Location: Remote-Friendly (Travel Required) | Canada
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is scaling compute internationally — growing our footprint in new countries. We're hiring a Country Lead to be the single, accountable owner of our compute strategy in Canada: the person who leads a team of cross-functional experts driving site selection, leasing, energy, financing, government relations and policy, community engagement, construction, and operations. This person will be ultimately responsible for bringing gigawatts of compute online in Canada.
You won't build this alone. The specialist functions — leasing, energy, policy, construction, finance — are hired and managed centrally by functional leads based in San Francisco. Your job is to provide cross-functional leadership over that team in-country: coordinating and driving accountability across workstreams, while representing Anthropic externally with government and industry counterparts in Canada.
This is a high-ambiguity, high-trust role for someone who can bring structure to a fast-growing, cross-functional effort without needing formal authority to do it.
Responsibilities
Own the end-to-end strategy and coordination for Anthropic's compute build-out in Canada, from initial site selection through construction and operations. While each component will be run by subject matter experts, this role will act as the overall leader and coordinator of that team.
Serve as the primary point of accountability for cross-functional workstreams; leasing, financing, energy, government relations/policy, community engagement, construction, and operations.
Provide working leadership to the in-country cross-functional team, driving alignment and unblocking issues.
Represent Anthropic with government officials, utilities, energy providers, and other external stakeholders in Canada.
Build and maintain relationships within the Canadian government and the energy industry to support site, power, and policy outcomes.
Track progress and surface risks across parallel workstreams as the country's compute footprint scales from initial sites to multiple gigawatts.
Translate between Anthropic's global compute priorities and the specific regulatory, political, and market conditions in Canada.
Requirements
Canadian national with established links into government and the energy industry strongly preferred.
Structured thinker with a track record of learning new domains quickly and going deep fast.
Excellent communicator, comfortable representing Anthropic to senior government, utility, and industry stakeholders.
Demonstrated ability to lead and coordinate cross-functional teams without direct line authority.
Hyper-organized and detail-oriented, with the ability to own multiple concurrent workstreams at once.
Comfortable with ambiguity; a problem solver who drives structure into undefined situations.
Background in energy, infrastructure, or a related sector.
Nice to have
Prior experience with large-scale infrastructure or datacenter development.
Existing relationships with Canadian federal or provincial government bodies relevant to energy, land use, or industrial development.
Experience managing or overseeing capital-intensive projects.
Familiarity with the compute, cloud, or datacenter industry.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We're looking for a Capabilities Researcher to join the team building Claude Security. In this role, you'll identify which security capabilities in frontier models are ready to build on, measure how well they perform, and work out how to make them useful to customers who are not security experts.
Frontier models have become substantially more capable at security work over recent generations, and they continue to improve with each release. That progress creates a set of practical questions: which capabilities are reliable enough to depend on, how they perform in realistic conditions, how they behave when an adversary is involved, and where their limits are. You'll be responsible for answering those questions through fast prototyping and rigorous evaluation, and your findings will shape what the team decides to build.
You'll also work on making those capabilities usable. Together with engineers on the team, you'll design the scaffolding, tooling, and defaults that let a strong model capability do useful work for a non-expert, and you'll stay involved as it becomes a product.
This is a research role on a product team, with a broad charge and real latitude in what you investigate. It suits someone who already has ideas about what AI should be able to do for security teams and wants the models, the time, and the engineering support to pursue them.
Responsibilities
Prototype rapidly to find define the AI frontier for cybersecurity work
Design evaluations that measure model performance on the work security teams actually do
Build the datasets, harnesses, and scoring those evaluations depend on
Engage with the cybersecurity community to help define where AI can make the most impact
Work with engineers and researchers to operationalize promising capabilities into something customers can rely on
Track how model capabilities for security are changing, and what that means for what we build next
Share findings that inform product direction, and partner with product leadership on priorities
You may be a good fit if you:
Have deep expertise in one or more security domains, such as vulnerability research, exploit development, reverse engineering, malware analysis, incident response, or offensive security
Have built AI-powered tools or capabilities for security work
Can get from an idea to a working prototype quickly, and abandon the ones that don't hold up
Are comfortable designing rigorous evaluations and interpreting the results honestly
Can write and communicate clearly about technical findings
Have 7+ years of experience in security research, security engineering, or a closely related field
Strong candidates may also have:
Published research, CTF results, CVEs, or open source security tooling
Experience with model evaluation, benchmarking, or red teaming
Experience building agentic applications
Familiarity with the safety considerations of AI in security contexts
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:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York, NY (HQ); San Francisco, CA
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
WHAT YOU’LL DO
- Full stack development, building models to consume, transform, and expose data to stakeholders and production systems
- Drive a culture of experimental design, testing agenda, and best practices
- Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way
- Collaborate with Finance teams (e.g. GTM Finance, StratFin) to develop financial insights and influence business decisions
- Work closely with data engineering teams to capture, move, store, and transform raw data into highly actionable insights, and partner with business teams to turn those insights into action
WHAT YOU NEED
- Minimum of 3 years of industry experience in Data Science / Software Engineering / Finance
- Strong AI proficiency as a lever to quickly adopt new skills and subject matter
- Track record of shipping high quality products and features at scale
- Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
- Familiarity with financial metrics and processes (e.g. contribution profit, financial statements, monthly close) and / or B2B enterprise sales cycle metrics and processes
- Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries
NICE-TO-HAVES
- Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)
- Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards
- Strong intuition on business strategy and customer empathy (ROI, growth channels, sales cycles, customer incentives)
- Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
- Experience partnering with finance teams or within the payments and financial technology space
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
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
Anthropic is scaling compute internationally — growing our footprint in new countries. We're hiring a Country Lead to be the single, accountable owner of our compute strategy in Korea: the person who leads a team of cross-functional experts driving site selection, leasing, energy, financing, government relations and policy, community engagement, construction, and operations. This person will be ultimately responsible for bringing gigawatts of compute online in Korea.
You won't build this alone. The specialist functions — leasing, energy, policy, construction, finance — are hired and managed centrally by functional leads based in San Francisco. Your job is to provide cross-functional leadership over that team in-country: coordinating and driving accountability across workstreams, while representing Anthropic externally with government and industry counterparts in Korea.
This is a high-ambiguity, high-trust role for someone who can bring structure to a fast-growing, cross-functional effort without needing formal authority to do it.
Responsibilities
Own the end-to-end strategy and coordination for Anthropic's compute build-out in Korea, from initial site selection through construction and operations. While each component will be run by subject matter experts, this role will act as the overall leader and coordinator of that team.
Serve as the primary point of accountability for cross-functional workstreams; leasing, financing, energy, government relations/policy, community engagement, construction, and operations.
Provide working leadership to the in-country cross-functional team, driving alignment and unblocking issues.
Represent Anthropic with government officials, utilities, energy providers, and other external stakeholders in Korea.
Build and maintain relationships within the Korean government and the energy industry to support site, power, and policy outcomes.
Track progress and surface risks across parallel workstreams as the country's compute footprint scales from initial sites to multiple gigawatts.
Translate between Anthropic's global compute priorities and the specific regulatory, political, and market conditions in Korea.
Requirements
Korean national with established links into government and the energy industry strongly preferred.
Structured thinker with a track record of learning new domains quickly and going deep fast.
Excellent communicator, comfortable representing Anthropic to senior government, utility, and industry stakeholders.
Demonstrated ability to lead and coordinate cross-functional teams without direct line authority.
Hyper-organized and detail-oriented, with the ability to own multiple concurrent workstreams at once.
Comfortable with ambiguity; a problem solver who drives structure into undefined situations.
Background in energy, infrastructure, or a related sector.
Nice to have
Prior experience with large-scale infrastructure or datacenter development.
Existing relationships with Korean federal or provincial government bodies relevant to energy, land use, or industrial development.
Experience managing or overseeing capital-intensive projects.
Familiarity with the compute, cloud, or datacenter industry.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: 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
Anthropic is scaling compute internationally — growing our footprint in new countries. We're hiring a Country Lead to be the single, accountable owner of our compute strategy in Japan: the person who leads a team of cross-functional experts driving site selection, leasing, energy, financing, government relations and policy, community engagement, construction, and operations. This person will be ultimately responsible for bringing gigawatts of compute online in Japan.
You won't build this alone. The specialist functions — leasing, energy, policy, construction, finance — are hired and managed centrally by functional leads based in San Francisco. Your job is to provide cross-functional leadership over that team in-country: coordinating and driving accountability across workstreams, while representing Anthropic externally with government and industry counterparts in Japan.
This is a high-ambiguity, high-trust role for someone who can bring structure to a fast-growing, cross-functional effort without needing formal authority to do it.
Responsibilities
Own the end-to-end strategy and coordination for Anthropic's compute build-out in Japan, from initial site selection through construction and operations. While each component will be run by subject matter experts, this role will act as the overall leader and coordinator of that team.
Serve as the primary point of accountability for cross-functional workstreams; leasing, financing, energy, government relations/policy, community engagement, construction, and operations.
Provide working leadership to the in-country cross-functional team, driving alignment and unblocking issues.
Represent Anthropic with government officials, utilities, energy providers, and other external stakeholders in Japan.
Build and maintain relationships within the Japanese government and the energy industry to support site, power, and policy outcomes.
Track progress and surface risks across parallel workstreams as the country's compute footprint scales from initial sites to multiple gigawatts.
Translate between Anthropic's global compute priorities and the specific regulatory, political, and market conditions in Japan.
Requirements
Japanese national with established links into government and the energy industry strongly preferred.
Structured thinker with a track record of learning new domains quickly and going deep fast.
Excellent communicator, comfortable representing Anthropic to senior government, utility, and industry stakeholders.
Demonstrated ability to lead and coordinate cross-functional teams without direct line authority.
Hyper-organized and detail-oriented, with the ability to own multiple concurrent workstreams at once.
Comfortable with ambiguity; a problem solver who drives structure into undefined situations.
Background in energy, infrastructure, or a related sector.
Nice to have
Prior experience with large-scale infrastructure or datacenter development.
Existing relationships with Japanese federal or provincial government bodies relevant to energy, land use, or industrial development.
Experience managing or overseeing capital-intensive projects.
Familiarity with the compute, cloud, or datacenter industry.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Singapore
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We're hiring our first dedicated international tax professional in Asia-Pacific, based in Singapore. You'll be a key member of Anthropic's tax team, reporting to our Head of International Tax Operations / Business Advisory and working closely with tax colleagues in Dublin and our San Francisco headquarters.
As APAC Tax Lead, you'll own direct tax compliance and advisory across our Asia-Pacific entities and operations (Japan, Korea, India, Singapore, Australia, Taiwan) and help build tax infrastructure to support Anthropic's rapid international expansion.
Key responsibilities
Lead APAC direct tax compliance, working with external advisors (KPMG, PwC, Deloitte) to ensure timely and accurate filings across all jurisdictions
Support transfer pricing documentation and intercompany transactions for APAC entities, including cost-plus arrangements and intercompany service agreements
Manage withholding tax positions and treaty relief on cross-border flows, including customer receipts and vendor payments
Advise on permanent establishment risks, entity structuring, and operational tax considerations as Anthropic expands APAC commercial and infrastructure activities
Support the tax side of regional infrastructure expansion, including data center, colocation, and subsea cable arrangements and new entity formations
Partner with indirect tax personnel on VAT/GST and consumption tax matters to align on tax strategy and overall compliance requirements
Partner with Finance, Legal, and People teams on payroll taxes, equity compensation, and employee mobility matters
Build relationships with local tax authorities and manage any inquiries or audits
Contribute to global tax projects including public company readiness, SOX compliance, and tax technology implementations
Working with indirect tax team on advisory and compliance and audit assistance
Minimum qualifications
Strong technical knowledge of corporate tax in one or more major APAC jurisdictions and cross-border tax issues across the region
Deep experience with transfer pricing documentation, intercompany agreements, and withholding tax and treaty analysis
CPA, CA, CTA, or equivalent professional qualification
Excellent communication skills and ability to work across time zones with US and European colleagues
Self-starter who thrives in ambiguity and can build processes from the ground up
Preferred qualifications
12+ years of international tax experience, ideally with a mix of Big 4/advisory and in-house roles
Exposure to technology or high-growth company tax matters
Experience with the tax aspects of data center or infrastructure buildouts
Knowledge of Pillar Two/global minimum tax rules and digital services taxes
Experience with Indian direct tax matters, including permanent establishment and withholding tax issues
Experience supporting IPO readiness or public company tax compliance
Regional language skills
Experience with systems buildout or automation
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Espoo
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Manufacturing Engineer (Electronics)
- Espoo, Finland
- Reports to Manufacturing & QA Team Lead
- Permanent
- Office
- Employment is subject to applicable security screening (incl. SUPO, where required)
The Mission of the Manufacturing Engineer
Your main focus will be to ensure that electronics prototypes are built correctly, efficiently, and on schedule, enabling ICEYE’s engineering teams to iterate quickly and with confidence.
This role acts as the bridge between design and manufacturing, translating engineering intent into manufacturable hardware by owning prototype execution, resolving issues early, and maintaining close technical collaboration with suppliers.
By enforcing high-quality documentation, proactively managing risks, and continuously improving prototype and NPI processes, the Manufacturing Engineer directly contributes to faster development cycles, higher build quality, and smoother transitions from prototype to production.
WHO WE ARE
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy – day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience.
ICEYE operates internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, and the US. The company has more than 900 employees, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation.
EXPECTED OUTCOMES & REQUIREMENTS
OUTCOMES:
- Own the end-to-end execution of electronics prototype builds (PCB and PCBA), from design release to delivery.
- Act as the primary technical interface to PCB/PCBA suppliers, resolving manufacturing, quality, and documentation issues.
- Review and validate manufacturing documentation (BOMs, assembly data, drawings) to ensure completeness and manufacturability.
- Track prototype orders, schedules, and priorities, ensuring on-time delivery across multiple concurrent builds.
- Support material readiness and component management, including availability, alternates, and issue resolution.
- Verify incoming prototypes and coordinate rework, fixes, or rebuilds when required.
- Collaborate with R&D, ECAD, and Supply Chain to improve prototype and NPI processes.
- Contribute to long-term initiatives such as supplier onboarding, process standardization, and in-house prototyping capability.
WHAT WE’RE LOOKING FOR
- Bachelor’s or Master’s degree in Electronics Engineering, Electrical Engineering, or similar.
- Minimum 2 years of relevant experience in electronics manufacturing or design.
- Solid practical knowledge of Altium Designer and Altium 365.
- Understanding of PCB and PCBA manufacturing processes, DFM, and quality workflows.
- Good understanding of general electronics design principles, ability to interpret schematics and fabrication/assembly data.
- Familiarity with IPC, IEEE, JEDEC standards.
- Experience working with external suppliers and EMS partners
- Good organizational and documentation skills, attention to detail, and structured work style.
- Excellent communication and teamwork skills in a cross-functional engineering environment.
- Ability to organize workload, set priorities, and oversee both internal and outsourced ECAD library activities.
- Strong problem-solving mindset and hands-on attitude.
- Fluent written and spoken English.
Key Competences
In addition to the requirements above, we evaluate candidates on these key qualities throughout the hiring process:
- Intellectual Firepower: Rapidly comprehends, structures and synthesizes complex information, draws accurate conclusions, and communicates them with clarity.
- Passion & Work Ethic: Brings sustained motivation, resilience, and high personal standards to every challenge.
- Ownership & Action: Assumes full accountability for outcomes, acting decisively, and ensuring commitments are delivered.
- Team Player: Works collaboratively across teams, contributing to shared success, and engaging in constructive debate.
- Integrity & Growth Mindset: Operates with transparency and humility, learns from setbacks, and actively seeks opportunities to grow.
APPLICATION PROCESS
- Recruiter Interview
- Hiring Manager Interview
- Technical Assignment
- Stakeholder Interview
- Director Interview
WORKING AT ICEYE
At ICEYE, you will join a diverse and highly engaged team united by the ambition to make the impossible possible. We know that we will succeed only through exceptional people in our team, which is why your growth, wellbeing, and success are a priority.
As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. You will benefit from continuous professional development, training opportunities, and a culture that values collaboration, curiosity, and integrity. ICEYE is a place where your contributions have a visible impact, and where we celebrate success together.
BENEFITS (FINLAND)
- A job that matters in a dynamic Defence Technology and Earth Observation environment with a scale-up approach
- An independent role with a supportive and diverse work environment
- Occupational healthcare, occupational, and accident insurance
- A yearly benefit budget to spend as you wish (sport, transport, bike benefit, wellness, lunch, etc.)
- Phone subscription with iPhone of choice
- Relocation support (flight tickets, accommodation, relocation agency support)
- Time for self-development, research, training, conferences, or certification schemes
- Inspiring and collaborating offices and silent workspaces enable you to focus
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: Espoo
Workplace: Hybrid
Role highlights:
- Job title: Lab technician
- Location: Espoo, Finland
- Type: Permanent
- Hiring Model: On-site / Hybrid
Who are we?
ICEYE is the global leader in synthetic aperture radar (SAR) satellite operations for Earth Observation, persistent monitoring, and natural catastrophe solutions; owning and operating the world's largest SAR constellation. ICEYE is headquartered in Finland and operates from five international locations with more than 600 employees from nearly 60 countries, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation.
Our satellites acquire images of Earth at any time – even when it’s cloudy or dark – providing commercial and government partners with unmatched persistent monitoring capabilities. Information derived from our SAR images helps customers make data-driven decisions to address time-critical challenges in various sectors, such as maritime, disaster management, insurance, and finance.
Our team is a tight-knit group of experts across many disciplines (e.g., engineering, software development, radar technology, etc.). We’re innovative, driven people who strive for excellence in everything we do. Teamwork, curiosity, and having fun are core values at ICEYE, and contribute to Making the Impossible possible!!
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.
What will you do in this role?
- Serve as the primary point of contact for the Engineering Lab and related spaces.
- Manage lab stock, consumables, and inventory, ensuring availability for development projects.
- Keep lab documentation current and compliant with health & safety standards.
- Oversee lab cleanliness, organization, and adherence to ESD protocols.
- Track schedules and perform preventive maintenance and calibration of instruments.
- Ensure proper storage and handling of chemicals and equipment.
- Administer lab access and coordinate training on instrument handling.
- Support engineering projects by:
- Building test setups
- Reworking boards
- Making cable harnesses for testing
What will you need to be successful in this role?
- B.Sc. degree (or equivalent practical experience).
- 1+ year of experience in an electronics lab environment.
- Hands-on skills with electronic and RF lab equipment (oscilloscopes, spectrum analyzers, RF signal generators, thermal chambers, etc.).
- Familiarity with mechanical lab tools (3D printer, hand tools, precision measurement tools).
- Comfortable using Jira and Confluence.
- Strong communication skills in English (written & spoken).
- Positive attitude, eagerness to learn, and ability to thrive in a multicultural environment.
In addition to the above, it would be beneficial if you had the below attributes and skills:
- Experience in an R&D lab.
- Basic soldering or PCBA rework/repair certifications.
- Harnessing skills or certification.
- Awareness of 6S standards for lab organization.
What do we offer?
At ICEYE, you will join a diverse and highly engaged team united by the ambition to make the impossible possible. We know that we will succeed only through exceptional people in our team, which is why your growth, wellbeing, and success are a priority.
As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. You will benefit from continuous professional development, training opportunities, and a culture that values collaboration, curiosity, and integrity. ICEYE is a place where your contributions have a visible impact, and where we celebrate success together.
Benefits (Finland)
- A job that matters in a dynamic Defence Technology and Earth Observation environment with a scale-up approach
- An independent role with a supportive and diverse work environment
- Occupational healthcare, occupational, and accident insurance
- A yearly benefit budget to spend as you wish (sport, transport, bike benefit, wellness, lunch, etc.)
- Phone subscription with iPhone of choice
- Relocation support (flight tickets, accommodation, relocation agency support)
- Time for self-development, research, training, conferences, or certification schemes
- Inspiring and collaborating offices and silent workspaces enable you to focus.
Diversity, equity, and inclusion
At ICEYE, we believe that diversity isn't just a buzzword – it's our greatest asset.
We're committed to fostering an inclusive environment where every voice is not only heard but celebrated. We know that diverse perspectives breed innovation and creativity, which is why we actively seek out individuals from all walks of life, backgrounds, and experiences.
Whatever your background, we want you to bring your authentic self to the table. Join us and be part of a team where differences are not only embraced but cherished, because together, we're stronger.
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: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic runs one of the largest and fastest-growing infrastructure fleets in the industry, across multiple accelerator families, CPU families, clouds, neoclouds, and on-prem sites. Capacity Engineering owns the data, tooling, and systems that let Anthropic plan, measure, and maximize utilization of that fleet: we partner on supply deals, wire telemetry from day zero, own the canonical capacity data layer, and build the planning and enforcement tools every research and product team relies on. This role sits in the Planning pillar, on the Demand Planning team, and works daily with research engineering, pretraining, inference, compute supply, finance, and external vendors.
You own the tranches. The job has two halves that feed each other. Upstream, you take the Demand Planning forecast and turn it into per-tranche requirements — shape, interconnect, region, supporting resources, date — and carry those into sourcing negotiations and data center build reviews so we contract for capacity we can actually use when we need it. Downstream, you own the integrated schedule and system of record for every tranche in flight — from contracted through reserved, ingested, in-cluster, healthy, and occupied — and you drive the owners of each hop to their dates. Every slip you see downstream becomes a contract-language fix, an automation, or a correction fed back to the forecast.
What you'll do
Turn the forecast into per-tranche requirements.
Take the Demand Planning forecast plus direct input from research, pretraining, and inference planners, and convert it into concrete accelerator, interconnect, region, supporting-resource, and date requirements for each tranche. Represent those in sourcing negotiations and data center build reviews, including which contractual terms actually move delivery dates.
Qualify tranches for deliverability before signature.
The Capacity Planner signs fit-to-forecast; you sign whether the shape can land schedulable, healthy, and instrumented in that region on that date, with storage, egress, identity in place.
Close the delivery loop.
Track forecast-versus-delivered on shape, region, and timing for every tranche; publish the variance; and feed it back to Demand Planning and into the next contract.
Own the bring-up system of record.
Define the canonical contract-to-occupied state machine with explicit entry and exit criteria per stage, and make it a first-class object in the capacity data layer so every downstream tool sees in-flight capacity, not only what has landed.
Run a portfolio of bring-ups in parallel
— new cloud regions, on-prem sites, neocloud blocks — with one integrated schedule spanning provider milestones, cluster creation, network turn-up, storage readiness, health burn-in, and first-workload landing.
Drive readiness automation:
All capacity systems are fully integrated for all new capacity, from contracted through ingested, automated and scaled.
Instrument and publish the numbers that matter
— time-to-occupied and paid-idle dollars per tranche — with executive-level reporting on status, tradeoffs, and risk across the portfolio.
What you bring
Significant experience delivering large-scale infrastructure — cloud regions, accelerator clusters, HPC systems, or bare-metal fleets — at multi-region scale or ≥10k accelerators (or CPU/storage equivalent).
Technical range from through cluster orchestration and node health, up to the telemetry and planning tables on top — enough to debug where they disagree rather than route it.
SQL and enough Python to answer your own questions and build your own reporting.
A degree in a technical field or an equivalent engineering track record.
Preferred
Reserved-capacity onboarding, private offers, or capacity commitments with cloud or neocloud providers.
Enough demand-planning exposure to challenge a forecast, translate it into per-tranche requirements, and feed delivery variance back into it.
Data center or colocation delivery: power and space planning, network turn-up, site acceptance, vendor management.
Accelerator health and burn-in, collective-communications sanity testing, or fleet-health SLOs — and a rigorous definition of "healthy."
Systems of record or lifecycle services for infrastructure assets.
Onboarding a new hardware generation into an existing scheduler and observability stack.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's infrastructure fleet spans a growing set of clouds, neoclouds, and on-prem sites. Every part of it is expanding rapidly. Capacity Engineering is the team that connects every stage of that growth, from capacity planning to supply management to capacity delivery to utilization. We partner on supply deals, wire telemetry from day zero, own the canonical capacity data layer, and build the planning and enforcement tools every research and product team relies on.
As an Infrastructure Capacity Planner on the Demand Planning team, you'll own the medium-range demand forecast for every resource class we consume: accelerators, CPU, storage, network, and managed services. Your forecast will support sourcing and purchasing, prioritization, efficiency targets, and workload optimization.
Key responsibilities
Build and own the medium-range multi-resource demand forecast: accelerators by chip/interconnect class, CPU by shape, storage by tier and access pattern, egress by path, managed services by SKU — driven by model roadmap, RL/inference growth, eval volume, and retention policy rather than trend lines.
Run the plan-vs-reality loop. Diff planned allocations against observed fleet occupancy weekly, surface unrecorded trades and stale allocations, and drive variance toward zero with our planning-tools and data teams.
Qualify each incoming capacity tranche against the forecast before signature: right shape, region, quarter, and supporting-resource envelope (storage, egress, CPU).
Partner with Finance and cost-efficiency teams to turn the forecast into core drivers covering the large majority (≥80%) of non-accelerator spend, and to aim savings work where waste will appear next.
What you bring
Have done capacity, demand, or supply planning for large-scale technical infrastructure (cloud, HPC, hyperscale, or a large internal platform) and can articulate the difference between a forecast, a plan, and an allocation.
Build the model yourself rather than specifying it for someone else: SQL against a warehouse, Python/pandas or a proper forecasting/optimization stack.
Understand data-center resource classes well to know why storage and egress don't forecast like GPUs, and why a contract's headline chip count is rarely the binding constraint.
Prefer simple, inspectable models to clever opaque ones, and instrument your own forecast error.
Preferred qualifications
Direct experience with cloud or neocloud providers on reserved-capacity onboarding, private offers, or capacity commitments.
Demand planning or forecasting experience for accelerator fleets, including translating research or product roadmaps into resource requirements.
Data center or colocation delivery experience: power and space planning, network turn-up, site acceptance criteria, and vendor management.
Experience with accelerator health and burn-in, collective-communications sanity testing, or fleet-health SLOs, and the ability to define healthy rigorously.
Experience building lifecycle or state-machine services, or systems of record for infrastructure assets.
Experience onboarding a new hardware generation into an existing scheduler and observability stack.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Cyprus
Workplace: onsite
About You
Xsolla is opening a Club in Limassol — a physical hub for the game development community, partners, and the local video-games ecosystem. We are looking for a Club Administrator to take ownership of the venue from the construction phase through to full daily operation.
This is a hands-on, high-autonomy role. In the first phase, you will supervise the build-out and ensure the space is delivered exactly to our design intent. Once the Club opens, you become the person who keeps it running — operations, suppliers, events, compliance, and the day-to-day relationships with the landlord, building management company and local authorities.
If you are organised, comfortable holding contractors and vendors to a standard, and enjoy being the go-to person for a physical space that people care about, this role will suit you.
About Us
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Key Responsibilities
Design & Construction Supervision (pre-opening)
Supervise the execution of the approved design project, including all construction, fit-out, and finishing works
Ensure all works comply with Xsolla internal design guidelines and brand standards; escalate and resolve deviations before they become permanent
Coordinate contractors, subcontractors, and site schedules; track progress against timelines, budget, and quality expectations
Manage snag lists, technical acceptance, and formal handover of the completed space
Maintain full documentation of the project: drawings, approvals, change requests, certificates, and warranties
Day-to-Day Club Operations (post-opening)
Own the daily operation of the Club: opening and closing procedures, access control, space readiness, and general upkeep
Oversee maintenance, cleaning, technical systems (HVAC, AV, IT infrastructure, security), and preventative servicing
Manage room and space bookings, capacity planning, and the operational calendar
Act as the first point of contact for anything related to the physical space
Supplies, Vendors & Procurement
Control all supplies and inventory: office and hospitality consumables, F&B, equipment, and event materials
Source, onboard, and manage vendors and service providers; negotiate terms and monitor performance
Handle purchase requests, contracts, invoices, and reconciliation in line with internal finance procedures
Track and report operational spend against the approved Club budget
Authorities, Landlord & Regulatory Affairs
Serve as the primary liaison with local authorities and their representatives
Lead or support negotiations with the landlord and building management on lease matters, works approvals, service charges, and access
Obtain and maintain all required permits, licences, inspections, and certificates for the venue and its activities
Ensure continuous compliance with Cypriot local regulations, including health and safety, fire safety, accessibility, and any licensing relevant to events and hospitality
Events Coordination
Coordinate all events hosted at the Club — meetups, workshops, partner sessions, community nights, and corporate hosting in collaboration with Event Manager
Handle end-to-end event logistics: setup and teardown, AV and technical needs, catering, staffing, guest registration, and access
Coordinate with internal marketing, community, and business development teams, and with external organisers and sponsors
Be present on-site during events as the operational owner; resolve issues in real time
Produce post-event summaries covering attendance, costs, issues, and recommendations
Compliance, Process & Reporting
Ensure all Club activity aligns with Xsolla internal rules, policies, and procedures
Maintain accurate operational records, vendor documentation, and compliance files
Provide regular reporting on operations, spend, events, and any risks or open issues to the Club Director and regional leadership
Requirements
Experience
3+ years of experience in an administrative, office management, facility management, or events management role — ideally a combination of these
Demonstrated experience coordinating vendors, suppliers, or contractors
Experience interacting with landlords, building management, or public authorities
Exposure to construction, fit-out, or renovation project supervision is a strong advantage
Languages
English — mandatory
(professional working proficiency)
Greek — mandatory
(professional working proficiency)
Russian — advantageous, not required
Skills & Attributes
Strong organisational skills and the ability to run multiple parallel workstreams without dropping details
Confident, professional communicator — comfortable holding vendors and contractors accountable
Practical problem-solver with a bias toward resolving issues on the spot
Comfortable with budgets, invoices, and basic financial tracking
Working knowledge of the Cypriot regulatory and permitting landscape
Flexible availability, including occasional evenings and weekends for events
Eligible to work in Cyprus
Nice to Have
Familiarity with the gaming, tech, or startup community in Cyprus
Background in hospitality, coworking, cultural venues, or member clubs
Experience working within an international company and its internal procedures
What Success Looks Like
First 3 months:
The build-out is progressing on schedule and on budget, fully aligned with Xsolla design guidelines. All permits and approvals required for opening are secured or clearly tracked. Vendor framework is in place.
First 6 months:
The Club is open and operating smoothly. Operational routines, supplier relationships, and compliance documentation are established and running without escalation. The first events have been delivered successfully.
Ongoing:
The Club is a reliably well-run, on-brand space that the community and internal teams trust — with clean compliance, controlled costs, and events that run without friction.
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.
By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.
Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: North America
Workplace: Remote
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
The Data team works across Linear, supporting Product, Engineering, and GTM. We own our data pipelines, warehouse, dashboards, analysis, and integrations with third-party tools. As a small team, we focus on building systems that make data accessible and useful across Linear. We’re looking for someone who wants to help shape how we architect, build, and use data as we grow.
Location & work mode
Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
What you’ll do
- Work across Product and GTM (Marketing, Sales, Customer Success, and Finance) to turn ambiguous questions and operational needs into useful metrics, models, analyses, and workflows
- Build and maintain dbt models and pipelines that create trusted views of our product, customers, and business
- Design clear, maintainable data models and improve the testing, documentation, performance, and reliability of our data stack
- Build dashboards and self-service reporting in Metabase and Hex, and dig deeper when the answer requires more than a chart
- Operationalize data through reverse ETL and partner with GTM Engineering on the scoring, segmentation, automations, and internal tools that help our teams scale
- Balance fast, pragmatic answers with durable solutions, recognizing when a one-off request should become a reusable model or workflow
- Find ways to leverage emerging tools, LLMs, and coding agents to accelerate development, analysis, testing, and documentation while maintaining a high bar for correctness
What we're looking for
- 8+ years of experience in analytics engineering, data analytics, or data engineering, ideally at a fast-moving software company
- Exceptional SQL and strong hands-on experience with dbt and a modern cloud data warehouse
- Track record of owning data projects end-to-end, from shaping an ambiguous problem to shipping something people rely on
- Strong data modeling judgment: you think clearly about grain, reusable components, interfaces, dependencies, and maintainability without relying on a single prescribed methodology
- Analytical judgment: you know when to answer quickly, when to investigate deeply, and how to turn complex findings into a clear recommendation
- Comfortable moving between technical implementation and business context, from debugging a data model to understanding product adoption or sales efficiency
- High ownership mentality: self-directed, pragmatic, and willing to challenge a request or approach when something does not make sense
- Strong communication skills and experience partnering directly with both technical and non-technical teams
- Comfortable using LLMs and coding agents as part of your day-to-day development workflow
Our tech
This stack reflects the systems you’ll work in. You’re not expected to have experience with everything listed, but you should be comfortable learning quickly and working across the full lifecycle of data.
- Data Warehouse: Snowflake, dbt Cloud
- Dashboards / Analysis: Metabase, Hex
- ETL / rETL: Hevo, Fivetran
- GTM tools: Hubspot, Pocus, Clay
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
- Competitive salary and equity
- Employee-friendly equity terms including early exercise in the US and extended exercise windows
- Daily meal and coffee stipend on every workday
- Paid co-working space or desk
- Health coverage (based on country requirements)
- 5 weeks paid vacation, plus local statutory holidays
- 4 months paid parental leave
- Paid month off after 4 years & every 2 years thereafter
- Regular team events and off-sites
- Remote-first with no required commute
Compensation
For US-based candidates, the expected cash compensation range for this role is $180,000—$220,000. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear.
Learn how we think and work
- A story about our mission: Read Me https://linear.app/readme
- Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear
- How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear
- How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear
- A video series: Conversations on Quality https://linear.app/quality
- Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear
- Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Location: Japan (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity:
Make a difference.
The Solutions Engineering team are the customer facing product experts. The team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure that they are happy and successful. We share our technical and product expertise with customers through demos, hands on enablement, presentations, technical evaluations and ongoing interaction. We partner closely with our Sales team to help qualify and close opportunities. The Solutions Engineering team is one of the primary routes of communication from our customers to the Product Management and Engineering teams.
A Solutions Engineer is able to really listen to a prospect or customer, understand their requirements, ask the right questions to extract as much information as required and translate all that into a solution with Grafana Labs technology. They are the bridge between the highly technical engineering folks here at Grafana Labs, our customers and our Sales team.
What You’ll Be Doing:
Partner with our Sales team to articulate the overall Grafana value proposition, vision and strategy to customers
Own the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility
Deliver product and technical presentations to potential and existing customers
Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape
Drive product conversations based on need and problems with customers
Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material
What Makes You a Great Fit:
Located in Tokyo, Japan
5+ years of technical pre-sales experience, ideally with Open Source technologies, or in the Metrics/Monitoring space
Be open to various and complex assignments, this will require strong judgment, collaboration, and leadership
You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers.
You will need to be able to skillfully articulate our value proposition and the technical advantages of our products
You love solving technical challenges and thrive on bringing creative solutions to our customers
You should have a technical mindset and a desire to grow technically
Experience with sales methodologies like MEDD(P)ICC is a plus.
Compensation & Rewards:
The OTE range we have for Japan is 14m - 18.5m JPY. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Brussels; Rome; Zug; Porto; Istanbul; Eindhoven; Geneva; Milan; Amsterdam; Manama; Madrid; London; Berlin; Antwerp; Copenhagen; Vienna; Prague; Athens; Budapest; Paris; Frankfurt; Dublin; Warsaw; Sofia; Luxembourg; Remote; Zurich; Lisbon; Tallinn; London OR Brussels; Rotterdam; Krakow; Zagreb
SENIOR RUST ENGINEER - HIGH FREQUENCY TRADING (HFT)
ABOUT KEYROCK
Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation.
Today, we rock with over 200 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight.
We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks.
But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives.
At Keyrock, we're not just envisioning the future of digital assets. We're actively building it.
MISSION STATEMENT
We are seeking a Senior Rust Engineer with deep trading systems experience and strong AWS knowledge to join our core Capital Markets division. Candidates with a passion for the Rust ecosystem and a proven track record designing, building, and operating mission-critical trading systems will be at a significant advantage.
As part of the engineering team in Capital Markets, you will take ownership of high-impact trading infrastructure, set technical direction in your domain, and drive continuous improvement in system performance, reliability, and operability. You will join a highly-profitable, fast-paced division within Keyrock, where you will be expected to make a senior individual-contributor impact while collaborating with a global, fully-remote team. This role is open to candidates located in European time zones.
JOB DESCRIPTION
- Design, develop, and optimise low-latency, mission-critical trading systems
- Own key trading stack components end-to-end — from architecture through to production operation
- Collaborate closely with quants, traders, and engineers to deliver solutions that improve trading performance and resilience
- Maintain and evolve trading infrastructure with a focus on performance, stability, observability, and operational excellence
- Troubleshoot complex production issues across exchange connectivity, execution, and market data handling
- Drive engineering standards through technical leadership, code reviews, and mentoring
- Embrace agentic engineering principles: leverage AI-assisted workflows, drive automation of operational tasks, and help evolve the team's agentic tooling
- Contribute to functional, component, and production-readiness testing for critical trading components
BACKGROUND AND EXPERIENCE
TECHNICAL SKILLS
- Production-grade Rust experience building high-performance, concurrent systems; proficiency with Tokio is a strong advantage
- Hands-on experience in a systematic trading environment (HFT, Market Making, Quantitative Trading, or similar), with solid understanding of execution, market data, and operational risk
- Strong AWS and Linux expertise, including cloud infrastructure trade-offs for latency-sensitive workloads, shell scripting, debugging, and production troubleshooting
- Proficiency in Python or other scripting languages for strategy development, automation, and operational tooling
- Deep familiarity with trading system protocols (FIX, REST, WebSocket), exchange connectivity, and market data feeds
- Solid grasp of low-latency networking: TCP/UDP, packet and latency path analysis, dedicated network infrastructure, and kernel bypass techniques (DPDK)
- Familiarity with agentic engineering tools and concepts: LLMs, MCP APIs, AI-First IDEs (e.g. Cursor, Claude Code), harness engineering, and workflow automation
- Ability to make sound architectural decisions, articulate trade-offs clearly, and guide implementation across complex systems
SENIORITY & COMPETENCIES
- Ownership & Reliability – Take full responsibility for your work. Deliver high-quality service, meet deadlines, and follow through on commitments. Anticipate and proactively address potential issues before they arise.
- Initiative & Problem-Solving – Approach challenges with a problem-solving entrepreneurial mindset. Make sound, independent judgments and take the initiative to drive solutions rather than waiting for instructions.
- Operational Diligence – Respond strategically to technical and operational challenges, ensuring robust and reliable trading infrastructure while instilling confidence in the team’s processes.
- Technical Leadership – Influence system design, raise engineering standards, mentor other engineers, and help the team make pragmatic, high-quality technical decisions.
- Curiosity & Growth Mindset – Continuously seek to improve your technical skills and knowledge. Stay ahead of industry trends and take the initiative to practice and explore new technologies that excite you.
- Agentic Engineering – Embrace AI-assisted workflows and autonomous agents, pushing the boundaries of what engineering teams can achieve through intelligent automation.
- Excellent Communication Skills with a team player mindset, collaborating within a fully remote global team.
OUR RECRUITMENT PHILOSOPHY
We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A senior engineer and crypto enthusiast who’s driven, collaborative, acts with ownership, raises the bar for others, and delivers solid, scalable outcomes.
OUR OFFER
- A competitive salary package
- Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely
- The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence
As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance.
Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock.
https://keyrock.com/careers/
Location: North America
Workplace: Remote
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
Linear is in a unique position—we are profitable, which gives us the flexibility to invest thoughtfully as we grow. We want to build a company that scales well—not just in our product, but in how we run our GTM programs. In this role, you’ll design and evolve the systems and process that power our deal desk process. This person will help build the mechanics behind our sales-led deals: quotes, order forms, pricing, discount approvals, and contract terms. A strong candidate has run quote-to-cash at a SaaS company and can spot where the process is slow, manual, or leaky.
Location & work mode
Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America (west coast). We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
What you'll do
- Own the quote-to-order-form workflow: accurate quotes, correct terms, and a clean path from verbal yes to signed and billed
- Build and run the deal approval and discount matrix, so Account Executives know what they can self-serve and what needs sign-off
- Be the single point of contact for deal structuring questions that today land on Account Executives mid-deal
- Partner with Finance and Legal to keep the order-to-cash process clean, controlled, and free of revenue leakage
- Support usage-based and consumption deals as AI billing rolls out, from how they are quoted through the hand-off to billing
- Find and remove manual work: automate what can be automated, document what needs to be documented
- Help us get and stay audit ready by making sure deals are recorded correctly
What we're looking for
- 3-5 years in deal desk, order management, revenue operations, or quote-to-cash, ideally at a high-growth SaaS company
- Strong command of the full quote-to-cash cycle, from pricing and approvals through order form and billing hand-off
- Comfortable building process from scratch: workflows, approval logic, controls, and documentation, without a playbook handed to you
- Sound judgment on the tradeoff between deal speed and control, and on sensitive pricing and deal information
- A clear communicator who can hold a deal conversation with an Account Executive, Finance, and a customer, and have each one walk away with what they need
- Proficiency with CRM and quoting tools; experience with usage-based billing, multi-currency, or CPQ is a strong plus
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
- Competitive salary and equity
- Employee-friendly equity terms including early exercise in the US and extended exercise windows
- Daily meal and coffee stipend on every workday
- Paid co-working space or desk
- Health coverage (based on country requirements)
- 5 weeks paid vacation, plus local statutory holidays
- 4 months paid parental leave
- Paid month off after 4 years & every 2 years thereafter
- Regular team events and off-sites
- Remote-first with no required commute
Compensation
For US-based candidates, the expected cash compensation range for this role is $172,000—$220,000. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear.
Learn how we think and work
- A story about our mission: Read Me https://linear.app/readme
- Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear
- How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear
- How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear
- A video series: Conversations on Quality https://linear.app/quality
- Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear
- Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
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
Developer Relations
at Anthropic, you will help developers discover, onboard, and get the most out of Claude Code, Claude Tag, and future developer products. This role is pivotal in helping developers adopt Claude-powered products, growing our developer ecosystem, gathering crucial feedback to inform product development, and ensuring our products are used responsibly, safely, and securely.
You'll be a hands-on technical voice for Anthropic's developer community, including partners, customers, and independent developers. Your success in this role will directly shape how developers experience and adopt Claude, helping users adopt new ways of working with Claude and bringing developer feedback back to product and research teams Building strong relationships between our developer community and internal teams will be essential as we advance our mission of creating reliable, interpretable AI that follows human intent.
What You'll Do
Drive Technical Strategy and Impact
Shape how developers discover and engage with Anthropic's developer products (specifically Claude Code and Claude Tag), bringing a strong point of view grounded in hands-on experience and feedback from users.
Build frameworks and mechanisms for measuring developer success that align with both business objectives and our mission of safe, beneficial AI
Prioritize community and content initiatives based on data, developer feedback, and business needs
Partner closely with product and engineering to ensure developer needs inform the roadmap
Set the Bar for Developer Relations Craft
Help define what world-class AI developer relations looks like in this emerging field
Model excellence in technical content, code samples, and developer engagement that others can learn from
Contribute to and help evolve the processes and best practices the broader DevRel function relies on
Drive Scaled Developer Adoption and Success
Understand the diverse needs of developers across segments, from individual hobbyists to enterprise engineering teams
Partner with GTM, Sales, and Marketing to support developer-focused campaigns that drive adoption
Lead and participate in high-impact developer events, workshops, and community activities that introduce Claude to strategic developer communities
Generate high-quality technical content (ex: sample apps, tutorials, documentation, integration guides, and best practices) that demonstrates how to use Claude responsibly and effectively
Drive Alignment Through Cross-Functional Collaboration
Act as an advocate for developer needs at Anthropic, translating developer feedback into concrete product and content initiatives
Collaborate with Research to translate AI capabilities into accessible educational resources
Partner with Communications and Marketing to amplify developer success stories
Promote best practices for responsible AI use among developers building with Claude
About You
You have 5+ years of experience in developer relations, developer experience, or technical product/engineering roles, with a track record of shipping content or tools that measurably grew a developer ecosystem
You're technically credible. You can deeply understand AI/ML and API concepts and translate complex technical ideas for various audiences, from individual developers to enterprise engineers
You have hands-on technical ability. You can write production-quality code demos, critically review developer samples for quality and best practices, and give specific, actionable technical feedback
You have real insight into developer psychology and behavior. You know how to reach developers through the right channels, build authentic affinity for products, and design content that drives meaningful adoption
You're passionate about AI's potential and deeply committed to ensuring it's developed responsibly, with a genuine interest in AI safety and ethical considerations
You're a collaborative contributor who can influence across teams without direct authority, building strong relationships with stakeholders at all levels
You've thrived in high-growth environments and can adapt quickly as priorities evolve
Nice to Have
Experience working specifically with large language models or generative AI
Background in AI safety, ethics, or responsible AI development
Public speaking experience at industry conferences and events
Content creation experience (technical writing, video tutorials, etc.)
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$435,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: 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 an AV Operations Specialist, you'll be accountable for how the AV spaces perform, how support requests get resolved, and how events land in the space you're responsible for. This role will help own all areas within the AV landscape. In a given week you might execute a preventative maintenance sweep across a floor of conference rooms, work the support queue and drive a recurring failure to root cause, and then run technical coverage for an all-hands or an executive presentation that evening.
You'll be the regional presence our AV Engineering and Production teams build on — the person who catches problems before users report them, and who turns what you learn on the ground into standards the rest of the team can run from. Your work directly enables the collaboration and transparency that advance our AI safety mission.
Responsibilities
Site Ownership & Room Health
Serve as the AV owner for your office — accountable for the health, readiness, and performance of every room and event space in the building
Execute preventative maintenance programs and recurring room sweeps on a defined cadence, not only in response to tickets
Maintain accurate inventory of room systems, peripherals, wireless microphones, cameras, and portable production gear, including spares strategy and replacement cycles
Coordinate AV scope for office moves, room reconfigurations, and new-space readiness in partnership with Workplace and AV Engineering
Know your estate: maintain the room documentation, as-builts, and site-specific gotchas that make your office supportable by anyone on the team
Support Operations
Help own the AV support queue — triage, prioritization, resolution, and escalation with clear diagnostic context
Participate in the regional AV on-run rotation (West, East, or EMEA), covering AV issues during local business hours alongside the daily room-check discipline
Systematically isolate faults to a point in the signal chain rather than reaching for reboots and cable swaps
Drive recurring issues to root cause and surface them to AV Engineering as candidates for platform-level or design-level fixes
Contribute to runbooks, standard operating procedures, and knowledge base documentation that other technicians follow
Event Support & Production
Provide technical coverage for live and hybrid events in your office — from small executive presentations and team meetings through to all-hands and company-wide broadcasts
Operate event production systems including audio consoles, video switchers, camera systems, playback, and streaming encoders
Run pre-event readiness: walkthroughs, rehearsals, source checks, gear staging, and failover planning
Handle scoping conversations with requesters — translating what a stakeholder wants the event to feel like into an equipment and staffing plan that fits the team's SLA
Turn novel one-off events into repeatable standards — a template, runbook, or gear list that makes the next one easier for the whole team
Vendor Direction & Cross-functional Partnership
Direct AV integrators, contractors, and event labor on site, holding them to defined scope, SLAs, and quality standards
Partner with Workplace, Events, and IT on lead times, expectations, and readiness
Act as the regional feedback loop to AV Engineering — what's failing, what's missing, and what the standard should be
Communicate status, risk, and resolution to non-technical stakeholders in clear, calm, jargon-free language
You May Be a Good Fit If You:
Have 8+ years of hands-on experience in AV operations, workplace technology, or technical event support
Have owned a standing estate — the same rooms, the same stakeholders, week over week — and were accountable for how those spaces performed over time
Bring working fluency across room systems, event audio, video, camera, and streaming, with enough depth to diagnose problems rather than only report them
Are comfortable being the only AV person in the building, and can prioritize independently across maintenance, support, and events
Bring structure to ambiguity — checklists, intake processes, maintenance cadences, and documentation
Are energized rather than drained by being the front-facing technical partner to executives, event producers, and everyone else who walks up to you in a hallway
Take ownership end-to-end, from noticing a recurring failure to getting it permanently fixed
Thrive in a fast-moving environment where standards are being written rather than inherited
Strong Candidates May Also Have Experience With:
Q-SYS DSP platforms — comfortable navigating and reasoning about existing audio/video routing and control designs
Logitech CollabOS and Sync, Google Meet hardware, Zoom Rooms, and enterprise room system administration
Preventative maintenance and room-sweep programs across a distributed room fleet
Broadcast video switchers such as Blackmagic ATEM, Ross Carbonite, or NewTek TriCaster
Digital audio mixing consoles such as Yamaha DM7 or CL/QL series, and Shure wireless systems
PTZ camera systems and multi-camera workflows
Ticketing and workflow systems such as Jira, and participation in an on-run rotation
Coordinating AV contractors, integrators, and labor for site support and event coverage
CTS certification or equivalent demonstrated capability
Role Specific Location Policy:
This role will be based in our New York office
This role is expected to be in office 5 days per week
Occasional evening and early-morning coverage is expected around major events
4-6 weeks of travel annually may be expected for this role for distributed support, office buildout support, and event coverage as needed
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$230,000
—
$285,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
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