Job description
Solutions Engineer | AI Startup
📍New York City – fully onsite
💰$180,000 - $250,000 OTE + Equity
Our client is a fast-growing AI startup disrupting a $150 billion industry. Backed by significant funding at a unicorn valuation, they're bringing a level of predictive intelligence to enterprise clients that simply didn't exist before. The team is small, the bar is high, and the opportunity is significant.
The role
As a Solutions Engineer, you'll own the technical strategy across complex enterprise sales cycles, working alongside Account Executives from first discovery call through to close. You'll design simulation configurations, deliver high-stakes live demos, and present to C-suite stakeholders who need to be convinced, not just informed.
This is not a support function. You'll be shaping how prospects understand and experience the product, building the frameworks that turn ambiguous challenges into clear, compelling solutions and ultimately driving revenue.
What you'll be doing
Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs
📍New York City – fully onsite
💰$180,000 - $250,000 OTE + Equity
Our client is a fast-growing AI startup disrupting a $150 billion industry. Backed by significant funding at a unicorn valuation, they're bringing a level of predictive intelligence to enterprise clients that simply didn't exist before. The team is small, the bar is high, and the opportunity is significant.
The role
As a Solutions Engineer, you'll own the technical strategy across complex enterprise sales cycles, working alongside Account Executives from first discovery call through to close. You'll design simulation configurations, deliver high-stakes live demos, and present to C-suite stakeholders who need to be convinced, not just informed.
This is not a support function. You'll be shaping how prospects understand and experience the product, building the frameworks that turn ambiguous challenges into clear, compelling solutions and ultimately driving revenue.
What you'll be doing
- Owning technical strategy end-to-end across complex enterprise deals
- Leading technical discovery to surface use cases, data realities, and executive success criteria
- Designing and delivering live demos and proof-of-concept engagements
- Translating customer problems into structured solution frameworks
- Partnering with Sales to improve POC win rates, deal velocity, and executive confidence
- Contributing reusable assets and discovery insights that sharpen team-wide effectiveness
- Providing structured product feedback that informs roadmap decisions
- 5+ years in a customer-facing technical role - Solutions Engineering, Sales Engineering, Consulting, or Implementation
- Deep hands-on experience with AI systems, data platforms, LLM-based workflows, or quantitative/qualitative research platforms
- Demonstrable executive presence - comfortable presenting to and earning trust from C-suite stakeholders
- Strong at structuring ambiguous problems into clear, defensible solutions
- University Degree - ideally in a technical or quantitative discipline
- Startup experience, ideally in a high-growth environment
- Background selling into or working with Consumer Insights, CMO office, Digital Transformation, or Strategy functions is a strong plus
- Based in or willing to relocate to New York City - this role is fully onsite, 5 days a week
- $180,000–$250,000 OTE (70:30 split) + meaningful equity
- Uncapped upside on team performance
- Join a category-defining company before it becomes a household name
- Work directly with sharp, ambitious founders at the frontier of AI
- Relocation support available (only if based in the US)
Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs
