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Implementation Specialist

AnthropicSan Francisco, California, United States | Ca New York City, New York, United StatesOnsite

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 a driven and technically savvy Implementation Specialist to join our growing team. In this role, you will be instrumental in driving the successful roll-out and early adoption of Claude for Enterprise among our customers. You will work closely with cross-functional teams to ensure smooth deployments, provide technical guidance, and foster strong relationships with our enterprise clients.

Responsibilities:


  • Lead the end-to-end implementation process for Claude for Enterprise, from kick-off to successful deployment and early adoption
  • Develop and execute change management strategies to drive user adoption and maximize the value of Claude for Enterprise within customer organizations
  • Provide technical and product guidance, addressing customer questions and recommending best use cases
  • Collaborate with customers to set impactful, measurable success metrics for their Claude for Enterprise implementation
  • Manage project timelines, milestones, and stakeholder expectations throughout the deployment process
  • Conduct group training sessions and co-run enablement workshops with customers' L&D departments
  • Monitor usage and share insights with customers to drive continuous improvement and adoption
  • Serve as a liaison between Anthropic's product team and customers, capturing feedback and communicating product updates
  • Collaborate with Sales, Customer Success, and other internal teams to ensure smooth handoffs and consistent customer experiences

You may be a good fit if you:


  • Have 3-5 years of experience in a customer-facing implementation or consulting role, preferably in B2B SaaS or enterprise software
  • Possess strong project management skills with a track record of successfully managing complex, cross-functional projects
  • Excel at communication and presentation, with the ability to engage stakeholders at all levels of an organization
  • Are able to quickly learn and articulate complex product features and use cases
  • Have experience with change management methodologies and best practices
  • Are adaptable and possess a growth mindset, thriving in a fast-paced, evolving environment

Strong candidates may have:


  • Experience with AI, machine learning, or natural language processing technologies
  • Familiarity with enterprise IT environments and integration challenges
  • Proficiency in data analysis and have experience with creating and interpreting adoption metrics
  • Knowledge of cybersecurity and data privacy best practices

Deadline to apply: 

None. Applications will be reviewed on a rolling basis. 
The expected salary range for this position is:Annual Salary:$170,000—$170,000 USD

Logistics


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.

Compensation and Benefits*


Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.Equity - For eligible roles, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.US Benefits -  The following benefits are for our US-based employees:

  • Optional equity donation matching.
  • Comprehensive health, dental, and vision insurance for you and all your dependents.
  • 401(k) plan with 4% matching.
  • 22 weeks of paid parental leave.
  • Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
  • Stipends for education, home office improvements, commuting, and wellness.
  • Fertility benefits via Carrot.
  • Daily lunches and snacks in our office.
  • Relocation support for those moving to the Bay Area.

UK Benefits -  The following benefits are for our UK-based employees:

  • Optional equity donation matching.
  • Private health, dental, and vision insurance for you and your dependents.
  • Pension contribution (matching 4% of your salary).
  • 21 weeks of paid parental leave.
  • Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
  • Health cash plan.
  • Life insurance and income protection.
  • Daily lunches and snacks in our office.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

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.

Life at Anthropic

Anthropic PBC is a U.S.-based artificial intelligence (AI) startup company, founded in 2021, researching artificial intelligence as a public-benefit company to develop AI systems to “study their safety properties at the technological frontier” and use this research to deploy safe, reliable models for the public. Anthropic has developed a family of large language models (LLMs) named Claude as a competitor to OpenAI’s ChatGPT and Google’s Gemini.
Thrive Here & What We Value1. Mission-driven organization focused on creating safe and beneficial AI systems2. Collaborative team working towards long-term goals of steerable, trustworthy AI3. Emphasis on impact rather than smaller puzzles4. View AI research as an empirical science with physics and biology parallels5. Values communication skills and frequent research discussions to ensure highest-impact work6. Believes in big science approach to AI research7. Collaborative group that values impact over smaller puzzles8. Emphasizes collaboration and alignment across internal teams9. Commitment to creating reliable, interpretable, and steerable AI systems10. Values representation and diverse perspectives on the team.</s>
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