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Engagement Manager
Bespoke LabsEngagement Manager overseeing customer relationships within AI labs and enterprises. Driving project delivery and ensuring alignment with customer expectations and internal teams.
About the role
Key responsibilities & impact- Engagement Manager primarily owning customer relationships for AI labs and enterprises.
- Drive engagements end-to-end from kickoff through delivery, ensuring quality of output.
- Act as a bridge by translating customer objectives to internal teams for project execution.
- Manage multiple concurrent engagements with attention to tracking, documentation and customer follow-up.
- Identify expansion opportunities and scope follow-on projects to drive growth.
Requirements
What you’ll need- Own end-to-end execution of customer engagements across frontier labs and enterprise accounts.
- Be the customer's voice inside Bespoke. Translate technical requirements between customer ML/research teams and our internal engineering, research, and data operations teams.
- Manage delivery rigor. Track scope, timelines, SLAs, budget, and quality across multiple concurrent projects. Surface risks early with proposed solutions.
- Drive growth within accounts. Identify expansion opportunities, scope follow-on projects, and shape proposals alongside our research and product leadership.
- Improve how we deliver. Partner with data operations and engineering to refine playbooks, tooling, and processes that compound across customers as we scale.
- Build trust that earns the next project. Make customers passionate, long-term partners through precision, responsiveness, and craft.
Benefits
Comp & perks- 1+ years as Engagement Manager at a fast growth data startup.
- 3–6 years of experience in customer engineering, forward-deployed engineering, project leadership at a high-growth company, or technical program management.
- A technical foundation, for example, a degree or working experience in CS, engineering, math, or another STEM field. You don't need to write production code, but you can read technical specs, ask sharp questions, and hold your own in a conversation with an ML researcher.
- A demonstrated ability to manage multiple concurrent workstreams with precision. You are the person on your current team who never drops a thread.
- B2B client-facing experience where execution and delivery were the core of the job, not just account management.
- An action-oriented, scrappy disposition, with a get-things-done attitude.
- Strong written communication.
ATS Keywords
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Soft Skills
customer relationship managementproject managementcommunicationrisk managementproblem-solvingattention to detailcollaborationresponsivenesstrust-buildinggrowth strategy