AI Product Engineer Jobs at Scale AI with Visa Sponsorship
AI Product Engineer roles at Scale AI sit at the intersection of machine learning infrastructure and product development, working directly on data labeling systems and AI evaluation pipelines. Scale AI has a consistent track record of sponsoring work visas across multiple categories for this function, making it a viable target for international candidates.
See All AI Product Engineer at Scale AI JobsOverview
Showing 5 of 77+ AI Product Engineer Jobs at Scale AI jobs


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?
See all 77+ AI Product Engineer Jobs at Scale AI
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Product Engineer Jobs at Scale AI.
Get Access To All Jobs
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 one of the Agent & Reinforcement Learning Environments data verticals, with a focus on Computer Using Agent (CUA) data.
In this role, you’ll oversee the product roadmap for your data vertical, owning “data as a product”, pipelines for data generation and quality, and researcher-facing tools that help labs train and evaluate intelligent agents in complex environments. You’ll work directly with Scale’s most important customers and their leading researchers, representing Scale as the technical expert for your products and influencing both internal and external roadmaps. The ideal candidate brings together a strong entrepreneurial & go-to-market mindset, technical depth, and a sense for AI research, enabling them to get in front of technical stakeholders to drive mission-critical outcomes.
YOUR ROLE AND RESPONSIBILITIES
You will:
- Own the roadmap for the Agent & RL Environment Data vertical, setting product direction and driving execution across engineering, operations, and go-to-market teams.
- Build technical partnerships with research teams at leading AI labs, identifying insights that shape new product lines and competitive strategies for your vertical.
- Design, experiment with, and deliver high-quality data pipelines, tooling, and evaluation frameworks that advance RL and agentic model capabilities.
- Scope out and scale the creation of RL environments that simulate real-world use cases.
- Collaborate cross-functionally, influencing business priorities and diving in the weeds of research, operations, and customer interactions.
BASIC QUALIFICATIONS
Ideally, You’d Have:
- Entrepreneurial mindset: A builder excited by ambiguity and motivated to create new products from the ground up.
- 6+ years of experience in product management or a customer-facing role.
- Technical fluency: Software engineering background (a degree in computer science or equivalent experience).
- Understanding of reinforcement learnings, simulation environments, or data pipelines for model training and evaluation.
- Strong customer intuition and the ability to translate technical requirements into impactful product decisions.
- Bias for action and comfort wearing multiple hats and operating in fast-moving environments.
COMPENSATION
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.
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $206,800—$258,500 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.

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 one of the Agent & Reinforcement Learning Environments data verticals, with a focus on Computer Using Agent (CUA) data.
In this role, you’ll oversee the product roadmap for your data vertical, owning “data as a product”, pipelines for data generation and quality, and researcher-facing tools that help labs train and evaluate intelligent agents in complex environments. You’ll work directly with Scale’s most important customers and their leading researchers, representing Scale as the technical expert for your products and influencing both internal and external roadmaps. The ideal candidate brings together a strong entrepreneurial & go-to-market mindset, technical depth, and a sense for AI research, enabling them to get in front of technical stakeholders to drive mission-critical outcomes.
YOUR ROLE AND RESPONSIBILITIES
You will:
- Own the roadmap for the Agent & RL Environment Data vertical, setting product direction and driving execution across engineering, operations, and go-to-market teams.
- Build technical partnerships with research teams at leading AI labs, identifying insights that shape new product lines and competitive strategies for your vertical.
- Design, experiment with, and deliver high-quality data pipelines, tooling, and evaluation frameworks that advance RL and agentic model capabilities.
- Scope out and scale the creation of RL environments that simulate real-world use cases.
- Collaborate cross-functionally, influencing business priorities and diving in the weeds of research, operations, and customer interactions.
BASIC QUALIFICATIONS
Ideally, You’d Have:
- Entrepreneurial mindset: A builder excited by ambiguity and motivated to create new products from the ground up.
- 6+ years of experience in product management or a customer-facing role.
- Technical fluency: Software engineering background (a degree in computer science or equivalent experience).
- Understanding of reinforcement learnings, simulation environments, or data pipelines for model training and evaluation.
- Strong customer intuition and the ability to translate technical requirements into impactful product decisions.
- Bias for action and comfort wearing multiple hats and operating in fast-moving environments.
COMPENSATION
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.
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $206,800—$258,500 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.
See all 77+ AI Product Engineer at Scale AI jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Product Engineer at Scale AI roles.
Get Access To All JobsTips for Finding AI Product Engineer Jobs at Scale AI Jobs
Build a portfolio around AI evaluation work
Scale AI's AI Product Engineer roles center on model evaluation, data pipelines, and RLHF tooling. Document projects where you've built or improved feedback systems for ML models. Concrete artifacts matter more than credentials alone when clearing technical screens.
Align your degree to specialty occupation standards
H-1B approval hinges on USCIS classifying your role as a specialty occupation. A degree in computer science, AI, or software engineering strengthens that case. A general business or unrelated degree can complicate the petition even at a willing sponsor.
Target Scale AI's enterprise and frontier divisions
Scale AI's AI Product Engineer openings cluster around its Generative AI and Federal divisions. Roles tied to specific product lines tend to move faster through headcount approvals, which directly affects how quickly an offer converts into a sponsorship filing.
Use Migrate Mate to surface open AI Product Engineer roles
Searching broadly across job boards misses roles where sponsorship is already built into the offer. Use Migrate Mate to filter Scale AI's AI Product Engineer openings by visa type so you're only applying where sponsorship is actively available.
Negotiate offer timing around H-1B cap deadlines
H-1B cap registrations open in March for an October 1 start. If you receive an offer outside that window, ask about cap-exempt pathways or whether Scale AI will hold the role for a future lottery cycle. This conversation is standard at companies with active sponsorship programs.
Request PERM initiation details before accepting
If long-term status matters to you, ask during offer negotiation whether Scale AI initiates PERM for this role category and at what tenure point. Some employers start PERM after one year; others wait longer. Getting clarity upfront avoids surprises after you've already joined.
AI Product Engineer at Scale AI jobs are hiring across the US. Find yours.
Find AI Product Engineer at Scale AI JobsFrequently Asked Questions
Does Scale AI sponsor H-1B visas for AI Product Engineers?
Yes, Scale AI sponsors H-1B visas for AI Product Engineer roles. The company files both initial cap-subject petitions and transfers for candidates already holding H-1B status with another employer. If you're currently on OPT or another nonimmigrant status, Scale AI's recruiting team will typically discuss the H-1B path during the offer stage, not after.
Which visa types does Scale AI commonly use for AI Product Engineer roles?
Scale AI sponsors across several categories for this function, including H-1B, E-3 for Australian citizens, TN for Canadian and Mexican nationals, F-1 OPT and CPT for students, and J-1 for exchange visitors. Candidates already on F-1 OPT can start immediately while an H-1B petition is prepared, which makes the transition relatively seamless for recent graduates.
How do I apply for AI Product Engineer jobs at Scale AI?
You can find open AI Product Engineer positions at Scale AI directly on the company's careers page or through Migrate Mate, which filters roles by visa sponsorship type so you can confirm sponsorship availability before applying. Scale AI's hiring process for this role typically includes a recruiter screen, a technical assessment focused on ML systems or product thinking, and multiple rounds of interviews with the product and engineering teams.
What qualifications does Scale AI expect for AI Product Engineer candidates?
Scale AI looks for candidates with a background in software engineering or machine learning, plus hands-on experience shipping AI-adjacent products. Familiarity with data annotation pipelines, model evaluation frameworks, or RLHF workflows is a strong differentiator. A bachelor's degree in computer science or a related field is the baseline, and for H-1B sponsorship specifically, USCIS requires that the role qualify as a specialty occupation under that degree field.
How do I time my application if I'm on F-1 OPT and targeting Scale AI?
If your OPT is expiring within the next six to twelve months, apply early enough to allow time for onboarding and H-1B cap registration, which opens each March. STEM OPT extensions give you up to 24 additional months of work authorization, which provides a buffer if you miss a lottery cycle. Confirm with Scale AI's HR team early in the process that they're prepared to file the H-1B cap petition on your behalf before March.
See which AI Product Engineer at Scale AI employers are hiring and sponsoring visas right now.
Search AI Product Engineer at Scale AI Jobs