Solutions Engineer, Unstructured.io
Post-Sales and ProServe
+ Performance-based incentives
Data prepping for Large Language Models
Be an early applicant
Data prepping for Large Language Models
21-100 employees
Be an early applicant
+ Performance-based incentives
21-100 employees
Company mission
To give organizations access to all of their data.
Role
Who you are
- 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
- 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
Desirable
- 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
What the job involves
- 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
- 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
Our take
Unstructured.io is tackling a prevalent challenge in AI adoption - the difficulty of integrating complex, enterprise-sized data with Large Language Models (LLMs). The company's platform provides a solution by extracting and staging all data, even that which is in difficult-to-use formats, and making it compatible with LLMs.
Thus, the startup streamlines the time-consuming data preparation process, providing tools for otherwise complex tasks like removing unwanted elements, text concatenation, and Optical Character Recognition (OCR). It also tailors processing pipelines for specific document types, addressing a critical bottleneck in AI development workflows.
In enabling the seamless integration of LLMs with enterprise data, Unstructured.io's platform has the potential to unlock substantial productivity gains. As of 2023, it boasted over 700,000 downloads, and will continue to develop its pioneering solution to the data preparation bottleneck which will be critical for addressing evolving industry demands.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Mar 2024
$40m
SERIES B
Jul 2023
$20m
SERIES A
Total funding: $65m
Company HQ
SoMa, San Francisco, CA
Leadership
Brian S. Raymond
(CEO)Previously worked in Investment Banking at Harris Williams & Co. Prior to this they worked at The White House in the National Security Council and as an Intelligence Officer at the Central Intelligence Agency.
Matt Robinson
(Head of Product)Previously a Machine Learning Engineer at Rebellion Defense, a Solutions Engineer/Director at Primer.ai, and a Data Science Manager at Capital One.
Crag Wolfe
(Head of Engineering)Previously the Director of Engineering at Primer.ai. They also worked at Red Hat as a Python Developer and at Ricoh Innovations as a Web Architect.
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