Solutions Engineer

Solutions Engineer (AI Applications)San Francisco, CA (Hybrid)Salary: Up to $250,000We’re partnering with a well-funded, rapidly scaling AI company redefining how enterprise brands leverage AI to drive measurable business outcomes.This is not another point-solution SaaS company. The team is building AI-native products that sit directly within critical customer workflows, helping enterprise organizations automate high-cost operational processes, improve customer experiences, and rapidly experiment at scale.Backed by top-tier investors with strong revenue traction and significant enterprise demand, the company is entering its next phase of growth and looking for highly technical, product-minded engineers who thrive in fast-moving environments.The OpportunityThis role is ideal for builders who love ambiguity, customer interaction, rapid prototyping, and turning ideas into production-ready solutions quickly.You’ll work directly with enterprise customers, product leaders, and engineering teams to identify high-impact opportunities and rapidly build AI-driven workflows, proofs of concept, and applications that solve real business problems.The environment is highly AI-native — engineers are expected to leverage modern AI tooling extensively throughout the development lifecycle. Speed, adaptability, product intuition, and execution matter more than rigid adherence to specific technologies.If you enjoy shipping fast, owning outcomes, and operating close to customers, this is the type of role where you can have outsized impact.What You’ll DoPartner directly with enterprise customers to deeply understand workflows, pain points, and business objectivesRapidly prototype and launch AI-powered applications and workflow automationsBuild MVPs and proof-of-concepts in days, not monthsCollaborate cross-functionally with product, engineering, and customer stakeholdersTranslate customer learnings into scalable platform capabilities and reusable product featuresHelp shape how AI-native software products are built and deployed within enterprise environmentsContribute to a highly iterative, experimentation-driven engineering cultureWhat They’re Looking ForStrong product sense and customer empathyAbility to operate independently with high ownership and urgencyComfortable navigating ambiguity and solving undefined problemsAI-native development mindset with strong leverage of tools like Claude Code, Codex, Cursor, or similarExperience rapidly building and shipping customer-facing applications or internal toolingExcellent communication and collaboration skillsCuriosity, adaptability, and a bias toward actionIdeal BackgroundsForward Deployed EngineeringGrowth EngineeringSolutions Engineering / Sales EngineeringEarly-stage startup engineeringFounders or former foundersEngineers from B2B AI companiesCandidates who have already embraced AI-driven development workflowsPreferred Experience~3–7 years of experience, though exceptional candidates with less experience will absolutely be consideredDemonstrated track record of building impactful products quicklyExperience working closely with customers or external stakeholdersStrong understanding of modern AI/LLM application developmentWhy JoinOpportunity to join an elite, high-caliber engineering team earlyStrong product-market fit with accelerating enterprise demandSignificant ownership and visibilityBacked by substantial funding with multi-year runwayHybrid environment with a growing San Francisco engineering presenceChance to help define the future of AI-native enterprise softwareIf you’re excited by the idea of building AI-powered products at high velocity and working directly with customers to solve meaningful business problems, we’d love to connect.