Founding Account Executive

Overview

You're the first sales hire at a YC Winter 2025 company with 9 employees, selling AI-powered content creation tools to B2B marketing teams and GTM leaders. You handle everything: first demo, close, onboarding, adoption check-ins, and upsells. The company has closed 12 deals since January and claims to have "massive inbound" waiting, serving companies from Seed to IPO stage.

Role Snapshot

Company Context

Stage: Seed (YC F25 - Winter 2025 batch, likely pre-Series A)

Size: 9 employees (you'd be employee #10 or close to it)

Growth: 12 customers closed since January (roughly 2 deals/month), recently out of YC

Market Position: Category participant in crowded AI content/marketing tools space - competing against established players (Jasper, Copy.ai, etc.) and dozens of newer AI content startups

GTM Reality

Pipeline Sources:

• 60-70% Inbound - YC batch promotion, founder network, product-led interest from website/demos. Quality varies: some serious buyers, lots of tire-kickers curious about AI content
• 20-30% Outbound - You'll identify target accounts (B2B SaaS companies with content pain) and run outbound sequences when inbound slows
• 10% Referrals - Early customer referrals, YC network introductions

SDR/AE Structure: No SDR. You qualify all inbound leads yourself and do your own outbound prospecting

SE Support: No dedicated SE. Founders likely demo with you initially, but you'll own technical demos as you ramp

Competitive Landscape

Main Competitors: Jasper, Copy.ai, Writer, Anyword (established AI content tools), plus 50+ newer AI writing startups from recent batches

How They Differentiate: Positioning around "persona research" and "brand DNA" suggests they're trying to be more strategic/high-end than commodity AI writing tools

Common Objections: "We already have ChatGPT/Claude", "Our team can write content", "Not sure if AI content ranks/converts", "Too early-stage for us"

Win Themes: Speed to publish, consistency across content, freeing up team for strategy vs writing grunt work

What You'll Actually Do

Time Breakdown

Active Deals (30%) | Lead Qualification (25%) | Customer Success (20%) | Outbound (15%) | Internal/Ops (10%)

Key Activities

• Lead Qualification Calls: Take 5-10 inbound demo requests per week, figure out if they're real buyers or just kicking tires on AI tools. Most will be early-stage startups without budget or established companies not ready to change their content process
• Product Demos: Run 3-5 demos per week showing how the AI generates content from their brand voice. You'll field questions about originality, SEO impact, and integration with their workflow. Expect lots of "this is cool but..." reactions
• Deal Closing: Chase 10-15 active opportunities through evaluation, getting them to actually commit budget and start onboarding. Deals stall when they want to "test ChatGPT Plus first" or when the marketing leader needs engineering approval for another tool
• Customer Onboarding & Expansion: Spend 5-8 hours/week in check-in calls with existing customers, making sure they're publishing content and seeing ROI. You'll upsell seat expansions and advanced features. Some customers will be thrilled, others will quietly churn because they're not using it
• Building Playbook: Document what's working in a Google Doc - email templates, objection handling, demo flow, pricing negotiations. This becomes the training manual for the next AE hire

The Honest Reality

What's Hard

• You're selling in an incredibly noisy space - everyone has an AI content tool now, and many buyers think "I'll just use ChatGPT for free". Differentiation is tough when you're 9 people competing with funded companies and OpenAI itself
• You wear every hat: AE, SDR, CSM, sales ops, sometimes product feedback loop. There's no handoff - if a customer has an issue at 4pm, you're handling it, even if you have a demo at 4:30
• "Massive inbound pipeline" is relative at this stage. You'll have leads, but many will be small companies without budget or teams just exploring AI tools with no intent to buy. Expect 50%+ of inbound to be unqualified
• Founders are technical (AI/product people), not sales people. You're building the sales process from scratch with minimal guidance on deal structure, pricing flexibility, or contract terms
• Customer churn will happen - some buyers will try it for 2-3 months, not change their workflow, and cancel. You'll feel that directly since you onboarded them

What Success Looks Like

• Close 3-4 deals per month consistently ($30-40K MRR added per month)
• Keep churn under 10% monthly by staying close to customers post-sale
• Build repeatable demo-to-close process that the next AE can follow
• Identify which customer segments actually get value (company size, content volume, use case) so marketing can focus there

Who You're Selling To

Primary Buyers:

• VP Marketing / Head of Content at Series A-C SaaS companies (50-200 employees)
• Founders wearing marketing hat at Seed stage startups (10-30 employees)
• Content Marketing Managers at growth-stage B2B companies

What They Care About:

• Publishing velocity - can they go from 2 posts/week to 5 without hiring writers?
• Brand consistency - does the AI actually sound like their company or generic?
• ROI proof - will this content generate pipeline or just fill the blog?
• Effort to implement - how much do they need to train the tool on their brand?

Requirements

• 3-5+ years selling B2B SaaS, ideally marketing software (marketing automation, content tools, SEO platforms) to marketing leaders
• Experience at early-stage startup (Series A or earlier) where you built sales process, not just followed existing playbook
• Comfortable with ambiguity - no defined quota, no sales ops support, no manager with all the answers
• Customer success mentality - you'll own retention and expansion, not just new logos
• Based in San Francisco for in-person collaboration with 9-person team