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.
Applied AI (AAI) is responsible for helping Anthropic's customers go from first contact with Claude to durable, expanding usage — and this team is the strategic and analytical backbone behind that motion. As the Strategy & Operations Business Partner for AAI AMER, you'll work side-by-side with regional field engineering leadership as a deep expert in the business: the metrics, the segments, the deals, and the trends that matter most to driving growth.
This is a high-autonomy, high-trust role. You'll partner directly with senior commercial leaders, build frameworks and operating rhythms, and translate ambiguous strategic questions into clear, actionable recommendations — then help carry those recommendations through to execution. You'll be one of the first people in this function, so you should be energized by building processes and structure from the ground up rather than inheriting them.
Key Responsibilities- Partner with AAI AMER leadership to build and evolve foundational metrics dashboards, and establish the operating rhythm for ongoing business reviews
- Lead the monthly business review process for your assigned segment(s) — from metric gathering through analysis and synthesis for leadership
- Partner with central Revenue Operations to define and standardize key metrics across segments as the business grows in complexity
- Develop a use case framework grounded in real signal — current CRM data, joining sales calls and pitch clinics, reviewing key customers, and working directly with the AAI team
- Build comprehensive segment analyses and strategy recommendations, identifying quick wins and prioritization frameworks, and help kick off the strategic initiatives that follow from approved recommendations
- Build strong relationships with regional leaders and act as a trusted, embedded thought partner
- Support GTM QBRs and related cross-functional workstreams as needed
- Design and implement improved processes for tracking and reporting on team priorities and strategic initiatives, and represent that work to stakeholders across the company
- Background in sales strategy, revenue operations, or management consulting, including direct experience in a commercial role (this is broad — presales, customer-facing, partnerships, and founder experience can all qualify)
- Strong analytical capabilities with a track record of converting data into actionable, well-supported recommendations
- Experience with GTM systems and business intelligence tools
- Proven ability to build trust and influence senior stakeholders without direct authority
- Experience designing and managing strategic planning processes and business reviews
- Bachelor's degree in business, economics, or a related quantitative field, or equivalent practical experience
- 10+ years of experience in sales strategy, revenue operations, or management consulting
- Experience in high-growth technology companies in GTM or sales-adjacent roles, particularly supporting a consumption-based or usage-driven business model
- Experience at AI/ML companies or in enterprise software sales
- Experience building frameworks for sales use cases or value propositions
- Background supporting sales organizations through 2-3x+ growth periods
- Candidates without direct commercial ownership experience will still be considered if they have long, deep tenure supporting commercial leaders in a closely comparable GTM model
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.
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.
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.
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