Chief Sales Officer (CSO)

Overview

You're the first senior sales leader at a bootstrapped, profitable market research tech company selling AI-powered survey tools and access to their Opinion Elite panel. You'll work directly with the founder/CEO, bringing your existing research agency relationships and closing deals yourself while figuring out their go-to-market strategy. The product is survey data collection and panel access—you're selling to insights teams at agencies and consultancies who need respondents and data quality verification.

Role Snapshot

Company Context

Stage: Bootstrapped, profitable (no VC funding mentioned)

Size: 19 employees

Growth: Described as "rapidly expanding" but bootstrapped means growth is self-funded and deliberate

Market Position: Small player in the market research tech/panel space competing against established names. Their angle is AI-driven data quality and their proprietary panel.

GTM Reality

Pipeline Sources:

• 70-80% Your existing relationships - They explicitly want someone with a book of business. You're expected to bring deals from day one.
• 15-25% Founder-led warm intros and existing customer expansion
• 5-10% True net-new outbound to research agencies you haven't worked with

SDR/AE Structure: No SDR team. You're sourcing, running demos, scoping projects, negotiating, and closing. At 19 people total, this is a lean operation.

SE Support: Likely minimal to none. You may get the founder or a product person on technical calls, but you're owning the full sales process.

Competitive Landscape

Main Competitors: Established panel providers (Lucid, Cint, Dynata), full-service research platforms, traditional panel aggregators. Also competing with agencies' own panels.

How They Differentiate: AI-powered data quality verification, proprietary Opinion Elite panel, focus on accuracy over just volume. They're positioning as the "quality over quantity" option.

Common Objections:

• "We already have panel relationships"
• "How is your AI verification actually better?"
• "Your panel is smaller than [big competitor]"
• Cost concerns vs. established alternatives
• Integration complexity with existing workflows

Win Themes: Data quality issues with other panels, AI verification catching bad respondents, faster feasibility checks, better participant engagement metrics.

What You'll Actually Do

Time Breakdown

Selling (40%) | Relationship Management (25%) | Strategy/Systems (20%) | Internal (15%)

Key Activities

• Activate Your Network: You're calling research directors and insights leads you've worked with before. "We've worked together at [previous company], now I'm at QuantifyAI and we're solving [data quality problem]. Can I show you what we're doing?" You're leveraging trust you've already built.

• Run The Full Sales Cycle: You handle initial calls, product demos, feasibility discussions, CPM/CPI negotiations, MSA redlines, and closing. There's no handoff—if you generate it, you close it. You're on Zoom walking through panel demographics, explaining AI verification, and negotiating pricing structures.

• Build Sales Infrastructure: You're the first sales leader, so you're setting up: CRM hygiene, sales process documentation, pricing frameworks, contract templates, commission structures. The founder has been selling but you're professionalizing it.

• Represent at Events: You're going to QRCA, IIeX, maybe Quirks events. Booth conversations, speaking if possible, client dinners. The market research world is relationship-driven and these events matter.

• Navigate Complex RFQs: Research agencies send detailed RFQs with specific sampling requirements, feasibility questions, and pricing requests. You're coordinating with ops to assess feasibility, pricing projects, and writing proposals. Some RFQs are 20+ pages.

• Manage Founder Relationship: You report directly to the CEO who founded this company. They have opinions about product, pricing, and strategy. You're figuring out how to be strategic while respecting that they built this from scratch.

The Honest Reality

What's Hard

• You're Expected to Bring Revenue Immediately: "Existing book of business required" means they're hiring you because you have relationships that will convert. If your network doesn't translate to deals in Q1, this gets uncomfortable fast.

• Market Research Is Relationship-Driven and Slow: Even with warm relationships, research agencies are conservative. They have existing panel partners. You're asking them to take a risk on a 19-person company. Deals take months and often start with small test projects.

• You're Building While Selling: There's no sales playbook, no established pricing matrix, no standard demo deck. You're creating these while trying to hit a number. You're also the only senior sales person, so strategic decisions fall to you but you have to validate them with the founder.

• Niche Product, Niche Buyers: You're not selling to every company. You're selling to research agencies, consultancies, and brands with large insights teams. The TAM is limited and the buyers are sophisticated. They know sample quality, CPI economics, and panel management better than most products you'd sell.

• Bootstrapped Means Limited Resources: No massive marketing budget generating inbound. No brand awareness. No war chest to hire a team fast. You're scrappy and resource-constrained.

What Success Looks Like

• You close 8-12 new accounts in year one (mix of pilot projects and larger commitments)
• You build a repeatable sales process and document it so they can hire AEs underneath you
• You establish QuantifyAI as a credible alternative in your network—people start referring you to colleagues
• You define pricing/packaging that works and scales (moving away from pure custom quotes)
• You hit $1.5-2M in new ARR personally while building pipeline for future quarters

Who You're Selling To

Primary Buyers:

• Research Directors at full-service agencies (handling both B2B and consumer studies)
• Insights team leads at consulting firms (Deloitte, Accenture, boutique strategy shops)
• VPs of Consumer Insights at large brands (who field their own studies)

What They Care About:

• Data Quality: Can they trust your respondents? How do you verify attention, prevent bots, screen out bad actors?
• Feasibility & Speed: Can you hit their sample requirements (e.g., "500 CMOs at companies >$100M revenue")? How fast?
• Cost: What's your CPI/CPM vs. their current panels? Are you worth a premium?
• Integration: How hard is it to add you as a panel partner? API integrations, survey platform compatibility.
• Reliability: Will you deliver what you promise or will they have to explain to their client why the data is late/incomplete?

Requirements

• 10+ years selling market research services, online sample, or data collection (not adjacent—actual research industry experience)
• Existing relationships with research agencies and consultancies that will take your calls
• Book of business you can activate in first 90 days
• Deep fluency in survey sampling, feasibility, CPI economics, fieldwork operations (you can talk shop with research ops people)
• Experience selling both B2B and consumer audiences (not just one vertical)
• Comfortable managing full sales cycle from RFQ response to contract negotiation
• U.S.-based (required)
• Entrepreneurial comfort with ambiguity—this is a small, fast-moving company without established processes
• Strong communication skills for representing the company at industry events and client meetings