Solutions Engineer (AI)

Location: SF Bay Area; primarily in-person in San Francisco

Salary: $150K–$300K

Company

hirify.global builds adaptive interfaces that continuously evolve, improve, and personalize digital experiences.

What you will do

• Lead technical discovery with prospective and existing customers, including analysis of goals, technical environments, data flows, and integration requirements.
• Design customer solutions, run tailored product demonstrations, and build proofs of concept in real customer environments.
• Answer technical questions and partner with sales to communicate product differentiation and business impact.
• Guide customers through technical evaluations, onboarding, and implementation while troubleshooting integration and product issues.
• Collaborate with product and engineering to resolve blockers and translate customer feedback into roadmap input.
• Create technical sales collateral, documentation, enablement materials, and scalable implementation processes.

Requirements

• Experience in solutions engineering, sales engineering, technical consulting, or a similar customer-facing technical role.
• Strong technical discovery, solution design, proof-of-concept, troubleshooting, communication, and presentation skills.
• Experience with SaaS products and AI systems.
• Ability to explain technical concepts to technical and non-technical stakeholders and guide complex implementations.
• Comfort collaborating with sales, product, engineering, and customer success teams in a fast-moving startup environment.
• Comfort working on-site in the San Francisco Bay Area and engaging directly with customers.

Nice to have

• Experience with analytics, experimentation, marketing technology, or data products.
• Technical degree or equivalent practical experience.

Culture & Benefits

• Flexible unlimited paid time off.
• Medical, dental, and vision benefits for employees and families.
• Life insurance and disability benefits.
• 401(k) plan with company match.
• Meals covered in the office and gym membership.
• Small, in-person, talent-dense team backed by prominent investors and AI researchers.