VSaaS Players
Who does the work?
The Core Insight
Hire from industry. Customer-facing roles need domain scars.
Generic SaaS experience isn't enough. Your sellers, CS leaders, and solutions engineers need to have LIVED the pain your customers face.
The Hybrid Team Model
Pair SaaS expertise with industry expertise:
| Role Type | SaaS Skills | Industry Skills | Hire For |
|---|---|---|---|
| Industry Engineer | Basic | Deep | Credibility, discovery |
| SaaS Seller | Deep | Basic | Process, closing |
| Solutions | Medium | Medium | Bridge, implementation |
| CS Leader | Deep | Deep | Retention, expansion |
The pairing: Industry Engineer + SaaS Seller on every significant deal.
Role Profiles by Stage
Founding Team (0-10 customers)
| Role | Who | Focus |
|---|---|---|
| Founder/CEO | Domain expert | Sales, product direction |
| Technical Co-founder | Builder | MVP, iterate fast |
| First hire | Industry operator | Customer success, feedback |
Anti-pattern: Hiring SaaS generalists before PMF.
Growth Team (10-100 customers)
| Function | Hire | Why |
|---|---|---|
| Sales | Industry AE | Credibility in room |
| Solutions | Technical + domain | Implementation success |
| CS | Industry operator | Retention, expansion |
| Product | SaaS PM + domain advisor | Balance velocity with depth |
Scale Team (100+ customers)
| Function | Structure | Notes |
|---|---|---|
| Sales | Industry verticals | Sub-segment by size or geo |
| CS | Pooled + named | Named for enterprise |
| Solutions | Pre-sales + post-sales | Specialize |
| Product | Platform + vertical pods | Shared infra, domain teams |
Don't Hire "SaaS" CS Leaders
From the Linear playbook—vertical CS is different:
| SaaS CS Leader | Vertical CS Leader |
|---|---|
| Optimizes for scale | Optimizes for depth |
| Playbook-driven | Relationship-driven |
| Metrics first | Outcomes first |
| Industry agnostic | Industry native |
The risk: SaaS CS leaders bring horizontal playbooks that don't fit vertical relationships.
The fix: Hire operators who became CS, not CS who learned operations.
AI + Human Split
Where AI handles work vs. where humans are essential:
| Function | AI Role | Human Role | AI % Today |
|---|---|---|---|
| Lead gen | Identification, enrichment | Qualification, outreach | 60% |
| Sales | Prep, follow-up, admin | Discovery, negotiation, close | 30% |
| Solutions | Documentation, config | Architecture, trust-building | 40% |
| CS | Health monitoring, alerts | Relationship, expansion | 35% |
| Support | L1 resolution, triage | Complex issues, escalation | 70% |
The trend: AI percentage increasing 10-20% per year in each function.
See Work Charts for the full framework.
Hiring Profile: Industry Engineer
The role that makes or breaks vertical sales:
Background:
- 5-10 years operating in the vertical
- Managed the workflow you're replacing
- Known and respected in the industry
- NOT a career salesperson
Responsibilities:
- Lead discovery conversations
- Translate product to industry language
- Build trust with operators
- Inform product roadmap
Compensation:
- Lower base than traditional AE
- Higher variable tied to outcomes
- Equity for key hires
Team Audit
Score your current team composition:
| Question | Score 1-5 |
|---|---|
| Do customer-facing roles have domain scars? | |
| Can you speak customer language, not SaaS language? | |
| Is your CS focused on outcomes, not metrics? | |
| Do you hire operators who learned sales, not salespeople who learned operations? | |
| Are you pairing industry expertise with SaaS process? |
Threshold: If any score is below 3, you have a hiring problem.
Context
- VSaaS Principles — Strategic truths (Key 5: Hire From Industry)
- VSaaS Protocols — Implementation playbook
- Players — Human and AI agents
- Work — Human/AI activity splits
Questions
Which vSaaS player type — bootstrapped specialist, venture-backed category creator, or horizontal player going vertical — is most likely to capture the majority of value in a consolidating vertical?
- At what market share threshold does a vSaaS leader become attractive enough for acquisition by a horizontal SaaS player or PE firm?
- How does the introduction of AI-native competitors change the competitive dynamics for established vSaaS players with large customer bases but legacy codebases?
- Which vertical SaaS player (from the landscape) has the most durable moat against AI disruption — and what makes that moat defensible?