Solutions Engineer (Post-Sales/ProServe)

Unstructured is making it possible for organizations to continuously collect their human-generated data and use it in conjunction with LLMs to power a range of workflows. We make it effortless to connect to any in-house or third-party models and deliver that data to any downstream location. We do two things better than anyone: file transformation and data orchestration.  Unstructured’s open source package has been downloaded more than 26 million times, and is used by more than 50k companies, including nearly half of the Fortune 500.  In the last two quarters, thousands of users have signed up for Unstructured’s commercial product, with several thousand currently on the waitlist for our ETL platform. 

We are seeking a dynamic and customer-focused Solution Engineer (Post-Sales/ProServe) to join our commercial team. In this role, you will partner with enterprise customers to design, implement, and optimize cloud-native solutions that drive real business impact. You will play a critical role in post-sales delivery, ensuring customers achieve success and maximize value from our platform. This is a high-visibility, hands-on position requiring technical depth, strong communication skills, and the ability to build trusted relationships across both technical and business stakeholders.

-Lead complex solution deployments across commercial enterprise environments and cloud platforms (AWS, Azure, GCP), ensuring secure, scalable, and high-performance implementations.

-Serve as a trusted technical advisor, delivering best-in-class guidance on the deployment, integration, and optimization of our AI-enabling products, including Retrieval-Augmented Generation (RAG) solutions.

-Build and deliver technical assets such as reference architectures, onboarding guides, and deployment playbooks to support customer success and accelerate time-to-value.

-Collaborate with Sales and Customer Success teams to drive post-sales adoption through technical enablement, demos, workshops, and proof-of-concept (POC) projects.

-Troubleshoot and resolve complex technical issues across customer environments, proactively driving solutions that ensure stability, observability, and ongoing performance.

-Partner with Product and Engineering teams to surface customer feedback, inform product roadmaps, and influence feature development based on real-world commercial use cases.

-Bachelor's degree in Computer Science, Engineering, or related field, with 5+ years of experience as a Solution Engineer, Technical Consultant, or in a post-sales/delivery role supporting commercial customers.

-Advanced expertise with major cloud platforms (AWS, Azure, GCP), containerization technologies (Docker, Kubernetes), and Infrastructure as Code (IaC) tools.

-Strong programming and scripting skills in Python for automation, API integration, and solution customization; experience with CI/CD pipelines and version control systems (e.g., Git).

-Proven ability to deliver scalable, secure solutions aligned with commercial security and compliance standards; familiarity with DevSecOps practices is a plus.

-Demonstrated success leading customer-facing engagements, managing enterprise implementations, and driving technical value for commercial clients.

-Excellent communication and consultative skills, with the ability to engage stakeholders at all levels, translate technical solutions into business outcomes, and foster long-term customer relationships.

-Ability to thrive in a fast-paced, dynamic environment, working independently or within small teams; interest or experience in emerging technologies like Retrieval-Augmented Generation (RAG) is a plus.

-Master’s degree in Computer Science, Engineering, or a related field.

-Experience supporting pre-sales or sales engineering efforts, including solution design, technical demos, and proof-of-concept (POC) delivery for commercial customers.

-Deep understanding of commercial security frameworks, compliance standards (e.g., SOC 2, ISO 27001), and best practices for securing cloud-native and containerized applications.

-Familiarity with large-scale data solutions, including designing or deploying Retrieval-Augmented Generation (RAG) applications, vector databases, or AI/ML workflows.

-Strong business acumen with the ability to identify customer pain points, influence technical decision-making, and position solutions that drive measurable business outcomes.

-Experience working within agile delivery frameworks and collaborating cross-functionally with Sales, Product, and Customer Success teams to ensure customer satisfaction and long-term adoption.

-Remote first company.

-Competitive salary and performance-based incentives.

-Comprehensive benefits package, including health, dental, and vision insurance and parental leave.

-Opportunities for career growth and professional development.

-A vibrant and inclusive work environment where your ideas matter.