Sobre este puesto de Solutions Engineer en Opaque Systems
About OPAQUE
OPAQUE is the Confidential AI company. Born from UC Berkeley’s RISELab, we solve the core challenge blocking AI adoption at scale: security concerns about data leaks or compliance violations. OPAQUE provides verifiable privacy and governance for AI so organizations can safely run models, agents, and workflows on their most sensitive data. Its Confidential AI platform delivers verifiable runtime governance backed by cryptographic proof that data, models, and agent actions remain private, governed, and compliant with approved policies throughout every AI workflow. This extends traditional data governance tools with real runtime verification, enabling teams to responsibly deploy AI using their most valuable proprietary data, and move from pilot to production 4-5X faster. Customers and partners include ServiceNow, Anthropic, Encore Capital, Accenture, and leaders across high tech, financial services, insurance, and healthcare.
Learn More at Opaque.co
Read about our Values at Opaque.co/about
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.
Key Responsibilities- 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!
The pay range for this role is:
150,000 - 200,000 USD per year (HQ)
