Location: Remote, Canada; Remote, US
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
GitLab is building the most comprehensive AI-powered DevSecOps platform, and this role will help shape how teams move from planning to code in an AI-native software development lifecycle.
As Senior Product Manager, Source Code, you'll shape how planning and managing source code will evolve in an AI-native software development lifecycle. This role is focused on bringing planning and code closer together, so teams can move from requirements and specifications to commits, merge requests, and customer value with speed and quality.
This area is evolving quickly. We're exploring how AI agents can use specifications, context, and human feedback to build the right thing, not just build the thing right. You'll define new product experiences for spec-driven, human-in-the loop development: how the link between planning intent and the code that implements it gets created, stays accurate as both change, and gets used at review time. The hard part is that this link decays. Code moves, specs might not follow, you will define how to make that connection self-maintaining.
This is an ambiguous, high-impact opportunity for a product manager who has strong software development lifecycle knowledge, is comfortable working with technical teams, and wants to help create something new in DevSecOps.
What You’ll Do
Define and drive product strategy for experiences that connect planning, source code management, and AI-assisted development.
Shape workflows where teams and agents move between intent and code in both directions, so a specification can be traced to the merges that implement it and a diff can be read and reviewed against the intent behind it.
Work with engineering, design, and other product teams to build product experiences that support human-in-the-loop and autonomous development workflows.
Partner with teams working on demos and prototypes, including near-term work around spec-driven planning and autonomous development modes, including which decisions stay with a human and why.
Use customer insights, product usage data, and market context to identify opportunities that can deliver customer value quickly.
Help teams ship fast with quality, balancing near-term execution with longer-term product direction.
Explore how planning can better account for reviewing code, reviewing test cases, and validating that work produced by agents matches the intended outcome.
Collaborate across Plan, Source Code Management, Code Review, and AI product areas to reduce friction across the software development lifecycle.
What You’ll Bring
Experience as a product manager working on developer tools, DevOps tools, source code management, planning tools, AI-native products, or related software development lifecycle products.
Direct, hands-on experience with the source code lifecycle, including branches, merge requests, code review, CI/CD, and releases, whether as a product manager or as an engineer, along with a strong understanding of how software moves from ideas and requirements through planning, coding, review, testing, and delivery.
Experience working with technical product areas and engineering teams, with enough technical depth to understand developer workflows and tradeoffs.
A data-forward approach to product management, including experience using data to identify customer impact and guide prioritization.
Comfort operating in ambiguous spaces where there may not yet be a clear market pattern or established product category.
Experience building or shipping with AI tools and agents, not just using them, and a point of view of your own on where AI helps and where it does not across the software development lifecycle.
Ability to think creatively about how AI changes the software development lifecycle and how product experiences should adapt.
Strong collaboration and communication skills, especially in an all-remote, asynchronous environment.
A bias toward action and the ability to help teams ship meaningful customer value quickly.
About the team
This role sits within the Product organization and will work closely with teams across Plan, Source Code Management, Code Review, and AI. We are focused on helping GitLab customers plan, build, and deliver software in a faster, more connected way.
You'll join a group that is rethinking how planning and coding should work as AI changes the speed and shape of software development. Rather than treating planning, coding, and review as separate stages, we're exploring how to bring these workflows closer together so humans and agents can collaborate more effectively.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$139,200
—
$235,200 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
УдалённоseniorRemote, Canada; Remote, US; The base salary range for this role’s listed level is currently for residents of the United States only
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 enterprise business is growing fast, and the systems that turn a closed deal into recognized revenue are scaling to keep up. Quote-to-cash spans configure-price-quote, contracting, order management, provisioning, billing, and revenue recognition, and the work to evolve it crosses engineering, GTM systems, finance, legal, and operations teams.
We're looking for a Technical Program Manager to own the planning and execution rhythm across these teams, drive the highest-priority cross-team programs end to end, and give leadership a single coherent view of priorities, dependencies, and progress.
Responsibilities
Build and run the cross-team planning and operating cadence for quote-to-cash: a shared roadmap, clear DRIs, sequenced dependencies, and a single source of truth on priorities and status for engineering and finance leadership
Drive the highest-priority cross-team programs end to end, from scoping and tradeoff decisions through delivery, across engineering, GTM systems, deal desk, order management, accounting, and legal
Own the SOX readiness program for quote-to-cash systems: gap closure, control design and evidence collection, and coordination with internal audit
Manage technical dependencies across the stack: CPQ, contract data model, provisioning automation, billing platform, and the integrations between them
You may be a good fit if you
Have 6+ years of technical program management experience, with a track record of building cross-functional programs from scratch in ambiguous environments
Have technical depth in enterprise systems integration: CPQ, ERP, billing, and provisioning platforms, the data flows between them, and the tradeoffs between configuring SaaS and building custom
Have run compliance or audit-readiness programs (SOX, SOC, or similar) and understand how control design, evidence collection, and engineering delivery fit together
Can build trust with engineers, finance and accounting partners, sales operations, legal, and executives, and translate between them
Thrive when the operating model itself is still being defined and see shaping it as part of the job
Strong candidates may also have
Background in revenue operations, order-to-cash, billing platform, or finance systems product management
Familiarity with Salesforce CPQ, contract lifecycle management, or marketplace provisioning (AWS/GCP/Azure)
Deadline to Apply:
None, applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote
Workplace: remote
At Offchain, we aren’t just building products: we’re leading a movement.
As pioneers in blockchain scalability and security, we're at the forefront of transforming how the world interacts with decentralized applications. We're laying the foundation that will define the next generation of digital commerce, governance, and human interaction. This involves tackling real-world challenges that come with scaling blockchain technology, without compromising on its core principles: decentralization, security and transparency.
At the center of this vision is our people. Our team is made up of thinkers and doers that embrace new challenges and seek solutions that push existing boundaries. If you’re energized by solving unprecedented problems, and believe in the role that decentralized systems will play in creating a more equitable digital future, then we want to hear from you.
Why Offchain?
Offchain is setting the pace for the entire Ethereum ecosystem. We built the Arbitrum stack that powers Arbitrum One, the most widely adopted Ethereum scaling solution that exists today.
Arbitrum’s ecosystem is undergoing tremendous growth with hundreds of projects and dApps on Arbitrum One today. Over 100 different teams have used Offchain technology to build their own Arbitrum chains. Major players in the space, Robinhood, BlackRock, Ethena Labs, Securitize, Aave, and Apechain are all using the Arbitrum stack.
Arbitrum’s thriving ecosystem wouldn’t exist without our advanced technology stack. Arbitrum, Prysm, ZeroDev. These aren’t just product names. These are tools that are actively reshaping what's possible on Ethereum and advancing its core infrastructure.
To top it all off? We’re backed by $124 million in funding. We’ve demonstrated consistent execution with billions in secured value, thousands of supported projects, and infrastructure processing millions of transactions seamlessly.
The Role:
The Developer Platform team builds KMS, the key-management and signing service behind ZeroDev's embedded, non-custodial wallets. These are smart-account / account-abstraction wallets that developers integrate directly into their applications. End users retain control of their keys, while KMS security orchestrates wallet creation, authentication and signing on top of a third-party signing provider.
You'll own production Go services and the cryptographic recovery and trust-model systems around them, working in a small, high-ownership team. This is security-critical infrastructure with a high review bar and external security audits. You should already be comfortable with applied-cryptography fundamentals such as public-key cryptography, signatures and key management. You don’t need to be a cryptographer or have prior experience with areas like MPC or TEEs, but you should be able to reason about cryptographic systems and their security implications.
As the platform evolves, you'll also help expand it beyond interactive consumer wallets toward programmatic and automated signing, and programmable transaction policies.
What you'll work on:
Backend services: build and operate Go services that power wallet creation, authentication, and signing at scale
Key recovery and the committee trust model: distributed key generation and secret sharing that keep the service non-custodial, with recovery authority split across independent committees so no single party holds a user's key
Trusted Execution Environments: reconstructing and operating on key material under hardware isolation and remote attestation
Authentication and signing-provider integration: the user-facing auth methods that gate signing (passkeys / WebAuthn, OAuth, OTP, sessions, 2FA), and integrating with a third-party signing provider (authorization and policy flows, scoped credentials, quorum / consensus approvals)
Security review and hardening: writing design docs and decision records, working directly with external security auditors, and turning a high review bar into shipped code
Production operations on Kubernetes: observability and alerting, secrets and certificate management, on-call, and the compliance controls the domain requires (sanctions screening, PII-safe handling)
Who you are:
Strong backend engineer who has shipped and operated production services in Go (or an adjacent systems language and is eager to go deep in Go)
Security-first by default: You naturally think about threat models, blast radius and key custody, and write code that holds up to security-critical review
Comfortable with applied-cryptography: You understand fundamentals such as public-key cryptography, signatures and key management, and can reason about how they apply to production systems.
You don't need to be a cryptographer!
Solid on distributed systems and API design: You’re comfortable reasoning about idempotency, failure modes and clean service boundaries
Operationally experienced: You’ve worked with production infrastructure and are comfortable with Kubernetes, observability and incident response
Clear written communicator: You can explain technical decisions through design docs and decision records, and work effectively in a collaborative, review-heavy environment.
Nice-to-have
You don't need to have worked with all of these. Experience in one or more would be valuable.
Trusted Execution Environments (TEE) such as AWS Nitro Enclaves, Intel SGX / TDX or similar
Threshold cryptography / MPC, including DKG, FROST or other threshold signatures, verifiable secret sharing or resharing
Account abstraction, including ERC-4337, EIP-7702, smart accounts or embedded / non-custodial wallets
Custody or signing infrastructure such as Turnkey or Fireblocks, either as an integrator or builder
HSMs, YubiKey / PIV or secure-element integrations
Third-party security audits and driving remediation through to completion
Authentication technologies such as WebAuthn / passkeys and OAuth / OIDC, or experience with the Go crypto ecosystem
Perks:
Remote-first global workforce + NY office
Professional reimbursement program (facilitates industry conference attendance, certifications, and more)
Medical, dental & vision coverage (US + some other countries)
401k retirement plan + company match (US only)
Wellness stipend
Home office set up / ergonomic equipment program
Attention Offchain Job Seekers:
This role cannot be performed in California, or Colorado.
Please be advised that there has been a rise in fraudulent recruiter activities, particularly within the Web3 space. If you would like to confirm whether someone is an Offchain employee or the legitimacy of an offer you received, please email jobs@offchainlabs.com
At Offchain, we are committed to building a welcoming and supportive workplace for all employees, regardless of their background or identity. We strive to create an environment where everyone feels valued and has an equal opportunity to succeed and thrive. We encourage candidates from all walks of life to apply and join our team.
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 is growing fast, and recruiting is one of the highest-leverage functions in the company. We’re constantly investing in systems and processes to support our rapid scale and enable our recruiters and hiring teams to be more efficient. The current technology stack is built and operated by several teams across third-party platform configuration, custom internal tooling, analytics and forecasting, core people systems, and an AI tooling layer.
We're looking for a Technical Program Manager to own the planning and execution rhythm that connects these teams, drive the technical interconnection of the systems, and give Recruiting leadership a single coherent view of priorities, dependencies, and progress.
You’ll help evolve how recruiting functions through the use of Claude, connecting that work to where the broader company is going. That includes building the bridge between recruiting and company-wide roadmap and headcount planning so we're staffing proactively rather than reacting.
This is a first-of-its-kind role at Anthropic. It sits within the centralized Technical Program Management organization and partners directly with Recruiting and People leadership. Part of the job will be to help us figure out the right long-term model for TPM support for the People org.
Responsibilities
Build and run the cross-team planning and operating cadence for recruiting technology: a shared roadmap, clear DRIs, sequenced dependencies, and a single source of truth on priorities and status for Recruiting leadership
Drive the highest-priority cross-team programs end to end, from scoping and tradeoff decisions through delivery, across teams that don't share a reporting line
Lead the technical interconnection work: integration across third-party platforms, internal custom tooling, and the data and analytics layer so information flows cleanly end to end
Partner with engineering and AI teams to bring Claude deeper into the recruiting workflow, balancing speed of adoption with the controls and human-in-the-loop design that make it trustworthy
Connect recruiting to company-wide planning: build the link to roadmaps across the business so headcount needs are visible early and recruiting can staff proactively
Own build-vs-buy and vendor evaluations where they cross team boundaries, including the security, contract, and integration tradeoffs that come with them
Establish the program infrastructure: governance, status reporting, risk tracking, and the escalation paths that let leadership make tradeoffs quickly
Help define the durable model for TPM support in the People organization, including scope, headcount, and reporting structure
You may be a good fit if you
Have 6+ years of technical program management experience, with a track record of building cross-functional programs from scratch in ambiguous environments
Have driven planning and execution across teams that don't share a reporting line, and are comfortable influencing without authority
Have technical depth in systems integration: APIs, data flows between SaaS platforms, and the tradeoffs between configuring third-party tools and building custom
Have worked with or close to recruiting, people, or HR technology and understand how an ATS, HRIS, scheduling, and analytics stack fit together
Can build trust with engineers, recruiters, analysts, and executives, and translate between them
Are genuinely excited about using AI to change how a core business function works, and curious about what recruiting looks like when frontier AI is in the loop on every step
Thrive when the role itself is still being defined and see shaping it as part of the job
Strong candidates may also have
Background in recruiting operations, people analytics, or HR tech product management
Experience integrating AI or LLM-based tooling into operational workflows
Familiarity with headcount planning, workforce planning, or connecting business roadmaps to hiring plans
Experience teaching partner teams how to work with technical program management when the function is new to them
Deadline to Apply:
None, applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We're looking for experienced engineers to build and scale the database infrastructure that powers Claude's products and Anthropic's research. As a Software Engineer on the Databases team, you'll architect and operate the systems that let millions of users interact with Claude while also supporting frontier AI research workloads.
You'll help set the database strategy for Anthropic: designing systems that handle billions of API requests, building storage that runs cleanly across GCP, AWS, and a range of deployment models, and creating the reliable data layer that lets research move fast.
The Databases team spans three areas: the core database platform (data plane and control plane), data movement (migrations, backfill, and change data capture), and caching. We're hiring across all three.
Key Responsibilities
Drive the technical direction for database solutions used across Product and Research
Design and implement database solutions that scale to support millions of users across Claude's product ecosystem
Build and scale database systems through 100x+ growth while maintaining reliability and performance
Build the database platform that lets Anthropic engineers ship without thinking about databases or scaling.
Architect data storage solutions that operate across GCP, AWS, first-party deployments, third-party deployments, and other environments
Develop database infrastructure that serves both product and research workloads with different performance characteristics
Build data movement infrastructure (migration tooling, backfill, and change data capture pipelines) that safely consolidates and moves data across the organization
Design and operate caching infrastructure, including CDC-driven cache invalidation, that keeps Anthropic's hottest paths fast and correct
Partner with product and research teams to understand data requirements and build infrastructure that accelerates their work
Optimize database performance, reliability, and cost efficiency at scale
Make build-vs-buy decisions for database technologies
Minimum Qualifications
Significant experience as a software engineer building and operating production database or storage systems
Deep knowledge of distributed database architectures and OLTP systems at scale
Proficiency with SQL and at least one major relational or distributed database engine (e.g., PostgreSQL, MySQL, Spanner, CockroachDB, DynamoDB)
Track record of leading large, complex infrastructure projects as an engineer or tech lead
Ability to balance moving quickly with the reliability needs of production systems
Strong technical leadership and cross-functional collaboration skills
Preferred Qualifications
10+ years building and scaling database systems, with 3+ years leading large-scale projects or teams
Experience scaling databases through periods of rapid growth at high-growth companies
Experience operating Spanner, CockroachDB, TiDB, AlloyDB, or other globally distributed SQL databases in production
Experience with Redis, Temporal, vector databases, or async job processing frameworks
Experience with change data capture (Debezium or similar), large-scale data migration, or streaming data infrastructure
Experience building multi-cloud or hybrid cloud database solutions
Knowledge of database orchestration and automation at scale
Contributions to database internals, storage engines, or related open source projects
Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure and database expertise from any domain.
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:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We're looking for experienced engineers to build Anthropic's cache layer as a managed service from the ground up. The Caching team is part of the Databases organization and owns the systems that keep Anthropic's hottest paths fast and correct: a managed Redis fleet, client libraries used across the company, and CDC-driven cache invalidation that solves one of distributed systems' hardest problems the right way.
This is a foundational role on a small team with outsized leverage. Every millisecond you take off a hot path is multiplied across every Claude request. You'll set the technical direction for caching at Anthropic, from the data plane to the developer experience, and you'll work closely with product and research teams to make caching something engineers get for free rather than something they have to think about.
Key responsibilities
Drive the technical direction for caching infrastructure used across Product and Research
Design, build, and operate a managed Redis fleet that scales to support millions of users across Claude's product ecosystem
Build client libraries and developer-facing abstractions that make correct caching the default for Anthropic engineers
Design and operate CDC-driven cache invalidation that keeps cached data consistent with source-of-truth databases
Architect caching solutions that operate across GCP, AWS, first-party deployments, and other environments
Optimize latency, hit rates, reliability, and cost efficiency on Anthropic's hottest paths
Build observability and tooling that makes cache behavior easy to understand and debug
Partner with product and research teams to understand access patterns and build infrastructure that accelerates their work
Make build-vs-buy decisions for caching technologies
Minimum qualifications
Significant experience as a software engineer building and operating production distributed systems
Deep knowledge of caching architectures, including invalidation strategies, consistency tradeoffs, and failure modes
Experience operating Redis, Memcached, or similar in-memory data stores in production
Proficiency in at least one systems programming language (e.g., Go, Rust, Java, C++) or Python at scale
Track record of leading large, complex infrastructure projects as an engineer or tech lead
Ability to balance moving quickly with the reliability needs of production systems
Strong technical leadership and cross-functional collaboration skills
Preferred qualifications
10+ years building and scaling distributed infrastructure, with 3+ years leading large-scale projects or teams
Experience building managed infrastructure platforms or internal services consumed by many engineering teams
Experience with change data capture (Debezium or similar) or streaming data infrastructure
Experience operating Redis Cluster, Valkey, ElastiCache, Memorystore, or similar managed offerings at scale
Experience designing client libraries or SDKs for internal infrastructure
Experience scaling infrastructure through periods of rapid growth at high-growth companies
Experience with multi-cloud or hybrid cloud deployments
Contributions to caching systems, database internals, or related open source projects
Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure expertise from any domain.
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
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS, GCP, and Azure). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.
Responsibilities:
Strategic Technical Partnership
: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.
Joint Solution Development:
Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment
Customer Deal Support:
Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
Partner Ecosystem & Events:
Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.
You may be a good fit if you have:
5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager
Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
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:
$275,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Ukraine; Moldova; Latvia; Slovakia; Czech Republic; Slovenia; Romania; Turkey; Kazakhstan; Brazil; Poland; Hungary; Montenegro; Estonia; European Union; Cyprus; Lithuania; Serbia; Georgia
Workplace: Remote
ABOUT US
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
ABOUT THE ROLE
We are seeking a Billing Data Analyst to join our Billing and Data team. You will play a key role in analyzing financial performance, billing behavior, risk trends, and support operations. Your work will help drive better decision-making, reduce financial risks, and improve billing efficiency across all products. This role combines analytical rigor, statistical thinking, and cross-functional collaboration.
KEY RESPONSIBILITIES
- Monitor, analyze, and report on key billing and support performance indicators and emerging trends.
- Build and maintain data pipelines to ensure accurate, timely, and reliable data delivery.
- Apply statistical methods to project scenarios, assess “what-if” outcomes, and anticipate financial risks.
- Run A/B tests and experiments to evaluate billing and support strategies.
- Collaborate with cross-functional teams (Billing, Support, Finance, Product, Marketing) to align processes with risk-mitigation goals.
- Analyze the impact of marketing and product changes on billing outcomes, risk behavior, and customer support metrics.
- Provide actionable recommendations to improve billing performance and reduce disputes, churn, and operational inefficiencies.
- Document analyses, workflows, and data logic to ensure clarity and consistency.
QUALIFICATIONS
- Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
- Experience as a Data Analyst, ideally within fintech, subscription products, billing, or customer support.
- Strong SQL skills.
- Experience with popular BI tools such as Tableau, Looker, or similar
- Experience with Python or R
- Solid understanding of statistical analysis, forecasting, and scenario modeling.
- Experience running A/B tests and interpreting experiment results.
- Excellent problem-solving skills, attention to detail, and ability to work in a fast-paced environment.
- Strong communication skills, with the ability to explain findings to both technical and non-technical stakeholders.
- Curiosity, ownership mindset, and the discipline to maintain high-quality data work.
NICE TO HAVE
- Experience with BigQuery, ClickHouse, or any cloud data warehouse.
- Basic Python knowledge for data cleaning or simple analysis.
- Exposure to subscription businesses or payment systems.
- Understanding of disputes, chargebacks, declines, or fraud signals.
- Familiarity with DBT or data quality frameworks.
LOCATION
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.
BENEFITS
Discover the perks of being part of our vibrant team! We offer:
- Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
- Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
- Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
- Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
- Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!
INTERVIEW PROCESS
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
- Recruiter Screening (40 minutes)
- Technical Interview (60 minutes)
- Final Interview (30 minutes)
LIFE AT RUBY LABS
At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.
This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.
#LI-Remote
Location: Ukraine; Moldova; Latvia; Slovakia; Czech Republic; Slovenia; Romania; Kazakhstan; Poland; Hungary; Montenegro; Estonia; European Union; Cyprus; Lithuania; Greece
Workplace: Remote
ABOUT US
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
ABOUT THE ROLE
We’re looking for a Lead Billing Data Analyst (Billing, Payments & Subscription Analytics) to own the data strategy behind our subscription billing operations. This is a hands-on leadership role: you’ll build analyses and pipelines that improve billing performance, while also managing and mentoring a team of analysts.
KEY RESPONSIBILITIES
ANALYTICS & TECHNICAL WORK
- Monitor, analyze, and report on billing and support performance metrics (payments, renewals, refunds, disputes/chargebacks), and surface emerging trends.
- Build and maintain data pipelines that deliver accurate, timely, and reliable billing data.
- Apply statistical methods to model scenarios, run “what-if” analyses, and anticipate financial risk.
- Design and run A/B tests and experiments to evaluate billing and support initiatives.
- Analyze the impact of product, marketing, and pricing changes on billing outcomes, risk behavior, and customer support metrics.
- Build and maintain dashboards and visual reporting that provide clear, real-time visibility into billing health and support performance.
- Turn insights into recommendations that reduce disputes, churn, and operational inefficiencies.
- Document analyses, workflows, definitions, and data logic to ensure clarity, reproducibility, and consistency.
LEADERSHIP & COLLABORATION
- Lead, mentor, and grow a team of data analysts: set expectations, coach on methodology, and ensure high-quality output.
- Own the team’s intake and prioritization process; manage task flow and delivery timelines against business needs.
- Uplevel the team’s billing domain knowledge and analytical/technical skills.
- Partner cross-functionally with Billing, Support, Finance, Product, and Marketing to align metrics, definitions, and processes with risk-mitigation goals.
QUALIFICATIONS
- Deep subscription billing expertise: substantial experience with payments, renewals, refunds, disputes/chargebacks/TC40 in a recurring-revenue business (non-negotiable).
- Advanced SQL: complex joins, window functions, incremental logic, and performance-aware query writing.
- Data visualization: proficiency with Omni, Tableau, Power BI, or similar tools to build dashboards and communicate insights clearly.
- People leadership: experience setting priorities, distributing work, reviewing output, and being accountable for a team’s results.
- Statistical & analytical rigor: forecasting, experiment design, and translating ambiguous business questions into structured analysis.
- Billing platforms / processors: familiarity with tools such as Stripe, Braintree, Nuvei, or similar.
- Strong communication: ability to explain complex findings to both technical and non-technical stakeholders.
- Cross-functional collaboration: track record of influencing decisions with data across multiple departments.
NICE TO HAVE
- Python and/or modern analytics tooling (dbt, Airflow, or similar).
- Experience building and maintaining ETL/ELT pipelines for billing or financial data.
- Risk analysis or fraud-adjacent experience in billing contexts.
- Advanced visualization techniques (cohorts, funnels, anomaly detection dashboards).
LOCATION
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.
BENEFITS
Discover the perks of being part of our vibrant team! We offer:
- Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
- Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
- Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
- Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
- Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1tzxGX4Uu7Ts_HCLFXESKLnKaaBfVCPf1f9AYZPrkjJM/preview?tab=t.0 https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!
INTERVIEW PROCESS
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
- Recruiter Screening (40 minutes)
- Technical Interview (90 minutes)
- Final Interview (60 minutes)
LIFE AT RUBY LABS
At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.
This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.
#LI-Remote
Location: Hybrid - San Francisco
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
The CDN Content team is responsible for serving all content that flows through Vercel's global CDN — static assets, optimized images, incrementally regenerated pages, partially prerendered shells, and everything in between — to billions of requests for millions of developers. Our focus is performance: ensuring content is served globally as fast as possible. Caching plays a big role in making that happen, and the team operates a multi-tier caching architecture spanning in-process caches, regional cache services, and object storage across 20+ regions.
As a Software Engineer on the team, you'll take on well-scoped projects with real production impact and grow into owning larger pieces of the system. The work spans the serving path end to end, and everything ships through careful, progressive rollouts validated with production data. You'll learn how a planet-scale CDN works from engineers who built it.
This is a team where infrastructure meets product: we work in close partnership with frameworks such as Next.js, bringing framework-defined infrastructure to life on Vercel's CDN, and the serving and caching behavior we ship directly shapes the performance and cost that millions of developers see. You'll develop strong instincts for distributed systems, careful production rollouts, and data-driven engineering.
If you're based within a pre-determined commuting distance of one of our offices (SF or NY), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.
What you'll do
Build and improve the services behind ISR, PPR, and image optimization — working in Go, Lua, and TypeScript across the serving path.
Execute well-defined projects independently, from implementation through safe rollout (feature flags, shadow modes, progressive deployment) and post-ship validation.
Monitor and maintain your work in production: build dashboards, add metrics and alerts, and develop ownership of what you ship.
Contribute to the team's observability and testing surface — the dashboards, log views, and e2e test suites that keep a high-change system trustworthy.
Participate in the on-call rotation with support from senior engineers, and contribute to incident follow-ups that make the system more resilient.
Collaborate with teammates and partner teams (Next.js, CI/CD) through design discussions, code review, and pairing.
What you need
2+ years of experience building and operating backend services in production.
Proficiency in at least one of Go, TypeScript/Node.js, or a comparable systems language, and enthusiasm for working across a polyglot stack.
Solid understanding of HTTP and web fundamentals — caching headers, request/response lifecycle, what a proxy does.
You write code you're willing to operate: tested, instrumented, and documented.
Curious about how large-scale systems work, and motivated to dig into unfamiliar code and production data to figure things out.
A collaborative teammate who communicates clearly, asks good questions, and follows through reliably.
Bonus if you
Have experience with caching systems (CDNs, Redis/Memcached, application-level caches) at any scale.
Have AWS experience, particularly S3 or ElastiCache.
Have used Next.js or another modern web framework and understand rendering modes like SSR/SSG/ISR.
Have experience with observability tooling (Datadog, Honeycomb, or similar).
Have experience with Terraform or Kubernetes.
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $172,000 - $258,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Singapore
Workplace: remote
Help Us Build The Future of Travel
At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world.
Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy.
We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone.
Your Next Destination
Location: Remote.
Contract: Full-time, permanent.
Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74
Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async.
As the Director of Partnerships for APAC, you will lead Airalo’s partnership efforts across our four key Partnerships streams - Strategic Partnerships, Channel Sales and Corporate Sales for APAC
What You'll Do:
Work closely with the VP of Partnerships and other team members in the department
Build, lead, and groom a team of Partnerships Managers, further supported by in-country teams for Channel Sales, and Corporate Sales for key countries within APAC
Be a core member of the Partnerships Leadership Team that shapes Airalo’s global Partnerships strategy
Shape the future of Airalo’s Partnerships products by working closely with the Partner Experience Product and Engineering teams
Find, identify, prospect, and lead negotiations with large strategic partners within APAC
Maintain relationships with key partners to drive partner profitability and grow the B2B/B2B2C partnerships' contribution to the business
Refine the Airalo Partnerships roadmap to anticipate and fulfill partner needs, thereby maintaining Airalo’s status as the preferred provider across industry partners in APAC
Collaborate and work with different internal and external stakeholders to develop and execute joint projects/opportunities
Define and improve SOPs for the Partnerships department to streamline operations and improve efficiency across workflows
Represent Airalo at leading industry events and conferences across APAC
Own the Airalo Partnerships OKRs for APAC
What You'll Bring:
10+ years of experience in partnerships, sales, account management, or business development in a high-growth B2B and/or B2B2C environment
5+ years of prior experience building and managing high-performance teams
Experience in Traveltech / Consumer tech industries will be an advantage
Partner-first mentality and a genuine passion for helping your stakeholders succeed while creating win-win relationships
Ability to develop Airalo’s unique story and the problem we solve for our users, making it a compelling partnership proposition
Ability to employ, and teach your team, various sales techniques, including effective questioning, objection handling, consultative selling, and solution selling
Ability to develop thought leadership skills and build trust with key stakeholders - internally and externally
Ability to multi-task in a complex & matrix environment
Experience with sales and partnerships tools
Fluent verbal and written communication skills in Korean is nice to have.
If you are interested in this position, please apply to the ad.
Why People Join Us
We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first.
Our team spans 60+ countries, united by a shared belief that great work happens when people are trusted to own what they do. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one.
As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact - from anywhere in the world.
Before You Hit Apply
By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy
We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process.
Location: București, Romania
Workplace: none
EveryMatrix
is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to
300 customers worldwide.
But that's not all! We're not just about numbers,
we're about people
. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork.
Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time.
We are looking for a dedicated Senior FullStack Developer to join our team in Bucharest!
What You'll get to do:
Own the design, development, and delivery of complex features and automation solutions across the stack.
Define, enforce, and continuously improve internal coding standards, operational processes, and best practices.
Refactor, optimize, and extend existing codebases and automation scripts with a focus on maintainability, performance, and scalability.
Lead code reviews, set quality expectations, and mentor junior and mid-level colleagues.
Ensure comprehensive testing and documentation across owned areas.
Take ownership of incident management, CI/CD pipelines, and operational support, including root cause analysis and prevention.
Drive technical decisions and contribute actively to architectural discussions and long-term technical direction.
Break down complex initiatives into deliverable tasks, provide reliable estimates, and communicate progress and risks to stakeholders.
Handle high-complexity incidents end to end and act as an escalation point for the team.
Share knowledge proactively and contribute to the team's overall technical growth.
What we’re looking for:
5+ years of professional experience in fullstack development.
Expert-level knowledge of JavaScript, HTML, and CSS.
Strong hands-on experience with Node.js, REST API design, and automation.
Deep understanding of OOP principles, design patterns, data structures, and system design fundamentals.
Proficiency with Git, Linux environments, and CI/CD pipelines.
Proven track record of improving code quality, test coverage, and development processes.
Strong communication skills, including mentoring, giving structured feedback, and cross-team collaboration.
Ability to work fully autonomously, take ownership, and drive initiatives in a fast-paced environment.
Advanced English (writing and speaking).
Here's what we offer:
Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us.
Benefit from two Free Fridays each year, limited to one per quarter.
3 sick leave days per year, no doctor's note required.
Daily catered lunch or monthly lunch allowance.
Private Medical Subscription.
Access online learning platforms like Udemy for Business and a budget for external training.
Access to an Employee Assistance Program through TELUS Health.
Our office perks include parking, on-site massages, and frequent team-building activities in various locations. And did we mention our amazing office space complete with its own pool and gym?
At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!
EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.
Location: Yamoussoukro, Côte d'Ivoire; Dakar, Senegal
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
Tether and its affiliated entities (e.g. Bitfinex) are searching for an organized self-starter to join our Regulatory and Licensing team, to lead efforts in the Francophone Africa Region. The successful candidate is someone with an understanding of the regulatory environment pertaining to the crypto-asset industry / stablecoin industry in the CEMAC & UEMOA/WAEMU, and who is excited by the opportunity to apply their existing legal and / or regulatory experience in an exciting and dynamic business environment.
To succeed in this role, the incumbent will continuously strive to self-develop and enhance their skill sets including understanding the Company’s products and services, blockchain technology, and regulatory requirements.
You will have a focus around working with regulators to translate policy objectives of the companies into favourable regulatory requirements in the applicable countries, as part of enabling the broader business strategy. From time to time, this may also include working on obtaining regulatory authorisations / approvals.
The successful candidate should be comfortable managing relationships and communications between various stakeholders both internal and external to the business, including regulators and policy setters, as well as working with cross-functional teams such as Operations, Finance, Technology, Business Development.
You will report to the Head of Regulatory and Licensing Affairs-Africa, and work alongside project managers and members of the wider business to execute on regulatory and licensing initiatives.
Responsibilities
Regulatory Affairs
Monitor regulatory developments impacting Tether and affiliates companies in Francophone Africa Region.
Maintain active relationships with policymakers, regulators, central banks, and financial intelligence units.
Represent the company in consultations, workshops, industry roundtables, and regulatory dialogues.
Prepare briefing papers, comment letters, and policy submissions aligned with broader global regulatory strategy.
Identify opportunities to shape emerging frameworks in a risk-sensitive, innovation-oriented manner.
Licensing & Authorisations
Conduct structured assessments on whether licensing/registration is required for operations in the country.
Lead or support licensing applications end-to-end, where needed, including preparation of supplementary documentation, legal opinion coordination, regulator communications, and post-submission follow-up.
Strategy & Cross-Functional Collaboration
Provide actionable risk and regulatory insights to internal stakeholders (legal, product, compliance, risk, commercial).
Support enterprise-level planning for new products or expansions into the countries, advising on regulatory constraints and enablers.
Help coordinate responses to supervisory reviews, information requests, and regulatory audits.
Contribute to internal reporting and executive briefings on policy risks and regulatory trajectory within the region.
Minimum of 5 years governmental affairs and regulatory affairs experience, ideally within the financial services or crypto-asset industry in Africa.
Experience engaging with regulators or government bodies advocating and advising in a regulatory capacity, with demonstrated achievements securing favourable policy positions on behalf of another organisation.
Excellent written and verbal communication skills, with the ability to synthesise complex regulatory topics for non-technical audiences.
Proven ability to manage multiple stakeholders across borders and time zones.
Communication: Fluent in English and French. Exceptional communication skills, both written and verbal, with experience in public speaking and representing companies in regulatory discussions.
Must be a strong team player, and willing to be fully engaged with key stakeholders both in our company but also with our partners. Must be a hands-on professional capable of working collaboratively and independently.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
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 researchers generate and depend on enormous amounts of data — training runs, evaluations, RL transcripts, annotations etc... The Research Data Platform team builds the systems that make that data easy to produce, find, query, and trust. We work in two modes: we build
platform components that other systems plug into
(for example, a metrics library that training frameworks integrate to record and retrieve run data), and we
own core datasets end to end
(for example, the data pipeline behind RL transcripts).
As the team's tech lead, your job starts with our users. You'll work directly with researchers — and with the engineers who support them — to understand how they actually work, where managing data slows them down, and where a well-built platform component or a well-curated dataset would change what's possible. You'll turn what you learn into technical direction for the team, in partnership with the team's manager, who owns priorities and people. A central ambition you'll drive: a small set of canonical, well-documented datasets — starting with the core data model for RL — that researchers trust and standardize on, rather than every team managing its own copies.
You'll spend your first few months close to the code and close to users: shipping improvements in our core systems, embedding with research teams, and building your own map of their workflows. As the team grows, this role has a natural path into formal people leadership for someone who wants it.
Responsibilities
Work directly with researchers and the engineers supporting them to understand their workflows, identify the highest-leverage opportunities, and shape what the team builds next
Set the technical direction for the team across our platform and our datasets
Design and build platform components that other teams plug into — libraries, services, and interfaces such as the metrics library used by training frameworks
Own core datasets end to end: the pipelines that produce them, the schemas that define them, and the documentation and guarantees that make researchers trust them
Drive convergence toward canonical datasets — including the core data model for RL transcripts — that research teams standardize on
Lead complex, multi-quarter projects that span several systems and teams, staying hands-on in the code
Raise the team's technical bar through design reviews, mentorship, and the quality of your own work
You may be a good fit if you:
Have built and operated data-intensive systems at scale — pipelines, storage layers, query systems — with strong instincts for data modeling and schema design that hold up as usage grows
Have set technical direction for a team, or owned the architecture of a data platform that other teams build on
Treat internal users as customers: you do the discovery work, iterate with users, and measure success by adoption rather than by shipping
Understand that researchers aren’t typical internal customers — the work is exploratory by nature, workflows differ from team to team, and requirements are discovered through experiments rather than specified up front
Can build for that motion — keeping interfaces stable and data trustworthy while use cases change underneath you, and judging when a quick, disposable solution serves research better than a durable one
Lead through influence — aligning engineers and stakeholders without relying on formal authority
Are results-oriented and pragmatic, willing to do unglamorous work when it's the highest-leverage thing
Are excited about learning the fundamentals of machine learning research (deep ML expertise is not required)
Care about the societal impacts of your work
Strong candidates may also have
Experience with large-scale ETL and columnar or analytical storage (e.g., Spark, BigQuery, ClickHouse, DuckDB, Parquet)
Experience with metrics or experiment-tracking systems, or high-volume time-series data
Experience with dataset management, cataloging, or lineage tooling
Built developer tooling or internal data platforms for demanding technical users — including in domains like quantitative trading, where fast-moving, exploratory data work looks a lot like research
A working knowledge of machine learning
Worked in, or closely with, an ML research lab
Interest in — or experience with — people management and growing engineers
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
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Hong Kong; Dubai, United Arab Emirates; Singapore
About Hex Trust
Hex Trust is a fully-licensed and regulated financial institution for digital assets. We hold licenses in Dubai (VARA) and Singapore (MAS), are registered in Hong Kong (TCSP), and operate 24/7 from offices in Hong Kong, Singapore, Dubai, and Vietnam.
We are an integrated provider of custody, trading, financing, staking, and tokenization services. Our custody platform, Hex Safe, is one of the strongest in the market and serves 600+ institutional clients globally: investors and allocators (VCs, funds, family offices), Web3 companies (foundations, protocols, token issuers), and service providers (wealth managers, OTC desks, brokers, PSPs, corporates, banks). It stands out as the only platform offering regulated cold wallets with transaction signing under 1 second, compared to an industry average of around 2 hours.
As a pioneer in digital asset infrastructure, we are now expanding our ecosystem by strategically entering the payments’ business space. This expansion marks a pivotal milestone in our growth, aimed at bridging traditional finance with the digital economy through compliant, scalable and instant payment infrastructure.
Position Summary
We offer an attractive, formula-based, uncapped bonus structure tied directly to originated revenue, paid quarterly.
We are looking for a VP / Director Senior Sales for Cross-border Payments Solutions with a strong network across the payments and PSP ecosystem in APAC and the GCC. The ideal candidate has sold payment infrastructure into institutional clients, understands how PSPs and fintechs make integration decisions, and can speak credibly about stablecoins, on/off-ramps, settlement, and APIs.
As a Senior Payments specialist, you will help spearhead Hex Trust's strategic expansion, transforming our core enterprise capabilities into cutting-edge merchant solutions and global digital payment networks.
This role carries two mandates:
Scale our existing Convert-to-Pay business
by originating and closing PSP, acquirer, and fintech clients across APAC and the GCC — driving payment volume, recurring revenue, and stickiness from day one.
Secure a flagship design partner
to co-develop the next generation of programmable stablecoin payment infrastructure — a strategic, build-the-future mandate at the frontier of where payments and digital assets are heading.
This is a pure origination role with high autonomy and direct impact on revenue. You will own the commercial cycle end-to-end: prospecting, structuring, closing, integration coordination, and ongoing client coverage. The platform is proven, the licenses are real, and we have the right to win.
Duties & Responsibilities
Own the full commercial cycle for Convert-to-Pay: prospecting, qualification, structuring, closing, integration coordination, and ongoing client coverage across APAC and the GCC.
Identify and win new PSP, acquirer, fintech, and payment-infrastructure clients to grow stablecoin payment volume, recurring revenue, and assets in flow — this is a hunting role.
Translate Hex Trust's regulated, API-first stablecoin payment capabilities into commercial wins with senior payments and treasury stakeholders.
Identify, qualify, and secure a flagship design partner to co-develop the next generation of programmable stablecoin payment infrastructure — shaping requirements, structuring a co-build relationship, and turning early collaboration into a long-term commercial anchor. This is a core responsibility and a key deliverable for the role.
Work closely with product, client operations, compliance, and legal to deliver smooth onboarding and integration.
Feed product, marketing, and leadership with market intelligence and client signals that shape the roadmap and our go-to-market.
Requirements
7–10 years of institutional or B2B sales / business development experience, with meaningful time in payments.
Proven track record of selling payment infrastructure — ideally cross-border, on/off-ramps, acquiring, or stablecoin/digital-asset payment rails — into PSPs, fintechs, or financial institutions.
An existing, active network in the PSP and payments ecosystem across APAC and/or the GCC. This is critical; we are not building your network from scratch.
Strong working knowledge of stablecoins, settlement, treasury workflows, and payment APIs — you do not need to be an engineer, but you must speak credibly on these topics to technical and commercial audiences alike.
Demonstrated ability to run the full sales cycle independently — prospecting through close — in a lean, fast-moving environment, including consultative, product-minded selling and co-creating solutions with early or strategic partners.
Strong communication and interpersonal skills, with the ability to explain complex products clearly to senior stakeholders.
Fluent English is required. Mandarin (for HK/Singapore) or Arabic (for GCC) is a strong plus.
Highly organized and self-driven, comfortable in fast-paced, high-stakes environments.
Candidates who do not tick all the boxes are still encouraged to apply, those with less experience will still be considered for the position but with an adjustment to the level of seniority.
Benefits
As one of the leading Web3 innovators,
Hex Trust
offers a front-row seat in the ever-changing blockchain & crypto industry. We genuinely believe that people are our greatest asset, and invest heavily so they’re best prepared to support our mission to unlock ownership in decentralized markets! You will be joining a company that is always committed to creating a supportive & inclusive environment that promotes personal and professional growth that furthers your success and drives innovation, collaboration, and passion in the blockchain space.
At Hex Trust, we are proud of our
H.E.X.
culture:
Heart
Empowerment
Xcellence
Join us at Hex Trust and not only can you look forward to working with blockchain professionals to build the decentralized future, but also:
Competitive base salary plus uncapped, quarterly-paid commission
Generous Amounts of Paid Time Off (incl. leave for Birthdays, Work Anniversary, and Mental Health etc.)
Access to Corporate Discounts and exclusive Employer Perks
Medical & Retirement Plans
Professional Learning and Development Opportunities
Modern tools and technology to do your best work
Claude Enterprise access for all employees, with connectivity to all our internal tools and access to Claude Chat, Cowork, and Code
Fun & friendly office spaces in Hong Kong, Singapore, Dubai and Vietnam
Regular company & social events
Hex Trust is an equal-opportunity employer devoted to diversity and inclusion in the workplace. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.
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 Research Productivity organization builds the infrastructure and systems that accelerate research across Anthropic, including the tools that help our research process get faster and more effective over time. We're looking for an experienced software engineer to join us as we scale this infrastructure at a moment when both demand and scope are growing extremely quickly.
This team operates like a startup within a startup. You'll be a strong fit if you like thinking from first principles, iterating fast on infrastructure, and tackling reliability and scalability challenges head-on as the products built on top of your systems evolve underneath you.
You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make the architectural decisions that shape how the infrastructure behind our research tooling gets built. You'll partner directly with research teams to understand their workflows, anticipate how their requirements will change, and design and scale infrastructure that can keep pace.
Responsibilities
Design, build, and scale infrastructure and systems that support rapidly increasing usage, where requirements and workload continue to evolve as the products built on top of them evolve
Independently scope and lead complex, multi-month engineering projects, from an ambiguous starting point through to a production system
Drive cross-organizational alignment on technical direction, working through ambiguous problem spaces with multiple stakeholders and teams
Make architectural decisions that shape the foundation of research infrastructure and tooling across Anthropic
Partner directly with researchers to deeply understand their workflows, then anticipate and design for how those needs will change
Iterate quickly, favoring pragmatic, first-principles solutions and fast feedback loops over heavy upfront design
Take ownership of the reliability and scalability of critical systems as load, usage, and complexity increase
Help set technical standards and best practices for the team, and mentor other engineers
Minimum Qualifications
Experience designing, building, and operating large-scale distributed systems or infrastructure in production
A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects
Strong software engineering fundamentals and hands-on coding ability
Experience making architectural decisions that other engineers and teams build on top of
Strong written and verbal communication skills, with experience driving alignment across multiple teams or stakeholders
Demonstrated ability to operate effectively in ambiguous, fast-changing environments
Strong candidates may also have
Experience building infrastructure or platforms specifically for research or machine learning workflows
Direct experience navigating the reliability and architectural challenges that come with rapidly scaling systems
Experience with distributed systems, cloud infrastructure, and infrastructure-as-code
Familiarity with the compute, tooling, and workflow needs of large-scale machine learning research
Experience operating in a startup or startup-like environment, i.e. a small, fast-moving team with high autonomy
Prior experience as a technical lead or mentor for other engineers
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
—
$625,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Barcelona, Spain; Budapest, Hungary; Düsseldorf, Germany; Frankfurt, Germany; Krakow, Poland; Krosno, Poland; Liège, Belgium; Lille, France; Vilnius, Lithuania; Ljubljana, Slovenia; Lublin, Poland; Lyon, France; Madrid, Spain; Città Vittoriosa, Malta; Podgorica, Montenegro; Poland; Sarajevo, Bosnia and Herzegovina; Banská Bystrica, Slovakia; Sofia, Bulgaria; Stuttgart, Germany; Tenerife, Spain; Wien, Austria; Warsaw, Poland; Zagreb, Croatia; Zürich, Switzerland; Petten, Netherlands; Aachen, Germany; Athens, Greece; Augsburg, Germany; Bad Homburg, Germany; Baden-Baden, Germany; Berlin, Germany; Bolzano, Italy; Bordeaux, France; Bratislava, Slovakia; Bromolla, Sweden; Brussels, Belgium; Bucuresti, Romania; Bucharest, Romania; Buenos Aires, Argentina; Dusseldorf, Germany; Hamburg, Germany; Hannover, Germany; Luxembourg; Amsterdam, Netherlands; Pondicherry, India; Ahmedabad, India; Berat, Albania; Delhi, India; Dnipro, Ukraine; Helsinki, Finland; Bangalore, India
Workplace: remote
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior Formal Verification (FV) Engineer to join one of our clients' teams.
Reporting directly to the Vector Unit Verification Lead, this is a highly technical Individual Contributor (IC) role. In this position, you will be the dedicated formal expert for the VU team, responsible for designing scalable formal testbenches, writing mathematical properties, and ensuring the absolute algorithmic and architectural integrity of our vector pipeline. You will work side-by-side with VU microarchitects to hunt down deep corner-case bugs and achieve formal sign-off on high-complexity arithmetic and execution blocks.
Key Responsibilities
Block-Level Execution & Convergence Engineering (90%)
End-to-End Testbench Ownership:
Design, deploy, and maintain robust formal verification environments for complex Vector Unit sub-blocks (e.g., Vector Execution Pipelines, Vector Register File/Rename interfaces, and Vector Floating-Point Units).
Datapath & Arithmetic Verification:
Implement advanced word-level modeling, bit-blasting, and algebraic rewriting strategies to verify complex IEEE-754 floating-point and integer vector arithmetic units.
Proof Convergence Management:
Independently diagnose and resolve proof-convergence failures, over-constraints, and state-space explosions using advanced reduction techniques (e.g., case-splitting, black-boxing, and abstraction modeling).
RISC-V Vector Compliance:
Develop formal environments to mathematically prove that the VU pipeline strictly complies with the RISC-V Vector (V) Extension specification.
Simulation Partnership:
Collaborate closely with VU simulation engineers to define a razor-sharp boundary between simulation and formal verification, ensuring maximum bug-hunting efficiency and zero coverage gaps.
Embedded Mentorship & Best Practices (10%)
Formal-Friendly Design:
Partner with VU microarchitects during early-stage RTL development to drive formal-friendly coding styles and structural design patterns.
SVA Propagation:
Review and refine SystemVerilog Assertions (SVA) written by design and simulation peers, establishing best practices for block-level assertions within the VU team.
Education:
B.S./M.S. in Computer Engineering, Electrical Engineering, or Computer Science with practical industry execution; or a Ph.D. with a research focus on formal methods or computer arithmetic.
Experience:
5+ years of production-grade hardware verification experience (or Ph.D. + 1–3 years) with a strong, proven track record of applying formal verification to CPU, GPU, or DSP execution pipelines.
Collaboration Style:
A self-driven engineer who enjoys deep mathematical puzzles, collaborates seamlessly within a localized block-level team, and can translate complex proof counter-examples into actionable bugs for designers.
Datapath Validation Focus:
Strong specialization in arithmetic formal verification, algebraic rewriting, and word-level modeling. Familiarity with control-path formal techniques (liveness, safety properties) is highly welcome.
Vector Microarchitecture:
Good working knowledge of high-width execution pipelines, vector execution units, or floating-point/integer arithmetic hardware. Experience with Out-of-Order execution mechanics is a plus.
Formal Tools:
Proficient command of commercial EDA formal tools (e.g., Cadence JasperGold/DPV, Synopsys VC Formal, Siemens OneSpin) and their specialized mathematical/datapath apps.
Languages:
Native fluency in SystemVerilog and SystemVerilog Assertions (SVA). Scripting proficiency (Python, Tcl, or Bash) for testbench automation.
Nice to Have
RISC-V Core Verification.
RISC-V Ecosystem:
Familiarity with the RISC-V Architecture, specifically the Vector (V) and Floating-Point (F/D) extension ecosystems.
Emulation platforms (Veloce, ZeBu).
Core/Bus interface protocols (e.g., AXI/CHI).
San Francisco, CA | New York City, NY
Удалённоsenior401k retirement plan + company match (US only); We encourage candidates from all walks of life to apply and join our team
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San Francisco, CA | New York City, NY | Seattle, WA
San Francisco, CA | New York City, NY | Seattle, WA
San Francisco, CA | New York City, NY | Seattle, WA
УдалённоUkraine; Moldova; Latvia; Slovakia; Czech Republic; Slovenia; Romania; Turkey; Kazakhstan; Brazil; Poland; Hungary; Montenegro; Estonia; European Union; Cyprus; Lithuania; Serbia; Georgia; Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET
УдалённоleadUkraine; Moldova; Latvia; Slovakia; Czech Republic; Slovenia; Romania; Kazakhstan; Poland; Hungary; Montenegro; Estonia; European Union; Cyprus; Lithuania; Greece; Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET
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seniorUnited States - Remote
San Francisco, CA | New York City, NY
УдалённоseniorBarcelona, Spain; Budapest, Hungary; Düsseldorf, Germany; Frankfurt, Germany; Krakow, Poland; Krosno, Poland; Liège, Belgium; Lille, France; Vilnius, Lithuania; Ljubljana, Slovenia; Lublin, Poland; Lyon, France; Madrid, Spain; Città Vittoriosa, Malta; Podgorica, Montenegro; Poland; Sarajevo, Bosnia and Herzegovina; Banská Bystrica, Slovakia; Sofia, Bulgaria; Stuttgart, Germany; Tenerife, Spain; Wien, Austria; Warsaw, Poland; Zagreb, Croatia; Zürich, Switzerland; Petten, Netherlands; Aachen, Germany; Athens, Greece; Augsburg, Germany; Bad Homburg, Germany; Baden-Baden, Germany; Berlin, Germany; Bolzano, Italy; Bordeaux, France; Bratislava, Slovakia; Bromolla, Sweden; Brussels, Belgium; Bucuresti, Romania; Bucharest, Romania; Buenos Aires, Argentina; Dusseldorf, Germany; Hamburg, Germany; Hannover, Germany; Luxembourg; Amsterdam, Netherlands; Pondicherry, India; Ahmedabad, India; Berat, Albania; Delhi, India; Dnipro, Ukraine; Helsinki, Finland; Bangalore, India