Solutions Engineer (Pre and Post Sales)

Founded in 2017, Slite has become a key player in the knowledge base space, praised for our ease of use, attention to detail, and stellar customer experience. In 2025, we're expanding our vision with Super, our second product that makes AI ready-to-use at work by syncing company data and providing teams with powerful recipes and tools for immediate AI implementation.

We foster a culture of deep trust and care while embracing direct feedback and pushing boundaries, driven by a doer mentality that delivers results no matter what. We take pride in exceptional craft across everything that touches our customers' experience. As a fully remote company, our team operates within EU timezones, helping us stay connected while reducing our CO2 footprint.

We're looking for a technical, customer-obsessed Solutions Engineer to help teams get real value from Slite and Super as quickly and effectively as possible. You'll be both a technical partner during the sales process and a trusted guide through implementation and adoption. You'll work with our most important customers to design solutions, support pilots, and then stay with them to ensure successful deployment and lasting impact.

You'll bring a strong engineering mindset to the role by implementing real customer setups, building with our APIs and MCP servers, creating custom workflows, and showcasing what's possible when Slite and Super work together.

What you'll do

• Be the technical partner to Sales on complex deals by supporting pilots, architecting solutions, and providing the technical expertise needed to move deals forward.
• Lead technical implementations for high-value customers, navigating complexity and building custom solutions that go beyond standard onboarding.
• Design and build solutions across the Slite + Super stack: Assistants, workflows, APIs, integrations, and custom data sources.
• Troubleshoot and resolve technical issues directly with customers, diagnosing problems and finding solutions before escalating to Engineering.
• Own security and compliance conversations, including RFPs and questionnaires.
• Create scalable onboarding resources: guides, documentation, templates, and training programs.
• Build internal fluency by training Sales, CS, and RevOps on technical capabilities and customer use cases.

Who you are

• You have customer-facing experience deploying or implementing complex technical products, ideally in knowledge management, AI, or productivity tools.
• You can write SQL and Python to solve customer problems and build custom solutions. When the team needs a script or integration, you're the person they come to.
• You're experienced working with APIs and building integrations using tools like Zapier or n8n, as well as configuring MCP connectors for Claude, ChatGPT, and similar AI platforms.
• You have examples of supporting sales teams through technical pilots and complex deal cycles.
• You're technical enough to diagnose root causes and propose solutions, not just relay problems between customers and Engineering.