Jobs

Manager, Sales Development - Enterprise
San Francisco, CA | New York City, NY
·
On-site
·
Full-time
·
2w ago
Compensation
$165,000 - $235,000
Benefits & Perks
•Equity
•Parental Leave
•Flexible Hours
•Learning Budget
•Equity
•Parental Leave
•Flexible Hours
•Learning
Required Skills
BDR/SDR team management
Enterprise sales
Account-based selling
Salesforce
Sales analytics
Executive engagement
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.
Role Overview:
As a Sales Development Manager for Enterprise at Anthropic, you will lead a strategic BDR team focused on generating high-value pipeline within complex enterprise organizations. You will build and manage a team of 6-10 BDRs who specialize in account-based prospecting, multi-threaded outreach, and sophisticated qualification of enterprise opportunities. This role requires a leader with deep understanding of enterprise sales cycles, complex organizational dynamics, and the patience to develop long-term strategic accounts.
Key Responsibilities:
Build, lead, and scale a team of 6-10 BDRs focused on Enterprise segments
Drive strategic pipeline generation through account-based prospecting and targeted outbound campaigns to G2000 accounts
Partner with Enterprise AEs to develop account plans, coordinate multi-threaded outreach, and ensure quality opportunity handoffs
Establish and track KPIs focused on opportunity quality, deal size, and strategic account penetration
Create comprehensive training programs on enterprise prospecting, stakeholder mapping, and complex qualification
Develop deep understanding of enterprise buying processes and coach team on navigating procurement, legal, and security requirements
Own Pipeline Reviews with sales leadership covering enterprise pipeline health, account penetration, and competitive positioning
Build strong relationships with cross-functional leaders and partners including Sales, Rev Ops, Strategy, and Marketing
Coach and mentor BDRs on strategic prospecting, executive engagement, and career development toward enterprise AE roles
Qualifications:
3-5 years of experience managing BDR/SDR or New Business AE teams, with significant experience in enterprise-focused organizations
Proven track record of building teams that successfully prospect into complex enterprise organizations
Personal closing experience strongly preferred (former AE, Account Manager, or hybrid IC/management role)
Experience with account-based marketing/selling strategies and tools
Strong analytical skills with experience developing sophisticated prospecting systems
Experience with Claude, Claude Code, Salesforce, Apollo, AI Prospecting Tools, HubSpot, LinkedIn Sales Navigator, and other enterprise sales tools
Demonstrated ability to coach reps on navigating complex organizational structures and multi-stakeholder deals
Excellent communication skills with ability to engage at executive level
Experience in API-first, consumption-based, or platform business models preferred
Bachelor's degree or equivalent work experience
Preferred Experience:
Experience managing teams prospecting to Fortune 500 or Global 2000 accounts
Background in AI/ML, cloud infrastructure, or developer platforms
Track record of developing BDRs who successfully transition to enterprise AE roles
Experience building enterprise prospecting playbooks from scratch
Familiarity with enterprise procurement, security reviews, and legal processes
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:$165,000—$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
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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
Anthropic Company Reviews & WLB Discussions
4.8/5 overall rating. Compensation rated 4.9/5, Work-Life Balance rated 3.6/5 (lowest). Reports of 60+ hour weeks during peak periods.
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4.4/5 rating. 95% recommend to friend. Praised for mission-driven culture and compensation. Criticized for work-life balance and chaotic priorities.
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Detailed interview experience covering coding assessment, system design, and culture fit. Notes interview difficulty and long process.
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My 2025 Anthropic Software Engineer Interview Experience
First-hand account of interview process including 90-min CodeSignal, system design, and culture rounds. Describes process as rigorous but fair.
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