Jobs
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
Anthropic is seeking an experienced Technical Productivity Manager to join our GTM Technical Productivity team. In this role, you will own the end-to-end technical onboarding experience for GTM new hires and build the technical enablement infrastructure that helps our go-to-market teams deeply understand and effectively sell Claude. This is a high-impact, high-ownership role for someone who thrives at the intersection of technical depth and scalable program design. You will work closely with Sales, Customer Success, Product, and Applied AI teams to ensure every GTM hire is productive, confident, and technically fluent from day one.
Responsibilities:
Own the technical onboarding problem space for all global GTM new hires
Take ownership of a technical sales onboarding program post-launch: gather feedback, identify gaps, iterate on curriculum, and improve metrics
Design and build success onboarding from scratch: scope, curriculum design, content coordination with trainers, assessments, and launch
Facilitate program-level sessions for both programs—orientation, cross-domain overviews, product deep dives, certification
Design assessments and certifications appropriate for each audience’s needs
Design systems to automate ongoing maintenance and administration of your programs
Track metrics for both programs and drive continuous improvement based on data and field feedback
Partner with Sales, Customer Success, Product, and Applied AI to keep content current and impactful
You may be a good fit if you have:
5-7 years of experience building content, programs and products in technical sales, program management, product, or software development
Experience both building new solutions from scratch AND iterating/improving existing solutions
Strong technical foundation—hands-on experience with AI-assisted software development, APIs, and modern tech stacks; able to learn new domains quickly
Experience designing for different audiences with different technical levels (e.g., engineers vs. salespeople)
Excellent facilitation and presentation skills; comfortable adapting delivery to audience
Strong coordination and stakeholder management skills
Strong candidates may also have:
Experience with AI/ML technologies, LLMs, or developer tools/APIs
Background in both product development AND sales/commercial enablement
Experience managing or coordinating subject matter experts, trainers, instructional designers, or content creators
Experience at high-growth startups
Prior experience building certification or assessment programs
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—$270,000 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 Reviews: Pros & Cons of Working At Anthropic
4.4/5 rating. 95% recommend to friend. Praised for mission-driven culture and compensation. Criticized for work-life balance and chaotic priorities.
News
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NaNw ago
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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NaNw ago
Anthropic Interview Experience & Questions
35.2% positive interview experience. Difficulty rating 3.29/5. Average hiring timeline 20 days. Some report 'worst interview' with rude hiring managers.
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NaNw ago
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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NaNw ago