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 customersBuild and oversee levers with a relentless focus on SLA achievement and quality improvementReview, track and improve operational performances and be obsessed with continuous improvementOversee on-boarding and successful implementation for new Data Engine projectsManage the long-term health of customers by identifying and preempting areas of risk or concernPartner with clients to understand operational issues and advocate for their fixes with Scale engineersWork directly with customer's engineering teams, partnering with customer-facing MLEs and Field EngineeringWork directly with customer's engineering teams, answering questions and addressing issues with use of our APICreate an effective feedback loop between the front line, product, strategy, and customersCollaborate with stakeholders to improve processes for new and existing customersIdeally 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 FirmA technical background (education or professional experience with CS, Economics, Statistics, Engineering)A proven track record in B2B client facing roles and expanding client relationshipsAbility to understand APIs and the ML training lifecycle and build great relationships with technical customersGreat cross-functional experience and collaborative abilityExcellent verbal and written communicationsA track record of structured, analytics-driven problem solvingA history of diligence and organization across multiple work streamsAn action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver resultsAnalytical, planning, and process improvement capabilityExperience with reading SQL and/or another database languageNice to haves:Prior experience at an API technology company and/or managing technical customers using an APIThe base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle, is $127,200-$160,000. Compensation packages at Scale 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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Scale employees are also granted Stock Options that are awarded upon board of director approval. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
