Technical Program Manager (Platform)

Scale AI; York and North Yorkshire; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Dental & Vision

Mental healthcare

PTO & flexibility

Job summary

Scale AI seeks a Technical Program Manager to accelerate the Scale Generative AI Platform. You will partner with engineering to drive end-to-end delivery of critical infrastructure initiatives, ensuring reliability, security, and global scalability.

You will align architecture with product goals, translate complex metrics into roadmaps, and manage risks in a fast-growth AI environment. You will lead cross-functional teams across engineering, Core ML, Research, and Product, defining clear SLOs

Qualifications

• 5+ years of experience as a Technical Program Manager, Product Manager, or Software Engineer with a proven track record of building and shipping technical products or platforms.
• AI/ML Infrastructure literacy: foundational understanding of data pipelines, GPU/CPU cluster utilization, or model training setups.
• Platform domain expertise: 3+ years managing programs focused on core engineering infrastructure, cloud-native ecosystems, container orchestration, or distributed systems.
• Masterful communication: ability to present to and influence executive stakeholders and translate complex challenges into business impacts.
• Execution excellence: proficient with iterative development methodologies and modern project tools (Linear, Jira).
• Data-centric AI familiarity: experience with data quality pipelines, vector databases, or AI inference engines.
• Platform adoption track record: success in internal adoption of platforms, SDKs, or APIs across product lines.
• Engineering roots: background as software/DevOps/data engineer before PM.

Responsibilities

• Lead strategic planning and high-velocity execution for SGP core capabilities from scoping to production launch.
• Coordinate dependencies across systems engineering, Core ML, Research, and Product teams to ensure architectural consistency.
• Translate infrastructure metrics into actionable roadmaps addressing multi-tenancy, privacy, and isolation requirements.
• Identify and mitigate risks for massive-scale GenAI infrastructure and global deployments.
• Define lightweight agile processes, set SLOs, and maintain production-grade reliability for clients.
• Track adoption and reliability metrics and report progress to executive leadership to scale the platform responsibly.

Skills

Technical Program Mgmt

Software Engineering

Executive Communication

Cross-functional Collaboration

GenAI Infrastructure

Tools

Jira

Linear

Kubernetes

Cloud APIs

Job description

• As a Technical Program Manager for the Platform team, you will partner with engineering teams to directly accelerate the development and maturity of the Scale Generative AI Platform (SGP)
• We are looking for a TPM who has actively built and shipped products in the past and understands how to deliver robust, scalable developer tooling and distributed systems
• In this role, you will own the strategic alignment and end-to-end execution of our most critical infrastructure initiatives—from initial scoping to measurable, company-wide and customer-ready adoption
• You will serve as the core communication backbone and connective tissue between platform engineering, product teams, and executive leadership
• Operating in a hyper-growth, demanding AI environment, you will translate SGP’s architectural complexities into clear execution strategies, unblock engineering bottlenecks, proactively mitigate deployment risks, and ensure our foundational platforms deliver reliable, performant, and secure systems capable of global-scale deployment
• Lifecycle & Platform Delivery: Lead strategic planning and high-velocity execution for SGP core capabilities (orchestration layers, model serving, APIs). Manage features from technical scoping and architecture design through production launch
• Cross-Functional GenAI Alignment: Drive execution and manage complex technical dependencies across systems engineering, Core ML, Research, and Product teams to deliver unified SGP capabilities with architectural consistency
• Technical Translation & Requirements: Translate complex infrastructure metrics (LLM inference optimization, GPU utilization, compute orchestration) into actionable roadmaps. Map demands like multi-tenancy, data privacy, and isolation into platform features
• Risk & Dependency Mitigation: Proactively identify, track, and mitigate technical risks unique to massive-scale GenAI infrastructure and global SGP deployments, maintaining momentum despite fast-evolving AI frameworks
• Developer Velocity & Operational Excellence: Establish lightweight agile processes that empower engineers to ship fast without breaking core systems. Define and enforce clear SLOs and performance benchmarks to guarantee production-grade reliability for clients
• Metrics-Driven Adoption: Track and report on SGP adoption metrics, system reliability, delivery forecasts, and engineering bottlenecks directly to executive leadership to ensure the platform scales responsibly

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.

5+ years of experience as a Technical Program Manager, Product Manager, or Software Engineer, with a proven track record of having built and shipped technical products or platforms from scratch (e.g., internal cloud infrastructure, developer APIs, distributed systems, or ML platforms)AI/ML Infrastructure Literacy: Foundational understanding of the infrastructure required for the Generative AI lifecycle, including high-throughput data pipelines, GPU/CPU cluster utilization, or model training/evaluation setupsPlatform Domain Expertise: 3+ years of dedicated experience managing programs focused directly on core engineering infrastructure, cloud-native ecosystems (AWS/GCP), container orchestration (Kubernetes), or distributed systemsMasterful Communication: Proven track record of presenting to and influencing executive-level stakeholders, with the ability to translate complex technical/architectural challenges into clear business impactsExecution Excellence: Advanced proficiency with iterative development methodologies and modern project management tooling (Linear, Jira, etc.) applied to foundational infrastructure environmentsData-Centric AI Familiarity: Direct experience working with large-scale data quality pipelines, distributed vector databases, or specialized AI inference engines (e.g., Triton, Ray)Platform Adoption Track Record: Proven success driving the internal adoption of technical platforms, SDKs, or APIs across disparate, fast-moving product linesEngineering Roots: Strong software engineering fundamentals, with prior professional experience as a Software Engineer, DevOps Engineer, or Data Developer before transitioning into program management