Location: Athens
Workplace: OnSite
ROLE HIGHLIGHTS
- Title: Mechanical AIT Engineer
- Department: Global Manufacturing Organisation
- Location: Athens, Greece
- Reporting to: AIT Engineering Team Leader
- Type of Contract: Permanent
- Working model: On-site (Occasional travel for environmental test and suppliers facility)
- Employment is subject to applicable security screening (incl. SUPO, where required)
- Please note we can only accept applications in English
Why this role matters:
The Mechanical AIT Engineer transforms satellite designs into reliable, flight-ready hardware. You are the technical authority for mechanical and composite hardware in Athens: how satellites are assembled and aligned, what proves they will survive launch, and what evidence exists that every build was done correctly.
You define the AIT processes, tooling and ground support equipment the facilities need as they grow from subassembly production towards full satellite integration. You make sure the design, the processes and the tooling can carry production to high throughput, and you feed what you learn on the floor back into design, so that each build is more manufacturable, more testable and more reliable than the last.
Who We Are
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
WHY SHOULD YOU WORK FOR US?
ICEYE is at the cutting edge of new technology and we are continuing to build and operate our commercial constellation of SAR satellites. Working with ICEYE, you will be part of making the impossible possible, whilst shaping the Earth Observation industry. You will work with varied, diverse and engaged colleagues to further the ICEYE mission. At ICEYE we realise that without great people we can not succeed, therefore you will be an integral, valued and appreciated colleague, with the ability to directly shape the vision and direction of the business.
We actively support Continuous Professional Development, and will provide access to a range of avenues to allow you to succeed, including courses, training and attendance at conferences. ICEYE is a place where your development, your growth and your success is a priority.
YOUR DAY-TO-DAY RESPONSIBILITIES
AIT PROCESS DEFINITION AND INDUSTRIALISATION
- Define the MAITE processes for building sub-assemblies and satellites: integration flows, standard sequences, work packages and test strategy.
- Qualify the critical assembly, integration and test processes, using PFMEA and control plans, and define the acceptance criteria and standardised procedures that go with them.
- Specify the tooling, equipment and workstations each process needs, anticipating them ahead of programme milestones, and lead the transfer from prototype to series so that processes and tooling can carry production to high throughput.
DESIGN MATURITY AND CO-ENGINEERING
- Work with Engineering from the concept phase so that design and production constraints are aligned, applying design for manufacturing, assembly and testability (DFM, DFA, DFT) and bringing buildability, tolerance stack-up, tool access and test provisions into internal design iterations before the design is frozen.
- Support internal and supplier design and readiness reviews (e.g. PDR, CDR, PRR, IRR, TRR), ensuring designs are mature and ready for transition into production, and identify industrial risks early with the action plans that close them.
ASSEMBLY AND INTEGRATION
- Lead and execute structural, mechanical and thermal assembly and integration of satellites and sub-assemblies, acting as the technical point of contact for mechanical subsystem integration.
- Own the mechanical build standard: torque and preload, locking methods, bonding, composite handling, cleanliness and ESD discipline.
- Verify components before integration, perform precision alignment and dimensional verification of critical interfaces, and support the floor hands-on during assembly, harness routing and test setup.
VERIFICATION AND ENVIRONMENTAL TEST
- Plan, prepare and lead environmental test campaigns, including vibration, shock, thermal vacuum, acoustic and EMC, and guide system-level functional verification.
- Design or evaluate test fixtures, derive test levels, and act as the technical point of contact towards internal and external test facilities.
- Own mass properties: mass budget, centre of gravity, moment of inertia and launch vehicle interface data.
GROUND SUPPORT EQUIPMENT
- Specify, design, procure and validate Mechanical Ground Support Equipment for handling, transport, integration and test, from concept and CAD through structural analysis to fabrication oversight.
- Verify structural margins, define proof load testing and recertification intervals, and certify equipment before use on flight hardware.
SUPPLIER PARTS AND MATERIALS
- Act as the technical authority for mechanical and composite parts from suppliers, covering capability assessment, special process review and First Article Inspection.
- Act as the technical reference for composite hardware (CFRP panels, honeycomb assemblies, bonded joints, potted inserts), defining handling, machining, acceptance and inspection criteria, including non-destructive inspection where needed.
CONFIGURATION, DOCUMENTATION AND ANOMALIES
- Maintain as-built configuration and traceability, and apply engineering changes consistently to hardware and documentation.
- Troubleshoot and resolve integration issues, and support root cause analysis and corrective actions, coordinating with the Engineering team, the production team and any other team needed to ensure schedule and quality adherence.
FACILITIES AND PROCESS REQUIREMENTS
- Define the AIT process requirements for the facilities and work with the Global Manufacturing Infrastructure team on the layout that supports them.
- Define the contamination control, ESD and handling requirements that integration and test activities must meet, and propose improvements where the process or the environment falls short.
STANDARDIZATION AND CONTINUOUS IMPROVEMENT
- Capture lessons learned from the floor to improve procedures, tooling, test efficiency and build reliability as production volumes increase, and align with the Global AIT and Engineering teams on product standards and process updates.
- Mentor and support local engineers and technicians, sharing AIT best practices and fostering a culture of quality and accountability.
WHAT WE'RE LOOKING FOR
MUST HAVE
- Bachelor's or Master's degree in Mechanical Engineering, Aerospace Engineering, Industrial Engineering or a related field.
- 5+ years of hands-on experience in the development, integration, testing or production of complex hardware systems (e.g. aerospace, defense, automotive, semiconductors, satellites), including work on flight or equivalently critical hardware.
- Demonstrated experience defining and qualifying assembly, integration and test processes, turning them into standardised work packages, and taking a product from first units towards series production.
- Deep technical knowledge in mechanical engineering, with system-level understanding across full product architectures and the ability to spot issues across the interfaces between design, production and operations.
- Demonstrated ownership of environmental test campaigns, from specification through execution to reporting.
- Practical mastery of precision mechanical assembly (torque and preload, locking methods, bonded and inserted joints, alignment and dimensional verification) and of composite hardware, including its handling and inspection constraints.
- Experience specifying, designing or validating MGSE or comparable handling and test tooling.
- Ability to read mechanical drawings, CAD models, GD&T and interface control documents, and to translate them into procedures others can execute.
- Strong track record of enabling design for manufacturing, assembly and testability (DFM, DFA, DFT), working alongside design teams rather than after them.
- Familiarity with verification and configuration management in complex hardware industries, including root cause analysis and non-conformance ownership through to closure.
- Working knowledge of cleanroom and ESD discipline. Integration in Athens is typically ISO 8, with ISO 7 and ISO 5 environments also possible.
- Experience in multidisciplinary engineering environments, mentoring engineers or technicians, and communicating clearly with designers, production leads and executive stakeholders.
- Strong communication skills in English (written & spoken).
NICE TO HAVE
- Industrialisation and methods toolkit: Lean manufacturing, value stream mapping, standard work, line balancing, capacity planning, APQP or PPAP.
- Familiarity with EN 9100 and ECSS standards as applied to space hardware.
- Experience defining AIT process or facility layout requirements alongside a facilities or infrastructure team.
- CAD and structural analysis proficiency (SolidWorks, NX, CATIA or equivalent) for tooling and fixtures, and metrology with laser trackers, theodolites or CMM.
- Non-destructive inspection interpretation on bonded or composite structures.
- Hands-on operation of environmental test equipment, or involvement in its acceptance and commissioning.
- Automated test scripting (Python or equivalent), and familiarity with PLM, ERP, Manufacturo (MES) or Jira for build records and configuration control.
- Launch campaign or launcher interface experience.
APPLICATION PROCESS
- Talent Acquisition Interview
- Hiring Manager General Interview
- Technical Interview (onsite or virtual), including a Technical Challenge
- Leadership & Hiring Team Interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Base salary range for this position is dependent on experience, and will be negotiated individually.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
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 an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Key responsibilities
Partner with account executives across South Korea to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers across South Korea throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with both the Claude API and Claude for Work
Create and deliver compelling technical content tailored to different audiences across South Korea. You will need to be able to run the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers across South Korea integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
Minimum qualifications
Experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Native-level Korean fluency and business-level English required
Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Preferred qualifications
5+ years of relevant experience
Experience designing scalable cloud architectures and integrating with enterprise systems
Comfortable with python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Are you the person on your team who builds the agent everyone else ends up using? We're looking for an AI Engineer to join our Training Product team and do that at Baseten. You'll build AI-driven product features for the customers training and post-training frontier models on our platform, and you'll raise the ceiling on how Baseten itself uses AI internally, turning manual workflows into agentic ones that make every other team faster.
You'll work directly with our research engineers to scope and build products, taking ideas from a research loop that already works internally to something customers can run themselves. This is a hands-on role with real autonomy. You'll pick the problems worth solving, build the harnesses, execution flows, and guardrails that make AI systems reliable, and own the results. If you've been shipping agents and want that to be the job, let's talk.
EXAMPLE INITIATIVES
Take a look at these blog posts written by members of our team:
- Baseten Training: an autoresearch substrate https://www.baseten.co/blog/baseten-training-an-autoresearch-substrate/
- Introducing Baseten Loops https://www.baseten.co/blog/introducing-the-baseten-loops-sdk/
- Harnesses are everything. Here's how to optimize yours. https://www.baseten.co/blog/harnesses-are-everything-heres-how-to-optimize-yours/
- Building with NVIDIA Nemotron 3 Ultra and LangChain Deep Agents Code on Baseten https://www.baseten.co/blog/nvidia-nemotron-3-ultra-and-langchain-deep-agents-on-baseten/
RESPONSIBILITIES
- Build and ship agentic product experiences, including chat-style and assistant-like interfaces, from prototype to GA.
- Design the harnesses, execution flows, and guardrails that make AI systems reliable in production.
- Build internal automation and AI tooling that measurably increases the velocity of engineering, research, and go-to-market teams.
- Partner with research engineers to scope product opportunities out of internal research workflows and turn them into customer-facing features.
- Define and instrument evals so you know whether a change actually improved output quality.
- Work throughout the stack (API layer, backend, agent orchestration, frontend) to implement features end to end.
- Use Baseten's own training and inference products yourself to develop intuition around customer workflows.
- Identify where AI can replace manual process across the company and build the thing rather than write the proposal.
- Fix bugs and resolve customer issues with urgency.
REQUIREMENTS
- 5+ years of experience building and shipping software applications.
- Demonstrated experience building AI or LLM-powered products, agents, or agentic workflows that real users depend on.
- Strong software engineering fundamentals and the ability to clear a real technical bar, not just prompt well.
- Ability to build accurate mental models of how systems work under the hood, including the models and harnesses you're building on.
- Proficiency in Python, with fluency in at least one other language.
- Comfort working autonomously in a fast-moving environment with limited structure.
- Ability to move between customer-facing product work and internal tooling and automation.
- Strong communication skills, with the ability to bridge technical depth and business needs.
NICE TO HAVE
- Experience as a founding engineer or early employee at a startup.
- Experience building evals, agent observability, or tooling for non-deterministic systems.
- Familiarity with agent frameworks and harnesses (LangChain, Claude Code, Codex, OpenCode, MCP).
- Experience with model development methods like supervised fine-tuning, reinforcement learning, synthetic data generation, LoRA, and full fine-tunes.
- Frontend fluency.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Tokyo, Japan
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
The IT Operations team keeps Anthropic running — we make sure every employee can do their best work without friction. We're seeking an IT Support Engineer who combines deep technical skills with a genuine service mindset and sound judgment.
Anthropic is growing fast, and our IT operations need to keep pace. That means onboarding at scale, automating repetitive processes (including with Claude), and continuously improving the employee experience. You'll handle support challenges across our primarily macOS environment while contributing to the operational improvements that help us scale. You'll work closely with IT Engineering and Security, with opportunities to grow into more technical infrastructure work over time.
Responsibilities
End-User Support
Triage and resolve issues across hardware, software, networking, and accounts — primarily through our ticketing system, with additional support via Slack and in-person
Diagnose and resolve issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian)
Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement
Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs)
Handle escalations requiring cross-team coordination
Participate in an on-call rotation for urgent issues outside business hours
Provide hands-on support for user technology, AV systems, conference rooms, and printers
Communication & Documentation
Communicate clearly with users of all technical levels
Write and maintain internal documentation including runbooks, how-to guides, and knowledge base articles
Identify patterns in support requests, surface recurring issues to the team, and identify opportunities for automation or systemic solves
Operational Improvement
Help streamline onboarding and other high-volume operations as the company scales
Contribute to automation efforts
Maintain and improve device management, identity, and access systems
Assist with scripting (Bash, Python) to automate repetitive tasks
You may be a good fit if you
Have 7+ years of hands-on IT support experience, ideally in a fast-paced or high-growth environment
Are an excellent communicator who genuinely enjoys helping people solve problems
Have strong troubleshooting skills and are methodical, curious, and persistent
Demonstrated supporting macOS endpoints and comfortable supporting ChromeOS, iOS, and Android
Have significant experience with Google Workspace administration
Have experience with Slack administration — workspace management, permissions, and troubleshooting
Have substantial experience supporting and administering additional SaaS tools
Understand identity and access fundamentals — SSO, MFA, directory services
Are familiar with MDM fundamentals and endpoint management concepts
Have experience with basic scripting (Bash or Python) for automation
Take ownership of problems and follow through until they're resolved
Think beyond the immediate fix — you ask "why did this happen?" and "how do we prevent it?"
Are organized enough to manage competing priorities without things falling through the cracks
Propose solutions when you see a process that doesn't scale
Are looking to develop deeper technical skills and take on more complex systems administration challenges over time
Strong candidates may also
Be familiar with zero-trust security concepts and endpoint security tooling
Have experience with networking basics — DNS, DHCP, VPNs, networking fundamentals
Have contributed to IT projects beyond day-to-day support (migrations, tool rollouts, process redesigns)
Have experience using AI tools to improve personal or team productivity
Location
This role is based in Tokyo, Japan and there is a 4 day/week in office expectation.
What Makes This Role Unique
You'll be joining a high-impact IT team supporting some of the world's leading AI researchers and engineers. The pace is fast and you'll have real ownership over your work. This isn't a role where you follow rigid scripts — you'll be trusted to use your judgment, improve our processes, and grow with the team. Because we're scaling rapidly, you'll have meaningful opportunities to shape how IT operations work at Anthropic.
Deadline to apply: None. Applications will be received on a rolling basis.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The GTM Strategy & Operations, Frontier team coordinates how Anthropic's research reaches the market: how we run model launches commercially, how we partner with Capacity teams to allocate a finite compute supply across customers and surfaces, and how we translate what the field learns into reads that Research, Product, Finance, and GTM leadership act on.
One tangible example of the work this role will contribute to is new model and product introduction: the end-to-end commercial run of a model, product or capability release, from identifying market opportunities to preparing customer cohorts and the field through to the adoption readout that shapes where we go from there. We are hiring for someone who can run a high-stakes cross-functional program where the bar for execution is sky high, author the strategic analysis and readouts executive leadership needs, and create and optimize repeatable methodologies.
This role reports to the Global Head of GTM Strategy & Operations, Frontier, and sits at the interface between GTM, Applied AI, Product, Research, Security & Safeguards, Finance, and Compute.
Key responsibilities
Run launches
Serve as GTM DRI for product and model launches: own account selection for pre-launch, coordinate field readiness across scaled pre- and post-sales teams, and run the launch-week operating room with extreme ownership.
Synthesize customer adoption signal (usage patterns, migration behavior, qualitative feedback from the field) into actionable reads for executive leadership across the company
Design and run the field response loop: how AE, CS, Applied AI and customer response and feedback gets captured, triaged, and routed to the teams who can act on it
Evolve the NPI methodology
Design and iterate GTM's NPI methodology across both standard releases and managed-access programs, including operating cadence, roles and handoffs with field teams, and the bar for launch readiness
Carry the executive reporting cadence for launches: what leadership teams see, how often, and how we make adoption trends legible early as well as retrospectively in a continual sprint environment
Partner across the company
Act as GTM's primary interface to Product S&O and Research on launch planning, ensuring commercial readiness is sequenced with product / model readiness
Work with Sales Strategy & Operations partners, Applied AI, and Customer Success on field execution, ensuring the launch motion lands consistently across segments and regions
Partner with Capacity teams on rate limits, provisioning, and capacity planning for account cohorts, assessing capacity-efficiency opportunity and executing against it with customer value at the core
Collaborate on protect-play targeting, sequencing, and post-launch competitive response when external launches and ours overlap
Minimum qualifications
Experience in product operations, PMM operations, release management, management consulting, or GTM strategy & operations
Built and run high-stakes, operations-heavy programs with many cross-functional dependencies at a high-velocity product company, with a track record of turning effective heroics into a repeatable, scaled methodology
Ability to quickly weigh, select, and execute the balance between business, safety, and repeatability considerations
Written for and presented to senior executives; you can produce the readout leadership reads and hold the room with Product, Research, and Finance counterparts
Exceptional analytical skills, rooted in data but never without corresponding actionable insights. You can design the metrics and reporting that make a program legible, distinguish signal from noise in a messy week-one read, and work with analytics engineering teams to evolve data design to be fit for purpose
A bias toward extreme ownership - you see the gap, you fill it, and you hold the outcome regardless of where the org lines fall
Bachelor's degree required
Preferred qualifications
Strong analytical foundation: SQL and code-level data proficiency, sophisticated modeling in Sheets or Excel, and experience with BI tools (Looker, BigQuery, or similar)
Experience at an AI, developer-tools, or API-first company with consumption-based pricing (ideally as well as B2B SaaS)
Strong familiarity with, if not direct experience in, commercial roles (sales, rev ops, product marketing) or product management in addition to operations
Familiarity with safety, trust & safety, or security-review processes in a product context
Demonstrated success operating in ambiguity at a company where the product and the operating model are both changing fast
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$190,000
—
$270,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Chicago, Illinois
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
Fin is looking for an exceptional Portuguese and Spanish Speaking Senior Solutions Engineer to join our vibrant Customer Solutions Team. In this role, you’ll engage directly with our customers as their trusted advisor, playing a pivotal part in defining and demonstrating value across the entire sales cycle. With a natural curiosity, independent thinking, and strong problem-solving skills, you’ll partner closely with Product, R&D, and Engineering to ensure our customers’ needs and insights are at the core of our AI powered solutions.
What will I be doing?
Lead technical discovery to identify and address our customers’ needs
Deliver an exceptional pre-sales experience by articulating Fin's value and technical expertise
Conduct impactful, value-based solution reviews and in-depth technical sessions
Design and lead tailored Proof of Concepts (POCs) that showcase Fin's capabilities
Serve as the primary resource for RFPs and customer security questions, utilizing standardized materials and escalating complex issues
Collaborate cross-functionally with Product and Engineering to represent the customer voice, gathering feedback and insights for product planning
Build trust with customers by approaching challenges with empathy and curiosity
Continuously improve processes and contribute to building a best-in-class Solutions Engineering playbook at Fin
Commit to customer success, ensuring lasting value and proactively addressing challenges
What skills do I need?
Portuguese and Spanish Fluency are required
Minimum of 4 years of experience in a technical sales role, managing C-Level technical and business relationships
Strong technical acumen with experience in conducting technical discovery and delivering high-impact value presentations.
Ability to solve problems independently while thriving in collaborative team environments
Proven time management skills in a dynamic team environment
Demonstrated ability to quickly identify and communicate the value proposition throughout the sales cycle.
Leverage your skills in translating complex business challenges into tailored Fin solutions, effectively communicating with both technical and non-technical audiences to drive understanding and impact.
Experience working closely with product and engineering teams to communicate customer feedback and influence product direction.
Familiarity with managing POCs, RFPs, and addressing complex security questions.
Excellent communication and interpersonal skills, with a passion for leading with empathy and curiosity
Ability to challenge the status quo and continuously improve Solutions Engineering processes and playbooks
Bring an open mind, be a collaborative colleague with a commitment to go above and beyond to drive the success of your team and the company
Willing and able to travel occasionally
*Proof of eligibility to work in the United States is required.
The OTE salary range for candidates within the Greater Chicago Area is $208,000-$248,650 Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: NYC, Remote; San Francisco, California
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
Fin is looking for an exceptional Portuguese and Spanish Speaking Senior Solutions Engineer to join our vibrant Customer Solutions Team. In this role, you’ll engage directly with our customers as their trusted advisor, playing a pivotal part in defining and demonstrating value across the entire sales cycle. With a natural curiosity, independent thinking, and strong problem-solving skills, you’ll partner closely with Product, R&D, and Engineering to ensure our customers’ needs and insights are at the core of our AI powered solutions.
What will I be doing?
Lead technical discovery to identify and address our customers’ needs
Deliver an exceptional pre-sales experience by articulating Fin's value and technical expertise
Conduct impactful, value-based solution reviews and in-depth technical sessions
Design and lead tailored Proof of Concepts (POCs) that showcase Fin's capabilities
Serve as the primary resource for RFPs and customer security questions, utilizing standardized materials and escalating complex issues
Collaborate cross-functionally with Product and Engineering to represent the customer voice, gathering feedback and insights for product planning
Build trust with customers by approaching challenges with empathy and curiosity
Continuously improve processes and contribute to building a best-in-class Solutions Engineering playbook at Fin
Commit to customer success, ensuring lasting value and proactively addressing challenges
What skills do I need?
Portuguese and Spanish Fluency are required
Minimum of 4 years of experience in a technical sales role, managing C-Level technical and business relationships
Strong technical acumen with experience in conducting technical discovery and delivering high-impact value presentations.
Ability to solve problems independently while thriving in collaborative team environments
Proven time management skills in a dynamic team environment
Demonstrated ability to quickly identify and communicate the value proposition throughout the sales cycle.
Leverage your skills in translating complex business challenges into tailored Fin solutions, effectively communicating with both technical and non-technical audiences to drive understanding and impact.
Experience working closely with product and engineering teams to communicate customer feedback and influence product direction.
Familiarity with managing POCs, RFPs, and addressing complex security questions.
Excellent communication and interpersonal skills, with a passion for leading with empathy and curiosity
Ability to challenge the status quo and continuously improve Solutions Engineering processes and playbooks
Bring an open mind, be a collaborative colleague with a commitment to go above and beyond to drive the success of your team and the company
Willing and able to travel occasionally
*Proof of eligibility to work in the United States is required.
The OTE salary range for candidates within the San Francisco Bay Area or New York City is $231,100-$276,275 Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Doha, Qatar
NetWitness provides advanced threat detection, investigation, and response capabilities that help organizations detect sophisticated threats, investigate incidents, and protect critical IT and OT environments.
Job Summary
We are seeking a highly skilled Senior Cybersecurity & Operational Technology Specialist to join the NetWitness team and support customers in Qatar and the broader region.
This role requires the ability to work in Qatar and provide onsite support to customers as needed, including complex investigations, cybersecurity assessments, consulting engagements and incident response.
The role will also support the sales team as a senior technical advisor, helping customers understand NetWitness technologies and services, define requirements, scope engagements and develop technical solutions and proposals.
Key Responsibilities
Partner with local sales teams to develop technical solutions, proposals and customer engagement plans
Lead comprehensive reviews of customer cybersecurity posture across IT and OT environments.
Evaluate customer environments to identify vulnerabilities, security gaps, and opportunities to improve cyber resilience.
Translate assessment findings into actionable improvement plans, helping customers mature their security defenses.
Design and implement secure OT network architectures using segmentation, zero-trust principles, and industry recognized models such as the Purdue Model.
Conduct detailed cybersecurity assessments and threat modeling on physical industrial control systems (ICS), SCADA and other OT environments.
Develop and execute specialized OT incident response playbooks that prioritize process safety and plant availability.
Assist with aligning environments with recognized cybersecurity frameworks, including IEC 62443 and NIST SP 800-82.
Develop and maintain OT risk assessments and translate technical findings into actionable risk priorities for customers executive stakeholders. As part of the job, the resource will deliver cybersecurity consulting services both remotely and in-person.
Deliver proactive services including compromise assessments, gap analysis, threat hunting, incident readiness reviews and customer training.
Conduct digital forensics investigations on endpoints, networks, memory, OT and cloud environments using industry standard tools.
Lead incident response engagements, including triage, malware analysis, threat hunting, and root cause determination.
Develop forensic reports, timelines, and executive summaries for customers and stakeholders.
Develop or customize tools and scripts to improve investigation process.
Collaborate with cross-functional teams to mitigate threats and recommend remediation strategies.
Provide onsite support to customers in Qatar on short notice and travel regionally or internationally for customer engagements and incident response as required.
Mentor junior analysts and contribute to team knowledge-sharing initiatives.
Requirements
7+years of cybersecurity experience and significant hands-on experience in digital forensics and incident response.
Demonstrated hands-on experience securing or assessing OT/ICS environments, including industrial networks, segmentation, incident response, and security architecture.
Strong working knowledge of OT cybersecurity frameworks and standards, including IEC 62443 and NIST SP 800-82.
Strong executive-level and customer-facing communication skills, with the ability to translate complex technical findings into business and operational risk.
Relevant cybersecurity certifications such as GCFA, GCFE, GCIH, GNFA, GREM, CISSP, CISA, OSCP, or equivalent are strongly preferred.
Fluency in English and Arabic (spoken and written).
Must currently reside in Qatar or can legally work in Qatar and provide onsite customer support as required.
Location: Portugal; Georgia; Bulgaria; Vietnam; Cyprus; Montenegro
Engage with the business objectives behind key tasks: pricing for B2B/B2C, forecasting and optimization of financial and operational metrics, incident prioritization, and improving customer journey efficiency (revenue growth, cost savings, business impact).
Drive ML projects end-to-end: from problem definition and formalization to modeling, piloting, and presenting results.
Collaborate with data engineers to collect the necessary datasets and assess implementation feasibility.
Work with analysts on A/B test design: defining metrics, splits, and interpreting results.
Develop models (classic ML and DL, time series, uplift modeling), conduct error analysis and performance evaluation.
Prepare models and code for transfer to production infrastructure (deployment and releases handled by the technical team).
Take ownership of model quality, monitor key metrics, and collaborate with the team on degradation issues and improvement plans.
Requirements
3+ years of experience as a Data Scientist.
Proven experience with end-to-end ML projects (ability to oversee the entire process).
Strong knowledge of classical machine learning techniques (feature engineering, classification, regression, boosting, etc.).
Hands-on experience with uplift modeling and time series tasks (with real business applications).
Experience working with business stakeholders and understanding optimization problems: pricing, B2C, LTV, retention, AB testing, and more.
Proficient in Python for DS/ML (writing clean, readable code for models and experiments).
Confident SQL user (able to build datasets, write joins, and perform data analysis).
Nice to have: experience with MLflow/DVC, pipelines (Airflow or similar), anomaly detection/anti-fraud, deep learning (PyTorch/TensorFlow), and model monitoring.
Benefits
A fully flexible work schedule — there’s no pressure to start work at exactly 9:00 AM; what matters is achieving results and moving forward;
Each person in our team is encouraged to choose their preferred work format. You can work fully remotely, come to the office, or choose a hybrid work model;
We are an ambitious and supportive team who love what they do, appreciate each other, and grow together;
The growth and development of each employee is our priority, so we have internal programs available for adaptation and training, development of soft skills and leadership abilities that are tailored individually to each employee;
We also provide partial compensation for employees participating in external training and conferences;
In tourism, it's difficult to grow without an excellent knowledge of English, and we support our employees' language learning goals — we organize group and individual lessons, plus speaking clubs with colleagues from all over the world;
And, of course, to encourage you to travel more, we offer corporate prices on hotels and other travel services;
We prioritize well-being and are committed to supporting the overall health and work-life balance at ETG. As part of this commitment, we provide MyTime Day Off - an extra day off that is designed to give our employees the flexibility to focus on important matters, whether it’s taking care of their health, mental recharge, addressing personal issues, or any other important activities.
Learn more about our data protection practices in our Privacy Policy:
https://www.emergingtravel.com/career/hr-policy/
Location: Remote: United States
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
Render is building a channel partnerships program from the ground up, and we're hiring our first Head of Revenue Partnerships to lead it — reporting to our VP of Revenue. You'll build Render's relationships with development agencies, PE firms, and — over time — systems integrators, to help Render customers who are migrating off competitive platforms, or who are pursuing new builds with Render.
WHAT YOU'LL DO
- Map partner types — agencies, PE firms, SIs — and determine which are the best fit for Render's product and customer base.
- Build relationships with execs at partner firms to understand their priorities, pricing, and delivery models.
- Develop commercial agreements with partners to co-sell Render alongside their own services, to both existing and net-new customers.
- Develop Render-specific narrative and enablement materials: decks, pilot frameworks, ROI overviews.
- Design co-marketing models with partners — customer dinners, digital campaigns, conferences, and joint events.
- Work with our technology partner team to build a co-sell motion for large & enterprise accounts.
- For partners with a portfolio model, like PE firms, design scaled activation programs — webinars, cohorts, office hours — that drive Render adoption across many portfolio companies at once, without requiring 1:1 touch on every account.
- Drive the creation of new pipeline for both Render and the partner, and own the path from first engagement to partner-qualified referral to closed revenue.
- Set up the operating rhythm of each partnership: regular engagement cadences, co-sell activity, and a clear, repeatable path from first call to referral.
- Partner closely with Render's internal Sales and Delivery/CS leaders to align on how reps and partners work together, keep deal registration and pipeline hygiene clean, and avoid channel conflict with internal teams
- Define and report on success metrics for the channel, evolving from early engagement signals toward pipeline and revenue impact as the program matures.
- Build out a team of partner managers over time, dedicated to each partner type.
WHAT WE'RE LOOKING FOR
- 10+ years of experience in B2B partnerships, sales, GM/general management, or solutions engineering roles, ideally at a B2B SaaS, Infra or PLG company.
- A generalist with strong seller DNA — someone who is outcomes-obsessed and comfortable being measured on pipeline creation, deal influence, and revenue, not just relationship-building.
- Comfort building a program without a playbook: you can hypothesize, run small experiments, and iterate quickly rather than waiting for a fully-formed process.
- Real experience working with solutions partners, agencies, or SIs — ideally in co-sell, referral, or partner-sourced revenue motions.
- A proven record of getting deals done — willingness to travel, get in front of partners in person, and find creative ways to keep partners engaged and motivated.
- Strong cross-functional operating skills — you'll work daily with Sales, Delivery/CS, Product Marketing, and Legal, and need to build trust and alignment across all of them.
- Comfort operating at the executive level, both with partner leadership and internally at Render.
- A technical enough orientation to credibly engage with developer-focused partners and speak to how AI is changing the questions partners are asking.
NICE-TO-HAVES
- Experience building or scaling a channel program at an infrastructure, dev-tools, or other PLG-motion company.
- Familiarity with partner/ecosystem tooling such as Crossbeam, or experience running account mapping and pipeline reviews jointly with external partners.
- Experience navigating the emerging AI SI / AI consulting partner category.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
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. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view
Location: Dubai
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
WHY THIS ROLE?
We’re seeking an exceptional Customer Success Manager with deep expertise in the UAE private sector enterprise landscape to lead our most strategic accounts across these dynamic markets. This role requires an individual who understands both the transformative potential of frontier AI and the unique requirements of private sector organizations in Saudi Arabia and the United Arab Emirates.
WHAT YOU'LL DO
STRATEGIC CUSTOMER PARTNERSHIP
- Own the success, adoption, and growth of Cohere’s UAE private sector customers, ensuring they realize maximum value from our AI solutions.
- Build deep, trusted relationships with senior enterprise stakeholders, including CXOs, VPs, Directors, and digital transformation leads.
- Develop comprehensive success plans tailored to each organization’s mission, digital strategy, budget cycles, and unique constraints.
- Serve as the primary point of contact and executive sponsor for your accounts, managing escalations and ensuring customer satisfaction.
- Define and track success metrics aligned with private sector priorities: ROI, revenue growth, operational efficiency, cost savings, and innovation outcomes.
AI ADOPTION & IMPLEMENTATION LEADERSHIP
- Guide customers through the full lifecycle of AI adoption—from use case identification and pilot design through production deployment and scaling.
- Lead secure AI implementation projects in complex enterprise environments, including sensitive systems and on-premises deployments.
- Navigate the unique challenges of UAE private sector AI adoption: legacy system integration, data sensitivity, regulatory compliance (UAE Labour Law, Saudi business regulations), and cultural considerations.
- Create and execute change management strategies to drive user adoption and value realization across diverse enterprise workforces.
- Conduct regular executive business reviews with senior stakeholders, demonstrating ROI, impact, and strategic value.
- Drive contract renewals and account growth by consistently delivering value and building trusted relationships.
CUSTOMER ADVOCACY & PRODUCT INFLUENCE
- Serve as the voice of UAE private sector customers within Cohere, advocating for features and capabilities that address regional enterprise needs.
- Provide strategic feedback to Product and Engineering teams on requirements related to security, explainability, Arabic language support, and ethical AI.
- Contribute to the development of UAE-specific enterprise offerings, implementation playbooks, documentation, and best practices.
- Share customer insights to inform Cohere’s regional go-to-market strategy and positioning.
- Represent Cohere at regional business forums, industry events, and enterprise roundtables.
YOU MAY BE A GOOD FIT IF
REQUIRED EXPERIENCE
- 8+ years of experience in customer success, account management, strategic consulting, or technology delivery roles within enterprise or private sector contexts.
- At least 3-5 years working directly with UAE enterprises across industries such as finance, healthcare, logistics, or technology.
- Proven track record of managing complex, strategic accounts with multiple stakeholders, long sales cycles, and multi-year implementation timelines.
- Experience leading AI/ML, cloud, or enterprise software implementations in secure or highly regulated environments.
- Experience developing and executing customer success strategies, QBRs, and executive engagement programs.
- Deep understanding of how UAE enterprises evaluate, procure, and govern technology solutions.
- Fluent Arabic and English language proficiency—essential for working across regional markets.
- Strong knowledge of regional business culture, including relationship-building practices and hierarchical decision-making processes.
REGIONAL EXPERTISE
- Understanding of the UAE business environment: free zones, mainland companies, and multinational operations.
- Knowledge of relevant regulations: UAE Labour Law (Federal Decree Law No. 33 of 2021), Saudi business regulations, and data protection frameworks.
- Familiarity with national initiatives: Saudi Vision 2030, UAE Digital Transformation Strategy, and Smart Dubai.
- Experience with regional cloud strategies and security frameworks.
NICE TO HAVE
- 3+ years specifically managing GenAI, LLM, or conversational AI implementations.
- Experience with UAE enterprise digital transformation initiatives.
- Direct experience with regional defense, financial services, or healthcare sectors.
- Background in management consulting, systems integration, or digital transformation consulting for regional clients.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Remote (USA)
Workplace: remote
Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.
We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.
For more information, visit arcadia.io.
Why This Role Is Important to Arcadia
Analytics sits at the center of how Arcadia turns complex healthcare data into better outcomes and smarter decisions.
On the product side, that means building and owning the productized analytics engines — risk, medical economics, episodes-of-care, and more — that power Arcadia's platform company-wide, built once and delivered at scale across our entire customer base.
On the Customer Insights side, that means going deep on a specific customer's specific problem: custom data models, bespoke dashboards, advisory work, and long-running embedded programs that don't fit a one-size-fits-all product. We describe Customer Insights' work as sitting between a platform and a plan — more customized and hands-on than an off-the-shelf reporting product, more flexible and embedded in the customer's actual decisions than a traditional outsourced consulting engagement.
We're currently hiring for several closely related analyst roles across this broader Analytics organization — spanning ownership of one of Arcadia's core analytics engines, program-specific analytical development for a major state Medicaid risk-stratification initiative, a ground-up registry build for a national quality organization, versatile project and retainer delivery across our health system and payer customers, and dedicated analytics support for a major national health plan's Medicaid program. All of these roles sit at the Senior Analyst or Lead Analyst level, combine technical excellence with real influence over analytic strategy and (for some placements) product direction, and shape how Arcadia and its customers use data to improve population health outcomes, reduce costs, and enable smarter healthcare decisions.
The skills and experience below are characteristic across these roles as a set — not every requirement applies to every specific seat, and we don't expect any one candidate to bring all of it. We'll work with you during the interview process to identify which role is the best fit for your background and interests.
What Success Looks Like
In 3 months
Ramp into your specific engagement's data model, technical stack, and stakeholder relationships — most Customer Insights engagement has real history and context to build into, not a blank slate
Learn Arcadia's core analytics platform and toolset (QuickSight, Foundry, dbt, the AWS ecosystem) as used in your engagement
Deliver your first piece of analytical work that demonstrates clear value to your engagement's stakeholders
In 6 months
Own meaningful pieces of delivery independently — whether that's a program's analytical development, a portfolio of retainer/project work, or a dedicated account's dashboarding and reporting
Be a credible, independent presence in front of the customers or partners tied to your engagement
Contribute to at least one reusable analytical asset, framework, or automation that extends beyond your immediate engagement
Begin taking on the ongoing health of your area, not just its delivery — standing up a backlog/tech-debt process, or growing into a broader backup role alongside your engagement's primary owner, depending on placement
In 12 months
Be a recognized expert in your engagement area, trusted with its most complex or ambiguous work
Actively identify and pursue opportunities for automation, scalability, and reuse across your work
Have grown into deeper ownership than where you started — full backup or co-owner on an account, sole steward of a program's tech-debt and backlog, or, for analytics-engine placements, the architect shaping that engine's roadmap toward being market-leading
What You'll Be Doing
Technical Analytical Delivery
Translate ambiguous or partially-scoped business and clinical questions into a concrete, buildable data plan, then build the underlying data model, code, and analysis on top of it
Develop and maintain analytical pipelines and reusable data assets using SQL, dbt, and Arcadia's core data platform (Foundry, AWS data lake environments)
For analytics-engine placements: serve as the lead analytics strategist for at least one of Arcadia's productized analytics engines (e.g., risk, medical economics, episodes-of-care), owning it end-to-end while contributing to others
For engagements involving predictive or risk models: design and build the models, partnering with a dedicated Data Science team on training and validation — a consultative relationship, not a daily modeling partnership
Build dashboards, provider scorecards, registries,
self-service reporting tools, benchmarking views,
and other analytical deliverables (QuickSight and beyond) on top of that modeling work, as the engagement calls for it
Maintain the analytical integrity and quality of your work, flagging issues before they reach a customer or partner; for senior placements, oversee analytic quality standards and rigor across engagements more broadly, not just your own
Program and Project Management
Manage delivery — whether that's a single program's delivery calendar and decision log, or a portfolio of concurrent projects across multiple customers — surfacing risks and tradeoffs before they become blocking issues
Create client-facing materials — status decks, decision memos, technical explainers — tailored to a range of stakeholders, from highly technical counterparts to policy or business stakeholders with limited technical background
Delegate routine or repeatable work to junior analysts as your engagement grows, and help cross-train others for coverage
Lead cross-functional analytic initiatives that span multiple teams or engagements
Customer and Cross-Functional Partnership
Serve as a primary or supporting day-to-day contact for your engagement's customers or delivery partners, navigating scope and timeline conversations directly
Partner with Customer Management, Growth, Product,
Technical Operations,
and/or Engineering — depending on placement — on account strategy, product direction, or analytics roadmap; for analytics-engine placements, partner closely with product and engineering to deliver Arcadia's analytics roadmap and contribute directly to product innovation
Hold real authority at the boundaries where your work meets someone else's — able to require rework or hold a handoff that isn't ready (e.g., with a partner Data Science team), or push back on what's actually worth building with Customer Management, Growth, or Product
,
rather than defaulting to whatever's asked
Act as an internal thought leader on your area of expertise, contributing to Arcadia's broader analytics strategy and reusable methodology — and, for some placements, an external one, representing Arcadia's analytic capabilities at customer meetings, industry conferences, and in publications
Team Contribution
Mentor and develop junior analysts, building organizational capacity beyond your own individual delivery
Take ownership of your area's long-term health, not just its immediate delivery — a backlog/tech-debt log, a growing backup role on an account, or a roadmap for an analytics engine, depending on placement
Apply AI tooling as a standard part of your workflow — analysis, QA, documentation — not an occasional accelerant
Identify opportunities for automation, scalability, and reusability in analytical delivery, and help build those improvements out
What You'll Bring
Strong SQL and data modeling expertise — able to translate ambiguous business or clinical requirements into a concrete data plan, then build the underlying code and analysis on top of it
Healthcare data experience — claims and/or clinical data, with value-based care familiarity
Direct customer- or partner-facing experience — comfortable scoping and presenting without close oversight
Comfortable adopting AI tooling as a standard part of an analytical workflow
For Lead-level placement: demonstrated experience leading analytical work independently, managing multiple stakeholders, and mentoring less experienced analysts
Note: our experience bar across these roles generally skews toward Lead-level expectations, even for some Senior Analyst placements — but not every skill listed here or below applies to every specific seat.
Would Love For You To Have
Experience with dbt-based analytics engine development (e.g., risk, medical economics, episodes-of-care) and partnering with product/engineering on roadmap
Dashboarding experience — QuickSight or a comparable BI tool
Enough quantitative/ML fluency to build models and hand them to a Data Science team for training
Experience with medical economics, risk algorithms, quality data, and/or episodes-of-care analytics
Statistical or biostatistics fluency — risk-adjustment, odds-ratio, or observed-to-expected benchmarking, etc.
Direct experience with clinical quality or accreditation registries
Prior experience with state Medicaid programs or similar large government health programs
Prior experience in a project-based/retainer delivery model spanning multiple customers, rather than a single dedicated account
Experience working within a prime contractor or partner structure on shared delivery
Experience presenting analytic capabilities externally — customer meetings, industry conferences, publications
Python for analysis and QA; familiarity with the AWS ecosystem, Jira, and Confluence
Experience with data governance or data-product/monetization considerations
Note: this list spans skills relevant to several different roles across the Analytics organization — we don't expect any given candidate to have all of them. Bring what you have; we'll talk through the rest during the interview process.
What You'll Get
Become a member of the talented, energized, diverse and purpose-driven Arcadian Community with decades of collective experience in population health, product development, and data science
Employee driven programs and initiatives for personal and professional development
A flexible, remote-friendly company with personality and heart
Competitive compensation and strong benefits, including Flexible Time Off
The opportunity to:
Own real, high-stakes analytical work across some of Arcadia's most complex customer relationships and highest-visibility internal analytics products
Work across a genuinely varied set of problems — deep technical program ownership, versatile multi-account delivery, or company-wide analytics engines, depending on placement
Build models and analytical assets that directly shape care and coverage decisions for the members and patients they serve
Senior Analyst:
$125,000 – $145,000 a year
Lead Analyst:
$145,000 – $170,000 a year
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
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
As a Business Development Representative at Anthropic, you'll drive the adoption of safe, frontier AI by optimizing our lead management processes and identifying new market opportunities. In this pivotal role, you'll enable our sales team to focus on high-value, revenue-generating activities by leveraging your analytical skills, project management expertise, and strategic thinking. Your role is critical in streamlining our sales pipeline and uncovering untapped potential in the AI market.
Responsibilities:
Maintain full ownership of pipeline generating activities in your sales territory
Collaborate with sales teams to understand their needs and optimize lead handoff processes
Manage and prioritize a high volume of inbound leads
Conduct initial qualifications for high-potential leads
Outbound against strategic prospects to generate high-intent opportunities with Startup and Enterprise teams
Support the development and execution of strategic outbound initiatives
Provide data-driven insights to inform sales strategies and resource allocation
Continuously refine processes to improve efficiency and effectiveness
You may be a good fit if you have:
2-3+ years of experience in a fast-growing startup, preferably in lead management and project management roles or 2-3+ years of experience in a field like finance & investment banking, consulting or software engineering
Strong analytical skills with the ability to translate data into actionable insights
Experience with Salesforce, HubSpot, and SQL (preferred)
Excellent communication and interpersonal skills
Ability to work in a fast-paced, dynamic environment
Passion for AI/ML and understanding of API-first or consumption-based business models
Bachelor's degree in Business, Marketing, Computer Science, or related field
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:
$116,480
—
$131,040 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote, Canada; Remote, United Kingdom; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As an AI Transformation Owner at GitLab, you'll shape your function's AI strategy and build the solutions that deliver it. You are the person responsible for identifying where AI can fundamentally change how your org operates, partnering with your Executive Sponsor to align on the biggest challenges, and driving measurable outcomes against them.
Think of this as a product management role where the product is your org's way of working. You'll manage the full lifecycle: understanding how work flows today, deciding where AI should reshape it, prioritizing what gets built and in what order, and ensuring what ships actually gets adopted. You'll also prototype solutions, configure agents, and prove what's possible before pulling in engineering support to scale it.
You will work closely with an AI Engineer who sits within the Enterprise AI team. Together you form a partnership: you bring the business context, process intelligence, and strategic prioritization. They bring the technical depth, production-grade delivery, and architecture decisions. You'll build working solutions at the no-code and low-code layer, and partner with the AI Engineer on the right approach, tooling, and structure.
What you'll do
Strategy & Prioritization
Own your function's AI strategy,
aligned with your Executive Sponsor and business priorities. Understand which metrics matter to the org, identify what will move the needle, define how you'll measure impact, and track progress over time.
Map how work flows
across your function end-to-end, including the handoffs upstream and downstream to other orgs. Identify where the real constraints are, not just the ones your team can see. Focus on the 100x problems: where could leveraging AI in a workflow let your org execute it orders of magnitude faster, or at 100x more volume than before?
Manage intake
of AI requests, ideas, and pain points from across the function, including via your Champion network. Ensure every team member has a clear route to surface what they need, rather than building independently.
Prioritize strategically
against business outcomes and executive guidance. Hold the line on priorities - we cannot change direction every two weeks - and ensure the AI Engineer's time is spent on the highest-impact work.
Adoption & Change Management
Reimagine, not just automate.
Challenge your org to think beyond injecting AI into existing workflows. Work with Enterprise AI to spot opportunities to fundamentally rethink how work gets done.
Drive adoption and change management
together with the AI Engineer. The best AI solution is worthless if nobody uses it. Create the channels, rituals, and feedback loops that make AI visible in your function: shared spaces for teams to show what they've built, regular office hours, onboarding for new hires, and celebration of wins. Own the rollout and iteration needed to make AI initiatives stick.
Coordinate with Enterprise AI
to ensure your function benefits from patterns, tools, and learnings emerging across other parts of the business.
Build and bridge the Champion network in your function.
Champions are the peer community that extends your reach beyond what you and the AI Engineer can deliver directly. From early in the role, identify and recruit Champions across sub-teams (5-10% time, formally agreed with their manager), run a regular Champion sync, host demos to the wider function, and act as their bridge to Enterprise AI. Champions are not your reports: you coordinate them, you don't manage them. Without this network, your reach is capped.
Hands-On Building & Agent Operations
Build AI agents
using no-code and low-code platforms (e.g. Glean, Workato, similar tools). Go from idea to working prototype without waiting for engineering.
Author and iterate on skills files
that define how AI agents behave. Refine instructions based on real usage and share reusable skills across the function.
Configure MCP servers and tools,
giving agents access to the business systems they need. Partner with the AI Engineer on what to connect and how to do it securely.
Own your function's fleet of agents.
Some agents will be used directly by people in your org. Those that aren't, you own. Either way, you're accountable for their performance: tracking KPIs, running evaluations after model or data changes, and iterating based on what you learn.
Expect to rebuild.
AI tools and models evolve fast. The agent you built last month may need to be replaced, not patched. You should be comfortable sunsetting your own work when a better approach emerges, and helping your org stay current rather than attached to what exists today.
What you'll bring
Business & Strategic
Deep knowledge of your function's operations.
You understand how work moves through your org, where it gets stuck, and why. You can trace a process end-to-end and explain how it connects to the teams around it.
Strategic prioritization skills.
You've managed competing demands before and can make hard calls about what matters most. You think in terms of business outcomes, not activity.
A product management mindset.
You naturally think about intake, backlog, iteration, and adoption. You're comfortable defining success metrics and holding yourself accountable to them.
Strong communication and influence.
You'll be the person saying "not yet" to some teams and "think bigger" to others. You need the credibility and interpersonal skills to make both of those conversations land.
Cross-functional instincts.
You default to understanding how your org's processes affect and are affected by the teams around you - not just optimising in isolation.
Experience building peer networks or communities of practice.
You've recruited and sustained volunteer contributors before, whether as a guild lead, champion program owner, or community organizer. You know how to motivate people whose time you don't directly own.
Hands-On & Technical
Comfortable building with AI tools.
You don't need to write production code, but you should be able to build a working agent, configure a skill, connect an MCP server, and troubleshoot when something isn't working. Think: power user, not software engineer.
Ready to learn fast.
Experience with or willingness to quickly pick up no-code/low-code AI platforms, prompt engineering, and agent configuration. You'll be trained on GitLab's specific tooling, but you should arrive ready to get your hands dirty.
Strong conceptual understanding of AI capabilities
- summarization, classification, generation, automation, agentic workflows - and a commitment to staying current. The landscape shifts constantly. The tools you use today may be obsolete in weeks. You stay on top of new developments so that your org's AI strategy reflects what's actually possible, not what was possible six months ago.
Ability to map data flows
- structured and unstructured. Understand where agents need context, and figure out where humans should interface with automated workflows and at what steps.
About the team
You will partner closely with Enterprise AI within the Enterprise Technology & AI organization, while remaining embedded in your own function. Enterprise AI provides the technical delivery capability, platforms, and patterns. You provide the business context, prioritization, building at the no-code layer, and adoption muscle. Together, you form the core of your function's AI transformation.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$203,200
—
$345,600 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: United States, Remote
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Technical Planning Analytics Analyst
Remote, United States
*This is a 6 month contract assignment
At Sony Interactive Entertainment (SIE), we are committed to redefining the future of Finance through innovation, transformation, and operational excellence.
This role sits within SIE’s Finance Transformation Office (FTO) and supports PARIS, a business-critical IBM Planning Analytics (TM1) platform used across the SBG Finance planning process. The Business Analyst will help ensure the platform is reliable, available, and appropriately configured throughout budget and forecast cycles.
Working across Finance and technical teams, this role will support users, troubleshoot system and data issues, contribute to requirements and testing, and help drive improvements in planning processes, automation, and data flows. The ideal candidate brings a strong understanding of FP&A and financial planning systems, with TM1 experience preferred and other enterprise planning platforms also considered.
Role & Responsibilities
Provide support to users of the
IBM Planning Analytics
finance planning tool throughout the planning cycle, including annual budgeting and quarterly forecasting. Responsibilities include:
Application administration
New user setup
Support for reports created using Planning Analytics for Excel
Resolution of ad-hoc user queries
Maintenance of system documentation
Delivery of end-user training
Partner with FP&A and technical teams to identify and implement system improvements within IBM Planning Analytics in alignment with the departmental roadmap.
Work alongside the development team on key workstreams, including:
Requirements gathering
Test case preparation
Unit testing
Documentation
Training and user handover
Delivery of system upgrades and enhancements
Project manage and deliver system upgrades and improvements based on change requests, including testing code updates and roadmap changes as required.
Understand data flows and identify opportunities to make them more dependable and repeatable while strengthening integrations with other enterprise tools.
Continually improve reporting and analysis processes by automating or simplifying self-service support for customers.
Challenge the status quo and identify process improvement opportunities that drive innovation.
Perform other system-oriented duties as required by business needs.
Skills & Experience
Strong understanding of finance principles, with previous experience supporting financial planning, budgeting, and forecasting processes and working with finance analysts.
Ability to interact effectively with users at all levels of seniority and manage stakeholder expectations across the organization.
4+ years of IBM Planning Analytics development experience (v2.0 or higher), including knowledge of:
Server installation and system configuration
Cube and application design
Planning Analytics TI and Chores
Rules and Feeders
Planning Analytics Security, including Element Security
MDX and SQL
Planning Analytics REST API, preferably through Cubewise Canvas
Hands-on experience with:
Python
TM1Py
HTML
JavaScript
Excellent verbal, written, and presentation skills.
Proficiency with Microsoft Excel.
Bachelor's degree or equivalent.
Preferred Skills
Exposure to master data management solutions.
Experience with Cognos BI integration.
Knowledge of Lean/Six Sigma process improvement methodologies.
Educational or professional background in Computer Science, Finance, Economics, Statistics, or a related field.
Desire to continue developing technical knowledge and skill sets.
Please note:
Candidates invited to the interview stage will be required to complete a
technical assessment
.
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At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click
here
to learn more.
The estimated base pay range for this role is listed below.
$113,500
—
$170,300 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Remote-Friendly, United States
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. Anthropic’s Data Center team is responsible for delivering that physical infrastructure — partnering with build partners, equipment manufacturers, and utilities to stand up facilities that can reliably power some of the largest accelerator clusters in the industry.
As a Data Center Electrical Engineer based in the US, you’ll lead the electrical design of our facilities across our rapidly expanding US portfolio — owning the architecture from the utility service entrance through to the rack. You’ll develop and maintain the reference designs and specifications our build partners work against, review their engineering submittals, and run the analysis needed to make confident decisions on topology, redundancy, and equipment selection. You’ll ensure the electrical architecture keeps pace with rapidly increasing rack densities and the unique load characteristics of large-scale ML training.
A central part of this role is speed-to-capacity through prefabrication and modular construction. You’ll help drive Anthropic’s offsite-manufactured electrical strategy — modular skids, e-houses, and prefabricated power assemblies — that compress schedules and reduce onsite labor. You’ll bring deep familiarity with US electrical codes and the local network and regulatory environment, and act as Anthropic’s on-the-ground electrical subject-matter expert with local utilities and interconnection/transmission operators (e.g., ISOs/RTOs), agencies having jurisdiction, vendors, and contractors. This is also a highly cross-functional role: you’ll work with our hardware and compute teams to translate accelerator requirements into electrical design criteria, and with supply chain to qualify regional equipment vendors and create optionality in a constrained market.
Responsibilities
Electrical design & engineering
Lead the electrical design of critical data center equipment across the US portfolio, including utility interface and substation, site-wide medium-/high-voltage infrastructure, generators, uninterruptible power supplies (UPS), switchgear, transformers, and grounding systems.
Develop and maintain Anthropic’s electrical basis of design, reference architectures, and technical specifications for critical power distribution — covering switchgear, UPS systems, PDUs, busway, and rack power delivery — producing designs that meet or exceed our quality requirements while staying within budgetary targets.
Perform and validate engineering studies including short-circuit, protection coordination, arc flash, load flow, and power quality analysis; use findings to steer design decisions and equipment selection.
Read, interpret, and validate data center floor plans and technical drawings, and design and plan DC hall layouts for newly allocated spaces — including rack positioning, structured cabling, power distribution, and coordination with the cooling design.
Prefabrication & modular delivery
Drive Anthropic’s prefabricated and modular electrical strategy — developing modular skids, e-houses, and prefabricated power assemblies, and partnering with external engineering and manufacturing teams to evaluate DC construction efficiency opportunities and a productization roadmap that accelerates deployment and reduces onsite labor.
Design for offsite manufacture and onsite assembly: coordinate the interface between prefabricated components and onsite installation, and manage temporary power sequencing tied to commissioning milestones.
Drive standardization of modular electrical designs across sites to accelerate deployment timelines while preserving flexibility for site-specific constraints and evolving hardware generations.
Partner, vendor & utility coordination
Review and approve electrical design packages, submittals, and shop drawings from build partners and MEP consultants, ensuring designs meet capacity, reliability, and maintainability requirements; review proposed technologies and clarify design justifications.
Work with regional vendors and manufacturers to specify the appropriate electrical equipment, and partner with supply chain to build a diversified vendor base that mitigates lead-time and single-source risk.
Work with local utilities and interconnection/transmission operators (e.g., ISOs/RTOs) to understand and define site utility and network connection requirements, and with local agencies having jurisdiction to ensure compliance with the National Electrical Code (NFPA 70/NEC), NFPA, IEEE, and ANSI requirements, and other jurisdictional requirements.
Present findings and proposals to internal stakeholders and DCO teams through clear reports and presentations, and defend design positions when challenged.
Delivery, construction & commissioning
Define project scope and provide technical support for information requests prior to and during construction; coordinate and oversee the implementation of data center infrastructure with vendors, contractors, and internal teams, ensuring work follows approved designs and complies with safety, regulatory, and operational standards.
Work with commissioning teams to test and validate the installation, operation, and performance of electrical systems; resolve field engineering issues and review test results against design intent.
Manage concurrent projects across multiple geographies, and travel to sites for design review, electrical systems audits, engineering evaluations, and startup support alongside onsite field engineers.
Contribute to the continuous improvement of Anthropic’s internal electrical design standards and delivery practices, and act as a leader within the global engineering group and across the internal and external teams that support our data centers.
You may be a good fit if you
Have 10+ years of electrical engineering experience in mission-critical facilities, with substantial time spent on data center or other high-availability electrical distribution design across the project lifecycle — from concept design through construction, commissioning, and handover.
Have deep familiarity with US electrical codes and standards — including the National Electrical Code (NFPA 70/NEC), NFPA 70E (electrical safety), IEEE standards (e.g., 1584 for arc flash), and UL/ANSI equipment standards (e.g., UL 891, UL 1558 for switchgear) — and with local utility interconnection and regulatory requirements (utility interconnection processes, ISO/RTO market rules).
Have hands-on experience with prefabricated and modular data center electrical infrastructure — design for offsite manufacture, modular skids/e-houses, and the coordination between prefabricated components and onsite assembly.
Hold a bachelor’s degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or a related field; RPEQ or CPEng registration (or eligibility) is valued but not required.
Have hands-on experience producing and reviewing electrical construction documents, single-line diagrams, and equipment specifications, and can interpret data center schematics and technical layouts with confidence.
Have strong knowledge of rack layout, structured cabling, power distribution, and cooling infrastructure in high-availability data center environments.
Are fluent in power systems analysis and comfortable running or critically reviewing studies in tools such as SKM, ETAP, or EasyPower.
Understand critical power topologies (2N, N+1, distributed redundant, block redundant) and can articulate the trade-offs between them for different reliability and cost targets.
Have worked directly with electrical equipment manufacturers, vendors, and contractors, and can evaluate products on technical merit, not just datasheet claims.
Communicate clearly with both technical peers and non-specialist stakeholders, and are results-oriented, with a bias toward practical solutions and a willingness to pick up work outside your core remit when the team needs it.
Strong candidates may also have
Direct project experience delivering data centers in multiple US markets (e.g., Virginia, Texas, Arizona, Ohio, Oregon) and deep familiarity with the National Electrical Code (NFPA 70), NFPA 70E, and the IEEE color book series alongside the US standards above.
A track record building modular prefabricated products in electrical or mechanical areas of the data center, and driving designs toward offsite manufacturing.
Background in medium-/high-voltage distribution, on-site generation, or energy storage integration, including battery energy storage systems (BESS) and renewable generation sources.
Exposure to liquid-cooled infrastructure and its implications for electrical room layout and load distribution.
Prior work at a hyperscaler, colocation provider, or MEP consultancy serving large data center clients.
Experience driving reference designs or standards adopted across multiple sites or by external partners.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote-Friendly, United States
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. Anthropic’s Data Center team is responsible for delivering that physical infrastructure — partnering with build partners, equipment manufacturers, and vendors to stand up facilities that can reliably cool some of the largest accelerator clusters in the industry.
As a Senior Data Center Mechanical Engineer based in the United States, you’ll lead the design direction and technical oversight of building mechanical systems — cooling, chilled-water distribution, liquid cooling, plumbing, and fire protection — across our rapidly expanding U.S. portfolio. This is a senior individual contributor role focused on driving and reviewing mechanical design from concept through detailed design and construction documentation produced by external engineering firms and development partners, ensuring every facility meets Anthropic’s standards for reliability, efficiency, and scalability. You’ll own the mechanical design direction from Basis of Design through construction and commissioning, serving as the primary technical interface between Anthropic’s internal teams and our external engineering and development partners.
A central part of this role is speed-to-capacity through prefabrication and modular construction — modular cooling skids, prefabricated piping assemblies, and design for offsite manufacture that compress schedules and reduce onsite labor. You’ll bring deep familiarity with U.S. mechanical, plumbing, and fire codes and the local regulatory environment, and ensure the cooling architecture keeps pace with rapidly increasing rack densities and the shift toward direct-to-chip liquid cooling. Strong candidates will bring deep mission-critical mechanical design experience and the judgment to make sound trade-offs when the standard playbook doesn’t apply.
Responsibilities
Design direction & review
Drive mechanical design concepts for data center cooling plants, chilled-water distribution, liquid cooling (direct-to-chip and CDUs), plumbing, and fire protection systems.
Review and direct design drawings, specifications, and construction documentation produced by external engineering firms, ensuring alignment with Anthropic’s Basis of Design and owner requirements.
Evaluate design submittals, shop drawings, and equipment selections; respond to RFIs with clear technical direction.
Identify design conflicts and drive resolution across mechanical, electrical, and controls disciplines.
Maintain and evolve Anthropic’s internal mechanical design standards and reference configurations.
Prefabrication & modular delivery
Drive Anthropic’s prefabricated and modular mechanical strategy — modular cooling skids, prefabricated piping and pump assemblies, and design for offsite manufacture and onsite assembly — to accelerate deployment and reduce onsite labor.
Drive standardization of modular mechanical designs across sites while preserving flexibility for site-specific constraints and evolving hardware generations.
External partner & vendor coordination
Serve as the primary mechanical engineering point of contact for external developers, design engineers, and construction partners across the U.S. portfolio.
Develop scopes of work, equipment specifications, and bid packages for mechanical infrastructure.
Perform technical due diligence on third-party and colocation facilities, evaluating mechanical designs against program requirements and redundancy targets.
Coordinate with equipment vendors and manufacturers on cooling system procurement, including chillers, CDUs, pumps, and piping assemblies, and partner with supply chain to mitigate lead-time and single-source risk.
Construction & commissioning
Monitor mechanical system installation for compliance with design intent, applicable U.S. codes and standards, and industry best practice.
Conduct site visits to review progress, resolve field issues, and validate construction quality; travel to sites across the region as needed.
Support testing and commissioning of mechanical systems; analyze data and troubleshoot issues against design intent.
You may be a good fit if you
Have 10+ years of experience designing building mechanical systems for data centers or mission-critical facilities, across the project lifecycle from concept design through construction, commissioning, and handover.
Have deep familiarity with U.S. mechanical, plumbing, and fire codes and standards — including the International Mechanical Code (IMC), International Plumbing Code (IPC), International Energy Conservation Code (IECC), International Building Code (IBC), NFPA 13 (automatic sprinkler systems), ASME B31 piping codes, and applicable state and local amendments, alongside ASHRAE guidance (incl. TC 9.9).
Have strong knowledge of chilled-water systems, air-cooled cooling plants, liquid cooling (direct-to-chip and CDUs), and redundant piping configurations.
Have hands-on experience with prefabricated and modular mechanical infrastructure — modular cooling skids, prefabricated piping assemblies, and design for offsite manufacture.
Have experience driving and reviewing mechanical design work produced by external engineering consultants, and are proficient reading and marking up construction drawings, P&IDs, and single-line diagrams.
Hold a bachelor’s degree in Mechanical Engineering; a Professional Engineer (PE) license (or eligibility) is valued but not required.
Communicate clearly and can drive technical decisions across internal teams and external partners, and are results-oriented with a bias toward practical solutions.
Are able to travel up to ~30% to data center sites across the region.
Strong candidates may also have
15+ years of experience designing building mechanical systems for data centers or mission-critical facilities.
Direct project experience delivering data centers in multiple U.S. markets (e.g., Virginia, Ohio, Texas, Arizona, Oregon).
Experience with thermal-hydraulic modeling software (AFT Fathom, Cadence 6SigmaET, ANSYS, or similar), CFD modeling, and energy analysis.
Familiarity with controls/BAS systems and sequences of operation for cooling plants.
Experience preparing SOWs, facility audits, and TCO analyses.
A track record building modular prefabricated products in mechanical or electrical areas of the data center, and driving designs toward offsite manufacturing.
Proficiency with Revit MEP or AutoCAD MEP.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's R&D teams depend on a large and fast-growing ecosystem of outside service providers. The biggest and most complex piece of it is Human Data Operations (HDO): vendors that supply the human-generated data, evaluations, and expert feedback our research depends on. Alongside HDO is a growing set of other R&D services, including labs, outsourced and outsourced service providers, and other specialized service partners that our research and special-initiative teams rely on.
We are hiring a Strategic Sourcing Business Partner to own the commercial side of this portfolio. Today these vendors have business owners and Procurement Operations support, this role will drive real ownership of the commercial terms end to end including contracts redlines, deployment of contract templates, and the negotiation.. There is significant untapped value in this portfolio (in pricing, in contract terms, and in vendor performance), and this role exists to go get it.
The job has four parts: run the contracts (redlining, templates, and renewals). This person will lead the commercial negotiations, partnering with the business to positively influence decision-making and deal structure, and manage vendor performance once the deal is signed. Success means moving fluidly between the deal and the relationship: negotiating strong terms, then executing against them through QBRs, SLA enforcement, and escalations as our needs change.
We use Claude as part of our daily workflow and are looking for someone who wants to help define what an AI-native sourcing function looks like, including how AI changes deal-making and vendor management itself over the next few years.
How this role fits within Procurement
Procurement Ops Business Partners own the primary relationship with each business vertical and are the front door for intake and day-to-day requests. Strategic Sourcing partners closely with them and owns the commercial outcome: negotiation strategy, contract terms and redlines, contract compliance, ongoing vendor performance, and sustained value creation for the leaders of these verticals working closely day to day with Legal (legal positions, templates, terms), Finance & Strategy (budgets, forecasts, and strategy), and Security / TPRM (risk assessment, approvals, process).
Responsibilities
Contract management and templates
Own the commercial redline for HDO and R&D services agreements (MSAs, SOWs, order forms, amendments, and renewals), partnering with Legal on legal terms, so deals move quickly while maintaining negotiation posture
Build and maintain the template library for these categories (standard MSA and SOW templates, pricing exhibits, SLA schedules, and a fallback playbook) so that most deals start on our paper rather than the vendor's
Run the renewal calendar for the portfolio so that no agreement auto-renews or lapses without a deliberate commercial decision
Keep contract data (rates, volume commitments, SLAs, key dates) current in our contract and intake systems so obligations are visible and enforceable
Negotiations and commercial strategy
Lead pricing and commercial negotiations across the portfolio, from strategy and deal structure through terms, SLAs, and executive alignment; you will personally run the ones that matter most
Build playbooks and Claude-powered tools for redlining, negotiation prep, benchmarking, and vendor reporting that raise the throughput and deal quality of the whole team
Design pricing structures that fit how R&D actually consumes these services (per-unit, per-hour, capacity, tiered, and committed-volume models) and that align vendor incentives with quality and throughput
Build and maintain a competitive bench for every mission-critical category via RFPs and competitive processes: qualified second sources, contracts structured so volume can move as needed, and flexible pricing constructs
Track and report savings, cost avoidance, and improved terms for the portfolio
Vendor management and value creation
Own the vendor management cadence for mission-critical vendors: QBRs, scorecards, SLA and quality reporting, and remedies when performance slips
Manage escalations between R&D teams and vendors and drive them to resolution
Identify consolidation, rationalization, and renegotiation opportunities as volumes shift, and bring executive-ready recommendations to R&D and Finance leadership
Manage TPRM, security, and compliance approvals, audit rights, and data-handling terms in partnership with Security and Legal
Relationships & Partnership
Partner with Procurement Ops BPs and leadership in R&D and special-initiative teams to understand upcoming needs and growth, and get vendor capacity and terms in place ahead of them
Partner with Finance & Strategy on vendor budgets, forecasts, and multi-year cost models for the portfolio
You may be a good fit if you have
7+ years of strategic sourcing, category management, vendor management, or commercial negotiation experience, primarily in services categories (data services, BPO or outsourced operations, lab or research services, managed services, staffing, or similar)
Hands-on contract experience: you have personally redlined MSAs and SOWs, built templates and fallback positions, and know where the commercial value sits in a services contract (pricing exhibits, volume commitments, termination rights, SLAs and remedies, IP and data terms) and when to bring in Legal
A track record of personally leading multi-million dollar services negotiations to strong outcomes, not just managing the process around them
Judgment about where leverage lives and how hard to use it: you can look at a portfolio of many vendors and many concurrent deals and know which ones deserve a deep negotiation and which need a fast, standard path, and you have a reputation with past vendors and colleagues for being commercially tough and fair with partners that need to scale with us
Strong analytical skills: rate and unit-cost analysis, TCO modeling, and pricing model design; you can find the real economics underneath a vendor proposal
Services vendor management experience: SLAs, scorecards, QBRs, and escalations, and how to enforce them without damaging the relationship
Comfort operating at pace: high deal volume, ambiguity, imperfect information, and a bias to execute rather than perfect
Clear, direct communication with executives internally and across the table, including in difficult conversations and escalations
Fluency with AI tools in your daily work and demonstrated experience in rebuilding your own workflows around them
Strong candidates may have
Experience sourcing human data, data labeling, annotation, or evaluation vendors, or comparable BPO and outsourced operations categories, and a point of view on where that market is heading
Experience sourcing lab services, scientific equipment and consumables, robotics or hardware services, or other technical services for a research organization
Experience at a hypergrowth company renegotiating or restructuring vendor pricing and contract structures under the growth curve
Experience standing up sourcing coverage for a category from scratch (templates, playbooks, benchmarks), not just operating within an established program
Experience designing vendor scorecards, SLA frameworks, and performance management programs
Familiarity with the confidentiality, data-handling, and IP terms that matter for research and data vendors
A point of view on how AI will change services vendor relationships and negotiations, backed by things you have actually tried
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:
$190,000
—
$230,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Seoul, South Korea
ГибридSan Francisco
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УдалённоPortugal; Georgia; Bulgaria; Vietnam; Cyprus; Montenegro
УдалённоheadRemote: United States
УдалённоDubai
УдалённоleadRemote (USA)
География найма не уточнена
УдалённоRemote, Canada; Remote, United Kingdom; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
United States, Remote; Candidates invited to the interview stage will be required to complete a
