Founding Solutions Engineer

present of AI; New York (NY); On-site; USD 130,000 - 190,000; Full time

Job summary

present of AI in New York City is seeking a Senior Solutions Engineer to join the pre-sales team alongside account executives. You will influence large enterprise deals and help shape how we sell, combining technical depth with strategic storytelling.

A successful candidate has around five years of solutions engineering in enterprise software, a track record of winning technical decisions on big deals, and comfort with ambiguity to build processes from scratch.

Qualifications

• Around five years of solutions engineering in enterprise software.
• Proven track record of winning technical decisions on large deals.
• Ability to navigate ambiguity and build a process from scratch.

Responsibilities

• Collaborate with account executives to win large enterprise deals.
• Perform technical demos and proofs of value for customers.
• Shape sales approaches for complex purchases.

Skills

Solutions engineering

Enterprise software

Job description

Customer & Solutions · New York City · FullTime · Senior level

This is a pre-sales technical role at a young company, working beside account executives to win large enterprise deals and shape how the team sells. A strong candidate has around five years of solutions engineering in enterprise software, a record of winning the technical decision on big deals, and a history of beating targets. Comfort with ambiguity and building a process from scratch matters as much as technical depth.

How it fits the AI era

AI agents now handle work that older automation tools could not, so the pitch shifts from scripting rules to showing that a recorded process can run reliably at scale. Much of the technical demo and proof of value can be sped up with AI. Building trust with enterprise buyers, reading what a business team really needs, and guiding a complex purchase stay human work.

How it builds AI experience

The role offers close, hands‑on exposure to how AI agents are sold into large companies, including how teams judge reliability and value from a recorded screen workflow. Someone can build ahead of time by trying AI automation tools, recording a real process, and learning where agents succeed or struggle. Talking with finance, operations, and IT teams about their manual work is also useful practice.

Worth showing

• Winning technical decisions on large deals
• Partnering with account executives
• Live demos of automation or AI
• Proof of value with enterprise buyers
• Building sales playbooks from scratch

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

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