--- title: 'Member of Technical Staff, Intern at Rootly' canonical: 'https://feeny.ai/job/member-of-technical-staff-intern-rootly-toronto-8q76y5dm7q4b' type: 'job' last_seen: '2026-09-10' --- # Member of Technical Staff, Intern at Rootly - **Company:** Rootly - **Location:** Toronto, Canada - **Employment:** internship - **Work type:** hybrid - **Posted:** 2026-08-14 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.gem.com/rootly/am9icG9zdDqzyi7aImQYRIgTtRYLxfWb ## Job description ## About Rootly At [Rootly](https://rootly.com/), we are on a mission to be the go-to way companies respond when things go wrong, helping every organization be more reliable. We do this by building an industry-leading incident management platform that allows companies around the world consistently and quickly resolve incidents. We are not simply transforming an industry, we are carving an entirely new +$B segment ourselves and need incredible talent to achieve this ambitious goal together. Customers love Rootly. Some of the fastest growing companies around the world such as NVIDIA, Figma, Canva, Tripadvisor, Squarespace and more rely on Rootly to power their critical incident management process. They obsess over our delightful enterprise-ready platform and unique partnership model. See why our customers have reviewed us [5 stars on G2](https://www.g2.com/products/rootly-manage-incidents-on-slack/reviews). Investors love Rootly. We are backed by some of the most respected funds in the world from Y Combinator to operators like the CTO of Dropbox and GitHub. We'd be happy to disclose our entire funding and profitability picture live during the interview. As a culture we relentlessly put transparency first. We conduct monthly financial reviews as a team so everyone has a pulse on the health of the business and publish what we are building in our [weekly changelog](https://rootly.com/changelog). ## About Rootly AI Labs Rootly AI Labs is a fellow-led research and open-source team exploring how AI can make complex systems more reliable and the people operating them more effective. We build benchmarks, prototypes, and practical tools that test frontier models against real reliability challenges, from incident response and on-call health to agent behaviour under pressure. We work in public, move quickly from ideas to experiments, and share what we learn with the broader engineering community. Our goal is to turn promising AI research into useful, trustworthy systems while keeping human judgment at the centre. Work from Rootly AI Labs has been presented at NeurIPS, ACL, ICML, and Meta's AI Ops Conference. The Labs brings together researchers, operators, and builders from across the industry, with support from AWS, Google DeepMind, Anthropic, and Zalando. ## About the Role You will manage SRE Skills Bench, Rootly AI Labs' open-source benchmark for measuring how well AI models handle real-world reliability engineering tasks. You will help move the project from research questions to public releases. This includes designing realistic SRE scenarios, expanding the evaluation dataset, running model evaluations, improving the benchmark infrastructure, and sharing the findings with the AI and reliability communities. The role combines applied AI research, technical project management, community building, and public communication. You will report directly to the Head of Rootly AI Labs and work closely with fellows, researchers, and engineers across the community. ## What You'll Do - Participate in shaping the roadmap and research questions for SRE Skills Bench. - Help build an active community around the benchmark and encourage outside contributions. - Create realistic evaluation tasks based on incident response, infrastructure, debugging, observability, and production operations. - Help develop reliable and reproducible methods for evaluating frontier and open-source models. - Analyze results and turn them into reports, technical articles, and public datasets. - Collaborate with SREs, researchers, model providers, and open-source contributors. - Evaluate how new models, agents, and coding environments perform on operational work. - Help establish SRE Skills Bench as the industry standard for evaluating AI on reliability engineering. ## What You'll Need - Hands-on experience or a strong interest in SRE, infrastructure, platform engineering, DevOps, or production operations. - Familiarity with LLM evaluations, benchmarks, agents, or applied AI research. - An experimental mindset, with an interest in designing reproducible tests, examining imperfect results, and learning quickly. - A self-driven approach, with the initiative to make sound decisions and move ambitious projects forward with minimal guidance. - The ability to explain technical work clearly and enthusiasm for sharing it through articles, social media, and talks at meetups or conferences. - Comfort working in a hybrid environment and collaborating asynchronously with a curious, distributed team. Role Details: Employment Type: Full-Time Intern Duration: Ongoing Internship with the possibility to conversion to a full-time role based on fit and project needs. You do not need to match every qualification. We value practical experience, sound judgment, curiosity, and the ability to turn ambitious ideas into useful work. Rootly is an equal opportunity employer. We aim to create an environment where every team member at Rootly feels like they belong so they can have a greater impact on our business and customers. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. ## About Rootly ## Company Overview - **One-liner**: Rootly is an AI-native incident management and on-call platform that helps engineering teams resolve incidents faster, learn continuously, and sleep better. - **Entity Type**: Private (Series A, raised $15.3M total) - **Headquarters**: Toronto, Ontario, Canada (with an office in San Francisco) - **Founded**: 2021 - **Founders**: JJ Tang (CEO) and Quentin Rousseau (CTO/CISO) ## Core Business - **Primary industry**: Software Development / Incident Management / DevOps - **Target customers**: B2B, serving engineering teams at companies ranging from startups to large enterprises (e.g., Dropbox, Lattice, Webflow, Figma, LinkedIn, NVIDIA) - **Mission**: To help every organization become more reliable by bringing clarity and structure to incident response. ## Products & Services - **Incident Response**: End-to-end incident lifecycle management – declare incidents, spin up Slack channels, coordinate responders, track tasks, and automate operational busywork – all within Slack or Microsoft Teams. - **On-Call**: AI-powered scheduling, paging, escalation, and coverage requests with a mobile-first experience designed to reduce alert fatigue. - **AI SRE Agents**: Autonomous agents that connect signals (code changes, telemetry, past incidents) to provide probable root cause analysis, suggested fixes, and reasoning – helping responders move faster. - **Status Pages**: Public and private status pages to keep customers and stakeholders updated during incidents. - **Retrospectives**: Collaborative post-incident reviews with AI-generated timelines, summaries, and action-item tracking to turn incidents into learning. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company) - **Key Metric**: Annual revenue of $1.2M (per LinkedIn); total funding of $15.3M (Seed + Series A) - **Notable Investors/Partners**: Y Combinator (S21), XYZ Venture Capital (Seed lead), Renegade Partners (Series A lead) - **Growth Signals**: 58 employees (+33.9% YoY); workforce distributed across 8 countries; active job postings up +1300% year-over-year; used by 100+ companies including Figma, LinkedIn, and NVIDIA. ## Competitive Advantages - **AI-native platform**: Built with AI at the core – automated RCA, AI meeting bot scribing, instant catch-up summaries, and AI-generated retros reduce cognitive load during incidents. - **Deep integrations**: Works seamlessly with Slack, Teams, Jira, Zoom, Terraform, API, and MCP server – allowing teams to operate without leaving their existing tools. - **Purpose-built for modern teams**: Codified from millions of real-world incidents, designed for teams that can’t afford downtime yet simple enough for anyone to use. ## Strategic Focus - **AI-driven reliability**: Continuing to embed AI across the incident lifecycle to automate diagnosis, remediation, and learning. - **Global expansion**: Hiring across US, Canada, Europe, and Singapore; building a distributed workforce to serve a global customer base. - **Product-led growth**: Offering a modular platform (incident response, on-call, AI SRE, status pages, retrospectives) that teams can adopt individually or as a whole. ## Why Work Here - **Culture**: Fast-moving, high-impact environment where employees own big problems from day one. Transparent interview process including a paid work trial to ensure mutual fit. - **Work policy**: Hybrid – hires across US, Canada, Europe, and Singapore; free lunches at HQ (Toronto); remote-friendly with flexible timezones. - **Perks**: Competitive salary, meaningful equity, 401(k) matching (US employees), top-tier medical/dental/vision/life insurance, flexible PTO, company holidays, team off-sites, year-end shutdown, annual home office stipend, and top-tier hardware. - **Engineering culture**: Obsession with building simple but powerful design, reliability-first infrastructure, and customer-driven iteration. AI is central to how the team builds and evaluates candidates. ## Sources 1. [rootly.com/careers](https://rootly.com/careers) 2. [rootly.com](https://rootly.com/) 3. [ca.linkedin.com/company/rootlyhq](https://ca.linkedin.com/company/rootlyhq) 4. [ycombinator.com/companies/rootly](https://www.ycombinator.com/companies/rootly) 5. 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