Scale ai
Technical Delivery Lead
Overview
In this role, you will lead technical delivery for one of Scale's most consequential Public Sector programs, building AI-enabled planning and decision-support capability for major Department of War commands.
About Scale ai
Scale's Public Sector customer base is growing rapidly, and you will ensure that these customers become passionate, lifelong Scale partners.
Requirements & Eligibility
- An active TS/SCI clearance
- 7+ years of experience succeeding in stakeholder management or customer-facing role
- Experience leading or mentoring other program managers, engineers, or technical staff
- Demonstrated ownership of the technical delivery of a complex, multi-workstream program with senior government or enterprise stakeholders
- Technical background (education or professional experience with CS, Economics, Statistics, Engineering)
- Deep understanding of ML operations process
- Working knowledge of software delivery pipelines and DevOps principles
- A track record of structured, analytics-driven problem-solving
Key Responsibilities
- Lead and mentor a team of Technical Program Managers who own the program's key technical delivery areas, allocating scope, raising the technical bar, and unblocking them as they interface directly with stakeholders and end users
- Own the technical shape of what we deliver: whether we are combining Scale's products in the right way, extending them in the right way for this program, and being deliberate about what genuinely warrants a bespoke build
- Plan and sequence releases alongside engineering, anticipating technical risk early and putting engineering trade-offs in terms stakeholders can decide on
- Serve as the senior technical voice to program stakeholders and users, translating operational needs into delivery decisions the team can execute against
- Drive innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful solutions for Public Sector customers
- Leverage technical concepts, tools, and expertise to create solutions from scratch or drastically improve existing solutions
- Use data, analytics, and technical expertise to align internal resources and create tools that directly add value to customers in the public sector space
- Transition AI/ML technologies and processes into working Public Sector products / solutions even when requirements are undefined or ambiguous
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