Strategy Jobs at Anthropic with Visa Sponsorship
Strategy jobs at Anthropic sit at the intersection of AI research and commercial decision-making, covering areas like corporate strategy, policy, business development, and go-to-market planning. Anthropic sponsors visas including H-1B visa, H-1B1 visa, and E-3 visa for qualified international candidates pursuing these roles.
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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 GTM Strategy & Operations, Frontier team coordinates how Anthropic's research reaches the market: how we run model launches commercially, how we partner with Capacity teams to allocate a finite compute supply across customers and surfaces, and how we translate what the field learns into reads that Research, Product, Finance, and GTM leadership act on. One tangible example of the work this role will contribute to is new model and product introduction: the end-to-end commercial run of a model, product or capability release, from identifying market opportunities to preparing customer cohorts and the field through to the adoption readout that shapes where we go from there. We are hiring for someone who can run a high-stakes cross-functional program where the bar for execution is sky high, author the strategic analysis and readouts executive leadership needs, and create and optimize repeatable methodologies. This role reports to the Global Head of GTM Strategy & Operations, Frontier, and sits at the interface between GTM, Applied AI, Product, Research, Security & Safeguards, Finance, and Compute.
Key responsibilities
Run launches:
- Serve as GTM DRI for product and model launches: own account selection for pre-launch, coordinate field readiness across scaled pre- and post-sales teams, and run the launch-week operating room with extreme ownership.
- Synthesize customer adoption signal (usage patterns, migration behavior, qualitative feedback from the field) into actionable reads for executive leadership across the company.
- Design and run the field response loop: how AE, CS, Applied AI and customer response and feedback gets captured, triaged, and routed to the teams who can act on it.
Evolve the NPI methodology:
- Design and iterate GTM's NPI methodology across both standard releases and managed-access programs, including operating cadence, roles and handoffs with field teams, and the bar for launch readiness.
- Carry the executive reporting cadence for launches: what leadership teams see, how often, and how we make adoption trends legible early as well as retrospectively in a continual sprint environment.
Partner Across The Company:
- Act as GTM's primary interface to Product S&O and Research on launch planning, ensuring commercial readiness is sequenced with product/model readiness.
- Work with Sales Strategy & Operations partners, Applied AI, and Customer Success on field execution, ensuring the launch motion lands consistently across segments and regions.
- Partner with Capacity teams on rate limits, provisioning, and capacity planning for account cohorts, assessing capacity-efficiency opportunity and executing against it with customer value at the core.
- Collaborate on protect-play targeting, sequencing, and post-launch competitive response when external launches and ours overlap.
Minimum Qualifications
- Experience in product operations, PMM operations, release management, management consulting, or GTM strategy & operations.
- Built and run high-stakes, operations-heavy programs with many cross-functional dependencies at a high-velocity product company, with a track record of turning effective heroics into a repeatable, scaled methodology.
- Ability to quickly weigh, select, and execute the balance between business, safety, and repeatability considerations.
- Written for and presented to senior executives; you can produce the readout leadership reads and hold the room with Product, Research, and Finance counterparts.
- Exceptional analytical skills, rooted in data but never without corresponding actionable insights. You can design the metrics and reporting that make a program legible, distinguish signal from noise in a messy week-one read, and work with analytics engineering teams to evolve data design to be fit for purpose.
- A bias toward extreme ownership - you see the gap, you fill it, and you hold the outcome regardless of where the org lines fall.
- Bachelor's degree required.
Preferred Qualifications
- Strong analytical foundation: SQL and code-level data proficiency, sophisticated modeling in Sheets or Excel, and experience with BI tools (Looker, BigQuery, or similar).
- Experience at an AI, developer-tools, or API-first company with consumption-based pricing (ideally as well as B2B SaaS).
- Strong familiarity with, if not direct experience in, commercial roles (sales, rev ops, product marketing) or product management in addition to operations.
- Familiarity with safety, trust & safety, or security-review processes in a product context.
- Demonstrated success operating in ambiguity at a company where the product and the operating model are both changing fast.
Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary
$270,000—$270,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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 GTM Strategy & Operations, Frontier team coordinates how Anthropic's research reaches the market: how we run model launches commercially, how we partner with Capacity teams to allocate a finite compute supply across customers and surfaces, and how we translate what the field learns into reads that Research, Product, Finance, and GTM leadership act on. One tangible example of the work this role will contribute to is new model and product introduction: the end-to-end commercial run of a model, product or capability release, from identifying market opportunities to preparing customer cohorts and the field through to the adoption readout that shapes where we go from there. We are hiring for someone who can run a high-stakes cross-functional program where the bar for execution is sky high, author the strategic analysis and readouts executive leadership needs, and create and optimize repeatable methodologies. This role reports to the Global Head of GTM Strategy & Operations, Frontier, and sits at the interface between GTM, Applied AI, Product, Research, Security & Safeguards, Finance, and Compute.
Key responsibilities
Run launches:
- Serve as GTM DRI for product and model launches: own account selection for pre-launch, coordinate field readiness across scaled pre- and post-sales teams, and run the launch-week operating room with extreme ownership.
- Synthesize customer adoption signal (usage patterns, migration behavior, qualitative feedback from the field) into actionable reads for executive leadership across the company.
- Design and run the field response loop: how AE, CS, Applied AI and customer response and feedback gets captured, triaged, and routed to the teams who can act on it.
Evolve the NPI methodology:
- Design and iterate GTM's NPI methodology across both standard releases and managed-access programs, including operating cadence, roles and handoffs with field teams, and the bar for launch readiness.
- Carry the executive reporting cadence for launches: what leadership teams see, how often, and how we make adoption trends legible early as well as retrospectively in a continual sprint environment.
Partner Across The Company:
- Act as GTM's primary interface to Product S&O and Research on launch planning, ensuring commercial readiness is sequenced with product/model readiness.
- Work with Sales Strategy & Operations partners, Applied AI, and Customer Success on field execution, ensuring the launch motion lands consistently across segments and regions.
- Partner with Capacity teams on rate limits, provisioning, and capacity planning for account cohorts, assessing capacity-efficiency opportunity and executing against it with customer value at the core.
- Collaborate on protect-play targeting, sequencing, and post-launch competitive response when external launches and ours overlap.
Minimum Qualifications
- Experience in product operations, PMM operations, release management, management consulting, or GTM strategy & operations.
- Built and run high-stakes, operations-heavy programs with many cross-functional dependencies at a high-velocity product company, with a track record of turning effective heroics into a repeatable, scaled methodology.
- Ability to quickly weigh, select, and execute the balance between business, safety, and repeatability considerations.
- Written for and presented to senior executives; you can produce the readout leadership reads and hold the room with Product, Research, and Finance counterparts.
- Exceptional analytical skills, rooted in data but never without corresponding actionable insights. You can design the metrics and reporting that make a program legible, distinguish signal from noise in a messy week-one read, and work with analytics engineering teams to evolve data design to be fit for purpose.
- A bias toward extreme ownership - you see the gap, you fill it, and you hold the outcome regardless of where the org lines fall.
- Bachelor's degree required.
Preferred Qualifications
- Strong analytical foundation: SQL and code-level data proficiency, sophisticated modeling in Sheets or Excel, and experience with BI tools (Looker, BigQuery, or similar).
- Experience at an AI, developer-tools, or API-first company with consumption-based pricing (ideally as well as B2B SaaS).
- Strong familiarity with, if not direct experience in, commercial roles (sales, rev ops, product marketing) or product management in addition to operations.
- Familiarity with safety, trust & safety, or security-review processes in a product context.
- Demonstrated success operating in ambiguity at a company where the product and the operating model are both changing fast.
Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary
$270,000—$270,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
See all Strategy Jobs at Anthropic
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Strategy Jobs at Anthropic.
Get Access To All JobsTips for Finding Strategy Jobs at Anthropic
Frame Your Experience Around AI Strategy
Anthropic hires strategy professionals who can think rigorously about frontier AI development, not just general corporate planning. Tailor your resume and portfolio to show experience with technology strategy, research commercialization, or policy in science-intensive industries.
Target Roles That Align With Your Visa Type
If you hold an E-3 or H-1B1 visa, confirm the specific Strategy role requires a specialized degree field before applying. Anthropic files across multiple visa categories, so identifying which classification fits your background sharpens your approach before the offer stage.
Research Anthropic's Strategic Priorities Before Interviews
Anthropic's strategy function is deeply tied to responsible AI deployment and safety research. Demonstrating fluency in their published research agenda and policy positions signals you can operate in a science-led environment, which hiring managers weight heavily for Strategy roles.
Prepare Your Specialty Occupation Documentation Early
USCIS scrutinizes H-1B petitions for Strategy roles more closely than for technical positions. Gather evidence that your specific role requires a relevant bachelor's degree or higher, including job descriptions, your degree transcripts, and any credential evaluations for non-U.S. qualifications.
Use Migrate Mate to Find Open Strategy Roles at Anthropic
Anthropic posts Strategy openings across multiple job boards, making it hard to track which roles actively support visa sponsorship. Migrate Mate filters verified sponsoring employers so you can surface current Anthropic Strategy listings without manually screening each posting.
Align Your Start Date With H-1B Cap Timing
If you need a cap-subject H-1B, USCIS accepts petitions in April for an October 1 start date. Coordinate your offer and negotiations with Anthropic's recruiting team early enough that your petition can be filed in the relevant registration window without delaying your start.
Frequently Asked Questions
Does Anthropic sponsor H-1B visas for Strategys?
Yes, Anthropic sponsors H-1B visas for Strategy roles. The company has a consistent record of filing H-1B petitions across corporate functions, including strategy and business operations. If you're in the H-1B lottery pool or need a transfer from an existing H-1B, Anthropic's recruiting team handles sponsorship through the standard USCIS petition process.
Which visa types does Anthropic sponsor for Strategy roles?
Anthropic sponsors H-1B, H-1B1 visa, and E-3 visas for Strategy positions. H-1B is available to most nationalities, while H-1B1 is reserved for Chilean and Singaporean nationals and E-3 for Australian citizens. All three require the role to qualify as a specialty occupation under USCIS guidelines, which Strategy roles at a research-intensive company like Anthropic typically satisfy.
What qualifications does Anthropic expect for Strategy roles?
Anthropic generally looks for candidates with a bachelor's degree or higher in a relevant field such as economics, business, public policy, or a technical discipline. For senior Strategy roles, prior experience in management consulting, venture capital, or technology policy is common. Roles tied to AI safety or research strategy may also value familiarity with machine learning research environments.
How do I apply for Strategy jobs at Anthropic?
Applications go through Anthropic's careers page, where Strategy roles are listed under business and operations functions. You can also browse verified sponsoring employers and filter for open Anthropic Strategy positions on Migrate Mate, which surfaces roles confirmed to support visa sponsorship. Tailor your application to highlight experience relevant to AI-driven industries rather than general strategic planning.
How do I manage the timeline between an offer and my visa filing?
Once Anthropic extends an offer, your employer typically initiates the H-1B or E-3 petition process, which includes filing a Labor Condition Application with the DOL before USCIS receives the I-129 petition. For cap-subject H-1B cases, registration opens in March and work authorization begins October 1 at the earliest, so build that gap into your start date discussions with the hiring team.