招聘

Staff Product Manager, Agentic Platform
New York, NY; San Francisco, CA; Washington, DC
·
On-site
·
Full-time
·
1mo ago
薪酬
$213,400 - $297,000
福利待遇
•Healthcare
•401(k)
•Equity
•Learning
•Commuter
必备技能
Product Management
Generative AI
Leadership
Data analytics
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:
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Agentic warfare and scenario planning
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Indications and warnings integration for the protection of critical continental level assets
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Deep research capability that can help evaluate thousands of pages of classified information
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Report generation for multiple customized report templates
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Text2SQL intelligence applications to make analysts more efficient and embed a culture of data-driven decision-making
You will:
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Develop enterprise grade solutions that leverage cutting edge AI and AI agents to drive value for public sector customers
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Work with executives at Scale and our customers to determine and execute the product strategy of the business.
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Own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launches
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Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market and finance.
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Develop a point of view and execute on turning the solutions we build into scalable software that we can commercialize across the industry
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Maintain a Top Secret security clearance
Ideally you'd have:
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Technical degree in computer science, engineering, or equivalent experience
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4+ years of experience in building ML-powered and / or enterprise-facing products
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Strong understanding of generative AI technologies and their applications in public or large-scale private sector settings
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Experience operating in a fast-paced environment with high ambiguity
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Exceptional leadership, presentation, and communication skills with the ability to influence cross-functional teams
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Data literacy and experience with data analytics
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Prior military or government experience
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Coding experience (e.g. Python)
Nice to haves:
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Experience building infrastructure and tooling to develop and support agentic applications.
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Experience working in startup environments building solutions for public sector / federal customers.
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Understanding of public / federal networks, infrastructure, and deployment constraints.
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TS/SCI Security Clearance
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, determined by work location and additional factors, including job-related skills, experience, 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:$237,600—$297,000 USDPlease 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 is:$213,400—$267,300 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.
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, Cisco, DLA Piper, 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 accommodations@scale.com. 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.
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关于Scale AI

Scale AI
Series CAccelerate the development of AI applications.
501-1,000
员工数
San Francisco
总部位置
$7.3B
企业估值
评价
3.7
10条评价
工作生活平衡
2.8
薪酬
3.5
企业文化
3.9
职业发展
3.2
管理层
2.6
65%
推荐给朋友
优点
Innovative and interesting work/projects
Supportive team and colleagues
Learning environment and mentorship opportunities
缺点
Fast-paced and stressful environment
Poor management and lack of direction
Long hours and heavy workload
薪资范围
3个数据点
Junior/L3
L3
L4
L5
L6
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Product Manager
0份报告
$173,333
年薪总额
基本工资
-
股票
-
奖金
-
$147,333
$199,333
面试经验
5次面试
难度
3.2
/ 5
时长
14-28周
录用率
20%
体验
正面 20%
中性 60%
负面 20%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview
5
Final Round
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
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