Team Composition Analysis

by wshobson

artdesign

This skill should be used when the user asks to "plan team structure", "determine hiring needs", "design org chart", "calculate compensation", "plan equity allocation", or requests organizational design and headcount planning for a startup.

Skill Details

Repository Files

1 file in this skill directory


name: team-composition-analysis description: This skill should be used when the user asks to "plan team structure", "determine hiring needs", "design org chart", "calculate compensation", "plan equity allocation", or requests organizational design and headcount planning for a startup. version: 1.0.0

Team Composition Analysis

Design optimal team structures, hiring plans, compensation strategies, and equity allocation for early-stage startups from pre-seed through Series A.

Overview

Build the right team at the right time with appropriate compensation and equity. Plan role-by-role hiring aligned with revenue milestones, budget constraints, and market benchmarks.

Team Structure by Stage

Pre-Seed (0-$500K ARR)

Team Size: 2-5 people

Core Roles:

  • Founders (2-3): Product, engineering, business
  • First engineer (if needed)
  • Contract roles: Design, marketing

Focus: Build and validate product-market fit

Seed ($500K-$2M ARR)

Team Size: 5-15 people

Key Hires:

  • Engineering lead + 2-3 engineers
  • First sales/business development
  • Product manager
  • Marketing/growth lead

Focus: Scale product and prove repeatable sales

Series A ($2M-$10M ARR)

Team Size: 15-50 people

Department Build-Out:

  • Engineering (40%): 6-20 people
  • Sales & Marketing (30%): 5-15 people
  • Customer Success (10%): 2-5 people
  • G&A (10%): 2-5 people
  • Product (10%): 2-5 people

Focus: Scale revenue and build repeatable processes

Role-by-Role Planning

Engineering Team

Pre-Seed:

  • Founders write code
  • 0-1 contract developers

Seed:

  • Engineering Lead (first $150K-$180K)
  • 2-3 Full-Stack Engineers ($120K-$150K)
  • 1 Frontend or Backend Specialist ($130K-$160K)

Series A:

  • VP Engineering ($180K-$250K + equity)
  • 2-3 Senior Engineers ($150K-$180K)
  • 3-5 Mid-Level Engineers ($120K-$150K)
  • 1-2 Junior Engineers ($90K-$120K)
  • 1 DevOps/Infrastructure ($140K-$170K)

Sales & Marketing

Pre-Seed:

  • Founders do sales
  • Contract marketing help

Seed:

  • First Sales Hire / Head of Sales ($120K-$150K + commission)
  • Marketing/Growth Lead ($100K-$140K)
  • SDR or BDR (if B2B) ($50K-$70K + commission)

Series A:

  • VP Sales ($150K-$200K + commission + equity)
  • 3-5 Account Executives ($80K-$120K + commission)
  • 2-3 SDRs/BDRs ($50K-$70K + commission)
  • Marketing Manager ($90K-$130K)
  • Content/Demand Gen ($70K-$100K)

Product Team

Pre-Seed:

  • Founder as product lead

Seed:

  • First Product Manager ($120K-$150K)
  • Contract designer

Series A:

  • Head of Product ($150K-$180K)
  • 1-2 Product Managers ($120K-$150K)
  • Product Designer ($100K-$140K)
  • UX Researcher (optional) ($90K-$130K)

Customer Success

Pre-Seed:

  • Founders handle support

Seed:

  • First CS hire (optional) ($60K-$90K)

Series A:

  • CS Manager ($100K-$130K)
  • 2-4 CS Representatives ($60K-$90K)
  • Support Engineer (technical) ($80K-$120K)

G&A (General & Administrative)

Pre-Seed:

  • Contractors (accounting, legal)

Seed:

  • Operations/Office Manager ($70K-$100K)
  • Contract CFO

Series A:

  • CFO or Finance Lead ($150K-$200K)
  • Recruiter ($80K-$120K)
  • Office Manager / EA ($60K-$90K)

Compensation Strategy

Base Salary Benchmarks (US, 2024)

Engineering:

  • Junior: $90K-$120K
  • Mid-Level: $120K-$150K
  • Senior: $150K-$180K
  • Staff/Principal: $180K-$220K
  • Engineering Manager: $160K-$200K
  • VP Engineering: $180K-$250K

Sales:

  • SDR/BDR: $50K-$70K base + $50K-$70K commission
  • Account Executive: $80K-$120K base + $80K-$120K commission
  • Sales Manager: $120K-$160K base + $80K-$120K commission
  • VP Sales: $150K-$200K base + $150K-$200K commission

Product:

  • Product Manager: $120K-$150K
  • Senior PM: $150K-$180K
  • Head of Product: $150K-$180K
  • VP Product: $180K-$220K

Marketing:

  • Marketing Manager: $90K-$130K
  • Content/Demand Gen: $70K-$100K
  • Head of Marketing: $130K-$170K
  • VP Marketing: $150K-$200K

Customer Success:

  • CS Representative: $60K-$90K
  • CS Manager: $100K-$130K
  • VP Customer Success: $140K-$180K

Total Compensation Formula

Total Comp = Base Salary × 1.30 (benefits & taxes) + Equity Value

Fully-Loaded Cost:

  • Base salary
  • Payroll taxes (7.65% FICA)
  • Benefits (health insurance, 401k): $10K-$15K per employee
  • Other (workspace, equipment, software): $5K-$10K per employee

Rule of Thumb: Multiply base salary by 1.3-1.4 for fully-loaded cost

Geographic Adjustments

San Francisco / New York: +20-30% above benchmarks Seattle / Boston / Los Angeles: +10-20% Austin / Denver / Chicago: +0-10% Remote / Other US Cities: -10-20% International: Varies widely by country

Equity Allocation

Equity by Role and Stage

Founders:

  • First founder: 40-60%
  • Second founder: 20-40%
  • Third founder: 10-20%
  • Vesting: 4 years with 1-year cliff

Early Employees (Pre-Seed):

  • First engineer: 0.5-2.0%
  • First 5 employees: 0.25-1.0% each

Seed Stage Hires:

  • VP/Head level: 0.5-1.5%
  • Senior IC: 0.1-0.5%
  • Mid-level: 0.05-0.25%
  • Junior: 0.01-0.1%

Series A Hires:

  • C-level (CTO, CFO): 1.0-3.0%
  • VP level: 0.3-1.0%
  • Director level: 0.1-0.5%
  • Senior IC: 0.05-0.2%
  • Mid-level: 0.01-0.1%
  • Junior: 0.005-0.05%

Equity Pool Sizing

Option Pool by Round:

  • Pre-Seed: 10-15% reserved
  • Seed: 10-15% top-up
  • Series A: 10-15% top-up
  • Series B+: 5-10% per round

Pre-Funding Dilution: Investors often require option pool creation before investment, diluting founders.

Example:

Pre-money: $10M
Investors want 15% option pool post-money

Calculation:
Post-money: $15M ($10M + $5M investment)
Option pool: $2.25M (15% × $15M)
Founders diluted by pool creation before new money

Organizational Design

Reporting Structure

Pre-Seed:

Founders (flat structure)
├── Contractors
└── First hires (report to founders)

Seed:

CEO
├── Engineering Lead (2-4 engineers)
├── Sales/Growth Lead (1-2 reps)
├── Product Manager
└── Operations

Series A:

CEO
├── CTO / VP Engineering (6-20 people)
│   ├── Engineering Manager(s)
│   └── Individual Contributors
├── VP Sales (5-15 people)
│   ├── Sales Manager
│   ├── Account Executives
│   └── SDRs
├── Head of Product (2-5 people)
│   ├── Product Managers
│   └── Designers
├── Head of Customer Success (2-5 people)
└── CFO / Finance Lead (2-5 people)
    ├── Recruiter
    └── Operations

Span of Control

Manager Ratios:

  • First-line managers: 4-8 direct reports
  • Directors: 3-5 direct reports (managers)
  • VPs: 3-5 direct reports (directors)
  • CEO: 5-8 direct reports (executive team)

Full-Time vs. Contract

Use Full-Time for:

  • Core product development
  • Sales (revenue-generating roles)
  • Mission-critical operations
  • Institutional knowledge roles

Use Contractors for:

  • Specialized short-term needs (legal, accounting)
  • Variable workload (design, marketing campaigns)
  • Skills outside core competency
  • Testing role before FTE hire
  • Geographic expansion before permanent presence

Cost Comparison

Full-Time:

  • Lower hourly cost
  • Benefits and overhead
  • Long-term commitment
  • Cultural fit matters

Contract:

  • Higher hourly rate ($75-$200/hour vs. $40-$100/hour FTE equivalent)
  • No benefits or overhead
  • Flexible engagement
  • Easier to scale up/down

Hiring Velocity

Realistic Timeline

Role Opening to Hire:

  • Junior: 6-8 weeks
  • Mid-Level: 8-12 weeks
  • Senior: 12-16 weeks
  • Executive: 16-24 weeks

Time to Productivity:

  • Junior: 4-6 months
  • Mid-Level: 2-4 months
  • Senior: 1-3 months
  • Executive: 3-6 months

Planning Buffer

Always add 2-3 months buffer to hiring plans.

Example: If need engineer by July 1:

  • Start recruiting: April 1 (12 weeks)
  • Productivity: September 1 (2 months ramp)

Budget Planning

Compensation as % of Revenue

Early Stage (Seed):

  • Total comp: 120-150% of revenue (burning cash to grow)
  • Engineering: 50-60%
  • Sales: 30-40%
  • Other: 20-30%

Growth Stage (Series A):

  • Total comp: 70-100% of revenue
  • Engineering: 35-45%
  • Sales: 25-35%
  • Other: 20-30%

Headcount Budget Formula

Total Comp Budget = Σ (Role Count × Fully-Loaded Cost × % of Year)

Example:
3 Engineers × $202K × 100% = $606K
2 AEs × $230K × 75% (mid-year start) = $345K
1 PM × $162K × 100% = $162K
Total: $1.1M

Additional Resources

Reference Files

  • references/compensation-benchmarks.md - Detailed salary data by role, level, and location
  • references/equity-calculator.md - Equity sizing formulas and dilution scenarios

Example Files

  • examples/seed-stage-hiring-plan.md - Complete hiring plan for seed-stage SaaS company
  • examples/org-chart-evolution.md - Organizational design from 5 to 50 people

Quick Start

To plan team composition:

  1. Identify stage - Pre-seed, seed, or Series A
  2. Define roles - What functions are needed now
  3. Prioritize hires - Critical path for business goals
  4. Set compensation - Base salary + equity by level
  5. Plan timeline - Account for recruiting and ramp time
  6. Calculate budget - Fully-loaded cost × headcount
  7. Design org chart - Reporting structure and span of control
  8. Allocate equity - Fair allocation that preserves pool

For detailed compensation benchmarks and hiring plan templates, see references/ and examples/.

Related Skills

Startup Financial Modeling

This skill should be used when the user asks to "create financial projections", "build a financial model", "forecast revenue", "calculate burn rate", "estimate runway", "model cash flow", or requests 3-5 year financial planning for a startup.

art

Kpi Dashboard Design

Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data visualization layouts.

designdata

Startup Metrics Framework

This skill should be used when the user asks about "key startup metrics", "SaaS metrics", "CAC and LTV", "unit economics", "burn multiple", "rule of 40", "marketplace metrics", or requests guidance on tracking and optimizing business performance metrics.

art

Market Sizing Analysis

This skill should be used when the user asks to "calculate TAM", "determine SAM", "estimate SOM", "size the market", "calculate market opportunity", "what's the total addressable market", or requests market sizing analysis for a startup or business opportunity.

art

Sql Optimization Patterns

Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.

designdata

Anndata

This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.

arttooldata

Geopandas

Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between dat

artdatacli

Market Research Reports

Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, deep integration with research-lookup for data gathering, and multi-framework strategic analysis including Porter's Five Forces, PESTLE, SWOT, TAM/SAM/SOM, and BCG Matrix.

artdata

Plotly

Interactive scientific and statistical data visualization library for Python. Use when creating charts, plots, or visualizations including scatter plots, line charts, bar charts, heatmaps, 3D plots, geographic maps, statistical distributions, financial charts, and dashboards. Supports both quick visualizations (Plotly Express) and fine-grained customization (graph objects). Outputs interactive HTML or static images (PNG, PDF, SVG).

artdata

Senior Data Scientist

World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.

designtestingdata

Skill Information

Category:Creative
Version:1.0.0
Last Updated:1/19/2026