
Customer Engineering Manager III, AI/ML, Google Cloud
- Cambridge, MA
- Permanent
- Full-time
- Bachelor's degree or equivalent practical experience.
- 10 years of experience with cloud native architecture in a customer-facing or support role.
- Leadership experience, such as people management, team lead, mentorship, or coaching.
- Experience in, or supporting, FSI or HCLS industry.
- Ability to travel up to 25% of the time as required.
- Experience with software life-cycles, building tools and architecting and developing software for scalable, distributed systems, including data platform, AI/ML and infrastructure.
- Experience as a Pre-Sales Manager or a people manager in a technical customer-facing role within a professional service or Sales Engineering team.
- Experience managing a team through sales processes, operations and career development, including account mapping, quota setting, quarterly/annual performance management, and managing sensitive information.
- Experience engaging with and presenting to technical stakeholders and executive leaders, including tailoring and delivering compelling messages by audience, asking questions and leading conversations that drive business opportunities.
- Lead a team of customer engineers and build a growth culture, driving talent strategy and skills development to deliver successful cloud transformation outcomes for customers and accelerate business goals within the territory.
- Foster partnerships with key customers across the book of business, providing leadership on cloud, transformation and relevant industry trends.
- Partner with Google Cloud Sales leadership to define technical go-to-market strategies and execute the plan for the team's book of business.
- Balance technical leadership with operational excellence by leading workload and opportunity review meetings and providing insights into technical agreement and migration strategies, working directly with customers, partners and prospects.
- Collaborate cross-functionally across Google, partners, and teams to resolve technical roadblocks including capacity needs, constraints and product issues affecting customer satisfaction.