As a Solutions Engineer, you will lead technical interactions with Unstructured’s users, enabling them to achieve business and mission objectives with our products and services. Ideal candidates will have proven success in the post-sales development and deployment of technical products, as well as experience providing technical support to sales activities.

Primary Responsibilities

• Lead technical execution on post-sales engagements, ensuring delivery excellence and forging strong relationships with our users, and deploying our tools in virtual private clouds and on-premises.
• Become an expert at using the Unstructured API and Platform, building and presenting reference architectures, technical guides, and onboarding material for users.
• Provide top-notch support and guidance on the deployment, integration, and/or use of our AI-enabling products.
• Help grow our deployments through technical support to business development activities (giving demos and workshops, building prototypes, etc.).
• Partner with our product managers and engineering leads to identify and prioritize feature development based on customer feedback and market signal.
• Build deep expertise in the Gen AI industry, especially Retrieval Augmented Generation (RAG) applications, and proactively share your knowledge with colleagues and customers.
  
  

Requirements

• 3+ years of experience as Solutions Engineer, Sales Engineer, or Solutions Architect
• 3+ years of experience in software engineering or DevOps.
• Experience leading successful, customer-facing engagements, including deployments directly in customers’ environments.
• Ability to write and maintain scripts in Python, especially for automation, API interactions, and data manipulation.
• Professional experience with deployment technologies, such as Docker, Kubernetes, and tools of major cloud service providers (Azure/AWS/GCP).
• Experience with CI/CD pipelines, version control systems (e.g., Git), and infrastructure as code (IaC) tools.
• Familiarity with security best practices, including securing containerized applications and resolving vulnerabilities.
• Excellent communications skills, including the ability to facilitate effective collaboration across teams and articulate technical solutions and value propositions to non-technical stakeholders.
• Comfort working in a fast-paced, fluid environment, operating effectively both with relative independence and as a member of small teams.
• Experience with or interest in building RAG applications.
• While we are a remote first company, engaging customers requires a willingness and interest to travel up to 20%.
  
  

Why Join

• Opportunity to lead a dynamic team and work on cutting-edge machine learning projects.
• Collaborative and innovative work environment with a focus on learning and growth.
• Impactful role in shaping the company's technical direction and driving innovation in unstructured data processing.
• Competitive compensation package, including benefits and stock options.