Solutions Engineer

Application ends: October 1, 2026
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Job Description

Job Detail
  • You are your own worst critic
  • You have a high bar for quality and don’t rest until the job is done right—no settling for 90%
  • We want someone who ships fast, with high agency, and who doesn’t just voice problems but actively jumps in to fix them
  • You have 3 to 6 years of experience working with enterprise or regulated customers
  • You’re excellent with Python and can navigate Bash and infrastructure as needed
  • You’re very comfortable with Kubernetes
  • Tools: Build your own tools as needed—like a quick Streamlit app to test hypotheses or create a dataset
  • Approach: A quantitative approach to building products
  • Ability to debug, experiment, and iterate fast
  • You should be comfortable getting hands-on with the full development lifecycle, from ideation to shipping to users


  • The Core Work Will Include

    Work with our GTM team to demonstrate our product capabilities for their specific environments through demos and proof-of-concepts
  • Designing and advising on system architecture or data flow to best integrate the product
  • Writing scripts or coding to help customers better leverage the best of Reducto’s products code (e
  • g
  • , API calls, connectors, dashboards)
  • Collaborating closely with customers, support, and core engineers to identify high-impact improvements
  • Acting as a feedback loop to the product and infra teams—surfacing usability gaps, unmet needs, and opportunities to deepen customer value
  • Working directly with the founders and customers to shape the product direction and engineering strategy

    Bonus Points If You

    Have prior experience founding a company or building products at early stages
  • Are ambitious and driven, and care a lot about doing great work with great people
  • Keep up with the latest developments in ML/AI

    This is an in person role at our office in SF
  • We’re an early stage company which means that the role requires working hard and moving quickly
  • Please only apply if that excites you


  • About Reducto

    Nearly 80% of enterprise data is in unstructured formats like PDFs

    PDFs are the status quo for enterprise knowledge in nearly every industry
  • Insurance claims, financial statements, invoices, and health records are all stored in a structure that’s simply impractical for use in digital workflows
  • This isn’t an inconvenience—it’s a critical bottleneck that leads to