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LogRocket

Real-time web app analytics and debugging

Senior Software Engineer

Full-Time
$135k - $200k/yr+ Stock options
Mid, Senior
Boston, MA, USA+1 moreMore locations: New York, NY, USA
Hybrid
Software EngineeringFull-Stack Engineering
H1B Sponsorship Available

About the job

Requirements
  • At least 4 years of experience in a full-stack development role.
  • Familiarity with current cloud technologies, including architectural principles, relevant tools, and their strengths and weaknesses.
  • Fluency with AI-assisted development tools such as Copilot, Cursor, or Claude Code, and interest in building AI-powered product capabilities.
  • Familiarity with modern JavaScript-based applications and frameworks.
  • At least one previous full-time software engineering role.
Responsibilities
  • Design a system to automatically detect the most common user paths across millions of events.
  • Implement a search backend that enables users to search in real time across billions of log entries.
  • Build a machine learning pipeline that automatically detects bugs in users’ applications.
  • Automate database scaling to improve operating costs while maintaining the ability to respond to traffic spikes.
  • Build a system that automatically recommends customer integrations based on their toolset.

About the company

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LogRocket

View
cbWebsite

LogRocket provides an analytics platform that helps product teams, developers, and customer success managers monitor and debug web applications in real time. Users can view live sessions and performance data to understand how people interact with a site, identify issues, and optimize UX. The product works by collecting and organizing data from user sessions, console logs, network activity, and performance metrics, then presenting it in a way that pinpoints problems and improvement opportunities. The company differentiates itself by focusing on real-time session replay and debugging alongside analytics, targeting web apps and integrating into developers’ workflows. LogRocket operates on a subscription model with multiple pricing tiers based on features and support, aiming to help customers deliver faster, more reliable, and better‑converting web experiences.

Company Size

201-500

Company Stage

Series C

Total Funding

$55M

Headquarters

Boston, Massachusetts

Founded

2016

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Simplify Jobs

Simplify's Take

What believers are saying

  • June 2026 Auto-Dispatch sells immediate developer ROI: faster fixes, fewer backlog tickets.
  • Rippling and ShipStation Global use MCP; Kaplan and Parts Town use Ask Galileo.
  • LogRocket's 2026 product cadence signals strong land-and-expand momentum across observability and AI workflows.

What critics are saying

  • July 2026 NFL.com CIPA suit targets LogRocket session replay as wiretapping evidence.
  • California privacy plaintiffs attack pre-consent recording; one adverse ruling threatens enterprise sales.
  • Competitors can bundle cheaper replay with AI copilots, compressing LogRocket's pricing power.

What makes LogRocket unique

  • June 2026 Galileo MCP connects session replays directly into Claude, Cursor, and Codex.
  • June 2026 Auto-Dispatch opens pull requests from severe issues without manual triage.
  • LogRocket's 3,000-plus customers get replay, support, and product data in one workflow.

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Benefits

  • Flexible Work Hours - Flexible hours allow you to work when you are most productive. You can work with your manager to best plan your daily work schedule.
  • Stock Options - Full-time employees receive stock options - we believe that we all should own a piece of the incredible company we’re building.
  • Health, Dental & Vision Coverage - Our robust nationwide health plans give you the flexibility to select the right coverage for you and your family through a variety of plan options.
  • Unlimited PTO - Enjoy time to travel, plan a staycation, or just take a day off when needed with our unlimited PTO policy. Each employee is afforded the flexibility to rest and recharge.
  • Parental Leave - Balancing work and family is essential, so LogRocket offers three months of fully-paid parental leave to any employee welcoming a child into their home.
  • Learning & Development - We know how important career growth is, so we offer a yearly $500 stipend to help support continued development throughout your journey.
  • Lunch & Snacks - Free catered lunches three days a week plus unlimited snacks and cold brew in our office.
  • Social Activities - Being remote has not stopped us from hosting fun events. From trivia to chocolate making to virtual paint nights, we ensure employees are fostering connections and building strong relationships.
  • 401(k) - Plan and invest for the future with a 401(k) via Guideline. LogRocket’s 401(k) plan provides you an opportunity to defer compensation for your long-term savings.

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
WPGX Fox 28
Jun 23rd, 2026
The era of self-improving software is here: LogRocket now auto-dispatches coding agents to fix user issues.

The era of self-improving software is here: LogRocket now auto-dispatches coding agents to fix user issues. * 4 hrs ago LogRocket's Galileo AI watches user sessions, identifies the issues that matter most, and now automatically routes them to coding agents in Cursor, Claude Code, and Codex, which trace the root cause and open a pull request automatically. Outlook for Future is 'Divided' Between Sides of 'K-Shaped' Economy, Says Peter Atwater BOSTON, June 23, 2026 (GLOBE NEWSWIRE) - LogRocket, creators of the AI-first session replay and analytics platform, today announced new self-improving capabilities to LogRocket Galileo's AI, allowing users to automatically identify customer issues and work with their coding agents to develop a fix. Galileo AI already watches real user sessions, reviews customer feedback, and analyzes your product data. It identifies the issues that matter most, prioritized by real user impact. Now, Galileo can route those issues directly to coding agents like Cursor, Claude Code, and Codex, which trace the root cause, draft a fix, and open a pull request for your team to review. Product and engineering teams are using AI agents to automate the manual steps that go into building and maintaining software. However, this "assembly line" of software is still limited by humans prompting their agents on what to build. Coding is no longer the bottleneck; it's figuring out what to build. Now, Galileo decides what user issues need fixing and sends them to your agents to fix, without relying on engineers to delegate and prioritize. LogRocket has been building towards the self-improving software era since 2016, and its new capability underscores its arrival. How does auto-dispatching agents work? LogRocket can now automatically route the user issues Galileo discovers to your coding agents and return a drafted fix. Here's how it works: * You define the criteria that trigger an auto-dispatch: severity, surface area, and the type of issue you trust an agent to take a first pass at. * Galileo watches everything and prioritizes the issues that matter. It watches user sessions, reads customer feedback, and tracks product changes to surface and select issues based on your criteria. * Galileo dispatches the issue to your coding agent within Cursor, Claude Code, Codex, and more, with the full debug package attached. * The agent does the work, reading the context, tracing the root cause, writing the fix, and opening a pull request. Your team comes back to a drafted PR instead of a ticket in the backlog. How are product and engineering teams using Auto-Dispatch? Last month, LogRocket launched the LogRocket MCP, and customers including Rippling and ShipStation Global have built AI agents that resolve issues, report on feature launches, and draft responses to support tickets. At Speedway Motors, Derek Stapleton, Software Development Team Lead, has been using LogRocket to connect observability directly to his team's coding agents: "LogRocket has improved our team's ability to identify, diagnose, and resolve bugs that directly affect conversion," Stapleton said. "Its alerting capabilities integrate seamlessly into our engineering workflow, and its MCP integration has proven especially valuable in connecting observability with modern coding agents. LogRocket has reshaped how our team prioritizes engineering work, enabling us to focus attention on the issues with the greatest financial and customer impact." Kicking off the era of self-improving software Auto-dispatching represents a key step in moving towards the era of self-improving software. The factory floor is running on its own. Your agents aren't waiting for someone to switch them on anymore. They stop sitting idle and start working through the problems that actually matter to your users, so your team can spend its time building great products. There will always be a need for human, artisanal engineering. What's being automated is the routine tasks in between: the triage, the reproduction, and small fixes for bugs you already understand. In the past, a bug could sit in a backlog for two weeks, not because it was hard to fix but because every fix was done by hand, one issue at a time. Someone had to notice it, reproduce it, trace it, and write the fix. Now, Galileo catches the issue from watching real user sessions, dispatches it to a coding agent with the full debug package attached, and the agent opens a pull request before anyone has triaged the ticket. The only human time spent is the part that needs human judgment: the review. Fix the most critical issues affecting your customers Auto-dispatching builds on Galileo, LogRocket's AI that watches user sessions and analyzes data across the product stack to find and prioritize what's affecting users. Galileo pulls from: * Session replays: Galileo watches relevant user sessions to identify friction points within the user journey. * Customer feedback: Galileo listens to customer calls from Zoom, Gong, and other sources to capture user sentiment. * Support tickets: Galileo reads support tickets from sources like Zendesk and Intercom to surface customer issues. * Project management: Galileo tracks product changes in GitHub, Linear, and Jira, and analyzes A/B test results from platforms like Optimizely and Qualtrics. Existing customers can check out the docs to learn how to dispatch coding agents from LogRocket. If you're new to LogRocket, visit logrocket.com to get started. About LogRocket LogRocket is the AI-first session replay and analytics platform. Stop manually watching session replays; Galileo AI does it for you: watching every session, reading user feedback, and tracking project changes to proactively surface what's impacting users before it affects your business. Integrate Galileo into agentic workflows via MCP across tools like Claude, ChatGPT, Slack, and more, and enable Auto-Dispatch to give Galileo the power to dispatch issues to your coding agents in Cursor, Claude Code, and Codex. LogRocket's AI-powered platform allows its 3,000+ global customers to provide an optimal user experience every time. Founded in 2016 in Boston, MA, the company is backed by Battery Ventures, Delta-v Capital, and Matrix Partners. Media gallery

Yahoo Finance
Jun 9th, 2026
LogRocket launches MCP server connecting AI agents to user session data for automated issue detection

LogRocket has launched its Model Context Protocol server, connecting AI agents to the company's Galileo AI platform for real-time product monitoring. The MCP enables agents to analyse session replays, customer feedback and product changes to detect issues, diagnose root causes and identify fixes. The technology allows AI agents to review thousands of session replays in minutes, providing context for product problems. Rippling uses the MCP to identify and resolve customer issues in real time, whilst ShipStation Global connects coding agents to automatically generate pull requests when issues surface. LogRocket customers are building agents for automated issue resolution, product research on new features, and enhanced customer support. The MCP delivers Galileo's analysis directly to AI tools like Claude and Cursor, enabling automated responses to product performance changes.

AiThority
Mar 6th, 2026
Logrocket Launches Ask Galileo, an AI-Powered Chat That Answers Any Question About Your Users' Experience in Seconds

Logrocket launches Ask Galileo, an ai-powered chat that answers any question about your users' experience in seconds. LogRocket's Galileo AI watches every session, reads user feedback, and tracks product changes to proactively identify what's impacting users and how to fix it. LogRocket, creators of the AI-first session replay and analytics software platform, announced the release of Ask Galileo, an AI-powered chat that allows product teams to answer any question about their users' experience in seconds. LogRocket's Galileo AI watches session replays, reads customer feedback, and analyzes disparate data from across the product stack to proactively surface what's affecting conversion, adoption, and user experience. In the past, something as simple as investigating a drop in conversion rate would require product teams to hunt for answers across session replays, dashboards, and various tools. Now, LogRocket users can just Ask Galileo, which delivers an immediate response (and suggested fixes), informed by their product data. Answer any product question in seconds Ask Galileo is an AI-powered chat that answers any question about your users' experience in seconds. You can Ask Galileo via MCP directly from Claude, ChatGPT, Gemini, or Cursor. You can query it from Slack or Microsoft Teams. Or use it inside the LogRocket platform. * Type a question in plain English * Galileo watches relevant session replays, reads customer feedback, and analyzes product changes * You get an answer about what's impacting users, and suggestions on what to do next: Here are some examples of questions asked by real Galileo users: * "Please give any reasons why conversion may be down this month?" * "Where is the biggest bottleneck on our app?" * "Can you tell me in the last 24 hours the percentage of users who got a payment error at checkout?" What makes this different from the wave of AI chatbots hitting the market is what it's built on. Galileo develops a deep understanding of your application: watching session replays, reading support data, and tracking product changes. When you ask a question, it's answered by referencing your actual product data. Some of the most powerful use cases Aithority has seen have been customers who integrate the Galileo MCP into their automated workflows: summarizing all customers' experience in your helpdesk, automating post-release monitoring, and giving context to your sales and customer success teams in your CRM. Mar 6, 2026 Prev Next 1 of 42,938 And, importantly, Galileo shows its work. Every answer surfaces the underlying sessions and data points it used to get there, so your team can validate the findings rather than just take the AI's word for it. Who's using it? Early customers are already seeing the difference. Product teams at Kaplan and Parts Town are using Ask Galileo to improve their digital experiences. "Ask Galileo has become immediately invaluable to my team," said Eitan Dantzig, VP, Product Management - Supplemental Education, at Kaplan, a global provider of educational programs. "We can now have a conversation with our data. This has put deeper insights about our users' behavior at our fingertips. It even allows us to ask things like, 'our customers are reporting an endless spinner, can you find that?' Galileo finds the issue, shows you what it looks like, how often it's happening, and even how to fix it." Sam Brewer, VP Ecommerce at Parts Town, a multi-billion dollar distributor of foodservice equipment parts, uses LogRocket to quantify feature adoption and identify issues in their mobile app. "Ask Galileo was really helpful during our release of the new SnapScan barcode scanning feature," Brewer said. "Being able to drill down with specific questions helped us quantify user adoption and analyze user journey impact. We didn't have to comb through sessions or dashboards on our own; Galileo did it for us." Unify all your data sources LogRocket's Galileo AI brings together all your data from across the product stack, so you can get the most out of the data sources that you already rely on. When a user Asks Galileo, the agent synthesizes an answer from your data, including: * Session replay: Galileo watches every user session to identify friction points within the user journey. * Customer feedback: Galileo listens to customer calls from Zoom, Gong, and other sources to capture user sentiment. * Support tickets: Galileo reads every support ticket from sources such as Zendesk and Intercom to surface user issues. * Project management: Galileo tracks product changes in Linear and Jira, and analyzes the results of A/B tests in platforms like Optimizely and Qualtrics. Galileo also surfaces the relevant sessions and data points it uses to find its answers, allowing LogRocket users to validate findings. [To share your insights with Aithority, please write to [email protected]]

Yahoo Finance
Mar 5th, 2026
LogRocket launches Ask Galileo, an AI chat that answers product questions in seconds

LogRocket has launched Ask Galileo, an AI-powered chat tool that answers questions about user experience in seconds. The feature allows product teams to query their product data using plain English, eliminating the need to manually search through session replays, dashboards and multiple tools. Ask Galileo works by watching session replays, reading customer feedback and analysing product changes to identify issues affecting conversion, adoption and user experience. Users can access it via Claude, ChatGPT, Gemini, Cursor, Slack, Microsoft Teams, or within the LogRocket platform. The tool provides answers with suggested fixes and shows the underlying sessions and data points used to reach its conclusions. LogRocket customers are integrating Galileo into automated workflows for helpdesk summaries, post-release monitoring and CRM context.

LogRocket
Jun 25th, 2024
Introducing Galileo AI Summer '24: Session summaries and severe mobile issues

Enriching customer feedback data - Highlights integrates with Qualtrics and other voice of customer solutions to understand negative customer sentiment