Compensation
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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.
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.
- 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).
- 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.
- 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 packages at Scale for eligible roles 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 at Scale; it will be determined during the interview process based on work location and additional factors including job-related skills experience qualifications interview performance and relevant education or training. Scale employees in eligible roles are also granted equity based compensation subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including but not limited to: 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.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models and help enterprises and governments build deploy and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta Ernst & Young Mayo Clinic Time Inc. the Government of Qatar and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
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 [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect retain and use personal data for our professional business purposes including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs provide our services and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Skills Required
- 5+ years as a Technical Program Manager Product Manager or Software Engineer with a track record of building and shipping technical products or platforms
- 3+ years managing programs focused on core engineering infrastructure cloud-native ecosystems (AWS/GCP) container orchestration (Kubernetes) or distributed systems
- Foundational understanding of Generative AI infrastructure including high-throughput data pipelines GPU/CPU cluster utilization and model training/evaluation setups
- Proven ability to present to and influence executive-level stakeholders and translate technical challenges into business impact
- Advanced proficiency with iterative development methodologies and modern project management tooling (Linear Jira etc.) in infrastructure environments
- Prior professional experience as a Software Engineer DevOps Engineer or Data Developer
- Proven success driving internal adoption of technical platforms SDKs or APIs across product lines
- Experience with large-scale data quality pipelines distributed vector databases or AI inference engines (e.g. Triton Ray)
Scale AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Scale AI and has not been reviewed or approved by Scale AI.
- Healthcare Strength—Healthcare coverage is described as comprehensive across medical dental and vision with flexibility to choose plans that fit individual or family needs. A monthly wellness stipend further supports physical and mental wellbeing expenses.
- Equity Value & Accessibility—Equity-based compensation is included in eligible packages positioning ownership as a meaningful component of total rewards for many full-time roles. An employee stock purchase plan also provides an additional pathway to participate in potential upside.
- Leave & Time Off Breadth—Paid time off is positioned as generous with a flexible policy intended to support recharging and burnout prevention. Paid holidays and paid sick days are also part of the time-off offering.
Scale AI Insights
What We Do
Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR image video and NLP annotation APIs allow machine learning teams at companies like OpenAI Lyft Pinterest and Airbnb focus on building differentiated models vs. labeling data.
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