Solutions Engineer

Opaque is the confidential AI platform unlocking sensitive data to securely accelerate AI into production. Created by world-renowned researchers at the Berkeley RISELab, Opaque’s user-friendly platform empowers organizations to run cloud-scale, general purpose AI workloads on encrypted data. Opaque supports popular languages and frameworks for AI, including Python and Spark, and enables governed data sharing with cryptographic verification of privacy and sovereignty. Opaque customers deploy high-performance AI faster and eliminate the tradeoff between innovation and security. 

At Opaque, we cultivate an effective work culture grounded in kindness, customer-centricity, and continuous improvement. By fostering innovation, inclusivity, and excellence, we attract top talent and set industry standards, leading to widespread adoption and trust in AI technologies that keep data private and sovereign.

We are looking for a Solutions Engineer to play a critical role in both pre-sales and post-sales engagements, acting as a bridge between our technical capabilities and customer needs. You will work closely with Account Executives during the sales cycle and collaborate with the Product and Engineering team post-sale to ensure seamless implementation and customer success.

• Partner with Account Executives (AEs) to support technical pre-sales efforts, including custom product demos, solution design, and proof-of-concepts tailored to customer requirements.
• Address technical objections and articulate the value of our solution to ensure customer confidence.
• Act as a trusted technical advisor, guiding prospects and customers through the evaluation and adoption of our platform.
• Build, maintain and document demos, and POCs. 
• Collaborate with internal teams to ensure a smooth pilot and implementation process, working cross-functionally with Product, Engineering, and Operations.

• 5+ years of experience in customer facing technical roles.
• Technical experience in data engineering, ETL, data applications, data science
• Developer experience in at least one of the following. python, scala, java, or R.
• Understanding of GenAI concepts and agentic frameworks.
• Strong technical aptitude, with experience working with public cloud providers (AWS, Azure, or GCP)
• Exceptional communication skills, with the ability to translate technical features into real-world business value for customers.
• Startup experience—comfortable working in a lean, fast-paced environment.
• Proven success supporting technical buyers and collaborating on closing deals.

• Be a key player in a high-growth startup where your impact is tangible.
• Work with cutting-edge technology in the AI/ML space.
• Collaborate with a team of passionate, driven professionals.
• Competitive salary, benefits, and career growth opportunities.

If you're passionate about solving customer challenges with innovative solutions and have a strong technical background, we'd love to hear from you!