Revenue Operations Manager

Great Question is the all-in-one customer research platform for understanding your customers. Our platform enables teams to recruit participants, run research, and share insights – all in one place. Backed by world-class investors and trusted by industry-leading teams like Gusto, Experian, Canva, and Brex, we’re building the future of customer research.

We believe AI is a multiplier for creativity, speed, and scale. Everyone on the team is encouraged to lean into AI, not just to be more efficient, but to push boundaries and unlock new possibilities. Whether you’re writing, designing, coding, or analyzing, we expect you to explore how AI can elevate your craft.

Our culture is built on high trust, high agency, and high emotional intelligence. If you’re looking for a place where your voice matters, where work is fun, and where you're empowered to do your best - join us in redefining user research 🚀

At Great Question, we’re building more than just a product, we're building a culture grounded in values that drive how we work:

• Solve for the customer: Everything we do, from product decisions to marketing strategies, starts with a simple question: does this serve our customers’ needs?

• Quality matters: We balance speed with intention, aiming to build a product that people trust and love.

• We ship: Speed is part of our DNA. We prioritize getting valuable work into the hands of customers early and often.

• Continuous improvement: Feedback is fuel. We thrive on learning from peers, customers, and each other.

And we believe the best work happens in an environment that supports trust, creativity, and ownership:

• Froth: We leave room for fun. Work should be energizing, not draining.

• Disagree and commit: Healthy debate is welcomed. Once a path is chosen, we unite and move forward together.

• Sign your name: We take pride in our work and follow through on our commitments with excellence and accountability.

As our first ever RevOps hire, you will serve as a force multiplier for Great Question's revenue organization. You’ll be responsible for owning the systems, processes, and data that power our go-to-market motion, enabling our teams to be more efficient, informed, and aligned. This is a high-impact, cross-functional role requiring both strategic vision and hands-on execution.

You’ll not only optimize our existing RevOps stack but also lead the charge in adopting and operationalizing AI-native tools that drive smarter, faster revenue growth. We’re looking for someone who’s ahead of the curve and is excited by how AI is reshaping the GTM landscape and eager to bring that future to life.

• Own and manage the full suite of GTM tools including HubSpot, Apollo, while leading the adoption of next-generation, AI-powered platforms like Clay, Common Room, and Equals.
  

• Ensure system reliability, data hygiene, and user adoption through thoughtful configuration, documentation, and training.
  

• Partner with vendors to optimize tool performance and evaluate new technologies as needs evolve.
  

• Build and scale the technical infrastructure (e.g., workflows, integrations, automations, lead routing, enrichment) that powers Great Question’s go-to-market activities.
  

• Design scalable processes that support lead management, deal execution, pipeline growth, and customer retention.
  

• Support cross-functional experiments and implement feedback loops that improve efficiency across the GTM funnel.
  

• Leverage AI-powered tools (e.g., Equals, ChatGPT, embedded analytics, etc.) to accelerate analysis, automate recurring insights, and uncover non-obvious patterns with the goal of helping the team move faster and make smarter decisions with less manual work.
  

• Identify trends, opportunities, and bottlenecks across the funnel and recommend optimizations.
  

• Build and maintain dashboards, reports, and forecasting models that drive strategic planning and accountability.

• Support right-side-of-the-funnel analysis, including Product-Led Growth (PLG) metrics like PQLs, CSQLs, and activation behavior, to align go-to-market motions with product engagement signals.

• Equip the revenue team with the resources, content, and training plan they need to drive meaningful conversations and close deals.
  

• Own sales team onboarding, playbooks, enablement content, and continuous learning initiatives for the sales team, collaborating with marketing for the creation of the content
  

• Partner closely with Marketing and Product Marketing to ensure messaging and assets are aligned with buyer needs.

You’re a strategic and detail-oriented Revenue Operations pro with 6+ years of experience in high-growth SaaS. You balance strategy with execution and are passionate about using modern AI tools to supercharge GTM performance.

• Proven success partnering across Revenue, Marketing, Finance, Product teams.

• Skilled at prioritizing ruthlessly, making trade-offs, and focusing on what drives impact.
  Equally comfortable setting GTM strategy and building workflows or pulling data.

• Hands-on experience with AI-native GTM tools like Clay, Common Room, Equals, or similar—and excitement to explore what’s next.

• Strong in process design including lifecycle stages, lead routing, sales handoffs, enablement.

• Data fluent, with experience in Excel/Sheets, BI tools, and ideally SQL.

• Hands-on experience with HubSpot, Apollo, and other GTM tools.

• Excellent communicator who can confidently engage executive stakeholders.

• A culture of customer obsession and curiosity

• Opportunity to shape and scale a critical business function

• Competitive compensation & equity

• Fully remote team with flexible work hours

• Annual team retreats and virtual events

• Generous PTO, health benefits, and learning stipend

Great Question is committed to providing a workplace free from discrimination or harassment. We expect every member of the Great Question community to do their part to cultivate and maintain an environment where everyone has the opportunity to feel included, and is afforded the respect and dignity they deserve.

Decisions related to hiring, compensating, training, evaluating performance, or terminating are made fairly, and we provide equal employment opportunities to all qualified candidates and employees. We examine our unconscious biases and take responsibility for always striving to create an inclusive environment that makes every employee and candidate feel welcome.