Product Lead Jobs at Scale AI with Visa Sponsorship
Product Lead jobs at Scale AI sit at the intersection of data infrastructure and AI product strategy, requiring you to shape how human feedback powers machine learning systems. Scale AI has a consistent track record of sponsoring work visas for product hires, making it a viable target if you need employer support.
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Get Access To All JobsINTRODUCTION
Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions.
We're looking for an AI Product Manager to own the Finance vertical within our Agents Data & Reinforcement Learning Environments team. In this role, you'll own both the development of RL environments (the realistic, high-fidelity simulations of financial software and workflows that labs use to train and evaluate agents) and the "data as a product" strategy that powers them. You'll understand where AI is being used in the Finance industry, decide what financial tasks are worth modeling, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product.
The ideal candidate has lived inside the Finance industry, and is able to pair that domain understanding with a sense for AI research and current agent capabilities in Finance workflows.
You'll translate that expertise into environments and datasets that teach AI agents to perform real financial work, and you'll be the domain expert Scale's most important customers and their leading researchers turn to. A strong entrepreneurial & go-to-market mindset will be necessary.
- Own the Finance AI roadmap & data strategy: Set product direction for the Finance agents training stack and the data strategy behind it. Establish a vision for where AI is continuing to transform the Finance industry, driving execution across engineering, operations, and go-to-market teams.
- Build partnerships with research teams at frontier labs: Work directly with researchers at leading AI labs to understand where their Finance agentic capabilities fall short and shape new product lines and competitive strategy for the vertical. Connect with AI startups and industry leaders to launch joint benchmarks and build Scale's brand in Finance.
- Design and scale Finance-specific environments: Scope and build simulations of real Finance workflows and environments that let labs train and evaluate agents against real world scenarios. Partner with ML and Operations to translate the judgement, edge cases, and workflows you know from the industry into high quality training products.
- Collaborate cross-functionally: Influence business priorities and dive into the weeds of research, operations, and customer interactions to deliver mission-critical outcomes.
BASIC QUALIFICATIONS
- 3–6 years of direct experience in the Finance industry in one or more of: investment banking, private equity, trading, asset or portfolio management, or a fintech product role, with real depth in how the work gets done.
- AI-Forward Thinking: Quick to adopt AI solutions to streamline your day-to-day workflows and an ability to understand and articulate how it's transforming your industry.
- A builder's mindset: Excited by ambiguity and motivated to create new products from the ground up.
- Product or customer-facing experience: A track record of owning outcomes, shaping roadmaps, or working closely with technical stakeholders (formal PM experience is a plus but not required if domain depth is strong).
- ML Intuition & Technical Fluency: Enough intuition around how model training and evaluation works and what a Reinforcement Learning environment looks like. A software background is a plus.
- Bias for action: Comfort wearing multiple hats and operating in fast-moving environments.
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 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.
INTRODUCTION
Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions.
We're looking for an AI Product Manager to own the Finance vertical within our Agents Data & Reinforcement Learning Environments team. In this role, you'll own both the development of RL environments (the realistic, high-fidelity simulations of financial software and workflows that labs use to train and evaluate agents) and the "data as a product" strategy that powers them. You'll understand where AI is being used in the Finance industry, decide what financial tasks are worth modeling, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product.
The ideal candidate has lived inside the Finance industry, and is able to pair that domain understanding with a sense for AI research and current agent capabilities in Finance workflows.
You'll translate that expertise into environments and datasets that teach AI agents to perform real financial work, and you'll be the domain expert Scale's most important customers and their leading researchers turn to. A strong entrepreneurial & go-to-market mindset will be necessary.
- Own the Finance AI roadmap & data strategy: Set product direction for the Finance agents training stack and the data strategy behind it. Establish a vision for where AI is continuing to transform the Finance industry, driving execution across engineering, operations, and go-to-market teams.
- Build partnerships with research teams at frontier labs: Work directly with researchers at leading AI labs to understand where their Finance agentic capabilities fall short and shape new product lines and competitive strategy for the vertical. Connect with AI startups and industry leaders to launch joint benchmarks and build Scale's brand in Finance.
- Design and scale Finance-specific environments: Scope and build simulations of real Finance workflows and environments that let labs train and evaluate agents against real world scenarios. Partner with ML and Operations to translate the judgement, edge cases, and workflows you know from the industry into high quality training products.
- Collaborate cross-functionally: Influence business priorities and dive into the weeds of research, operations, and customer interactions to deliver mission-critical outcomes.
BASIC QUALIFICATIONS
- 3–6 years of direct experience in the Finance industry in one or more of: investment banking, private equity, trading, asset or portfolio management, or a fintech product role, with real depth in how the work gets done.
- AI-Forward Thinking: Quick to adopt AI solutions to streamline your day-to-day workflows and an ability to understand and articulate how it's transforming your industry.
- A builder's mindset: Excited by ambiguity and motivated to create new products from the ground up.
- Product or customer-facing experience: A track record of owning outcomes, shaping roadmaps, or working closely with technical stakeholders (formal PM experience is a plus but not required if domain depth is strong).
- ML Intuition & Technical Fluency: Enough intuition around how model training and evaluation works and what a Reinforcement Learning environment looks like. A software background is a plus.
- Bias for action: Comfort wearing multiple hats and operating in fast-moving environments.
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 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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Get Access To All JobsTips for Finding Product Lead Jobs at Scale AI
Frame Your AI Product Experience Precisely
Scale AI Product Leads own roadmaps tied to data labeling, RLHF pipelines, and enterprise AI integrations. Tailor your resume to show ownership of ML-adjacent products, not just general SaaS experience. Vague product backgrounds get filtered fast at this stage.
Verify Your Visa Type Matches the Role
Scale AI sponsors multiple visa categories, including H-1B, E-3, TN, and OPT. Confirm your current status is eligible before applying. F-1 OPT holders should account for the 90-day unemployment limit when timing applications around offer timelines.
Target Roles Tied to Core Business Units
Scale AI's hiring for Product Leads concentrates around its government, enterprise, and generative AI divisions. Applications aligned to these units are more likely to move to sponsorship-eligible headcount. Use DOL LCA disclosure data to identify which Scale AI teams file most frequently.
Use Migrate Mate to Surface Open Roles Efficiently
Scale AI posts Product Lead openings across multiple channels and not all are visible in one place. Use Migrate Mate to browse verified visa-sponsoring roles at Scale AI and filter by sponsorship type so you're only targeting positions where your status qualifies.
Clarify H-1B Timing Before Accepting an Offer
If you need a new H-1B and aren't currently cap-exempt, your start date depends on the April lottery and an October 1 effective date. Raise this with Scale AI's recruiting team early so both sides plan around USCIS processing windows, not just the offer close date.
Prepare a Specialty Occupation Brief for Your Role
USCIS scrutinizes product management titles during H-1B adjudication. Work with Scale AI's immigration counsel to document how your Product Lead position requires a specialized degree, not just general business acumen. Job descriptions citing ML systems, API strategy, or data infrastructure help establish this.
Frequently Asked Questions
Does Scale AI sponsor H-1B visas for Product Leads?
Yes, Scale AI sponsors H-1B visas for Product Lead roles. Because product management is a title that USCIS sometimes scrutinizes for specialty occupation status, Scale AI's immigration team typically builds a detailed support letter demonstrating why the role requires a degree in a specific technical or business discipline. Confirming this with your recruiter early in the process sets expectations on both sides.
How do I apply for Product Lead jobs at Scale AI?
Applications go through Scale AI's careers page. Before applying, verify the listing includes visa sponsorship language or confirm directly with the recruiter, since not every open role is approved for sponsorship. Migrate Mate is a reliable way to browse Scale AI's Product Lead openings pre-filtered by sponsorship eligibility, which saves time if your visa situation is a constraint.
Which visa types are commonly used for Product Lead roles at Scale AI?
Scale AI supports H-1B, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals, and F-1 OPT and CPT for recent graduates. For longer-term employment authorization, Scale AI also sponsors EB-2 and EB-3 Green Card pathways. The right visa depends on your nationality, current status, and how quickly you need authorization to start.
What qualifications does Scale AI expect for Product Lead roles?
Scale AI Product Lead roles typically require experience owning end-to-end product roadmaps in a technical environment, ideally involving data, AI, or API-driven products. A background in working directly with engineering and machine learning teams carries significant weight. Most senior Product Lead roles expect prior experience shipping products in a high-growth technology company, not just program or project management.
How do I time my application if I'm on F-1 OPT and targeting Scale AI?
If your OPT expiration falls within the next six to twelve months, apply early enough to receive an offer before the H-1B lottery registration window in March. Scale AI can file your H-1B cap-subject petition for an October 1 start date if you're selected. STEM OPT extension buys additional runway, but USCIS processing timelines mean late applications carry real risk of a gap in work authorization.