Typeform

Build and maintain backend services, APIs, and internal tooling used across product development teams. Improve infrastructure powering component distribution, asset management, documentation, and release workflows.

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Who we are Typeform is a refreshingly different form builder helping over 150,000 businesses collect data with forms, surveys, and quizzes. It drives 500 million responses annually and integrates with tools like Slack, Zapier, and Hubspot. The company is fully remote and hires candidates based in the UK, Ireland, Germany, Portugal, or The Netherlands. About the role The Agency Partner Manager will own and scale Typeform’s Agency Partner Program by building revenue-generating relationships with marketing, digital, research, customer experience, and professional services agencies. A key focus is Research Flow, an AI moderated research platform that enables teams to design studies, recruit participants, run adaptive conversations, and generate insights quickly. The role involves recruiting and activating partners, supporting their growth, and driving new revenue. The position is part of the Partnerships team and collaborates with Sales, Marketing, Customer Success, Product, and Partner Operations. What you’ll do — Own the Agency Partner Program from recruitment and onboarding through enablement, activation, and ongoing partner success. — Build strong commercial relationships with agencies to extend Typeform’s reach and create new client solutions. — Help partners package Typeform and Research Flow into services across customer research, market research, lead generation, marketing, and customer experience. — Drive net new monthly recurring revenue through agency sourced and influenced opportunities, collaborating with Sales and Customer Success. — Set and manage quarterly objectives for revenue, partner activation, and program growth. — Partner with Marketing on campaigns, webinars, case studies, content, and demand generation. — Refine partner segmentation, tiers, incentives, and reporting to scale the program efficiently. What we’re looking for — Five or more years of experience in partnerships, channel sales, business development, or agency management. — Proven track record of generating revenue through agency or services partners. — Strong understanding of marketing, digital, research, or professional services agency models. — Experience building scalable partner programs and processes. — Strong commercial judgment and confidence managing revenue, pipeline, forecasting, and partner performance. — Excellent relationship management and communication skills with ability to align stakeholders across teams. Nice to have — Experience with software as a service platforms or products with open APIs and integrations. — Familiarity with research technology, customer insight tools, or platform growth strategies. — Experience operating a self-serve or tiered partner program.

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Typeform is a form builder helping over 150,000 businesses collect data with forms, surveys, and quizzes. The company is fully remote and hires candidates based in the UK, Ireland, Germany, Portugal, or The Netherlands. Product Operations is central to how Product and R&D teams work, creating systems and practices to focus on solving the right problems and delivering products. AI is increasingly important, with teams experimenting with tools like Glean and Claude, automations, agents, and AI usage throughout product development. The role of AI Product Operations Lead involves building and operating internal AI Operations capability for R&D. It requires turning ambiguous opportunities into reliable solutions by identifying high-value AI problems, understanding workflows, designing solutions, building or coordinating delivery, and being accountable for performance after launch. Responsibilities include: — Building and improving a backlog of AI opportunities across R&D, prioritizing impactful AI jobs. — Taking ambiguous problems from discovery to delivery: understanding users and workflows, exploring options, designing systems, implementing, testing, documenting, launching, measuring, and improving. — Designing simple AI-native solutions fitting naturally into workflows, deciding when prompts, automations, integrations, agents, databases, or custom apps are appropriate. — Helping R&D get value from enterprise AI tools like Glean and Claude, partnering with IT and InfoSec on access, configuration, connectors, enablement, and support. — Owning the lifecycle of AI systems including automations, skills, agents, and internal web apps. — Establishing evaluation, testing, reliability, observability, security, and maintenance practices, improving systems over time. — Partnering across R&D to uncover needs, unblock delivery, clarify ownership, and involve experts. — Running and evolving R&D AI governance and enablement practices, providing leaders visibility into work, risks, adoption, and outcomes. — Participating in broader AI governance efforts as an R&D contributor. — Working with Finance and partners to improve visibility into AI tool usage, spend, and value to inform investments. — Exploring and supporting autonomous agents to improve planning, discovery, design, build, evaluation, and management across product development. Requirements: — Strong practical experience applying AI to real-world problems, building usable solutions. — Proven track record taking ambiguous problems from discovery through implementation, testing, adoption, and improvement. — Excellent systems thinking to understand people, processes, tools, data flows, integrations, permissions, and constraints, making trade-offs. — Strong user and workflow discovery skills to understand real jobs and simplify solutions. — Hands-on technical fluency building, modifying, troubleshooting internal workflows, automations, agents, or apps. — Practical experience with modern development tools like GitHub, repositories, pull requests, application hosting, deployment, logging, and troubleshooting. — Ability to manage work independently: prioritizing backlog, handling dependencies and risks, documenting decisions, communicating with stakeholders. — Strong approach to evaluation and reliability, defining "good", testing, collecting feedback, and improving live systems. — Ability to work effectively across technical and non-technical teams, asking questions, challenging assumptions, seeking expert input, and progressing without close supervision. — Good judgment on responsible AI, security, access, governance, and knowing when to involve partners. The role reports to VP of Product Operations and collaborates with Product, Engineering, Design, Research, Data Science, IT, InfoSec, and AI practitioners across Typeform.

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