Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute.
As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend.
You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment.
This is a pipeline role feeding four areas.
Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:
Data platform
Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need.
Planning
Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other.
Efficiency
Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number.
Attribution and forecasting
Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO.
Key responsibilities
Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs.
Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale.
Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline.
Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration.
Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable.
Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company.
What you bring
A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor.
Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable.
Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations
Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on.
Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction.
Preferred qualifications
Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here.
Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads.
Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements.
Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers.
Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level.
Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed.
Storage efficiency, retention, and lifecycle program experience at exabyte scale.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Dubai; London, England, United Kingdom
Workplace: hybrid
We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.
We are looking for a
Senior Product Owner
to build how Capital.com detects and prevents fraud and money laundering as we expand into new financial products and markets.
You will own the roadmap for fraud prevention and transaction monitoring. That covers the rules, models and systems that flag risky activity, and the tools teams use to review it. You’ll use AI to clear routine alerts automatically, so people can focus on the cases that need a person. You’ll work closely with Compliance, Operations, Data, Engineering and the Financial Investigation Unit. Because this is a new capability, you’ll shape it from the ground up and, over time, build the team that runs it.
Responsibilities:
Own and prioritize the product roadmap for fraud prevention and transaction monitoring within the agreed financial crime strategy.
Translate fraud threats, money-laundering risk scenarios and control requirements into clear product requirements, detection logic and acceptance criteria.
Lead the development of rules, models and preventive controls with Engineering, Data, Operations and Compliance. Apply AI and machine learning where they demonstrably improve detection, prevention and case handling.
Establish reliable, timely data inputs for detection. Identify gaps in data quality, availability or coverage and prioritise their resolution.
Evaluate proposed controls using historical data and realistic test scenarios. Assess detection coverage, missed activity, false positives and the impact on legitimate customers.
Deliver changes through the agreed approval process, with clear testing, staged rollout, monitoring and rollback plans.
Measure performance after release, including fraud losses, detection effectiveness and customer friction. Use the findings to improve controls without treating fewer alerts as proof of success.
Adapt fraud prevention and transaction monitoring capabilities to emerging threats, new products, markets and transaction types. Make readiness requirements and unresolved coverage gaps visible before launch.
Coordinate delivery across product teams and control owners, making priorities, dependencies and trade-offs clear and escalating decisions that require accountable leadership.
Requirements:
5+ years in product ownership or product management, including end-to-end ownership of a product roadmap at a senior level.
Strong financial crime experience covering both fraud and money laundering, gained in fintech, banking, payments or another regulated business.
Hands-on experience building detection capabilities such as rules, models or transaction monitoring systems.
Experience using AI or automation to reduce manual alert review, for example automated customer outreach, while keeping people on complex cases.
Strong data skills: you understand where data comes from and how reliable it is, and you can evaluate detection using historical data, coverage and false-positive analysis.
Experience releasing changes to live controls safely, with testing, staged rollout, monitoring and rollback.
Excellent stakeholder management, including working with Compliance and control owners through approval processes.
Experience building or growing a product team is desirable.
What you will get in return:
Competitive Salary:
We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
Work-Life Harmony:
Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid
Generous Time Off:
Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
Employee Referral Program:
Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
Comprehensive Health & Pension Benefits:
From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
Workation Wonderland:
Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
Volunteer Days:
Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.
Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.
Location: Dubai; London, England, United Kingdom
Workplace: hybrid
We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.
We are looking for a
Senior Product Owner
to build the products behind our new Financial Investigation Unit as we expand into new financial products and markets.
You will own the roadmap for investigation case management and customer offboarding. You’ll use AI to give investigators a complete picture of each case faster, and turn approved decisions into workflows that run reliably. You’ll work closely with investigators, Compliance, Operations and Engineering. Because this is a new capability, you’ll shape it from the ground up and, over time, build the team that runs it.
Responsibilities:
Own and prioritise the product roadmap for financial investigation case management and customer offboarding, focusing on investigation quality, timely decisions and reliable execution.
Translate investigator needs into clear product requirements and acceptance criteria. Design workflows that make case ownership, status, next actions and escalation routes clear.
Lead the development of AI and automation to assemble evidence, support analysis and reduce manual investigation work. Ensure outputs are traceable and subject to appropriate human review and approval.
Bring relevant information together across systems, with clear sources and appropriate access controls. Enable complete, auditable case records that preserve evidence and reasoning through reviews and handovers.
Translate approved offboarding procedures into reliable workflows with operational and control owners. Define approvals, dependencies, sequencing and exception handling, with clear confirmation that required actions have been completed.
Deliver changes with Engineering through testing, staged rollout and monitoring. Test interrupted processes, duplicate requests and unavailable dependencies, with recovery routes and records of completed and outstanding actions.
Measure investigation quality, case rework, avoidable delays and offboarding failures alongside user feedback. Use the findings to improve performance without treating faster case closure as proof of quality.
Prepare Operations and Compliance for product changes, support adoption and resolve issues after launch. Feed quality reviews, audit findings and recurring operational problems into the roadmap.
Requirements:
5+ years in product ownership or product management, including end-to-end ownership of a product roadmap at a senior level.
Strong financial crime experience across investigations, AML, fraud or customer offboarding, gained in fintech, banking or another regulated business.
A track record of building workflow or case-management products for operational users.
Experience shipping AI or automation that cut manual work while keeping people in charge of key decisions.
Ability to write precise requirements and work closely with engineers on complex, failure-tolerant workflows.
Strong analytical skills, with experience defining metrics and using data to set priorities.
Excellent stakeholder management, including working with Compliance and control owners on regulatory requirements.
Experience building or growing a product team is desirable.
What you will get in return:
Competitive Salary:
We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
Work-Life Harmony:
Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid
Generous Time Off:
Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
Employee Referral Program:
Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
Comprehensive Health & Pension Benefits:
From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
Workation Wonderland:
Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
Volunteer Days:
Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.
Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.
Location: Brisbane
Workplace: OnSite
ABOUT HALTER
At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard.
We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB.
To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/.
ABOUT THE ROLE:
We're looking for a Senior Content Specialist who's great at one thing above all else: telling producers' stories in a way that makes other producers want Halter, and knowing which stories are working.
You'll own the words, stories and video that bring Halter to life in Australia, from case studies and blogs to email, social and product launch content. You'll spend real time on farm with the people who use Halter every day, and turn what you hear into content that builds trust, drives leads and helps existing customers get more from Halter.
Your job is the content itself: the story, the voice, the craft and the read on whether it's landing.
WHO WE'RE LOOKING FOR:
- An experienced storyteller. You've got 5+ years in content writing and marketing, and a portfolio that shows you can turn complex ideas into stories people want to read and watch. Video experience is a plus.
- Deeply customer-led. You're energised by time on farm with beef and dairy producers. You ask good questions, listen properly and earn trust, then turn what you learn into commercial decisions about messaging, proof points and channels, not just generic content ideas.
- Data-curious and commercially minded. You care whether your content works, not just whether it's published. You know content's job is to drive leads and keep customers, and you use tools like Google Analytics, HubSpot and Webflow to make better calls.
- Smart with AI. You use AI tools to speed up research, drafting and production, and you know where they help and where a human touch matters more.
- Organised and self-directed. You can juggle case studies, launches, campaigns and day-to-day content without things slipping, and you know when to escalate and when to just decide.
- A great teammate. You thrive in a small, collaborative team, give and take feedback well, and help lift the work of the people around you.
BONUS EXPERIENCE
- Familiarity with agriculture - whether that's growing up on farm, working in the industry or marketing to producers.
- Working in a fast-growing tech or startup business.
WHAT YOUR DAY COULD LOOK LIKE:
- Owning content strategy in Australia. You'll build and own the content strategy, deciding which audiences, stories and formats we focus on and how content supports Halter Australia's revenue priorities. You'll also be the day-to-day guardian of brand and tone of voice for Halter messaging here. Working with Global Brand, you'll set a standard of excellence so everything we put out represents Halter at its best, while adapting to regional nuances so it sounds written for producers here, not translated for them.
- Bringing campaigns to life. You'll work closely with our Senior Campaigns Specialist, who owns the campaign strategy and brief. You'll own the craft: the messaging, copy, stories and video that deliver each campaign across channels. When you spot a better angle, or a story that deserves its own campaign, you'll bring it to the table.
- Build a strong pipeline of producer stories. You're deeply customer-led and love time on farm, interviewing producers to find what Halter really changes for them. You'll turn each story into content that answers the objections producers actually raise, like price, proof and the risk of switching, whether that's an editorial, a performance ad, social content or a brand asset. You own the storylines, messaging and copy, working with our creative team or freelancers on filming, editing and design.
- Creating content across every channel. You'll write the email that takes potential customers from first interest to sale and keeps existing customers up to date, the social content that shows what's actually happening on farm, and the product launch content that makes clear what's changed and why it matters. Your content will help define the category Halter is building, which goes well beyond virtual fencing.
- Building our social strategy. You'll build up Halter Australia's social strategy with in alignment with Global Brand, including what we post, how often and how it connects to campaigns, and you'll build a dedicated Australian presence. You'll keep it consistently active and responsive to the producers who engage with it.
- Data-led about what resonates. You'll track how content performs, from engagement and search traffic to email response and leads influenced, and use it to decide what resonates with producers and what we should do more or less of. You'll know which stories are working, why, and what that means for what we make next.
WHAT YOUR DAY COULD LOOK LIKE:
- The Integrated Marketing Lead. They set the integrated marketing strategy and own the full picture for Australia. You own the content and the organic growth that help deliver it.
- The regional marketing team. That's the Events team and the Integrated Marketing team, including the Senior Campaigns Specialist. Campaigns owns the strategy, plan and brief, and you own the words, stories and video that deliver it.
- Producers. You'll spend time on farm and on the phone with the people who use Halter, building the relationships that give us stories worth telling.
- Sales teams. They know what producers are asking, where they get stuck and what's coming next. You'll stay close to them so your content answers the questions that matter.
- The global marketing teams. That's Global Brand and Performance Marketing. You'll align with them on brand, messaging and product launches, and adapt it so it lands with Australian producers. Performance Marketing owns search and paid digital, so you'll work with them to find the search opportunities in Australia and write the content that
OUR BENEFITS:
- Importantly, we offer an inclusive and attractive remuneration package made up of salary, benefits and an employee stock ownership plan.
- Healthy body, healthy mind. We’re partnered with Medibank Health Insurance to support your well-being.
- Our personal growth is important. Halter offers an annual $1000 self-development budget to be used for anything that fuels personal growth.
- We offer 6 months of fully paid parental leave for primary caregivers, 4 weeks of fully paid secondary caregiver leave and many other parental benefits that support you and your family.
- Our time to recharge is valued, we’re offered wellness leave and unlimited paid annual leave.
OUR OFFICE FIRST APPROACH
Humans are wired for connection. Being office first is a core pillar of our culture because in-person connections drive your growth, learning, impact, and relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful work together.
We're office first, not office only. Working from the office is our default, but we flex when needed. We have a high-trust culture where everyone is trusted to do what's best for Halter.
Our office vibe is special, the high energy and spectacular people make work enjoyable. Your growth and impact are unlimited here, coming from solving problems, innovating, and constantly learning from each other.
HALTER IN AUSTRALIA:
Halter first entered Tasmania two years ago and today operates on over 30% of the state's dairy herd - a thriving customer base managed by a talented, local team. More recently, Halter has expanded across mainland Australia with the regulatory approval of virtual fencing, and is now available for beef and dairy operations in Queensland, NSW, Victoria, South Australia and the Northern Territory. Halter is also preparing to launch operations in West Australia in the coming months. Australian farmers have welcomed Halter with open arms, and we’re fielding strong demand from farmers throughout Australia who are keen on Halter.
JOIN OUR TEAM
Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit!
If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch!
Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/.
WHY OUR TEAM LOVES WORKING AT HALTER:
- Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations.
- Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems.
- You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund.
- This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"
Location: Tokyo, Japan
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
In this role, you'll lead a team of Account Executives driving the adoption of safe, frontier AI with top enterprises across Japan. This role is critical to Anthropic's Japan expansion.
You'll leverage your leadership expertise to propel revenue growth while developing a high-performing team. Working closely with Applied AI Engineering, Product, GTM, and Marketing teams, you'll help enterprise customers deploy AI solutions and refine our market positioning for Japan.
The ideal candidate will have a deep understanding of Japanese business culture, a passion for developing people, and the ability to navigate Japan's consensus-driven sales environment.
Responsibilities:
Build and lead a high-performing team of Account Executives, providing coaching, mentorship, and guidance to drive team success
Develop and implement sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed team revenue quotas
Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems
Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with focus on Japanese enterprise buying cycles and decision-making processes
Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales
Enable your team to have credible technical conversations about AI applications while maintaining appropriate guardrails
Build strong partnerships across the organization to drive strategic initiatives
Identify and execute on new market opportunities and use cases for Anthropic's AI solutions across enterprise segments
Help your team navigate complex enterprise stakeholder ecosystems including executives, IT departments, and procurement offices to build consensus
You may be a good fit if you have:
10 years of enterprise sales experience, preferably driving adoption of SaaS or emerging technologies
3+ years of sales leadership experience within the Enterprise segment
Proven track record of building and leading high-performing sales teams selling into large enterprises, with demonstrated success in coaching and developing AEs
Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations
Strong technical acumen with ability to enable credible AI conversations
Track record of successful partnership with technical teams throughout the customer journey
Deep understanding of enterprise buying cycles, procurement frameworks, and common pain points across industries
Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives
Experience managing complex enterprise sales cycles and helping AEs secure strategic deals
Excellent communication skills and ability to build relationships across all levels, from individual contributors to C-suite executives
Strategic approach to market analysis combined with tactical excellence in execution
Passion for AI technology and commitment to its safe, responsible development
Business-level Japanese required; English proficiency strongly preferred
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Almaty, Kazakhstan
Workplace: OnSite
Almaty, Kazakhstan · Trust & Safety Engineering
Why this role exists
Our ML and analytics teams already work on fraud detection and risk analysis. This role owns the backend that turns their signals into reliable protections across accounts, credits, payments, and generation. You'll integrate risk checks into product flows, build enforcement services and operator tools, and make sure controls work correctly in production. We're looking for an engineer we can trust to take a backend problem from an unclear starting point to a working solution.
What you'll actually do
- Risk integrations: connect existing ML scores and risk signals to account creation, credit usage, payments, and generation flows, with clear timeouts and fallback behavior.
- Enforcement services: implement configurable rules, rate limits, account restrictions, and credit or payment controls with consistent behavior across services.
- Operator tooling: build APIs and workflows for reviewing cases, inspecting decision history, and safely applying or reversing restrictions.
- Production reliability: handle retries, duplicate events, concurrent requests, and safe rollouts; add monitoring and audit trails so failures can be traced and fixed.
- Work in other teams’ codebases to add signals or interventions without hurting their stability or architecture.
- Ownership: clarify the control with ML, analytics, and operations → scope the smallest useful implementation → ship → verify production behavior and review impact with the team. Our release cycle is days, not quarters, so your first shipped protection 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 backend services: APIs, data models, queues, transactions, idempotency, and concurrency. You can integrate external services and debug failures across the request and event lifecycle.
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 work with ML, analytics, and operations to turn risk requirements into clear backend behavior. You use operator feedback and customer cases to improve controls and learn unfamiliar systems quickly.
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 problems where requirements stay stable after launch.
- You prefer work centered on training models or producing analysis rather than building and operating backend services.
Nice to have
- Fraud prevention, payments risk, or platform abuse experience.
- Integrating risk-scoring services or building rules engines and rate limiters.
- Case management, appeals, and risk operations tooling.
- Familiarity with Stripe.
- Experience building real-time scoring, graph-based account linkage systems.
- Python/Go experience.
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: take an existing risk signal and an operator need, scope a backend protection, and work through failure cases and effects on legitimate customers.
5. Offer.
What we offer
Competitive base in USD, equity, relocation support, and ownership of protections that preserve both company revenue and customer trust.
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.
Location: Mexico (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are looking for experienced Government professionals to support a cutting-edge AI benchmarking project focused on Mexican public sector environments. As a Subject Matter Expert, you will create and review realistic, high-quality scenarios that reflect operational, administrative, compliance, public safety, social service, and community engagement challenges across government institutions. Your expertise will help ensure AI systems understand and respond accurately within highly regulated and citizen-focused environments.
WHAT YOU’LL DELIVER
- Design realistic government scenarios in Spanish or English grounded in Mexican public sector contexts (e.g., administrative operations, social services, compliance reviews, public safety coordination, community programs, citizen service delivery)
- Adapt structured evaluation rubrics for operational problem-solving, policy interpretation, case management, and decision-making tasks
- Review AI and human-generated responses for factual accuracy, procedural compliance, cultural appropriateness, and operational realism
- Contribute to “gold standard” solutions reflecting public sector and government best practices
QUALIFICATIONS
- Native Spanish with strong professional English proficiency
- 5+ years of professional experience in government, public administration, social services, public safety, compliance, or community programs
- Background in one or more relevant roles: Administrative Services Management, Child/Family/School Social Work, Compliance & Regulatory Affairs, Police or Public Safety Supervision, Recreation & Community Services, or related government functions
- Strong understanding of public sector workflows, operational procedures, regulatory requirements, and Mexican government environments
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
What to Consider Before Applying
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain.
Step 2: Register in Tipalti to ensure a smooth payment process.
Step 3: Finalize onboarding and join the Production team.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Own the value plan for each account in your portfolio, connecting the business problem that led the customer to buy Mixpanel with the outcomes they measure. Build relationships with business and technical stakeholders, aligning Mixpanel's capabilities to what customers care about most.
Location: Remote (United States)
Thank you for considering Tailscale. If this job description resonates with you, please apply.
Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications.
We encourage you to help us break that statistic!
About Tailscale
Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital.
About the Role
Tailscale makes it simple for organizations to securely connect people, devices, and workloads anywhere in the world. As adoption grows within the world’s largest enterprises, we’re launching a Strategic Sales team to support our next stage of growth.
As a founding Strategic Account Executive, you’ll own a focused portfolio of organizations with 10,000+ employees, including Fortune 1000 and Global 2000 companies. You’ll lead complex opportunities from initial engagement through close and expansion, building executive relationships and connecting customer priorities with Tailscale’s capabilities.
You’ll help define how we win in this market - developing outbound strategies, testing new approaches, and creating a playbook for future growth. Reporting to the Director of Strategic Sales, you’ll join a small, highly collaborative team and partner closely with executive leadership and teams across the business.
Key Responsibilities
Own account strategy: Build account plans that connect customer priorities with opportunities across business units, geographies, and use cases
Create pipeline: Drive personalized outbound prospecting, partnering with SDRs and Marketing on coordinated account-based campaigns
Lead complex deals: Manage opportunities through negotiation and close, navigating long sales cycles, competitive pursuits, and complex buying processes
Build executive relationships: Earn trust with CIOs, CISOs, CTOs, and senior technical and business leaders while developing champions across the organization
Bring the right team together: Partner with Customer Engineering, GTM Engineering, Customer Success, Product, Engineering, executive leadership, Legal, and Finance to win and grow strategic accounts
Shape the playbook: Test approaches, share what works, and bring customer feedback to teams shaping Tailscale’s product and enterprise strategy
Execute with discipline: Maintain clear qualification, accurate forecasts, and actionable account and opportunity plans
What We Are Looking For
5+ years of success as a top-performing enterprise or strategic seller in early stage, high-growth environments
Proven success selling to organizations with 10,000+ employees and closing complex six and seven-figure SaaS deals
Proven track record of consistently achieving or exceeding annual performance targets, with demonstrated YoY growth and sustained results
The ability to earn executive trust, engage technical stakeholders, and navigate procurement, legal, and financial reviews
Strong business judgment, clear written and verbal communication, and a collaborative, accountable approach
Comfort with ambiguity and enthusiasm for building a sales motion while carrying a quota
Demonstrated commitment to CRM hygiene, including accurate opportunity management, pipeline tracking, and forecast reliability
Proven ability to lead value-based sales conversations and quantify business impact to build compelling ROI-driven business cases
Preferred experience:
Serving as an early sales hire or helping build a new enterprise sales motion
Candidates must have strong technical acumen. Background in selling infrastructure, networking, cybersecurity, developer tools, or cloud software is a bonus
You’ll Thrive Here If You…
Enjoy building from the ground up - creating account strategies, testing approaches, and shaping a playbook as you go
Love opening doors and winning complex enterprise deals through executive relationships, technical curiosity, and teamwork
Are energized by ambiguity and take initiative to create structure and momentum
Bring the same focus and discipline to building pipeline as you do to navigating complex negotiations and closing strategic deals
Want to help define how Tailscale wins and grows its largest enterprise customers
As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set.
For this position, our pay ranges reflect target OTE (on target earnings), inclusive of base salary and variable compensation tied to the attainment of quarterly sales targets.
US Pay Range (OTE)
$350,000
—
$350,000 USD
What We Offer
An inclusive, flexible environment where you can be your authentic self.
We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life.
A competitive total compensation package.
This includes a base salary, an equity incentive plan and variable commission (for quota-based roles).
Comprehensive group benefits with no waiting period.
Take advantage of coverage for health, vision, dental, and more for you and your family!
Remote first company
—most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description.
Employer-funded retirement contributions.
Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation.
Connect with other Tailscalars IRL.
Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration.
Support for your personal and professional development.
Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities.
Paid time off and a healthy work-life integration.
Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world!
A build-your-own home office setup.
You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own.
Paid parental leave program
. We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents).
Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter.
Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people.
Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit
https://tailscale.com/scam-awareness
.
Location: San Francisco; New York; Orlando; Cambridge; Santa Monica; Denver; Irvine; Tucson; San Diego; Greenville; Atlanta; Nashville; Sacramento; Alexandria; Topeka, KS; Reno; Philadelphia; Las Vegas; Jacksonville; San Jose; Memphis; Houston; Austin; Boston; Baltimore; Dallas; Chicago; Raleigh; Miami; Washington D.C.; Palo Alto; Atlantic City; Scottsdale; Phoenix; Seattle; Tampa; Los Angeles; New Jersey
Workplace: Remote
Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit.
ABOUT THE COMPANY
Our client is a seed-stage event commerce company with $16M in funding and backing from Andreessen Horowitz (a16z). The platform combines tickets, merchandise, drinks, tables, and sponsorship placements with affiliate tracking and automatic commission payouts. Organizers can manage more of their event business in one place and reward the people driving sales.
THE MISSION
Help organizers earn more from every event and make it easier for the people behind local events and nightlife to grow their businesses.
THE OPPORTUNITY
As a Business Development Manager, you’ll help grow the local events and nightlife business by turning your relationships with promoters, venue owners, and organizers into new accounts. You’ll introduce a platform that gives them more ways to monetize their events, negotiate commercial terms, and own the customer relationship from first conversation through launch.
Reporting to the Head of Business Development, you’ll work directly with leadership and help shape the sales approach as the business grows. You’ll have autonomy over your pipeline and the opportunity to build on the company’s visibility across music and entertainment, including Lil Wayne featuring the platform in his Instagram bio and a signed WWE contract.
WHAT YOU'LL DO
- Bring on new organizers and venues through your existing relationships.
- Run product demos, build a compelling business case, and close deals.
- Negotiate commercial terms, including fee splits, guarantees, and exclusivity.
- Support onboarding and help new accounts get their first events running.
- Grow your pipeline through referrals, targeted outbound, and direct outreach.
- Build account plans grounded in realistic ticketing volume, current provider relationships, and contractual commitments.
- Stay close to customers after signing and help resolve issues that affect adoption or the relationship.
WHAT YOU BRING
- 2–6 years in business development, partnerships, sales, or commercially focused account management or customer success within ticketing, events, or nightlife.
- An active network of local venue owners, promoters, or organizers, including 10–20 people you could personally call when you start.
- Direct access to business decision-makers and a clear understanding of how you could help their businesses.
- Examples of business you personally sourced, negotiated, and closed.
- Confidence leading demos, discussing commercial terms, and asking for the deal.
- Working knowledge of ticketing economics, including fee splits, guarantees, advances, exclusivity, rebates, and bar minimums or splits.
- Experience building pipeline beyond your initial network through outbound prospecting and referrals.
- Availability to work full-time from the United States.
WHY JOIN?
- Compensation: 100K-200K OTE plus equity, with flexible packages that can include salary plus equity or a lower base with higher commission.
- Funding and backers: Join a seed-stage company with $16M in funding and backing from a16z.
- Experienced founders: Work with a team whose background includes building Lime and early roles at Google and Pinterest.
- Commercial autonomy: Own sourcing, negotiation, closing, and post-sale support, with direct leadership access and minimal approval layers.
- Remote flexibility: Work from anywhere in the United States. Client-event travel is encouraged, not required.
- Team connection: Attend an optional monthly on-site “power week,” with room and board covered.
- Visa support: Visa transfers and sponsorship considered.
INTERVIEWING PROCESS
- Recruiter Screen
- Intro call with the Hiring Manager
- Conversation with a BD team member
- Take-home assignment
- Final presentation
- Offer
We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.
Location: San Francisco, CA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Integrity and Authenticity Policy Manager, you will be responsible for developing, refining, and maintaining policies that prevent the misuse of AI systems for deception, manipulation, and unauthorized monitoring at scale. You will serve as the policy owner for risks related to inauthentic behavior, influence activity, surveillance, and the profiling of individuals and groups, and you will help shape policy frameworks across several areas, including authenticity, information integrity, and privacy and surveillance.
Your initial focus will be on translating the Integrity and Authenticity risk framework into clear, enforceable policies, ensuring policy language addresses emerging threats identified by partner teams, and establishing guidelines that enable consistent enforcement decisions. Many of the most serious harms in this space begin with upstream steps that look routine on their own, such as compiling records about a person, automating account creation, or sorting users by inferred identity. Part of your work will be defining where those steps become prohibited. The role will expand as AI capabilities advance. Safety is core to our mission. You will help ensure our products cannot be used to deceive people at scale, monitor and profile people without their knowledge or consent, or sort and target populations based on sensitive characteristics.
Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature, as well as detailed descriptions of privacy violations, surveillance abuses, and deceptive campaigns targeting vulnerable people.
Key responsibilities
Develop and define policy boundaries for covert monitoring, tracking, and surveillance across different contexts, drawing the distinction between malicious behaviors and compliant dual-use scenarios
Write policy guidance on facial recognition, voice cloning, and geolocation inference, specifying which uses require consent and which are prohibited outright
Map the surveillance lifecycle, from target selection and data collection through analysis and covert deployment, and define the policy line at each stage so that interventions can occur early in the chain
Design and oversee evaluations that measure the model's capability to support social media monitoring, people-finding, predictive profiling, and the identification or tracking of specific people, to build, develop and improve safeguards with cross-functional partners to prevent malicious behaviors
Write and refine external-facing Usage Policy language and develop training guidelines, assessment rubrics, and evaluation protocols for enforcement teams, with emphasis on indicators of covert monitoring and population-level targeting
Validate enforcement decisions and automated assessments, provide policy guidance on complex edge cases such as investigative research into surveillance tools, coordinate with civil society, privacy experts, threat intelligence researchers, and academics, and serve as the escalation point for complex integrity and surveillance cases
Minimum qualifications
Working knowledge of how deceptive campaigns and covert monitoring operate in practice, including account networks, bot operations, data aggregation pipelines, and attribution methods
Familiarity with surveillance technologies and their misuse, including social media monitoring tools, people-search services, location tracking, spyware, facial recognition, and open-source intelligence techniques used against individuals
General knowledge of the global regulatory landscape around data protection, privacy, platform regulation, and digital services accountability
Strong policy writing skills, with the ability to translate complex threat frameworks into clear, enforceable guidelines
Experience designing policies and workflows that enable both clear human enforcement decision-making and technical implementation in ML classifiers and detection pipelines
Strong collaboration skills and extensive experience partnering with Engineering, Data Science, Legal, Threat Intelligence, and Policy teams on cross-functional initiatives
Excellent written and verbal communication skills, with the ability to explain deceptive tactics, surveillance methods, and policy rationales to diverse audiences, including non-specialists and policymakers
Preferred qualifications
5+ years of experience in policy development, trust and safety, threat intelligence, or platform integrity, with hands-on work on inauthentic behavior, surveillance-related abuse, or data misuse
Experience in privacy policy, privacy engineering, or data protection work, including familiarity with privacy impact assessments and data minimization principles
Experience in intelligence roles, state-aligned monitoring operations, or covert data collection campaigns
Experience investigating inauthentic networks, covert monitoring, or surveillance abuses at a platform, research organization, or government body
Background in digital forensics, open-source intelligence, or threat attribution
Knowledge of persuasion theory, cognitive biases, and deceptive communication techniques, including social engineering and pretexting methods
Familiarity with human rights and privacy frameworks as they apply to surveillance, including protections for journalists, activists, and marginalized communities
Experience with trust and safety operations involving content moderation evasion, bot detection, or platform scraping enforcement
Experience working with EU institutions, regulatory bodies, or policy organizations on AI governance or digital platform regulation
Experience conducting adversarial testing, red teaming, or vulnerability assessments for AI systems or platforms, particularly for misuse involving monitoring or profiling
Familiarity with generative AI capabilities and an understanding of how LLMs can be used for synthetic personas, social engineering, predictive profiling, or surveillance at scale
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:
$245,000
—
$285,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Lanham, MD
Position Purpose
The Rapid Response Nurse is part of a multidisciplinary team (Respiratory Therapist, X-Ray, and Lab) and when necessary will consult with other medical personnel to determine and administer interventions and treatments for patients who manifest potential lifethreatening symptoms. Assists the primary Nurse in assessing and stabilizing the patient’s condition and communicates to the patient’s attending physician to determine the patient’s care plan and if the patient should be transferred to a higher level of care.
Role Specific Competencies
1. Adheres to the purpose and objectives of nursing practice of the Department of Nursing Services, utilizing approved protocols to intervene in urgent situations on the patient’s behalf.
Collaborates with the patient’s primary nurse on the status of the patient requiring the Rapid Response Nurse. Rapid Response nurse will assess patient with the primary care nurse.
Must be knowledgeable in SBAR (Situation, Background, Assessment, and Recommendation) method to communicate information about the patient.
Receives report from the Primary Nurse on the status of the patient requiring “Rapid Response”.
Documents an evaluation of the patient’s response to the interventions.
Communicates routinely with the physician to provide and gain information which will facilitate patient care.
2. Ensures patient safety.
Uses equipment and supplies as intended. Reports missing or malfunctioning equipment appropriately and following up on service.
Accept assignment and functions effectively and efficiently to ensure that patient needs are met.
Continually rounds in patient care areas and assists with the care of patients in non-emergent situations.
Provides education to staff on the underlying circumstances which changed the patient’s condition.
Mentors and supports staff in the execution of care to patients via skill enhancement / demonstration / education.
Supports patient throughput initiatives by directive, delegation or individual initiation.
3. Organizes and carries out emergency protocols.
Recognizes potentially life-threatening clinical situation and intervenes appropriately to prevent complications by implementing standing orders and protocols.
Rapid Response Nurse evaluates clinical findings in/or relating to patient history and ongoing therapies. Determine interventions in coordination with other medical personnel regarding treatment/ interventions.
Functions effectively in clinical emergencies, demonstrating an ability to implement Emergency Cardiac Orders appropriately.
Assist the primary nurse in assessing and stabilizing the patient’s condition and organizing information to be communicated to the patient’s attending physician. Rapid response nurse also communicates with the patient’s attending physician. Patient’s primary nurse documents the assessment and physician call in their patient’s nursing notes.
Utilizes Intensivist back-up in case attending physician does not respond and the patient is unsafe in their current setting.
Rapid Response Nurse is part of a multidisciplinary team (respiratory therapist, x-ray, and lab) and when necessary will consult with other medical personnel.
Roles as Rapid Response Nurse are to educate, mentor and provides support to the primary nurse. Stress to the primary nurse on the floor that they maintain responsibility for the patient.
Rapid Response Nurse will check every test that is ordered and provide that information to appropriate individuals attending physician and when necessary with the Intensivist.
If patient transferred to higher level of care, assist with the transfer. C ommunicate with family about what is going on with the patient.
If necessary, Rapid Response Nurse will assist in monitoring patient until patient is transferred. If necessary, communicate with the Administrative Nursing Supervisor and Charge Nurse in ICU.
Feedback to primary care nurse on patient condition and their role in improving the care of their specific patient.
If patient is not transferred, Rapid Response Nurse will recheck the patient an hour later after the initial call.
4. Participates in programs designed to increase the effectiveness of nursing practice.
Participates in the process of performance improvement related to Rapid Response Nurse. Data collection to include reasons for activation, location of call, interventions, the number of interventions, and outcome. Time of calls and number of calls for Rapid Response Nurse.
Attends at least one continuing education program, including unit in-services, mock drills, and external conferences.
Attend departmental and executive meetings to provide information as necessary. Collects and provides outcome data to stakeholders through graphs, e-mail communication and presentations. Gather statistics related to rapid response outcome versus codes, long term impact on nursing retention and financial benefits.
Qualifications and Experience
ACLS certification.
Current C PR/BLS is required.
Graduate from an accredited School of Nursing.
RN license in Maryland or compact state
Physical Requirements
Concentrates on moderate to fine detail for extended period of time.
Lifting and carrying items weighing up to 50 pounds.
Must be able to hear normal sounds and with some background noise.
Remembers schedules, tasks to be completed and where activities left off, etc.
Sitting, standing and walking for extensive periods of time.
Understands and can operate from the conceptual basis of tasks and activities.
Pay Range
$39
—
$58 USD
Luminis Health Benefits Overview:
• Medical, Dental, and Vision Insurance
• Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year)
• Paid Time Off
• Tuition Assistance Benefits
• Employee Referral Bonus Program
• Paid Holidays, Disability, and Life/AD&D for full-time employees
• Wellness Programs
• Employee Assistance Programs and more
*Benefit offerings based on employment status
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Location: New York; San Francisco Bay Area, California; Connecticut
Workplace: hybrid
Provectus is a Premier AWS Partner and an Anthropic Strategic Partner, featured in Forrester's AI Technical Services Landscape. We are roughly 420 engineers building production AI for enterprise clients in Financial Services, Insurance, Healthcare and Life Sciences, Retail, and Entertainment. We build custom generative AI and agentic AI systems on live client data, not off the shelf products and not demos.
We are hiring a Senior Solution/Product Owner for our AI Delivery practice, a forward deployed seat at the intersection of frontier AI and enterprise transformation. You will own both the story and the delivery for client engagements built on Cowork Activation, Agentic SDLC with Claude Code, and Blueprint Activation. In one week you might frame an ROI case for a CFO, align a healthcare or financial services stakeholder on a compliant GenAI rollout, and pair with a Forward Deployed Engineer to wire an MCP integration or ship a Claude Code harness.
What You Will Do:
Own client engagements end to end, from use case framing and business case through scoped delivery, first deployment, and measurable results
Define the value proposition, positioning, and reusable artifacts for your assigned Program or Blueprint, and align sales, delivery, and account teams around them
Build business cases covering market fit, ROI, and competitive positioning, and translate them into scoped statements of work
Run discovery, use case validation, design thinking workshops, and user research, and turn findings into demos and production deployments
Stand up Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation on live client data, driving rapid prototyping from use case to context to result
Build hands on with the Provectus delivery stack, including Claude, Claude Code, MCP servers, connectors, Skills, and plugins
Define product vision and roadmap for GenAI, LLM, RAG, and agentic AI engagements, and judge solution quality alongside architects and engineers
Break complex work into incremental releases, and balance delivery speed against technical debt and architecture
Lead Agile and Scrum execution across backlog, sprint planning, and release, following our Sprint, Enable, Realize engagement model
Define success metrics and analytics, and drive continuous improvement through root cause analysis
Contribute to the measurement framework behind our board level AI Maturity Index, ROI signal, and cost read
Support change management, stakeholder alignment, enablement, and reusable playbooks so wins repeat across accounts
What You Will Bring:
5 to 7+ years in product ownership, solution ownership, technical product management, or delivery leadership
3 to 5+ years working with AI/ML, generative AI, LLM applications, agentic systems, or data platforms
Deep domain expertise in Financial Services and Insurance and/or Healthcare and Life Sciences, ideally in a client facing or consulting context
Track record operating forward deployed or embedded with clients, as a Forward Deployed Engineer or Forward Deployed Expert, including hands on prototyping
Proven ability to take an offering, program, or product from zero to one and land it as real client delivery
Daily working use of Claude, Claude Code, and similar GenAI tools, including building your own skills, workflows, and productivity tooling
Comfort with MCP (Model Context Protocol) integrations, connectors, and custom agent harnesses
Understanding of GenAI and agentic patterns, including prompt engineering, RAG, embeddings, vector databases, and agent frameworks, deep enough to assess quality and translate it for executive stakeholders
Data fundamentals: what ETL/ELT, data modeling, and data governance mean in an enterprise context
Familiarity with AWS as a primary cloud platform, including Bedrock, and working awareness of MLOps and AI observability
Strong Agile and Scrum experience, and familiarity with outcome based, milestone priced consulting engagements
Design thinking, data driven decision making, and executive storytelling that holds up in front of a CFO or CIO
Enough engineering empathy to earn credibility with senior engineers and solutions architects on day one
Bias to action and structured problem solving in ambiguity
Based in the San Francisco Bay Area or New York City metro area, and authorized to work in the US without sponsorship
Nice To Have:
A second priority vertical beyond your primary Financial Services or Healthcare focus
Prior experience in an AWS Premier Partner or Anthropic partner environment
Claude Certified Architect, Seller, or Developer certification, or willingness to complete one early
Certifications such as CSPO, SAFe PO/PM, or AWS, Azure, or GCP
Software development or solutions engineering background
What We Offer:
Base salary range of $140,000 to $180,000 USD depending on experience
Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
The chance to shape how leading enterprises adopt AI, from strategy through first deployment
A forward deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Health, dental, vision, and 401(k) with company match
Unlimited PTO
Access to the latest AI tools and premium subscriptions
Internal training programs with full support for AWS and Claude certifications
Hybrid work in San Francisco or New York
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's Executive Briefing program brings senior leaders from our most strategic customers together with our spokespeople, product leaders, and researchers. As a Program Manager, Executive Briefings, you will run the program at one of our briefing centers and help build the global operating model that ensures an exceptional and consistent experience across the globe.
You will be the main program lead for your location and own briefings end to end: qualification and intake, agenda design, speaker selection, and day-of execution. You will set the objectives and design for each agenda and develop it jointly with Sales. You will also be the local account teams' go-to partner on how to use a briefing to move their most important opportunities forward.
You will manage the global workstream and set the standard every center follows, so customers get the same quality of briefing wherever they meet us. This is a highly cross-functional role. You will work with regional GTM leadership and the Office of the CCO on account selection and program strategy, with Product Marketing on content, with Solutions on technical deep-dives and demos, with Anthropic's executive bench on sponsorship and participation, and with Workplace, Security, and Revenue Operations on the experience and systems behind every briefing. You will be comfortable running every part of a briefing yourself and maintaining tight alignment with internal stakeholders.
Key responsibilities
Own the Executive Briefing program at your location: the local calendar, capacity planning, the request and intake process from Sales, and operating SLAs, applied against global criteria and regional allocation
Work with regional GTM leadership to decide which strategic accounts receive a briefing each quarter, hold the qualification bar, and proactively surface accounts that should be engaged
Lead discovery with account teams before each briefing to understand the customer's objectives, business context, and stage of evaluation, and turn that into a tailored agenda
Own agenda design and co-own agenda development with Sales for every briefing, including the narrative arc, discussion topics, speakers, and demos
Build and manage the speaker bench for your location: identify, source, and match speakers to briefings, run prep, and manage capacity so no one is over-asked
Own day-of orchestration and the customer experience standard at your center, in partnership with Workplace on logistics
Contribute to the playbooks, tooling, and best practices that let the program scale consistently across centers while allowing for regional nuance
Share intake and triage on a rotation across time zones so every request gets a decision within the defined SLA
Maintain one source of truth for criteria, lead times, and process so account teams get one answer
Own measurement and reporting for your center and contribute to global reporting on briefing volume, capacity and allocation, strategic-account coverage, and program-influenced pipeline and expansion
Onboard and coach briefing team members and contractors across locations
Minimum qualifications
Experience running executive briefings, customer events, or a comparable program for senior external audiences
Program management skills, including intake and prioritization, capacity planning, and managing multiple concurrent programs against SLAs
Experience designing agendas and facilitating discussions with C-level or other senior customer audiences
Experience building processes, playbooks, or tooling that help a program operate consistently
Ability to track, report on, and communicate program metrics such as volume, coverage, and pipeline influence
Strong written and verbal communication skills, with the ability to partner credibly with field leadership, executives, and internal subject matter experts
Work on site at your briefing center when briefings take place
Preferred qualifications
6+ years of experience building or scaling an executive briefing program, or a similar customer-facing program, at an enterprise technology company
Experience in a high-volume briefing environment
Experience with CRM and reporting tools such as Salesforce, and with connecting program activity to pipeline and expansion outcomes
Experience identifying and surfacing speakers for the speaker bench and managing speaker capacity across product, research, and executive teams
Experience working across time zones or across multiple sites to set one global standard
Experience onboarding or coaching new team members or contractors
Familiarity with AI products and how enterprises evaluate and adopt them
Interest in Anthropic's mission to build AI that is safe and beneficial
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$255,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
ГибридseniorDubai; London, England, United Kingdom
ГибридseniorDubai; London, England, United Kingdom
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