Top Tech Jobs & Startup Jobs

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.

Owns a portfolio of enterprise and mid-market clients, driving retention, renewals, expansion, product adoption, enablement, and account health. Leads commercial negotiations, training, strategic reviews, and relationships with economic buyers. Partners with Support, Sales, Research, and Product to resolve issues, advocate for client needs, and influence the product roadmap. Requires substantial market research and commercially accountable client relationship experience.

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.

Own and grow 10–20 enterprise accounts across technology, telecommunications, and media. Drive renewals, upsells, cross-sells, net-new business, commercial negotiations, account planning, forecasting, and strategic relationships with senior insights, analytics, product, marketing, and research leaders. Collaborate with Customer Success, Research, and Product to expand platform adoption, represent the company at industry events, and deliver revenue growth and retention across complex Fortune 500 accounts.

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.

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.

Own client enablement, onboarding, product support, release readiness, and customer-success efficiency initiatives. Lead platform orientations and report walkthroughs, create training and Help Center content, respond to product questions, triage bugs, review AI-generated support responses, and communicate product releases. The role partners closely with Product, Engineering, Sales, Research, and Customer Success while improving workflows and supporting clients 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.

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.