Engagement Manager

Posted Yesterday
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San Mateo, CA, USA
Hybrid
Mid level
Artificial Intelligence • Machine Learning • Robotics • Software
The Role
Serve as primary customer-facing leader driving technical alignment, cross-team delivery, onboarding, and operational excellence. Build systems and dashboards, track SLAs and account health, resolve issues with engineering, and create scalable processes to grow long-term B2B partnerships.
Summary Generated by Built In

About XDOF

At XDOF, we're at an inflection point. Frontier labs are racing to build general-purpose robots, and high-quality training data is the bottleneck. We're building the foundation behind the foundation models – the data collection systems, operational capability, exabyte-scale data warehouse, and software toolchain – to help our partners drive the field forward.

Job Responsibility

1. Customer Partnership and Technical Alignment

Lead and deepen relationships with customers, drive weekly technical syncs, and keep engineering, product, and operations aligned

Translate customer needs into clear internal workstreams while balancing customization with scalable solutions.

Represent both customer and internal engineering perspectives to ensure clarity, trust, and long term partnership.

2. Cross Team Coordination and Delivery Management

Coordinate deliverables across engineering, product, and operations to ensure smooth execution.

Manage expectations across time zones, maintain proactive communication, and keep customers informed on progress and risks.

Oversee day to day delivery, onboarding, weekly planning, and business reviews with an emphasis on relationship health and consistency.

3. Systems, Documentation, and Operational Excellence

Build systems, dashboards, and documentation that improve transparency, build customer confidence, and enhance deployment performance.

Track SLAs, quality metrics, revenue consumption, and overall account health, including relationship satisfaction metrics.

Identify risks early, communicate them clearly, and drive continuous improvement across deployments.

4. Issue Resolution and Product Feedback Loops

Work closely with engineers to diagnose issues and propose solutions while managing customer communication and expectations.

Close the loop between customer insights and product improvements to strengthen both the relationship and the platform.

Partner with customers to resolve blockers, advocate for impactful fixes, and maintain long term trust.

5. Process Building and Long Term Scalability

Create repeatable processes that improve customer success and reduce friction in future deployments.

Strengthen operations and customer relationship management for both new and existing customers through cross functional collaboration.

Build frameworks that help scale high quality, high touch customer experiences as the customer base grows.

Qualifications

Required

Background in consulting, technical program management, business development, or customer success.

Strong relationship management skills with a history of supporting B2B customers and growing accounts.

Technical fluency with systems, APIs, data flows, and integrations.

Comfort using SQL, dashboards, and data tools.

Bonus

Fluency in Chinese or experience working closely with China based teams.

Skills Required

  • Background in consulting, technical program management, business development, or customer success
  • Strong relationship management skills with history supporting B2B customers and growing accounts
  • Technical fluency with systems, APIs, data flows, and integrations
  • Comfort using SQL, dashboards, and data tools
  • Fluency in Chinese or experience working with China based teams
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The Company
0 Employees
Year Founded: 2024

What We Do

XDOF is the infrastructure partner for the world's most ambitious robotics builders, developing the tools, data, and services that accelerate the future of physical AI. They build the foundational infrastructure for robotics foundation models, including data collection systems, annotation pipelines, and exabyte-scale data infrastructure, helping frontier labs build general-purpose robots by solving the critical bottleneck of high-quality training data.

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