Quora Visa Sponsorship USA
Quora, the knowledge-sharing platform known for connecting people to expertise across every field, sponsors work visas across a range of categories including H-1B and Green Card pathways. It's a mid-sized tech employer with a selective but consistent approach to sponsorship, making it worth targeting if your background aligns with its core product and engineering needs.
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Get Access To All JobsINTRODUCTION
Quora is a privately held, "remote-first" company. This position can be performed remotely from multiple countries around the world. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.
About Quora:
Quora’s mission is to grow the world's collective intelligence. To do so, we have two platforms:
- Quora: a global knowledge sharing platform with over 300M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
- Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including GPT-5.2, Claude Opus 4.5, Grok 4.1, Veo 3.1, Nano Banana Pro (Gemini 3 Pro Image), and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models. Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.
This role will be working on our Poe product.
About the Team and Role:
Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Everyone on the engineering team has a huge impact on our product and our company. At Poe, we use AI in various parts of the product - bot/app routing and recommendation, agent flow, RAG, etc. Our team of AI Engineers has high impact by advancing the current AI systems, building performant and reliable LLM applications, and collaborating with our product team to uncover new opportunities for the Poe product. You will also play a key role in developing tools and abstractions that other developers will build on top of.
Responsibilities:
- Work with other engineers on a wide variety of AI engineering tasks, including prompt engineering, retrieval-augmented generation, and agentic workflow optimization, etc to improve our existing applied AI systems
- Identify new opportunities to apply emerging AI capabilities to different parts of the Poe product
- Take end-to-end ownership of applied AI systems - from prototyping, data pipelines, model optimization/evaluation to reliable deployment at scale
Minimum Requirements:
- Ability to be available for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
- A 2025 or Summer 2026 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
- Strong engineering background (Python or TypeScript)
- Understanding of mathematical foundations of Machine Learning algorithms
- Experience of LLM applications or transformer models
- A passion for learning and always improving yourself and the team around you
Preferred Requirements:
- Previous software engineering experience via an internship, work experience or coding competition
- Previous hands-on experience working on LLM and prompt engineering
- Passion for Poe and Quora’s mission and goals
At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.
Additional Information:
We are accepting applications on an ongoing basis. This role is a backfill for an existing vacancy. Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.
- US candidates only: For US based applicants, the salary range is $107,360 - $152,900 USD + equity + benefits.
- Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $140,796 - $160,415 CAD + equity + benefits. For all other locations in Canada, the salary range is $131,409 - $149,720 CAD + equity + benefits.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team.
To ensure a secure hiring process, all final candidates will undergo identity verification and a comprehensive background check prior to onboarding.
Job Applicant Privacy Notice: https://www.careers.quora.com/pages/quora-global-job-applicant-privacy-notice
INTRODUCTION
Quora is a privately held, "remote-first" company. This position can be performed remotely from multiple countries around the world. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.
About Quora:
Quora’s mission is to grow the world's collective intelligence. To do so, we have two platforms:
- Quora: a global knowledge sharing platform with over 300M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
- Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including GPT-5.2, Claude Opus 4.5, Grok 4.1, Veo 3.1, Nano Banana Pro (Gemini 3 Pro Image), and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models. Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.
This role will be working on our Poe product.
About the Team and Role:
Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Everyone on the engineering team has a huge impact on our product and our company. At Poe, we use AI in various parts of the product - bot/app routing and recommendation, agent flow, RAG, etc. Our team of AI Engineers has high impact by advancing the current AI systems, building performant and reliable LLM applications, and collaborating with our product team to uncover new opportunities for the Poe product. You will also play a key role in developing tools and abstractions that other developers will build on top of.
Responsibilities:
- Work with other engineers on a wide variety of AI engineering tasks, including prompt engineering, retrieval-augmented generation, and agentic workflow optimization, etc to improve our existing applied AI systems
- Identify new opportunities to apply emerging AI capabilities to different parts of the Poe product
- Take end-to-end ownership of applied AI systems - from prototyping, data pipelines, model optimization/evaluation to reliable deployment at scale
Minimum Requirements:
- Ability to be available for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
- A 2025 or Summer 2026 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
- Strong engineering background (Python or TypeScript)
- Understanding of mathematical foundations of Machine Learning algorithms
- Experience of LLM applications or transformer models
- A passion for learning and always improving yourself and the team around you
Preferred Requirements:
- Previous software engineering experience via an internship, work experience or coding competition
- Previous hands-on experience working on LLM and prompt engineering
- Passion for Poe and Quora’s mission and goals
At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.
Additional Information:
We are accepting applications on an ongoing basis. This role is a backfill for an existing vacancy. Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.
- US candidates only: For US based applicants, the salary range is $107,360 - $152,900 USD + equity + benefits.
- Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $140,796 - $160,415 CAD + equity + benefits. For all other locations in Canada, the salary range is $131,409 - $149,720 CAD + equity + benefits.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team.
To ensure a secure hiring process, all final candidates will undergo identity verification and a comprehensive background check prior to onboarding.
Job Applicant Privacy Notice: https://www.careers.quora.com/pages/quora-global-job-applicant-privacy-notice
Job Roles at Quora Companies
How to Get Visa Sponsorship in Quora Visa Sponsorship USA
Target engineering and product roles first
Quora's sponsorship activity is concentrated in technical disciplines. Software engineers, machine learning researchers, and product managers are the most likely candidates for H-1B and Green Card sponsorship, so focus your applications on roles where your technical skills are front and center.
Understand Quora's remote-first hiring model
Quora operates as a remote-first company, which broadens the pool of roles open to sponsored candidates. When applying, confirm whether the role requires U.S. presence or if it supports distributed work, as this affects your visa pathway and timeline.
Highlight expertise in knowledge systems or AI
Quora has invested heavily in AI and large language model products, including Poe. Candidates with backgrounds in natural language processing, recommendation systems, or AI infrastructure have a stronger alignment with Quora's current technical priorities and sponsorship-eligible roles.
Look for roles that match F-1 OPT timelines
Quora sponsors F-1 OPT, making it accessible for recent graduates. If you're on OPT, apply early enough to allow time for onboarding and H-1B registration before your authorization window closes. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history.
Research Quora's TN visa eligibility if you're Canadian or Mexican
Quora sponsors TN visas, which offer a faster, lottery-free path for Canadian and Mexican nationals in qualifying occupations like software engineering or systems analysis. Confirm your role falls within an approved TN category before beginning the application process.
Prepare for a structured technical interview process
Quora's hiring process is rigorous for engineering roles. Sponsorship decisions often follow offer acceptance, so arriving at the offer stage prepared means demonstrating strong coding fundamentals, system design skills, and cultural alignment with Quora's mission-driven, knowledge-focused product philosophy.
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Get Access To All JobsFrequently Asked Questions
Does Quora sponsor H-1B visas?
Yes, Quora sponsors H-1B visas. The company has an active sponsorship track record, primarily for technical roles in software engineering, machine learning, and product development. H-1B sponsorship is typically initiated after an offer is extended, so candidates should discuss immigration support early in the interview process to align expectations on timeline and next steps.
Which visa types does Quora sponsor?
Quora sponsors H-1B visas, Green Cards through EB-2 and EB-3 pathways, F-1 OPT for recent graduates, and TN visas for Canadian and Mexican nationals in eligible occupations. The mix reflects a tech company that hires across multiple immigration statuses, giving qualified candidates several potential entry points depending on their background and current authorization.
Which departments or roles at Quora are most likely to receive visa sponsorship?
Sponsorship at Quora is most concentrated in engineering, machine learning, and product roles. Given the company's investment in AI-driven products like Poe, candidates with backgrounds in natural language processing, recommendation systems, and backend infrastructure have the strongest alignment. Business and operations roles may be sponsored in select cases, but technical positions represent the clearest pathway.
How do I find open visa-sponsored jobs at Quora?
The most reliable way to find sponsorship-verified roles at Quora is through Migrate Mate, which filters job listings by actual sponsorship history so you're not guessing which employers will support your visa. Search for Quora specifically to see current openings across visa categories. Always verify the role's immigration support directly with the recruiter once you're in the interview process.
How do I improve my chances of getting sponsored by Quora?
Align your application to Quora's core technical needs, particularly in AI, machine learning, and platform engineering. Tailor your resume to reflect expertise in areas the company is actively investing in. Raise the topic of visa sponsorship after demonstrating strong fit, not at first contact. Candidates who show clear value before asking for immigration support consistently have better outcomes at mid-sized tech employers like Quora.
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