Salary Data Methodology

Data Sources

PreSales Pulse salary data comes from two primary sources that we combine and cross-reference for accuracy.

Job Posting Analysis

We analyze 4,250+ Solutions Engineer job postings across major job boards (LinkedIn, Indeed, Glassdoor, company career pages). We track postings with disclosed salary ranges (approximately 60% of SE postings), normalize titles across four common variants (Solutions Engineer, Sales Engineer, Solutions Consultant, PreSales Engineer), and segment by seniority level, geographic location, and company stage.

Compensation Survey

We collect voluntary compensation data from 327 verified SE professionals across 15 US markets. Survey respondents self-report base salary, variable compensation, equity, and benefits. We validate responses against job posting data to identify and remove outliers.

Title Normalization

The pre-sales technical role goes by multiple titles across the industry. We normalize four common title variants into a single dataset: Solutions Engineer, Sales Engineer, Solutions Consultant, and PreSales Engineer. Our SE vs Sales Engineer comparison shows these titles are functionally interchangeable with no meaningful compensation difference.

Segmentation

We segment salary data along three primary dimensions:

• Seniority: Junior, Mid-Level, Senior, Principal/Staff, Manager, Director (based on title keywords and job description analysis)
• Location: 15 US cities plus Remote (based on job posting location and survey respondent location)
• Company Stage: Seed, Series A, Series B, Growth, Enterprise (based on company funding data from Crunchbase and PitchBook)

Sample Demographics

Our 327 survey respondents break down as follows: 42 Junior SEs, 86 Mid-Level SEs, 94 Senior SEs, 38 Principal/Staff SEs, 45 SE Managers, and 22 Directors. Geographic distribution skews toward major tech hubs (SF, NYC, Seattle account for 46% of respondents), with remote workers making up 22% of the sample. The median respondent age is 31, with 5 years of SE experience.

Limitations and Caveats

We're transparent about what our data can and cannot tell you. Job posting data only captures disclosed salary ranges. Survey data is self-reported and unverifiable. Our sample is US-focused and skews toward major tech hubs. Individual compensation varies based on factors we can't capture: negotiation skill, specific product complexity, team dynamics, and company financial health.

Treat our data as a well-informed starting point for compensation conversations, not as a definitive answer. For personalized estimates, use our salary calculator and combine the results with your own market research.

Frequently Asked Questions

Where does PreSales Pulse salary data come from?

We combine two primary sources: public job posting analysis (4,250+ postings across major job boards) and voluntary compensation survey responses from 327 verified SE professionals. Job posting data provides salary ranges disclosed by employers. Survey data provides actual reported compensation from working SEs.

How often is the data updated?

Job posting data is refreshed weekly as we process new listings. Survey data is updated quarterly as new responses are collected and validated. The combination of frequent posting data and periodic survey data provides a current and reliable picture of the SE compensation market.

What are the limitations of this data?

Job posting salary data only captures ranges that employers choose to disclose (approximately 60% of SE postings include salary ranges). Survey data relies on self-reported figures that we cannot independently verify. Both sources skew toward US-based roles. Our sample of 327 respondents is meaningful but not exhaustive. We are transparent about these limitations and encourage users to treat our data as one input into compensation decisions, not the sole source.