Role Details
Estimated based on role seniority, company stage (Series F), and industry benchmarks. Actual compensation may vary.
How is this calculated?
Based on Web3 & AI industry compensation data. Seniority is inferred from role title keywords. Company stage affects ranges: early-stage (−15%), late-stage/public (+10%).
Job Description
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 Gen AI 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 Gen AI customers, working with and being an advocate for customer data leaders and engineering/operations teams. You have a strong interest in how high-quality data can positively influence Gen AI models. Your bias towards finding not just one-off solutions, but repeatable and scalable ways to ensure we continually deliver. 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 make 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.You will:
- Build and drive some of our most critical operational processes: the consistent, on-time delivery of Data Engine product and services, and revenue consumption for our customers
- Build and oversee levers with a relentless focus on SLA achievement and quality improvement
- Review, track and improve operational performances and be obsessed with continuous improvement
- Oversee on-boarding and successful implementation for new 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 and advocate for their fixes with Scale engineers
- Work directly with customer's engineering teams, partnering with customer-facing MLEs and Field Engineering
- Work directly with customer's engineering teams, answering questions and addressing issues with use of our API
- Create an effective feedback loop between the front line, product, strategy, and customers
- Collaborate with stakeholders to improve processes for new and existing customers
Ideally you'd have:
- 4-9 years of total work experience, with experience in consulting or as 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, Economics, Statistics, Engineering)
- A proven track record in B2B client facing roles and expanding client relationships
- Ability to understand APIs and the ML training lifecycle and build great relationships with technical customers
- Great cross-functional experience and collaborative ability
- Excellent verbal and written communications
- A track record of structured, analytics-driven problem solving
- A history of diligence and organization across multiple work streams
- 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
Nice to haves:
- Prior experience at an API technology company and/or managing technical customers using an API
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects th
About Scale AI
AI data infrastructure. Labeling, evaluation, and fine-tuning for foundation models.
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