sales
Sales Engineer: modeled AI cost and task mix
Partners with AEs to win technical buyers. Owns deep product demos, POCs, integration scoping, and answers the hard architecture questions.
This page uses a representative geography and experience level. Build your own Wagecard to use your actual task mix, hours, location, experience, and optional salary.
- Operational AI cost
- Market pay (p50)
- Four task classes
- Qualitative confidence
- Documented methodology
Operational AI cost
Modeled AI running cost includes tokens, human review, retries, error cost, integration, and orchestration.
Market pay (US Tier 2, mid-career)
Market pay percentiles: p25 $112,299, p75 $159,654, p90 $189,420.
Economic substitution exposure
Lower scores mean a person is more reliable or cost-effective for more of the task time. Augmentation territory.
Task mix
Four task classes
Hours-weighted share of this role's tasks
Task details
How each task was classified
For each task, see AI capability, reliability, error cost, and where a person remains more reliable or cost-effective.
| Task | Capability | Reliability | Error cost | Human-advantage |
|---|---|---|---|---|
| Technical demos | 25 | 30 | 3/5 | 75/100 |
| Run POCs | 45 | 40 | 4/5 | 65/100 |
| Integration scoping | 55 | 50 | 3/5 | 65/100 |
| Internal product feedback | 40 | 45 | 3/5 | 65/100 |
| Build demo environments | 70 | 60 | 2/5 | 40/100 |
| Answer security questionnaires | 85 | 75 | 4/5 | 30/100 |
Representative US Tier 2, mid-career example using capability matrix v1 and model v1-mvp. See the documented methodology at /methodology.
Build a Wagecard for your Sales Engineer task mix
Use your actual tasks, hours, location, experience, and optional salary. Your Wagecard shows modeled AI running cost, market pay, the four task classes, and qualitative confidence on the core estimates.