Technical Product Specialist

Founded in 2017, Slite has become a key player in the knowledge management space, praised for our ease of use, attention to detail, and stellar customer experience. Today, we are building the memory layer for teams and their agents, combining a trusted knowledge base with AI search across all the tools where work actually happens.

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 hands-on Technical Product Specialist to help our customers get the most out of Slite and Super. You'll be both the day-to-day support contact our customers rely on and the depth that gets the harder stuff resolved. You'll work across the full range of issues, from quick product questions to deep API and MCP debugging to partnering with Sales and CX whenever customers need real answers on a call.

You'll bring an engineering mindset to the role by digging into logs, troubleshooting integrations, finding workarounds, and feeding what you learn back into the product and the Help Center.

What you'll do

• Own day-to-day support across all our channels, handling everything from foundational product questions to complex technical investigations, while maintaining strong CSAT and meeting SLAs.
• Partner with Sales and CX, joining customer calls to answer technical questions and unblock customers in real time.
• Help customers integrate Slite and Super into their AI workflows, troubleshooting MCPs and unblocking automations across Zapier, n8n, and Claude.
• Own technical escalations end to end, taking deep-dive tickets (API and MCP issues, integration failures, multi-system bugs) to resolution.
• Find workarounds and propose paths forward when customers hit feature gaps.
• Work with engineering to drive product improvements, documenting bugs with detailed technical context and spotting patterns across tickets.
• Keep the Help Center alive, writing new content, updating what's stale, and building guides that cut down repeat questions.
• Build and maintain deep expertise in Slite and Super's product, APIs, and integrations, staying ahead of every new release so customers always get a confident answer.

Who you are

• 2+ years of technical support experience, preferably at a small, fast-moving SaaS company.
• You can troubleshoot APIs, MCPs, and automation tools without flinching. Prior work with Zapier, Intercom, or Linear is a bonus.
• You use AI tools every day, have strong opinions about getting the best from them, and know when to trust them and when not to.
• You explain the complicated stuff clearly — in writing, on calls, and with enough warmth that customers feel heard even when things aren't working.
• You spot patterns across support issues and connect them to product improvements without being asked.
• You're naturally curious. You enjoy getting to the root of why things break, and you follow new tech just because it interests you.
• You're comfortable working without established playbooks, building them as you go, and don't wait for perfect information before taking ownership.
• You're dependable. Tickets don't get lost on your watch, follow-ups happen, and you care about doing the job properly.

As part of your application

As part of your application, we'll ask you to respond to two real customer inquiries we've received. For each, you'll share a draft response to the customer and a short outline of your investigation steps.

There are no perfect answers — we're looking for how you think, how you write to customers, and how you approach finding the root of a problem. We encourage you to use our Help Centers as a reference:

• Slite Help Center
• Super Help Center

AI policy

We use AI tools every day and love them. But for these questions, we want to hear your own voice, not a polished LLM answer. Use AI to check your grammar if you like, but the substance should be yours.