Knit Visa Sponsorship Jobs USA
Knit operates in the Technology & Software space and has a history of sponsoring H-1B visas for skilled workers. While not among the highest-volume sponsors, the company does engage with the sponsorship process, making it a viable target for international candidates with the right technical background.
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Knit is the AI-native consumer research platform helping brands automate and accelerate primary research. With our Researcher-Driven AI, we’ve condensed the entire quant + qual research process from weeks into days (sometimes hours!) for 50+ enterprise brands — including Amazon, T-Mobile, Mars, NASCAR, and more. We’re on a mission to scale and democratize world-class research. From survey generation to stakeholder-ready reports, our platform is redefining how insights teams operate — and we need your help to push the limits of what’s possible.
Overview
We're hiring a Lead Product Manager to help redefine what customer understanding looks like in an AI-native world. You'll own a meaningful product surface end-to-end, drive company-level bets, and operate as a senior voice in how Knit thinks about product strategy, AI craft, and customer value. You'll ship in two-week cycles alongside one of the strongest engineering benches you'll find at this stage. You'll partner closely with our Director of Product, CTO, CEO, on-staff PhD-level Researchers, and Engineering Leads. This is a force multiplier role in a senior-heavy team, and at this level, we expect your judgment and conviction to shape not just what you ship, but what Knit becomes.
Outcomes
Success in this role is defined by sharper product decisions, stronger execution, and measurable customer and business impact on the surface you own.
- Customer adoption of shipped work: Usage and adoption rates of new and materially updated capabilities within our target ICP.
- Product velocity and roadmap reliability: Consistent shipping against outcome-driven commitments, with fewer mid-stream changes and clearer scope on what's in vs. out.
- Customer and business impact: Expansion revenue, win rate, retention, and customer value creation attributable to your product work.
- Cross-functional coherence: Engineering, Research, and GTM operating from one shared reality about what matters most, and why.
- Strategic contribution: Bets you've brought to the table, backed by customer conviction and market insight, that shaped the roadmap beyond your own surface.
Responsibilities | What you will own...
Primary responsibilities of this role:
- Own a Meaningful Product Surface End-to-End: Drive the full lifecycle of your product surface, from discovery to delivery to adoption. Write crisp specs, prioritize ruthlessly, and partner with engineering. Own outcomes, not outputs. At this level, we expect you to define the surface you’re working on in addition to executing against it.
- Build Direct Customer Intuition: Spend meaningful, consistent time with customers. Work alongside our PhD-level Researchers, but bring your own developed point of view on how users and buyers at Fortune 1000 brands think, what they need, and where the market is moving.
- Make AI-Native Product Decisions: Own the AI layer of your surface: eval strategies, quality loops, failure-mode design, when to trust the model versus defer to humans. This is what separates us from AI-washed research tools, and you'll help us defend and extend that gap.
- Operate as a Force Multiplier Across R&D and GTM: Drive clarity on tradeoffs, eliminate mid-stream thrash, and ensure Engineering, Research, and GTM are working from one shared reality about what matters and why. At this level, we expect you to create alignment.
- Contribute to Company-Level Decisions & Roadmap: Your impact should reach well beyond what you ship. Bring bets to the betting table backed by real customer conviction, competitive insight, and business judgment. Weigh in on how we plan quarters, how we position against competitors, and how we tell our story to customers. See your bets through with evidence, judgment, and taste.
Required Skills & Experiences
Required:
- 7+ years as a Product Manager, including meaningful time at a company known for strong product culture — where you learned what a great product org looks like from great leaders, and where you were trusted to operate with real autonomy.
- 0→1 experience. You've taken a product from zero to meaningful customer usage. Ideally, in an early-stage environment (seed/Series A), where you didn't have a full supporting cast to lean on.
- AI-native fluency. You've shipped LLM-based features in production. You understand evals, hallucination management, latency/cost tradeoffs, and failure-mode design — even if you didn't write the eval code yourself. You use AI tools fluently in your own PM work to draft, prototype, research, and design. You have a real, developed point of view on how the PM role is changing in an AI-native world.
- Exceptional written and verbal communication. Clarity under compression is a baseline expectation. At this level, you're also helping set the standard for how the team communicates.
- Strong technical fluency. Comfortable driving real conversations with senior engineers about architecture, tradeoffs, and constraints — not just translating between them.
- Strategic range. You've operated beyond your own surface and influenced roadmap direction, contributed to company-level planning, and shaped how your org thinks about a market. You have opinions that change what gets built, and you back them with evidence.
Nice to Haves
- Previous founder or first-PM experience at an early-stage startup
- Experience building tools for researchers or in the market research industry
- Background operating in a senior IC role in a flat, founder-led environment.
Benefits
Upon joining the Knit team, you will receive a competitive salary + commission plan if applicable to role, Equity Options, Healthcare (medical, dental, and vision), and Additional Coverage, a company laptop and one-time, onboarding Technology Stipend, a 401(k) with company match, flexible time-off, hybrid working, and more!
Salary
In accordance with New York pay transparency requirements, the salary range for this role is $205,000 - $235,000. Final compensation will be determined based on the candidate’s level, experience, and qualifications upon joining Knit.
Our Company Values
We are the Championship Team. This means we:
- Are 1% better every day: We approach situations with a growth mindset and ask, “How can we make the business better?” and “What would it take?”
- Play to win: We set audacious goals and push ourselves to achieve them with a bias towards action (When we see a need, we take initiative, and hold ourselves accountable to seeing it through).
- Keep the main thing the main thing: Identify what has the biggest impact and prioritize to focus on it.
In accordance with New York pay transparency requirements, the salary range for this role is listed below. Final compensation will be determined based on the candidate’s level, experience, and qualifications upon joining Knit.
Salary Range: $205,000 USD - $235,000 USD
Knit Privacy Policy here. CCPA disclosure here.
A little about us…
Knit is the AI-native consumer research platform helping brands automate and accelerate primary research. With our Researcher-Driven AI, we’ve condensed the entire quant + qual research process from weeks into days (sometimes hours!) for 50+ enterprise brands — including Amazon, T-Mobile, Mars, NASCAR, and more. We’re on a mission to scale and democratize world-class research. From survey generation to stakeholder-ready reports, our platform is redefining how insights teams operate — and we need your help to push the limits of what’s possible.
Overview
We're hiring a Lead Product Manager to help redefine what customer understanding looks like in an AI-native world. You'll own a meaningful product surface end-to-end, drive company-level bets, and operate as a senior voice in how Knit thinks about product strategy, AI craft, and customer value. You'll ship in two-week cycles alongside one of the strongest engineering benches you'll find at this stage. You'll partner closely with our Director of Product, CTO, CEO, on-staff PhD-level Researchers, and Engineering Leads. This is a force multiplier role in a senior-heavy team, and at this level, we expect your judgment and conviction to shape not just what you ship, but what Knit becomes.
Outcomes
Success in this role is defined by sharper product decisions, stronger execution, and measurable customer and business impact on the surface you own.
- Customer adoption of shipped work: Usage and adoption rates of new and materially updated capabilities within our target ICP.
- Product velocity and roadmap reliability: Consistent shipping against outcome-driven commitments, with fewer mid-stream changes and clearer scope on what's in vs. out.
- Customer and business impact: Expansion revenue, win rate, retention, and customer value creation attributable to your product work.
- Cross-functional coherence: Engineering, Research, and GTM operating from one shared reality about what matters most, and why.
- Strategic contribution: Bets you've brought to the table, backed by customer conviction and market insight, that shaped the roadmap beyond your own surface.
Responsibilities | What you will own...
Primary responsibilities of this role:
- Own a Meaningful Product Surface End-to-End: Drive the full lifecycle of your product surface, from discovery to delivery to adoption. Write crisp specs, prioritize ruthlessly, and partner with engineering. Own outcomes, not outputs. At this level, we expect you to define the surface you’re working on in addition to executing against it.
- Build Direct Customer Intuition: Spend meaningful, consistent time with customers. Work alongside our PhD-level Researchers, but bring your own developed point of view on how users and buyers at Fortune 1000 brands think, what they need, and where the market is moving.
- Make AI-Native Product Decisions: Own the AI layer of your surface: eval strategies, quality loops, failure-mode design, when to trust the model versus defer to humans. This is what separates us from AI-washed research tools, and you'll help us defend and extend that gap.
- Operate as a Force Multiplier Across R&D and GTM: Drive clarity on tradeoffs, eliminate mid-stream thrash, and ensure Engineering, Research, and GTM are working from one shared reality about what matters and why. At this level, we expect you to create alignment.
- Contribute to Company-Level Decisions & Roadmap: Your impact should reach well beyond what you ship. Bring bets to the betting table backed by real customer conviction, competitive insight, and business judgment. Weigh in on how we plan quarters, how we position against competitors, and how we tell our story to customers. See your bets through with evidence, judgment, and taste.
Required Skills & Experiences
Required:
- 7+ years as a Product Manager, including meaningful time at a company known for strong product culture — where you learned what a great product org looks like from great leaders, and where you were trusted to operate with real autonomy.
- 0→1 experience. You've taken a product from zero to meaningful customer usage. Ideally, in an early-stage environment (seed/Series A), where you didn't have a full supporting cast to lean on.
- AI-native fluency. You've shipped LLM-based features in production. You understand evals, hallucination management, latency/cost tradeoffs, and failure-mode design — even if you didn't write the eval code yourself. You use AI tools fluently in your own PM work to draft, prototype, research, and design. You have a real, developed point of view on how the PM role is changing in an AI-native world.
- Exceptional written and verbal communication. Clarity under compression is a baseline expectation. At this level, you're also helping set the standard for how the team communicates.
- Strong technical fluency. Comfortable driving real conversations with senior engineers about architecture, tradeoffs, and constraints — not just translating between them.
- Strategic range. You've operated beyond your own surface and influenced roadmap direction, contributed to company-level planning, and shaped how your org thinks about a market. You have opinions that change what gets built, and you back them with evidence.
Nice to Haves
- Previous founder or first-PM experience at an early-stage startup
- Experience building tools for researchers or in the market research industry
- Background operating in a senior IC role in a flat, founder-led environment.
Benefits
Upon joining the Knit team, you will receive a competitive salary + commission plan if applicable to role, Equity Options, Healthcare (medical, dental, and vision), and Additional Coverage, a company laptop and one-time, onboarding Technology Stipend, a 401(k) with company match, flexible time-off, hybrid working, and more!
Salary
In accordance with New York pay transparency requirements, the salary range for this role is $205,000 - $235,000. Final compensation will be determined based on the candidate’s level, experience, and qualifications upon joining Knit.
Our Company Values
We are the Championship Team. This means we:
- Are 1% better every day: We approach situations with a growth mindset and ask, “How can we make the business better?” and “What would it take?”
- Play to win: We set audacious goals and push ourselves to achieve them with a bias towards action (When we see a need, we take initiative, and hold ourselves accountable to seeing it through).
- Keep the main thing the main thing: Identify what has the biggest impact and prioritize to focus on it.
In accordance with New York pay transparency requirements, the salary range for this role is listed below. Final compensation will be determined based on the candidate’s level, experience, and qualifications upon joining Knit.
Salary Range: $205,000 USD - $235,000 USD
Knit Privacy Policy here. CCPA disclosure here.
Job Roles at Knit
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Get Access To All JobsTips for Finding Knit Visa Sponsorship Jobs USA
Target roles that align with H-1B specialty occupation requirements
Knit sponsors H-1B visas, which require a direct link between your degree and the role. Focus your application on technical positions where a specific field of study is clearly required, not just preferred, to strengthen your petition.
Research Knit's product and engineering focus before applying
Knit builds software products, so candidates in engineering, data, and product development are most likely to align with roles that qualify for H-1B sponsorship. Tailoring your application to their core technical stack signals genuine fit.
Ask about sponsorship willingness early in the process
Knit has sponsored H-1B visas but does so selectively. Raise the sponsorship conversation before or during early interviews so both sides can assess fit without wasting time if the role isn't approved for sponsorship.
Highlight specialized skills that are hard to source domestically
H-1B sponsorship decisions often hinge on whether the candidate brings skills not easily found locally. Emphasize niche technical expertise, certifications, or domain knowledge that makes your profile compelling to a smaller tech employer like Knit.
Browse verified sponsoring employers before applying broadly
Rather than guessing which companies will sponsor, use Migrate Mate to filter by real sponsorship history in the Technology & Software space. It surfaces employers like Knit that have an actual track record, saving you time on dead ends.
Understand the H-1B timeline and plan your job search accordingly
H-1B cap-subject petitions have an April filing window for October starts. If you're targeting Knit, begin conversations by January or February so there's enough lead time for LCA filing, petition preparation, and employer approvals before the deadline.
Frequently Asked Questions
Does Knit sponsor H-1B visas?
Yes, Knit does sponsor H-1B visas. The company operates in the Technology & Software industry and has used H-1B sponsorship to hire skilled international workers into technical roles. Sponsorship is selective rather than routine, so candidates should confirm sponsorship availability directly with the hiring team early in the process.
What types of roles at Knit are most likely to receive visa sponsorship?
H-1B sponsorship at Knit is most commonly associated with technical and engineering positions, where the degree-to-role connection required for a specialty occupation petition is clearest. Roles in software development, data, and product tend to be the strongest candidates. Non-technical or generalist roles are less likely to qualify for H-1B sponsorship at a company of this size.
How do I know if a specific Knit job listing includes visa sponsorship?
Job listings don't always disclose sponsorship availability, and Knit is no exception. The most reliable approach is to ask the recruiter directly during your first touchpoint. You can also use Migrate Mate to browse Knit's open roles alongside verified sponsorship history, so you're applying with context rather than guessing.
What is the typical application and sponsorship timeline if I'm targeting Knit?
For H-1B cap-subject candidates, the window is tight. USCIS opens H-1B registration in March, with petitions filed in April for an October 1 start date. That means you should be in active conversations with Knit by January or February at the latest. Starting the process late risks missing the filing window entirely, delaying your start by a full year.
How do I find open jobs at Knit that are open to visa sponsorship?
Start by reviewing Knit's current openings and filtering for roles in engineering or technical functions where H-1B sponsorship is most viable. For a more targeted search, Migrate Mate lets you filter by employer sponsorship history, visa type, and industry, so you can identify Knit roles alongside other verified sponsors in the Technology & Software space, all in one place.