Solutions Consultant - NYC
TechWolf
new york, NY · Posted September 18, 2026
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Where new york, NY ranks
Where new york, NY placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for operations jobs1,429 openings · of 100
- #1Best cities for sales jobs2,774 openings · of 78
- #1Best cities for finance jobs1,932 openings · of 78
- #1Best cities for data and analytics jobs1,713 openings · of 58
- #1Best cities for HR jobs994 openings · of 30
- #1Best cities for marketing jobs1,754 openings · of 31
Rankings about sales jobs
- Best cities for sales jobs #1 New York (2,774 openings)
- Best cities for sales pay after cost of living #1 Santa Clara ($175k)
- Most requested AI skills in sales jobs #1 AI tools in daily work (4.1%)
- AI tools named most often in sales jobs #1 Gong (0.93%)
- Employers with the most sales jobs #1 Charter Communications (389 roles)
Pay compared with the market
This listing does not state pay. Across 38 open solutions consultant listings that state pay, the middle half runs $135,000 to $174,000 and the median is $140,000.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among sales engineers, AI is already used for a large share of the tasks. Measured exposure for sales engineers: 32% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
About the job
TechWolf is the AI and data layer for workforce transformation. Our software gives enterprises accurate, AI-inferred skill data, and they use it to run strategic workforce planning, internal mobility, and skills-based hiring and learning.
You'd join a Solution Consulting team of four in the US, backed by a wider SC function in Europe. There's a working sales motion, live customers, and people around you who already know the product cold.
Most HR tech pre-sales are demo-driven. This isn't. TechWolf is API-first, and our value depends on how well our data lands inside a customer's existing HR, data, and agent stacks. You'll map a prospect's architecture, design the integration, define the scope, and then explain to a CHRO why any of it matters. You'll work across Sales, Product, Engineering, and Professional Services.