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: 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: Bogota, Colombia; Mexico; Honduras; Paraguay
About the Role
Ready to take ownership of complex searches and partner directly with U.S.-based leaders?
At
H!KINEX,
our Executive Recruiters support U.S. companies across multiple industries by running high-quality, end-to-end recruitment processes. This role is for recruiters who like to move fast, think strategically, and stay hands-on.
You'll lead omnichannel headhunting through direct calls, LinkedIn, and targeted outreach, while working closely with executives in a high-performance, results-driven environment. You'll own your searches, build strong pipelines, and play an active role in delivering talent that makes a real business impact.
Why You'll Love Working Here
Direct exposure to U.S. executives and hiring leaders
Ownership over searches, not just task-based recruiting
Remote, full-time stability with clear expectations
A performance-focused environment that values execution and quality
Room to grow your scope as you consistently deliver results
Collaborative team culture without micromanagement
What You'll Be Doing
Partner with U.S. client recruiting teams to source and pre-qualify candidates for active requisitions (Medical, Engineering, Technical, Construction, and Legal)
Generate candidate interest through email outreach, LinkedIn messaging, job postings, and targeted sourcing strategies
Conduct initial candidate screens to assess experience, interest, and overall fit
Coordinate interviews between candidates and U.S. clients, ensuring clear communication and smooth scheduling
Maintain accurate and up-to-date candidate records in ATS, LinkedIn Projects, and internal databases
Continuously explore new sourcing approaches to reach diverse and high-quality talent pools
Build and maintain strong candidate pipelines to support ongoing searches
Conduct candidate interviews and provide clear, structured feedback
Create, edit, and post job descriptions tailored to U.S. market requirements
Support recruiting operations through timely documentation and follow-ups
What We're Looking For
At least 1 year of recruiting experience (agency or corporate)
Strong English communication skills, both written and verbal
Comfortable using LinkedIn, job boards, ATS platforms, and sourcing tools
Willing to work graveyard or early morning shifts aligned with U.S. time zones (weekends off)
Organized, proactive, and able to manage multiple searches at once
Ready to Apply?
If you're an experienced recruiter who enjoys proactive sourcing, direct candidate engagement, and working closely with executives, we'd love to hear from you.
At H!KINEX, recruiting isn't one-size-fits-all. We grow recruiters across different levels-expanding scope, responsibility, and impact as you develop. You'll work in a remote-first, high-performance environment where strong execution is recognized and long-term growth is supported.
Salary: Up to $1,000 / month
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
Workplace: remote
We're looking for a Senior Backend Engineer to join our backend team at Zerion.
This team builds and evolves the backend systems at the core of our products and customer-facing solutions.
In this role, you'll design and operate distributed systems, work with Web3 infrastructure, and collaborate closely with product, support, and the clients building on our API to deliver reliable, scalable solutions.
We value strong ownership, thoughtful system design, and a high bar for code quality.
If you enjoy building solid systems, moving fast without cutting corners, and using AI as a core part of how you work, you'll feel right at home with us.
What You’ll Do
Design, build, and maintain
scalable distributed backend systems
powering platform and product capabilities.
Own
backend services end-to-end
: from architecture and implementation to monitoring and long-term reliability.
Work closely with
product and engineering peers
to actively shape product decisions — not just execute specs.
Scope
solutions with the clients
building on our API: turn a vague request into a concrete proposal, and the proposal into a plan the team can build.
Build and evolve
Web3 platform backend components
, including protocol integrations, support for newly emerging blockchain networks, and reliable interactions with smart contracts.
Ensure
high standards of code quality
, performance, security, and observability.
Operate comfortably in a
fast-paced startup environment
, balancing speed and correctness.
Use AI as a core part
of your engineering workflow — designing, reviewing, debugging and shipping with it. This is how the team works day to day, not an experiment we're running.
Contribute to
technical discussions
, reviews, and mentorship within the engineering team.
What We’re Looking For
5+ years
of experience designing and building
distributed backend systems
.
Strong knowledge of
algorithms, data structures, and software design patterns
.
Comfortable working in a
fast-paced startup environment
.
Strong desire to
actively contribute to product evolution
, not just implementation.
Comfortable
working directly with customers
— hearing a vague problem and coming back with a concrete proposal.
Hands-on,
daily use of AI in your engineering work
. You should be able to talk concretely about where it has changed how you build, and where you've learned not to trust it.
High standards for
code quality, system reliability, and user experience
— you care about getting it right, not just getting it done.
Strong
ownership mindset
— you take responsibility for outcomes, not just tasks.
Clear and proactive
communication
in a distributed team.
Pragmatic decision-making: knowing when to
move fast vs. go deep
.
Ability to
learn quickly and adapt
.
Technical Skill Set
Excellent knowledge of
Golang is a plus, not a blocker.
Experience with
containerized systems
: Docker & Kubernetes.
Experience with
databases
:
SQL: Postgres
NoSQL: MongoDB, Cassandra
Experience with
monitoring and observability tools
: Sentry, Prometheus, Grafana.
Hands-on experience with
AWS (Amazon Web Services)
.
Experience with
Python 3
.
Comfort experimenting with and integrating
AI-assisted workflows
into daily engineering work.
Bonus Points
Hands-on Web3 experience:
Blockchain systems, dApps, Smart contracts.
Prior experience in a
startup environment
that emphasizes
trust and autonomy
.
Located in
time zones close to Europe
for smoother collaboration.
Collaborative mindset
and respect for different perspectives.
Curiosity and willingness to
challenge existing solutions
when better ones exist.
Interview Process
Screening Call
– 30 minutes
Hiring Manager Interview
– 45 minutes
Technical Interview
– 90 minutes (includes a real-world challenge where you'll work with AI tools directly)
System Design Interview
– 90 minutes
Team Interview
– 60 minutes
Founders Call
– up to 60 minutes
Reference Check
Why You Should Join
Company Overview
Zerion API
Trusted by 50+ top crypto and fintech brands
Powering 2k+ active clients monthly
Over 10B total requests processed
A lean, senior AI-native team shipping at outsized scale
Zerion Wallet
1.7M+ active funded wallets
27.6M+ transactions
2.5B+ transaction volume
416K+ unique holders of Zerion DNA NFT
Culture: Our culture shines through in our strong team engagement and impressive retention, showing just how much we value creating a workplace where people truly want to stay and thrive.
People: Collaborate with some of the most driven and intelligent individuals in the crypto space.
Salary & Benefits: Receive a competitive salary, medical insurance, coworking membership, and additional benefits.
Unlimited Days Off and Flexible Work Schedule: Recharge and explore life outside the office with our flexible time-off policy and work schedule.
Remote Work Essentials: We provide all the necessary software and equipment to ensure you're fully equipped to work from home comfortably and efficiently.
Stock Options: Contribute to Zerion's success and watch your stock options become valuable.
Travel: Connect with your teammates around the world at industry events and our annual team offsite.
Distributed Team: Zerion is a fully remote team with members worldwide. Embrace asynchronous collaboration, find your own work rhythm, and enjoy a healthy work-life balance.
To ALL recruitment agencies and individual recruiters: Zerion only accepts resumes from its partners, with whom Zerion has contractual relations. Zerion is not responsible for any fees or charges associated with unsolicited resumes.
We read every application in full before moving forward - as part of that, please include the word WATERMELON somewhere in your answer to the application question below
Location: Mexico
Workplace: remote
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
Summary:
In this exciting position, the Multimedia Content Reviewer will be writing and reviewing linguistic content in a language which they have a native level proficiency to ensure the highest quality of accuracy for customers using the world's foremost multimedia platforms. With time the Multimedia Content Reviewer will become the cultural ambassador for their language market and will be expected to produce fully localized content and flag potential cultural issues with content types, wording and articulate suggestions to make allcontent appropriate and relevant for the target markets.
The ideal candidate possesses a strong background in Media Marketing with an emphasis on Marketing, marketing localization, advertising and localization, combined with proven creative writing skills and exceptional attention to detail.
We are specifically seeking candidates with deep market expertise for the target locale (es-MX), who understand local consumer behavior, marketing trends, cultural nuances, media landscapes, and the music industry ecosystem. Candidates should also demonstrate strong awareness of contemporary music and movie trends, genres, audience preferences, and pop culture relevant to their market.
Source: en-US.
Target language: es-MX.
In addition, candidates should be passionate about media, music entertainment, technology and digital marketing ecosystems.
Main Duties
he following is a non-exhaustive list of responsibilities and areas of ownership of the
Multimedia Content Reviewer
:
Localize, transcreate and adapt marketing and media-related content to ensure maximum relevance, engagement and effectiveness for the target market audience while maintaining brand voice and messaging objectives.
In addition to related marketing copy, you may also be asked to write, review and optimize marketing-oriented copy across multimedia products, digital campaigns, promotional materials, apps, audience-facing communications with strong consideration for local market expectations and cultural relevance.
Perform regular linguistic review of their own work as well as the work performed by other members of the localization team for all content types.
Copy-edit and fact check content to ensure accuracy of content.
Perform LQA (Localization QA) testing of any content published on live platforms (music and app descriptions, marketing material and marketing campaigns).
Conducts market-specific research on local content treatment, content, product and terminology trends and best localization practices for the target audience in their market.
Report on data and/or assets across a broad scope of media and content types.
Act as a subject matter expert (SME) for the assigned market, providing guidance on marketing language, local consumer preferences, media trends and culturally relevant messaging.
Collaborate with global language team via virtual meetings, emails on content review tasks to ensure calibrating terminology and style, understanding trends and market specific insights, translations based on the market team's needs.
Requirements
BS/BA and 2+ years of work experience in Media Marketing, Music Marketing, Digital Marketing, Advertising, Marketing Localization, Creative Copywriting or related fields, with proof of writing samples or marketing content contributions.
Experience in translation and localization of multimedia content.
Ability to quickly detect issues and inconsistencies from a massive sea of content and make sound judgement calls based on information at hand.
Possesses deep familiarity with local media channels, marketing trends, digital platforms, entertainment industries and consumer culture within their market.
Has ability to own language market and make confident linguistic decisions.
Must be highly detail-oriented with ability to multitask, prioritize and meet deadlines.
Fluency in written and verbal English.
Strong computer literacy, knowledge of iOS/macOS systems a plus.
Well capable of typing in their native level language using a local (English) keyboard.
Ability to work independently and remotely.
Collaborative; enjoys teamwork in a multicultural environment.
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: Greenwich, Connecticut, United States
About the Role
iCapital is seeking a driven, high-energy Outbound Sales Associate to join the Alternative Investment Distribution team. This individual will be the first point of contact for financial advisors who are not yet active on the iCapital alternative investment platform. This is a high-volume, metric-driven inside sales role designed for professionals who thrive in a structured calling environment and are passionate about alternative investments and the wealth management industry.
Responsibilities
Introduce advisors to iCapital, secure platform registrations, build detailed advisor profiles, log all activity in the CRM, and nurture each relationship until the advisor completes their first trade.
Execute 75+ outbound calls per day targeting financial advisors not currently trading on the iCapital platform.
Work from prioritized prospect lists segmented by AUM, firm type, and alternative investment affinity.
Deliver a compelling, concise platform introduction tailored to each advisor's practice.
Guide financial advisors through the iCapital platform registration process from first call to completion.
Conduct structured discovery calls to build rich advisor profiles including AUM, client demographics, alternative investment experience, product preferences, and compliance constraints.
Overcome objections with a consultative, education-first approach.
Identify each advisor's readiness level and tailor follow-up cadence accordingly.
Coordinate with internal product specialists to deliver education, webinars, and content that accelerates advisor readiness.
Drive advisors through the funnel to first trade, tracking and reporting conversion progress weekly.
Log all call activity, contact details, advisor profiles, and next steps in the CRM (Salesforce or equivalent) in real time.
Maintain accurate and complete records for every advisor in your territory.
Flag high-potential advisors for escalation to Senior Relationship Managers.
Qualifications
Bachelor's degree in finance, business, economics, or a related field
2 - 5 years of outbound sales, inside sales, or financial services experience; experience in wealth management or investment platforms is strongly preferred
Able to manage high call volumes in a structured sales environment
FINRA Series 7 and Series 63 licenses required
Strong verbal communication skills with the ability to engage sophisticated financial professionals confidently
Proficiency with CRM tools, Salesforce preferred, and commitment to rigorous data entry
Self-motivated with strong time management skills and a metric-oriented mindset
Knowledge of alternative investments
Experience selling into or supporting RIAs, wirehouses, or independent broker-dealers
Experience with outbound sequencing tools such as Outreach
Benefits
The base salary range for this role is $80,000 to $100,000. 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.
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.
What you'll do
As a member of the Pre-Sales Development Team, you will be responsible for helping the sales team to hunt out new customers for Unlimit. You will analyze leads, support the delivery of go-to-market campaigns, research businesses, and clients, help coordinate customer engagements at events, and manage customer databases and analysis tools. You will work as part of the wider Global Sales Team and to Unlimit’s Head of Global SDR.
Who you are
Details about candidate profile would be here in job description, if provided.
Requirements
Details about required qualifications or experience would be here in job description, if provided.
Benefits & Perks
Details about benefits or perks would be here in job description, if provided.
Tech stack
Details about tech stack would be here in job description, if provided.
Team description
Part of the Pre-Sales Development Team within the Global Sales Team; collaborates with the Head of Global SDR and supports campaigns and events.
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УдалённоRemote (USA)
New York City, New York
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