.
Take a product-focused approach to platform work and build primitives that are easy for other engineers to adopt correctly, with documentation and self-service as part of the deliverable.
Can navigate ambiguity and make sound technical decisions independently, and communicate clearly with cross-functional partners and stakeholders.
Are familiar with using AI tools as part of your software development workflow.
Strong candidates may also have
Experience with globally distributed databases and multi-region service architecture.
Experience working in Go, Python, Rust, or TypeScript across a rapidly changing codebase.
Prior work on enterprise identity integrations with major identity providers and cloud IAM systems.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Paris
Workplace: OnSite
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
ABOUT THE TEAM
The Applied AI for Defense team is Mistral's specialized unit dedicated to delivering high-impact, secure AI solutions for institutions operating in highly regulated and strategic environments. We work hand-in-hand with clients to design, deploy, and maintain AI systems that meet the highest standards of reliability, security, and operational excellence, including on-premise, disconnected, and air-gapped deployments.
As an AI Deployment Strategist on this team, you will drive the adoption and deployment of Mistral's AI solutions inside sovereign institutions and critical infrastructure, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, under real operational, security, and compliance constraints. You will partner with senior leaders and mission owners to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to projects with significant societal, operational, and strategic impact.
WHAT YOU WILL DO
Strategic Discovery & Vision Setting
- Lead executive-level and mission-owner workshops to identify challenges and opportunities where Mistral's AI can drive step-change improvements in strategic environments.
- Co-create AI adoption roadmaps with customers, articulating the "art of the possible" and a clear path to value within their regulatory and security perimeter.
- Collaborate with Account Executives to develop business cases, quantify impact, and align solutions with mission and organizational objectives.
AI Solution Design & Deployment
- Architect end-to-end AI solutions, integrating Mistral's models and platform into customer workflows and secure technical infrastructure (cloud, on-premise, disconnected, air-gapped).
- Partner with the Applied AI team to design, prototype, and deploy AI solutions in production, ensuring scalability, security, and impact.
- Own the execution of pilots and proofs-of-value, demonstrating the potential of our technology and paving the way for full-scale deployment.
Value Realization & Customer Success
- Serve as a trusted advisor to customers, guiding their AI strategy and ensuring they maximize the value of their investment in Mistral.
- Monitor key performance indicators tied to operational and business outcomes, and communicate progress to executive sponsors.
- Proactively identify expansion opportunities across use cases and units, building on initial successes to drive long-term partnerships.
Cross-Functional Collaboration
- Act as the bridge between customers and Mistral's internal teams, synthesizing feedback to influence product, science, and security roadmaps.
- Develop reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery excellence in regulated settings.
- Travel (~30-60%) to foster deep client relationships and support on-site deployment.
HOW WE WORK IN SOLUTIONS
- We care about people and outputs. What matters is what you ship, not the time you spend on it.
- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
- Always ask why. The best solutions come from deep understanding, not from copying what worked before.
- We say what we mean. Feedback is direct, timely, and given because we care.
- No politics. Low ego, high standards.
WHAT WE'RE LOOKING FOR
- 2+ years in a client-facing strategic and technical role (e.g. data science consulting, value engineering, or technical sales).
- A degree in a relevant scientific field (e.g. Computer Science, Data Science, Engineering).
- Foundational knowledge of AI/ML/Data Science, with the credibility to advise both technical and non-technical audiences.
- Hands-on experience building and deploying AI applications (Python, JavaScript, or similar) to demonstrate value.
- Strong business acumen and problem-solving skills, with the ability to structure ambiguous challenges into actionable solutions.
- Executive presence and communication skills to influence senior stakeholders (VP, C-level, mission owners).
- Resilient, results-driven, and comfortable leading through influence in a collaborative environment.
- Comfort operating under security, compliance, and confidentiality constraints.
- Experience with sales qualification frameworks (e.g. MEDDPICC) and value-based selling is a plus.
- Experience deploying AI in regulated or sovereign environments (defense, public sector, critical infrastructure) is a plus.
SECURITY & COMPLIANCE CRITERIA
- Eligibility: must hold citizenship in the target territory (France for now).
- Clearable: must meet all local requirements for high-level security clearance (e.g. no criminal record, fulfillment of national service obligations).
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Singapore
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is searching for a
Sr.
Enterprise Networks Engineer
with strong automation skills to design, implement, and optimize enterprise networks, including wired, wireless, and VPN infrastructure.
Your responsibilities will include:
Lead the design, implementation, and optimization of enterprise wired and wireless networks, ensuring scalability, security, and high availability
Own and maintain network connectivity between branch offices around the world, partnering with global teams to standardize architecture and operations
Manage and ensure the reliable operation of remote access systems (VPN), including capacity planning, resiliency, and continuous improvements
Deploy, maintain, and continuously improve automation and monitoring tools; define best practices and drive automation-first operations
Diagnose and resolve complex network issues, including cross-region and cross-provider incidents; perform root cause analysis and implement preventative measures
Test, evaluate, and introduce new equipment and emerging technologies; contribute findings and recommendations into global R&D streams
Collaborate with telecom service providers globally; lead escalations, manage SLAs, and drive service improvements
We expect you to have:
In-depth knowledge of TCP/IP technologies
Familiarity with dynamic routing protocols
Experience in automation using Python, Go, or other popular programming languages (ability to design and maintain production-grade automation)
Proficiency in Unix system administration
Hands-on experience with enterprise-grade network hardware (e.g., Cisco, Aruba, Arista, Extreme, Juniper)
Strong ability to work independently, owning outcomes end-to-end in a senior/lead capacity
It will be an added bonus if you have:
Experience with network automation frameworks like Ansible, Terraform, NetBox, Nornir, or SaltStack
Experience designing, developing, and operating high-load distributed systems
Experience building high-density enterprise wireless networks (CWNA level or higher)
Working knowledge of IPv6
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
ОфисseniorUK, London
УдалённоIndia; Serbia; Croatia; Spain; Italy
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
San Francisco, CA | New York City, NY | Washington, DC
УдалённоseniorRemote - US; Boston, MA; New York, NY
Boston, Massachusetts, United States; Pawtucket, Rhode Island, United States
seniorRenton, Washington, United States
seniorRenton, Washington, United States
Seoul, South Korea
Zürich, CH
San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
San Francisco, CA | New York City, NY
seniorAPAC
San Francisco, CA | New York City, NY | Seattle, WA
San Francisco, CA | New York City, NY; Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team
ОфисParis; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
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