Strategic Finance Lead Jobs in USA with Visa Sponsorship
Strategic Finance Leads typically qualify for H-1B or O-1 visa sponsorship, as the role requires a bachelor's degree or higher in finance, economics, or accounting, meeting the specialty occupation standard. Employers in tech, private equity, and high-growth startups sponsor this title regularly. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsAbout Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About The Role
We are seeking a Strategic Finance Lead to provide finance leadership for our accelerator investments. In this role, you will be a key partner to our compute teams, providing financial expertise and guidance to optimize our compute investments and drive strategic decision-making. In this role, you’ll develop deep expertise in the economics of AI compute, from the unit economics of individual training runs to the long-range financial planning of our accelerator fleet. You’ll build financial models that inform Anthropic’s investment decisions, own planning and forecasting processes for major cost centers, and translate complex technical dynamics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and technology, and who is energized by building frameworks from scratch in a fast-moving environment.
Responsibilities
Accelerator Compute Finance:
- Finance lead for accelerator compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance
- Build and maintain detailed bottoms-up financial models for accelerator infrastructure, including long-range forecasts, cost driver analyses, and investment scenario modeling
- Develop deep expertise in accelerator compute contracts, pricing structures, and cost drivers, and surface optimization opportunities across our infrastructure
- Support the implementation and management of financial planning tools (e.g., Pigment), ensuring our models and processes scale with the organization
Model R&D Finance:
- Analyze the economics of model training and research compute, including ROI across different dimensions like training run sizes, chip types, data, etc, and track how these economics evolve over time
- Partner closely with engineering and research teams to understand how training and reinforcement learning processes scale, and translate those technical dynamics into financial frameworks
- Serve as the finance lead for all data partnerships and human data operations, including budgeting, forecasting, unit economics, and analysis
You May Be a Good Fit If You Have
- 7+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with infrastructure, datacenter, or technology infrastructure experience
- Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models
- Extraordinary problem-solving and critical thinking abilities to navigate complex financial challenges
- Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences
- Proven track record of partnering with technical teams to drive financial optimization initiatives
- Excitement about working in a fast-paced, dynamic environment and adapt well to change
- Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines
- Strong relationship building, business judgment, process management, and communication skills
- Are passionate about Anthropic's mission to build safe, transformative AI systems
- Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers, cloud service providers, etc
Strong Candidates May Also Have
- 3+ years of experience specifically in cloud infrastructure financial management
- Experience working directly with major cloud service providers (AWS, GCP, Azure)
- MBA or other advanced degree in finance, economics, or business
- Deep expertise in cloud service provider economics, contract structures, and pricing models
- Experience with chip architecture economics and optimization strategies
- Proficiency with financial modeling tools and languages (SQL, Python, Excel)
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
$190,000—$235,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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
We are seeking a Strategic Finance Lead to provide finance leadership for our accelerator investments. In this role, you will be a key partner to our compute teams, providing financial expertise and guidance to optimize our compute investments and drive strategic decision-making. In this role, you’ll develop deep expertise in the economics of AI compute, from the unit economics of individual training runs to the long-range financial planning of our accelerator fleet. You’ll build financial models that inform Anthropic’s investment decisions, own planning and forecasting processes for major cost centers, and translate complex technical dynamics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and technology, and who is energized by building frameworks from scratch in a fast-moving environment.
Responsibilities
Accelerator Compute Finance:
- Finance lead for accelerator compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance
- Build and maintain detailed bottoms-up financial models for accelerator infrastructure, including long-range forecasts, cost driver analyses, and investment scenario modeling
- Develop deep expertise in accelerator compute contracts, pricing structures, and cost drivers, and surface optimization opportunities across our infrastructure
- Support the implementation and management of financial planning tools (e.g., Pigment), ensuring our models and processes scale with the organization
Model R&D Finance:
- Analyze the economics of model training and research compute, including ROI across different dimensions like training run sizes, chip types, data, etc, and track how these economics evolve over time
- Partner closely with engineering and research teams to understand how training and reinforcement learning processes scale, and translate those technical dynamics into financial frameworks
- Serve as the finance lead for all data partnerships and human data operations, including budgeting, forecasting, unit economics, and analysis
You May Be a Good Fit If You Have
- 7+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with infrastructure, datacenter, or technology infrastructure experience
- Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models
- Extraordinary problem-solving and critical thinking abilities to navigate complex financial challenges
- Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences
- Proven track record of partnering with technical teams to drive financial optimization initiatives
- Excitement about working in a fast-paced, dynamic environment and adapt well to change
- Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines
- Strong relationship building, business judgment, process management, and communication skills
- Are passionate about Anthropic's mission to build safe, transformative AI systems
- Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers, cloud service providers, etc
Strong Candidates May Also Have
- 3+ years of experience specifically in cloud infrastructure financial management
- Experience working directly with major cloud service providers (AWS, GCP, Azure)
- MBA or other advanced degree in finance, economics, or business
- Deep expertise in cloud service provider economics, contract structures, and pricing models
- Experience with chip architecture economics and optimization strategies
- Proficiency with financial modeling tools and languages (SQL, Python, Excel)
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
$190,000—$235,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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.
How to Get Visa Sponsorship in Strategic Finance Lead
Target employers who have filed LCAs for finance roles
Companies that have previously sponsored financial analysts, FP&A managers, or finance directors are far more likely to sponsor a Strategic Finance Lead. Look for employers with a documented history of H-1B filings in finance functions, not just engineering.
Align your degree field directly to the role
H-1B approval for this title depends on demonstrating a direct connection between your degree and the job. Finance, economics, accounting, or business analytics degrees map cleanly. A general business degree with no finance specialization can create friction at USCIS.
Emphasize FP&A, modeling, and strategic planning experience
Sponsoring employers need to justify the specialty occupation requirement. Resumes that highlight financial modeling, scenario analysis, and cross-functional planning signal the specialized knowledge USCIS requires, making the petition stronger and faster to approve.
High-growth startups and tech companies sponsor most frequently
Series B and later-stage startups, SaaS companies, and fintech firms hire Strategic Finance Leads at high volume and have established immigration counsel on retainer. These employers are more accustomed to sponsorship and less likely to treat it as an obstacle.
Request premium processing if your OPT or status is time-sensitive
Standard H-1B processing can take several months. Premium processing guarantees a decision within 15 business days for an additional fee. If your OPT expiration or 60-day grace period is approaching, raise this with your employer before filing.
Prepare for possible RFEs on specialty occupation
USCIS occasionally issues Requests for Evidence on finance roles, questioning whether the position truly requires a specialized degree. Having a detailed job description, organizational chart, and degree equivalency letter ready in advance significantly reduces response time.
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Get Access To All JobsFrequently Asked Questions
Does a Strategic Finance Lead role qualify as a specialty occupation for H-1B purposes?
Yes, in most cases. USCIS evaluates whether the position normally requires at least a bachelor's degree in a specific field. Strategic Finance Lead roles that involve financial modeling, forecasting, and capital allocation analysis typically satisfy this standard, particularly when the job description specifies a degree in finance, economics, or accounting as a minimum requirement rather than a preference.
Which visa types are most commonly used to sponsor Strategic Finance Leads?
H-1B is the most common path. Australians can also pursue the E-3, which has no lottery and is significantly easier to obtain. Canadians and Mexicans may qualify under TN status using the Economist or Accountant categories, depending on the role's responsibilities. Exceptional candidates with a strong track record in finance leadership may also explore the O-1A for individuals with extraordinary ability.
How can I find Strategic Finance Lead jobs that offer visa sponsorship?
Migrate Mate is built specifically for this, it surfaces roles from employers actively willing to sponsor work visas, filtered by job title and visa type. Most general job boards don't filter by sponsorship status, so you end up applying to roles that won't move forward. Migrate Mate removes that friction and focuses your search on employers already open to sponsoring.
Will my degree field affect H-1B approval for this role?
Directly, yes. The H-1B specialty occupation standard requires a theoretical and practical application of highly specialized knowledge, which USCIS ties to your degree field. Finance, economics, accounting, and business analytics degrees align well with Strategic Finance Lead duties. A degree in an unrelated field, even a technical one, may require additional documentation or a credential evaluation to establish relevance.
What happens if USCIS issues an RFE on my Strategic Finance Lead H-1B petition?
An RFE for a finance role most commonly questions whether the position requires a specialized degree or whether your degree matches the role. Your employer's immigration attorney will draft a response with supporting evidence, a detailed job description, organizational chart, expert opinion letters, and your academic credentials. Response timelines are typically 60 to 87 days. Most well-documented petitions survive RFEs without denial.
What is the prevailing wage requirement for sponsored Strategic Finance Lead jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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