Scale AI13 days ago

Sr. Director, Forward Deployed Engineering

RUB 23,767–29,708per month · before tax
MARKET
16,167median for this role
Data Scientist · 79 jobs with disclosed pay
5,800half of the offers: 13,333–20,88843,793
Above market · above 84% of offers
New York

Responsibilities

  • 01Lead all US East enterprise customer engagements, serving as the senior technical and delivery executive for Scale’s most strategic accounts
  • 02Partner closely with Sales, Product, and Engineering leadership to support customer acquisition, expansion, and long-term success
  • 03Build and manage forward-deployed teams composed of applied scientists and full-stack software engineers, structured into customer-specific technical pods
  • 04Own end-to-end delivery execution for customer deployments, ensuring reliability, rigor, and measurable business impact
  • 05Guide teams in building production-grade, agentic AI applications for Fortune 500 enterprises
  • 06Establish and enforce an evals-first approach to customer deployments, ensuring performance, safety, and reliability standards are met
  • 07Lead senior-level technical conversations with customer executives, demonstrating Scale’s credibility as a trusted AI partner
  • 08Support technical upsell conversations by articulating architectural tradeoffs, capabilities, and future-state possibilities
  • 09Hire, develop, and mentor forward-deployed leaders and ICs, including training teams on executive-level customer interaction and professional standards
  • 10Help shape Scale’s regional forward-deployed strategy as part of a broader global and US restructuring

Requirements

  • 0112+ years of experience in software engineering, applied ML, or AI systems, with significant leadership responsibility
  • 02Proven experience leading customer-facing technical teams delivering complex systems for large enterprise customers
  • 03Executive presence and credibility with senior Fortune 500 stakeholders, including experience navigating high-stakes technical discussions
  • 04Strong technical foundation in either applied machine learning or full-stack / distributed systems engineering (strength in one, fluency in the other)
  • 05Demonstrated ability to translate ambiguous customer needs into concrete technical solutions and delivery plans
  • 06Experience partnering with sales and product teams in pre-sales, expansion, and delivery contexts
  • 07A track record of building, scaling, and managing high-performing multidisciplinary teams

What we offer

  • 01Comprehensive health, dental and vision coverage
  • 02Retirement benefits
  • 03Learning and development stipend
  • 04Generous PTO
  • 05Commuter stipend
  • 06Equity based compensation