Decagon vs Labelbox

Decagon vs Labelbox: Culture Compared

Decagon (3.9 Glassdoor) vs Labelbox (3.8 Glassdoor) — side-by-side on culture values, work-life balance, compensation, and open roles.

Decagon

Decagon

Small (~210)
Labelbox

Labelbox

Medium (~350)
Decagon
Best for: Builders who want to ship AI customer support agents directly to F500 customers with technical founders deeply involved
Labelbox
Best for: ML infrastructure engineers building data labeling and training platforms for frontier AI labs and enterprises
DecagonLabelbox
3.9
3.8
Overall
3.7
3.6
Work-Life Balance
3.8
3.8
Culture & Values
3.2
3.6
Comp & Benefits
3.7
3.5
Senior Mgmt
3.7
3.6
Career Opps
πŸ‘ 75% Recommend πŸ‘€ 85% CEO Approval (Jesse Zhang)
πŸ‘ 72% Recommend πŸ‘€ 78% CEO Approval (Manu Sharma)
Decagon only
🎯 Direct Product Impact
Labelbox only
🌈 Diverse & Inclusive
Shared
βš™οΈ Engineering-DrivenπŸš€ Ship Fast & IterateπŸ’Ž Strong Comp & Equity

Decagon

  • βœ“Strong engineering-driven culture with technical founders still deeply involved
  • βœ“Ship meaningful AI features to enterprise customers every week
  • βœ—Intense workload and high expectations β€” not a typical 40-hour week
  • βœ—SF-centric; most roles expect in-office presence

Labelbox

  • βœ“Competitive compensation and equity
  • βœ“Working with top AI labs as customers
  • βœ—Rapid growth creates organizational churn
  • βœ—Some teams move faster than others
Decagon
Choose Decagon if you want intense builder energy at a $4.5B Series D AI agents startup with real enterprise revenue β€” but expect SF office-centric culture and cash comp that trails top AI labs.
Labelbox
Choose Labelbox if you want to work on the data side of AI β€” labeling, evaluation, and training infrastructure used by frontier AI teams β€” with moderate SF-based intensity.

Decagon β€” 95 jobs

πŸ’Ό Sales / GTM
32
πŸ’» Engineering
25
πŸ“‹ Product
7
🧠 ML / AI
6
βš™οΈ Operations
3
βš–οΈ Legal
2
πŸ“£ Marketing
2
πŸ“Š Data
1
🎨 Design
1
πŸ‘€ HR / People
1

Labelbox β€” 9 jobs

πŸ’» Engineering
3
🧠 ML / AI
3
πŸ“Š Data
1

Decagon scores 3.9/5.0 on Glassdoor with a 3.7 work-life balance rating. Labelbox scores 3.8/5.0 overall with a 3.6 WLB. That’s a 0.1-point gap on overall satisfaction.

Both companies share these culture values: Engineering-Driven, Ship Fast & Iterate, Strong Comp & Equity. Decagon also emphasizes Direct Product Impact. Labelbox also emphasizes Diverse & Inclusive.

On the hiring front, Decagon has 95 open roles and Labelbox has 9 open roles.