Solutions Engineer Lead (Post-Sales)

Location: New York City, San Francisco or Toronto
Company Stage of Funding: Series E AI Software Company
Office Type: Onsite (4–5 Days per Week)
Salary: $180,000–$215,000 + Equity

Company Description

We're representing a rapidly scaling AI software company transforming critical industries through intelligent workflow automation. Their platform leverages AI agents to streamline operations, improve customer experiences, and eliminate manual work across complex service-driven environments.

Backed by top-tier investors and having recently raised a significant Series E financing round, the company is entering its next phase of growth and expanding its customer-facing leadership team. They are seeking a Solutions Engineering leader who can drive customer success, influence product strategy, and scale a high-performing post-sales organization.

What You Will Do

• Lead, mentor, and develop a team of Solutions Engineers responsible for customer implementations, adoption, and ongoing success.
• Establish best practices, performance standards, and scalable processes across the Solutions Engineering function.
• Serve as a strategic bridge between customers, Product, Engineering, Operations, Support, and Sales teams.
• Drive successful launches of new products and features by ensuring operational readiness across internal teams and customers.
• Partner closely with Product and Engineering leadership to advocate for customer needs and influence roadmap priorities.
• Build and manage executive-level reporting around product adoption, customer health, retention, and expansion opportunities.
• Create and maintain scalable customer feedback loops that translate user insights into actionable product improvements.
• Ensure Solutions Engineering acts as a strategic differentiator throughout the customer lifecycle, driving retention and revenue growth.
• Develop operational frameworks that improve implementation efficiency, customer outcomes, and internal collaboration.
• Represent customer priorities during strategic planning and cross-functional decision-making.

Ideal Background

• 5+ years of experience in Solutions Engineering, Technical Account Management, Product Management, Customer Success, or a related post-sales function.
• 2+ years of leadership experience managing and developing customer-facing technical teams.
• Strong experience partnering with Product and Engineering organizations to influence product direction and customer outcomes.
• Proven ability to lead complex cross-functional initiatives and drive organizational alignment.
• Advanced SQL skills and experience leveraging data to inform decisions and measure business impact.
• Strong executive communication and stakeholder management abilities.
• Experience presenting technical concepts to both technical and non-technical audiences.
• Customer-centric mindset with the ability to balance strategic thinking and hands-on execution.
• Demonstrated success improving customer adoption, retention, and expansion metrics.

Preferred

• Experience working in high-growth SaaS, AI, enterprise software, proptech, healthcare technology, or workflow automation companies.
• Familiarity with business intelligence and analytics platforms such as Looker, Tableau, or Power BI.
• Background in implementation, onboarding, or enterprise customer operations.
• Experience building Voice of Customer programs and product feedback processes.
• Exposure to product management principles and roadmap planning.
• Experience scaling post-sales teams within rapidly growing organizations.

Compensation and Benefits

• Base salary: $180,000–$200,000.
• Competitive equity package.
• 100% employer-covered medical, dental, and vision insurance.
• Fully paid parental leave.
• 401(k) program.
• Commuter benefits.
• Wellness, fitness, and home services stipend.
• Unlimited PTO and company holidays.
• Relocation assistance available.
• Fully stocked office with meals provided.
• Opportunity to join a late-stage, high-growth AI company with significant market traction and long-term growth potential.