Customer Success Manager, AI Tech Learning and Enablement

Elevate the customer journey by translating product insights into lasting relationships and harness your expertise in proactive collaborations onboarding and product evolution. Enhance engineers journey by delivering Generative AI skills and new ideas to drive adoption and productivity.

As a Customer Success Manager in AI for Tech team you develop and maintain customer relationships that make our product value propositions a reality. Build and maintain strong relationships with our customers and understand their individual needs and activities as a core contributor of the team. You will be instrumental in advancing the engineers journey by imparting Generative AI skills and new ideas to boost adoption and productivity. Your role will leverage your expertise in proactive collaboration feedback sessions and deep product knowledge to cultivate a culture of continuous learning and proficiency.

Job responsibilities

• Drives product adoption expansion and retention activities to maintain a healthy customer base
• Conducts regular and proactive account meetings to share best practices provides use case demonstrations to illustrate key product functionality communicates future releases and gathers feedback on the impact the product and its features have on our customers business needs
• Guides customers through the onboarding process and sets up the product according to customer requirements leveraging a deep understanding of our products and their capabilities including new features and other enhancements
• Tracks key success metrics and provides data and feedback to the Product team to inform new features and priorities
• Design and implement training programs that elevate engineers skills in Generative AI recommending effective proficiency and can effectively apply AI technologies in their work
• Develop strategies to promote the adoption of Generative AI solutions enabling engineers to enhance productivity and achieve their plans of the future
• Foster a culture of continuous learning by providing ongoing educational opportunities and resources that keep engineers updated on the latest AI advancements and new ideas
• Facilitate collaboration between engineers and cross-functional teams to integrate Generative AI solutions into their workflows maximizing their potential and contributing to organizational innovation
• Conduct regular feedback sessions with engineers to gather insights and refine training content improving alignment with their unique needs and activities
• Leverage deep product knowledge to provide expert guidance and mentorship helping engineers navigate and succeed with Generative AI solutions
• Empower engineers by providing tools and resources needed to effectively leverage AI technologies driving their success and growth within the organization. Identify opportunities for innovation and growth through the effective use of Generative AI contributing to the organizations strategic plans of the future

Required qualifications capabilities and skills

• 5 years of experience or equivalent expertise in customer success roles in product or technology
• Demonstrated ability to influence product adoption and customer retention
• Excellent communication and interpersonal skills with the ability to effectively engage and influence stakeholders across all levels
• Proven ability to learn new technologies and teach it to others
• Comprehensive understanding of Dev Assist tools technologies concepts and practices enabling effective support and guidance for engineers
• Demonstrate ability to drive product adoption and enhance proficiency in Generative AI technologies ensuring engineers can leverage AI solutions effectively
• Excellent communication and interpersonal skills capable of engaging and influencing stakeholders across various levels
• Proficiency in journey mapping and process mapping to identify and address areas for improvement in engineer workflows
• Strong leadership project planning and execution skills to effectively manage learning initiatives and drive results.
• Ability to deliver clear concise presentations training sessions and workshops that enhance learning and proficiency good analytical and problem-solving skills with the ability to make data-driven decisions and prioritize features based on engineer needs and business plans of the future
• Good focus on understanding and addressing customer needs with a demonstration of improving customer satisfaction and engagement

Preferred qualifications capabilities and skills

• Experience in a business to business (B2B) environment or as a colleague in a customer environment
• Good analytical and problem-solving skills with the ability to make data-driven decisions and prioritize features based on engineer needs and business activities
• Specialized knowledge or certification in Generative AI technologies and their application in engineering contexts
• Familiarity with Product Development Life Cycle (PDLC) and Agile development in Software Development Life Cycle (SDLC) along with a solid grasp of DevOps practices methodologies and tools