Green Card AI Product Engineer Jobs
AI Product Engineer roles sit squarely in EB-2 and EB-3 territory: employers file a PERM labor certification with the DOL, then sponsor your I-140 petition for permanent residency. Most AI product roles require a bachelor's or master's in computer science, making green card sponsorship straightforward to document and defend.
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Ready to be a Titan?
At ServiceTitan, we're building the operating system for the trades. As we continue to scale, we're looking for a Senior Counsel, AI & Product to join our Global Legal team and be the day-to-day legal partner for Product, Engineering, Data Science, and all cross-functional AI initiatives as we build and scale AI-enabled features at the company and across the platform.
This is a hands-on role for an attorney who thinks like a product partner, not just a reviewer. The specific features and legal questions you'll own will shift as our AI roadmap evolves. Today that might mean a new automation capability or an AI vendor relationship; tomorrow it could be a different product or regulatory question entirely. What stays constant is the kind of thinking: translating complex, fast-moving legal and regulatory questions into clear, practical guidance that Product and Engineering can build against with confidence. This role reports to our Deputy General Counsel, Product, Privacy, IP & AI Governance. While our headquarters are in Glendale, CA, this is a remote position.
- Provide practical, full product life-cycle legal counseling from ideation through launch and ongoing operations, partnering with Product, Engineering, Data Science, Security, and Marketing on new features and AI-enabled capabilities.
- Own day-to-day administration of ServiceTitan's AI governance program, translating our governance framework and risk-tiered review model into scaled, repeatable processes for AI Inventory intake, AI Impact Assessment review, and legal sign-off, and continue to mature the AI Design Guidelines as the regulatory and product landscape evolves.
- Serve as the primary legal point of contact for internal AI-related initiatives, including legal review of AI tools and use cases.
- Conduct legal risk assessments for AI-enabled and other product capabilities, including automated decision-making, algorithmic scoring or prioritization, and employee- or customer-facing automation, and triage broader product legal risk across areas such as telecom and call-recording laws, consumer protection, fintech, employment, and intellectual property/confidential information, exercising judgment on urgency and escalation to the right subject-matter experts (including Privacy Counsel on privacy-specific matters), business stakeholders, or outside counsel.
- Evaluate the legal and regulatory risk of AI products and tools being considered for internal procurement or for integration into the platform for downstream customer distribution, and define the contractual safeguards required.
- Monitor emerging AI legislation (state automated decision-making rules, the Colorado AI Act, and similar frameworks) and translate developments into practical internal guidance.
- Partner with Marketing and Commercial Legal to ensure AI-related product claims (e.g., "automated," "AI-powered") are accurate and substantiated.
- Build and maintain playbooks, templates, and training that reduce turnaround time on routine, recurring legal questions, freeing up capacity for higher-judgment work.
- Partner cross-functionally with Product, Engineering, and Security to align on AI governance priorities and drive consistent decision-making across the business.
- Collaborate with other members of the Legal team, including Privacy, Commercial, Litigation, and IP to ensure consistent, well-coordinated judgment across product, AI, and adjacent legal domains.
What You'll Bring
- Juris Doctor (J.D.) from an accredited law school with membership in at least one U.S. state bar.
- 8–10 years of combined law firm and in-house experience counseling technology companies on product development, data, and emerging-technology legal issues.
- Meaningful hands-on experience advising on generative AI governance, deployment, or compliance. We weigh the depth of recent, applied experience more heavily than total tenure in this specific niche.
- Broader experience with automated decision-making, algorithmic systems, or data-driven products that predates the generative AI wave (e.g., ad tech, biometric technology, scoring or eligibility systems, earlier-generation ML features) is a strong plus, and is often a more reliable signal of judgment than generative-AI tenure alone.
- Working knowledge of U.S. consumer protection and communications law (TCPA), biometric privacy statutes (e.g., BIPA), and state automated decision-making/AI laws (e.g., California's CCPA ADMT rules, the Colorado AI Act).
- Experience building or operating an AI governance program (e.g., AI inventories, impact assessments, and cross-functional review workflows) preferred.
- Experience advising non-product business functions on the legal and compliance considerations of adopting AI-powered tools, including vendor risk, data handling practices, and deployment safeguards.
- Technology industry experience in a B2B SaaS company; technology industry experience in a B2B SaaS company, particularly where compliance decisions affect real-world business and consumer outcomes, is a plus.
- A pragmatic, business-oriented approach to problem solving, with strong project management and cross-functional collaboration skills.
- Excellent written and verbal communication skills, with the ability to translate technical and legal complexity into clear, actionable guidance.
- Demonstrated ability to manage and prioritize multiple projects simultaneously, pivoting in response to evolving organizational needs.
Be Human With Us:
Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us.
Use of AI Technology:
We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.
What We Offer:
When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:
- Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more.
- Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to One Medical.
- Support for Titans at all stages of life: Parental leave and support, up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.
At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.
ServiceTitan is committed to fair and equitable compensation for all of our employees. We thoughtfully consider a wide range of factors when determining individual compensation, which may change over time. We comply with all applicable minimum wage laws. For candidates in the United States, the good faith salary ranges estimate for this role is Zone 1: $218,300 USD - $327,500 USD Applicable for: CA, CT, DC, MD, MA, NJ, NY, VA, and WA Zone 2: $204,000 USD - $306,000 USD Applicable for: All other US locations. International Compensation for candidates residing outside the United States will vary by location and will be discussed during the hiring process. Actual compensation within a range is determined by factors including relevant experience, skill set, qualifications, and performance. In addition to base salary, our total compensation package includes an annual bonus, equity, and a holistic suite of benefits.
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Get Access To All JobsTips for Finding Green Card Sponsorship as an AI Product Engineer
Align your credentials to PERM job requirements
Before applying, confirm your degree field maps directly to the posted AI Product Engineer job description. PERM audits scrutinize whether your foreign credential matches the minimum stated requirement, so have a credential evaluation ready.
Target employers with active EB-2 and EB-3 filing history
Search PERM disclosure data through the OFLC Wage Search to identify employers who have recently sponsored AI or product engineering roles. Past filings signal an internal process already exists, which shortens your path to an offer.
Use Migrate Mate to filter for green card sponsoring roles
Search AI Product Engineer positions on Migrate Mate to surface employers with documented PERM sponsorship history. This removes guesswork and lets you focus applications on companies already equipped to handle employment-based green card filings.
Negotiate the PERM filing timeline before signing
Ask during the offer stage when the employer plans to initiate PERM. Some companies wait 12 to 18 months after your start date. Confirming the timeline upfront protects you if your current visa status has a fixed end date.
Document your AI product work for the EB-2 advanced degree track
Gather transcripts, employer verification letters, and performance records now. USCIS requires clear evidence that the role demands an advanced degree in a specific specialty, and AI product engineering increasingly qualifies under that standard.
Understand how EB-3 backlog affects your country of birth
For nationals of India or China, EB-3 priority dates can lag years behind the current filing date. Review the USCIS Visa Bulletin before accepting an offer so you can weigh whether concurrent I-485 filing or consular processing is realistic for your situation.
Green Card AI Product Engineer: Frequently Asked Questions
Does an AI Product Engineer role qualify for EB-2 or EB-3 sponsorship?
Most AI Product Engineer positions qualify for EB-2 sponsorship because they typically require a master's degree or a bachelor's degree plus progressive experience in machine learning, software engineering, or a closely related specialty. If the employer's minimum requirement is a bachelor's degree with no advanced degree preference, the role may be filed under EB-3 instead. The classification depends on what the employer lists as the actual job requirement, not what you personally hold.
How is green card sponsorship different from H-1B for this role?
H-1B visa is a temporary status with a six-year base limit and an annual lottery at the cap-subject level. Green card sponsorship through PERM leads to permanent residency with no renewal cycle and no cap lottery for most applicants. The tradeoff is timeline: PERM labor certification, I-140 approval, and visa availability can take two to five years or more depending on your birth country, while H-1B status can start within months of an approved petition.
What does the PERM process look like for an AI Product Engineer?
Your employer files a labor certification application with the DOL, demonstrating through a recruitment audit that no qualified U.S. worker was available for the role. For AI Product Engineer positions, the job description must specify a defined specialty, typically computer science, artificial intelligence, or software engineering. Once DOL certifies the PERM, your employer files an I-140 immigrant petition with USCIS. You can then adjust status or pursue consular processing once a visa number is available.
How do I find employers willing to sponsor an AI Product Engineer for a green card?
Search Migrate Mate to identify companies with active PERM and employment-based sponsorship history for AI and product engineering roles. You can also cross-reference OFLC disclosure data using the OFLC Wage Search to verify which employers have filed PERM applications in your target job title and location. Prioritizing these employers saves time and reduces the risk of an employer declining to sponsor mid-process.
Can I use O*NET data to strengthen my AI Product Engineer PERM application?
O*NET provides occupational data that employers and immigration attorneys use to define the duties, required knowledge, and degree fields for PERM job descriptions. Referencing O*NET for the Software Developer or Computer and Information Research Scientist occupation codes helps align your employer's job posting with DOL expectations, reducing the risk of an audit or denial based on vague or overly broad job requirements.