Solutions Engineer

Job Description

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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.

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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.

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Please note that we're looking for someone in San Francisco or New York only*

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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.

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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.