Village Labs is hiring a

Web3 Account Executive

Position: Account Executive
Location: San Francisco, CA (Hybrid/Remote Flexibility)
Type: Full-Time
Experience: 2–4 Years in SaaS Sales

Job Summary

You are an extremely high performing Account Executive early in your career with a very steep trajectory. You’ll drive new customer acquisition for our mid-market segment ($25k–$100k ACV), managing the full sales cycle from prospecting to close. This role is ideal for a highly motivated AE with 2–4 years of SaaS sales experience looking to grow into enterprise sales while mastering foundational skills in pipeline generation, value-based selling, and cross-functional collaboration. You’ll receive structured mentorship, and clear pathways for advancement.

Key Responsibilities

• Pipeline Execution: Manage 30–40 active opportunities monthly, converting inbound leads and self-sourced prospects into closed-won deals with 14–45 day sales cycles. 

• Discovery & Demos: Conduct needs analysis calls to map customer pain points to platform capabilities; deliver tailored demos highlighting ROI metrics

• Prospecting: Partner with SDRs to refine ICP targeting; supplement inbound leads with 10–15 outbound prospecting activities daily (cold calls, LinkedIn outreach, email sequences).

• Deal Strategy: Navigate multi-stakeholder deals using MEDDIC or BANT frameworks; overcome objections around budget, security, and integration complexity.

• Collaboration: Work with enablement teams to refine pitch decks; share competitive insights with Product/Marketing; transition closed deals to CSMs for onboarding.

Requirements

• Experience: 2–4 years in SaaS closing roles (SDR/BDR promotion preferred); consistent 75%+ quota attainment; familiarity with mid-market sales cycles (30–60 days). 

• Sales Skills: Strong prospecting instincts, negotiation skills, and ability to articulate technical value propositions clearly.

• Tool Mastery: Expertise in HubSpot or Salesforce, Gong; experience using LinkedIn Sales Navigator for strategic prospecting. Up-to-date on AI-based sales tools and strategies. 

• Mindset: hustle, ownership, hunger to learn, coachable attitude, and resilience in ambiguous and changing environments

• Competitive: extremely competitive and self-motivated.

Preferred Qualifications

• 1+ years selling to mid-market or enterprise SaaS

• Familiarity with AI and Enterprise AI landscape

• Experience with PLG motion or product-led sales
  

Compensation & Benefits

OTE: $160,000–$220,000 (60/40 base/commission split)

• Base Salary: $100,000–$130,000

• Variable Commission: $60,000–$90,000 (accelerators up to 150% for 120%+ quota attainment)

• Equity: Above-market equity in unicorn-trajectory startup: 0.01–0.05% stock options

• Ramp: Structured ramp program

• Benefits: Health/dental/vision insurance, 401(k), unlimited PTO
  

Career Development

• Mentorship: Paired with senior AEs for deal reviews and skill-building

• Promotion Path: Clear trajectory to Enterprise AE or Team Lead within 18–24 months

• Training: Workshops on MEDDIC, Gong call analysis, and financial storytelling

Why Village?

• Career-Defining Work: You will build a company that will become a household name and change the way the world does work

• World-class Team: You’ll work alongside the best of the best

• Explosive Category: We’re playing in a huge and extremely fast growing category 

• Technical Moat: OM1 gives us a clear technical moat vs competition

• Strong Traction: We’ve onboarded large enterprise companies (household names) in short period of time

Drop us a line!

We encourage you to drop us a line even if you feel over- or under-qualified. We want to find the best people to help us build Village no matter who they are. We have a lot of different areas of responsibility and we are always happy to brainstorm with you about what would be the best fit. 

Village Labs is an equal opportunity employer. We believe everyone should feel great about being their authentic selves at Village–this is the only way to do our best work! We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe that great employees come from diverse backgrounds.

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