Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking a Manager, Infrastructure Capex Accounting to join our Infrastructure Accounting team. In this role, you will execute day-to-day accounting for Anthropic's owned infrastructure assets — the GPUs, networking equipment, and data center buildouts underpinning our recently announced $50bn investment in American computing infrastructure. As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success.
This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic's growing fixed asset base is accounted for and understood across the business.
You will own end-to-end accounting for Anthropic's capex and fixed asset portfolio, working closely with cross-functional partners across Data Center Operations, Finance, and Legal. You'll apply deep technical accounting expertise under ASC 360, and help build the processes, controls, and systems that let this function scale.
Responsibilities
Own end-to-end accounting for Anthropic's AI infrastructure capex and fixed asset portfolio, including monthly close, construction-in-progress (CIP) tracking, reconciliations, roll-forwards, and flux analysis
Apply technical accounting expertise to complex infrastructure arrangements under ASC 360 (capitalization, useful lives, impairment, disposals, and asset retirement obligations)
Partner with Data Center Operations, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made
Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on
Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems, particularly around asset receipt, deployment, and in-service dates
Help design and scale systems, processes, and controls to support a rapidly growing fixed asset portfolio
Collaborate with and mentor junior accounting professionals across the Infrastructure Accounting team
Serve as a key point of contact with external auditors on fixed asset and capex accounting matters
Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting
You may be a good fit if you
Have 7+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies
Hold a Bachelor's degree in Accounting or Finance; CPA or equivalent preferred
Possess strong technical accounting knowledge of ASC 360, particularly as applied to infrastructure, data center, or compute-related assets
Have hands-on experience with a significant fixed asset portfolio in a high-growth environment
Demonstrate strong analytical abilities and comfort working with large, complex datasets
Have a track record of improving scalable financial processes in fast-moving environments
Have experience mentoring junior accounting professionals
Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders
Communicate clearly and influence effectively across cross-functional partners
Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency
Strong candidates may have
Experience at hyperscalers, large compute consumers, or data center operators with exposure to infrastructure asset structures (including GPU clusters, networking equipment, and data center buildouts)
Experience with fixed asset subledger systems at scale
SQL proficiency for querying and analyzing large infrastructure and accounting datasets
Background in Big 4 accounting or advisory services combined with industry experience
Experience with complex data center buildouts or hybrid cloud / on-premise environments
Knowledge of AI/ML infrastructure and associated cost structures
Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation
Proven ability to navigate ambiguity and drive results in rapidly changing environments
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:
$160,000
—
$190,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote (USA)
Workplace: remote
Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.
We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.
For more information, visit arcadia.io.
Why This Role Is Important to Arcadia
Teams across Arcadia already put agents to work enabling clients' clinical, analytics, and operations teams. We use them heavily for our own work, too. Much of the platform foundation is in place. Now it has to handle longer-running workflows, client-facing agents, and PHI at scale.
You'll join the team that owns the platform underneath these agent workflows. This isn't a solo mandate. Your influence comes from what you ship and what other teams build on top of it.
How We Build
Engineers at Arcadia own outcomes end to end: the problem, the design, the code, the rollout, and the result in production. We build alongside AI without handing it our judgment; our automation is governed and transparent, built to strengthen human expertise, not replace it. We have few layers, high agency, deep ownership. We adopt new tools and practices quickly, which lets us move faster than many startups while keeping the discipline a regulated environment demands.
Our agent platform sits on top of governed access to AWS-based petabyte-scale lakehouse data with open table formats, distributed Spark processing, and Kubernetes services. The current implementation has an OSS agent harness and a gateway/router across model providers, all built on a third-party agent framework.
What Success Looks Like
Arcadia product teams should be able to spin up an agent quickly, ship it with confidence, and evolve it over time safely and cost-effectively. The platform provides the building blocks: persistence, workflows, memory, and identity-aware, compliant connectivity to tools. The platform also takes care of the quality attributes: caching, compaction, evals, guardrails, observability, resiliency, and safe handling of PHI.
Teams adopt it because it's the fastest safe path, not because they're told to. You treat it as a product and can show the impact in numbers.
Next: customers bring their own agents to Arcadia, and eventually assemble them from our building blocks.
What You'll Be Doing
Evolve and run our agent platform for both internal and client-facing use cases: the runtime, SDKs, templates, and paved paths that let teams ship agents on Arcadia's data. You write a meaningful share of the code.
Stand up and harden the infrastructure underneath it: IaC, network topology, security controls, and the operational tooling that keeps it running, in close partnership with SRE.
Make quality attributes platform defaults, not per-team projects: evaluation harnesses and regression gates, guardrails and policy enforcement, tracing and telemetry, and resiliency patterns for model, tool, and data failures, plus the inevitable provider churn.
Design for a regulated industry: PHI isolation, least-privilege identity for agents, audit trails, and human review.
Run the platform as an internal product: work with the teams building on it every week, and measure adoption and developer experience.
Partner with domain teams on their hardest agent use cases, and turn what you learn into platform capability.
Own it in production: SLOs, on-call, incident response, and postmortems.
Set the technical bar for how engineers build with AI at Arcadia, and coach Senior Engineers through design partnership and review. Their trajectory is part of your impact.
What You'll Bring
Platforms you've built and run that other engineering teams adopted, from ambiguous beginnings through years of operation, with results you can show.
Deep foundations in cloud-native distributed systems, data infrastructure, and service architecture. You reason from first principles.
Hands-on infrastructure depth: IaC, cloud, security architecture, and running production systems. You can go deep with SRE, not just hand work off to them.
Current, hands-on production coding, and the desire to keep doing it.
Passion for developer experience (DevEx/DevProd) as a discipline.
Writing clear enough to set standards beyond your own work, and influence that comes from credibility, not title.
No healthcare background required. We hire builders from fintech, infrastructure, and consumer scale, and teach the domain.
Would Love for You to Have
Scars from production LLM/agent deployments beyond glossy demos (but we won't ask for 20 years of LLM experience).
Pragmatism about the LLM ecosystem: excited by it, not distracted by it.
Regulated-data experience (HIPAA, PHI, SOC 2 or HITRUST environments).
A public voice through talks, writing, or open source.
What You'll Get
The opportunity to own one of Arcadia's most consequential platform domains and to set its direction for years.
Direct influence on how Arcadia's engineering org adopts AI; your tooling, patterns, and standards become examples others build on.
Remote-first across the US, with in-person hubs growing in Boston, DC, and NYC.
A flexible culture with personality and heart, named a Built In 2026 Best Place to Work.
Work that shows up in patients' lives.
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
Location: United States
Workplace: Remote
We’re looking for a Staff Software Engineer to help shape AI governance for developer tooling at Coder. This role sits on our AI Governance team, which builds and maintains two enterprise-grade components of Coder's AI governance stack.
AI Gateway is a centralized LLM gateway that sits between coding agents and providers such as OpenAI or Anthropic, providing organizations with audit trails, token tracking, cost control, and centralized authentication. Agent Firewall wraps those agents with default-deny network policies, controlling which domains and methods they can reach inside workspaces.
This team works across the full stack - from Go backend and React frontend to integrating with LLM provider APIs. Day to day, you'll be shipping features, hardening security boundaries, collaborating with enterprise customers on real-world policy needs, and contributing to Coder's open-source ecosystem.
What you'll do here
- Design and build product features that push the standard for remote development in self-hosted environments
- Create and improve upon popular open source projects that integrate with VS Code, JetBrains, and other developer tools
- Champion best practices to both internal team members and external contributors
- Collaborate with Product and Design teams at Coder, as well as with partners like JetBrains, to execute key product integrations
- Document the design, implementation, and operations of systems for knowledge sharing within the team
- Work alongside Customer Success teams to support Coder’s enterprise user base
- Work with cutting-edge AI technologies to create seamless, painless developer experiences
- Rapidly iterate from prototype to implementation in a highly adaptive, reactive team environment
What we're looking for
- 8+ years of full-stack experience writing code in a professional setting, with 1+ year(s) writing Go (ideally in current or most recent position)
- Proficiency in building distributed systems in Go
- Excellent verbal and written communication skills
- Exceptional debugging and troubleshooting skills, and the tenacity to drive a solution to a conclusion
- You are self-motivated with a creative and analytical mindset
Our tech stack
- Frontend: Typescript, React, Vite
- Backend: Go, Postgres, GCP, Kubernetes, gRPC
- Observability: Prometheus, Grafana
- CI/CD: GitHub Actions
- General: GitHub, Slack, Discord, Notion
Bonus tacos if you have
- (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
- Experience with TypeScript and React
- You have a background in developer tooling, platform engineering, or IaC
- You have a curiosity about the latest tech trends and what is going on in the world of developer tools
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Manager, Product Applied Science to build and lead a team at the core of Garner's product. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them.
This is a hands-on management role. You are responsible for the overall technical direction of your squad, building alongside your team of Applied Scientists to solve some of the hardest problems at the company.
This is not a dashboards or descriptive-analytics team. Your team owns production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is leading a research pod at a top hedge fund.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Lead a team of 4-6 — hire, coach, and develop them, hold the bar on both rigor and speed, and help raise that bar across Applied Science
Own the Population Health team and their outputs as a core responsibility
Own your team's roadmap and delivery: what gets built, in what order, and whether it ships
Set technical direction, and get in the weeds to do it — stay close enough to the code and the data to call the approach yourself, whether that's machine learning, optimization, a heuristic, or a simple rule, and set the standard for how your team makes that call
Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship
Put your own hands on the problems where your judgment matters most — the highest-stakes, least-defined work — and deliver the algorithmic step-changes that move metrics like total-cost-of-care savings, steerage, and member engagement
Turn ambiguous business goals into a clear problem set alongside Research, Product, Engineering, and business stakeholders, and represent your team's work to senior leadership
Set the quality bar: review your team's work with rigor, and define the metrics that decide whether a solution is working
Build a deep understanding of the healthcare economy and Garner's place in it
To make the role concrete, here are three problems on our near-term roadmap:
Provider tiering optimization.
Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions.
AI primary care doctor.
Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely.
Member engagement model.
Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care.
The ideal candidate has:
6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 4+ years of industry experience with a relevant advanced degree, PhDs preferred
Deep technical credibility, with the range and judgment to lead scientists who are experts in their own right, and the willingness to stay hands-on
Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem
Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them
A bias toward action, quickly translating ideas into working prototypes to test approaches
Strong communication skills, including at the executive level, with a track record of driving alignment across teams and functions
A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback
Technologies we use:
Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment.
This is a unique opportunity to build and lead the team behind Garner's algorithmic systems — shaping how members find better care, and how applied science gets done at Garner, while staying close to the work yourself.
What you'll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Compensation Transparency:
The target base comp range for this position is $300,000-$390,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Staff Applied Scientist to join our Applied Science team. Garner is hiring Applied Scientists to design and ship the algorithmic systems at the core of our product. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them.
This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund.
This is a player-coach role. You will be a hands-on-keys Applied Scientist, while also leading a small team that helps you deliver on your roadmap. Your time will be split between your own technical work and working with your team to shape how they approach their problems. This role is a good fit for someone who wants to develop their management toolkit while continuing to work closely on their own technical work, and it can lead either towards management or a deeper senior IC track.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Own the most ambiguous, high-stakes problems facing the company end-to-end, and set how the team frames and approaches them
Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks
Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship
Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for, and set the standard for how the team selects and applies these approaches
Deliver algorithmic breakthroughs that move the company's most important metrics, pioneering approaches that become how applied science is done at Garner
Lead a small team — set their technical direction, unblock them when they're stuck, and share accountability for their growth and the quality of what they ship
Review Applied Science work at the highest level across the company, ensuring the methods used across teams are sound and correctly applied
Build a deep understanding of the healthcare economy and Garner's place in it
To make the role concrete, here are three problems on our near-term roadmap:
Provider tiering optimization.
Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions.
AI primary care doctor.
Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely.
Member engagement model.
Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care.
The ideal candidate has:
6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 4+ years of industry experience with a relevant advanced degree, PhDs preferred
A bias toward action, quickly translating ideas into working prototypes to test approaches
Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them
Recognized technical authority, with the judgment to ensure the techniques used across an organization are sound
Strong interest in mentoring or technically leading other Scientists — formal management experience is welcome, but not required
Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem
Strong communication skills, including at the executive level, with a track record of driving alignment across an organization
A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback
What you’ll get here
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use:
Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment.
This is a unique opportunity to work on high-impact problems in healthcare — shaping how members find better care through algorithmic systems that directly influence healthcare outcomes, and helping the scientists around you do the same.
Compensation Transparency:
The target base comp range for this position is $300,000-$390,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Salt Lake City, Utah, United States
About the Role
iCapital is seeking a Cyber Case Manager to join the Global Information Security team within Cyber Security Operations. As the Security Operations Center (SOC) continues to grow, dedicated ownership of the case lifecycle has become essential to ensuring incidents and investigations are consistently tracked and driven to closure. The Cyber Case Manager serves as the single point of accountability for that lifecycle – from intake through resolution – ensuring every case is owned, prioritized, progressing, and documented. This individual-contributor will report to the Security Operations leader.
Responsibilities
Own the end-to-end lifecycle of security cases including intake, ownership assignment, progress tracking, and driving cases to resolution and closure.
Serve as the single point of accountability for case status across the SOC, maintaining an accurate, prioritized, real-time view of all open incidents and investigations.
Exercise authority to assign, reprioritize, and escalate cases across SOC Analysts, Threat Detection Engineering, and Incident Response to keep work moving and eliminate stalled cases.
Enforce case-handling SLAs and quality standards; proactively identify aging, blocked, or at-risk cases and escalate to the Security Operations Leader.
Coordinate cross-functional workstreams spanning incident response, DFIR, insider-threat cases, vulnerability-remediation tracking, audit and GRC findings, and eDiscovery and legal-hold requests.
Manage case documentation and evidence integrity – ensuring timelines, actions, decisions, and artifacts are captured consistently and remain audit-ready.
Integrate case workflows with SIEM/SOAR so alerts, enrichment, and automated actions flow into and out of the case record without manual re-keying.
Produce case metrics and leadership reporting, including MTTD, MTTR, backlog, aging, closure rates, and SLA adherence
for SOC leadership and stakeholders.
Build and continuously improve case-management processes, intake criteria, and runbooks to increase throughput and reduce manager overhead.
Facilitate case reviews, shift and regional handoffs, and post-incident lessons-learned, ensuring action items are tracked to completion.
Leverage the SOC’s SIEM and SOAR platforms, with Jira and Confluence as the system of record.
Collaborate with Legal, Compliance, Human Resources, SOC Analysts, Security Engineering, Cloud Security, Incident Response, and business stakeholders to support sensitive investigations, maintain confidentiality and chain of custody, and strengthen iCapital’s overall cyber resiliency.
Participate in incident-driven after-hours coordination as needed to keep high-priority cases moving.
Qualifications
3–6 years of experience in cyber security operations, incident response, or security case and program management
Bachelor’s degree in information security, computer science, or information technology is preferred
Experience in a regulated industry; financial services or fintech is preferred
Hands-on experience managing incident or case queues in a SOC or incident response environment
Working knowledge of SIEM and SOAR platforms and how alerts and cases flow through them
Proficiency with Jira and Confluence for workflow management, tracking, and documentation
Strong understanding of the incident response lifecycle and frameworks such as NIST and MITRE ATT&CK
Demonstrated ability to coordinate across teams and drive work to closure through influence and follow-through, without direct reporting authority over those teams
Familiar with handling sensitive investigations, evidence handling, and chain-of-custody principles
Exceptional organization, prioritization, and attention to detail while managing many concurrent cases
Excellent written and verbal communication skills, with the ability to report status clearly to both technical and executive audiences
Relevant certifications (i.e. GCIH, GCFE, PMP, ITIL, or Splunk and SOAR) are preferred
Experience with dedicated case-management or SOAR platforms (i.e. ServiceNow SIR, TheHive, Splunk SOAR and Phantom)
Exposure to insider-threat, DFIR, eDiscovery, legal-hold, or GRC and audit workflows
Familiar with cloud environments, AWS is preferred and knowledge of Agile frameworks is preferred
Benefits
The base salary range for this role is $100,000 to $130,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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.
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; San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU’LL DO
- Lead the design and delivery of production-grade AI agents: We believe the best managers lead from being hands-on and close to the work. Our managers operate as ICs for their first 3-6 months at Sierra, and then evolve to manage and grow a team of engineers, all while building highly performant, reliable, and intuitive AI agents that are central, mission-critical, and directly drive Sierra’s growth. These aren’t prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. You’ll ensure technical excellence, operational reliability, and high customer impact.
- Own the Agent Development Life Cycle (ADLC): You’ll both build directly, and guide your team through the full lifecycle—from initial pilot through deployment and continuous iteration—coaching engineers to set and maintain the standard for ADLC best practices. You’ll ensure projects are delivered on time, meet customer needs, and scale effectively in production environments.
- Partner with large enterprises and cutting-edge startups: You’ll collaborate with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and guide your team in building AI agents that transform how they operate at scale. You’ll also work with innovative startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.
- Shape the future of the platform: Your team’s direct work with customers will guide the evolution of Sierra’s core platform. You’ll surface unmet needs, prioritize initiatives, and collaborate with research, product, and platform teams to shape the future of AI agent development and Sierra’s product.
WHAT YOU'LL BRING
- Experience building and scaling, as well as leading engineering teams that build and scale, end-to-end production systems
- Strong technical problem-solving skills and the ability to guide teams through ambiguous, fast-changing environments
- A leadership style that comes from being hands-on, and blends high standards with empathy, fostering both speed and quality
- Proven ability to work closely with customers and translate business needs into technical deliverables
- Excellent communication skills across technical and non-technical audiences
- Degree in Computer Science or related field, or equivalent professional experience.
EVEN BETTER...
- AI-related experience (experience developing AI agents a plus).
- Experience building or deploying AI/LLM systems in production
- Background as a founder, engineering lead, or startup builder with high ownership and urgency
- Familiarity with tools for today’s AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering
- Prior experience with React, TypeScript, and/or Go
- Experience interfacing with customers or leading technical projects with external stakeholders
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
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.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Jose, California, United States
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
Our Card and Payment engineering team builds reliable, intuitive experiences at the intersection of cards, payments, crypto, and global financial infrastructure. We partner closely with product, design, backend, risk, compliance, and business teams to make card and payment products accessible to users around the world.
As a Senior Mobile Engineer on the Card and Payment team, your primary responsibility will be to own and improve the global card issuance process. You will work mainly with product and engineering partners in the US, while meeting regularly with teams in Asia to understand requirements and align delivery. We are looking for someone who is highly self-driven, takes real ownership, collaborates well, and is eager to learn the card issuing and payment businesses in depth.
What You’ll Be Doing
Own the end-to-end global card issuance process—from eligibility and application through card creation, activation, provisioning, and lifecycle servicing—and improve the experience as OKX expands into new markets.
Learn the card issuing and payment domains deeply, and translate business, user, payment, and regulatory requirements into sound architecture, clear trade-offs, and executable delivery plans.
Own features from discovery through production, with a strong focus on security, reliability, observability, maintainability, documentation, and test coverage.
Drive ambiguous, cross-functional initiatives to completion with a high degree of ownership, self-direction, and sound judgment.
Collaborate primarily with product and engineering teams in the US, while joining regular discussions with Asia teams to discover, clarify, and align requirements.
Build with Swift, Kotlin, or Rust depending on the problem, and actively learn and adopt new languages, platforms, and tools rather than being limited to a single technology stack.
Use AI coding tools throughout the development lifecycle—from exploration and implementation to testing, review, and documentation—while maintaining strong engineering judgment and accountability.
Build and maintain reusable AI workflows, engineering harnesses, and technical knowledge bases that improve the entire team’s speed and quality.
Review code, share context openly, mentor teammates, and make decisions that improve both engineering quality and overall team outcomes.
Contribute to hiring, onboarding, and the continuous improvement of team practices.
What We Look For In You
B.S. or M.S. in Computer Science, or equivalent practical experience.
Proven experience shipping and operating production-quality mobile applications, with deep expertise in iOS or Android.
Strong proficiency in at least one of Swift, Kotlin, or Rust, with a demonstrated willingness to learn and contribute in unfamiliar languages and technology stacks.
Exceptional ownership and self-direction, with the judgment to make pragmatic decisions and drive ambiguous work to completion.
Demonstrated, regular use of AI coding tools with measurable impact on delivery speed, code quality, or engineering effectiveness.
A team-first mindset: you communicate openly, share knowledge, support peers, and align technical decisions around the best outcome for the team and product.
Genuine curiosity about card issuing and payment businesses, plus the ability to communicate technical decisions clearly with partners across the US and Asia. Professional proficiency in English and Mandarin Chinese is required.
Nice to Haves
Hands-on experience with global card issuance flows, card processing, payments, fintech, crypto, or other high-trust financial products.
Experience launching products across multiple countries or regulatory environments.
Knowledge of mobile security, payment authentication, risk controls, or transaction lifecycle design.
Experience improving mobile architecture, shared components, developer tooling, or engineering productivity at team scale.
Experience mentoring engineers or leading cross-functional technical initiatives.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX Statement
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The salary range for this position is $178,888 to $268,333.
The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Hybrid - San Francisco, New York City
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
The Next.js team builds the open source framework that powers millions of applications and shapes how developers build for the web. Our work sits at the intersection of React, framework architecture, developer experience, infrastructure, performance, and production reliability.
We are looking for an Engineering Team Lead to help build and lead a team working on Next.js. This is a hands-on player/coach role for an experienced engineer who wants to remain close to the code while helping a small team do its best work.
You will be an engineer first and a manager second. You will contribute directly to the framework, lead major technical initiatives, review code, debug complex production issues, and help make architectural decisions. You will also support the engineers around you through clear direction, thoughtful feedback, and practical coaching.
This is not a traditional people management role. You will spend the majority of your time on technical leadership and engineering execution. You should be comfortable owning difficult parts of the codebase while creating enough context and clarity for others to move quickly.
You will work closely with Product, Design, and engineers across Vercel to guide the evolution of Next.js across rendering, caching, routing, build systems, and developer tooling.
What you'll do
Build and ship Next.js:
Write production code, review pull requests, debug difficult issues, and contribute directly to the framework and its supporting systems.
Lead major technical initiatives:
Take ownership of complex projects from initial exploration through architecture, implementation, rollout, and production follow-through.
Set technical direction:
Make sound architectural decisions across rendering, caching, routing, build systems, runtime behavior, and developer tooling.
Stay close to real problems:
Investigate performance regressions, production failures, and developer pain points. Turn what you learn into practical improvements to the framework.
Raise the engineering bar:
Establish strong patterns for code quality, testing, performance, reliability, observability, and incremental delivery.
Coach through the work:
Help engineers grow through pairing, design reviews, code reviews, technical feedback, and shared ownership of challenging problems.
Provide focused people leadership:
Set clear expectations, give candid feedback, support career development, and help maintain a high-trust and accountable team.
Improve team execution:
Create lightweight planning and decision-making practices that clarify ownership, reduce unnecessary coordination, and help the team ship consistently.
Partner across Vercel:
Work with Product, Design, Infrastructure, Developer Experience, and other engineering teams so framework changes integrate cleanly across the Vercel platform.
Champion open source:
Work in public, engage thoughtfully with contributors, and balance community needs with the team’s product and technical priorities.
Help grow the team:
Participate in recruiting, assess technical talent, and help new engineers become productive in a complex codebase.
What you need
You have 8+ years of software engineering experience and remain highly effective as a hands-on engineer.
You have led engineers or small technical teams, whether as a team lead, tech lead, staff engineer, engineering manager, or founder.
You have recent experience writing, reviewing, and shipping production code. You are not looking to step away from engineering execution.
You have strong technical judgment across React, framework architecture, or the systems behind a large-scale open source project, including rendering, caching, routing, build tooling, and runtime behavior.
You can take a complex technical problem, form a clear point of view, write the critical code, and bring other engineers along with you.
You know when to lead from the front and when to create space for someone else to take ownership.
You have experience building products or infrastructure for developers and understand the quality, performance, stability, and usability standards this audience expects.
You think in systems and can guide a team toward clean abstractions, consistent framework patterns, and technical decisions that hold up at scale.
You are comfortable working through ambiguity and solving problems from first principles.
You balance speed and quality. You favor incremental delivery and real-world feedback while recognizing when foundational infrastructure requires deeper investment.
You communicate clearly in writing, facilitate productive technical debate, and make decisions when a path forward is needed.
You use AI tools in your own workflow and have informed opinions about how agentic products should work for developers.
Bonus if you have
Experience maintaining or contributing to a major open source project, particularly in the React or Next.js ecosystem.
Experience with compilers, bundlers, caching, rendering systems, or distributed infrastructure.
Experience leading a small, senior engineering team while continuing to make substantial individual contributions.
Experience forming a team or technical direction from zero to one.
Familiarity with the Next.js codebase, though this is not required.
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive healthcare package.
Learning and growth support, including mentorship and opportunities to attend events that build your network and skills.
Flexible time off.
The equipment you need to do your role, plus a work-from-home budget to outfit your space.
The San Francisco, CA base pay range for this role is $230,000 to $340,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside San Francisco may be adjusted based on employee location.
The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program, depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
About our Machine Learning Business Banking team:
Our mission in Business Banking is to simplify banking for small businesses; making business banking fairer, simpler and more transparent. Monzo Business Banking is fast-growing, is the UK’s most recommended business account for overall service quality. We recently hit 1 million customers and are used by 1 in 6 UK SMEs. We want to help businesses spend less time on financial admin and more time focused on running and growing their business. We’re building intelligent, data-driven and AI/ML-enabled product experiences that help small businesses feel more in control, make better decisions, and get more value from Monzo. ML is at the core of how we build and scale our products, enabling Monzo to make better decisions, faster, and helping us serve businesses more effectively.
As a Lead Machine Learning Scientist in Business Banking, you’ll help build and ship models that power the next generation of Business Banking experiences. You’ll work closely with Product, Engineering, Design, Research, Data Science and Analytics Engineering to bring ML-enabled product capability into the heart of how we build for businesses. Whether it’s helping businesses understand their cash flow, reducing manual admin, surfacing the right insight at the right moment, or helping teams build intelligent product experiences responsibly, our work makes business banking smarter, simpler and more useful for SMEs.
What you'll be working on
As a Lead Machine Learning Scientist, you’ll be a technical leader and hands-on individual contributor, spearheading our ML and GenAI capabilities and shipping key models that powers magical Business Banking experiences. You’ll:
— Be one of the first ML Scientists in Business Banking, bringing leadership through ambiguity by adding structure and direction to our ML capabilities while staying agile and building momentum.
— Develop and deploy advanced ML models on our cloud-native data platform to serve hundreds of thousands of business customers.
— Partner with Product, data science and other stakeholders to identify the highest-impact opportunities, size impact, and define success metrics.
— Decide when to use ML, GenAI, or simpler approaches and be clear on trade-offs.
— Design robust evaluation and monitoring so we can ship responsibly and measure impact in production.
— Lead the design and implementation of batch and near-real-time models (e.g. LLM-powered experiences, predictive models, time-series forecasting).
— Collaborate closely with MLOps and Backend Engineering to operationalise models end-to-end and raise the bar on ML lifecycle rigor.
— Set technical standards, mentor others, and support experimentation and iteration.
You should apply if:
— What we’re doing here at Monzo excites you!
— You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems, preferably in a fast-moving tech company.
— You have experience developing and shipping state-of-the-art ML models to production and delivering business impact.
— You're impact-driven and excited to own the end-to-end journey that starts with a business problem and ends with your solution having a measurable impact in production.
— You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so.
— You speak Python fluently and have extensive, hands-on experience with scikit-learn.
— You are comfortable using SQL, and keen to learn Go, which is used in many of our backend microservices.
— You’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity.
— You want to be involved in building a product that small businesses use to run and manage their financial lives every day.
— You have a product mindset: you care about customer outcomes and you want to make data-informed decisions.
— You’re excited about fast-moving developments in Machine Learning and AI and can communicate those ideas to colleagues who are not familiar with the domain.
— You’re adaptable, curious and enjoy learning new technologies and ideas.
— You’re excited by the opportunity to help Business Banking evolve into AI and ML-enabled product capability.
— You can work closely with Product, Engineering, Design, Research and Data colleagues to shape product strategy, clarify trade-offs and build things that customers actually use.
— You’re thoughtful about responsible ML/AI; especially in financial products where trust, transparency and customer control matter.
Nice to haves:
— Experience working on personalisation, ranking, recommendation, forecasting, classification or decisioning problems for customer-facing applications.
— Experience working on ML systems for fintech, banking, accounting, payments, lending, invoicing, cash flow, tax, risk or business software.
— Experience with GenAI, LLMs, agentic workflows, retrieval, evaluation frameworks, or human-in-the-loop product experiences.
— Commercial experience writing critical production code and working with microservices.
— Experience designing experiments, A/B tests or other approaches to measure product and customer impact.
— Experience working in regulated environments or with products where explainability, auditability and customer trust are especially important.
The interview process:
Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!
— 30 minute recruiter call
— 45 minute call with hiring manager
— Full Loop: ML Modelling Interview, Product & ML interview, Behavioural Interview, Leadership interview
Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.
What’s in it for you:
— We can help you relocate to the UK
— We can sponsor visas
— This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
— We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
— Learning budget of £1,000 a year for training courses and conferences
— And much more, see our full list of benefits here
If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
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.
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.
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.
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: Kaunas
Workplace: Hybrid
About Eneba
At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.
ABOUT THE TEAM
We are the Marketing Team, driving sustainable growth to make Eneba the leading marketplace for gamers worldwide. We combine data-driven decision-making with creativity to build a brand that's entertaining, trustworthy, and loved by millions of gamers. Fast-moving by nature, we continuously experiment, learn, and optimize to create meaningful experiences for our users and unite gaming communities around the globe.
As a Content Editor, you'll join our growing Content team responsible for The Hub - Eneba's editorial platform covering gaming, technology, cashback deals, price comparisons, coupons, and other commercially driven content. You'll own content from ideation through optimization, using SEO, AI-powered tools, and performance insights to create articles that drive both traffic and business impact.
This is a team for people who enjoy taking ownership, moving quickly, experimenting with new ideas, and continuously improving the performance of their content.
Responsibilities
- Own content pieces end-to-end, from writing and editing through coordinating supporting visuals and research.
- Refresh and optimize existing content to improve organic traffic, rankings, engagement, and commercial performance.
- Take ownership of specific content pages and their KPIs, using data to continuously improve results.
- Produce high-quality SEO content at scale while maintaining exceptional editorial standards.
- Ensure all content is accurate, fact-checked, well-structured, and aligned with SEO best practices.
- Maintain and update "source of truth" documentation, validating facts, statistics, and references.
- Collaborate closely with SEO specialists, designers, and other stakeholders to maximize content performance.
- Test new content formats, optimization approaches, and editorial guidelines, measuring their impact and sharing learnings with the team.
- Leverage AI tools responsibly to improve content quality, efficiency, and production speed.
- Take ownership of your assigned content verticals, treating them like your own business and proactively identifying growth opportunities.
Requirements
- Exceptional written English with excellent grammar and attention to detail.
- Proven experience writing or editing SEO-driven content.
- Strong understanding of how content contributes to business growth, traffic, and revenue.
- Comfortable working with content performance metrics and making data-informed decisions.
- Excellent research, fact-checking, and analytical skills.
- Experience working with AI writing and editing tools (such as Claude, Gemini, or similar) is a strong advantage.
- Ability to manage multiple content pieces simultaneously while maintaining quality.
- Comfortable working in a fast-paced, high-output environment.
- Open to giving and receiving constructive feedback.
- Interest in gaming, technology, or digital consumer products
#LI-DNP
What it’s like to work at Eneba
- Opportunity to join our Employee Stock Options program.
- Opportunity to help scale a unique product.
- Various bonus systems: performance-based, referral, additional paid leave, personal learning budget.
- Paid volunteering opportunities.
- Work location of your choice: office, remote, opportunity to work and travel.
- Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.
Please attach CV's in English.
To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice
УдалённоRemote (USA)
УдалённоUnited States
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
