Engagement Manager

BespokeLabs Inc.

Job Overview

Location

Mountain View

Job Type

Full-time

Full Job Description

📋 Description

• Own end-to-end execution of customer engagements with frontier AI labs and enterprise accounts, managing all phases from kickoff to delivery.
• Serve as the primary customer advocate inside Bespoke Labs, translating technical objectives from customer ML and research teams into actionable requirements for internal engineering, research, and data operations teams.
• Manage delivery rigor across multiple concurrent projects by tracking scope, timelines, SLAs, budgets, and quality metrics with precision and consistency.
• Proactively surface project risks with proposed solutions to ensure on-time, on-spec delivery and maintain customer trust.
• Identify and drive expansion opportunities within existing accounts by scoping follow-on projects and co-developing proposals with research and product leadership.
• Partner with data operations and engineering teams to refine delivery playbooks, tooling, and internal processes that scale across customer engagements.
• Build long-term customer partnerships through consistent responsiveness, high-quality execution, and deep understanding of technical workflows.
• Act as the key point of contact for customers, ensuring clear communication, alignment on deliverables, and satisfaction at every stage of engagement.
• Maintain detailed documentation of project requirements, decisions, changes, and outcomes to ensure transparency and continuity across teams and clients.
• Ensure all customer deliverables meet Bespoke Labs’ standards for technical accuracy, quality, and reliability, aligning internal outputs with external expectations.
• Coordinate cross-functionally between research, engineering, and data operations to resolve bottlenecks and accelerate project timelines without compromising quality.
• Represent Bespoke Labs externally as the face of the company, cultivating relationships that turn initial projects into sustained, high-value partnerships.
• Adapt quickly to evolving customer needs and technical landscapes in the fast-moving field of AI research and agent evaluation.
• Maintain rigorous attention to detail in tracking project milestones, deliverables, and client feedback to prevent scope drift and misalignment.
• Support the growth of Bespoke’s customer base by turning successful engagements into references, case studies, and repeat business.
• Participate in client onboarding, kickoff meetings, review sessions, and retrospectives to ensure smooth transitions and continuous improvement.
• Balance multiple high-stakes engagements with competing priorities while maintaining clarity, organization, and proactive communication.

🎯 Requirements

• 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
• Technical foundation via degree or working experience in CS, engineering, math, or another STEM field; ability to read technical specs and engage with ML researchers
• Demonstrated ability to manage multiple concurrent workstreams with precision and no dropped threads
• B2B client-facing experience where execution and delivery were core to the role, not just account management
• Action-oriented, scrappy disposition with a get-things-done attitude and strong written communication skills

🏖️ Benefits

• Hybrid work schedule based out of Mountain View office
• Opportunity to work with frontier AI labs and shape cutting-edge RL environments and agent evaluation benchmarks
• Exposure to state-of-the-art AI research and proprietary datasets like Open Thoughts and Terminal-bench
• Role in building and refining scalable delivery processes within a high-growth technical startup

Skills & Technologies

Hybrid

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BespokeLabs Inc.

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About BespokeLabs Inc.

BespokeLabs Inc. builds AI-driven software that personalizes digital experiences at scale. The platform ingests first-party user data to generate real-time content, messaging and product recommendations for e-commerce, media and SaaS companies, optimizing engagement and revenue without manual segmentation. Customers deploy lightweight JavaScript or server-side SDKs, configure goals and privacy controls, and receive continuously learning models that adapt to each visitor. Founded in 2019, the San Francisco–based company serves mid-market to enterprise clients across North America and Europe.

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