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
The world's engineers want to get the most out of Claude. At Anthropic, technical instruction already happens everywhere: our Applied AI and Forward Deployed Engineering teams teach customers and partners, and engineers across the company help others learn to build with Claude. Today that instruction is a shared responsibility, delivered alongside people's primary roles. As demand grows, we need to turn that distributed expertise into a dedicated technical instruction function.
You will build that function.
You will be the first person at Anthropic whose full-time job is technical instruction. You'll spend your first year primarily in the classroom teaching engineers, architects, and other technical practitioners. You'll also build the people, standards, and systems that let Anthropic's technical instruction scale far beyond the people we directly employ.
This is a player-coach role. From day one you manage a small bench of instructors. You set the bar for what "ready to teach" means, decide who is cleared to teach a given module in Anthropic's technical programs, and assess facilitators from our training partners against that bar.
You're an engineer who teaches and a teacher who has led other teachers. You can build an agent live in front of a skeptical engineer, diagnose what isn't working in a technical lab, and make the material better. You can also watch an experienced instructor teach, tell them their session isn't ready yet, and coach them to get there.
You will report to the Head of Technical Enablement. The role is based in San Francisco with some travel expected.
Key responsibilities
Lead from the front.
Teach hands-on sessions to new Applied AI engineers, our field teams, and partner cohorts, in rooms from 12-person labs to 100-person training days.
Build the instructor bench.
Hire and develop instructors and curriculum developers. Decide contract renewals, and recommend conversions to full-time, against criteria you define.
Set the quality bar.
Own the observation rubric, dry-run protocol, and cleared-to-teach process for every instructor-led technical session.
Scale through train-the-trainer.
Set the bar the Lead Technical Instructor's train-the-trainer program teaches to, for internal experts, contract instructors, and partner facilitators.
Turn expertise into instruction.
Turn internal experts' content into sessions and labs that work in a live room.
Enable programs without owning them.
Staff other teams' programs with cleared instructors, and own the quality of instruction inside them.
Measure and improve.
Report learner pass rates per instructor each month, and act on them.
Minimum qualifications
8+ years of relevant professional experience
across software engineering, solutions engineering, developer advocacy, technical education, or related technical roles.
4+ years of hands-on technical instruction.
You have taught engineers live and hands-on, across audience sizes.
Production engineering.
You have written and shipped production software and engage credibly with experienced engineers on architecture and debugging.
Recent hands-on AI development.
In your last three years of work, you have built or debugged applications with LLM APIs, agent frameworks, tool use, MCP, or similar.
People leadership.
You have managed instructors, trainers, developer advocates, or solutions engineers, including hiring and performance management, and kept teaching.
Instructor development.
You have designed or run a train-the-trainer program, instructor certification, or observation framework.
San Francisco location.
You are based in San Francisco or willing to relocate with our relocation support, can be in the office every day a program runs, 3 days in a normal week, and can travel 25 to 30 percent.
Preferred qualifications
A portfolio of sessions you taught and a rubric or certification you designed, shared only if you have the right.
Experience building an instruction or developer-education function from scratch.
Experience managing a contractor instructor bench, or clearing instructors across regions from recordings or trained observers.
Daily use of Claude Code or a comparable agentic coding tool, or building on Claude through Amazon Bedrock, Google Vertex AI, or Microsoft Foundry.
Deep enthusiasm for AI and real care about building it responsibly.
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.
headSan Francisco, CA; You are based in San Francisco or willing to relocate with our relocation support, can be in the office every day a program runs, 3 days in a normal week, and can travel 25 to 30 percent
Location: 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 engineers are building some of the most ambitious AI systems and applications in the world. We also help engineers, architects, and technical practitioners across Anthropic, our partners, and our customers learn to build with Claude.
Until now, technical instruction has largely been a shared responsibility. We are building a dedicated technical instruction function to make that learning exceptional and ensure that everyone who teaches in Anthropic’s technical programs meets a consistent, high bar.
We are looking for a Technical Instructor Lead in New York to help bring that standard to life. About half of your time will be spent delivering ILT hands-on technical instruction in New York and remotely across European time zones. The other half will be spent developing other instructors, running train-the-trainer programs, and improving the quality and consistency of technical instruction across programs.
You are an engineer who teaches and a teacher who makes other teachers better. You can build an agent live in front of a skeptical staff engineer, diagnose a broken lab while a room of learners waits, and adapt when a lesson is not landing. You can also watch another instructor teach for ten minutes and identify the one change that will materially improve their next session.
This is not primarily an instructional design or classroom facilitation role. You should be comfortable writing code, debugging technical systems, and teaching practitioners who may know more than you do about their particular domain.
You will report to the Head of Technical Training.
Key responsibilities
Deliver hands-on technical instruction across Anthropic’s onboarding, residency, and technical enablement programs, in person in New York and remotely across European time zones.
Model excellent technical teaching for audiences ranging from small, interactive labs to 100+ technical practitioners, adapting to different levels of experience and technical depth.
Run train-the-trainer programs for internal experts, contract instructors, and training partners, using Anthropic’s practice-teach, feedback, and certification processes.
Coach and calibrate instructors through live and recorded observations, actionable feedback, and recommendations on readiness to teach specific content.
Partner with technical experts to turn subject matter expertise into effective sessions, labs, exercises, and demonstrations, and improve content based on what happens in the room.
Own instructional quality in assigned programs, staffing yourself and cleared instructors into East Coast program calendars and ensuring delivery meets Anthropic’s standards.
Use learner and instructor data to identify gaps in instruction and recommend improvements to curriculum, delivery, and instructor development.
Help evolve Anthropic’s technical instruction function, bringing your experience from the room into our standards, instructor development practices, and approach to scaling quality.
Minimum qualifications
6+ years of relevant professional experience across software engineering, solutions engineering, developer advocacy, technical education, or another technically deep role.
3+ years of hands-on technical instruction, including teaching engineers in live environments both in person and remotely. You know how to make difficult technical concepts click and how to adapt when they do not.
Production engineering experience. You have written and shipped production software and can engage credibly with experienced engineers on architecture, implementation, debugging, and technical tradeoffs.
Recent hands-on AI development. Within the past three years, you have built or debugged applications using LLM APIs, agents, tool use, MCP, or related technologies. You are comfortable with rapidly changing AI development tools and unfamiliar technical problems.
Instructor development experience. You have helped other instructors or technical presenters improve through observation, structured feedback, practice teaching, or train-the-trainer programs.
New York City location or willingness to relocate. You will work from our NYC office whenever an instructor-led program is in session there, typically around three days per week. The role includes approximately 25% travel to San Francisco and, over time, Europe.
Preferred qualifications
Experience designing or operating a train-the-trainer, instructor certification, or observer-calibration program.
A portfolio of sessions, labs, or courses you have designed and taught, plus material you created so others could teach it.
Experience teaching across time zones or to European audiences, including coaching instructors from recorded sessions.
Experience using Claude Code or a comparable agentic coding tool as a significant part of your engineering workflow.
Experience building with the Claude Developer Platform through Amazon Bedrock, Google Vertex AI, Microsoft Foundry, or comparable infrastructure.
Experience with public speaking, conference workshops, or developer advocacy.
Deep enthusiasm for AI and a genuine commitment to building and deploying it responsibly.
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:
$270,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
As an Applied AI Research Engineer, you will discover what Anthropic's models and products can do, prove it with real customers, and equip the rest of Applied AI to sell and deliver it. You'll embed with product teams to build deep expertise on new capabilities as they develop, and serve as a critical feedback loop carrying field reality back to Product and Research so that what we build next reflects what customers actually need.
In collaboration with Sales, Product, and Research teams, you'll sit at the intersection of what we build and how customers adopt it. You'll own the technical<> GTM handshake for model and product launches: testing new models to understand their strengths and limitations, building demos and evals, and helping field teams get ready. When strategic customers hit novel challenges, you'll go hands-on to solve them. And throughout, you'll synthesize what you're learning across customers and products into insights that shape our roadmap, working closely with Product, Engineering, and Research teams to stay calibrated on what's working, what's not, and what matters most.
This role is equal parts researcher, field expert, and connective tissue between our customers and the teams that build our products. You'll need the technical depth to push the boundaries of what our models can do, strong communication skills to make complex capabilities clear to diverse audiences, and the instinct to turn what you learn in the field into signal that makes our products better.
Responsibilities:
Embed with product teams to build deep technical expertise on new products and capabilities as they develop, becoming the field's go-to expert in your domain
Own the technical<> GTM handshake for model and product launches-- early testing, field readiness assessments, and ongoing capability education throughout the model lifecycle
Build demos, evals, and prototypes that showcase customer-relevant model and product capabilities, and define what good performance looks like in important domains
Develop enablement materials like playbooks, training sessions, and reference architectures in partnership with Technical Enablement, so Applied AI teams can effectively position and deliver new capabilities from day one
Engage hands-on with strategic customers facing novel technical challenges in your domain, discover solutions, then package learnings into scalable approaches for the broader field
Synthesize insights from across customer engagements and work with Product and Research to land them. Identify adoption patterns, common blockers, and capability gaps that should inform our research and product roadmaps
Partner with Sales and Applied AI teams to support high-value accounts that need specialized domain knowledge
Travel occasionally to customer sites for workshops, implementation support, and research collaboration
You may be a good fit if you have:
6+ years of experience as a Software Engineer, Technical Product Manager, Forward Deployed Engineer, AI startup founder, or similar technical role -- ideally with some exposure to customers or end users
A track record of going deep on technical problems and then translating what you learned into materials, training, or tools that helped others succeed
Strong technical aptitude with strong proficiency in at least one programming language
Meaningful experience building with large language models -- whether shipping LLM-powered products, developing agents or workflows, or integrating models into production systems
Experience designing evals, building prototypes, or developing technical enablement for complex products
The ability to quickly build domain expertise in new product areas and become a credible technical voice on new topics
Curiosity about what AI models can actually do -- you enjoy probing the edges of new capabilities and figuring out what use cases just unlocked
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders, including exec-level
The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions
A collaborative, service-oriented mindset – go-to-market at Anthropic is a team sport
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$400,000 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 role
We are looking for a Director, Technical Revenue Accounting to join our Accounting Team. In this role, you will own the company’s most complex ASC 606 technical positions, lead the revenue accounting memo portfolio, and serve as the senior accounting decision-maker for new product revenue recognition treatments, non-standard deal structures, and partnership / marketplace go-to-market initiatives. You will partner directly with Deal Desk, Product, Legal, and Partnership leadership and set the technical revenue policy direction for the company! If you are looking for an opportunity to make a significant impact on the financial infrastructure of an innovative company, come join us in our mission to build cutting-edge, safe AI.
Key responsibilities
Own the company’s ASC 606 technical accounting memo portfolio — authoring and reviewing position papers on the most complex and judgment-intensive revenue recognition scenarios, including the SSP study
Lead the technical revenue assessment for all new product offerings (NPI) and programs, serving as the accounting decision-maker on performance obligation identification, SSP evaluation, and contract modification frameworks, and providing authoritative guidance to Product, Pricing, and GTM cross-functional teams
Serve as the senior Revenue Accounting partner to Deal Desk, Sales, and Legal — structuring non-standard deal terms, and providing real-time revenue recognition guidance on the company’s largest and most strategic commercial arrangements
Provide technical accounting guidance on partnership and marketplace arrangements for cloud third-party channels, including principal-vs-agent determinations, and revenue-share / co-sell economics
Own key accounting processes such as SSP analysis and related allocations, contractual credit amortization, reseller/partner channel incentives and rebates, footnote disclosures etc.
Own the revenue contract review framework, including ASC 606 checklists, position papers, and escalation paths, ensuring revenue recognition compliance scales with deal volume
Lead technical research initiatives on emerging revenue recognition issues and present recommendations to the Controller
Translate complex technical accounting requirements into actionable business guidance for non-accounting stakeholders
Review revenue-related month end close journal entries and flux analysis
Drive process improvement and revenue system implementation projects, including scoping, design sign-off, and UAT ownership
Minimum qualifications
Have a track record of authoring technical accounting memos on complex, judgment-intensive revenue arrangements
Have strong knowledge of ASC 606 with experience in performance obligation analysis, standalone selling prices, contract modification accounting, considerations payable to a customer, principal versus agent analysis, material rights, and variable consideration treatment
Ability to articulate complex accounting positions clearly, and proactively conduct technical accounting research to identify emerging revenue recognition challenges
Have hands-on experience with revenue recognition tools (e.g., Workday Financial Management, Zuora RevPro)
Have SQL proficiency for querying and analyzing large revenue and contract datasets
Have proven ability to lead cross-functional workstreams across Deal Desk, Product, and Partnership teams and drive results
Have a demonstrated ability to thrive in fast-paced, ambiguous environments
Preferred qualifications
Have 14+ years of progressive accounting experience, with extensive expertise in ASC 606 implementation and complex revenue recognition scenarios, including 4+ years in a technical revenue leadership or managerial role
A Bachelor's degree in Accounting or Finance; CPA required with demonstrated technical accounting expertise
Big 4 technical accounting / national office background combined with industry experience
Experience with technical accounting advisory work, including revenue recognition consulting or implementation experience
Experience with cloud marketplace, reseller, or channel partnership revenue arrangements
Experience working with consumption-based and subscription-based revenue models
Knowledge of AI/ML, SaaS and technology sector revenue recognition complexities
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:
$230,000
—
$300,000 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: Rotterdam, Netherlands
Workplace: hybrid
You will lead the Back Office & Integrations squad: the team that connects C Teleport to the systems our customers already run, from Planning, HR and Finance platforms to the AI agents that increasingly act on their behalf. The squad's mission is simple to state and hard to deliver: data moves between systems on its own, and nobody re-keys anything by hand. This is a hands-on leadership role. You set the squad's technical direction and write production code alongside your engineers. You also build the team, grow each person in it, and answer for how they perform.
Expect to spend roughly half your week in the code and half leading people.
C Teleport automates corporate travel for companies whose people are always on the move, with pragmatic engineering and machine learning doing the work that used to take a travel desk. Your squad is where that automation meets our customers' own systems. As Squad Lead you are the squad's face to the rest of the company. You work day to day with your Product Owner, who sits with you in Rotterdam, on what to build and how to ship it in increments. And you are the person other teams come to when their work depends on the integration layer, so they can trust that what you promise will land.
What you'll own
Technical leadership
Own the squad's technical direction, from design decisions through to the implementation itself.
Own the squad's delivery outcomes to ensure the team ships reliable, complete solutions and follows through to production.
Stay hands-on: contribute production code, lead reviews, and know the system deeply.
Partner with the Product Owner to shape the roadmap and break work into incremental MVPs, shaping solutions, not accepting requirements blindly.
Challenge estimates, surface risks early, safeguard production stability, and keep incidents and support tickets inside SLA.
Enforce coding standards, reduce technical debt, and evaluate new technology with the Architects Group.
People leadership
Line-manage the engineers in the squad: this is real, all-round people management, not a title.
Own hiring for the squad: define the need, interview, and make the call.
Run regular 1:1s, give direct feedback, and build each engineer's growth path.
Own performance end-to-end: recognise and stretch strong performers, and address underperformance directly, including the difficult conversations and, where it comes to it, managing someone out.
Set and hold the bar for how the squad works together, and promote a culture of "agree or disagree, but commit."
This is not…
Not a hands-off management role. You will still design, review, and write production code every week.
Not a pure IC or Tech Lead or architect role. You are accountable for people and for delivery, not only for the code. If you are looking to step back from management, or to step back from coding, this is not the role.
Not a way back into coding. If you have mostly managed people for the past year or more and your C# has gone rusty, this role will be a hard fit. Our technical interview tests current, hands-on skill.
Not a role where "leading engineers" was a title without the substance. If your team-lead experience didn't include running your own 1:1s, hiring, and personally handling underperformance, this role will feel like a bigger jump than it looks on paper.
Contract type
This role starts as a 12 months fixed-term contract, and permanent contract will be offered once the confidence of long-term collaboration is well established. If you need a permanent contract from day one, this isn't the right fit for you right now — for everyone else, it's the standard structure we use to make sure it's a genuine two-way fit before we commit long-term.
Must-haves (these are gates)
Based in the Netherlands and able to work from our Rotterdam office 3 days per week (Mondays, Tuesdays and Fridays). We can sponsor highly-skilled-migrant candidates who already live in the NL. We do not relocate candidates from outside the country.
7+ of your most recent years in software engineering with deep, current .NET / C# expertise. It needs to be your active day-to-day stack now, not a language you used earlier in your career.
2+ years of
current, full-scope
people management as a Engineering Manager, meaning you've personally run recurring 1:1s, hired, and managed underperformance through to a resolution, including an exit where needed. A lead or architect title without this substance isn't enough.
You have written and merged production C# as part of your regular job in the last 6 months.
Strong hands-on coding background, you'd rather write code than avoid it.
You use AI coding agents (e.g. Claude Code, Cursor's agent mode, or similar) as a daily driver, not just autocomplete, instead being comfortable directing agentic workflows, and ready to bring that fluency to how your team works, not only how you personally code.
Solid grasp of architectural patterns, SOLID, TDD, DDD, Event Sourcing and CQRS; practical experience with relational databases (PostgreSQL preferred) and message brokers (RabbitMQ or similar); hands-on with microservices and Docker.
Nice to have (bonus, genuinely not required)
Building and owning APIs, webhooks, or platform/integration products; connecting to enterprise finance/HR/scheduling systems; driving external partner/supplier integrations to live deployment.
Experience with AWS or Kubernetes.
Tech stack
C#, .NET, PostgreSQL, RabbitMQ, AWS; alongside Docker, Redis, Elasticsearch and other supporting services across the wider platform.
The squad
It's a small, lean and focused team working remotely across European time zones, with you connecting it to the wider company from our Rotterdam office. You report directly to the CTO.
What we offer
€7,000–8,000 gross per month, plus 8% holiday allowance.
A hands-on technical leadership role with significant ownership of a business-critical domain.
Hybrid working from our Rotterdam office, three days a week; close to your Product Owner and the cross-department stakeholders whose work depends on the squad, so the tightest collaboration happens in person.
Professional growth in a fast-moving company at the intersection of travel and engineering.
Hiring process
Recruiter / HR call: role, motivation, logistics, plus an interactive technical assignment.
Technical challenge / interview.
Meet the CTO.
Target: ~2–3 weeks end to end.
Pre-employment screening
If your application is successful, we may conduct a pre-employment screening through a trusted third party, in line with applicable laws — this may include employment history, education, and other relevant publicly available information to help us understand your suitability for the role.
C Teleport is an equal-opportunity employer. We assess every application on merit and handle your data in line with GDPR.
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 mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Claude Science is a big part of building toward that future.
Claude Science
is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we’re just getting started. Much of this is being built 0→1 right now: you’ll shape both the product and the architecture in a category no one has defined yet.
You'll be a technical leader who thinks holistically about the end-to-end researcher experience, partners directly with our internal research team to push model capabilities into production, and carries real ownership over what we ship next.
Our north star is accelerating scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude. This work supports programs like Anthropic’s
AI for Science Program
and
our rare disease research grants
.
What you'll do
Ship fast against a roadmap you help shape: this is a product in a category no one has defined yet, and the highest-leverage problems are still unclaimed
Interface directly with working scientists — academic labs, industry R&D teams, and research institutes — during key conversations, translating what you learn into engineering priorities
Partner with product and design to turn how scientists actually work — from hypothesis to analysis to publication — into shipped product
Work closely with research to make the models better at science: shaping evals, surfacing failure modes, and feeding what users hit in the real world back into model development
You may be a good fit if you
Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level
Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on
Have built AI products and know what it takes to turn model capabilities into applications people actually use
Are comfortable working directly with technical domain experts and translating what you learn
Drive cross-team alignment to ship impactful work, with influence over authority
Strong candidates may also have
Background in chemistry, biology, physics, or another science
Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: Seoul, South Korea
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Enterprise Account Executive for Digital Native Business based in Seoul, you'll drive the adoption of safe, frontier AI technology across Korea's fastest-moving technology companies. This is a greenfield, new business role: you'll build your territory from the ground up, owning the full sales cycle from first outbound touch to close across Korea's internet platforms, gaming, e-commerce, SaaS, fintech, and media companies. You'll work directly with founders, technical leaders, and product teams to help them build with Anthropic's AI as a core part of their products and operations.
Key responsibilities
Own and exceed revenue targets by winning net-new logos across Korea's digital native companies, including internet platforms, gaming, e-commerce, SaaS, fintech, and media
Build a greenfield territory from scratch: develop your own account list, generate pipeline through self-sourced outbound prospecting, and create repeatable plays for landing new accounts
Run fast, consultative sales cycles with founders, CTOs, CPOs, VPs of Engineering, and Heads of AI, positioning Claude as the foundation for AI-powered products and competitive differentiation
Land new accounts quickly and set them up for expansion, working closely with technical buyers and developer teams who evaluate hands-on
Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to win technical evaluations and accelerate time to production for customers building on our models
Preferred qualifications
8+ years of sales experience in Korea with a clear track record as a hunter: consistently winning net-new logos and generating the majority of your own pipeline through outbound prospecting
Experience selling to digital native, internet, or high-growth technology companies, and comfort engaging technical buyers such as engineering and product leaders, not just business stakeholders
A track record of opening greenfield territories or segments with little existing brand presence, building pipeline and closing revenue from zero
Proven experience exceeding revenue targets driven primarily by new business, with the ability to manage high-velocity cycles alongside larger strategic deals
Strong commercial instincts for usage-based and consumption models, and the ability to connect product adoption to revenue growth
A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player who thrives in ambiguous, startup-like environments
A strategic, analytical approach to territory and account prioritization combined with high-energy, persistent execution
A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit
Excellent communication skills in both Korean and English
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: New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic is building the Forward Deployed Engineering team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) embed with strategic customers to ship production AI applications that solve real business problems. Our delivery model pairs two roles: FDEs own the technical artifact, and TDLs own the engagement end-to-end — from statement of work (SOW) through production deployment.
As a Manager of Technical Deployment for Financial Services, you own engagement portfolio health across your vertical. You set the bar for delivery quality and build the playbooks and evaluation frameworks that let the practice scale. Your work will directly influence Anthropic's product direction and establish Anthropic as the trusted partner for AI transformation across the Fortune 100.
This is a player-coach role. You need to be credible in architecture conversations with a customer's engineering leads and equally comfortable in sales conversations in front of executive sponsors, and you will lead the most complex engagements yourself when the stakes call for it. Most of your impact will come through the people you hire and the standard you hold them to. You won't write production code, but you will pressure-test the technical decisions your TDL team makes with FDEs.
Responsibilities
Hire, develop, and retain a team of TDLs embedded in Financial Services engagements. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interviews that hold it.
Manage each TDL directly: regular 1:1s, clear expectations, direct feedback, and a growth plan. Build a bench that runs engagements well without you in the room.
Own portfolio health across the vertical. Track which engagements are on track, at risk, or closing out, and intervene early when delivery drifts. Run engagement quality reviews with your team.
Own customer outcomes across the portfolio. Hold the executive relationship with customer sponsors, run steering committees, and represent Anthropic's credibility with senior business, risk, and engineering leaders.
Make the staffing call for each engagement. Work with FDE managers to match TDLs and engineers to each customer, and adjust as scope changes.
Lead the most complex engagements yourself. Take the TDL seat when engagement size, regulatory exposure, or organizational complexity calls for it, from delivery plan through production.
Set the bar for delivery excellence — SOW quality, MVP scoping, and value measurement. Ensure every engagement has a defensible impact story.
Codify reusable solution patterns, evaluation frameworks, and technical playbooks across the team. Turn what works in the field into delivery infrastructure that lets the practice scale.
Partner with Sales to qualify engagements, shape scope, and inform SOWs. Partner with Marketing and Sales on Financial Services–specific go-to-market materials, reference cases, and positioning.
Run the team's operating rhythm: engagement reviews, knowledge-sharing, and escalation support, and report into the wider post-sales cadence and dashboards. Set team goals tied to customer outcomes.
Bring the field back to Anthropic. Surface delivery lessons and emerging Financial Services use cases to Product and Research, and represent the vertical in leadership discussions.
Consistently uphold Anthropic's values as you lead your team. TDLs should be strong representatives of Anthropic's culture as they work within customer environments.
Travel to customer sites (25–50% expected).
You May Be a Good Fit If You
Have 8+ years leading enterprise AI/ML delivery, whether you came up as a founder, engineer, data scientist, or researcher who has moved into deployments, with at least 3 years directly managing people who owned delivery outcomes.
Have a track record of building and leading technical delivery teams in enterprise environments, ideally including embedded or forward-deployed teams working at client sites.
Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.
Bring depth in Financial Services. You have delivered technology programs inside banks, insurers, or asset managers, you understand how model risk, security, and compliance review shape what ships, and you can speak credibly with a CIO, a chief risk officer, and a head of engineering.
Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and judge whether a proposed agent design is realistic. You are accountable for the technical direction your team sets alongside FDEs.
Have experience with value-based scoping, including TCO/ROI quantification and post-deployment impact measurement.
Thrive in ambiguity and bring structure where none exists. You have built a team, practice, or function from an early stage.
Have executive presence: polished, credible, and concise with senior leaders in high-stakes settings, and just as effective in a hands-on engagement review with your team.
Have strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$240,000
—
$450,000 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: New York City, NY; San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role:
As a Scale Growth Account Executive at Anthropic, you'll own a portfolio of roughly 6-8 of our most strategic and fastest-scaling AI-native startup customers, driving expansion and retention by helping them harness the transformative potential of safe, frontier AI. These are companies that build on Anthropic's models and are now scaling quickly — your job is to grow with them. You'll leverage your consultative sales expertise to expand revenue across complex, multi-stakeholder accounts while becoming a trusted strategic advisor to founders and executive teams, helping them expand their AI capabilities and unlock new use cases. Working closely with GTM, Applied AI, product, and marketing teams, you'll identify expansion opportunities while ensuring our customers get maximum value from Anthropic's solutions.
The ideal candidate will combine strong commercial acumen with executive relationship management skills, focusing on growing large accounts through strategic expansion while maintaining high retention rates in a competitive market. By driving expanded deployment of Anthropic's products at the companies defining what AI-native looks like, you will help them scale their AI capabilities while advancing its safe and ethical development.
Responsibilities:
Drive revenue growth through strategic account expansion and renewals across a focused portfolio (~6-8) of Anthropic's largest AI-native startup customers. Own the full sales cycle for upsell and renewal opportunities while maintaining strong retention rates
Build and maintain trusted relationships with founders, board members, and executive stakeholders, as well as the technical leaders (CTO, VP Engineering, Head of AI) who own model decisions
Lead strategic account planning including executive business reviews, health checks, usage and forecast reviews, and renewal negotiations
Partner with customers to identify new use cases, workloads, and products that expand their AI capabilities with Anthropic
Navigate complex commercial conversations — multi-stakeholder deals, evolving usage patterns, and competitive evaluations — in partnership with Applied AI and product teams
Serve as the voice of the customer by gathering feedback and conveying market needs to inform our product roadmap
Develop and execute account strategies that align Anthropic's solutions with customer business objectives
Proactively identify and mitigate retention and competitive risks while maintaining high customer satisfaction
Must Have Qualifications:
11+ years of experience in sales or account management roles, with a proven track record of growing large, complex accounts and exceeding retention and expansion targets
Success as a strategic business advisor to founders and executives, deeply understanding fast-scaling startup needs and creating solutions that align with their vision
Experience managing complex, multi-stakeholder sales cycles, working with technical stakeholders, and negotiating strategic deals
Strong presentation and communication skills with ability to build relationships across all customer levels, from ICs to founders and C-level executives
Analytical approach to understanding customer needs and usage combined with creative solutions to drive expansion
A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality
Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly
Experience running executive business reviews and managing executive relationships
Track record of consistently meeting or exceeding quota in fast-paced environments
Preferred Qualifications:
Experience selling or expanding usage- or consumption-based API, infrastructure, or developer-platform products
Experience selling to technical founders, CTOs, and engineering leaders at AI-native or developer-first companies
Fluency in the LLM/AI market — model providers, capabilities, pricing models, and how AI-native companies evaluate and switch between them
Experience structuring larger commercial agreements (usage commitments, multi-year terms, enterprise contract terms) with fast-growing customers
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a member of the Research Legal team, you'll advise on legal topics across the full lifecycle of building and studying frontier AI models: data acquisition and use, training pipelines, model evaluation and launch, and alignment, interpretability, model welfare, societal impacts, and beneficial deployments research, as well as Responsible Scaling Policy work on biological risk. You'll be a subject matter expert on copyright, privacy, data use, and AI regulation (including the EU AI Act, U.S. state laws, and emerging global rules), and will work directly with researchers on questions that often have no settled answer.
The ideal candidate will have navigated complex legal questions at the intersection of machine learning, data, and academic research in a fast-moving technical environment, with the judgment to work at the cutting edge of AI development while effectively solving issues, enabling innovation, and calibrating risk. This is a uniquely positioned role touching many different facets of AI, presenting the opportunity to be a leader in AI legal thought.
Key responsibilities
Advise research and data teams on data sourcing, licensing, partnerships, and use, and help shape Anthropic's data acquisition and use strategy as laws and markets evolve
Help coordinate regulatory readiness and model launches, review model documentation and system cards, respond to regulatory inquiries, and advise on legal questions for pre-release and internal models
Support the Responsible Scaling Policy as applied to biological and chemical risk, including capability evaluations, tiered access for biosecurity researchers, and dual-use research questions
Counsel the Societal Impacts, Economic, Alignment, Interpretability, Model Welfare, and Beneficial Deployments teams on research design, data collection and sharing, external collaborations, program launches, and publication review
Monitor global AI, privacy, copyright, and export-control developments and translate them into practical internal guidance and policy, working closely with Product, Policy, and other legal stakeholders
Engage with academics, regulators, industry groups, and civil society to help develop norms and best practices for responsible AI development and data governance
Minimum qualifications
Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based (California or New York preferred)
Practical, creative problem-solving: the ability to apply legal requirements to fast-changing, deeply technical work, with an understanding that the goal is to enable responsible research and product development in a risk-calibrated environment
Exceptional communication and analytical skills, technical fluency, and the ability to navigate ambiguous and uncharted legal territory, turning complex technical and legal analysis into advice people can act on
Familiarity and comfort advising on the EU AI Act, U.S. legislation and AI frameworks, GDPR/CCPA, and comparable regimes globally, sometimes where no AI-specific legislation exists
Interest in thinking deeply about the impact of AI on society and how to make humanity's transition to the AI age as beneficial as possible
Sound judgment about when to be flexible and when to hold a line; comfort making high-stakes calls in unsettled areas and outside your core expertise; and a low-ego, collaborative approach, doing the work needed rather than delegating it or being territorial
Preferred qualifications
At least 8 years of legal experience advising technology companies on copyright, privacy, data, AI regulation, and related product and policy issues, ideally including time in-house and work on AI/ML products or services
Experience engaging directly with regulators or standards bodies
Working technical literacy: enough familiarity with how models are trained, evaluated, and deployed to ask researchers and engineers the right questions and spot the legal issues in a technical design
An academic or publishing background, or experience with copyright, open-source, and data licensing
Experience with biosecurity, dual-use research, export controls, or safety frameworks such as Anthropic's Responsible Scaling Policy
Experience advising on academic or industry research, including publications, external collaborations, data sharing, or human-subjects and consent questions, ideally in AI or an adjacent technical field
Role-specific policy:
We prefer candidates who can work from our San Francisco or New York office at least 3 days a week, but may consider other locations for the right candidate.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$265,000
—
$335,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London, United Kingdom
Workplace: hybrid
Role
As, a Senior Business Development Manager at Sokin, you will act as the initial point of contact for prospective corporate clients across the mid-market and enterprise segments. You will be responsible for sourcing, qualifying, and engaging high-value opportunities, building a strong pipeline that supports long-term client relationships.
This is a high-impact commercial role designed for an ambitious individual looking to develop into a future sales leader. You will gain strong exposure to SOKIN’s suite of solutions — including global payments and receivables, FX, and treasury management — and work closely with sophisticated businesses to support their cross-border financial needs. You will be equipped with best-in-class tools, and a proven sales playbook to enable success.
About Us
Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we’re simplifying global business - so businesses thrive wherever they choose to grow.
We deliver services across:
Global payments and receivables
Foreign Exchange (FX)
Treasury management
Finance reconciliations
We are rapidly expanding, with established presence in EMEA, APAC, and North America.
Backed by a strong global infrastructure and industry-leading partners, we are redefining how businesses move money worldwide.
Our clients span industries from sports and entertainment to logistics and travel, and our community is growing rapidly. As we continue to expand, we’re building a team of exceptional people who share our ambition to transform the future of global payments.
Key Responsibilities
Proactively identify, research, and develop new business opportunities across the mid-market and enterprise segments through LinkedIn, CRM intelligence, partner referrals, targeted outbound prospecting, and other channels.
Conduct structured qualification by evaluating client needs, treasury requirements, FX exposure, and complexities across international payments and cross-border receivables.
Lead initial engagement with senior stakeholders and decision-makers, leveraging a multi-channel approach across email, phone, LinkedIn, and strategic social outreach.
Secure and coordinate high-value discovery calls and commercial meetings, ensuring opportunities are well-qualified and positioned for progression through the sales pipeline.
Collaborate closely with internal stakeholders — including Marketing, Compliance, Product, and Client Onboarding — to drive seamless opportunity conversion and an exceptional prospect experience.
Maintain accurate, timely, and commercially relevant documentation of all activity, pipeline status, and prospect insights within the CRM, ensuring visibility and reporting integrity.
Support the planning and execution of outbound campaigns and targeted go-to-market initiatives across assigned sectors, regions, or strategic verticals.
Consistently deliver against performance objectives, including weekly activity benchmarks and monthly qualified opportunity targets, contributing to overall revenue growth and pipeline health.
Build commercial knowledge across international markets, enterprise sales methodology, FX and treasury solutions, while leveraging ongoing development opportunities within SOKIN’s broader commercial organisation
Requirements
6+ years of proven enterprise sales experience, with a strong track record of managing complex, high-value deals and long sales cycles across senior stakeholder groups.
Recognised champion and advocate within their specialist field, demonstrating deep market expertise, thought leadership, and the ability to influence customers and internal teams.
Strong ability to conduct high-quality discovery and structured qualification, uncovering commercial priorities, operational pain points, and treasury requirements to position solutions effectively.
Excellent written and verbal communication skills, with the ability to deliver clear, compelling, and value-driven messaging tailored to finance leaders and decision-makers (CFO, FD, Treasurer, Head of Finance).
Commercially sharp, with strong business acumen and the ability to prioritise opportunities based on value, urgency, and strategic fit.
Naturally curious and coachable, with a growth mindset and commitment to developing into a trusted advisor for clients and internal stakeholders.
Highly organised and detail-oriented, with strong CRM discipline and a structured approach to pipeline management, forecasting, and reporting.
Tech-savvy and confident using modern sales tools and CRM systems (Zoho experience is an advantage).
We are an equal opportunities employer committed to creating an inclusive work environment. As a growing global startup, we value agility and flexibility in our working culture. If you require any accommodations during the recruitment process, please let us know.
Location: Worldwide
Workplace: hybrid
The International Host (Turkish Speaker) acts as a crucial liaison between Turkish-speaking guests and groups, and the ship’s hotel departments, ensuring a smooth, personalized, and memorable cruise experience. This role provides language assistance and translation services, facilitates communication, and supports guest engagement by hosting events and delivering informative talks and briefings. The International Host actively promotes onboard products and services to enhance guest satisfaction and drive onboard revenue. Working collaboratively with other Guest Services roles, and the Shore Excursions, Marketing, and other hotel departments, this position plays a key role in delivering personalized service tailored to the needs of Turkish-speaking guests and groups aboard Cruises.
Main Responsibilities
Provide translation, language support, and personalized assistance to ensure a seamless onboard experience for Turkish speaking guests.
Deliver outstanding customer service to enhance the overall cruise experience for guests and groups.
Staff the language assistance desk, offering general cruise information, resolving inquiries, and supporting guests throughout their journey.
Translate essential ship documents—including the Daily Planner, menus, letters, and onboard materials—to facilitate clear communication.
Make announcements over the PA system in Turkish as directed by Hotel Management, ensuring important information is accessible.
Lead and participate in informational sessions such as welcome and disembarkation briefings, port talks, and shore excursion presentations.
Conduct guided tours of the ship, including behind-the-scenes experiences, to enhance guest engagement and familiarity with onboard facilities.
Provide translation and informational support at onboard events and activities, ensuring full participation and enjoyment.
Support shore excursion sales and other revenue initiatives by actively promoting onboard products, services, and activities.
Serve as the primary contact for group leaders, addressing inquiries, coordinating special requests, and ensuring group needs are met efficiently.
Collaborate with other ship departments (e.g., Food & Beverage, Housekeeping, Entertainment) to deliver appropriate language assistance and exceptional service.
Assist with pre-cruise planning for groups, including event coordination and logistical arrangements to ensure smooth operations.
Facilitate pre-arrival preparations by organizing events and coordinating necessary arrangements for individual guests or groups.
Record and address guest concerns using the Otalio Service Requests system, proactively responding to feedback to continuously improve service delivery.
Ensure compliance with all company standards, policies, and procedures onboard.
Support other areas of Hotel Operations as directed by Hotel Management, contributing to exceptional guest service delivery.
Skills Requirements
A minimum of two years’ experience in guest services, group coordination, translation, shore excursions, event planning, or a similar role is required; prior experience in a cruise or hospitality environment is preferred.
Spoken and written fluency in Turkish, with proven experience translating from English to Turkish, is required.
Knowledge of Russian and Arabic is an advantage.
Strong problem-solving skills and the ability to work effectively in a fast-paced, dynamic environment.
Outstanding communication, interpersonal and organizational skills, with strong attention to detail.
Ability to multitask and thrive in a multicultural, high-pressure setting.
Proficiency in computer systems and digital tools; familiarity with Otalio PMS, GobySpark, and other cruise software is preferred.
Documentation Requirements
Valid Passport and Visas: As required.
STCW Certification: Or willingness to obtain.
Valid Medical Certificates: Current and up to date.
Contract 5 months on / 2 months off
For Pooling Purposes
Location: 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
Anthropic is seeking a partnerships leader to own the tri-party motion for public sector and nonprofit partnerships selling through AWS. Public sector and nonprofit-focused partners are how Claude reaches government agencies, educational institutions, and mission-driven organizations at scale, and AWS is the surface most of that work runs on. You will own the intersection of those two ecosystems.
In this role, you will build the go-to-market motion that turns partner interest into joint pipeline and closed revenue, working across AWS's public sector partner organization and the AWS practices inside the partners that serve government and nonprofit customers. You will define how Claude is positioned inside AWS public sector partner programs, design the commercial mechanics that let partners transact and get rewarded through procurement vehicles and contract structures specific to this segment, and build the joint plays that partners take to their customers.
This is a build role. The partner ecosystem is early, the programs are still being designed, and you will be operating across three organizations whose incentives on any given deal don't always line up. You will help shape how frontier AI technology reaches the public sector and nonprofit community through the partner ecosystem, including in classified environments where required.
You will report directly to the Head of AWS GTM Partnerships and work closely with our Global Public Sector Leader.
Key responsibilities
Develop and execute the GTM strategy for our public sector and nonprofit partnerships through AWS, including co-selling motions, joint business plans, events, and segment-specific plays across federal, state and local, education, and nonprofit
Own forecasting, pipeline development, and revenue targets for partner-sourced and partner-influenced business
Design the commercial mechanics that make the partner motion work, including deal registration, marketplace program structure, procurement and contract vehicle alignment, and incentives
Build and maintain executive-level relationships across AWS's public sector partner organization and across partner AWS practice leadership
Work with partners to develop repeatable, mission-specific solutions built on Claude, and help them build the delivery capability to take those solutions to public sector and nonprofit customers
Partner cross-functionally with Anthropic's alliances, public sector sales, partner marketing, policy, and regional cloud teams to keep the motion consistent while regions and segments execute locally
Create and implement scalable processes for partnership operations, including escalation management, business reviews, and reporting
Provide strategic market intelligence and competitive insights on the public sector and nonprofit partner ecosystem to inform product and commercial strategy
Identify where to concentrate investment across the partner portfolio and make the case to stop investing where returns are not there
Minimum qualifications
Active security clearance (TS/SCI required) with ability to discuss capabilities in classified environments
Enterprise partnerships, alliances, or business development experience, with meaningful time spent on partner ecosystems serving public sector or nonprofit customers
Proven track record of building and scaling partnerships with public sector-focused systems integrators, resellers, or channel partners
Experience building a co-sell or channel motion from the ground up, including the commercial mechanics behind it
Deep understanding of how cloud and partner field organizations operate in the public sector, including procurement processes, contract vehicles, and the incentives that drive seller and partner behavior
Track record of carrying and hitting a partner-sourced or partner-influenced revenue number, with credible forecasting behind it
Demonstrated ability to build credibility with and influence senior stakeholders
Excellence in strategic planning, business operations, and program management
Ability to balance strategic thinking with tactical execution, and a willingness to concentrate effort rather than spread thin
Experience working with technical products and translating complex capabilities into business value
Ability to travel up to 25% of the time
Preferred qualifications
12+ years of enterprise partnerships, alliances, or business development experience
Previous experience working with AWS or another hyperscaler's public sector partner organization
Working knowledge of public sector partner operating models, including practice structures, delivery economics, and how services and contract revenue drive partner decisions
Familiarity with government compliance and authorization frameworks (such as FedRAMP, IL levels, and StateRAMP) and how they shape partner-led deployments
Experience working with nonprofit, higher education, or philanthropic organizations and the funding dynamics that shape their technology decisions
Background in AI/ML technologies or with developer-focused platforms and their partner ecosystems
Experience scaling partner programs at a company moving from early traction to significant partner-driven revenue
Prior experience in management consulting or federal program management
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$365,000
—
$425,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Al Jubail, Saudi Arabia
The Rigless Drilling Operations Foreman is responsible for supervising and coordinating rigless drilling, well completion, and workover activities at onshore and offshore well sites. The role ensures safe, efficient, and timely execution of well programs in accordance with approved procedures, industry standards, and Saudi Aramco requirements.
Key Responsibilities
Supervise rigless drilling, well completion, and workover operations at remote onshore and offshore well locations.
Ensure all operations are performed safely and in accordance with approved well programs, SOPs, industry best practices, and HSE standards.
Coordinate contractors, well services, equipment, materials, logistics, transportation, and site support required for operations.
Ensure compliance with
Blowout Prevention (BOP)
standards, equipment testing requirements, and emergency response procedures.
Monitor operational progress, materials, equipment, service-company activities, and associated costs; maintain accurate daily reports.
Ensure contractor compliance with contractual requirements, personnel competency, and equipment specifications.
Identify opportunities for cost optimization and operational improvement without compromising safety or well objectives.
Provide field guidance and on-the-job training to less experienced personnel.
Required Experience & Qualifications
Proven experience in
rigless drilling, well completion, or well workover operations
.
Experience supervising complex or critical wells, including deep, high-pressure, sour-gas, or highly deviated wells.
Strong knowledge of well-site safety, BOP requirements, drilling/workover procedures, and contractor management.
Experience working with
Saudi Aramco standards and procedures
is highly preferred.
Willingness to work on a
28-days-on/28-days-off rotational schedule
at remote onshore/offshore locations.
Location: Sydney, Australia
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are hiring our first Sydney-based Product Support Specialists, who will grow our global presence as a team and serve as champions of our unique support brand. You’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day-to-day. Additionally, you’ll help us identify and close gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale.
Note: Specialists in Sydney will work 12pm to 8pm, Monday to Friday.
Responsibilities
Become an expert in all Anthropic products
Respond to user support cases with a variety of complexity, from simple billing or account questions for individuals to complex API debugging for large businesses
Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model and assisting consumer users at a rapid pace
Manage on-call tasks for high-urgency user issues with extreme ownership. This includes being on critical “pager duty” during APAC hours to ensure 24/7 support for critical queries
Prioritize critically and comfortably adapt to an ever-evolving product landscape
Operate in ambiguity, making informed decisions even in never-before-seen situations
Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale
Suggest and drive improvements to increase user satisfaction through support processes, as well as own initiatives that increase efficiency and drive down contact rates
Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products
You may be a good fit if you
Have experience in providing technical product support within a second-tier, escalated, or priority support team
Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease
Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g., CSAT, SLA, etc.)
Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution
Have crisp but kind written communication skills and a deep care for the details
Enjoy helping others learn about new features and complex concepts
Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward
Have experience contributing to the foundations of a support team. This is essential, highly valuable, but often unglamorous work, and it is particularly key for this role due to it being among the first Support hires in APAC/ANZ
Are proficient at working in a technical environment and are interested in Anthropic’s products
Possess a deep sense of ownership, and are excited to help us build our team!
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: Milwaukee, WI
Project Engineer - Construction
Location:
Project-Based (Wisconsin, Missouri, Wyoming, Texas, and future project locations)
Employment Type:
Full-Time
Work Environment:
Primarily Site-Based (Long-Term Project Assignments)
Help Deliver World-Class Mission-Critical Infrastructure
The successful delivery of hyperscale data centers begins with transforming greenfield sites into fully developed mission-critical campuses through large-scale earthwork, utility installation, infrastructure development, logistics planning, and disciplined project execution.
Project Engineers play a critical role in supporting project teams throughout this process, helping coordinate field operations, track project performance, manage documentation, support project controls, and ensure projects are executed safely, efficiently, and in alignment with customer expectations.
At
Michels Infrastructure Solutions (MIS)
, we deliver some of North America's largest and most complex mission-critical and hyperscale infrastructure projects. As the general contracting and EPC delivery arm of Michels, MIS leverages the self-perform capabilities of the Michels Family of Companies to execute every phase of construction, from site development and utilities through power infrastructure, commissioning, and project closeout.
Our teams support leading technology companies and developers by delivering the critical infrastructure required to power cloud computing, artificial intelligence, and digital connectivity. Known for tackling challenging scopes, aggressive schedules, and complex project environments, MIS combines the resources of a national EPC contractor with the accountability, agility, and hands-on leadership needed to successfully deliver world-class mission-critical facilities.
Position Overview
As a
Project Engineer
, you will assist in managing large-scale hyperscale data center and mission-critical infrastructure projects or independently manage smaller project scopes under the guidance of a Project Manager or Senior Project Manager.
During the early phases of project execution, you will support large-scale site-development and infrastructure operations including land clearing, mass grading, earthwork, drainage systems, wet utilities, dry utilities, power infrastructure, logistics planning, and construction readiness activities. You will work closely with field leadership and project teams to help transform greenfield sites into fully developed mission-critical campuses.
You will support all phases of project execution, including planning, scheduling, budgeting, procurement, contract administration, project controls, customer communication, quality management, and field coordination.
This role serves as a key link between project management and field operations, helping ensure projects progress safely, efficiently, and in alignment with schedule, budget, and quality objectives. You will work closely with Project Managers, Superintendents, subcontractors, suppliers, customers, and internal stakeholders while developing the skills necessary to advance into future project leadership roles.
Success requires strong organizational skills, attention to detail, communication abilities, and the capacity to make sound decisions in a fast-paced construction environment.
Key Responsibilities
Assist Project Managers with the successful execution of hyperscale data center and mission-critical infrastructure projects.
Support planning and execution of large-scale site-development and infrastructure activities.
Review project proposals, contracts, scopes of work, schedules, budgets, staffing requirements, and execution plans to develop a complete understanding of project requirements.
Coordinate project activities with field leadership to help ensure projects remain on schedule and within budget.
Support project scheduling, forecasting, budgeting, procurement, project controls, and resource planning activities.
Assist with contract administration, customer communication, project documentation, and change management processes.
Promote and maintain a strong culture of safety across all project activities.
What You'll Do
Assist in managing project execution from greenfield site development through final turnover and project closeout.
Support field operations involving mass grading, earthwork, storm sewer, sanitary sewer, water systems, fire water systems, electrical ductbanks, telecommunications infrastructure, structural concrete, and power infrastructure.
Coordinate with field supervision, subcontractors, suppliers, engineers, customers, and project stakeholders to support successful project delivery.
Participate in the development and maintenance of project schedules, work plans, budgets, forecasts, staffing plans, logistics plans, and project tracking tools.
Review project progress and assist with updating budgets, forecasts, schedules, production quantities, and performance metrics.
Support contract administration activities including pay applications, RFIs, CORs, change orders, notices, project correspondence, and closeout documentation.
Serve as a point of contact for customers, subcontractors, suppliers, and internal stakeholders regarding assigned project responsibilities.
Participate in project coordination meetings, customer meetings, operational planning sessions, and schedule reviews.
Assist project teams with procurement activities, subcontractor coordination, material tracking, equipment planning, and project controls processes.
Support utility coordination, site-development phasing, logistics planning, and infrastructure sequencing efforts.
Work collaboratively with estimating teams to develop historical performance data and support future project pursuits.
Support QA/QC activities, testing procedures, inspections, commissioning support, utility turnover requirements, and project closeout efforts.
Help identify project risks, develop solutions, and support successful project outcomes.
Why Michels Infrastructure Solutions, Inc.?
We deliver some of North America's largest and most complex hyperscale data center and mission-critical infrastructure projects.
We provide exposure to every phase of project delivery, from greenfield site development and utility infrastructure through commissioning and turnover.
We provide opportunities to work alongside experienced project and operations leaders executing some of the most significant infrastructure programs in North America.
We are family owned and operated.
We invest an average of
$5,000 per employee per year
in training and career development.
We perform challenging, meaningful work that supports cloud computing, artificial intelligence, digital connectivity, and economic growth.
We believe everyone is responsible for promoting safety, regardless of job title.
We are part of the Michels Family of Companies, one of North America's largest and most diversified energy and infrastructure contractors.
We offer significant opportunities for advancement into Project Manager, Senior Project Manager, and Operations leadership roles.
Comprehensive Benefits Package
Health Insurance
Dental Insurance
Life Insurance
Flexible Spending Accounts (FSA)
Health Savings Account (HSA)
Short-Term Disability Insurance
Long-Term Disability Insurance
401(k) Retirement Plan
Legal Plan
Identity Theft Protection and Monitoring Plan
Benefits may vary based on position and location.
Why You?
You like to surround yourself with dedicated, value-driven people.
You relish new challenges and evolving technology.
You cringe when you hear: “Because that's the way we've always done it.”
You enjoy coordinating people, schedules, equipment, and resources to achieve successful outcomes.
You enjoy solving complex field execution and infrastructure challenges.
You are highly organized and capable of managing multiple priorities simultaneously.
You take ownership of your work and thrive in a collaborative team environment.
You want to learn from experienced project leaders and grow into a leadership role managing some of the most complex construction projects in North America.
You want your efforts noticed and your contributions to have a meaningful impact.
You want to work to make a difference.
What It Takes
Bachelor's degree and
3-5 years of related experience
, or an equivalent combination of education and experience.
Bachelor's degree in Construction Management, Civil Engineering, Engineering, Project Management, or a related field preferred.
Experience supporting construction project management activities including scheduling, budgeting, forecasting, procurement, contract administration, project controls, and field coordination.
Experience supporting heavy civil, site-development, utility, industrial, power, EPC, infrastructure, mission-critical, or data center construction projects preferred.
Understanding of site-development construction activities including earthwork, underground utilities, drainage systems, utility coordination, logistics planning, and construction sequencing.
Ability to review contracts, project scopes, schedules, budgets, and execution plans to support successful project delivery.
Experience supporting customer communications, subcontractor management, project tracking, and project reporting activities.
Understanding of construction scheduling, estimating, project controls, production tracking, and cost management principles.
Experience with scheduling, estimating, and project controls software.
Experience with Primavera P6, HCSS, B2W, Microsoft Project, Procore, Autodesk Construction Cloud, InEight, or similar platforms preferred.
Experience supporting QA/QC processes, testing protocols, inspection activities, utility turnover requirements, and project closeout requirements.
Strong verbal and written communication skills with the ability to effectively interact with customers, project teams, subcontractors, suppliers, and field personnel.
Strong organizational, analytical, problem-solving, and decision-making skills.
Ability to work independently while effectively collaborating with multidisciplinary project teams.
Valid driver's license with an acceptable driving record.
Ability to support long-term, site-based project assignments at hyperscale data center and mission-critical construction projects throughout North America. This position is primarily field-based, with the majority of work performed directly from active project sites. Initial project opportunities are expected to be located in Wisconsin, Missouri, Wyoming, and Texas, with future assignments determined by business needs and project awards.
Join a company that powers progress. Be a part of Michels Infrastructure Solutions, Inc.—where you don't just build projects, you build a career.
#LI-AS1
AA/EOE/M/W/Vet/Disability
https://www.michels.us/website-user-privacy-policy/
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking Software Engineers to join our Observability team within the Infrastructure organization. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on—from metrics and logging pipelines to distributed tracing, profiling, error analytics, alerting, and the dashboards and query interfaces that make it all actionable. By joining this team, you'll have a direct impact on the reliability and operational excellence of Anthropic's research and product systems.
As Anthropic scales its infrastructure across massive GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude—and an increasing share of the hardest problems live below the application layer. We're building next-generation observability systems—high-throughput telemetry pipelines, fleet-wide continuous profiling, eBPF-based tracing and network visibility, and agentic diagnostic tools—so engineers can detect, diagnose, and resolve issues in minutes rather than hours, even when the answer lies in the kernel, the network stack, or an accelerator rather than on a dashboard.
Key responsibilities
Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic's multi-cluster infrastructure
Build observability solutions that give engineers deep, low-overhead visibility into system behavior across the fleet
Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth
Build instrumentation libraries, SDKs, and eBPF-based auto-instrumentation to emit high-quality telemetry, with and without code changes
Reduce mean time to detection and resolution by building cross-signal correlation—from kernel-level events up to application traces—unified query interfaces, and AI-assisted diagnostic tooling
Drive fleet-wide efficiency by turning continuous profiling and utilization telemetry into actionable optimization insights across CPU, memory, and accelerator fleets
Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization
Minimum qualifications
Have hands-on experience building and operating large-scale observability or monitoring infrastructure
Have deep, hands-on experience with observability signals end to end—from instrumentation through ingest to query and analysis
Understand high-throughput telemetry pipelines and the tradeoffs involved in collecting, storing, and querying operational data at scale
Are comfortable digging below the application layer into the kernel, the network stack, or the hardware
Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities
Are excited about building foundational infrastructure and comfortable navigating ambiguous, high-impact technical challenges, both independently and with a team
Preferred qualifications
10+ years of relevant industry experience, including building and operating large-scale observability or monitoring infrastructure
Experience building or operating eBPF-based observability in production—tracing, profiling, or network visibility
Experience running continuous profiling at fleet scale, including managing overhead budgets and symbolization
Kernel- and syscall-level debugging experience and performance engineering craft
Experience profiling or instrumenting accelerator workloads
Experience operating metrics systems at very high cardinality, or large-scale telemetry storage backends
Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies
Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting
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:
£325,000
—
£390,000 GBP
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: United States of America (USA), Remote
Lumos is looking for a full-time
Account Executive
! In this role, you’ll lead strategic growth efforts across our multi-dwelling unit (MDU) and homeowners’ association (HOA) communities, building trusted partnerships with property stakeholders and expanding access to our 100% fiber network.
You’ll take ownership of the full sales cycle from identifying opportunities and understanding property needs to negotiating access, marketing, and bulk service agreements. With a consultative approach and a strong understanding of how properties operate, you’ll craft tailored solutions that align resident expectations with Lumos’s mission to deliver reliable, lightning-fast internet where it’s needed most.
Why Lumos:
Lumos is transforming the future of connectivity by building one of the nation's fastest-growing 100% Fiber Optic networks. Through T-Fiber, our joint venture with T-Mobile, we're working toward a shared goal of connecting 12 to 15 million homes by 2030 while expanding access to reliable, high-speed internet in the communities we serve.
Here, you'll find more than a job, you'll have the opportunity to make an impact, take ownership of your work, and help shape how we grow. We move quickly, collaborate across teams, and believe the best ideas come from people who are curious, solutions-oriented, and ready to build what's next.
What You'll Do:
Build and maintain relationships with developers, property managers, HOA board members, and consultants to generate and nurture qualified leads.
Lead discovery conversations to uncover property goals, decision-making dynamics, and resident expectations.
Develop and present customized service proposals that align with Lumos’s capabilities and the property's unique needs.
Negotiate access rights, marketing agreements, and bulk service contracts with clarity and professionalism.
Own the full sales lifecycle from opportunity identification through contract execution and internal handoff.
Collaborate with internal teams to support property-specific logistics, installation readiness, and implementation needs.
Track and forecast pipeline activity, contributing to regional sales targets and organizational growth goals.
Provide ongoing insights to marketing, customer experience, and leadership teams to help refine strategy, messaging, and expansion efforts.
Stay informed on market trends, resident preferences, and competitive dynamics to inform sales positioning.
Represent Lumos with professionalism and integrity, contributing to a positive brand reputation in the MDU space.
What You'll Bring:
Proven track record of negotiating and closing complex agreements with multiple stakeholder groups.
Strong business acumen with an understanding of property management structures and operations.
Excellent communication and presentation skills, including comfort engaging C-level or board-level audiences.
Proficiency with CRM platforms such as Salesforce.
Experience working cross-functionally to support project delivery and customer satisfaction.
What Makes You a Great Fit:
5+ years of B2B sales experience, with a strong preference for telecom, real estate, or MDU environments.
Bachelor’s degree in Business, Communications, or a related field preferred.
Experience in the fiber, telecom, or broadband industry strongly preferred.
Self-motivated, consultative, and adaptable, able to thrive in a fast-paced, growth-oriented environment.
Ability to travel regionally for onsite meetings, property tours, and partner engagement.
Physical Requirements
Frequently operates a computer, phone, and standard office tools.
Ability to travel to properties and regional offices as needed.
Near-constant use of sight, speech, hearing, comprehension, and reasoning.
Must be able to sit or remain in a stationary position for extended periods.
Benefits & Perks:
Our commitment to communities includes recruiting and rewarding the Lumos team members who are working together to build a brighter tomorrow.
We have:
Comprehensive health, dental, and vision coverage.
Competitive compensation packages, including bonus options for eligible positions.
Paid Time Off & Paid Holidays.
Health Savings Accounts (HSAs) and Flexible Spending Accounts (FSAs).
100% employer-paid life and disability insurance.
Employee Assistance Program (EAP) with access to professional support for life’s challenges.
401K plan w/ up to 5% employer contribution and a self-directed brokerage option.
Wellness program offering education and cash incentives for gym attendance and nutrition programs.
Employee referral bonuses.
Discounts on Lumos Fiber Internet for employees who live in our service areas.
Discounts on T-Mobile wireless service and select features for lines.
Applicant Eligibility Notice:
Applicants must be at least eighteen (18) years of age at the time of application.
At Lumos we recruit, hire, employ, train, promote, and compensate individuals based on job-related qualifications and abilities. We have a longstanding policy of providing a work environment that respects the dignity and worth of each individual and is free from all forms of employment discrimination, including harassment, because of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We will provide reasonable accommodation to qualified individuals
with disabilities or based on a sincerely held religious belief, in accordance with applicable laws.
leadNew York City, NY; About half of your time will be spent delivering ILT hands-on technical instruction in New York and remotely across European time zones; Deliver hands-on technical instruction across Anthropic’s onboarding, residency, and technical enablement programs, in person in New York and remotely across European time zones; Experience teaching across time zones or to European audiences, including coaching instructors from recorded sessions
San Francisco, CA | New York City, NY
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
ГибридleadRotterdam, Netherlands; We do not relocate candidates from outside the country; It's a small, lean and focused team working remotely across European time zones, with you connecting it to the wider company from our Rotterdam office
San Francisco, CA | New York City, NY
Seoul, South Korea
New York City, NY
New York City, NY; San Francisco, CA | New York City, NY
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