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Knit Programmer Jobs (NOW HIRING)

... 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 ...

Knit is the AI-native consumer research platform helping brands automate and accelerate primary ... Overview We're continuing to build out our NYC engineering team and are looking for exceptional ...

Senior Product Manager

New York, NY · On-site

$138K - $182K/yr

... Knit becomes. You'll ship in two-week cycles alongside one of the strongest engineering benches you'll find at this stage - the kind of partnership that shortens the distance between idea and ...

... 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 ...

... 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 ...

About Knit Health Knit Health is building a novel clinical foundation model to improve the way ... Partner with Data Engineering to build scalable processing pipelines across structured and ...

Senior Data Scientist

San Francisco, CA · On-site

$140K - $175K/yr

... and Knit's clinical models into scientifically sound solutions that can be used in healthcare ... Partner with Data Engineering to build scalable processing pipelines across structured and ...

The position offers a blend of technical work, project oversight, and leadership within a close-knit engineering environment. Key Responsibilities: * Conduct and oversee geotechnical engineering ...

... knit engineering group. * Schedule: Full-Time | In-Office Ideal Candidate: * 3-5+ years of experience in BAS design, engineering, or related controls work * Proficient with AutoCAD and/or Visio for ...

Software Developer

Rock Hill, SC · On-site

$138K - $140K/yr

Participate in a tight-knit engineering team employing agile software development practices. Requirements: Master's degree in CS, IT, Engg or related. Salary ranges between $138,840.00 to $140,000.00 ...

Work as part of a small, tight-knit engineering team in a collaborative and autonomous capacity. Minimum Requirements: 5 years of hands-on ServiceNow experience with demonstrated ground-up ...

Sr. Full Stack Engineer

New York, NY · On-site

$175K - $200K/yr

Collaborate with a close-knit engineering team to develop and launch new features quickly and efficiently. * Work alongside product managers and designers to scope, refine, and prioritize initiatives.

Sr. Full Stack Engineer

San Francisco, CA · On-site

$175K - $200K/yr

Collaborate with a close-knit engineering team to develop and launch new features quickly and efficiently. * Work alongside product managers and designers to scope, refine, and prioritize initiatives.

Associate Software Engineer

Washington, DC · On-site +1

$110K - $130K/yr

Participating in sprint planning, code reviews, and technical design sessions within a tight-knit engineering team. * Writing unit tests and participating in CI/CD workflows to ensure the reliability ...

About Knit Health Knit Health is building a novel clinical foundation model to improve the way ... You do not need to be an engineer, but you should be tech-forward and effective working alongside ...

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Knit Programmer information

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How much do knit programmer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for knit programmer in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 per hour, depending on experience, location, and employer.

What is a knit programmer?

Knit Programmers are specialized professionals who create and modify programs for computerized knitting machines. They use software to design patterns, set machine parameters, and ensure that the final knitted products meet specific design and quality requirements. Their role bridges the gap between textile design and manufacturing technology, requiring both creative and technical skills. Knit Programmers often collaborate with designers, engineers, and production teams to optimize efficiency and innovate new textile products.

What are the key skills and qualifications needed to thrive as a knit programmer?

To thrive as a Knit Programmer, you need a solid understanding of textile manufacturing, pattern design, and knitting machine operations, often supported by a degree or diploma in textiles or garment technology. Familiarity with programming software such as M1plus, Shima Seiki SDS-ONE, or Stoll M1, as well as knowledge of CAD systems, is crucial. Attention to detail, problem-solving skills, and effective communication help ensure accurate pattern creation and collaboration with design teams. These skills are essential for producing high-quality knitwear efficiently and meeting both design and production requirements.

What are some common challenges a knit programmer faces when working with new yarns or patterns?

Knit Programmers often encounter challenges when working with unfamiliar yarns or introducing new patterns, such as ensuring stitch consistency and machine compatibility. Each yarn type may behave differently, affecting tension, elasticity, and final fabric appearance, which requires careful calibration and test runs. Additionally, translating complex design concepts into machine-readable code demands precision and troubleshooting skills to avoid errors. Close collaboration with designers and production teams is essential to achieve the desired results while meeting production deadlines.

What is the difference between Knit Programmer vs Knitting Machine Operator?

AspectKnit ProgrammerKnitting Machine Operator
Required CredentialsTechnical training, certifications in knitting softwareOn-the-job training, technical skills in machine operation
Work EnvironmentDesign studios, manufacturing facilities, software development settingsFactory floors, textile manufacturing plants
Employer & Industry UsageFashion, textile, apparel companies, software firmsTextile mills, garment factories, textile production
Common Search & Comparison IntentUnderstanding programming roles in knittingLearning about machine operation in textile production

The main difference between a Knit Programmer and a Knitting Machine Operator lies in their focus: Knit Programmers develop and modify knitting software and patterns, often working in design or tech environments. Knitting Machine Operators, on the other hand, operate and maintain knitting machines on the factory floor. Both roles are essential in textile manufacturing but require different skills and work settings.

What jobs can you do as a knit programmer?

A knit programmer typically works in the fashion or textile industry, designing and developing knitting patterns and machine programs for automated knitting machines. They may work in manufacturing, product development, or custom design environments, often requiring knowledge of knitting software and technical skills. Job roles can include pattern designer, machine programmer, or technical specialist in textile production.

What cities are hiring for Knit Programmer jobs?

Cities with the most Knit Programmer job openings:

What states have the most Knit Programmer jobs?

States with the most job openings for Knit Programmer jobs include:

What are popular job titles related to Knit Programmer jobs?

For Knit Programmer jobs, the most frequently searched job titles are:

Infographic showing various Knit Programmer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $82,234 per year, or $39.5 per hour.

Lead Product Manager

New York, NY • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 4 days ago


Job description

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.
  • 01 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.