Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Applied AI Architect on the Startups team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude.
Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems.
Responsibilities:
Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion
Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases
Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions
Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams
Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building
You may be a good fit if you have:
3+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales
Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies
Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams
Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation
Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures
Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams
Track record of selling technical products in competitive markets
Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns
Passion for making powerful technology safe and societally beneficial
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:
$240,000
—
$315,000 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: Paris, France
Workplace: Hybrid
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
⭐️ SENIOR BRAND DESIGNER AT ALAN
Our Brand at Alan is precious to us, and is evolving as we grow!
As part of the Design team, the Brand designer plays a large role in cementing our brand, creates visually compelling assets to support our messaging, and uses their experience to grow a strong brand design practice.
Your missions will include:
- Define and evolve Alan's visual identity and brand systems, and make sure they hold up across every touchpoint.
- Own briefs end-to-end: understand the business problem, help shape the strategy, then explore, prioritize, and ship the solution.
- Create and art-direct campaigns and assets across the web, including our landing pages, email, advertising, and social channels, bringing the brand to life through art direction, motion, and video.
- Partner closely with Product, Marketing, and Brand to translate business objectives into visuals that convert.
- Extend brand design work into our Health & Prevention area, alongside our core Marketing & Brand responsibilities.
- Scale production to deliver high volumes of assets without losing quality or brand consistency.
- Leadership & mentoring:
- You lead through influence by shaping roadmaps, aligning stakeholders around well-reasoned proposals and trade-offs, and proactively communicating progress and plans.
- You raise the bar for others by coaching and mentoring designers and non-designers, and helping Alaners grow through thoughtful feedback and technical or creative leadership.
OUR CURRENT DESIGN PRIORITIES 🌟
Our Design community red thread is to grow our brand design practice and ensure consistency in order to build an established and memorable brand.
To succeed in this mission, we currently:
- Consolidating and scaling our visual identity across every touchpoint: web, email, ads, social, and increasingly our own landing pages, where brand expression and conversion design meet.
- Growing our motion and video capability: it's a big plus for this role, not a nice-to-have.
- Creating impactful physical and event experiences that bring the brand to life beyond screens.
- You are at the cutting edge of AI-enabled design and creative workflows, actively experimenting with emerging models and tools and turning them into practical ways to improve the quality, speed, and impact of your work.
- Extending brand identity into our Health & Prevention area, alongside our core Marketing & Brand responsibilities.
- Shaping how Alan's mascot and visual universe show up, used deliberately, not everywhere.
IF YOU HAVE SOME OF THE FOLLOWING, YOU MAY BE A GREAT FIT 👯♀️
- 4+ years' experience, ideally in a product company or startup, we're hiring at a Senior level.
- You are fluent in English.
- You are an experienced user of design software (Adobe Creative Suite, Figma) and motion design tools (After Effects, Premiere is a plus).
- Comfortable with generative AI tools, and keen to experiment with new approaches as you push creative boundaries within brand guidelines.
- A deep understanding of growth, campaigns, and conversion-focused design, with a strong sense of how visuals drive business outcomes.
- Able to scale and deliver high volumes of assets while keeping quality and brand consistency intact.
- Understands business objectives and audiences, and can turn a brief into impactful visuals autonomously.
- Experienced designing for online platforms: websites, social media, email marketing, and display ads.
- You excel at communicating and articulating creative choices in a compelling way.
- You're structured, and understand that goals and constraints need to be clarified before executing.
- A portfolio showing real product/company work (not just agency spec work), illustration capability, and range across formats.
- Based in (or open to relocating to) Paris (preferred), or Marseille, Bordeaux, Madrid, Brussels, or Barcelona.
Nice to have:
- You are familiar with concepts like target audience, branding, user experience (UX), and conversion optimization.
- You possess great 3D skills
For this opportunity, we are aiming to hire within the D+ level range https://alan.com/en/careers/a/salary-equity.
🙌 PERKS & BENEFITS https://alan.com/en/careers/a/salary-equity
At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
Therefore, we offer:
- Fair rewards. Generous equity packages complement your base salary.
- Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest.
- All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and noise-canceling headphones.
- Flexible vacation policy and flexible working hours. Organize your time as you wish.
- Delightful healthcare insurance. Extremely comprehensive health insurance - 100% of the contribution covered by Alan for you and your family.
- Transport. Country-specific commuter benefits.
- Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises.
- Parental leave. Extended parental leave for all new parents.
IMPORTANT NOTE: WE HIRE PEOPLE NOT ROLES.
After reading this job description, if you feel like you don’t have all the necessary prerequisites but that it matches where you are now or what you'd like to grow into in your next position, we encourage you to apply!
Not everybody will enter our recruitment process, but all, no matter how underrepresented, should feel free to apply as it can only bring learnings or success.
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
Location: Tokyo, Japan
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is expanding its reseller program in Japan and Korea. As our Reseller Operations Manager for Japan and Korea, you'll own how resellers in both countries get onboarded, transact, get paid, and get supported, across both of our resale motions: hyperscaler resale, where partners resell Claude through the cloud marketplaces (AWS Bedrock today, Google Cloud Vertex AI and Microsoft Foundry to follow), and direct resale, where partners resell on Anthropic paper through our own quote-to-order and billing systems. The global team builds the program; you make it work for Japanese and Korean partners and feed back what has to change.
This is an operator role, not a partner manager role. In the first months you'll be validating deal registrations and answering partner tickets yourself; by the end of the first year the volume should be running on documented process, service levels, and vendor or system coverage that you set up.
Key responsibilities
Own reseller onboarding for Japan and Korea end to end: application intake, screening coordination, agreement execution, marketplace authorization, entitlement setup, and activation, and keep the partner record in Salesforce decision-grade for both regions.
Run hyperscaler (3P) reseller operations: deal-registration intake and validation within SLA, marketplace authorizations and private-offer processing with the cloud alliance teams, and end-customer reporting on every reseller transaction so partner-sourced revenue can be attributed.
Run direct (1P) reseller operations: partner quotes and order forms, order booking and provisioning, and commit tracking and true-ups with Deal Desk, RevOps, and Accounting, and work with Finance and Tax on local invoicing, currency, and consumption-tax handling for each transaction route.
Run the regional side of reseller incentives: eligibility, validation of quarterly payouts, and partner disputes, in partnership with the global incentive operations team and Finance.
Stand up first-line operational support for resellers in Japanese and Korean during local business hours, inside the global partner support queue rather than alongside it, and localize the onboarding, deal-registration, and ordering content partners depend on.
Manage any outsourced or contracted operations capacity used in region (scope, quality, service levels) and coordinate with Enablement on the logistics of local-language certification and training.
Own reseller reporting for Japan and Korea: registration volume and cycle time, activation, attach, and attributed revenue by partner and by motion, and use it to tell the regional teams and the global program what to fix next.
Adopt the global Partner Operations playbooks where they fit, write the in-region variants where they don't, and represent Japan and Korea requirements in partner systems and automation work so manual volume doesn't grow with partner count.
Minimum qualifications
Several years in channel, reseller, distribution, or partner operations at a technology company, ideally touching both a cloud-marketplace motion and a direct or contract-based resale motion.
Working proficiency in Japanese, Korean, and English. You'll run operational relationships with partners in both countries and work daily with a US-based team; proficiency doesn't need to be identical across all three, but you need to be able to work with partners in both regions.
Practical knowledge of how at least one major cloud marketplace's reseller program works (authorizations, private offers, deal registration), or deep experience in one motion and a track record of picking up the other quickly.
Hands-on experience with quote-to-order, order management, or partner billing, and the Finance, Deal Desk, and Legal coordination that comes with it.
A track record of taking a manual process and turning it into documented workflow, service levels, and reporting, including managing vendors or contractors who execute part of it.
Hands-on Salesforce experience (reporting, data maintenance), and comfort being the only operations person in the region while working with a team many time zones away.
Preferred qualifications
Experience inside the Japanese or Korean enterprise reseller and systems-integrator ecosystem, including local invoicing, credit, and consumption-tax conventions.
Experience with partner incentive or rebate operations, or with a partner program during its launch phase.
Experience with PRM or deal-registration tooling, or building automations with Claude or similar tools to run operational workflows at volume.
How this role works with the team
You'll report into Partner Experience and work day to day with two groups. The global Partner Operations team in San Francisco owns the reseller program's systems, and playbooks; our reseller operations owner there is your direct counterpart, and you'll split work along a simple line: they own the global process, you own its execution and adaptation in Japan and Korea. The Japan and Korea go-to-market teams own the partner relationships and the commercial conversations; you're the operational layer underneath them, and the person they come to when something about a partner's onboarding, order, or payout needs to move. You'll also be the regional voice into Finance, Deal Desk, RevOps, and the cloud alliance teams on anything that has to work differently in these markets.
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 an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
You will focus on a short list of strategic accounts within our Enterprise Technology business. For each one you will co-own the account plan with the account executive, build executive technical champions, and drive a multi-quarter adoption roadmap. You will have breadth and depth, reproducing customer environments and problems, building working solutions with them, and develop deep relationships with our engineering and product teams, all in service of each account's strategic roadmap
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Work with your customers on their overall AI adoption strategies, including use case scoping, architecture reviews, technical champion building, adoption workshops, and use case execution
Support customers building with both the Claude API and Claude for Enterprise
Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Reproduce customer environments and problems in your own builds. Use them to prove the path to production
Build deep relationships with Anthropic engineering and product teams. Carry customer needs into the product roadmap and bring product direction back to your accounts
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
8+ years of experience in roles such as Field CTO, Solutions Architect, Sales Engineer, or Product Manager, with hands-on building experience
Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
Experience owning named or strategic enterprise accounts through long, multi-stakeholder buying cycles
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Comfortable with python
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
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
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:
$240,000
—
$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: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Platform Security Engineering (PSE) sits within Data Center Security Engineering (DCSE). As Anthropic expands beyond traditional cloud providers into owned facilities, colocation, and partner sites, we take on the security responsibilities that cloud providers used to abstract away: firmware integrity, boot chain verification, platform trust, and host hardening. PSE exists so that Anthropic can deploy training and inference workloads to any qualified environment with a demonstrable security posture, including the technical controls behind our AI Safety Level commitments.
We are hiring an engineering manager to lead a group of platform security engineers covering firmware research, OS and kernel hardening, platform trust integration, and server manageability firmware. You will own the roadmap for this group, grow the team, and be accountable for the security posture of the compute platforms Anthropic runs on: hardware roots of trust, secure and measured boot, attestation, firmware supply chain, and the integrity of the hosts that hold model weights on bare-metal infrastructure.
This is a hands-on management role. You will not write most of the code, but you will review designs, make the final call on hard trade-offs, and be able to reason with your engineers from a silicon root of trust through firmware, bootloader, kernel, and host software. You will partner with infrastructure, fleet, and compute teams inside Anthropic, and with silicon vendors, OEMs, and compute providers outside it.
You will report to the Data Center Security Engineering manager.
Key responsibilities
Lead and grow the platform security engineering group: hiring, onboarding, development, performance, and prioritization for full-time engineers, and coordination of contractor and vendor engineers working alongside them
Own the platform security roadmap and its delivery: hardware root of trust and attestation, secure and measured boot across CPU, BMC, accelerator, and peripheral firmware, OS and kernel hardening, and the host-side pipeline that turns attestation evidence into production gates
Own the firmware supply chain posture for the fleet: SBOM and reference integrity manifests, authenticated update, rollback protection, and the vendor relationships needed to get fixes shipped
Drive platform risk assessments for new compute platforms and providers, and make evidence-based go/no-go recommendations with bounded risk rather than perfect-or-nothing gates
Partner with infrastructure, fleet, compute, and detection and response teams so that platform controls land in production without degrading training or inference performance
Manage relationships with silicon vendors, OEMs, and compute providers: security requirements, vulnerability management, disclosure and remediation timelines, and upstream and standards-body engagement (TCG, OCP, IETF)
Run the team's operating rhythm: design reviews, threat models, incident participation for platform-layer issues, and clear written status to security and infrastructure leadership
Minimum qualifications
Have 10+ years in systems security, with at least 5 years focused on firmware, hardware, or OS-level security
Have 5+ years as a people manager of security or systems engineers, including hiring and developing senior and staff-level engineers
Can go from architecture to implementation detail with your engineers: secure boot, measured boot, TPM and other roots of trust, attestation protocols (SPDM, DICE, remote attestation), UEFI and BMC firmware, and Linux kernel and OS hardening
Have owned a technical roadmap end to end, including the prioritization calls when security, performance, and delivery timelines conflict
Have worked directly with silicon vendors, OEMs, or cloud and bare-metal providers on security requirements and remediation, and can push a partner to a fix without burning the relationship
Write clearly: design reviews, risk assessments, and status for executives are part of the job
Are comfortable building a team and its processes from an early stage, with a scope that is broader than the headcount
Preferred qualifications
Experience managing a mixed team of full-time engineers, contractors, and vendor engineers while keeping design authority in-house
Hands-on background in OpenBMC or other server management firmware, DRTM or secure launch, or confidential computing primitives (TDX, SEV-SNP, ARM CCA)
A record of upstream contributions or maintainership in Linux, OpenBMC, or a comparable community, or standing in TCG, UEFI Forum, or OCP
Experience securing large-scale HPC or AI training infrastructure
Firmware vulnerability research, reverse engineering, or fuzzing background
Experience running coordinated vulnerability disclosure with hardware or firmware vendors
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:
$485,000
—
$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: San Francisco; New York City
Workplace: Hybrid
Perplexity is revolutionizing search. We are seeking a Writer to join our team and work closely with Growth, Enterprise, Support, and Product. You will lead our content strategy, development, and copywriting. We want to create a brand that — if you want to build the foundation of content from 0 to 1, have a passion for AI, and love writing, this role is for you.
Responsibilities
- Create exceptional and captivating content across Consumer and Enterprise use cases, including email copy, social media posts, in-product copy, support pages, FAQs, video scripts, case studies, white papers, outbound emails, onboarding guides, and blog posts
- Develop a unique voice and tone for written content at Perplexity that drives word-of-mouth growth and builds an engaged following
- Identify content opportunities and novel ways to engage with our user base by leveraging user generated content in Perplexity and testimonials across social media
- Synthesize complex AI-related topics and feature releases into understandable and digestible copy for a non-technical audience
- Manage content calendars for external communication across email, newsletter, and social media
- Track content performance via Google Analytics and internal data; analyze and optimize engagement metrics of your content
- Work closely with our Design and Brand teams to adhere to current guidelines
Qualifications
- 4+ years of content writing and strategy experience, ideally at a consumer technology brand
- World-class writing, editing, and proofreading skills with a unique voice and tone
- Extreme attention to detail paired without sacrificing fast-paced execution
- 0-to-1 development of B2B content marketing, newsletters, blogs, and company content
- Experience with international brands and multiple languages
Location: San Francisco; New York City
Workplace: Hybrid
Perplexity is revolutionizing search. We are seeking a Writer to join our team and work closely with Growth, Enterprise, Support, and Product. You will lead our content strategy, development, and copywriting. We want to create a brand that — if you want to build the foundation of content from 0 to 1, have a passion for AI, and love writing, this role is for you.
Responsibilities
- Create exceptional and captivating content across Consumer and Enterprise use cases, including email copy, social media posts, in-product copy, support pages, FAQs, video scripts, case studies, white papers, outbound emails, onboarding guides, and blog posts
- Develop a unique voice and tone for written content at Perplexity that drives word-of-mouth growth and builds an engaged following
- Identify content opportunities and novel ways to engage with our user base by leveraging user generated content in Perplexity and testimonials across social media
- Synthesize complex AI-related topics and feature releases into understandable and digestible copy for a non-technical audience
- Manage content calendars for external communication across email, newsletter, and social media
- Track content performance via Google Analytics and internal data; analyze and optimize engagement metrics of your content
- Work closely with our Design and Brand teams to adhere to current guidelines
Qualifications
- 4+ years of content writing and strategy experience, ideally at a consumer technology brand
- World-class writing, editing, and proofreading skills with a unique voice and tone
- Extreme attention to detail paired without sacrificing fast-paced execution
- 0-to-1 development of B2B content marketing, newsletters, blogs, and company content
- Experience with international brands and multiple languages
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 RL Data Platform team builds the systems that produce, move, and serve the human data Claude learns from: the interfaces humans use to give feedback, the pipelines that turn raw feedback into training signal, and the tooling researchers use to launch, monitor, and inspect data collection. Every RL run depends on a steady supply of high-quality data - human feedback, expert demonstrations, graded transcripts - and when a researcher has an idea for new data on Monday, our job is to make it collectable by Wednesday and in the training mix by Friday.
This is a full-stack, ownership-heavy role on a small, senior team. You'll design and ship web interfaces used by thousands of expert annotators, build the backend services and data pipelines behind them, and work directly with RL researchers to understand what data they need and why. You'll scope your own projects, make architectural calls, and see them through to production. We're looking for engineers who treat researchers as their users, build for reliability first, and care as much about the shape of the data leaving the system as the UI going into it.
Key responsibilities
Design, build, and operate the feedback and data collection interfaces used by human annotators, domain experts, and internal researchers.
Build and maintain the backend services, APIs, and pipelines that route model samples to humans and return structured feedback to training.
Own the reliability, latency, and usability of systems that run continuously against live model endpoints.
Partner with RL researchers to translate loosely specified data needs into well-scoped collection campaigns and the tooling to run them.
Build dashboards, monitoring, and inspection tools so researchers can see data quality and throughput without asking an engineer.
Identify and remove the bottlenecks between "we want this data" and "it's in the training mix".
Minimum qualifications
Strong full-stack engineering skills, with production experience in TypeScript/React on the frontend and Python on the backend.
Experience designing and operating backend services and data pipelines that other teams depend on.
A track record of owning projects end-to-end, from an ambiguous brief to something in production that people use.
Comfort working directly with technical stakeholders whose needs change week to week, and the judgment to push back when something isn't worth building.
Effective use of AI tools in your own day-to-day work.
Care about the societal impacts of your work.
Preferred qualifications
Experience building annotation, labelling, evaluation, or other human-in-the-loop data tooling.
Experience with RLHF, preference data, or other human-feedback pipelines for ML systems.
Experience shipping researcher-facing or other expert-facing internal tools people love: interviewing users, hunting down friction, measurably improving the experience.
Experience running experiments on data collection interfaces and using the results to improve data quality.
Experience working with crowdworker or expert vendor platforms at scale.
Familiarity with how LLMs are trained and evaluated.
Representative projects
Build an interface that lets a domain expert review a long agentic transcript, flag the step where things went wrong, and write a corrected continuation - with the result landing in a training-ready format.
Rework the sampling path between our feedback interfaces and model endpoints to cut time-to-first-sample for annotators.
Build a campaign launcher that lets a researcher stand up a new data collection effort (task, rubric, population, quality checks) without writing code.
Instrument annotator behaviour to detect low-effort or adversarial work and surface it to the quality team automatically.
Design the data model for a kind of feedback we haven't collected before, and ship the pipeline that gets it into the training mix.
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:
$500,000
—
$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: 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 are seeking an experienced Corporate Counsel, M&A to join our corporate legal team. As Anthropic continues to scale, we need an M&A attorney who can drive strategic transactions, including acquisitions, acquihires, minority investments, joint ventures, and other structured deals, from initial diligence through execution and post-closing integration, and help us build the playbooks and processes to do it repeatably.
You will work closely with our Legal, Corporate Development, Finance, Accounting, and executive teams to execute transactions that support Anthropic's mission and growth objectives.
Key responsibilities
Lead legal workstreams on M&A transactions — acquisitions, acquihires, minority investments, joint ventures, and other strategic transactions — from due diligence through closing and post-closing integration
Draft, review, and negotiate transaction documents including letters of intent, purchase agreements, ancillary agreements, and related closing documentation
Manage and coordinate due diligence, including oversight of cross-functional workstreams and third-party advisors
Provide practical counsel on deal structuring, risk allocation, purchase price mechanics, indemnification, and other key transaction terms
Prepare materials for executive leadership (and, as needed, the Board) on transaction matters
Manage outside counsel relationships on transactions, including staffing, budgets, and work-product quality
Represent Legal on post-closing integration, working cross-functionally to ensure smooth transitions
Develop and maintain standardized processes, playbooks, and template documents that drive efficiency and best practices across M&A transactions
Support other corporate matters as needed
Minimum qualifications
Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based
Experience drafting and negotiating M&A transaction documents, including letters of intent, purchase agreements, and ancillary closing documentation
A deep understanding of transaction structures, including stock purchases, asset purchases, mergers, acquihires, minority investments, and joint ventures
Experience with both domestic and cross-border transactions
Experience advising technology companies and startups on the unique legal issues they present
Preferred qualifications
At least 5-8 years of M&A legal experience at a nationally recognized law firm and/or in-house at a high-growth technology company
Experience with public company securities law compliance and SEC reporting
Experience with equity compensation matters in the deal context
Experience with AI, machine learning, or other emerging technology companies
Experience building M&A playbooks, templates, or processes on a lean team
Exceptional analytical, drafting, negotiation, and communication skills, with the ability to translate complex legal issues into clear, practical advice
Ability to thrive in a fast-paced, dynamic environment and manage multiple transactions and priorities simultaneously
An independent self-starter who can drive projects forward with minimal supervision, and collaborate effectively with internal and external stakeholders at all levels
Role-specific policy:
For this role, we expect all staff to be able to work from our San Francisco, New York, or Seattle office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.
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:
$265,000
—
$335,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's billing surface is growing fast. New products, new regions, and new channels all need to be metered, priced, invoiced, and reconciled, and the work to make that happen crosses billing engineering, GTM systems, finance, and support teams. Today much of it runs on escalations rather than programs.
We're hiring a Technical Program Manager to own the cross-functional programs in this space. You'll partner closely with billing engineering, GTM systems, finance and treasury, product, and support, and give leadership a single clear view of priorities, dependencies, and progress.
Responsibilities
Drive the cross-team programs that build billing platform foundations, from scoping and tradeoff decisions through delivery
Standardize how new commercial work enters billing: a framework driven intake, clear owners, and sequenced dependencies across billing teams and their stakeholders
Own the promotions program end to end: one repeatable path from proposal to configuration to reconciliation, for both self-serve and sales-led programs
Own commercialization and launch readiness for billing: no new product or SKU launches without pricing, metering, invoicing, and reporting in place
Own the change process for the charge pipeline
Run payments operations programs in partnership with finance and treasury, including currency and FX
You may be a good fit if you
Have 6+ years of technical program management experience, with a track record of owning cross-functional programs end to end
Can reason about metering, invoicing, and payment flows, and the data pipelines behind them
Have run launch readiness programs where a new product needed its commercial and billing path in place before it shipped
Can build trust with engineers, finance and treasury partners, GTM systems, product, and support teams, and translate between them
Are comfortable driving outcomes across teams that don't report to you
Would rather build a repeatable process than keep fixing the same problem by hand
Strong candidates may also have
Experience with promotions or credit programs or enterprise billing platforms
Familiarity with FX, treasury, month end close, or reconciliation
Background in payments operations, billing platform, or quote-to-cash product management
Familiarity with chargeback and refund operations
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
Anthropic is seeking a partnerships leader to own the tri-party motion for systems integrator partnerships selling through AWS. Global systems integrators and specialist SIs are how Claude reaches enterprise customers at scale, and AWS is the surface most of that work runs on. You will own the intersection of those two ecosystems.
In this role, you will build the go-to-market motion that turns partner interest into joint pipeline and closed revenue, working across AWS's partner organization and the AWS practices inside the world's largest integrators. You will define how Claude is positioned inside AWS partner programs, design the commercial mechanics that let partners transact and get rewarded, and build the joint plays that partners take to their customers.
This is a build role. The partner ecosystem is early, the programs are still being designed, and you will be operating across three organizations whose incentives on any given deal don’t always line up. You will help shape how frontier AI technology reaches the enterprise through the services ecosystem.
You will report directly to the Head of AWS GTM Partnerships.
Key Responsibilities
Develop and execute the GTM strategy for our systems integrator partnerships through AWS, including co-selling motions, joint business plans, events and segment-specific plays
Own forecasting, pipeline development, and revenue targets for partner-sourced and partner-influenced business
Design the commercial mechanics that make the partner motion work, including deal registration, marketplace program structure, and incentives
Build and maintain executive-level relationships across AWS's partner organization and across partner AWS practice leadership
Work with partners to develop repeatable, industry-specific solutions built on Claude, and help them build the delivery capability to take those solutions to market
Partner cross-functionally with Anthropic's alliances, sales, partner marketing, and regional cloud teams to keep the motion consistent globally while regions execute locally
Create and implement scalable processes for partnership operations, including escalation management, business reviews, and reporting
Provide strategic market intelligence and competitive insights on the partner ecosystem to inform product and commercial strategy
Identify where to concentrate investment across the partner portfolio and make the case to stop investing where returns are not there
Minimum qualifications
12+ years of enterprise partnerships, alliances, or business development experience, with meaningful time spent on partner ecosystems
Proven track record of building and scaling partnerships with systems integrators, consultancies, or channel partners
Experience building a co-sell or channel motion from the ground up, including the commercial mechanics behind it
Deep understanding of how cloud and partner field organizations operate, and the incentives that drive seller and partner behavior
Track record of carrying and hitting a partner-sourced or partner-influenced revenue number, with credible forecasting behind it
Strong executive presence and demonstrated ability to influence senior stakeholders where you have no formal authority
Excellence in strategic planning, business operations, and program management
Ability to balance strategic thinking with tactical execution, and a willingness to concentrate effort rather than spread thin
Experience working with technical products and translating complex capabilities into business value
Ability to travel up to 25% of the time
Preferred qualifications
Previous experience working with AWS or another hyperscaler partner organization
Working knowledge of systems integrator operating models, including practice structures, delivery economics, and how services revenue drives partner decisions
Background in AI/ML technologies or with developer-focused platforms and their partner ecosystems
Experience scaling partner programs at a company moving from early traction to significant partner-driven revenue
Management consulting experience earlier in your career
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:
$365,000
—
$425,000 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: Milan, Italy
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with both the Claude API and Claude for Work
Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Native or C1 Italian speaker with fluent English proficiency
Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Comfortable with python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
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
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Singapore
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About 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 are seeking a detail-oriented and skilled Director of Payroll to join our growing Finance team in Singapore. In this role, you will be responsible for managing all aspects of international payroll processing, ensuring accuracy, compliance, and timely delivery of payroll services to our employees across multiple countries. This role will report to our Head of International Accounting with a dotted line to the Head of Global Payroll.
Responsibilities:
Execute full-cycle payroll processing for APAC international entities including India, Japan, South Korea, Australia, Singapore, and many more as we expand.
Support expansion of payroll operations to new countries including Singapore, New Zealand, and others
Support Corporate Accounting with month-end payroll related accounting tasks and questions
Ensure compliance with local tax regulations and employment laws across all jurisdictions
Manage relationships with third-party payroll providers
Respond to employee inquiries regarding international payroll matters in a timely and professional manner
Partner closely with the equity team to process stock options
Resolve international tax notices from various tax authorities
Collaborate with People, Tax, Global Mobility, Finance, and other departments to resolve payroll discrepancies and implement process improvements
Assist in preparing international payroll reports and analytics for management review
Support payroll systems integration projects and process automation initiatives
Process end-to-end payroll using Workday and Global Payroll Platform (PwC)
You may be a good fit if you
Hold a bachelor's degree in Accounting, Finance, or related field
Have 10+ years of experience in payroll operations, with at least 5 years in international payroll
Are proficient in payroll processing for various compensation types (regular, off-cycle, severance, taxable benefits, and equity)
Have strong knowledge of international payroll regulations and compliance requirements
Are experienced with payroll journal entries, account reconciliations, and month-end close procedures
Have experience working with Workday HRIS and global payroll providers such as PwC GPP platform (preferred)
Possess excellent attention to detail, ability to multitask and maintain accuracy under tight deadlines
Have strong analytical and problem-solving skills
Are proficient in Microsoft Excel and Google Sheets
Strong candidates may also:
Have experience supporting rapid international expansion
Possess knowledge of European employment law and tax regulations
Have experience with payroll systems implementations
Be familiar with Workday or other major HRIS platforms
Hold a bachelor's degree in Accounting, Finance, or related field
Have 5-6+ years of experience in payroll operations, with at least 3 years in international payroll
Are proficient in payroll processing for various compensation types (regular, off-cycle, severance, taxable benefits, and equity)
Have strong knowledge of international payroll regulations and compliance requirements
Are experienced with payroll journal entries, account reconciliations, and month-end close procedures
Have experience working with Workday HRIS and global payroll providers
Possess excellent attention to detail, ability to multitask and maintain accuracy under tight deadlines
Have strong analytical and problem-solving skills
Are proficient in Microsoft Excel and Google Sheets
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, Hong Kong SAR
OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
The Core Trading Risk Product team builds the core trading infrastructure and platform-level risk capabilities that support OKX’s spot and derivatives businesses across multiple account and margin modes.
We are looking for a Senior Product Manager to lead the delivery of trading risk workflow automation, agentic parameter governance, agent-driven execution, and foundational price-protection capabilities. Your scope will also include margin-tier rules, collateral haircuts, price limits, index price, and mark price across spot, derivatives, and Perp DEX scenarios.
You will work closely with Risk Management, Quantitative Research, Engineering, Data, Trading Operations, Legal, Compliance, and regional market teams to translate risk-control methodologies into configurable, verifiable, and observable platform capabilities. Success in this role means continuously improving liquidity, users’ capital efficiency, and the trading experience while safeguarding platform resilience and market integrity.
What You’ll Be Doing
Drive product planning and roadmap execution.
Own product discovery and delivery across risk parameter governance, AI-agent workflow automation, controlled execution, and price protection. Translate risk-control needs and operating SOPs into product requirements, priorities, 3-12-month delivery plans, and success metrics; partner with engineering, risk, quant, data, and operations teams to launch, measure adoption, and iterate.
R
esearch and iterate on risk-control methodologies.
Research, formulate, and continuously improve risk-control methodologies, including pricing logic, risk-scoring models, and approaches for handling market volatility.
B
uild platform-level risk controls.
Build and optimize platform-level risk-control mechanisms to ensure stability under extreme market conditions.
D
rive effective implementation of risk systems.
Collaborate with engineers, quants, data analysts, and other stakeholders to ensure risk systems are effectively implemented and continuously monitored.
Drive continuous improvement.
Continuously improve the product through feedback loops and retrospective analysis of past market incidents or system performance.
Stay close to markets and users.
Maintain regular communication with traders, institutional clients, and market-making teams. Continuously study crypto and traditional financial market structures, competitor mechanisms, and regulatory changes; determine when to lead and when to fast-follow; and adjust product priorities accordingly.
Strengthen team methodologies and AI leverage.
Codify risk product methodologies, decision records, parameter dictionaries, and incident case libraries, and mentor other product managers. Design automation and AI-native workflows to improve efficiency in analysis, configuration review, monitoring and troubleshooting, documentation, and product operations..
What We Look For In You
Five or more years of product management experience in trading-related domains. Be familiar with trading system principles, understanding users' trading, and be able to identify risky scenarios.
An AI-native approach to work, with the ability to design multi-step automation or agentic workflows incorporating tool use, retrieval, evaluation, and human-review checkpoints, together with an understanding of the access-control and audit boundaries required in risk-control contexts.
Strong systems thinking and technical judgment, with the ability to work closely with engineering and quantitative teams on real-time, highly available, data-intensive systems and the related configuration, monitoring, resilience, and audit requirements.
Experience in data-driven product decision-making and risk change management, with the ability to define effective metrics and drive continuous improvement through simulation, backtesting, stress testing, production monitoring, and incident reviews.
Mature cross-functional leadership and project execution capabilities.
Rigorous logical thinking, clear written and verbal communication, and fluency in both Chinese and English, with the ability to collaborate effectively with clients and cross-functional teams across global and Chinese-language working environments.
A bachelor’s degree or higher, preferably in a quantitative or technical field such as Computer Science, Finance, Engineering, or Mathematics.
Nice-To-Haves
A deep understanding of the trading and risk mechanisms for spot, margin, perpetuals, expiry futures, or options, with familiarity with core concepts including the order lifecycle, margin, leverage, liquidation, position tiers, index price, mark price, and price limits.
Experience working at a digital asset exchange, securities or futures exchange, brokerage, clearing platform, market-making firm, quantitative trading firm, or another high-throughput trading environment.
Experience scaling automation, AI agents, or human-in-the-loop workflows in safety-critical environments.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
The Core Trading Risk Product team builds the core trading infrastructure and platform-level risk capabilities that support OKX’s spot and derivatives businesses across multiple account and margin modes.
We are looking for a Senior Product Manager to lead the delivery of trading risk workflow automation, agentic parameter governance, agent-driven execution, and foundational price-protection capabilities. Your scope will also include margin-tier rules, collateral haircuts, price limits, index price, and mark price across spot, derivatives, and Perp DEX scenarios.
You will work closely with Risk Management, Quantitative Research, Engineering, Data, Trading Operations, Legal, Compliance, and regional market teams to translate risk-control methodologies into configurable, verifiable, and observable platform capabilities. Success in this role means continuously improving liquidity, users’ capital efficiency, and the trading experience while safeguarding platform resilience and market integrity.
What You’ll Be Doing
Drive product planning and roadmap execution.
Own product discovery and delivery across risk parameter governance, AI-agent workflow automation, controlled execution, and price protection. Translate risk-control needs and operating SOPs into product requirements, priorities, 3-12-month delivery plans, and success metrics; partner with engineering, risk, quant, data, and operations teams to launch, measure adoption, and iterate.
R
esearch and iterate on risk-control methodologies.
Research, formulate, and continuously improve risk-control methodologies, including pricing logic, risk-scoring models, and approaches for handling market volatility.
B
uild platform-level risk controls.
Build and optimize platform-level risk-control mechanisms to ensure stability under extreme market conditions.
D
rive effective implementation of risk systems.
Collaborate with engineers, quants, data analysts, and other stakeholders to ensure risk systems are effectively implemented and continuously monitored.
Drive continuous improvement.
Continuously improve the product through feedback loops and retrospective analysis of past market incidents or system performance.
Stay close to markets and users.
Maintain regular communication with traders, institutional clients, and market-making teams. Continuously study crypto and traditional financial market structures, competitor mechanisms, and regulatory changes; determine when to lead and when to fast-follow; and adjust product priorities accordingly.
Strengthen team methodologies and AI leverage.
Codify risk product methodologies, decision records, parameter dictionaries, and incident case libraries, and mentor other product managers. Design automation and AI-native workflows to improve efficiency in analysis, configuration review, monitoring and troubleshooting, documentation, and product operations..
What We Look For In You
Five or more years of product management experience in trading-related domains. Be familiar with trading system principles, understanding users' trading, and be able to identify risky scenarios.
An AI-native approach to work, with the ability to design multi-step automation or agentic workflows incorporating tool use, retrieval, evaluation, and human-review checkpoints, together with an understanding of the access-control and audit boundaries required in risk-control contexts.
Strong systems thinking and technical judgment, with the ability to work closely with engineering and quantitative teams on real-time, highly available, data-intensive systems and the related configuration, monitoring, resilience, and audit requirements.
Experience in data-driven product decision-making and risk change management, with the ability to define effective metrics and drive continuous improvement through simulation, backtesting, stress testing, production monitoring, and incident reviews.
Mature cross-functional leadership and project execution capabilities.
Rigorous logical thinking, clear written and verbal communication, and fluency in both Chinese and English, with the ability to collaborate effectively with clients and cross-functional teams across global and Chinese-language working environments.
A bachelor’s degree or higher, preferably in a quantitative or technical field such as Computer Science, Finance, Engineering, or Mathematics.
Nice-To-Haves
A deep understanding of the trading and risk mechanisms for spot, margin, perpetuals, expiry futures, or options, with familiarity with core concepts including the order lifecycle, margin, leverage, liquidation, position tiers, index price, mark price, and price limits.
Experience working at a digital asset exchange, securities or futures exchange, brokerage, clearing platform, market-making firm, quantitative trading firm, or another high-throughput trading environment.
Experience scaling automation, AI agents, or human-in-the-loop workflows in safety-critical environments.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Staff Software Engineer on the GTM AI Engineering (Claudification) team, you will build the agents and AI systems that run Anthropic's own go-to-market work. Our sellers already work alongside agents every day. You will take things to the next step and build agents that run complete autonomous motions across areas like inbound, outbound, and pipeline management. In addition, you’ll build eval frameworks that prove those agents are ready for customer-facing work and are driving value. This is a senior role where you’ll drive technical direction for agents and evals across our team.
Working closely with sellers, RevOps, and our platform engineering partners, you'll own projects from first prototype through production operation. You'll combine full-stack engineering (MCP servers, agentic systems, web applications, etc.) with hands-on evaluation work (behavior benchmarks, production monitoring, ROI measurement), and help architect the shared platforms that builders from across our go-to-market org contribute to. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing AI engineering function at a pivotal moment in the company's growth.
Key responsibilities
Build and operate autonomous agents that run go-to-market motions end to end, across areas like inbound, outbound, pipeline management, and customer engagement
Design the human oversight for each motion: approval gates, handoffs, and escalation paths that keep sellers in control
Develop evaluation frameworks for agent behavior, and run them in development and in production
Instrument model and tool calls in production, and build the observability and measurement that ties agent actions to pipeline and revenue
Ship MCP servers, agent skills, and web applications that connect to systems like our CRM, communication tools, and data warehouse
Set the technical direction for how we build, evaluate, and operate agents across the team
Architect shared codebases that builders from across go-to-market contribute to, setting the conventions and review practices that keep quality high
Work directly with sellers to ground agent designs in real workflows, and iterate based on what you observe
Identify repeatable patterns and contribute insights back to Anthropic's Product and Engineering teams
Maintain strong knowledge of the latest developments in LLM capabilities, agent frameworks, and evaluation techniques
Minimum qualifications
Strong programming skills in Python or TypeScript, with experience building and operating production applications
Production experience with LLMs, including context engineering, agent development, MCP development, tool use, and evaluation frameworks
Experience using evals and transcript analysis to find and fix real problems in an LLM system
Working fluency with data, including SQL
Ability to navigate ambiguity and ship without a spec, finding simple solutions to complex problems
Passion for advancing safe, beneficial AI, and care for the people who use what you build
Preferred qualifications
8+ years in roles such as software engineer, ML engineer, or forward deployed engineer. Former technical founders are encouraged to apply
Experience with the Claude Code and the Claude Agent SDK
Experience with go-to-market systems (CRM, sales engagement, enrichment, conversation intelligence) or time working closely with a revenue team
Experience growing a codebase that many people contribute to, inner-source or open-source
Applied ML and experimentation background: A/B testing, propensity models, recommendations, or causal analysis
Exceptional communication skills to convey technical concepts to non-technical partners with low ego
Representative projects
(Illustrative of the kind of work, not a project list.)
Build an agent that takes a routine sales workflow from first signal to a drafted, human-reviewed action
Stand up the eval suite for an agent: seed scenarios, scoring rubrics, and regression runs on every change
Ship an MCP server that gives sellers and their agents governed access to a core revenue system
Design a shared repository where go-to-market builders publish agents and skills, with the tests and review rules that keep it healthy
Build a predictive model that explains itself, so an agent can tell a seller why it suggests an action
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote, Canada; Remote, United States
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
As a Technical Program Manager on GitLab's all-remote R&D PMO team, you will own complex, end-to-end programs that are central to our AI-powered DevSecOps strategy. You will drive high-priority initiatives across product, engineering, data, and security teams, transforming strategic vision into executable plans that deliver innovative capabilities like the GitLab Duo Agent Platform and next-generation developer tools. You will work closely with executive leaders and cross-functional stakeholders, serving as the bridge between strategy and execution through clear communication, proactive risk management, and structured program delivery. In your first year, you will independently lead strategic programs, driving predictable execution, thoughtful tradeoffs between quality and speed, and transparent stakeholder alignment.
Some examples of our projects:
Leading the GitLab Duo Agent Platform from GA through enterprise adoption, including customer onboarding, support models, and billing integration for AI-driven capabilities
Delivering data-intensive platform initiatives that enhance developer productivity and enterprise analytics capabilities
Driving infrastructure modernization and scalability programs that support our growing customer base
Orchestrating security and compliance initiatives that maintain our industry-leading DevSecOps standards
What you will do
Lead end-to-end technical programs across product, engineering, data, and security, from initial scope through launch and continuous improvement
Collaborate closely with executive leaders and senior stakeholders to translate strategic vision into actionable roadmaps and align on priorities and tradeoffs
Coordinate distributed teams across time zones using strong asynchronous communication, providing structure, clarity, and consistent status updates
Develop and maintain comprehensive program plans, proactively identifying and mitigating risks and dependencies while facilitating decisions that balance speed, quality, and customer impact
Partner with customer success and cross-functional teams to refine communication plans, and operational workflows
Champion GitLab's values and culture within programs, fostering collaborative excellence, continuous improvement, and innovation
Take part in on-call or operational support where your team’s ownership model requires it
What you will bring
Proven experience leading technical program initiatives in product, engineering, data, or security environments, with demonstrated success delivering complex programs from inception through scaled adoption
Demonstrated ability to define strategy and create clarity within extreme ambiguity
Strong background in SaaS, cloud infrastructure, or DevOps technology companies, with ability to quickly master the GitLab platform and AI/ML initiatives
Proven experience influencing and driving impact at a division and company-wide scale, affecting market position and revenue
Excellence in cross-functional leadership, with experience partnering with engineering, product, security teams and engaging effectively with senior and C-level stakeholders
Outstanding communication skills, including asynchronous collaboration, executive reporting, and the ability to translate technical complexity into clear business impact
Track record of success in fast-paced, dynamic environments with evolving technical requirements and market opportunities
Strong facilitation and influence skills, with ability to drive consensus across diverse stakeholder groups while building trust through transparency and delivery excellence
Expertise in high-level stakeholder management, including masterful communication with Executive Boards and enterprise Customers
Collaborative leadership style aligned with GitLab's values, including respect, openness to feedback, and commitment to team success
Proven track record of redefining organizational operations and serving as an escalation point to resolve highly complex, enterprise-level challenges
Proven experience leading complex reliability programs across multiple engineering organizations
Welcome candidates from diverse backgrounds, including those with consulting, enterprise technology, or technical leadership experience who have owned outcomes and delivered transformational initiatives
Ability to act as a visionary leader, shaping R&D direction and fostering technical excellence across the organization
About the team:
The Technical Program Management team sits within GitLab's R&D Program Management Office and drives product, engineering, data, and security initiatives across our AI-powered DevSecOps platform. You will join our growing, distributed team of Technical Program Managers currently spanning North America and Europe. We own the end-to-end delivery of complex, cross-functional programs including AI platform capabilities, enterprise customer initiatives, and strategic technology transformations. As an all-remote team, we excel at asynchronous communication to coordinate across time zones while partnering closely with executive leaders and stakeholders to deliver business-critical outcomes.
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
$203,200
—
$345,600 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
.
Location: U.S. (Remote)
Workplace: Remote
ABOUT CLIPBOARD
Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.
Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.
NOTE: This is an active job posting for US candidates. There is a separate posting for non-US candidates on the Clipboard Careers page.
Role overview:
The Collections Account Manager (CAM) role is a critical role on the Billing team here at Clipboard, and this team ensures the successful management of billing processes for our biggest and most valuable workplace customers, who tend to also be more complex and risky. You will be a vital resource for workplaces, resolving billing issues, maintaining accurate invoicing, and managing financial relationships. Your responsibilities include:
- Managing a portfolio of accounts, addressing billing concerns and ensuring timely invoice payments.
- Conducting high volumes of outbound calls to connect with customers about past-due account balances and resolve them.
- Navigating negotiations and evaluate tradeoffs between risk mitigation and growth potential when making decisions.
- Resolving customer invoice disputes and other billing-related issues.
- Managing customer payments and remittances.
- Building trust with providers and healthcare executives through strong financial acumen.
- Clearly articulating the billing processes and educate stakeholders on invoicing procedures.
- Gathering and relaying feedback to improve billing systems and processes.
- Collaborating with internal teams to execute billing-related initiatives and trials.
Quick background on Billing:
There’s much to explain to paint the full picture of the Billing machine, but ultimately the core goal is to optimize the speed with which our customers pay us while maintaining their overall experience with us as a vendor. We want to collect money as fast as possible and minimize losses, while preserving the customer experience, in service of reliably converting revenue into cash (the lifeline of a capital-intensive business like ours). This in a way is “ensuring high-quality growth” for the company.
Although Clipboard provides a service where workplaces can find qualified professionals to fill shifts, we are in many ways a lending company at our core since we pay professionals immediately after they work a shift. For illustrative purposes: a nurse works a shift → we pay the nurse $100 immediately with our cash → the workplace pays us $120 a month later. We extend debt to workplaces using cash we borrow, with interest, from an Asset-Backed Line (ABL) of credit – workplaces use that debt to pay their staffing costs, and we expect to be paid back by the workplaces at a later date based on agreed-upon net terms.
The point is: Billing is doing the critical work of actually converting our revenue into cash that we put in the bank. Otherwise, money we cannot collect is money we’ve burned. We consistently fight a multi-faceted battle: a battle wherein we must maximize the speed at which we recognize revenue, maximize the margin associated with each shift, and maximize the customer experience, all without letting one unduly impact the other. Optimizing collections is critical to make sure Clipboard is generating sustainable, high-quality growth and turning top-line revenue into cash that we use to service or grow other parts of the business.
Though the CAM role lives in the realm of finance and numbers, you don’t need to be skilled in finance or accounting – while it’d be a plus, we expect you to learn the basics along the way.
Success factors for this role:
- Extreme ownership: Take full responsibility for managing billing issues and solutions.
- Curiosity: Investigate and understand the root cause of billing problems so that you can identify the best solution.
- Scrappiness: Find innovative solutions to overcome obstacles and maintain progress.
- Adaptability: Thrive in a fast-paced, evolving market.
Benefits:
- Competitive pay
- Unlimited PTO
- Fully remote
- Opportunity to make a significant impact with healthcare customers
Hiring plan:
1. CAM Case Study
2. Case Study Interview
3. Customer Simulation Interview (s)
4. Hiring Manager Interview
5. Executive Interview (for US candidates only)
6. Offer!
System requirements:
To succeed in this role, you must have:
- A reliable laptop/desktop (no Chromebooks or Linux OS).
- Minimum 20 Mbps wired internet connection.
- Wired headset for clear communication.
- A quiet, distraction-free workspace.
- Stable power and internet connectivity.
Quick Note on Scammers:
Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.
ГибридseniorParis, France
Tokyo, Japan; Hands-on Salesforce experience (reporting, data maintenance), and comfort being the only operations person in the region while working with a team many time zones away
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
San Francisco, CA | New York City, NY | Seattle, WA
San Francisco, CA | Seattle, WA
San Francisco, CA | New York City, NY
San Francisco, CA | New York City, NY | Seattle, WA
San Francisco, CA | New York City, NY
leadSan Francisco, CA | New York City, NY | Seattle, WA
Milan, Italy
Singapore
Hong Kong, Hong Kong SAR
Singapore, Singapore
УдалённоRemote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA
УдалённоRemote, Canada; Remote, United States; Coordinate distributed teams across time zones using strong asynchronous communication, providing structure, clarity, and consistent status updates; Welcome candidates from diverse backgrounds, including those with consulting, enterprise technology, or technical leadership experience who have owned outcomes and delivered transformational initiatives; As an all-remote team, we excel at asynchronous communication to coordinate across time zones while partnering closely with executive leaders and stakeholders to deliver business-critical outcomes; The base salary range for this role’s listed level is currently for residents of the United States only
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