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.
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