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About Us At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data. For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data, quickly, dependably, and at scale. And today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web. The Integration Squad helps developers and data teams find, adopt and keep using Zyte for web data. We focus on coding agents and agent-based workflows. We make Zyte API and Scrapy Cloud easy to reach from the tools people already use: coding agents like Claude Code, Codex and Cursor; frameworks like LangChain and LlamaIndex; cloud platforms like AWS and Google Cloud; and later, automation and app-building tools. We measure success by how many customers use Zyte through these integrations, not by how many integrations we publish. We’re hiring an Integrations Engineer to help build this program from the start. You’ll build and publish integrations, including MCP-based setups, a Zyte command-line tool (CLI), framework packages and data-delivery connectors. You’ll also write the documentation that lets developers and their agents use them without help, and the tracking that shows whether they work. We employ agile methodologies and work in cross-functional pods, which lets us respond quickly to both community feedback and internal product needs. Roles & Responsibilities : • Build and publish integrations that bring Zyte into coding-agent environments (Claude Code, Codex, Cursor, Docker), building on the existing Zyte MCP server. • Design, build and release the Zyte CLI as a shared base for integrations, published to both PyPI and npm. • Build and maintain packages and tools for developer frameworks and agent SDKs (e.g. LangChain, LlamaIndex) and for browser automation tools. • Build recurring data delivery into customers’ cloud and data platforms (e.g. AWS, Google Cloud Storage and BigQuery, Snowflake), reusing existing export routes where possible. • Assess app and automation platforms (e.g. Dify, Flowise, Make, Zapier, Lovable, Replit). Prototype integrations or templates where they’ll lead to repeat Zyte use. • Give early engineering estimates of feasibility, effort, dependencies and upkeep for each candidate integration, to help decide what we build next. • Add tracking so signups and usage can be traced back to each integration, and report gaps where tracking isn’t possible. • Write clear setup guides, examples and docs that work for both people and coding agents, on docs.zyte.com and in public repositories. • Prepare and manage submissions to partner directories, registries and marketplaces, including responding to partner review feedback. • Maintain live integrations: keep up with changes in partner tools, fix issues, and handle releases and versioning. • Work with Product, Product Marketing and Developer Relations on launches, positioning and community support. • Work with the SaaS and Platform teams to keep the Zyte API and Scrapy Cloud surfaces that integrations rely on stable. • Take part in code reviews, planning and squad routines. Requirements • Strong Python skills and solid TypeScript/Node.js. You’ll publish packages in both ecosystems. • Experience building SDKs, client libraries, CLIs, plugins or third-party integrations used by outside developers. • Hands-on use of coding agents and AI tooling (e.g. Claude Code, Cursor, Codex), and familiarity with the Model Context Protocol (MCP) or similar tool-calling interfaces. • Experience publishing and maintaining packages (PyPI, npm), including versioning, CI/CD, tests and releases. • Good working knowledge of REST APIs and authentication, including keeping credentials secure in client and server setups. • An outcome-focused mindset: you care whether developers adopt and keep using what you ship, and you use data to decide what to improve. • Clear writing in English. Documentation and examples are a core part of the job. • Comfortable with ambiguity and early-stage scoping in a new squad. • Experience in a distributed, remote-first team is a strong plus. • Experience with LangChain, LlamaIndex or agent SDKs is a plus. • Experience with AWS or GCP data services (S3, Cloud Storage, BigQuery) or Snowflake is a plus. • Familiarity with web scraping, Scrapy or browser automation (Playwright, Selenium) is a plus, but not required. • Open-source maintenance or Developer Relations experience is a …

About the Role Zyte is looking for a Quality Engineer to join our unified Quality Engineering function. This is an automation-first, AI-native role embedded directly within our engineering squads. You will be responsible for designing risk-based test strategies, rapidly converting them into automated checks using AI-assisted development workflows, and continuously improving the quality, speed, and reliability of software delivery. Quality at Zyte is not a gatekeeping function. It is an engineering discipline focused on preventing defects, accelerating delivery, and increasing confidence in every release. AI coding agents are a core part of how we work. You will be expected to use Claude Code or equivalent AI-assisted development environments as your primary development partner for generating, reviewing, debugging, refactoring, and maintaining automation code. What You Will Do • Design risk-based test strategies for new features and releases, then rapidly convert those strategies into automated coverage using AI-assisted development workflows • Use Claude Code within VS Code or equivalent AI coding agents as your primary development environment to generate, scale, and maintain automated test coverage • Build and maintain automated test suites using Playwright, integrated within GitHub CI/CD pipelines, ensuring quality gates are embedded throughout the software development lifecycle • Design and implement agentic testing workflows that generate, adapt, and maintain automated tests using AI models and APIs • Build reusable frameworks, utilities, shared libraries, and AI-powered tools that increase test authoring velocity across engineering teams • Partner closely with engineers, product managers, and designers to shift quality left, influencing requirements, design decisions, observability, and deployment strategies • Continuously improve test suite health by reducing flakiness, increasing execution speed, and ensuring reliable quality signals for every release • Drive quality upstream by identifying risks early and implementing preventative quality practices • Own and improve quality metrics including automated coverage growth, escaped defects, test execution performance, flakiness rates, and release confidence • Enable developers to write, execute, and maintain automated tests as part of their daily workflow Requirements What We Are Looking For • Strong software engineering fundamentals, with the ability to review, validate and debug code across any modern programming language • Strong experience with modern test automation frameworks, preferably Playwright • Demonstrated ability to use AI coding agents as a primary development partner for generating, reviewing, debugging, refactoring, and maintaining code • Comfortable delegating significant portions of implementation work to AI agents while maintaining high engineering and quality standards • Experience building and maintaining scalable automation frameworks • Experience integrating automated test suites into CI/CD pipelines using GitHub Actions or similar platforms • Experience with agentic testing frameworks, AI-powered testing tools, or LLM API integrations within engineering workflows • Proven track record of increasing automation coverage, reducing manual effort, and improving software quality outcomes • Strong understanding of quality engineering principles, test strategy, risk analysis, and defect prevention • Comfortable working as an embedded engineer within cross-functional product squads • Strong communication skills with the ability to provide concise, actionable updates and collaborate effectively across teams • Curiosity, adaptability, and a growth mindset toward emerging AI technologies and engineering practices Nice to Have • Experience testing AI-powered products, agents, or LLM-based applications • Experience designing evaluation frameworks for AI-generated outputs • Familiarity with prompt engineering, AI quality assessment, and AI observability • Experience with performance, load, or resilience testing • Experience with test management platforms integrated with Jira • Experience building internal developer platforms, testing tools, or engineering productivity solutions Success in This Role Within your first six months, you will: • Increase automated regression coverage for your squad • Reduce manual testing effort sprint over sprint • Build reusable automation components adopted by multiple teams • Demonstrate effective use of AI agents to accelerate automation development and maintenance • Improve release confidence while supporting fast, reliable software delivery • Contribute to a culture where quality is owned by the entire engineering team

Why Zyte? At Zyte, we don’t just collect web data—we solve complex web data challenges at scale. We are a globally distributed team that is bold, curious, and dedicated to building innovative ways to deliver clean, reliable web data from across the internet. • Data is our passion: We unlock access to open web data, empowering organizations—from startups to global enterprises—to power competitive intelligence, analytics, and AI pipelines. • Remote-first culture: Work from anywhere in the world. With over 260 Zytans across 33 countries, our strength comes from diverse backgrounds, perspectives, and skills. • Engineering excellence: We love diving deep into complex code bases, evaluating emerging technologies, and pushing technical boundaries. If you thrive on creative problem-solving and reliably delivering production-grade solutions, you will fit right in. • Established system design framework: We systematically analyze functional and product requirements alongside architectural trade-offs to make informed, sustainable design decisions. • Real-world distributed systems challenges: Tackle rare engineering problems in custom networking, high-throughput streaming, and large-scale orchestration under real-world operational constraints. • Strong product ownership: Work on a profitable, market-leading platform with dedicated time and resources allocated for architectural research and strategic feature engineering. Why This Role? Zyte API powers a suite of Java and Python microservices running across multiple cloud providers and data centers. Every engineering team—spanning Core API, Browser, Edge, Antiban, AI, and Agentic products—relies on foundational infrastructure managed by our team: Kubernetes clusters, high-throughput Kafka pipelines, billing engines processing per-request metrics, and robust inter-service contracts. We are evolving Zyte API into an automated software factory: a platform where developers and AI agents seamlessly create, validate, deploy, and maintain data extractors and workflows through governed interfaces. Two foundational layers drive this evolution. The control plane (service/schema registries, health-aware routing, automated canary releases) is actively under deployment. The context plane, which synthesizes observational signals to guide automated repair and optimizations, represents our next major design effort. As a Staff Engineer, you will own both architectures, setting the engineering standard for how services at Zyte are designed, built, and operated. You will be the technical lead in the Core & MLOps squad, collaborating closely with the Team Lead, Senior Engineers, DevOps, and QA, while directly influencing the release velocity and architecture of five neighboring squads. Requirements What You’ll Do • Architect the control and context planes. Advance the control plane (service registry, schema registry, SLO enforcement, CLI tooling) into a robust production substrate. Design and build the context plane to aggregate operational signals—such as domain extraction histories, IP reputation scores, and BigQuery cost/performance telemetry—creating automated feedback loops between intent, execution, and self-healing maintenance. • Own the service chassis and golden path. Maintain and refine multi-language client libraries (Java and Python), standardized workload specifications, Helm charts, and deployment pipelines, driving seamless adoption across all product teams. • Define inter-service contracts. Establish gRPC and Protocol Buffer definitions, API gateway transcoding, versioning policies, and schema evolution rules to enable autonomous, safe deployments across teams. • Operate the platform substrate. Partner with infrastructure engineers to run Kubernetes (across OCI, Hetzner, Servers.com, and GCP), Terraform, HAProxy/Nginx ingresses, Confluent Kafka, real-time event-billing pipelines, Valkey, and ongoing database modernizations (MySQL to PostgreSQL). • Drive architectural strategy via RFDs. Lead Requests for Discussion (RFDs) on critical platform initiatives, including durable workflow orchestration (Temporal/DBOS), per-request gateway orchestration, multi-cluster routing, and automated failover. • Institutionalize reliability engineering. Establish clear SLOs and error budgets for core capabilities, implementing health-aware traffic isolation and automated weighted canary deployments to eliminate manual release bottlenecks. • Share production ownership. Participate in the shared infrastructure on-call rotation, lead incident post-mortems, and translate operational lessons into platform improvements. • Elevate engineering standards. Mentor engineers across squads on distributed systems design, review system proposals, and establish intuitive best practices that make building reliable software effortless. Who You Are • 10+ years of experience building scalable distributed backend systems, with a proven track record of authoring internal platforms or core …

About Zyte Zyte is a leader in web data extraction. Our full-stack Zyte API and world-class data services help thousands of companies, from individual developers to global enterprises, turn the web into reliable, structured data. We're a remote-first, globally distributed team that ships fast and lets results speak. This is a transformative moment for web data, and AI is reshaping both sides of the market. The world needs web data more than ever: to train models, power agents and feed AI applications, so the audience for web data is exploding - creating new personas and new buying journeys almost overnight. At the same time AI is changing how that data is collected - from manual work by engineers to automation with AI. Zyte is unique in solving both challenges of web data - the software needed for reliable access to websites and the AI and skills needed to turn web content into structured data. We have an important mission in the AI revolution. The role We're hiring a Senior Growth Product Manager to lead our self-serve acquisition and growth journeys across the channels used by personas hungry for web data. Our users are engineers, data teams and the builders of AI agents, and your job is to understand what they seek, what they try first and what convinces them to stay. You'll lead conversion and growth across channels: our website, agents an the developer ecosystem. You'll be product owner for the website and application UI and will take a data driven approach to customer acquisition and growth, from traffic through trial, activation and subscription, right up to an account-managed relationship. Our goal is to engage 500,000 developers next year who need web data and this role is central to converting them. In this role you'll shape the rhythm of funnels and experiments, ideating and iterating with a talented team on how we can improve experiences, find truths in data and build on the insight of customers to figure out the next growth step. You'll be fascinated by how engineers evaluate tools, how AI is changing the way they build and what it takes to earn their trust. You'll work to explode an audience in a market that is itself exploding, and to be able to point at the growth curve and say "I did that". What you'll do Manage the self-serve funnel end-to-end. Define, measure and improve every stage: signup, trial, activation, conversion to paid and expansion. Be product owner for the website and product UI. Set the roadmap and priorities for our web presence and platform UX, working directly with the development lead, engineers and designers to ship improvements that capture demand and drive funnel activity. Optimise the funnel as a conversion mechanism - design and run experiments, work closely with our design and product marketing teams on formats, copy and narratives for conversion. Optimise PLG journeys that start in the developer ecosystem. Optimise the buying journeys that begin in open source and in the emerging ecosystems of agents, turning developer adoption and ecosystem presence into activation and growth. This means deeply understanding developer workflows: docs, SDKs, code examples and the first ten minutes of hands-on experience. Build intelligent customer data and nurture growth. Build customer data based on usage and firmographics, and use this to nurture customers for growth with tailored onboarding, relevant content and (with our RevOps function) identify when our sales professionals should reach out and make contact. . Run a rigorous experimentation practice. Develop hypotheses, ship A/B tests and funnel experiments, and report results honestly, doubling down on what works and killing what doesn't. Requirements • Proven results driving growth and managing funnels in a B2B SaaS or developer-focused business with a self-serve or PLG motion. • A deep curiosity about how engineers work and adopt tools. You've marketed or built for technical audiences and know that developers don't respond to marketing; they respond to products that respect their time. • Experience with developer tools, APIs, data products or technical audiences. • You prototype your own ideas: you use AI coding tools to vibe-code experiments, mockups and working demos rather than waiting for engineering capacity. • A track record of making websites effective engines for capturing demand and driving funnel activity; you've owned conversion, not just traffic. • Demonstrated success in customer growth and nurture: activation, free-to-paid conversion, expansion and churn reduction. • Intelligent, practical use of data: comfortable defining metrics, instrumenting funnels, segmenting customers and combining product signals with messaging and human outreach. • Experience working as a product owner or growth PM with engineering and design teams: writing clear requirements, prioritising ruthlessly and shipping iteratively. • Strong cross-functional collaboration skills; you can align marketing, product, CS, …

At Zyte, we're pioneering the next revolution in web data extraction, empowering businesses to focus on innovation. Companies often struggle with challenges like navigating dynamic web structures, countering anti-scraping measures, and ensuring data accuracy. We tackle these obstacles by providing best-in-class tools for seamless, reliable web data extraction. With over a decade of expertise, we've become the trusted solution for over 3,000 companies and a million developers, helping them achieve a competitive edge and drive sustainable growth. We are a diverse and enthusiastic team of data nerds, tech aficionados, and hackers. At Zyte, you'll join an inclusive community where everyone belongs. We thrive on collaborating with our smart, passionate teammates and customers to solve complex problems in data science and engineering. Join us and be part of the data revolution! About the Job Reverse engineering is at the heart of how Zyte stays ahead in the banning war. We've cracked some of the hardest antibots on the web — but the ground shifts weekly: antibots ship new sensor formats overnight, obfuscation schemes mutate, and new fingerprinting surfaces appear faster than any team could chase by hand. This role is not about solving tickets one at a time. It's about building the tools, pipelines, and automation that let both engineers and AI agents solve them at scale. You will be the person who turns a reverse-engineering breakthrough into reusable tooling, who automates the investigation that used to take days into a readout that takes minutes, and who feeds the intelligence our AI systems learn from. You'll work at the intersection of deep JS/VM reverse engineering and modern AI-assisted engineering — using LLMs and agentic tooling aggressively to compress the loop between "new detection surface discovered" and "solution shipped." If you're energized by wielding AI to multiply your own output, by automating away manual toil, and by working on problems where the adversary is smart and the target moves — this is the seat. Requirements Roles & Responsibilities • Reverse-engineer the hardest antibot and fingerprinting systems on the web, across JS VMs, WASM, and polymorphic/obfuscated code. • Build the JS function tracing, deobfuscation pipelines, and fingerprint-inspection tooling that turn manual reverse-engineering investigations into fast, repeatable, largely automated workflows. • Use AI aggressively — LLMs, agents, and custom automation — to deobfuscate, classify, and diagnose detection surfaces, and to rapidly prototype and ship tooling that previously would have taken weeks. • Build and maintain website intel pipelines with checkpointed history, so that when an antibot ships an update we diff against a known-good baseline instead of rediscovering the problem from scratch. • Feed our AI reverse-engineering and ban-resolution systems the context, signals, and structured intelligence they need to autonomously resolve the majority of cases. • Codify one-off reverse-engineering wins into durable capability — tools, rules, and pipelines usable by other engineers and by AI agents alike. • Collaborate across engineering to fold your tooling into the custom browser and automation stack, and mentor others in AI-augmented reverse-engineering technique. Requirements • A hacker mindset — able to rapidly develop proof-of-concepts and working tools to get to a result, and comfortable with the inherent uncertainty and open-endedness of the work. • Demonstrated use of AI tooling (LLMs, coding agents, automation) to accelerate your own engineering, with a strong instinct for what to automate and when. • Strong proficiency in JavaScript/Node.js and Python, with a broad programming background and exceptional problem-solving ability. • Strong research, debugging, fuzzing, and reverse-engineering skills, including static, dynamic, and concolic analysis. • Hands-on experience reversing JavaScript VMs, WASM, and heavily obfuscated or polymorphic code. • A deep understanding of operating systems and computer networking concepts. • Adept with tools such as Wireshark, Burp Suite, and similar for intercepting and debugging network traffic. • Understanding of browser engines, browser fingerprinting, and antibot/anti-scraping mechanisms. • Approach prioritization logically and with a measurement-backed strategy, and thrive in a collaborative environment. Bonus points for • Experience with reverse-engineering tools like IDA, Ghidra, Frida, or Babel. • Experience building tooling or pipelines that feed machine-learning or AI systems. • Experience with C/C++ and Rust. • Core contributions to Mozilla or Chromium projects. Benefits By joining the Zyte team, you will: • Become part of a self-motivated, progressive, multi-cultural team • Have the freedom and flexibility to work from where you do your best work • Attend conferences and meet with team members from across the globe • Work with cutting-edge …