OPT AI Product Manager Jobs
AI Product Manager jobs are strong OPT fits: most roles require a technical bachelor's or master's degree in computer science, data science, or a related field, which aligns directly with standard OPT eligibility requirements. Employers in this space frequently sponsor H-1B visas, making it a viable long-term path for F-1 students.
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BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; looking for a strong agentic AI developer who can build and productionize Vertex AI–based RAG systems (Vertex AI Search / Vertex AI RAG patterns), design reliable tool-using agents, and work comfortably with vector databases and graph databases.
About the Role
You’ll own end-to-end delivery: ingestion, retrieval, agent orchestration, evaluation, and deployment.
Responsibilities
- Collaborate with the team to design and develop high quality Web applications using Python, Flask, Django, and related technologies.
- Write clean and efficient code, and ensure code maintainability and reusability.
- Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding).
- Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks.
- Perform code reviews to ensure code quality and consistency.
- Conduct testing to ensure application quality and reliability.
- Create and maintain technical documentation for web applications.
- Participate in project planning, estimation, and prioritization.
- Stay up to date with the latest technologies for Python development.
- Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively.
- Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices.
Qualifications
- Experience in software development in Python3.
- Decent understanding of the software development/testing life cycle.
- Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc).
- Experience with version control tools, such as Git.
- Experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design).
- Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns.
- Solid knowledge of vector search concepts and at least one vector DB in production.
- Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset.
Preferred Skills
- Master’s Degree in Computer Science, Software Engineering, or related field.
- 1+ year professional experience in Python web application development with either Flask or Django.
- Experience in RESTful API development in Python.
- Understanding of Python web application frameworks such as Flask or Django.
- Experience with Cloud services, such as AWS.
- Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, CloudRun/GKE, storage).
- Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion).
- Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval.
- Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management.
- Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling).
Pay range and compensation package
BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).
Equal Opportunity Statement
BeaconFire is committed to diversity and inclusivity.
About the Company
BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; looking for a strong agentic AI developer who can build and productionize Vertex AI–based RAG systems (Vertex AI Search / Vertex AI RAG patterns), design reliable tool-using agents, and work comfortably with vector databases and graph databases.
About the Role
You’ll own end-to-end delivery: ingestion, retrieval, agent orchestration, evaluation, and deployment.
Responsibilities
- Collaborate with the team to design and develop high quality Web applications using Python, Flask, Django, and related technologies.
- Write clean and efficient code, and ensure code maintainability and reusability.
- Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding).
- Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks.
- Perform code reviews to ensure code quality and consistency.
- Conduct testing to ensure application quality and reliability.
- Create and maintain technical documentation for web applications.
- Participate in project planning, estimation, and prioritization.
- Stay up to date with the latest technologies for Python development.
- Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively.
- Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices.
Qualifications
- Experience in software development in Python3.
- Decent understanding of the software development/testing life cycle.
- Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc).
- Experience with version control tools, such as Git.
- Experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design).
- Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns.
- Solid knowledge of vector search concepts and at least one vector DB in production.
- Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset.
Preferred Skills
- Master’s Degree in Computer Science, Software Engineering, or related field.
- 1+ year professional experience in Python web application development with either Flask or Django.
- Experience in RESTful API development in Python.
- Understanding of Python web application frameworks such as Flask or Django.
- Experience with Cloud services, such as AWS.
- Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, CloudRun/GKE, storage).
- Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion).
- Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval.
- Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management.
- Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling).
Pay range and compensation package
BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).
Equal Opportunity Statement
BeaconFire is committed to diversity and inclusivity.
See all 468+ OPT AI Product Manager Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as an AI Product Manager
Lead with your technical credentials
AI PMs are expected to bridge engineering and business. Highlight your CS, data science, or engineering degree prominently. Employers screening OPT candidates want proof the role qualifies as a specialty occupation, and a technical degree makes that straightforward.
Target companies with active AI infrastructure
Companies building proprietary AI products are far more likely to sponsor than those using off-the-shelf tools. Look for teams with dedicated ML engineers, research scientists, or data infrastructure. These organizations understand technical hiring and are accustomed to OPT and H-1B workflows.
Quantify your impact in AI-specific terms
Generic product metrics won't stand out. Frame your experience around model deployment cycles, data pipeline decisions, or AI feature adoption rates. Concrete AI context signals you can operate at the intersection of technical and strategic work, which is what hiring managers are screening for.
Start your H-1B conversation early
The H-1B lottery cap registration opens in March each year. If you join a company in the fall, you have months to build the internal case for sponsorship. Raise the topic during offer negotiation, not after you've started, so HR can plan accordingly without scrambling.
Build a portfolio around AI product decisions
Case studies that walk through a real AI product tradeoff, such as model accuracy versus latency or build versus buy, demonstrate PM judgment in a way resumes cannot. Even academic or side projects count if the reasoning is clearly documented and technically grounded.
Prioritize startups with recent funding rounds
Seed and Series A AI startups are actively building product teams and often move faster on offers than large enterprises. Post-funding hiring surges create real OPT opportunities. Newly funded companies also tend to have smaller bureaucratic barriers to initiating an H-1B sponsorship process.
AI Product Manager OPT: Frequently Asked Questions
Does an AI Product Manager role qualify for OPT work authorization?
Yes, AI Product Manager roles typically qualify for OPT because they require a technical degree in a field like computer science, data science, or engineering. USCIS evaluates whether the position constitutes a specialty occupation, and most AI PM roles at technology companies clear that bar comfortably given the degree requirements employers post in job descriptions.
Do AI Product Manager roles qualify for the 24-month STEM OPT extension?
They often do, but it depends on your specific degree. If you graduated with a STEM-designated degree such as computer science, data science, information systems, or a related technical field, and your employer is enrolled in E-Verify, you likely qualify for the 24-month STEM OPT extension. Confirm your program's CIP code with your DSO before applying, since not every business or management degree qualifies even if the job title sounds technical.
How common is H-1B sponsorship for AI Product Manager positions?
H-1B sponsorship is relatively common in this role compared to generalist PM positions because AI PM jobs carry explicit technical degree requirements. Large technology companies, AI-focused startups, and enterprise software firms with machine learning teams regularly sponsor H-1B visas for product roles. Focusing your search on employers with established technical hiring pipelines improves your odds significantly. Migrate Mate lists AI PM roles filtered by sponsorship history, which makes it easier to identify realistic targets.
Can I work as an AI Product Manager at a startup on OPT?
Yes. OPT authorizes you to work for any qualifying employer, including early-stage startups, as long as the job is directly related to your field of study. Startups don't need to be enrolled in E-Verify for standard 12-month OPT, but E-Verify enrollment is required if you plan to apply for the STEM OPT extension. Verify the startup's E-Verify status before accepting an offer if you're relying on the extension.
What should I do if my OPT end date is approaching and I don't have a sponsorship commitment?
First, confirm whether you qualify for the STEM OPT extension and file early since processing takes time. Simultaneously, have a direct conversation with your current employer about H-1B sponsorship timing, since cap registration opens each March. If your employer won't commit, prioritize your job search toward companies with documented sponsorship track records. Cap-exempt employers such as universities and nonprofit research organizations are also worth exploring since they can file H-1B petitions year-round without lottery exposure.