Senior Director of Forward Deployed Engineering, Scale AI
Applied AI
$285.2-356.5k
3+ days a week in office
Training and validation data for AI applications
Open for applications
Training and validation data for AI applications
1001+ employees
Open for applications
$285.2-356.5k
3+ days a week in office
1001+ employees
Company mission
To develop reliable AI systems for the world's most important decisions.
Role
Who you are
- 12+ years of experience in software engineering, applied ML, or AI systems, with significant leadership responsibility
- Proven experience leading customer-facing technical teams delivering complex systems for large enterprise customers
- Executive presence and credibility with senior Fortune 500 stakeholders, including experience navigating high-stakes technical discussions
- Strong technical foundation in either applied machine learning or full-stack / distributed systems engineering (strength in one, fluency in the other)
- Demonstrated ability to translate ambiguous customer needs into concrete technical solutions and delivery plans
- Experience partnering with sales and product teams in pre-sales, expansion, and delivery contexts
- A track record of building, scaling, and managing high-performing multidisciplinary teams
Desirable
- Experience deploying generative AI or agentic systems in production enterprise environments
- Background in consulting, forward-deployed engineering, or professional services for technical products
- Experience building evaluation frameworks for ML or AI system performance
- Prior responsibility for regional or multi-account technical leadership
What the job involves
- The Sr Director, Forward Deployed Engineering (US East) will lead Scale’s enterprise customer engagements across the Eastern United States
- This role sits at the intersection of customer leadership, applied AI, and execution—owning how Scale partners with Fortune 500 executives to design, build, and deploy AI-powered systems that deliver measurable business outcomes
- As a regional leader and peer to Scale’s existing Forward Deployed leadership, you will manage and grow multidisciplinary teams of applied scientists and full-stack engineers, shape how we deliver agentic AI applications in customer environments, and set the bar for executive-level customer engagement
- This is a high-impact leadership role in a period of regional expansion and organizational evolution
- Lead all US East enterprise customer engagements, serving as the senior technical and delivery executive for Scale’s most strategic accounts
- Partner closely with Sales, Product, and Engineering leadership to support customer acquisition, expansion, and long-term success
- Build and manage forward-deployed teams composed of applied scientists and full-stack software engineers, structured into customer-specific technical pods
- Own end-to-end delivery execution for customer deployments, ensuring reliability, rigor, and measurable business impact
- Guide teams in building production-grade, agentic AI applications for Fortune 500 enterprises
- Establish and enforce an evals-first approach to customer deployments, ensuring performance, safety, and reliability standards are met
- Lead senior-level technical conversations with customer executives, demonstrating Scale’s credibility as a trusted AI partner
- Support technical upsell conversations by articulating architectural tradeoffs, capabilities, and future-state possibilities (with commercial ownership held by AEs)
- Hire, develop, and mentor forward-deployed leaders and ICs, including training teams on executive-level customer interaction and professional standards
- Help shape Scale’s regional forward-deployed strategy as part of a broader global and US restructuring
Our take
When training AI models, lack of access to large scale, high quality, labelled data is often the barrier preventing machine learning teams from building something great. In fact, labelled data is even more essential than the algorithms themselves. Scale AI is solving this by providing easy access through developer APIs to a huge variety of labelled data sets covering a large range of areas within computer vision and natural language processing.
It seems that almost every company now is offering artificial intelligence enabled products to automate every aspect of our lives. So, by positioning themselves as the go-to source for high quality tagged data, Scale AI is in an excellent position as the AI sector continues it's exponential growth.
With innovative AI projects across a range of sectors including retail, energy, and healthcare, Scale AI is now a leader in the industry alongside OpenAI. It continues to forge partnerships with fintech tools and software engine developers such as Brex and Luminar to continue its evolution of digital markets.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
May 2024
$1bn
SERIES F
Apr 2021
$325m
SERIES E
Total funding: $1.6bn
Company benefits
- Health & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge. Note that our offerings may vary by region as we strive to respond to the unique needs of Scaliens around the globe.
- Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
- Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
- Parental Support: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.
Company HQ
Rincon Hill, San Francisco, CA
Leadership
Alexandr Wang
(Founder & CEO)Previously, Alexandr was an Algorithm Developer at Hudson River Trading, a Tech Lead and Quora and a Software Engineer at Addepar.
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