Program Manager Jobs at Scale AI with Visa Sponsorship
Program Manager roles at Scale AI sit at the intersection of AI data operations and cross-functional execution, requiring candidates who can manage complex, fast-moving programs across engineering, research, and go-to-market teams. Scale AI sponsors a broad range of work visas for this function, making it a realistic target for international candidates.
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Get Access To All JobsINTRODUCTION
Scale’s Robotics business unit is currently seeing historic levels of growth. As a Technical Program Manager (TPM) for Robotics Data, you will be the connective tissue across our most complex technical operations, driving initiatives that secure $XXM+ in new revenue. This isn't a "sit back and watch" project management role. You will work with multiple project leads across a vast portfolio of robotics data projects, ensuring technical milestones are met, dependencies are de-risked, and stakeholders are aligned. You should be prepared to wear many hats - from debugging hardware rigs to architecting data pipelines - and be excited about intense, impactful work that leads to accelerated career progression.
YOUR ROLE AND RESPONSIBILITIES
You will:
- Drive Multi-Project Outcomes: Serve as the primary driver for a portfolio of robotics projects, tracking milestones, deliverables, and dependencies to ensure on-time delivery for the world’s leading AI researchers.
- Bridge the Technical-Operational Gap: Act as the central liaison between AI researchers, hardware engineers, and global operational teams to translate high-level research goals into executable data collection and annotation workflows.
- Architect Scalable Pipelines: Partner with engineering to design and optimize end-to-end data ingestion pipelines, ensuring they can handle the high-fidelity sensor data (video, logs, teleop) required for Vision-Language-Action (VLA) models.
- Manage Hardware & Logistics: Coordinate the setup, maintenance, and scaling of physical robotic platforms and data collection rigs across multiple sites.
- Enforce Data Quality & Governance: Define KPIs and Quality Assurance (QA) metrics to ensure datasets are high-fidelity, labeled correctly, and compliant with rigorous privacy and safety standards.
- Standardize for Scale: Develop and refine Standard Operating Procedures (SOPs) that allow us to scale collection and annotation efforts across global, distributed teams.
- Communicate with Precision: Provide regular, data-driven progress updates to Scale’s executive team, utilizing SQL and dashboards to monitor performance and guide strategic pivots.
BASIC QUALIFICATIONS
- Strong Technical Foundation: A degree in Engineering, Computer Science, or a related field, combined with a deep understanding of the AI/ML data lifecycle.
- 2-3+ Years of TPM Experience: Proven track record of managing complex, cross-functional technical programs, ideally in robotics, hardware, or large-scale data operations.
- Hands-on Problem Solving Skills: A proactive approach to overcoming technical and logistical roadblocks in a fast-paced environment.
- Operational Grit: Experience "in the weeds" of operational challenges - you don’t just identify bottlenecks; you build the solution to clear them.
- Entrepreneurial Mindset: You are comfortable with ambiguity and excited about building infrastructure from scratch in a fast-paced environment.
PREFERRED QUALIFICATIONS
- SQL Proficiency: Ability to pull your own data and build your own tracking dashboards.
- Global Experience: Experience interacting with distributed teams or collection sites across different time zones.
- Robotics Domain Expertise: Familiarity with robotic hardware, sensor calibration, or the nuances of collecting data for Physical AI.
- AI/CV Knowledge: Familiarity with Computer Vision or Large Language Model (LLM) training requirements.
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.
LOCATION
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: $151,200—$189,000 USD.
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: 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.
INTRODUCTION
Scale’s Robotics business unit is currently seeing historic levels of growth. As a Technical Program Manager (TPM) for Robotics Data, you will be the connective tissue across our most complex technical operations, driving initiatives that secure $XXM+ in new revenue. This isn't a "sit back and watch" project management role. You will work with multiple project leads across a vast portfolio of robotics data projects, ensuring technical milestones are met, dependencies are de-risked, and stakeholders are aligned. You should be prepared to wear many hats - from debugging hardware rigs to architecting data pipelines - and be excited about intense, impactful work that leads to accelerated career progression.
YOUR ROLE AND RESPONSIBILITIES
You will:
- Drive Multi-Project Outcomes: Serve as the primary driver for a portfolio of robotics projects, tracking milestones, deliverables, and dependencies to ensure on-time delivery for the world’s leading AI researchers.
- Bridge the Technical-Operational Gap: Act as the central liaison between AI researchers, hardware engineers, and global operational teams to translate high-level research goals into executable data collection and annotation workflows.
- Architect Scalable Pipelines: Partner with engineering to design and optimize end-to-end data ingestion pipelines, ensuring they can handle the high-fidelity sensor data (video, logs, teleop) required for Vision-Language-Action (VLA) models.
- Manage Hardware & Logistics: Coordinate the setup, maintenance, and scaling of physical robotic platforms and data collection rigs across multiple sites.
- Enforce Data Quality & Governance: Define KPIs and Quality Assurance (QA) metrics to ensure datasets are high-fidelity, labeled correctly, and compliant with rigorous privacy and safety standards.
- Standardize for Scale: Develop and refine Standard Operating Procedures (SOPs) that allow us to scale collection and annotation efforts across global, distributed teams.
- Communicate with Precision: Provide regular, data-driven progress updates to Scale’s executive team, utilizing SQL and dashboards to monitor performance and guide strategic pivots.
BASIC QUALIFICATIONS
- Strong Technical Foundation: A degree in Engineering, Computer Science, or a related field, combined with a deep understanding of the AI/ML data lifecycle.
- 2-3+ Years of TPM Experience: Proven track record of managing complex, cross-functional technical programs, ideally in robotics, hardware, or large-scale data operations.
- Hands-on Problem Solving Skills: A proactive approach to overcoming technical and logistical roadblocks in a fast-paced environment.
- Operational Grit: Experience "in the weeds" of operational challenges - you don’t just identify bottlenecks; you build the solution to clear them.
- Entrepreneurial Mindset: You are comfortable with ambiguity and excited about building infrastructure from scratch in a fast-paced environment.
PREFERRED QUALIFICATIONS
- SQL Proficiency: Ability to pull your own data and build your own tracking dashboards.
- Global Experience: Experience interacting with distributed teams or collection sites across different time zones.
- Robotics Domain Expertise: Familiarity with robotic hardware, sensor calibration, or the nuances of collecting data for Physical AI.
- AI/CV Knowledge: Familiarity with Computer Vision or Large Language Model (LLM) training requirements.
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.
LOCATION
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: $151,200—$189,000 USD.
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: 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.
See all 33+ Program Manager at Scale AI jobs
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Get Access To All JobsTips for Finding Program Manager Jobs at Scale AI Jobs
Frame your PM credentials around AI workflows
Scale AI hires Program Managers to own operational pipelines for AI training data and model evaluation. Tailor your resume to show experience managing technically complex, data-heavy programs, not just cross-functional coordination or software delivery.
Verify your visa type matches the role
Scale AI sponsors H-1B, E-3, TN, and F-1 OPT among others. Before applying, confirm your current status is on their supported list and that your role qualifies as a specialty occupation under USCIS guidelines, which Program Manager positions typically do when tied to technical operations.
Time your OPT application around Scale AI's hiring cycles
If you're on F-1 OPT, your 60-day grace period leaves little margin for delays. Target Scale AI's Program Manager openings at least three months before your OPT end date so there's runway for onboarding and, if needed, an H-1B cap-subject filing in April.
Use Migrate Mate to filter live Program Manager openings
Sponsorship-confirmed Program Manager roles at Scale AI don't always stay posted long. Use Migrate Mate to filter active listings by visa type so you're applying to roles where your work authorization is explicitly supported, not guessing from a generic job description.
Prepare for a structured hiring process with multiple stakeholders
Scale AI's Program Manager interviews typically involve cross-functional panels from engineering, operations, and product. Document specific programs you've owned end-to-end, with measurable outcomes, since interviewers will probe depth of ownership rather than breadth of involvement.
Confirm LCA filing timelines with your recruiter early
Once you have an offer, your employer must file a Labor Condition Application with the DOL before your H-1B or E-3 petition can proceed. Ask your Scale AI recruiter during the offer stage which visa they intend to file so you can track the LCA certification window accurately.
Program Manager at Scale AI jobs are hiring across the US. Find yours.
Find Program Manager at Scale AI JobsFrequently Asked Questions
Does Scale AI sponsor H-1B visas for Program Managers?
Yes, Scale AI sponsors H-1B visas for Program Manager roles. Program Manager positions at Scale AI are generally structured as specialty occupation roles tied to AI data operations or technical program execution, which satisfies USCIS requirements for H-1B eligibility. Your employer handles the Labor Condition Application with the DOL and the I-129 petition with USCIS, but confirm the timeline with your recruiter early since cap-subject H-1B filings follow a fixed April window.
How do I apply for Program Manager jobs at Scale AI?
Applications go through Scale AI's careers page, where Program Manager openings are listed with role-specific requirements. You can also browse sponsorship-confirmed Program Manager roles at Scale AI through Migrate Mate, which filters listings by visa type so you can identify positions where your work authorization is supported before you apply. Tailor your application to highlight ownership of technically complex, cross-functional programs relevant to AI or data operations.
Which visa types does Scale AI commonly use for Program Manager roles?
Scale AI sponsors H-1B, E-3, TN, F-1 OPT, F-1 CPT, J-1, and Green Card pathways including EB-2 and EB-3 for Program Manager positions. Australian citizens should note the E-3 as a strong alternative to the H-1B since it has no lottery. Canadian and Mexican nationals in qualifying Program Manager roles may be eligible for TN status. The right visa depends on your nationality, degree field, and the specific role structure.
What qualifications does Scale AI expect for Program Manager roles?
Scale AI typically looks for Program Managers with experience running complex, multi-team programs in technical environments, ideally in AI, machine learning infrastructure, or data operations. A bachelor's degree in a relevant field such as computer science, engineering, or operations management is standard. Demonstrated ability to manage ambiguity, work across engineering and research teams, and deliver measurable program outcomes carries more weight than project management certifications alone.
How do I think about visa sponsorship timelines when targeting Scale AI?
Timeline depends heavily on your visa type. E-3 and TN visas can move quickly, often within a few weeks once your offer is finalized and the LCA is certified by the DOL. H-1B cap-subject petitions follow USCIS's April filing window, meaning a role starting before October 1 of the same year isn't feasible unless you're cap-exempt. F-1 OPT candidates should account for their remaining authorized work period and confirm Scale AI's intended filing path before accepting an offer.
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