Solutions Engineer
关于 OPAQUE OPAQUE 是机密人工智能公司。来自 UC Berkeley 的 RISELab,我们解决了阻碍 AI 在规模上采用的主要挑战：数据泄露或合规性违反问题的安全问题.OPAQUE 为 AI 提供可验证隐私和治理，以便组织可以安全地运行模型，代理人和工作流程在最敏感的数据上。其机密人工资讯平台提供可验證的运行时间治理，支持加密证明数据，模型和代理行动保持私人，管理和符合通过的政策在每个人工智能工作流程中。这将扩大传统的数据治理工具，并提供实时运行验证，使团队能够通过使用最有价值的专利数据负责部署人工智能，并且从试点到生产转移4-5倍快。客户和合作伙伴包括 ServiceNow,Anthropic,Encore Capital,Accenture 以及高科技，金融服务，保险和医疗保健领域的领导者。了解更多阅读我们的价值观关于角色我们正在寻找解决方案工程师来在销售前和销售后的参与中发挥关键作用，作为技术能力与客户需求之间的桥梁。在销售周期中，你将与会计管理人员密切合作，并与产品和工程团队进行后卖合作以确保无的实施和客户成功。关键责任 · 合伙人与账户管理员 (AEs) 来支持技术预售工作，包括定制产品演示，解决方案设计和根据客户需求的概念证明。· 处理技术反对意见并阐明我们的解决方案价值来保证客户信心。· 做为可信的技术顾问，通过评估和采用我们的平台指导前景和客户。· 构建，维护和记录演示和 POC. ·与内部团队合作，确保一个流的试点和实施过程，并通过产品，工程和运营进行跨职能工作。我们正在寻找什么 · 客户面临技术角色5年以上经验。· 数据工程，ETL,数据应用，数据科学方面的技术经验。•开发人员至少在以下领域之一有经验：python,scala,java 或 R. ·了解 GenAI 概念和代理框架。·强大的技术能力，与公共云提供商 （AWS,Azure 或 GCP）的经验；
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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.
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About the RoleWe 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.
What We’re Looking For
· 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.
Why Join Us?
· 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)
Originally posted on Himalayas