Pivotal Partners are exclusively partnered with one of the fastest-growing AI companies in the space. Fresh off a $90M Series B, (Sequoia Capital backed) the company is scaling their go-to-market team to drive adoption of its agentic AI code generation platform. With enterprise demand accelerating, we are searching for a Senior Solutions Engineer (Pre-Sales) in San Francisco or New York to play a pivotal role in helping customers deploy and succeed with next-generation AI. * Please note that we’re looking for someone in San Francisco or New York only** Main responsibilities: Customer Journey Management — Drive end-to-end customer engagement from initial discovery through pilot and conversion. Lead onboarding, including technical workshops and demos for developers, ensuring a seamless transition from prospect to active user. Pre-Sales Guidance & Solutioning — Understand each customer’s business and technical needs to deliver tailored product recommendations, demos, and proof-of-concepts that highlight the value of the Factory.ai platform. Technical Enablement & Support — Serve as the customer’s technical advisor during the evaluation phase, addressing questions and partnering with Factory.ai engineers to resolve complex technical concerns that could impact deal progression. Data-Driven Insights — Leverage customer feedback and engagement metrics to inform pre-sales strategy, demonstrating ROI and shaping recommendations that increase likelihood of adoption. Engineering Liaison — Act as the bridge between prospects and engineering, translating technical requirements into actionable insights, and influencing product enhancements that drive customer wins. Qualifications: 2–3 years of experience in a technical role (Solutions Engineer, Customer Success Engineer, Solutions Architect or ML Engineer). Bachelor’s degree in Computer Science, Engineering, or related field. Strong ability to quickly learn and apply new technologies and software development practices. Proficiency across the modern tech stack; specifically focused around Infrastructure/Cloud: Deployment and scaling (AWS, Azure, GCP, containers, Kubernetes) and DevOps tooling: build, test, and deployment pipelines (CI/CD, Docker, Terraform). Proven problem-solver who can diagnose and resolve complex technical issues in real-world customer environments. Strong analytical skills with the ability to transform data into actionable strategies. Excellent communication and interpersonal skills, with the ability to engage developers, engineers, and executives alike. Startup mindset: hungry, proactive, adaptable, and motivated to thrive in a fast-moving environment.

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