---
title: 'Senior Demand Generation Manager at Great Question'
canonical: 'https://feeny.ai/job/senior-demand-generation-manager-great-question-canada-af4fcp4gxtzj'
type: 'job'
last_seen: '2026-09-09'
---

# Senior Demand Generation Manager at Great Question

- **Company:** Great Question
- **Location:** Canada
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-17
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/greatquestion/5c2a4687-ff49-4b5b-afe6-2eb6cd890c73

## Job description

## ABOUT GREAT QUESTION:

Great Question is the all-in-one AI 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 🚀

## WHAT YOU'LL OWN

This role owns one number: SQLs.

You'll own the demand engine that generates a predictable stream of high-intent leads, and you'll be accountable for their quality through to Sales Qualified Lead (SQL).

Specifically, you'll own:

- SQL attainment — building the demand engine that consistently delivers qualified opportunities.
- Channel strategy — deciding where the next dollar and the next hour should go across organic search, AI search (AEO), content, gated assets, referrals, directories, events and paid acquisition.
- Execution at scale — leveraging contractors, automation and AI to execute more programs than a traditional one-person demand generation team could.

## WHAT YOU'LL DO

- Build and execute demand generation programs across organic search, AI search, content, partnerships, gated assets, referrals, directories, events and paid acquisition.
- Take product marketing assets and messaging and turn them into repeatable lead-generation systems—gating content, distributing it through the right channels, repurposing it for social, newsletters and AI search, and continuously improving performance.
- Segment and target the practitioner audiences we sell to—researchers, designers and product managers—so we attract the right buyers, not simply more buyers.
- Partner closely with Product Marketing to move quickly from hypothesis → launch → measurement → iteration.
- Work alongside our Growth Lead and GTM Engineer to build AI-assisted workflows for enrichment, personalization, content production, routing and automation so execution scales without linear headcount.
- Measure the funnel rigorously—MQL → SQL → SQO conversion, cost per qualified lead and channel ROI—and make data-driven decisions about where to invest, where to optimise and what to stop.

## HOW THE ROLE FITS

We're intentionally a lean marketing team. Each person owns a distinct stage of the funnel with clear accountability.

Product Marketing Creates the positioning, messaging and assets.

↓

Demand Generation (this role) Turns those assets into qualified demand and owns lead quality through to SQL.

↓

Growth Lead Qualifies SQLs into SQOs and pipeline.

Success depends on tight collaboration. You and our Growth Lead own the same SQL number from different sides of the handoff, supported by a shared SQL definition and response SLA.

## WHAT WE'RE LOOKING FOR

## MUST-HAVE

- 5–8 years in B2B demand generation or growth marketing, ideally within SaaS.
- You've personally owned a pipeline, SQL or qualified lead target—and delivered against it.
- You think in revenue, conversion rates and pipeline, not marketing vanity metrics.
- You've built and operated multi-channel demand programs end to end, continuously improving performance based on data.
- You're AI-native in practice. You've built workflows where AI materially increased output or reduced execution time, and you can explain exactly what changed. (We'll ask.)
- Strong channel judgment—you know where to double down, where to experiment and where to stop investing.
- Comfortable operating in a lean environment where success comes from systems, contractors and automation rather than building a large team.
- Strong cross-functional communication and the ability to align Product Marketing, Sales and Operations around shared outcomes.

## NICE TO HAVE

- Experience building marketing automation systems using tools such as HubSpot, Cargo, Ahrefs or Smartlead.
- Experience marketing technical products to practitioner audiences such as UX Researchers, Designers or Product Managers.

## SUCCESS IN THE ROLE

Within your first 12 months, we'd expect to see:

- SQL targets consistently achieved.
- Repeatable demand programs operating across multiple acquisition channels.
- AI and automation meaningfully increasing execution capacity.
- Clear visibility into channel performance and economics.
- A demand engine that scales faster than headcount.

## COMPENSATION

- Competitive on-target earnings (OTE), benchmarked to your experience and location.
- 70% base salary / 30% variable compensation.
- Variable compensation is earned quarterly against SQL attainment, scales with performance, and is uncapped.

## WHY YOU’LL LOVE WORKING HERE:

- A culture of customer obsession and curiosity
- Opportunity to shape and scale a critical business function
- Remote-first culture with high trust and high autonomy
- Annual team retreats and virtual events
- Opportunity to work on cutting-edge AI integrations that matter
- Competitive compensation & equity
- Generous PTO, health benefits, and learning stipend

## EQUAL OPPORTUNITY STATEMENT

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.

## About Great Question

## Company Overview
- **One-liner**: Great Question is an AI-powered UX research platform that unifies participant recruitment, study execution, and insight analysis for product teams, replacing an average of 12 separate tools.
- **Entity Type**: Private (Series A)
- **Headquarters**: Oakland, California, United States
- **Founded**: 2020 (per CB Insights) or 2021 (per LinkedIn)
- **Founders**: Not publicly available

## Core Business
- **Primary industry/industries**: UX Research Software, User Research Platform, SaaS
- **Target customers**: B2B – product managers, designers, UX researchers, research ops teams, and enterprise product organizations (from early-stage startups to Fortune 5 enterprises)
- **Mission or purpose statement**: “Democratize customer research” – make it easy for every team to talk to customers and build better products, just as Figma democratized design ([greatquestion.co/about](https://greatquestion.co/about))

## Products & Services
- **Great Question Platform**: All-in-one UX research platform that combines recruitment, study setup, and AI analysis. Supports user interviews, prototype tests, surveys, focus groups, and usability tests. Includes a centralized repository for insights, transcripts, highlights, and reels. Integrates with 50+ tools (Slack, Figma, Snowflake, etc.) and offers an MCP for running research directly from Claude, Cursor, or ChatGPT ([greatquestion.co](https://greatquestion.co/))
- **Panel Management**: Recruit from your own customer database by connecting CRM (Salesforce, Snowflake, or API) – filter, segment, and recruit without per-participant cost for existing customers
- **Enterprise Features**: SOC 2 Type II, GDPR, and HIPAA compliant; role-based governance, guided workflows for non-researchers, and centralized compliance controls

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding of $15.63M, with a $13M Series A raised in November 2025 led by Inovia Capital ([cbinsights.com](https://www.cbinsights.com/company/great-question), [linkedin.com](https://www.linkedin.com/company/great-question))
- **Notable Investors/Partners**: Y Combinator, Character Capital, January Capital, Inovia Capital, FundersClub, and 10+ others
- **Growth Signals**:
  - Headcount: 42 employees (+17% YoY, operating in 9 countries) ([linkedin.com](https://www.linkedin.com/company/great-question))
  - LinkedIn followers: 7,706 (+39.3% yearly)
  - Customer wins: Flight Centre saved $300–400K annually, Procare saved $15,000+ annually and 7 hours/month on recruitment
  - Introduced comprehensive MCP in March 2026, enabling research from AI coding assistants
  - Average customer replaces 12 separate research tools with Great Question

## Competitive Advantages
- **All-in-one platform**: Replaces recruitment, testing, and repository tools in a single workflow – no need to pay for and manage multiple vendors
- **AI-powered analysis**: Summaries, pattern detection, and clip creation that link back to source data, saving hours of manual analysis
- **Enterprise-grade security**: SOC 2 Type II, GDPR, HIPAA, regular penetration testing – trusted by financial services, healthcare, and government customers
- **Deep integrations**: Connects to Slack, Figma, Snowflake, and 50+ other tools, plus MCP for AI-native workflows
- **Self-serve for non-researchers**: Guided templates and governance controls let product managers, designers, and marketers run research while maintaining quality

## Strategic Focus
- **Democratizing research**: Enable every team within an enterprise to conduct customer research with guardrails, turning insights into a shared, always-on capability
- **AI-first innovation**: Expanding AI capabilities (MCP, automated moderation, AI analysis) to further reduce friction and accelerate research velocity
- **Enterprise scale**: Targeting large enterprises that need to consolidate tool stacks, improve compliance, and scale research across hundreds of PMs and designers
- **Global expansion**: Already operating in 9 countries, with a distributed team serving customers worldwide

## Why Work Here
- **Culture values**: C.R.A.F.T. – Customer Obsessed, Relentless Prioritization, Trust in Action, Always Great, Froth (fun, play, and appreciation) ([greatquestion.co/about](https://greatquestion.co/about))
- **Work environment**: Remote-friendly with team members across the US, Brazil, Australia, Canada, Portugal, Philippines, New Zealand, Ukraine, and Singapore
- **Growth trajectory**: Series A funding, 17% headcount growth, and expanding enterprise customer base (Amazon, ServiceNow, Asana, Gusto, Canva, Brex, etc.)
- **Engineering culture**: AI engineer intern roles posted; focus on building a “great product and a great place to work” with a balance of speed and rigor
- **Perks**: Not explicitly listed, but the company emphasizes “froth” – taking work seriously but never themselves, creating space for fun and appreciation

## Sources
1. [greatquestion.co](https://greatquestion.co/)
2. [greatquestion.co/about](https://greatquestion.co/about)
3. [cbinsights.com](https://www.cbinsights.com/company/great-question)
4. [linkedin.com](https://www.linkedin.com/company/great-question)
5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/greatquestion)

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