Location: Almaty, Kazakhstan
Workplace: OnSite
Almaty, Kazakhstan · Trust & Safety Engineering
Why this role exists
An agent needs more than a model response to complete useful work. It needs tools, durable execution, permissions, context, and a way to recover when something fails. You'll build the backend that lets Higgsfield agents carry creative tasks from a user's request to a finished result. We're looking for an engineer we can trust with a problem: work out what is worth building, build it, and carry it through to users.
What you'll actually do
- Agent execution: build orchestration for multi-step tasks, tool calls, streaming updates, and cancellation.
- Durable workflows: implement checkpoints, resumability, retries, and recovery without duplicating actions.
- Tools and integrations: connect agents to generation, editing, and external services through clear, validated interfaces.
- Execution boundaries: enforce user permissions, tenant isolation, resource limits, and approval requirements for consequential actions.
- Evaluation and observability: trace failures, build regression cases, and improve task completion, latency, and cost.
- Ownership: understand a real user task → define success and build evaluation cases → scope the simplest useful workflow → ship → measure completion, reliability, and dollar impact → improve from failed runs. Our release cycle is days, not quarters, so your first shipped agent capability happens fast.
Must-haves
1. You've taken a difficult problem from an unclear starting point to a working system used in production, and can explain your own decisions, contribution, and results.
2. You can build reliable agent execution: state machines, concurrency, queues, recovery, model APIs, secure tool calls, and repeatable evaluations. You learn unfamiliar tools quickly and understand what you ship.
3. You choose the next steps, remove blockers, and ask for help when needed. You cut scope to test an idea, adapt from evidence, and keep working through difficult problems.
4. You investigate real user tasks and failed agent runs, use feedback to choose what to automate, and stop workflows that do not help users finish their work.
5. You take feedback, change your mind when the evidence changes, and do the work the team needs. You share knowledge and responsibility so others can operate and extend what you build.
Who this is not for
- You prefer deterministic application behavior without investigating model uncertainty.
- You prefer prototyping without owning evaluation, recovery, and production reliability.
Nice to have
- Production agents, workflow engines, or developer tools.
- High-throughput systems with heavy traffic, large data volumes, or many long-running jobs.
- Agent context management, memory, subagents, or parallel tool calls.
- Sandboxed execution and scoped authorization.
- Multimodal workflows involving images, video, or audio.
Interview process
1. Recruiter screen: role expectations, logistics, and fit.
2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you.
3. Additional technical interview, if needed: a deeper discussion of technical skills and open questions.
4. Product fit interview: scope a useful tool-using workflow, evaluate failures, and explain when user feedback would lead you to change or stop it.
5. Offer.
What we offer
Competitive base in USD, equity, relocation support, and ownership of systems that turn AI capabilities into completed creative work.
ОфисAlmaty, Kazakhstan; Competitive base in USD, equity, relocation support, and ownership of systems that turn AI capabilities into completed creative work
🔥Проект - Building and scaling a multi-asset trade and portfolio management platform with strong backend focus including designing, developing, and maintaining backend services, APIs, and data pipelines.
Location: United States; Charlotte; Chicago; Seattle; Austin; Atlanta; New York; Boston; San Francisco
Workplace: Remote
ClickHouse Cloud, the fully managed version of the open source ClickHouse database, is available on AWS, GCP, and Azure. Customers can purchase directly from ClickHouse or through the cloud marketplaces. Billing is how every ClickHouse product reaches customers and shows up in our financials. As we add new products and new ways to buy, we are investing in our billing platform to scale with them. As Senior Product Manager for Billing and Marketplaces, you will own a key area of that work and report to the Director of Product Management, Billing and Marketplaces.
YOU WILL:
- Own the roadmap, execution, and launches for a key area of billing or marketplaces (for example metering and pricing, prepaid commit, or a cloud marketplace), working alongside engineering leads, Finance, and Sales Ops.
- Scope features with engineering, turn them into a clear near-term roadmap, and track them through to launch.
- Improve our prepaid commit capabilities, including customer-specific rate cards, contract changes and rollovers, customer-facing balance visibility, and spend alerts.
- Drive our cloud marketplace integrations across AWS, GCP, and Azure, including private offers, usage reporting, and subscription linking.
- Improve payment and collections flows, including dunning and delinquency handling, so customers are billed accurately and service is not interrupted by avoidable billing issues.
- Lead billing launches for new products and pricing models in partnership with Product Marketing, Sales, and Support.
- Serve as a subject matter expert on how customers are billed across the company.
YOU BRING:
- 7+ years of product management experience, including 3+ years owning billing, metering, payments, or commercial platforms for a cloud or usage-based product.
- Solid understanding of usage-based pricing, prepaid credits, and committed spend contracts, and how they translate into systems, invoices, and revenue.
- Hands-on experience with AWS, GCP, or Azure marketplaces, including private offers, co-sell, and metering APIs.
- Familiarity with payments across card, invoice, and marketplace channels, including dunning and delinquency flows.
- Working knowledge of order-to-cash, including invoicing, tax, multi-currency, and revenue recognition.
- Experience with third-party billing and payment platforms, such as Stripe or a usage-based billing vendor.
- A track record of independently leading complex projects across engineering, Finance, and go-to-market teams, from scoping through launch.
- Strong written and verbal communication, including presenting trade-offs to product and engineering leadership and explaining billing concepts to non-technical audiences.
BONUS POINTS:
- Experience at an infrastructure, database, or developer platform company.
- Comfortable going deep with engineers on event-driven architectures, data pipelines, and idempotency, and fluent enough in SQL to analyze billing data yourself.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Europe; Portugal; France; United Kingdom; Italy; Israel; The Netherlands
Workplace: Hybrid
ClickHouse Cloud, the fully managed version of the open source ClickHouse database, is available on AWS, GCP, and Azure. Customers can purchase directly from ClickHouse or through the cloud marketplaces. Billing is how every ClickHouse product reaches customers and shows up in our financials. As we add new products and new ways to buy, we are investing in our billing platform to scale with them. As Senior Product Manager for Billing and Marketplaces, you will own a key area of that work and report to the Director of Product Management, Billing and Marketplaces.
YOU WILL:
- Own the roadmap, execution, and launches for a key area of billing or marketplaces (for example metering and pricing, prepaid commit, or a cloud marketplace), working alongside engineering leads, Finance, and Sales Ops.
- Scope features with engineering, turn them into a clear near-term roadmap, and track them through to launch.
- Improve our prepaid commit capabilities, including customer-specific rate cards, contract changes and rollovers, customer-facing balance visibility, and spend alerts.
- Drive our cloud marketplace integrations across AWS, GCP, and Azure, including private offers, usage reporting, and subscription linking.
- Improve payment and collections flows, including dunning and delinquency handling, so customers are billed accurately and service is not interrupted by avoidable billing issues.
- Lead billing launches for new products and pricing models in partnership with Product Marketing, Sales, and Support.
- Serve as a subject matter expert on how customers are billed across the company.
YOU BRING:
- 7+ years of product management experience, including 3+ years owning billing, metering, payments, or commercial platforms for a cloud or usage-based product.
- Solid understanding of usage-based pricing, prepaid credits, and committed spend contracts, and how they translate into systems, invoices, and revenue.
- Hands-on experience with AWS, GCP, or Azure marketplaces, including private offers, co-sell, and metering APIs.
- Familiarity with payments across card, invoice, and marketplace channels, including dunning and delinquency flows.
- Working knowledge of order-to-cash, including invoicing, tax, multi-currency, and revenue recognition.
- Experience with third-party billing and payment platforms, such as Stripe or a usage-based billing vendor.
- A track record of independently leading complex projects across engineering, Finance, and go-to-market teams, from scoping through launch.
- Strong written and verbal communication, including presenting trade-offs to product and engineering leadership and explaining billing concepts to non-technical audiences.
BONUS POINTS:
- Experience at an infrastructure, database, or developer platform company.
- Comfortable going deep with engineers on event-driven architectures, data pipelines, and idempotency, and fluent enough in SQL to analyze billing data yourself.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Europe; Portugal; France; United Kingdom; Spain; Israel; The Netherlands
Workplace: Hybrid
ClickHouse Cloud, the fully managed version of the open source ClickHouse database, is available on AWS, GCP, and Azure. Customers can purchase directly from ClickHouse or through the cloud marketplaces. Billing is how every ClickHouse product reaches customers and shows up in our financials. As we add new products and new ways to buy, we are investing in our billing platform to scale with them. As Principal Product Manager for Billing and Marketplaces, you will lead that work and report to the Director of Product Management, Billing and Marketplaces.
WHAT YOU WILL DO:
- Own the multi-year vision, strategy, and roadmap for billing, from usage metering through invoicing, payments, and revenue recognition, working alongside the product managers and engineering leads of our metering and pricing, billing platform, and payments teams.
- Evolve our metering and pricing foundation into a single metrics pipeline that new products can reuse, where the same metric can be priced differently by product and tier, and only net-new metrics need code changes.
- Evolve our prepaid commit capabilities, with flexibility for customer-specific rate cards or metric-level discounts, contract changes and rollovers, and customer-facing balance visibility and spend alerts.
- Own our cloud marketplace strategy and integrations across AWS, GCP, and Azure, including private offers, usage reporting, and subscription linking.
- Lead the evaluation of billing architecture, from build versus buy decisions and POCs through migration plans and a clear recommendation to senior leadership.
- Give Finance, Data, and Sales Ops systems they can trust, including ERP and revenue recognition sync, period close, audit controls, and SOX and SOC 2 readiness.
- Partner with product teams, Product Marketing, Sales, and Support to launch billing for new products and pricing models, and serve as the company's subject matter expert on how customers are billed.
- Mentor other product managers and help build the team.
ABOUT YOU:
- 10+ years of product management experience, including 5+ years owning billing, metering, payments, or commercial platforms for a cloud or usage-based product.
- Deep expertise in usage-based pricing, prepaid credits, and committed spend contracts, and in how they translate into systems, invoices, and revenue.
- Hands-on experience with AWS, GCP, or Azure marketplaces, including private offers, co-sell, entitlements, metering APIs, and disbursements.
- Familiarity with payments across card, invoice, marketplace, and partner channels, including dunning and delinquency flows, fraud detection, and payment notifications.
- Strong understanding of order-to-cash, including invoicing, payment processing, tax, multi-currency, ERP integration, and revenue recognition.
- Experience with third-party billing and payment platforms, such as Stripe or a usage-based billing vendor.
- A track record of designing and maturing a product area from v1 and leading complex programs across engineering, Finance, and go-to-market teams.
- Excellent written and verbal communication, including presenting trade-offs to executives and explaining billing concepts to non-technical audiences.
BONUS POINTS:
- Experience at an infrastructure, database, or developer platform company.
- Comfortable going deep with engineers on event-driven architectures, data pipelines, and idempotency, and fluent enough in SQL to analyze billing data yourself.
- Speaking or published thought leadership on usage-based pricing, billing, or cloud marketplaces.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: United States; Charlotte; Chicago; Seattle; Austin; Atlanta; New York; Boston; Columbus; San Francisco; Dallas
Workplace: Remote
ClickHouse Cloud, the fully managed version of the open source ClickHouse database, is available on AWS, GCP, and Azure. Customers can purchase directly from ClickHouse or through the cloud marketplaces. Billing is how every ClickHouse product reaches customers and shows up in our financials. As we add new products and new ways to buy, we are investing in our billing platform to scale with them. As Principal Product Manager for Billing and Marketplaces, you will lead that work and report to the Director of Product Management, Billing and Marketplaces.
WHAT YOU WILL DO:
- Own the multi-year vision, strategy, and roadmap for billing, from usage metering through invoicing, payments, and revenue recognition, working alongside the product managers and engineering leads of our metering and pricing, billing platform, and payments teams.
- Evolve our metering and pricing foundation into a single metrics pipeline that new products can reuse, where the same metric can be priced differently by product and tier, and only net-new metrics need code changes.
- Evolve our prepaid commit capabilities, with flexibility for customer-specific rate cards or metric-level discounts, contract changes and rollovers, and customer-facing balance visibility and spend alerts.
- Own our cloud marketplace strategy and integrations across AWS, GCP, and Azure, including private offers, usage reporting, and subscription linking.
- Lead the evaluation of billing architecture, from build versus buy decisions and POCs through migration plans and a clear recommendation to senior leadership.
- Give Finance, Data, and Sales Ops systems they can trust, including ERP and revenue recognition sync, period close, audit controls, and SOX and SOC 2 readiness.
- Partner with product teams, Product Marketing, Sales, and Support to launch billing for new products and pricing models, and serve as the company's subject matter expert on how customers are billed.
- Mentor other product managers and help build the team.
ABOUT YOU:
- 10+ years of product management experience, including 5+ years owning billing, metering, payments, or commercial platforms for a cloud or usage-based product.
- Deep expertise in usage-based pricing, prepaid credits, and committed spend contracts, and in how they translate into systems, invoices, and revenue.
- Hands-on experience with AWS, GCP, or Azure marketplaces, including private offers, co-sell, entitlements, metering APIs, and disbursements.
- Familiarity with payments across card, invoice, marketplace, and partner channels, including dunning and delinquency flows, fraud detection, and payment notifications.
- Strong understanding of order-to-cash, including invoicing, payment processing, tax, multi-currency, ERP integration, and revenue recognition.
- Experience with third-party billing and payment platforms, such as Stripe or a usage-based billing vendor.
- A track record of designing and maturing a product area from v1 and leading complex programs across engineering, Finance, and go-to-market teams.
- Excellent written and verbal communication, including presenting trade-offs to executives and explaining billing concepts to non-technical audiences.
BONUS POINTS:
- Experience at an infrastructure, database, or developer platform company.
- Comfortable going deep with engineers on event-driven architectures, data pipelines, and idempotency, and fluent enough in SQL to analyze billing data yourself.
- Speaking or published thought leadership on usage-based pricing, billing, or cloud marketplaces.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
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
Join Anthropic's Customer Success team in a high-visibility & high-impact role driving AI adoption across a small number of enterprise accounts in our Enterprise Tech segment. As our dedicated Customer Success Manager for Enterprise Tech Customers you’ll be their partner and trusted advisor helping them harness the full potential of all our Claude capabilities - API, Claude Code, Cowork, and other surface areas.
You'll work with a book of global technology leaders to actively deploy AI and reshape the technology landscape. You’ll be working with key partners who are moving fast and pushing the boundaries of what's possible with LLM technology. Your role will entail developing genuine partnerships with the customer and key stakeholders, gaining a deep understanding of their multi-pronged business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.
In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage grows and evolves.
Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business.
Responsibilities:
Build trusting, strategic relationships with key customer decision makers in complex, matrixed organizations; understand their business and objectives and identify opportunities for optimization and expansion
Own customer operations across the lifecycle of each account, maintaining a structured operational assessment (customer readiness, operational health, strategic alignment, enablement strategy, adoption intelligence) that grounds comprehensive account and success plans and Executive Business Reviews
Become an expert in Anthropic's products across API, Claude Code and Cowork, understanding the technical nuances and best practices for each to guide customers to the right solutions
Leverage your deep knowledge of each customer, and the patterns you see across your other Tech accounts, to proactively drive consumption planning and the value story behind it, developing credible ROI hypotheses and quantifying outcomes that build the case for continued and expanded investment.
Monitor usage patterns and identify optimization opportunities across Claude surface areas (API, Claude Code, Cowork) to drive full value from contracted commitments
Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs
Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
Ruthlessly prioritize across the account's many business units and workstreams, building programmatic, repeatable motions
You may be a good fit if you have:
6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or Strategy Consulting
Experience working with F500 technology companies, SaaS platforms, or digital-first businesses at the exec level—ideally including high-growth and established tech companies.
You understand what it means to lead organization-wide change or adoption programs (multiple functions, hundreds of users) for a product that requires C-suite sponsorship
Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users
Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes — you can run multiple enterprise motions in parallel without letting any account go quiet.
Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs
Passion for AI and interest in responsible development of advanced systems. You have built with Claude Code, automating your own workflows with agents, skills, and tooling.
A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality
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:
$200,000
—
$265,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
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 Anthropic Institute
The Anthropic Institute (TAI) is a function within Anthropic that works to advance the public conversation around AI.
The Institute is comprised of research teams tackling some of AI's most consequential societal challenges: the Frontier Red Team, which stress tests our systems against catastrophic risks; Societal Impacts, which studies how Claude is used by millions of people; Economic Research, which tracks AI's impact on people's jobs and the larger economy; the Rule of Law team, which studies AI's impacts to democracy; and more.
The Institute's mission is to reduce information asymmetries between Anthropic and the outside world, name and answer the hard questions implied by powerful AI systems, and publish these findings so that policymakers, researchers, technology leaders, and the public can reckon with what's here and what's to come.
About the role
The role.
You will build and lead the Institute’s tabletop exercise program and the team that runs it. Based on trends visible in the exponential and in consultation with technical experts, you will set the research agenda: which questions the exercises should answer, which scenarios to run, with which audiences, and what each run is meant to test. You will own the methods that make results comparable across runs and turn them into findings people outside the room can use. You will hire and manage a team plus a bench of facilitators, and you will be the program’s public voice.
Why tabletop exercises?
If RSI arrives, the hardest problems will be about making decisions under uncertainty. The people making them may not trust each other, and the authorities they work under may not be fit-for-purpose. A tabletop exercise (TTX) allows the people who would face that situation practice it before it is real. It also shows us what tools and information they reach for, including what they would need that does not exist yet.
Tabletop exercises are also a research method. You can run the same scenario many times, with different groups of people (and with many more AI agents playing in silico), and you start to see the distribution of decisions people make. This is one of the few ways to generate empirical evidence about the future, i.e., how people and institutions will respond to situations that have not happened yet.
Key responsibilities
Set the program’s research agenda: the questions exercises should answer, the scenarios to run, and the audience for each
Design exercises as empirical studies: define what each run tests, standardize scenarios and data capture so results are comparable, and use repeated play to map the range of outcomes
Build the program’s measurement: pre- and post-exercise assessments, decision logs, transcript analysis and after-action reports
Turn results into findings: publish on what the exercises show, and brief senior people inside and outside Anthropic on the gaps they expose
Hire, manage and develop a team and a bench of facilitators
Make the program scalable: maintain a library of tested scenarios that the team reuses most of the time, refreshed on a regular cadence so they stay timely
Build a facilitator kit ("TTX in a box") so other internal teams or external partners can run exercises to the same standard
Create and direct the tools behind the exercises, including Claude-driven simulations that generate a live outside-world feed during play
Minimum qualifications
Have designed and run tabletop exercises, wargames, or simulations for senior decision-makers and published on the subject
Have training in a discipline that uses simulation, experimental methods or structured analysis
Have 10+ years of experience in national security, government, technology policy, or strategy
Can keep the scenarios technically grounded with a strong grasp of AI capabilities and safety research
Have managed a team, including hiring, setting direction, giving feedback and developing people
Use Claude and other AI tools extensively in your own work
Care about AI safety and Anthropic's public benefit mission
Preferred qualifications
Published research on wargaming methods, simulation or crisis decision-making
Run exercises that fed into real policy or crisis-response decisions
Run multi-iteration or experimental wargames and analyzed results across runs
Used AI agents or language models as players, adjudicators or analysts in simulations
Led a research program or team through a period of growth
Existing relationships across national security, government, policy and AI, and are trusted in those communities
Published widely read work on AI, emerging technology, strategy or crisis decision-making
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.
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:
$295,000
—
$295,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are seeking an accomplished Scientific Research Expert with deep expertise in computer science, computational physics, or related theoretical and mathematical disciplines to contribute to an advanced AI research project. In this role, you will work with frontier AI models and agents to investigate open research problems, evaluate theoretical and computational results, and establish rigorous standards for measuring scientific progress. You will help guide multi-step research workflows involving proofs, algorithms, numerical experiments, simulations, and high-performance computing, while documenting model limitations and identifying promising directions for further investigation. Prior AI industry experience is not required; exceptional research expertise and rigorous scientific judgment are the priorities.
SENIORITY: Principal / Research Leader
LANGUAGE: Excellent written English
LOCATION: Remote — Worldwide
Key Responsibilities
Identify and formulate foundational open problems, theoretical bounds, and computational challenges where progress can be rigorously demonstrated.
Guide AI models and agents through complex, multi-step research workflows involving mathematical proofs, algorithm development, numerical experiments, and high-performance simulations.
Validate research results using proof verification, computational reproduction, formal methods, and other rigorous evaluation techniques.
Assess the novelty, correctness, and scientific significance of research outputs against established findings and current literature.
Prepare concise research memos documenting attempted solutions, partial progress, model limitations, and recurring reasoning failures.
Recommend promising research directions, subfields, and open problems suitable for investigation using advanced AI models and computational tools.
Apply critical judgment when reviewing technical work beyond your immediate research specialization.
Help establish evaluation standards that distinguish genuine scientific progress from plausible but unsupported results.
Requirements
Approximately 7–10+ years of active research experience in computer science, mathematical physics, computational physics, or a closely related discipline.
Strong record of scholarly contributions, including publications in leading conferences, journals, or other recognized research venues.
Deep hands-on experience with computational research methods, such as numerical analysis, simulation, algorithm implementation, or high-performance computing.
Demonstrated ability to evaluate technical claims rigorously, verify results, and identify gaps in mathematical or computational reasoning.
Strong familiarity with the research literature and established results in your field.
Excellent analytical, technical writing, and research communication skills.
Ability to work independently, assess ambiguous problems, and communicate findings clearly.
Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are seeking an accomplished Scientific Research Expert with deep expertise in computer science, computational physics, or related theoretical and mathematical disciplines to contribute to an advanced AI research project. In this role, you will work with frontier AI models and agents to investigate open research problems, evaluate theoretical and computational results, and establish rigorous standards for measuring scientific progress. You will help guide multi-step research workflows involving proofs, algorithms, numerical experiments, simulations, and high-performance computing, while documenting model limitations and identifying promising directions for further investigation. Prior AI industry experience is not required; exceptional research expertise and rigorous scientific judgment are the priorities.
SENIORITY: Principal / Research Leader
LANGUAGE: Excellent written English
LOCATION: Remote — Worldwide
Key Responsibilities
Identify and formulate foundational open problems, theoretical bounds, and computational challenges where progress can be rigorously demonstrated.
Guide AI models and agents through complex, multi-step research workflows involving mathematical proofs, algorithm development, numerical experiments, and high-performance simulations.
Validate research results using proof verification, computational reproduction, formal methods, and other rigorous evaluation techniques.
Assess the novelty, correctness, and scientific significance of research outputs against established findings and current literature.
Prepare concise research memos documenting attempted solutions, partial progress, model limitations, and recurring reasoning failures.
Recommend promising research directions, subfields, and open problems suitable for investigation using advanced AI models and computational tools.
Apply critical judgment when reviewing technical work beyond your immediate research specialization.
Help establish evaluation standards that distinguish genuine scientific progress from plausible but unsupported results.
Requirements
Approximately 7–10+ years of active research experience in computer science, mathematical physics, computational physics, or a closely related discipline.
Strong record of scholarly contributions, including publications in leading conferences, journals, or other recognized research venues.
Deep hands-on experience with computational research methods, such as numerical analysis, simulation, algorithm implementation, or high-performance computing.
Demonstrated ability to evaluate technical claims rigorously, verify results, and identify gaps in mathematical or computational reasoning.
Strong familiarity with the research literature and established results in your field.
Excellent analytical, technical writing, and research communication skills.
Ability to work independently, assess ambiguous problems, and communicate findings clearly.
Location: India; Australia; Japan; Singapore; Philippines; New Zealand
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are seeking an accomplished Scientific Research Expert with deep expertise in computer science, computational physics, or related theoretical and mathematical disciplines to contribute to an advanced AI research project. In this role, you will work with frontier AI models and agents to investigate open research problems, evaluate theoretical and computational results, and establish rigorous standards for measuring scientific progress. You will help guide multi-step research workflows involving proofs, algorithms, numerical experiments, simulations, and high-performance computing, while documenting model limitations and identifying promising directions for further investigation. Prior AI industry experience is not required; exceptional research expertise and rigorous scientific judgment are the priorities.
SENIORITY: Principal / Research Leader
LANGUAGE: Excellent written English
LOCATION: Remote — Worldwide
Key Responsibilities
Identify and formulate foundational open problems, theoretical bounds, and computational challenges where progress can be rigorously demonstrated.
Guide AI models and agents through complex, multi-step research workflows involving mathematical proofs, algorithm development, numerical experiments, and high-performance simulations.
Validate research results using proof verification, computational reproduction, formal methods, and other rigorous evaluation techniques.
Assess the novelty, correctness, and scientific significance of research outputs against established findings and current literature.
Prepare concise research memos documenting attempted solutions, partial progress, model limitations, and recurring reasoning failures.
Recommend promising research directions, subfields, and open problems suitable for investigation using advanced AI models and computational tools.
Apply critical judgment when reviewing technical work beyond your immediate research specialization.
Help establish evaluation standards that distinguish genuine scientific progress from plausible but unsupported results.
Requirements
Approximately 7–10+ years of active research experience in computer science, mathematical physics, computational physics, or a closely related discipline.
Strong record of scholarly contributions, including publications in leading conferences, journals, or other recognized research venues.
Deep hands-on experience with computational research methods, such as numerical analysis, simulation, algorithm implementation, or high-performance computing.
Demonstrated ability to evaluate technical claims rigorously, verify results, and identify gaps in mathematical or computational reasoning.
Strong familiarity with the research literature and established results in your field.
Excellent analytical, technical writing, and research communication skills.
Ability to work independently, assess ambiguous problems, and communicate findings clearly.
Location: United States; Panama; Guatemala; Mexico; Costa Rica; Canada
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are seeking an accomplished Scientific Research Expert with deep expertise in computer science, computational physics, or related theoretical and mathematical disciplines to contribute to an advanced AI research project. In this role, you will work with frontier AI models and agents to investigate open research problems, evaluate theoretical and computational results, and establish rigorous standards for measuring scientific progress. You will help guide multi-step research workflows involving proofs, algorithms, numerical experiments, simulations, and high-performance computing, while documenting model limitations and identifying promising directions for further investigation. Prior AI industry experience is not required; exceptional research expertise and rigorous scientific judgment are the priorities.
SENIORITY: Principal / Research Leader
LANGUAGE: Excellent written English
LOCATION: Remote — Worldwide
Key Responsibilities
Identify and formulate foundational open problems, theoretical bounds, and computational challenges where progress can be rigorously demonstrated.
Guide AI models and agents through complex, multi-step research workflows involving mathematical proofs, algorithm development, numerical experiments, and high-performance simulations.
Validate research results using proof verification, computational reproduction, formal methods, and other rigorous evaluation techniques.
Assess the novelty, correctness, and scientific significance of research outputs against established findings and current literature.
Prepare concise research memos documenting attempted solutions, partial progress, model limitations, and recurring reasoning failures.
Recommend promising research directions, subfields, and open problems suitable for investigation using advanced AI models and computational tools.
Apply critical judgment when reviewing technical work beyond your immediate research specialization.
Help establish evaluation standards that distinguish genuine scientific progress from plausible but unsupported results.
Requirements
Approximately 7–10+ years of active research experience in computer science, mathematical physics, computational physics, or a closely related discipline.
Strong record of scholarly contributions, including publications in leading conferences, journals, or other recognized research venues.
Deep hands-on experience with computational research methods, such as numerical analysis, simulation, algorithm implementation, or high-performance computing.
Demonstrated ability to evaluate technical claims rigorously, verify results, and identify gaps in mathematical or computational reasoning.
Strong familiarity with the research literature and established results in your field.
Excellent analytical, technical writing, and research communication skills.
Ability to work independently, assess ambiguous problems, and communicate findings clearly.
Location: San Francisco; London; Seattle; New York City; Toronto
ABOUT THE ROLE
The Enterprise Trust & Governance team builds the control plane that lets the world’s largest organizations deploy Perplexity broadly and with confidence. Computer and our agents work across a growing share of our customers’ environments, tools, and models. For administrators, that makes precise, enforceable control essential: who can do what, with which data, through which agents, and within what usage limits. This team makes those controls easy to manage, reliable and consistent across every product, and transparent to the people accountable for them.
This is a product and platform engineering role with end-to-end ownership, from shaping the architecture and policy models to shipping the experiences our customers’ administrators and security teams use every day. You’ll work across product and infrastructure teams to turn complex enterprise requirements into reusable primitives and intuitive controls. The scope spans identity and provisioning, fine-grained role-based access across connectors, tool actions, and models, customer-managed encryption keys, admin APIs, audit logs, and policy and usage controls. Strong governance helps enterprises move from pilots to company-wide rollouts and gives them the confidence to entrust agents with greater responsibility over time.
KEY RESPONSIBILITIES
- Own enterprise identity and provisioning, including SSO (SAML/OIDC), SCIM, WorkOS integrations, and support for identity providers such as Okta and Microsoft Entra ID.
- Build the permissions platform, with fine-grained roles and permissions for connectors, tool actions, models, and model effort levels, enforced consistently across products and agent workflows.
- Design and ship secure, well-documented admin APIs for audit logs, members, groups, roles, and settings.
- Build policy controls for model and feature availability, staged rollouts, model deprecations, usage and spend limits, alerts, and cost-center allocation.
- Build admin-facing analytics for adoption, usage, spend, and policy enforcement, helping organizations measure value and manage their deployments.
- Deliver audit logs and change notifications that help administrators investigate activity, track configuration changes, and support compliance.
- Set the technical bar for authorization correctness and reliability, with fast, consistent, explainable permission checks, well-defined failure behavior, and strong tenant isolation.
- Partner with Product, Design, Security, Sales, and Customer Success to translate complex enterprise requirements into reusable platform capabilities and intuitive admin experiences.
QUALIFICATIONS
- 4+ years of software engineering experience, with a track record of owning complex backend systems from design through production operation.
- Strong system design skills, including building reliable, scalable, multi-tenant SaaS platforms with clear security and isolation boundaries.
- Strong proficiency in a backend language such as Python, Go, or Rust, and hands-on experience with cloud infrastructure such as AWS and Kubernetes.
- Deep expertise in at least one of the following:
- Enterprise identity and provisioning, including OAuth, OIDC, SAML, and SCIM.
- Permissions platforms, fine-grained authorization, and policy enforcement.
- Encryption, customer-managed keys, and key lifecycle management.
- Enterprise admin platforms, audit infrastructure, or usage and spend analytics.
- Experience building or integrating enterprise identity and access systems, including platforms such as WorkOS, Okta, or Microsoft Entra ID.
- Sound technical judgment in security-sensitive systems, balancing threat models, authorization correctness, and failure behavior with usability and delivery speed.
- A track record of leading ambiguous, cross-team initiatives from architecture through adoption, setting technical direction for shared platforms, and raising engineering quality through mentorship.
If you’re excited about this role, we encourage you to apply even if you don’t meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.
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
Accelerating scientific discovery is a core part of Anthropic's mission, and we believe the highest-leverage path to this is enabling researchers externally to use Claude effectively for their work. This involves communicating Claude’s rapidly improving scientific capabilities through outreach and editorial programs, as well as putting Claude in the hands of researchers through grants, ergonomic research tools, and access programs that help scientists do more with AI than was previously possible.
We’re hiring a Technical Program Manager to be the bridge between the researchers advancing Claude’s scientific capabilities and the outside scientific community. Embedded with the Discovery team, you’ll conceptualize and run the programs that get Claude into scientists’ hands and shape the Anthropic Science Blog, working with Communications, Editorial, Beneficial Deployments, and external partners such as universities, funders, and scientific societies.
This is a technical role, not a purely operational one. These programs already have strong operational and editorial owners. You bring research taste and a firsthand understanding of how academia works, so we’re looking for someone who has been a researcher themselves, ideally through a postdoc or beyond. You’ll have significant autonomy: once aligned with Discovery’s leads on strategy, you’ll drive decisions on what we fund, what we publish, and how we engage with academic communities
Key responsibilities
Act as the interface between research and the outside world.
Stay close to the researchers working on Claude's scientific capabilities and translate rapid capability gain into use by external researchers.
Help set Anthropic’s external science strategy.
Recommend which scientific areas and communities we focus on, and how our programs, collaborations, and communications fit together
Guide the scientific direction of the
Anthropic Science Blog
.
Work with researchers and the Editorial team to identify and source stories internal and external stories worth telling, draft and edit posts, and keep a steady cadence of high-quality science writing.
Drive forward external science programs.
Design, launch, and run grants and access programs such as AI for Science grants and Team plan offerings for research groups, as well as partnerships with scientific foundations and grantmaking organizations. Work with Beneficial Deployments on programs aimed at the highest-impact scientific areas.
Gather feedback from scientific communities.
Identify usage patterns and gather feedback on how researchers use Claude and what capability gaps exist, and turn it into concrete recommendations for research and product teams.
Minimum qualifications
A PhD in a scientific or mathematical field, with a track record of original research
Demonstrated writing ability for both scientific domain and general-interest audiences, with enough understanding of how modern AI models are trained to write about them accurately.
Experience with the grants process, such as applying for and managing competitive funding, and ideally designing, reviewing, or administering funding programs
Deep engagement with frontier AI: you use these tools in your own work, understand where they're strong and where they fail, and take seriously the possibility that AI will transform every face of the scientific process within the next few years
Track record of driving multi-stakeholder projects to completion, and of coordinating people who are juggling other high-priority work. You’re resourceful, high-agency, and able to navigate ambiguity and shifting priorities.
Credibility with researchers: you can talk to scientists as a peer and understand how academic communities work, including their incentives, norms, and sensitivities
Fast learner who builds deep contextual understanding in unfamiliar scientific domains and can contribute meaningfully to discussions with researchers outside your own field.
Preferred qualifications
Experience as a program officer, program director, or fellowship lead at a science funder, research agency, or philanthropy
Published science writing in outlets such as Quanta, Scientific American, or Physics Today, or a substantial public writing presence such as a blog or newsletter
Research experience that uses AI or ML methods, or that involves building scientific software, tools, or datasets
Experience building partnerships with scientific societies, journals, or research institutions
Familiarity with AI safety and responsible deployment, including dual-use considerations in fields like biology
Experience organizing conferences, workshops, or large coordinated launches
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
—
$435,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Global; Ireland; Portugal; United Kingdom; Spain; Brazil; Colombia; South Africa; Canada
Workplace: Remote
✨ ONE PLATFORM, A WHOLE WORLD OF OPPORTUNITY
The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere.
We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing:
- Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time
- Named one of America's Greatest Startup Workplaces 2026 https://www.oysterhr.com/library/oyster-2026-newsweek-award by Newsweek
- A G2 Spring 2026 Leader https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026 across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance
- The only B Corp-certified global employment platform ~ independently verified since 2023
Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one.
And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply.
THE ROLE
Location: While this position is posted in a specific location, all of Oyster’s positions are fully remote and you can work from home. Forever. To create the best experience for our new hire, this role requires you to be based within UTC−6 to UTC+3.
Role Summary
Oyster is hiring an Integrated Campaign Manager to lead the planning and execution of integrated growth campaigns for global prospective customers, turning target accounts into pipeline and accelerating open opportunities. Reporting to the Director of Demand Generation and Growth Marketing, you'll partner closely with our Product Marketing, Brand, Digital, Events, Ops, and Sales teams to deliver one coherent buyer journey across every channel.
This is a role for a marketer who wants their work measured in pipeline, not page views. You’ll own Oyster’s integrated campaigns end to end. Deciding the strategy, the channel mix and the spend, and you’ll see directly how your work drives revenue. You’ll sit at the centre of Marketing and Sales, with the scope to shape how we reach companies hiring across borders.
Key Responsibilities
Demand Generation & Campaign Execution
- Develop, execute and optimize multi-channel demand generation campaigns. Including content syndication, webinars, virtual events, email nurtures, direct mail, referral programs, and demo programs: to drive net-new pipeline and accelerate open opportunities.
- Build quarterly campaign plans that balance always-on programs with high-impact moments for the full prospect lifecycle, modeled backward from pipeline goals to determine program mix and spend.
- Partner with Product Marketing and Brand to turn positioning into campaign messaging, offers, and content that is tested and refined based on results.
- Build campaign enablement (talk tracks, email templates, one-pagers) and align with BDRs on follow-up expectations so campaign interest converts into meetings.
- Manage timelines, budget, and resources to ensure successful campaign delivery with ROI accountability.
Cross-Functional Partnership & Continuous Improvement
- Partner closely with stakeholders in marketing, sales, operations and external vendors to ensure consistent, aligned campaign execution across the business.
- Optimize campaigns and refine strategies based on data-driven results, including A/B testing and performance reporting.
- Identify opportunities to leverage AI and emerging technologies to improve research, segmentation, personalization, campaign development, content distribution, analysis, and execution.
- Facilitate retrospectives and turn performance findings into optimized campaigns and repeatable playbooks.
Core Requirements
- 6+ years in B2B integrated or demand generation marketing, including substantial ownership of demand generation, integrated campaigns, growth marketing, or account-based marketing.
- A track record of building campaigns that tie directly to pipeline coverage and revenue outcomes, not just engagement metrics.
- Strong cross-functional collaboration skills.
- Data-driven, with working knowledge of attribution and pipeline measurement.
- Hands-on experience using AI tools for campaign planning, content acceleration, or workflow automation.
- Experience with Salesforce and HubSpot, or equivalent CRM/MAP platforms.
- Excellent written and verbal communication; comfortable presenting strategy and results to senior stakeholders.
You'll also need
- A reliable home internet connection and fluency in both written and spoken English.
HOW WE WORK TOGETHER AT OYSTER
Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team.
Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d so other global teams can learn from us.
HOW YOU WORK
With diverse locations, cultures, and needs, we created How YOU Work; https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395 a program supporting your whole human experience at Oyster:
- Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere.
- Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country.
- Mental health support: Access Plumm https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7, our mental well-being service.
- Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options.
- Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally.
- WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly.
✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE
We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment.
Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email jobs@oysterhr.com with the subject line: Interview Accommodations.
Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers http://www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline https://faceup.com/c/8tpzyyye.
Location: Remote, USA
Why work at Higgsfield AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
About the role:
Higgsfield AI is looking for a highly commercial Strategic Account Director, Key Accounts to own and grow relationships with our most valuable enterprise customers.
This role will drive revenue expansion, build executive-level relationships, and deepen Higgsfield's presence within major organizations. You will lead strategic account planning, identify new business opportunities, negotiate enterprise agreements, and expand adoption across teams and use cases.
The ideal candidate brings a proven track record of growing complex enterprise accounts within SaaS, AI, or creative technology, combining strong commercial instincts with product fluency and an entrepreneurial mindset.
This is a high-impact role with significant ownership over strategic customer relationships and direct influence on Higgsfield's enterprise growth.
What you'll do:
STRATEGIC ACCOUNT OWNERSHIP & EXPANSION
- Own the commercial strategy, revenue growth, and executive relationships across a portfolio of Higgsfield's highest-value enterprise accounts.
- Develop and execute strategic account plans focused on expanding revenue, increasing product adoption, and building long-term customer partnerships.
- Identify and pursue opportunities to expand Higgsfield's footprint across business units, geographies, teams, and enterprise use cases.
- Lead complex enterprise negotiations, renewals, upsells, and multi-year commercial agreements.
- Build and maintain strong relationships with senior executives, economic buyers, and key stakeholders.
- Drive account retention, revenue growth, and long-term customer value.
EXECUTIVE RELATIONSHIPS & CUSTOMER STRATEGY
- Serve as a trusted strategic advisor to enterprise customers, connecting Higgsfield's AI capabilities to their broader business and creative objectives.
- Engage with senior leaders across Marketing, Creative, Brand, Innovation, and Technology organizations.
- Understand customer priorities, organizational structures, and decision-making processes to identify opportunities for strategic growth.
- Lead executive business reviews, strategic planning sessions, and customer engagements.
- Translate emerging GenAI capabilities into compelling business cases, measurable outcomes, and enterprise-wide opportunities.
- Build multi-threaded relationships to strengthen account engagement and establish Higgsfield as a long-term strategic partner.
ENTERPRISE GROWTH & GTM STRATEGY
- Partner closely with Product, Engineering, Marketing, Customer Success, and Executive Leadership to deliver exceptional outcomes for strategic customers.
- Identify opportunities for broader enterprise deployments, new workflows, and strategic commercial partnerships.
- Surface customer insights and market trends to inform product priorities and enterprise GTM strategy.
- Collaborate with leadership on high-value commercial opportunities, executive engagements, and strategic account initiatives.
- Maintain strong operational discipline around account planning, pipeline management, forecasting, and revenue performance.
- Help establish scalable best practices for managing and growing Higgsfield's most important customer relationships.
Requirements:
- 8+ years of experience in enterprise sales, strategic account management, or enterprise business development, with demonstrated ownership of large, complex customer relationships.
- Proven track record of growing and retaining high-value enterprise accounts, including significant upsell, cross-sell, and expansion revenue.
- Experience managing strategic relationships with Fortune 500 companies, global brands, or similarly complex enterprise organizations.
- Demonstrated ability to build trusted relationships with C-suite executives, senior business leaders, and enterprise decision-makers.
- Strong commercial judgment, with experience negotiating complex enterprise agreements and navigating multi-stakeholder buying processes.
- Experience developing strategic account plans, identifying whitespace opportunities, and expanding adoption across large organizations.
- Background in enterprise SaaS, AI/GenAI, creative technology, marketing technology, or usage-based software strongly preferred.
- Ability to translate sophisticated technology capabilities into business value for both technical and non-technical stakeholders.
- Strong executive presence, communication, presentation, and negotiation skills.
- Highly entrepreneurial, self-directed, and comfortable operating in a fast-paced, evolving startup environment.
- Strong analytical and operational skills, including account forecasting, revenue planning, and pipeline management.
Compensation & Benefits:
- We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth.
- Base Salary: The anticipated salary range for this role is $220,000 - $275,000, depending on experience, skills, scope, and location.
- Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield AI’s long-term growth.
- Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks.
- The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team.
- Significant ownership, direct impact, and opportunities for professional growth as the company scales.
We are open to individuals in NYC, SF, LA with occasional business travel to our San Francisco office required for team meetings, planning sessions, company events, and other in-person collaboration. Team members are expected to be available during agreed working hours and maintain sufficient overlap with the relevant team’s time zone. While we work remotely, we value active communication, responsiveness, and close collaboration across teams.
Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.
Location: London, United Kingdom
Workplace: hybrid
About The Role:
We're looking for a Lead/Head of Transaction Monitoring (Enterprise) to own how Paysend detects suspicious activity across all products, corridors and payment methods, and to lead the TM Enterprise Program that modernises it.
Objective and Key Results
Objective (Q4 2026):
AI-Powered Enterprise Financial Crime: build scalable, risk-based transaction monitoring
Enterprise clients can submit legitimate transactions with minimal friction, suspicious transactions are correctly identified and declined, unnecessary RFIs are minimised, and transaction-monitoring performance is measurable and continuously optimised.
Metrics clearly separate client-generated risk, Financial Crime controls and downstream payout execution, so TM declines are not confused with prefunding, network or technical failures, and stages reconcile without double-counting.
Key Results you will be accountable for
% Confirmed Fraud Rate of Enterprise-Initiated Transactions:
Confirmed fraud transactions divided by total enterprise-initiated transactions, broken down by client, typology, transaction type and destination, and confirmed vs. suspected fraud. Gives clients an evidence-based view of the quality of the volume they submit.
% Legitimate Transaction Straight-Through Processing Rate:
Legitimate transactions processed without an RFI divided by total legitimate transactions submitted. The central measure of balance between risk protection and customer friction.
% Enterprise TM Decision Quality:
Combines confirmed-fraud prevention rate (stopped before payout), false-positive rate, and control coverage of material enterprise TM risks by documented, approved and tested controls.
% Enterprise TM Investigation Efficiency:
Median RFI time to resolution, % resolved within SLA, % with a clear documented decision, % outstanding beyond SLA, and RFI backlog and ageing.
What you will own
KRs and Initiatives:
Own and deliver the Enterprise TM KRs and Initiatives, from definition and prioritisation through delivery, measurement and reporting to senior leadership.
TM Enterprise Program:
Lead the TM Enterprise Program end to end: scope, roadmap, milestones, budget, dependencies, risks and governance.
TM framework:
Own the enterprise-wide TM framework: scenario and rule coverage, thresholds, risk-based calibration, model governance and the rule lifecycle (design, test, tune, retire).
Effectiveness and KPIs:
Own the KPI and MI framework for detection effectiveness, alert quality, false positives, SAR/STR conversion, alert volumes, SLAs and team productivity.
Regulatory assurance:
Ensure TM meets AML/CTF and regulatory expectations across all licensed jurisdictions, and own TM readiness for audits, regulator reviews and partner due diligence.
Team leadership:
Build, lead and develop a high-performing TM team spanning analysts, rule owners and data/automation specialists.
What you'll do
Define strategy and OKRs:
Set the enterprise TM strategy and multi-year roadmap, aligned to company OKRs and Paysend's financial crime risk appetite; translate it into measurable KRs and a prioritised initiative portfolio.
Drive delivery:
Lead initiative delivery as accountable owner: run planning, steering committees and status reporting; remove blockers, manage trade-offs and escalate material risks early.
Strengthen detection:
Oversee translation of typologies, risk assessments and regulatory change into detection scenarios and rules; ensure backtesting, simulation and impact measurement happen before release.
Optimise performance:
Drive tuning using alert, case and SAR feedback to improve catch rate and reduce noise, with clear trade-off thinking across risk, cost and customer friction.
Automate and scale:
Replace manual analysis and reporting with scalable pipelines and self-serve dashboards; apply advanced analytics and ML-based anomaly detection where they add value.
Collaborate:
Partner across the business:
Product and Engineering:
requirements, data needs, TM platform and rules-engine enhancements.
Compliance and MLRO:
policy alignment, risk assessments, regulatory reporting, audits and regulator engagement.
Network and Partners:
Visa and Mastercard program requirements, thresholds and monitoring; bank and partner due diligence.
Operations and Investigations:
alert-handling workflow, feedback loops, capacity and quality.
Data and Analytics:
data quality, lineage, model validation and reporting.
Govern and report:
Run the TM governance cadence: rule-change approvals, performance reviews, documented decisions and rationale, and regular reporting to senior management and committees.
Stay ahead of regulation:
Stay current on AML/CTF regulation, FATF guidance, PSD2/SCA and card scheme rules, and embed changes into controls and the roadmap.
Manage vendors and budget:
Manage vendor, tooling and budget for TM platforms, data sources and analytics.
What you'll need
Substantial experience in transaction monitoring and AML/financial crime, ideally in fintech, payments, money transfer or high-volume B2C, including leading a TM function or a large TM transformation.
Proven track record owning OKRs/KRs and delivering multi-stream programs or initiatives, with strong planning, prioritisation and senior stakeholder management.
Deep knowledge of TM scenario and rule design, tuning, threshold calibration, model governance and effectiveness testing, including backtesting and below-the-line testing.
Strong understanding of AML/CTF regulation and expectations (e.g., FCA, EU AMLD/AMLR, FATF) and experience supporting regulator and auditor reviews across multiple jurisdictions.
Solid grasp of fraud and financial crime typologies in cross-border payments, and awareness of emerging trends.
Working knowledge of Visa and Mastercard monitoring programs and payment methods (cards, tokenization, Apple Pay, Google Pay, A2A, wallets).
Data fluency: able to interrogate SQL/BI outputs, define KPIs and challenge analytical approaches; understanding of modern data platforms and automation.
Experience leading and developing teams, including hiring, coaching and building clear ownership models.
Ownership mindset: you spot problems, propose solutions and see them through without waiting to be asked.
Clear communication and documentation, able to explain risk and data-driven decisions to technical and non-technical stakeholders, including executives.
Nice to have
Experience with rules engines, decisioning platforms or TM vendor solutions (selection, implementation, migration).
Experience applying advanced anomaly detection (statistical, unsupervised or machine learning) to AML and fraud use cases, including model risk management.
Hands-on SQL/Python background and experience building BI dashboards (Looker, Tableau, Power BI or similar).
Familiarity with how financial crime operations run day to day, including case management and SAR/STR filing.
Relevant certifications such as ACAMS, ICA or equivalent.
What you'll achieve
First 3 months
Understand our products, corridors, TM framework, rules engine, data landscape and current KR/Initiative portfolio.
Assess current TM coverage, effectiveness and regulatory exposure; identify the highest-priority gaps.
Build relationships across Compliance, Product, Engineering, Network, Operations and Data.
Confirm the TM Enterprise Program plan, governance and a baselined KR scorecard.
By 6 months
Run the TM Enterprise Program on an agreed roadmap with clear ownership, milestones and steering cadence.
Launch a reliable KPI and MI suite for detection effectiveness, alert quality and team throughput.
Deliver the first material coverage and tuning improvements, with documented performance reviews.
Have the team structure and key hires in place.
By 12 months
Deliver the committed KRs and Initiatives, with measurable gains in detection effectiveness, false positive rate and operational efficiency.
Be the recognised owner of enterprise TM, with a clean audit and regulator-ready evidence trail.
Have introduced new detection approaches and automation that strengthen our compliance posture and scale with growth.
Why Join Paysend?
Make a Global Impact:
Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally.
Own Meaningful Outcomes:
We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand.
Grow with Us:
As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies.
Collaborate with Exceptional People:
Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers.
Move Fast and Make Things Happen:
We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results.
Be Part of Our Journey:
We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.
УдалённоseniorUnited States; Charlotte; Chicago; Seattle; Austin; Atlanta; New York; Boston; San Francisco
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УдалённоIndia; Australia; Japan; Singapore; Philippines; New Zealand
УдалённоUnited States; Panama; Guatemala; Mexico; Costa Rica; Canada
We are unable to provide visa sponsorship or relocation for this role
San Francisco; London; Seattle; New York City; Toronto
География найма не уточнена
УдалённоseniorGlobal; Ireland; Portugal; United Kingdom; Spain; Brazil; Colombia; South Africa; Canada; To create the best experience for our new hire, this role requires you to be based within UTC−6 to UTC+3
УдалённоRemote, USA; Team members are expected to be available during agreed working hours and maintain sufficient overlap with the relevant team’s time zone
ГибридleadLondon, United Kingdom
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