Solutions Engineer - Enterprise

🕒 July 4, 2025

🏢🏡 San Francisco – Hybrid

💵 $156k - $195k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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Scale AI

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

🤖 Artificial Intelligence

🤝 B2B

🏛️ Government

Artificial Intelligence • B2B • Government

Scale AI is a company focused on improving the effectiveness of AI models through high-quality data management and evaluation. They partner with various enterprises, government agencies, and generative AI companies to provide data solutions, including data labeling and curation, RLHF, and model evaluation. Scale AI is dedicated to supporting AI development with their Scale Data Engine and GenAI Platform, which facilitate the integration of enterprise data to enhance strategic differentiation. They also conduct research initiatives through their SEAL (Safety, Evaluations, and Alignment Lab) to advance AI model capabilities.

📋 Description

• Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer's requirements. • Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises. • Be accountable for securing the “technical win” by unblocking technical challenges • Interact with customers daily to understand their needs and design solutions to better serve them. • Design and develop “Scopes of Work” by breaking down customer challenges into a project plan • Work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage • Work with AEs and PMs to identify customer-specific feature requests. • Drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team.

🎯 Requirements

• Strong engineering background with prior experience working with clients in a pre or post-sales capacity to realize business goals. • Prior experience developing with Python, Java and/or other web development languages. • Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement. • A track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership. • Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers. • High level of comfort communicating effectively across internal and external organizations. • Intellectual curiosity, empathy, and ability to operate with high velocity. • Nice to haves: • GenAI Experience • Forward deployed engineering experience • Machine Learning Experience

🏖️ Benefits

• Comprehensive health, dental and vision coverage • Retirement benefits • A learning and development stipend • Generous PTO • Additional benefits such as a commuter stipend