Jobs at Knit

Own the end-to-end product design function as Knit’s first designer, leading projects from discovery through launch. Build and maintain the company’s design system, improve complex workflows, establish visual and interaction standards, and create intuitive experiences for human researchers and AI agents. Conduct user research, collaborate closely with product and engineering teams, work directly with enterprise customers, and ensure high-quality implementation. The role offers significant autonomy and potential to build a future design team.

Supports the CEO by proactively managing their calendar, priorities, preparation, logistics, travel, expenses, stakeholder coordination, deadlines, and follow-ups. The role partners with the Chief of Staff and leadership on high-priority projects and events, ensuring the CEO remains focused on strategic, high-leverage responsibilities. Success requires exceptional organization, judgment, discretion, communication, responsiveness, and the ability to operate effectively in a fast-paced startup environment.

Build and operate AI-native full-stack products, including multi-agent LLM orchestration, scalable FastAPI services, data pipelines, React and Next.js interfaces, experimentation platforms, evaluation systems, and reliability infrastructure. The role owns features from design through deployment, optimizes performance, leads incident response, partners with customers and cross-functional teams, and mentors engineers. It requires strong Python and TypeScript skills, experience with LLM systems, event-driven workflows, observability, enterprise security, and rapid product delivery.

Own a product surface end to end, from customer discovery and product strategy through delivery, adoption, and measurable business impact. The Senior Product Manager will write specifications, prioritize roadmaps, partner with engineering, research, and GTM, and develop AI-native product capabilities involving evaluation, quality loops, and human oversight. The role requires direct customer engagement, strong communication, technical fluency, and cross-functional leadership in an early-stage environment.

Lead end-to-end product strategy and execution for an AI-native consumer research platform. Own a meaningful product surface from discovery through adoption, develop customer insight, ship LLM-powered capabilities, define evaluation and quality strategies, and align Engineering, Research, and GTM. Influence company-level roadmap decisions through customer research, competitive insight, and business judgment while driving adoption, product velocity, revenue impact, and retention.

Build and own full-stack, AI-native products, including multi-agent LLM orchestration, scalable FastAPI services, high-throughput pipelines, and React interfaces. Develop experimentation, evaluation, observability, safety, and rollout systems for AI agents. Optimize performance, reliability, and infrastructure while partnering with Product, Design, Customer Success, and customers. Lead incident response, on-call operations, testing, deployments, and architectural decisions in a high-ownership NYC engineering team.

Own customer research projects from discovery and scoping through questionnaire development, analysis, topline delivery, and stakeholder-ready presentations. Serve as the primary research lead for enterprise accounts, advise customers on research solutions, manage project risks, maintain customer context, and support retention, upsells, and pilot conversions. Contribute feedback to improve Knit’s AI-generated research outputs and stakeholder-ready reporting.

Build and manage Knit’s market researcher community, conference presence, regional roadshows, virtual programming, and customer advocacy initiatives. The role develops content-led events, cultivates customer champions, creates target-account touchpoints, and partners with marketing operations, sales, customer success, and product marketing on event logistics and programming. Success includes sustained community engagement, impactful regional events, smooth conference execution, and a growing network of customer advocates.

The Director of Growth Marketing will own strategy and execution across paid, organic, content, lifecycle, and account-based programs to generate qualified leads and predictable pipeline growth. Responsibilities include managing budgets, optimizing campaigns and funnel conversion, analyzing performance, improving attribution and forecasting, and partnering with Sales, SDRs, RevOps, Product Marketing, Content, and Events. This hands-on role will build scalable growth processes and may eventually lead a team.

Own the end-to-end product design experience as Knit’s first designer. Lead projects from discovery through launch, build the company’s design system, simplify complex workflows, and establish product design standards. Partner closely with product, engineering, researchers, customers, and the Chief Product Officer. Conduct user research, usability testing, and analytics-driven evaluation while balancing visual polish, UX quality, speed, and business goals. The role may eventually grow into leading a design team.

Own and grow a portfolio of enterprise, mid-market, and private equity clients through retention, renewals, expansion, commercial negotiations, enablement, and strategic account management. Lead onboarding, training, platform adoption, business reviews, and product advocacy while partnering with Sales, Support, Research, and Product. Success is measured by revenue retention, expansion, account health, use-case activation, and economic-buyer relationships.

Drive net-new enterprise revenue by prospecting, qualifying, and closing Fortune 1000 customers. Manage the full consultative sales cycle, develop tailored outreach, build territory pipeline, maintain accurate forecasts, and identify expansion opportunities. Partner with Research, Marketing, Product, and Customer Success teams, ensure effective post-sale handoffs, and represent the company at conferences and industry events.

Build and operate AI-native full-stack products across Python and TypeScript. Own agent orchestration, LLM workflows, scalable FastAPI services, data pipelines, React interfaces, experimentation platforms, observability, performance, and enterprise security. Collaborate with Product, Design, AI, Customer Success, and customers to turn ambiguous problems into reliable products. Lead incident response, contribute to on-call operations, mentor engineers, and shape the architecture of a growing NYC engineering team.

Own a meaningful product surface end-to-end, from customer discovery and strategy through delivery, adoption, and measurable business impact. Lead AI-native product decisions involving evaluations, hallucination management, latency, cost, and failure modes. Partner with engineering, research, GTM, and executive leadership to shape roadmaps, improve execution, influence company-level bets, and deliver 0-to-1 products for enterprise customers.

Leads customer research projects from scoping through stakeholder-ready delivery, serving as the primary research advisor and accountable owner for assigned enterprise accounts. Responsibilities include developing research solutions, writing and editing quantitative and qualitative questionnaires, creating analysis plans, presenting insights, improving AI-generated research outputs, collecting product feedback, and managing direct reports. The role supports customer retention, expansion, and successful pilot conversions through high-quality research outcomes.

Leads Knit’s research operations function, overseeing survey programming, fieldwork, data quality assurance, vendor partnerships, automation, and offshore teams. Owns strategy, KPIs, staffing, organizational design, budgets, sampling operations, feasibility, operational readiness, and partner performance. Collaborates with Product, Engineering, Research, Sales, Marketing, and Operations to scale capabilities, improve data quality and delivery speed, expand audiences, and increase automation and margins.

The Enterprise Account Executive will drive net-new enterprise revenue by prospecting, qualifying, and closing Fortune 1000 partnerships. Responsibilities include consultative discovery-led selling, tailored outreach, pipeline and forecast management, cross-functional collaboration with Research, Marketing, Product, and Customer Success, post-sale handoffs, cross-sell identification, and representing the company at industry events. Success is measured by new-logo revenue, territory growth, pipeline quality, and sales-process excellence.