Technical Program Manager, Platform

Front Door Defense; New York (NY); On-site; USD 211,200 - 264,000; Full time

Benefits offered by this job

Equity-based compensation

Comprehensive health coverage

Learning and development stipend

Generous PTO

Job summary

jobs.frontdoordefense.com - Jobboard is seeking a Technical Program Manager, Platform based in New York. This role involves leading strategic AI infrastructure initiatives and collaborating with engineering teams to enhance the Scale Generative AI Platform.

The ideal candidate has over 5 years of technical program management experience and a strong background in managing cloud-native systems. This position offers competitive compensation and comprehensive benefits.

Qualifications

• 5+ years of experience in Program Management or Software Engineering.
• 3+ years managing engineering infrastructure or cloud-native systems.
• Understanding of AI/ML infrastructure lifecycle.

Responsibilities

• Lead strategic planning for SGP core capabilities.
• Drive execution across engineering and product teams.
• Translate technical metrics into actionable roadmaps.
• Establish processes empowering fast development.
• Track SGP adoption and report to leadership.

Skills

Technical Program Management

Cloud-Native Ecosystems (AWS/GCP)

Software Engineering Fundamentals

Project Management Tool Proficiency

Communication Skills

Job description

Technical Program Manager, Platform

Lead end-to-end delivery of Scale Generative AI Platform infrastructure initiatives

Location: New York (Also San Francisco, CA; New York, NY)

Compensation: $211,200 - $264,000 USD per year

Job Tags: Product

About The Role

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 and understands how to deliver robust, scalable developer tooling and distributed systems.

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.

Key Responsibilities

• 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.

Minimum 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 from scratch (e.g., internal cloud infrastructure, developer APIs, distributed systems, or ML platforms).
• Platform 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 systems.
• 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 setups.
• Masterful Communication: Proven track record of presenting to and influencing executive‑level stakeholders, with the ability to translate complex technical/architectural challenges into clear business impacts.
• Execution Excellence: Advanced proficiency with iterative development methodologies and modern project management tooling (Linear, Jira, etc.) applied to foundational infrastructure environments.

Nice‑to‑Have Qualifications

• Engineering Roots: Strong software engineering fundamentals, with prior professional experience as a Software Engineer, DevOps Engineer, or Data Developer before transitioning into program management.
• Platform Adoption Track Record: Proven success driving the internal adoption of technical platforms, SDKs, or APIs across disparate, fast‑moving product lines.
• Data‑Centric AI Familiarity: Direct experience working with large‑scale data quality pipelines, distributed vector databases, or specialized AI inference engines (e.g., Triton, Ray).

Compensation & Benefits

Compensation packages 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 and may be inclusive of several career levels. Scale employees in eligible roles are also granted equity‑based compensation, subject to Board of Director approval. Benefits include 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.

Legal and Equality Statements

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [e-mail].

We comply with the United States Department of Labor's Pay Transparency provision.

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