Full-Time

Forward Deployed Engineer

Meticulous

Meticulous

11-50 employees

Automates test creation, maintenance, updates

Compensation Overview

£150k - £300k/yr

+ Significant equity + £2k WFH budget

London, UK

In Person

Approximately 25% travel to customer sites, including US-based customers.

Category
Solution Engineering (1)
Required Skills
Software Testing

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Requirements
  • Typically 3+ years in a demanding technical role, with exceptional candidates considered from 1+ years of experience.
  • Strong communication skills are required to explain complex technical concepts to engineers and executives and collaborate with customers.
  • Willingness to travel approximately 25% to customer sites is required.
  • Comfort working across time zones is required.
Responsibilities
  • Work with customers to understand their full architecture, design implementation strategies that fit their systems, and pair with their engineers to deliver them.
  • Debug and fix rollout-blocking issues, including issues involving the deterministic browser, and ship customer-transformative features that advance the core product.
  • Rework parts of the product to operate at the scale required by customers.
  • Serve as the technical lead to customer engineering leadership, driving scoping, integration, and rollout.
  • Own each customer end-to-end, including the technical relationship and customer outcomes.
  • Guide product direction based on field learnings and determine what to build to advance software-development automation.
  • Ship appropriate product improvements and partner with the core engineering team on larger initiatives requiring deeper scoping.
  • Establish processes, tooling, and best practices for the Forward Deployed Engineer function and improve deployment efficiency.

Meticulous.ai provides automated software testing tools that write, fix, and maintain test suites for software applications. The product continuously updates tests as the application evolves, adding new tests for new features or edge cases and removing outdated ones, so the test suite stays comprehensive without manual intervention. Built from the Chromium base with a deterministic scheduling engine, it executes tests quickly and aims to eliminate flaky tests, increasing reliability. The company targets developers and teams building complex applications, offering a subscription or usage-based pricing model. Its goal is to help developers ship high-quality, regression-free code faster by freeing them from manual testing chores.

Company Size

11-50

Company Stage

Series A

Total Funding

$19.1M

Headquarters

San Francisco, California

Founded

2021

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Simplify Jobs

Simplify's Take

What believers are saying

  • July 2026 $15M Series A funds marketing, backend testing, and performance testing.
  • Named customers Notion, Dropbox, Wiz, and ElevenLabs prove demand among fast-shipping teams.
  • August 2026 performance-testing beta expands Meticulous beyond visual regressions into broader developer workflows.

What critics are saying

  • Playwright and agentic tools like Stagehand commoditize browser testing by 2026.
  • Meticulous depends on real traffic; low-traffic products starve coverage and weaken retention.
  • Google and OpenAI agents can replace replay-based testing, killing Meticulous's category by 2027.

What makes Meticulous unique

  • Meticulous records real sessions and deterministically replays them without flaky selectors.
  • August 2026 agentic harness generates new sessions from code diffs and recordings.
  • July 2026 Series A investors Menlo, Chemistry, and Jason Warner validate technical credibility.

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Benefits

Home Office Stipend

Wellness Program

Conference Attendance Budget

Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

4%

1 year growth

-3%

2 year growth

-10%
QA Financial
Jul 23rd, 2026
Sauce Labs, Meticulous and Functionize: the latest vendor and product news.

Sauce Labs, Meticulous and Functionize: the latest vendor and product news. Artificial intelligence continues to reshape software testing, with vendors racing to build platforms that can validate AI-generated code, automate quality engineering and strengthen software assurance. This week's roundup includes fresh funding for Meticulous, a major new AI testing platform from Functionize, SmartBear's latest AI integrations, Elastic's independent testing success and more. Sauce Labs launches release assurance platform. Sauce Labs has launched AURA, an AI-powered release assurance platform designed to help enterprises verify AI-generated code at the pace it is produced. The company said AURA uses agentic AI to author, execute and analyse tests through an autonomous learning loop, integrating with existing CI/CD pipelines and DevOps workflows. Sauce Labs claims enterprise deployments have achieved 90% fewer production incidents, 47% faster release cycles and reclaimed 38% of engineering capacity. The launch accompanies a new study of 400 engineering leaders highlighting growing concern over AI-driven software quality, with more than half admitting they knowingly release code containing critical defects. Meticulous lands $15m. AI-powered testing startup Meticulous has raised $15 million in Series A funding led by Redpoint Ventures to accelerate development of its autonomous software testing platform. Meticulous automatically creates and maintains end-to-end browser tests by observing how users interact with applications, dramatically reducing the effort traditionally required to build regression suites. The company, founded in 2021 in London, says its deterministic browser technology also helps eliminate flaky tests, serving a range of banks and financial firms, mostly in the UK. The investment reflects growing demand for automated verification as AI coding assistants generate ever larger volumes of software that still need independent validation before release. Functionize launches new testing agent. Functionize has unveiled Studio, a new AI-native software quality platform designed to act as an independent testing agent for applications built by both developers and AI coding assistants. Users describe what they want to validate in natural language, after which Studio generates, executes and maintains automated tests. The platform also automatically repairs tests as applications evolve. Functionize says the launch marks a shift towards autonomous quality assurance, where AI agents verify software produced by other AI agents. mabl extends AI assistance. Testing platform mabl has introduced additional AI-powered capabilities designed to simplify test authoring, debugging and maintenance. The new features help engineering teams create automated tests more quickly using natural language while providing AI-assisted recommendations when failures occur. The launch reflects the industry's wider move towards conversational software testing as the gap between code generation velocity and quality validation is widening. "Coding agents ship faster than any team in software history, but an agent grading its own work is biased toward shipping," warned mabl founder Dan Belcher. Tricentis strengthens AI testing. Tricentis has expanded its AI-powered testing portfolio with new capabilities designed to accelerate test creation and improve enterprise software validation. The latest enhancements use generative AI to help create, optimise and maintain automated tests while reducing manual effort across complex enterprise environments. The company continues to position AI as a way to improve testing productivity while maintaining governance over increasingly rapid software delivery. SmartBear expands testing ecosystem. SmartBear has announced a series of AI integrations spanning Anthropic Claude, GitHub, Atlassian Rovo and Amazon Web Services' Kiro development environment. The new integrations bring test generation, API governance and quality intelligence directly into AI-assisted development workflows, allowing developers to access testing information without leaving their coding environments. The move reflects the growing trend towards embedding quality assurance directly inside software engineering platforms. Keysight expands Eggplant AI. Keysight Technologies has added further AI capabilities to its Eggplant testing platform aimed at reducing maintenance across automated UI testing. The enhancements enable engineers to identify interface elements using natural language descriptions rather than brittle selectors, making automated tests more resilient as applications evolve. Applitools boosts autonomous testing. Applitools has expanded its autonomous testing capabilities, adding new AI-powered visual validation and test maintenance features. The company says the enhancements allow engineering teams to detect user interface changes more accurately while reducing false positives and ongoing maintenance effort. Visual AI continues to play an increasingly important role as AI-generated applications evolve more rapidly. Sonar deepens AI code assurance. Sonar has expanded its AI Code Assurance capabilities to help organisations validate software created by AI coding assistants. The platform combines static analysis, security scanning and code quality checks to identify defects before software reaches production, supporting organisations adopting AI-assisted development at scale. As AI accelerates coding, vendors increasingly see continuous verification rather than code generation as the key differentiator. This september in London. Why not become a QA Financial subscriber? It's entirely FREE Regulation & Compliance. Looking for more news on regulations and compliance requirements driving developments in software quality engineering at financial firms? Visit our dedicated Regulation & Compliance page here. Watch now. July 23, 2026 July 22, 2026 July 21, 2026 July 20, 2026 July 17, 2026 July 16, 2026

The SaaS News
Jul 16th, 2026
Meticulous raises $15M Series A.

Meticulous raises $15M Series A. Meticulous raises $15M Series A led by Chemistry to help developers test and trust AI-generated code across their software development workflows. Updated July 15, 2026 Meticulous, a London-based software company helping developers ship AI-generated code, has raised $15M in Series A funding. The startup provides tools to test and verify AI-generated code, addressing the bottleneck of manual review cycles and bugs in increasingly complex codebases. Investors. The round was led by Chemistry, a San Francisco-based venture capital firm. Additional investors participating in the round include Menlo Ventures, Lachy Groom, Jason Warner (Poolside), Arash Ferdowsi (Dropbox), Scott Belsky (Adobe), Guillermo Rauch (Vercel), Calvin French-Owen (OpenAI), Caitlin Colgrove (Hex), and Jason Ginsberg (Cursor). Meticulous use of funds. Meticulous plans to use the fresh capital to ramp up marketing efforts, moving beyond its previous reliance on word-of-mouth. The company will also invest in research and development to expand its testing capabilities from frontend to backend and performance testing, alongside growing its headcount from 20 to approximately 30 or 40 employees over the next year. About Meticulous. Founded by brothers Gabriel Spencer-Harper and Quentin Spencer-Harper, Meticulous aims to help developers trust AI-generated code to ship faster. The company analyzes codebases to create a checklist of edge cases, simulating user flows to identify potential failures before code is merged into production. Its customers include companies such as Notion, ElevenLabs, Dropbox, Wiz, and LaunchDarkly. Funding details. Company: Meticulous Raised: $15M Round: Series A Funding Date: July 15, 2026 Lead Investor: Chemistry Additional Investors: Menlo Ventures, Lachy Groom, Jason Warner, Arash Ferdowsi, Scott Belsky, Guillermo Rauch, Calvin French-Owen, Caitlin Colgrove, Jason Ginsberg Software Category: Software Testing/AI Source: https://sifted.eu/articles/ex-palantir-dropbox-elevenlabs-notion-wiz-ship-ai-generated-code/ Updated July 15, 2026

Sifted
Jul 15th, 2026
Ex-Palantir and Dropbox brothers raise $15M for Meticulous, helping Notion and Wiz ship AI code faster

London-based Meticulous has raised $15m in Series A funding led by San Francisco's Chemistry, with participation from Menlo Ventures. The startup was founded by brothers Gabriel Spencer-Harper and Quentin Spencer-Harper. Meticulous helps companies including ElevenLabs, Notion and Wiz deploy AI-generated code more quickly. The round was led by Ethan Kurzweil at Chemistry. The Spencer-Harper brothers previously worked at Palantir and Dropbox before launching Meticulous.

Meticulous
Feb 6th, 2023
Meticulous Announces $4 million Seed Round to Help Developers Make the World's Code Safe, Performant and Reliable | Meticulous AI

Meticulous, a Y Combinator startup, has closed a $4 million Seed Round to build the first automated front-end testing software for developers.