H-1B Visa Staff AI Product Manager Jobs
Staff AI Product Manager roles sit at the intersection of machine learning systems and product strategy, making them strong candidates for H-1B specialty occupation classification. Employers filing LCAs for this title typically use SOC code 15-2051 or 11-3021. Most sponsor H-1B transfers and new petitions, with premium processing available to compress the standard timeline.
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Get Access To All JobsINTRODUCTION
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are looking for a Staff Product Manager to own the strategic vision, development, and execution of DigitalOcean’s GPU product offerings. This high-impact role positions you at the intersection of advanced technology and market-leading innovation, driving products that influence the future direction of our AI and computational science platform. As a Staff Product Manager, you will serve as product leader owning the foundation that powers accelerated computing. You will define how we strategically define upcoming GPU products, and develop how to acquire, allocate, and deploy GPU resources at scale, ensuring our product aligns with broader business objectives and customer demand for AI/ML and HPC workloads. In this role, you will be a hands-on strategist, bridging customer needs, market realities, and complex technical execution to ensure efficient, effective value delivery.
ROLE AND RESPONSIBILITIES
* Own and drive the product strategy and roadmap for DigitalOcean’s GPUs including defining capacity, provisioning, and deployment workflow, aligning closely with overall cloud infrastructure objectives.
* Conduct comprehensive market analysis on GPU compute trends, competitive offerings, pricing, and emerging technologies to inform product direction and positioning.
* Collaborate directly with Engineering and Infrastructure teams to conceptualize, develop, and deliver cutting-edge GPU solutions optimized for AI, ML, and HPC workloads.
* Serve as the primary advocate for customer deployment requirements, actively collecting and prioritizing feedback to continually refine the capacity consumption experience and platform offerings.
* Partner effectively with Hardware Engineering, Capacity Planning, Solutions Architecture, and Go-to-Market teams to ensure successful, scalable GPU resource launches and full lifecycle management.
* Utilize data-driven approaches to evaluate product success, track key metrics around utilization and deployment velocity, and guide strategic product enhancements.
BASIC QUALIFICATIONS
* 7+ years of product management experience, specializing in cloud compute infrastructure, accelerated computing, or high-performance networking.
* Deep technical knowledge of GPU architectures (AMD, NVIDIA) and their specific applications in AI, ML, and High-Performance Computing (HPC) environments.
* Proven track record of successfully managing complex infrastructure products from initial concept through large-scale deployment and optimization.
* A strong sense of ownership and a drive to figure out and resolve any issues preventing you and your team from delivering value to your customers.
* Exceptional analytical and problem-solving skills, with a demonstrated ability to make and communicate strategic, data-driven decisions, especially related to capacity and scaling.
* Strong leadership and cross-functional communication skills, capable of driving consensus and inspiring collaboration across technical and business teams.
* Customer-focused mindset, with direct experience gathering insights and translating them into valuable product improvements.
* Experience with the Atlassian suite (Jira and Confluence) for managing the flow of value in both Agile and hybrid environments.
* A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical work experience.
COMPENSATION RANGE
$186,000 - $233,000
This is a remote role.
WHY YOU’LL LIKE WORKING FOR DIGITALOCEAN
* We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
* We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
* We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
* We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
INTRODUCTION
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are looking for a Staff Product Manager to own the strategic vision, development, and execution of DigitalOcean’s GPU product offerings. This high-impact role positions you at the intersection of advanced technology and market-leading innovation, driving products that influence the future direction of our AI and computational science platform. As a Staff Product Manager, you will serve as product leader owning the foundation that powers accelerated computing. You will define how we strategically define upcoming GPU products, and develop how to acquire, allocate, and deploy GPU resources at scale, ensuring our product aligns with broader business objectives and customer demand for AI/ML and HPC workloads. In this role, you will be a hands-on strategist, bridging customer needs, market realities, and complex technical execution to ensure efficient, effective value delivery.
ROLE AND RESPONSIBILITIES
* Own and drive the product strategy and roadmap for DigitalOcean’s GPUs including defining capacity, provisioning, and deployment workflow, aligning closely with overall cloud infrastructure objectives.
* Conduct comprehensive market analysis on GPU compute trends, competitive offerings, pricing, and emerging technologies to inform product direction and positioning.
* Collaborate directly with Engineering and Infrastructure teams to conceptualize, develop, and deliver cutting-edge GPU solutions optimized for AI, ML, and HPC workloads.
* Serve as the primary advocate for customer deployment requirements, actively collecting and prioritizing feedback to continually refine the capacity consumption experience and platform offerings.
* Partner effectively with Hardware Engineering, Capacity Planning, Solutions Architecture, and Go-to-Market teams to ensure successful, scalable GPU resource launches and full lifecycle management.
* Utilize data-driven approaches to evaluate product success, track key metrics around utilization and deployment velocity, and guide strategic product enhancements.
BASIC QUALIFICATIONS
* 7+ years of product management experience, specializing in cloud compute infrastructure, accelerated computing, or high-performance networking.
* Deep technical knowledge of GPU architectures (AMD, NVIDIA) and their specific applications in AI, ML, and High-Performance Computing (HPC) environments.
* Proven track record of successfully managing complex infrastructure products from initial concept through large-scale deployment and optimization.
* A strong sense of ownership and a drive to figure out and resolve any issues preventing you and your team from delivering value to your customers.
* Exceptional analytical and problem-solving skills, with a demonstrated ability to make and communicate strategic, data-driven decisions, especially related to capacity and scaling.
* Strong leadership and cross-functional communication skills, capable of driving consensus and inspiring collaboration across technical and business teams.
* Customer-focused mindset, with direct experience gathering insights and translating them into valuable product improvements.
* Experience with the Atlassian suite (Jira and Confluence) for managing the flow of value in both Agile and hybrid environments.
* A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical work experience.
COMPENSATION RANGE
$186,000 - $233,000
This is a remote role.
WHY YOU’LL LIKE WORKING FOR DIGITALOCEAN
* We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
* We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
* We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
* We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Staff AI Product Manager
Map your role to the right SOC code
Staff AI PM positions can be filed under multiple SOC codes depending on duties. Pull the O*NET profile for 15-2051 and 11-3021, match your job description to the one with stronger overlap, and flag this to your employer's counsel before the LCA is filed.
Verify prevailing wage before negotiating offers
Run your target job title, location, and experience level through the OFLC Wage Search before your offer conversation. The LCA wage must meet or exceed the DOL prevailing wage, so knowing the floor prevents surprises during filing.
Target employers with cap-exempt petition history
Universities, nonprofit research labs, and government-affiliated entities can file H-1B petitions outside the annual lottery cap. Staff AI PM roles at these organizations, particularly those building applied research products, often qualify and let you bypass the April registration window entirely.
Use Migrate Mate to filter for active H-1B sponsors
Search Staff AI Product Manager roles on Migrate Mate to see which employers have verified H-1B LCA filing history for this job title. That narrows your list to companies already set up to sponsor, cutting weeks of manual employer research.
Prepare a specialty occupation memo before interviews
USCIS scrutinizes AI PM roles because the title spans technical and business functions. Document how your specific role requires a directly related bachelor's degree, not just any degree. A one-page duty breakdown strengthens the petition and reduces RFE risk.
Confirm E-Verify enrollment before accepting an offer
Any employer sponsoring your H-1B must be able to complete I-9 verification. Ask HR whether the company is enrolled in E-Verify before you accept, especially at startups or recently acquired entities where compliance infrastructure may be incomplete.
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Find Staff AI Product Manager JobsStaff AI Product Manager H-1B Visa: Frequently Asked Questions
Does a Staff AI Product Manager role qualify as a specialty occupation for H-1B purposes?
Yes, provided the position requires at least a bachelor's degree in a directly related field such as computer science, data science, or a related technical discipline. The challenge is that AI PM roles blend strategy and engineering, so USCIS may issue an RFE if the job description is vague. A tightly scoped duty list tied to a specific degree field strengthens the petition significantly.
Which employers sponsor H-1B visas for Staff AI Product Manager positions?
Technology companies, AI labs, and enterprise software firms are the most active sponsors for this title. To find employers with documented H-1B LCA filing history for Staff AI PM roles specifically, browse Migrate Mate, which surfaces employers by verified filing activity rather than self-reported claims.
Can I transfer my H-1B to a new employer for a Staff AI PM role without losing my place in the queue?
Yes. Under AC21 portability rules, you can transfer your H-1B to a new employer in a same or similar occupational classification once your I-140 has been approved for 180 days or more. For most Staff AI PM transfers, the new employer files an I-129 petition and you can start work as soon as USCIS receives it, without waiting for approval.
Does a non-technical background disqualify me from H-1B sponsorship as an AI Product Manager?
Not automatically, but it creates a higher documentation burden. USCIS looks for a direct relationship between your degree field and the job duties. If your degree is in business or a non-technical field, the employer's attorney will need to demonstrate that the specific AI PM duties require that academic background. Work experience alone doesn't substitute for degree relevance under specialty occupation rules.
What happens to my H-1B status if my employer is acquired or goes through a restructuring?
If the acquiring company is a successor-in-interest and assumes the liabilities of your original H-1B petition, your status typically continues without a new filing. If the business structure changes materially, a new I-129 may be required. Notify your employer's immigration counsel immediately after any acquisition announcement to assess whether the successor relationship holds and whether your LCA wage still meets DOL requirements.
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