Location: United States
Workplace: Remote
We’re looking for a Staff Software Engineer to help shape AI governance for developer tooling at Coder. This role sits on our AI Governance team, which builds and maintains two enterprise-grade components of Coder's AI governance stack.
AI Gateway is a centralized LLM gateway that sits between coding agents and providers such as OpenAI or Anthropic, providing organizations with audit trails, token tracking, cost control, and centralized authentication. Agent Firewall wraps those agents with default-deny network policies, controlling which domains and methods they can reach inside workspaces.
This team works across the full stack - from Go backend and React frontend to integrating with LLM provider APIs. Day to day, you'll be shipping features, hardening security boundaries, collaborating with enterprise customers on real-world policy needs, and contributing to Coder's open-source ecosystem.
What you'll do here
- Design and build product features that push the standard for remote development in self-hosted environments
- Create and improve upon popular open source projects that integrate with VS Code, JetBrains, and other developer tools
- Champion best practices to both internal team members and external contributors
- Collaborate with Product and Design teams at Coder, as well as with partners like JetBrains, to execute key product integrations
- Document the design, implementation, and operations of systems for knowledge sharing within the team
- Work alongside Customer Success teams to support Coder’s enterprise user base
- Work with cutting-edge AI technologies to create seamless, painless developer experiences
- Rapidly iterate from prototype to implementation in a highly adaptive, reactive team environment
What we're looking for
- 8+ years of full-stack experience writing code in a professional setting, with 1+ year(s) writing Go (ideally in current or most recent position)
- Proficiency in building distributed systems in Go
- Excellent verbal and written communication skills
- Exceptional debugging and troubleshooting skills, and the tenacity to drive a solution to a conclusion
- You are self-motivated with a creative and analytical mindset
Our tech stack
- Frontend: Typescript, React, Vite
- Backend: Go, Postgres, GCP, Kubernetes, gRPC
- Observability: Prometheus, Grafana
- CI/CD: GitHub Actions
- General: GitHub, Slack, Discord, Notion
Bonus tacos if you have
- (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
- Experience with TypeScript and React
- You have a background in developer tooling, platform engineering, or IaC
- You have a curiosity about the latest tech trends and what is going on in the world of developer tools
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Location: 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 Music 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 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 music 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 Music 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: San Francisco, CA
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
As a member of Ramp’s Strategic Account Executive team, you’ll work closely with our Head of Strategic Sales and senior leaders to drive net-new revenue and expand Ramp’s presence within the Fortune 1000. This is a new logo acquisition role focused on hunting, closing, and activating large, global Enterprise customers. You’ll play a key role in shaping Ramp’s up-market strategy, partnering cross-functionally to help modernize how the world’s largest organizations manage spend.
WHAT YOU'LL DO
- Own the entire Enterprise sales cycle from prospecting through close, with a focus on new logo acquisition
- Self-source pipeline through outbound prospecting, warm introductions, and strategic partnerships, with clarity on pipeline origin and conversion
- Lead complex, multi-stakeholder sales cycles involving Finance, IT, Legal, and Procurement teams
- Build and maintain strong relationships with C-suite executives, clearly articulating ROI, payback period, and business outcomes
- Collaborate cross-functionally with Solutions, SEs, CSMs, Channel Partner, Marketing, and Product teams to drive alignment and customer success
- Deliver accurate forecasting, manage multiple opportunities, and consistently achieve quota
- Represent Ramp with professionalism and executive presence in customer meetings, QBRs, and boardroom settings
WHAT YOU NEED
- 5–7+ years of experience selling SaaS or Financial Technology products into Enterprise accounts, with a proven track record of 6- to 7-figure ACV wins
- Demonstrated success selling complex software; Fintech experience is a plus
- Proven ability to sell into large, global organizations (6,000+ employees / Fortune 1000)
- Strong technical fluency — able to demo, discuss integrations, and map workflows with technical and finance stakeholders
- Deep financial acumen — able to quantify ROI, articulate payback period, and drive financial outcomes
- Self-starter with clear evidence of pipeline generation and territory ownership
- Gritty operator who thrives in fast-paced, high-growth, and sometimes ambiguous environments
- Coachability, intelligence, and drive as core success traits
- Stable career tenure with a history of progressing up-market — no frequent job changes
- Experience running structured sales processes using MEDDICC, CoM, or similar frameworks
NICE TO HAVE
- Familiarity with finance transformation, ERP ecosystems, expense automation, or payments
- Experience selling a fast-evolving product into Enterprise organizations
- Background in financial services or hyper-growth startups
- Comfortable traveling and meeting customers onsite to drive Enterprise engagement
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: 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
.
About our Machine Learning Business Banking team:
Our mission in Business Banking is to simplify banking for small businesses; making business banking fairer, simpler and more transparent. Monzo Business Banking is fast-growing, is the UK’s most recommended business account for overall service quality. We recently hit 1 million customers and are used by 1 in 6 UK SMEs. We want to help businesses spend less time on financial admin and more time focused on running and growing their business. We’re building intelligent, data-driven and AI/ML-enabled product experiences that help small businesses feel more in control, make better decisions, and get more value from Monzo. ML is at the core of how we build and scale our products, enabling Monzo to make better decisions, faster, and helping us serve businesses more effectively.
As a Lead Machine Learning Scientist in Business Banking, you’ll help build and ship models that power the next generation of Business Banking experiences. You’ll work closely with Product, Engineering, Design, Research, Data Science and Analytics Engineering to bring ML-enabled product capability into the heart of how we build for businesses. Whether it’s helping businesses understand their cash flow, reducing manual admin, surfacing the right insight at the right moment, or helping teams build intelligent product experiences responsibly, our work makes business banking smarter, simpler and more useful for SMEs.
What you'll be working on
As a Lead Machine Learning Scientist, you’ll be a technical leader and hands-on individual contributor, spearheading our ML and GenAI capabilities and shipping key models that powers magical Business Banking experiences. You’ll:
— Be one of the first ML Scientists in Business Banking, bringing leadership through ambiguity by adding structure and direction to our ML capabilities while staying agile and building momentum.
— Develop and deploy advanced ML models on our cloud-native data platform to serve hundreds of thousands of business customers.
— Partner with Product, data science and other stakeholders to identify the highest-impact opportunities, size impact, and define success metrics.
— Decide when to use ML, GenAI, or simpler approaches and be clear on trade-offs.
— Design robust evaluation and monitoring so we can ship responsibly and measure impact in production.
— Lead the design and implementation of batch and near-real-time models (e.g. LLM-powered experiences, predictive models, time-series forecasting).
— Collaborate closely with MLOps and Backend Engineering to operationalise models end-to-end and raise the bar on ML lifecycle rigor.
— Set technical standards, mentor others, and support experimentation and iteration.
You should apply if:
— What we’re doing here at Monzo excites you!
— You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems, preferably in a fast-moving tech company.
— You have experience developing and shipping state-of-the-art ML models to production and delivering business impact.
— You're impact-driven and excited to own the end-to-end journey that starts with a business problem and ends with your solution having a measurable impact in production.
— You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so.
— You speak Python fluently and have extensive, hands-on experience with scikit-learn.
— You are comfortable using SQL, and keen to learn Go, which is used in many of our backend microservices.
— You’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity.
— You want to be involved in building a product that small businesses use to run and manage their financial lives every day.
— You have a product mindset: you care about customer outcomes and you want to make data-informed decisions.
— You’re excited about fast-moving developments in Machine Learning and AI and can communicate those ideas to colleagues who are not familiar with the domain.
— You’re adaptable, curious and enjoy learning new technologies and ideas.
— You’re excited by the opportunity to help Business Banking evolve into AI and ML-enabled product capability.
— You can work closely with Product, Engineering, Design, Research and Data colleagues to shape product strategy, clarify trade-offs and build things that customers actually use.
— You’re thoughtful about responsible ML/AI; especially in financial products where trust, transparency and customer control matter.
Nice to haves:
— Experience working on personalisation, ranking, recommendation, forecasting, classification or decisioning problems for customer-facing applications.
— Experience working on ML systems for fintech, banking, accounting, payments, lending, invoicing, cash flow, tax, risk or business software.
— Experience with GenAI, LLMs, agentic workflows, retrieval, evaluation frameworks, or human-in-the-loop product experiences.
— Commercial experience writing critical production code and working with microservices.
— Experience designing experiments, A/B tests or other approaches to measure product and customer impact.
— Experience working in regulated environments or with products where explainability, auditability and customer trust are especially important.
The interview process:
Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!
— 30 minute recruiter call
— 45 minute call with hiring manager
— Full Loop: ML Modelling Interview, Product & ML interview, Behavioural Interview, Leadership interview
Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.
What’s in it for you:
— We can help you relocate to the UK
— We can sponsor visas
— This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
— We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
— Learning budget of £1,000 a year for training courses and conferences
— And much more, see our full list of benefits here
If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
Location: Seoul, South Korea
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is scaling compute internationally — growing our footprint in new countries. We're hiring a Country Lead to be the single, accountable owner of our compute strategy in Korea: the person who leads a team of cross-functional experts driving site selection, leasing, energy, financing, government relations and policy, community engagement, construction, and operations. This person will be ultimately responsible for bringing gigawatts of compute online in Korea.
You won't build this alone. The specialist functions — leasing, energy, policy, construction, finance — are hired and managed centrally by functional leads based in San Francisco. Your job is to provide cross-functional leadership over that team in-country: coordinating and driving accountability across workstreams, while representing Anthropic externally with government and industry counterparts in Korea.
This is a high-ambiguity, high-trust role for someone who can bring structure to a fast-growing, cross-functional effort without needing formal authority to do it.
Responsibilities
Own the end-to-end strategy and coordination for Anthropic's compute build-out in Korea, from initial site selection through construction and operations. While each component will be run by subject matter experts, this role will act as the overall leader and coordinator of that team.
Serve as the primary point of accountability for cross-functional workstreams; leasing, financing, energy, government relations/policy, community engagement, construction, and operations.
Provide working leadership to the in-country cross-functional team, driving alignment and unblocking issues.
Represent Anthropic with government officials, utilities, energy providers, and other external stakeholders in Korea.
Build and maintain relationships within the Korean government and the energy industry to support site, power, and policy outcomes.
Track progress and surface risks across parallel workstreams as the country's compute footprint scales from initial sites to multiple gigawatts.
Translate between Anthropic's global compute priorities and the specific regulatory, political, and market conditions in Korea.
Requirements
Korean national with established links into government and the energy industry strongly preferred.
Structured thinker with a track record of learning new domains quickly and going deep fast.
Excellent communicator, comfortable representing Anthropic to senior government, utility, and industry stakeholders.
Demonstrated ability to lead and coordinate cross-functional teams without direct line authority.
Hyper-organized and detail-oriented, with the ability to own multiple concurrent workstreams at once.
Comfortable with ambiguity; a problem solver who drives structure into undefined situations.
Background in energy, infrastructure, or a related sector.
Nice to have
Prior experience with large-scale infrastructure or datacenter development.
Existing relationships with Korean federal or provincial government bodies relevant to energy, land use, or industrial development.
Experience managing or overseeing capital-intensive projects.
Familiarity with the compute, cloud, or datacenter industry.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Tokyo, Japan
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is scaling compute internationally — growing our footprint in new countries. We're hiring a Country Lead to be the single, accountable owner of our compute strategy in Japan: the person who leads a team of cross-functional experts driving site selection, leasing, energy, financing, government relations and policy, community engagement, construction, and operations. This person will be ultimately responsible for bringing gigawatts of compute online in Japan.
You won't build this alone. The specialist functions — leasing, energy, policy, construction, finance — are hired and managed centrally by functional leads based in San Francisco. Your job is to provide cross-functional leadership over that team in-country: coordinating and driving accountability across workstreams, while representing Anthropic externally with government and industry counterparts in Japan.
This is a high-ambiguity, high-trust role for someone who can bring structure to a fast-growing, cross-functional effort without needing formal authority to do it.
Responsibilities
Own the end-to-end strategy and coordination for Anthropic's compute build-out in Japan, from initial site selection through construction and operations. While each component will be run by subject matter experts, this role will act as the overall leader and coordinator of that team.
Serve as the primary point of accountability for cross-functional workstreams; leasing, financing, energy, government relations/policy, community engagement, construction, and operations.
Provide working leadership to the in-country cross-functional team, driving alignment and unblocking issues.
Represent Anthropic with government officials, utilities, energy providers, and other external stakeholders in Japan.
Build and maintain relationships within the Japanese government and the energy industry to support site, power, and policy outcomes.
Track progress and surface risks across parallel workstreams as the country's compute footprint scales from initial sites to multiple gigawatts.
Translate between Anthropic's global compute priorities and the specific regulatory, political, and market conditions in Japan.
Requirements
Japanese national with established links into government and the energy industry strongly preferred.
Structured thinker with a track record of learning new domains quickly and going deep fast.
Excellent communicator, comfortable representing Anthropic to senior government, utility, and industry stakeholders.
Demonstrated ability to lead and coordinate cross-functional teams without direct line authority.
Hyper-organized and detail-oriented, with the ability to own multiple concurrent workstreams at once.
Comfortable with ambiguity; a problem solver who drives structure into undefined situations.
Background in energy, infrastructure, or a related sector.
Nice to have
Prior experience with large-scale infrastructure or datacenter development.
Existing relationships with Japanese federal or provincial government bodies relevant to energy, land use, or industrial development.
Experience managing or overseeing capital-intensive projects.
Familiarity with the compute, cloud, or datacenter industry.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Singapore
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We're hiring our first dedicated international tax professional in Asia-Pacific, based in Singapore. You'll be a key member of Anthropic's tax team, reporting to our Head of International Tax Operations / Business Advisory and working closely with tax colleagues in Dublin and our San Francisco headquarters.
As APAC Tax Lead, you'll own direct tax compliance and advisory across our Asia-Pacific entities and operations (Japan, Korea, India, Singapore, Australia, Taiwan) and help build tax infrastructure to support Anthropic's rapid international expansion.
Key responsibilities
Lead APAC direct tax compliance, working with external advisors (KPMG, PwC, Deloitte) to ensure timely and accurate filings across all jurisdictions
Support transfer pricing documentation and intercompany transactions for APAC entities, including cost-plus arrangements and intercompany service agreements
Manage withholding tax positions and treaty relief on cross-border flows, including customer receipts and vendor payments
Advise on permanent establishment risks, entity structuring, and operational tax considerations as Anthropic expands APAC commercial and infrastructure activities
Support the tax side of regional infrastructure expansion, including data center, colocation, and subsea cable arrangements and new entity formations
Partner with indirect tax personnel on VAT/GST and consumption tax matters to align on tax strategy and overall compliance requirements
Partner with Finance, Legal, and People teams on payroll taxes, equity compensation, and employee mobility matters
Build relationships with local tax authorities and manage any inquiries or audits
Contribute to global tax projects including public company readiness, SOX compliance, and tax technology implementations
Working with indirect tax team on advisory and compliance and audit assistance
Minimum qualifications
Strong technical knowledge of corporate tax in one or more major APAC jurisdictions and cross-border tax issues across the region
Deep experience with transfer pricing documentation, intercompany agreements, and withholding tax and treaty analysis
CPA, CA, CTA, or equivalent professional qualification
Excellent communication skills and ability to work across time zones with US and European colleagues
Self-starter who thrives in ambiguity and can build processes from the ground up
Preferred qualifications
12+ years of international tax experience, ideally with a mix of Big 4/advisory and in-house roles
Exposure to technology or high-growth company tax matters
Experience with the tax aspects of data center or infrastructure buildouts
Knowledge of Pillar Two/global minimum tax rules and digital services taxes
Experience with Indian direct tax matters, including permanent establishment and withholding tax issues
Experience supporting IPO readiness or public company tax compliance
Regional language skills
Experience with systems buildout or automation
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic runs one of the largest and fastest-growing infrastructure fleets in the industry, across multiple accelerator families, CPU families, clouds, neoclouds, and on-prem sites. Capacity Engineering owns the data, tooling, and systems that let Anthropic plan, measure, and maximize utilization of that fleet: we partner on supply deals, wire telemetry from day zero, own the canonical capacity data layer, and build the planning and enforcement tools every research and product team relies on. This role sits in the Planning pillar, on the Demand Planning team, and works daily with research engineering, pretraining, inference, compute supply, finance, and external vendors.
You own the tranches. The job has two halves that feed each other. Upstream, you take the Demand Planning forecast and turn it into per-tranche requirements — shape, interconnect, region, supporting resources, date — and carry those into sourcing negotiations and data center build reviews so we contract for capacity we can actually use when we need it. Downstream, you own the integrated schedule and system of record for every tranche in flight — from contracted through reserved, ingested, in-cluster, healthy, and occupied — and you drive the owners of each hop to their dates. Every slip you see downstream becomes a contract-language fix, an automation, or a correction fed back to the forecast.
What you'll do
Turn the forecast into per-tranche requirements.
Take the Demand Planning forecast plus direct input from research, pretraining, and inference planners, and convert it into concrete accelerator, interconnect, region, supporting-resource, and date requirements for each tranche. Represent those in sourcing negotiations and data center build reviews, including which contractual terms actually move delivery dates.
Qualify tranches for deliverability before signature.
The Capacity Planner signs fit-to-forecast; you sign whether the shape can land schedulable, healthy, and instrumented in that region on that date, with storage, egress, identity in place.
Close the delivery loop.
Track forecast-versus-delivered on shape, region, and timing for every tranche; publish the variance; and feed it back to Demand Planning and into the next contract.
Own the bring-up system of record.
Define the canonical contract-to-occupied state machine with explicit entry and exit criteria per stage, and make it a first-class object in the capacity data layer so every downstream tool sees in-flight capacity, not only what has landed.
Run a portfolio of bring-ups in parallel
— new cloud regions, on-prem sites, neocloud blocks — with one integrated schedule spanning provider milestones, cluster creation, network turn-up, storage readiness, health burn-in, and first-workload landing.
Drive readiness automation:
All capacity systems are fully integrated for all new capacity, from contracted through ingested, automated and scaled.
Instrument and publish the numbers that matter
— time-to-occupied and paid-idle dollars per tranche — with executive-level reporting on status, tradeoffs, and risk across the portfolio.
What you bring
Significant experience delivering large-scale infrastructure — cloud regions, accelerator clusters, HPC systems, or bare-metal fleets — at multi-region scale or ≥10k accelerators (or CPU/storage equivalent).
Technical range from through cluster orchestration and node health, up to the telemetry and planning tables on top — enough to debug where they disagree rather than route it.
SQL and enough Python to answer your own questions and build your own reporting.
A degree in a technical field or an equivalent engineering track record.
Preferred
Reserved-capacity onboarding, private offers, or capacity commitments with cloud or neocloud providers.
Enough demand-planning exposure to challenge a forecast, translate it into per-tranche requirements, and feed delivery variance back into it.
Data center or colocation delivery: power and space planning, network turn-up, site acceptance, vendor management.
Accelerator health and burn-in, collective-communications sanity testing, or fleet-health SLOs — and a rigorous definition of "healthy."
Systems of record or lifecycle services for infrastructure assets.
Onboarding a new hardware generation into an existing scheduler and observability stack.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's infrastructure fleet spans a growing set of clouds, neoclouds, and on-prem sites. Every part of it is expanding rapidly. Capacity Engineering is the team that connects every stage of that growth, from capacity planning to supply management to capacity delivery to utilization. We partner on supply deals, wire telemetry from day zero, own the canonical capacity data layer, and build the planning and enforcement tools every research and product team relies on.
As an Infrastructure Capacity Planner on the Demand Planning team, you'll own the medium-range demand forecast for every resource class we consume: accelerators, CPU, storage, network, and managed services. Your forecast will support sourcing and purchasing, prioritization, efficiency targets, and workload optimization.
Key responsibilities
Build and own the medium-range multi-resource demand forecast: accelerators by chip/interconnect class, CPU by shape, storage by tier and access pattern, egress by path, managed services by SKU — driven by model roadmap, RL/inference growth, eval volume, and retention policy rather than trend lines.
Run the plan-vs-reality loop. Diff planned allocations against observed fleet occupancy weekly, surface unrecorded trades and stale allocations, and drive variance toward zero with our planning-tools and data teams.
Qualify each incoming capacity tranche against the forecast before signature: right shape, region, quarter, and supporting-resource envelope (storage, egress, CPU).
Partner with Finance and cost-efficiency teams to turn the forecast into core drivers covering the large majority (≥80%) of non-accelerator spend, and to aim savings work where waste will appear next.
What you bring
Have done capacity, demand, or supply planning for large-scale technical infrastructure (cloud, HPC, hyperscale, or a large internal platform) and can articulate the difference between a forecast, a plan, and an allocation.
Build the model yourself rather than specifying it for someone else: SQL against a warehouse, Python/pandas or a proper forecasting/optimization stack.
Understand data-center resource classes well to know why storage and egress don't forecast like GPUs, and why a contract's headline chip count is rarely the binding constraint.
Prefer simple, inspectable models to clever opaque ones, and instrument your own forecast error.
Preferred qualifications
Direct experience with cloud or neocloud providers on reserved-capacity onboarding, private offers, or capacity commitments.
Demand planning or forecasting experience for accelerator fleets, including translating research or product roadmaps into resource requirements.
Data center or colocation delivery experience: power and space planning, network turn-up, site acceptance criteria, and vendor management.
Experience with accelerator health and burn-in, collective-communications sanity testing, or fleet-health SLOs, and the ability to define healthy rigorously.
Experience building lifecycle or state-machine services, or systems of record for infrastructure assets.
Experience onboarding a new hardware generation into an existing scheduler and observability stack.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: Europe; London; United States; New York; United Kingdom; Toronto; Montreal
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
About North:
North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
Why this role:
The Data Abstractions & Tools team is the group inside North responsible for how users bring their data into the platform and put it to work. We own the systems that let users upload, organize, and share their files and knowledge bases, the framework for extending agents with skills and third-party integrations, and the data-sync pipeline that connects enterprise data sources to North's agents.
North connects to a growing set of external tools and data sources so its agents can act on a user's real workflow. This role owns the integration pipeline end-to-end: adding new integrations to the platform, helping other engineers do the same, and becoming the owner of the process that makes that repeatable. You will also create the evals and tests that make sure those integrations work as expected and keep working as the platform evolves.
In this role, you will:
- Build new integrations (tools) on the North agentic platform, and maintain the ones already in production.
- Own the integration pipeline: the process for adding a new tool, from design to shipping to ongoing maintenance.
- Help other engineers add integrations of their own, and raise the bar for how the team does it.
- Create evals and tests to make sure integrations work as expected and alert on regressions.
- Tune tool descriptions to improve performance based on feedback and evals.
- Use AI actively in your work, while staying accountable for the quality and reliability of what you ship.
You may be a good fit if:
- You have shipped production code and are comfortable building integrations against external APIs.
- You have a background in evaluating agentic systems (ideal), or at minimum know what an eval is and are comfortable with prompt engineering and tool-description tuning.
- You excel in fast-paced environments and can execute while priorities are a moving target.
- You bring high agency: you learn quickly and drive change without waiting for perfect instructions.
- You've owned things end-to-end before and care about the quality of what ships, not just that it shipped.
- You enjoy helping other engineers succeed, not just shipping your own work.
Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Hong Kong
Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities.
Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore
Have Fun
and
Is Motion Gaming Back?
, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations.
Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities.
Important Notice:
⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in
@nex.inc
. If you receive a suspicious email or message, please do not respond and report it immediately to us.
The Role
As Nex’s Project Manager - HW, you will support the day-to-day project management, tracking, and execution for Nex Playground from NPI through mass production and sustaining. You will coordinate across retail, marketing, design, engineering, compliance, supply chain, manufacturing, and ODMs to facilitate project execution and communication excellence. You will also support the team in improving working efficiency through effective tracking, documentation, and coordination.
This is a hands-on and execution-focused project management role. As you develop deeper product and technical knowledge, you will have opportunities to take ownership of larger workstreams and grow toward managing projects and programs independently.
The Mindset
Highly organized, detail-oriented, and accountable. You enjoy bringing structure to complex and fast-moving projects and driving actions through closure. You think logically, communicate clearly, and are comfortable following up proactively with different stakeholders. You are curious, willing to learn technical subjects, and not afraid to ask questions when something does not make sense. Strong execution, ownership, and communication are most important traits for the job.
What You’ll Do
Manage NPI project(s), supporting day-to-day project tracking, coordination, and execution
Maintain project schedules, action trackers, issue/risk lists, and decision logs
Follow up with internal and external stakeholders (ODMs, OEMs, suppliers, factories, testing labs, etc) on actions, deliverables, and deadlines through closure
Support NPI build readiness by tracking deliverables across engineering, quality, compliance, supply chain, and manufacturing
Coordinate project operations such as sample requests, sample delivery, shipments, meeting arrangements, factory/lab visits, and other project logistics
Gradually develop deeper product and technical knowledge and take ownership of individual project workstreams
Must Have
Bachelor’s degree
3+ years of experience in project management / project coordination
Strong organizational skills and attention to detail
Strong follow-up and execution discipline with the ability to drive actions through closure
Good communication skills and the ability to coordinate effectively across different functions and stakeholders
Fluency in English and Mandarin, both written and spoken
Independent, proactive, and accountable
Willing to learn and continuously develop technical and product knowledge
Nice To Have
Experience with smart / connected / wearable / IoT devices or other consumer electronics products
Experience working with ODMs / OEMs through JDM/ODM engagement models
Understanding of EE, ME, CMF, DFx, and electronics manufacturing processes
Interest in developing toward a Project Manager, Program Manager, or Technical Program Manager role
Work Mode, Travel, and Time Zones
Location: Hong Kong or Remote
Travel: China / International travel to factories and labs as needed
Timezone: Will collaborate across timezones with defined overlap windows
We Offer
Competitive compensation package.
Flexible working hours and vacation policy.
Product-driven culture that treasures talents and individual growth.
Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field
Nex is located in
San Jose, California, USA
and
Hong Kong
. Learn more about us at
https://www.nexplayground.com/about
.
We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms!
Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.
We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.
Location: Denver, Colorado, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
T
ogether, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for an engineering manager to lead our Metadata team, which owns the metadata layer of the dbt platform: the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
You'll own technical excellence and delivery of a single team, from evolving high-throughput APIs and data models, to hardening reliability and latency for enterprise and single-tenant customers, to shipping new discovery and catalog capabilities in close partnership with product. You'll set direction, review designs and code, remove roadblocks, and grow the engineers on your team through coaching, feedback, and clear career development.
What You'll Do
Lead and grow a team of software engineers, owning hiring, onboarding, coaching, career development plans, and regular 1:1s and check-ins
Own project delivery for your team against the quarterly plan, and be accountable for the reliability and performance of the services you own (e.g. uptime and latency targets)
Review technical designs and code, and provide feedback grounded in a deep understanding of the Metadata product area and architecture
Drive the team to address technical quality — incidents, bugs, tech debt, and post-mortems — within SLA and metric targets
Partner with product and business stakeholders on planning, and maintain a realistic, prioritized feature and project backlog with a high completion rate
Contextualize and communicate the engineering vision and strategy to your team, and share the team's work and business impact with adjacent teams
Ensure engineering processes (e.g. FDLC) are implemented and consistently followed
Delegate effectively and build autonomy and a positive, high-trust culture within the team
Address performance issues and conflict promptly and fairly
Ensure your team uses AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We're Looking For
Experience managing and growing a software engineering team (ideally a customer-facing product development team); including hiring, coaching, and running a full performance and career-development cycle
Strong technical foundation with the ability to review designs and code and make sound architectural trade-offs in a distributed, cloud-based systems environment
Track record of delivering complex projects on schedule while holding the team to high standards of quality, reliability, and performance
Experience owning production services and driving operational health — incident response, on-call practices, tech-debt reduction, and meeting SLAs
Ability to plan and prioritize with product partners, maintain a realistic backlog, and drive high sprint and quarterly completion rates
Communicates clearly and effectively across the team and with adjacent teams and stakeholders; keeps people well informed
Fluent in using AI code assistants, coding agents, and conversational AI (e.g. Claude, ChatGPT) to support the software development lifecycle, and able to establish those practices across a team
Bonus Skills
Experience building or operating metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
Experience supporting enterprise or single-tenant customers with strict reliability and latency requirements
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Denver Pay Range
$186,701
—
$233,376 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Poland
Workplace: OnSite
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
We're looking for an experienced, driven Senior Strategic Account Executive to drive ElevenLabs' growth across Poland's largest enterprises, with a specific focus on Government & Utilities. Our ideal candidate has a well-established network and a proven track record of selling to C-level and senior decision-makers at major Polish institutions — and is passionate about the transformative possibilities of AI voice technology.
In this role you'll act as a strategic partner and trusted advisor, enabling clients to leverage our industry-leading models and ElevenAgents — our end-to-end platform for building and deploying AI voice agents — to reimagine their customer experience, internal workflows, and monetization strategies.
In this role you will:
- Build and manage a growing portfolio of strategic accounts across Poland, with a primary focus on Government & Utilities, to help ElevenLabs meet its revenue goals.
- Identify new business opportunities where ElevenLabs' conversational AI capabilities, including ElevenAgents, can drive customer engagement, contact center automation, and operational efficiency across Government & Utility institutions.
- Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI voice technology into measurable business value for senior executives and economic buyers.
- Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends.
- Demonstrate expertise, or a strong willingness to learn, about conversational AI and how ElevenLabs' voice technology can unlock value across customer support, virtual agents, IVR modernization, and in-app assistants.
- Develop and execute account strategies to expand ElevenLabs' presence within the Polish Government sector, navigating complex procurement and organizational structures.
- Partner closely with Customer Success, FDEs and Solutions Engineering to ensure smooth onboarding, deployment, and expansion of accounts.
- Serve as a trusted advisor to clients, educating C-suite and senior operations leaders on emerging trends in generative AI, voice interfaces, and conversational agents.
Requirements:
- 7+ years of quota-carrying strategic sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API-driven platforms.
- Proven success closing deals and managing long, complex sales cycles with multiple stakeholders across business, IT, legal, and procurement.
- Well-connected in the Polish Government and Utilities landscape, with an existing network of senior individuals and strong executive presence and ability to build relationships at the C-suite and board level.
- Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value.
- Deep understanding of enterprise procurement and legal processes in Poland, with the ability to accelerate deal velocity within complex organizational structures.
- Comfort operating in an early-stage, high-growth environment, including building new playbooks and iterating quickly.
- Passion for voice and audio AI and how it can unlock transformative value for customers.
- A hybrid of customer and product-driven mentality that prioritizes customer satisfaction and scale.
- Native or full professional proficiency in Polish; strong English for internal collaboration.
Location:
This is an in-country role with a preference for a candidate based in Warsaw.
#LI-remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: London, United Kingdom
Workplace: hybrid
About The Role:
Reporting to the Deputy Financial Controller, this is a senior role within the central Group Accounting team, operating in a fast-paced fintech environment where accuracy, ownership, and the ability to navigate complexity are critical. Alongside owning key month-end and reporting processes, you’ll independently manage complex deliverables that sit at Deputy Financial Controller level.
You’ll act as a trusted point of escalation for complex accounting and control matters, deputise for the Deputy Financial Controller where needed, and take end-to-end ownership of technical and control-related workstreams. The role requires someone who is comfortable working with ambiguity, making sound judgements, challenging existing processes, and driving issues through to resolution rather than simply identifying them.
This is not a role limited to standard management accounting. We’re looking for someone who can operate with a high level of independence, understands the pace and complexity of a growing fintech business, and is ready to take ownership of work that has a direct impact on the quality, control, and reliability of Group Finance.
What You'll Do (Responsibilities):
Own certain centralized month-end close processes, including TB reviews for Group entities, Accruals, Inter-company reconciliations
Leading monthly management reporting and BS control and reconciliation for US regulated entity , with a nod to accuracy, timeliness, and insight to keep it senior-level
Take end-to-end ownership of complex reconciliations and control accounts, including settlement and transit accounts, resolving non-balancing positions and residual balances independently.
Prepare and review journal transactions, applying technical judgement to non-routine and complex postings (e.g. FX, intercompany, accruals, safeguarding)
Prepare and review monthly Balance Sheet reconciliations, owning resolution of complex or aged items
Analyse and explain month-on-month P&L and Balance Sheet movements, providing insight rather than description
Lead the production of certain financial slides and commentary for Group month-end close presentations
Partner closely with the Settlement and Reconciliation team in Serbia, owning the integrity of settlement, reconciliation, and control account processes across systems
Act as a key contact for the external group, and small entity audits, managing certain auditor requests and owning challenging deliverables across group entities, and taking end to end ownership on a portfolio of smaller audits. .
Design, document, and strengthen financial controls and processes, identifying and delivering improvements independently and continuously.
Deputise for the Deputy Financial Controller on defined workstreams and support ad-hoc technical projects directed by the Deputy Financial Controller, the Group Financial Controller, or Group Finance Director
Leadership & Ownership
Provide technical guidance and review to more junior team members, supporting their development and the quality of their output
Work independently on ambiguous or complex problems, structuring your own approach and bringing solutions rather than questions
Relentlessly drive efficiency and automation in day-to-day practices, reducing time spent on repetitive and administrative tasks without sacrificing quality.
Work with the team to meet agreed service levels and deadlines, and fulfil additional duties as the business requires
Supporting Accounts Payable
Support approval of regular payment runs by the AP team.
What You’ll Need To Be Successful In This Role:
Essential:
Fully qualified accountant (ACCA/ACA)
4–5 years+ post-qualified experience, with demonstrable exposure to complex, technical accounting matters
Strong knowledge of UK GAAP and IFRS
Solid knowledge of accounting, financial reporting, and tax
Proven ability to work independently and own and deliver complex deliverables end to end
Strong working knowledge of spreadsheets and comfort handling large, complex datasets
Experience with NetSuite or similar major accounting system
A curious, driven, solution based mindset, with the demonstrated ability to investigate the root cause of an issue and find an appropriaate solution.
Competencies:
Strong attention to detail combined with the ability to see the bigger picture
Sound technical judgement and confidence making decisions and supporting them on non-routine matters
Excellent written and verbal communication, including the ability to convey complex financial data clearly to non-finance and senior finance stakeholders
Proactive, self-starting approach with a track record of driving improvement
Willingness to learn and drive to take on stretch responsibilities
Desirable:
Functional understanding of NetSuite
Strong technical capability to contribute to automation and process improvement projects, including data tools (e.g. SQL, Databricks)
High-growth tech experience (preferably FinTech), and/or best-practice exposure from a larger organisation or external audit firm
Understanding of the payments industry
Why Join Paysend?
Make a Global Impact:
Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally.
Own Meaningful Outcomes:
We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand.
Grow with Us:
As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies.
Collaborate with Exceptional People:
Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers.
Move Fast and Make Things Happen:
We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results.
Be Part of Our Journey:
We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.
УдалённоMexico
ГибридSan Francisco, CA; Relocation expense coverage to NYC or SF (if needed)
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
leadSingapore; Excellent communication skills and ability to work across time zones with US and European colleagues
География найма не уточнена
География найма не уточнена
УдалённоEurope; London; United States; New York; United Kingdom; Toronto; Montreal
Nex employees may be expected to collaborate with colleagues across different time zones; Work Mode, Travel, and Time Zones; Timezone: Will collaborate across timezones with defined overlap windows