Implementation Specialist
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:
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.
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.
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