Staff UX Researcher

Conga•Houston, MA

1d•Hybrid

About The Position

As a Staff UX Researcher at Conga, you'll operate at the intersection of research strategy, cross-functional influence, and hands-on craft. You'll be a senior individual contributor role with broad scope - spanning multiple product areas, guiding our research program, and elevating the quality of how Conga builds for its customers. The strongest candidates are proactive, excellent communicators. You'll craft the right questions for each study, operationalize research programs, and translate findings into decisions that account for business and user needs. You work comfortably with ambiguity, build trust with partners across product, design, customer success, and engineering, and hold a clear perspective on what good research looks like. Conga’s products are used by enterprise teams to manage some of the most consequential workflows in their business: contracts, pricing, revenue operations. When the experience is confusing, deals stall and teams lose trust in the tools. When it's clear and well-considered, it compounds. As a Staff UX Researcher, your work shapes the research culture, methods, and activities that determine how deeply the entire organization understands its customers. The quality of your research will extend far beyond any single product study or area and will have a lasting impact.

Requirements

8+ years of UX research experience with a portfolio demonstrating complex enterprise or SaaS research work
Deep command of both generative and evaluative research methods and clear judgment about when to use which
Experience designing and scaling research operations through recruitment, templates, training, repositories, and tooling
Experience working in cross-functional enterprise environments with multiple simultaneous workstreams
Ability to influence product and design direction through relationship-building and excellent communication strategies
Ability to build alignment, earn trust, and move organizations forward through clear thinking and consistent follow-through
Ability to express views with clarity and conviction, while remaining open to other perspectives
Ability to synthesis and communicate raw findings to a clear, stakeholder-ready narrative
Proficiency in research tools (e.g., UserZoom, UserTesting, Alchemer, or comparable platforms) and complementary tools like MS Office, Tableau, PowerBI, and Claude

Nice To Haves

Experience in an enterprise SaaS software environment
Researching AI-powered product features, agentic workflows, or conversational interfaces
Building or contributing to a first-time research program or practice
Comfort with mixed methods approaches that integrate quantitative behavioral data alongside qualitative findings
Strategic curiosity
Passion for your craft
Willingness to travel (~10-15%) for research and team collaboration

Responsibilities

Contribute to the build-out of Conga’s UX Research Program, including research operations, templates, participant recruitment, establishing baseline metrics, and shared standards
Lead end-to-end research across complex, cross-functional product areas from planning through synthesis, analysis, insights, reporting, and actions
Design and run studies across a range of quantitative and qualitative methods, including concept validation, user interviews, usability testing, prototyping testing, and surveys
Translate research findings into clear, compelling narratives that inform product strategy and decision-making across leadership, PM, and engineering
Partner closely with product designers and PMs to embed research into every stage of the design and development process, working strategically to influence business outcomes
Mentor designers and PMs in applied research methods, building organizational research fluency over time
Define and track research metrics and KPIs over time and share results with leadership
Proactively identify research gaps across the product portfolio and advocate for prioritization based on business impact, user benefit, and risk mitigation
Partner closely with lead data analyst to determine the “why” behind user engagement analytics - including clicks, drop-offs, feature adoption, and session replays – uniting qualitative with quantitative analysis