Jobs

Strategy & Operations Manager, Enterprise Business Partner
San Francisco, CA | New York City, NY
·
On-site
·
Full-time
·
5d ago
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 GTM Strategy & Operations Business Partner supporting the AMER Enterprise organization, you will work closely with sales leadership to be a deep expert in a critical segment of our fastest-growing business. This role supports the AMER Enterprise team, one of Anthropic's largest and most strategically significant commercial organizations, and will partner directly with executives to drive strategic analysis, operational efficiency, and growth initiatives across emerging and developing verticals while supporting critical global strategic initiatives.
This includes segment analysis, facilitating operating cadences and powering business reviews, improving operational efficiency, driving strategic initiatives, and supporting the rapid evolution of our sales motions and organization.
We're building for a future where AI dramatically amplifies what strategy teams can accomplish. We're hiring people with the technical depth, business judgment, and executive potential to operate at that frontier — leveraging AI to eliminate routine work and redirect energy toward the strategic and creative challenges that move the business. This role will evolve rapidly, and we need someone with the ceiling and ambition to evolve with it.
Responsibilities:
Strategic Analysis, Operations & Planning
Partner with Global and AMER Enterprise segment leaders to analyze and refine segment-specific strategy including territory planning, resource allocation, performance to plan, and growth initiatives
Support development of targeted strategies across different customer segments and verticals based on their unique characteristics, product-market fit trajectories, and needs
Maintain excellence through business reviews and operating cadences to help achieve company revenue targets and strategic objectives
Be audible-ready about GTM efforts and a deep expert in your segment's book of business and trends with the ability to cut right to what matters for varying audiences from IC to executive
Data-Driven Decision Support
Analyze sales performance metrics and develop insights to optimize segment performance and improve efficiency using SQL, R, or Python to query, model, and visualize data at scale
Leverage Claude to its full capability
Partner to create, evolve and maintain reporting mechanisms, using data to go from "what" to "why"
Synthesize tangible, strategic recommendations based on go-to-market motions, deal outcomes, partner and customer feedback, and product opportunities
Build and maintain dashboards, models, and ad hoc analyses in spreadsheets and BI tools with mastery-level proficiency
Go-to-Market Execution
Develop and maintain use case frameworks to capture and standardize how customers derive value
Support multiple teams and executives in leveraging insights for new deals, expansions, and retention strategies
Partner with GTM teams to evolve and refine sales motions and best practices across segments and regions
Executive Stakeholder Management
Serve as a trusted strategic advisor to senior and executive stakeholders across the GTM organization, delivering insights and recommendations with clarity, conviction, and composure
Navigate high-stakes conversations with intense, demanding executives — maintaining poise under pressure while delivering candid, well-supported perspectives
Build deep credibility through consistent follow-through, proactive communication, and the ability to challenge assumptions respectfully when the data warrants it
Translate complex analyses into executive-ready narratives that drive decisions, managing up effectively across multiple senior leaders with competing priorities
Cross-Functional Collaboration
Work closely with Revenue Operations, Sales Enablement, Strategic Finance, and Product teams to drive initiatives and elevate excellence in course of business
Support coordination between AMER Enterprise sales segments and partnership teams
Help prepare materials for executive reviews and planning sessions
You may be a good fit if you have:
Must-Haves
Deep alignment to Anthropic’s mission
5+ years of experience in sales strategy, revenue operations, management consulting, or GTM operations
Proficiency in SQL or R — you can independently write queries, build models, and extract insights from large datasets without relying on others
Mastery of spreadsheet tools and data (Google Sheets / Excel) — pivot tables, complex formulas, data modeling, and scenario analysis are second nature to you
Strong analytical skills with the ability to translate data into actionable insights and compelling executive narratives
Deep experience with GTM systems like Salesforce and business intelligence tools (Looker, Tableau, etc.)
Proven executive stakeholder management skills — you have a track record of presenting to and influencing C-suite and VP-level leaders in high-intensity environments.
An ability to pull signal through noise and an internal drive to create clarity. You strive for simplicity as the most elegant solution to complex situations.
A demonstrated ability to build trust with and influence a variety of stakeholders, including colleagues and other members of the GTM Strategy and Revenue Operations team
A healthy balance of idealism with pragmatism and the highest internal bar for excellence. You have been accountable for the results of your recommendations.
Track record of driving forward high-growth sales organizations
Disciplined project management and exceptional communication and interpersonal abilities
A desire and readiness to do the best work of your career
Bachelor's degree required; MBA or advanced degree preferred
Preferred
Direct experience in a commercial role (pre-sales, customer-facing, partnerships, founder, etc.)
Experience in both large Enterprises in technology, finance or professional services, in addition to fast-paced startup building
Experience with AI/ML companies and consumption business models
Prior experience building frameworks for sales use cases or value propositions
Background in scaling sales organizations through 2-3x+ growth periods
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—$310,000 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
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About Anthropic

Anthropic
Series FAn AI safety and research company that builds reliable, interpretable, and steerable AI systems.
1,001-5,000
Employees
San Francisco
Headquarters
$60B
Valuation
Reviews
4.5
20 reviews
Work Life Balance
3.0
Compensation
4.5
Culture
4.8
Career
4.2
Management
3.5
100%
Recommend to a Friend
Pros
Exceptional team quality and talent
Cutting-edge AI and technical work
Strong mission-driven culture
Cons
Long working hours
Opaque leadership and management
High learning curve and fast pace
Salary Ranges
31 data points
L2
L3
L4
L5
L6
Mid/L4
L2 · Business Operations L2
0 reports
$417,690
total / year
Base
$167,076
Stock
$208,845
Bonus
$41,769
$292,383
$542,997
Interview Experience
5 interviews
Difficulty
4.0
/ 5
Offer Rate
40%
Experience
Positive 40%
Neutral 40%
Negative 20%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview
5
System Design Round
6
Final Round/Onsite
7
Offer
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
ML/AI Concepts
News & Buzz
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