Staff Product Manager, Agentic Platform

Role

Scale is at the forefront of the AI revolution, working across the US government, partners and allies around the world to unlock the potential of generative AI (GenAI).

We are seeking a product leader to join our team and play a pivotal role in building Agentic AI platforms to support national-level decisions, including for some of the nation's most important national security challenges.

The ideal candidate will have a strong understanding of product leadership, software engineering principles practices and deep experience with ML/AI application development, coupled with proven experience in managing complex projects with multiple stakeholder or AI-related projects within a government or highly regulated setting, emphasizing ethical AI deployment and robust risk management practices.

This role requires a strategic leader adept at navigating the complexities of government GenAI projects, ensuring Scale's public sector AI solution aligns with agency objectives and adheres to stringent security and compliance mandates.

The product manager will be responsible for the entire lifecycle of the generative AI platform, including product design, cross-program execution, capability prioritization, stakeholder engagement with various government entities, defining and managing engineering scope, developing detailed project plans, and overseeing resource allocation and budget management.

A key focus will be on ensuring that Scale's public sector AI solution operates securely within controlled network environments, and is configured properly to support government workflows, specifically those that relate to national defense.

Some examples of GenAI applications we build are

• Agentic warfare and scenario planning
• Indications and warnings integration for the protection of critical continental level assets
• Deep research capability that can help evaluate thousands of pages of classified information
• Report generation for multiple customized report templates
• Text2SQL intelligence applications to make analysts more efficient and embed a culture of data-driven decision-making

You will

• Develop enterprise grade solutions that leverage cutting edge AI and AI agents to drive value for public sector customers
• Work with executives at Scale and our customers to determine and execute the product strategy of the business.
• Own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launches
• Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market and finance.
• Develop a point of view and execute on turning the solutions we build into scalable software that we can commercialize across the industry
• Maintain a Top Secret security clearance

Ideally you'd have

• Active TOP SECRET security clearance (TS/SCI eligibility preferred)
• Technical degree in computer science, engineering, or equivalent experience
• 4+ years of experience in building ML-powered and / or enterprise-facing products
• Strong understanding of generative AI technologies and their applications in public or large-scale private sector settings
• Experience operating in a fast-paced environment with high ambiguity
• Exceptional leadership, presentation, and communication skills with the ability to influence cross-functional teams
• Data literacy and experience with data analytics
• Prior military or government experience
• Coding experience (e.g. Python)

Nice to haves

• Experience building infrastructure and tooling to develop and support agentic applications.
• Experience working in startup environments building solutions for public sector / federal customers.
• Understanding of public / federal networks, infrastructure, and deployment constraints.

Pay and benefits

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 reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$210,000—$345,000 USD

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado, Hawaii is:

$200,000—$311,000 USD

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.

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.