Engagement Manager

Scale's customer base is growing exponentially, and you will be on the front lines of ensuring that these customers become passionate, lifelong Scale partners. As a member of our Engagement Management team, you’ll be accountable for establishing customer relationships, driving revenue, hitting SLAs, and maintaining quality standards. You will work closely with one of Scale’s Robotics Data Engine customers, driving end-to-end engagements from new projects and pilots, owning the account execution, working cross-functionally to ensure Scale products and services are delivered consistently and on time, and driving account consumption.
You are the tip of Scale’s contact with our Robotics customers, working with and being an advocate for customer robotics, perception, and autonomy teams. You have a strong interest in how high-quality data—such as sensor data, annotations for perception models, simulation assets, and robot interaction logs—can positively influence robotics systems. You have a track record of managing customers to renewal, forecasting with customers, and supporting sales teams managing upsells. And you are naturally empathetic and excel at building long‑term relationships through diligent problem solving and thoughtful, strategic discussions. Within Scale, you will work cross‑functionally with Operations, Product Managers, Sales, and other teams as the primary customer operations advocate.
The blend of operations and customer management to drive our most important outcomes makes this a unique and exciting role at the heart of Scale's Data Engine operations. The ideal candidate is customer‑driven, analytical, empathetic, outcome‑focused, and above all someone who drives and inspires results.
Build and drive some of our most critical operational processes: the consistent, on‑time delivery of Data Engine products and services, and revenue consumption for our Robotics customers
Build and oversee levers with a relentless focus on SLA achievement and quality improvement
Review, track, and improve operational performance and be obsessed with continuous improvement
Oversee onboarding and successful implementation for new Robotics Data Engine projects
Manage the long‑term health of customers by identifying and preempting areas of risk or concern
Partner with clients to understand operational issues—such as data quality, edge‑case coverage, annotation needs, or sensor data workflows—and advocate for their fixes with Scale engineers
Work directly with customers’ autonomy, perception, and robotics engineering teams, partnering with customer‑facing MLEs and Field Engineering
Work directly with customers’ engineering teams, answering questions and addressing issues related to use of our API and robotics‑focused data tooling
Create an effective feedback loop between the front line, product, strategy, and customers
Collaborate with stakeholders to improve processes for new and existing customers
4–9 years of total work experience, with experience in consulting or in a technical program management role in industry
~ Associate / Senior Consultant / Engagement Manager role at a Big 3 consulting firm
~ A technical background (education or professional experience with CS, Robotics, Mechanical/Electrical Engineering, Controls, Economics, or Statistics)
~ A proven track record in B2B client‑facing roles and expanding client relationships
~ Ability to understand APIs, robotics data pipelines, and the ML training lifecycle, and build great relationships with technical customers
~ Excellent verbal and written communicationA track record of structured, analytics‑driven problem solving
~ An action‑oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results
~ Analytical, planning, and process improvement capability
~ Experience with reading SQL and/or another database language

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job‑related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. The base salary range for this full‑time position in the location of San Francisco is:
$PLEASE NOTE: Our policy requires a 90‑day waiting period before reconsidering candidates for the same role. Our products provide the high‑quality data and full‑stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We are expanding our team to accelerate the development of AI applications.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
#