drjobs GTM Strategy and Operations, Customer Success

GTM Strategy and Operations, Customer Success

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

San Francisco, CA - USA

Monthly Salary drjobs

$ 190000 - 270000

Vacancy

1 Vacancy

Job Description

About Anthropic

Anthropics 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 Business Partner in this role you will work closely with Customer Success leadership. Partnering as a deep expert in customer activation retention expansion and portfolio optimization Youll analyze customer health evaluate existing metrics and suggest new frameworks to evolve the business optimize resource allocation across CSM and TSM teams in coordination with cross-functional partners like Applied AI drive operational efficiency in renewal processes and support the rapid evolution of our customer success motions. This role exists to materially improve the efficiency and effectiveness of Anthropics post-sales organization helping maximize customer lifetime value and drive sustainable growth.

Responsibilities

Strategic Analysis Operations & Planning

  • Partner with CS leadership to analyze and refine portfolio segmentation strategies including resource scaling allocation and coverage models
  • Develop and maintain customer health frameworks that predict renewal risk and expansion opportunities across different customer segments
  • Support development of targeted retention and expansion strategies based on customer usage patterns value realization metrics and competitive landscape
  • Maintain excellence through business reviews and operating cadences focused on gross retention net retention and customer satisfaction targets

Data-Driven Decision Support

  • Build and evolve customer health scoring models that incorporate product usage engagement metrics and business outcomes
  • Create predictive analytics for renewal forecasting and churn risk identification
  • Analyze CSM/TSM performance metrics to optimize book of business assignments and coverage ratios
  • Synthesize tangible recommendations for improving time-to-value adoption rates and expansion velocity

Customer Lifecycle Optimization

  • Design and implement scalable customer journey frameworks that maximize value realization at each stage
  • Develop playbooks for critical customer moments: onboarding adoption milestones renewal cycles and expansion opportunities
  • Create standardized success criteria and outcome measurements across different customer segments
  • Partner with Product to ensure customer feedback loops drive roadmap prioritization

Renewal & Expansion Excellence

  • Build data-driven renewal forecasting models and early warning systems for at-risk accounts
  • Develop expansion opportunity identification frameworks based on usage patterns and untapped use cases
  • Create pricing and packaging recommendations based on customer segmentation and value drivers
  • Support executive-level renewal negotiations with business case development and ROI analysis

Cross-Functional Collaboration

  • Work closely with Sales Product and Engineering teams to align on customer success initiatives and provide feedback regularly
  • Partner with Revenue Operations on management reporting systems integration and process automation
  • Collaborate with Finance on customer analysis to inform target setting and resource investment decisions
  • Support coordination between pre-sales (AE/AAI) and post-sales (CSM/TSM) teams for smooth handoffs

You may be a good fit if you have

  • 5 years of experience in customer success strategy revenue operations or management consulting with focus on SaaS/enterprise software
  • Deep expertise in customer health scoring renewal forecasting and portfolio optimization
  • Strong analytical skills with experience in CRM and customer analytics platforms and BI tools (e.g. Salesforce Looker Gainsight or Catalyst)
  • Proven track record of improving gross retention rates and net dollar retention in very fast paced high-growth environments
  • Experience with consumption-based pricing models and usage analytics strongly preferred
  • An ability to translate complex customer data into actionable strategic recommendations
  • Demonstrated success in building scalable customer success processes and playbooks
  • Strong project management and stakeholder influence skills across technical and business teams
  • A healthy balance of customer empathy with data-driven decision making
  • Experience with AI/ML customer implementations and technical account management preferred
  • A desire and readiness to do the best work of your career
  • Bachelors degree required; MBA or advanced degree preferred

Deadline to apply:None. Applications will be reviewed on a rolling basis.

The expected salary range for this position is:

Annual Salary:

$190000 - $270000 USD

Logistics

Education requirements: We require at least a Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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.

How were 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. Were 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 aboutour policyfor using AI in our application process

Employment Type

Full Time

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.