Jobs at Zyte

Build and maintain Zyte’s cross-platform Rust peer runtime across Windows, Android, Linux, and eventually macOS. Integrate native networking stacks and OS APIs through FFI, support Android device farms, analyze network fingerprints, instrument fleet health, and improve reliability, security, and observability. The role includes expanding edge capabilities, participating in on-call rotations and post-mortems, and contributing to architecture and engineering standards.

Build and maintain Zyte’s cross-platform Rust peer runtime across Windows, Android, Linux, and future macOS platforms. Integrate native networking and operating-system APIs through FFI, support mobile device fleets, analyze network fingerprints, implement observability and fleet metrics, and improve security and reliability. The role includes production on-call responsibilities, architectural design, post-mortems, and collaboration with browser and anti-detection engineering teams.

Lead architecture and operation of Zyte’s distributed platform infrastructure, including control and context planes, Java and Python service libraries, Kubernetes deployments, inter-service contracts, Kafka pipelines, reliability systems, and automated releases. Define SLOs, lead technical architecture discussions, mentor engineers, participate in on-call rotations, and drive platform standards across multiple engineering squads.

Build and maintain AI-agent integrations, a Python and Node.js CLI, SDK packages, browser automation tools, cloud data-delivery connectors, and automation-platform templates. Publish packages through PyPI and npm, manage releases, testing, CI/CD, authentication, documentation, tracking, partner submissions, and ongoing maintenance. Collaborate with Product, Marketing, Developer Relations, and Platform teams to improve developer adoption and integration usage.

Lead Zyte’s self-serve growth and product-led growth strategy for developers, data teams, and AI builders. Own the website, application UI, and full funnel from signup through activation, paid conversion, expansion, and churn reduction. Define roadmaps, run experiments, analyze customer data, improve developer journeys, and coordinate marketing, product, engineering, design, sales, customer success, and RevOps around growth objectives.

The Data QA Engineer designs and owns quality approaches for customer data projects, combining manual, visual, exploratory, and automated testing. Responsibilities include validating extracted data, analyzing completeness and accuracy with statistics and charts, documenting defects, producing quality reports, clarifying requirements, and improving QA tooling and processes. The role collaborates with developers, project managers, clients, and QA leadership in an agile environment, using Python, Pandas, Jupyter, SQL, web technologies, and REST API testing.

Build and operate an internal agentic AI platform, integrating SaaS systems, APIs, data, permissions, and MCP tools. Develop production AI agents with retrieval, embeddings, evaluation, tracing, and cost optimization. Deploy cloud-based internal tools, establish AI development standards, support adoption across teams, and collaborate with technical and non-technical users.

Manage Zyte’s developer and enterprise event strategy, including event selection, sponsorships, speaking opportunities, Extract Summit US and EMEA, logistics, vendors, budgets, registrations, lead handoff, and CRM reporting. Partner with Sales, DevRel, Engineering, Product, and Marketing to execute events and measure pipeline impact. Travel is required for flagship and selected external events.

Design risk-based test strategies and build scalable automated coverage using Playwright, AI coding agents, and CI/CD pipelines. Develop agentic testing workflows, reusable automation frameworks, and AI-powered quality tools. Partner with cross-functional engineering squads to prevent defects, improve observability and release confidence, reduce flakiness, and increase automation coverage. Track quality metrics while enabling developers to integrate reliable automated testing into daily development workflows.

Architect and operate Zyte’s core platform, including control and context planes, service registries, inter-service contracts, Kubernetes infrastructure, Kafka pipelines, deployment systems, and reliability tooling. Lead distributed-systems architecture, define SLOs, manage canary releases and failover strategies, participate in on-call and incident reviews, and mentor engineers across multiple squads. Develop shared Java and Python libraries, standardized workload specifications, and platform best practices for globally distributed engineering teams.

Reverse-engineer advanced antibot and browser fingerprinting systems across JavaScript VMs, WebAssembly, and obfuscated code. Build automated tracing, deobfuscation, fingerprint-inspection, website intelligence, and AI-assisted reverse-engineering pipelines. Develop reusable tools and structured intelligence for engineers and AI agents, integrate capabilities into browser automation systems, and mentor teammates. The role requires strong JavaScript, Node.js, Python, reverse engineering, debugging, fuzzing, networking, operating systems, and browser security expertise.

Reverse-engineer web antibot and fingerprinting systems across JavaScript VMs, WebAssembly, and obfuscated code. Build automated tracing, deobfuscation, website intelligence, and fingerprint-analysis pipelines. Use LLMs and agentic tooling to accelerate investigations, feed AI systems structured intelligence, and convert discoveries into reusable tools. Collaborate with engineering on browser automation systems and mentor teammates in AI-assisted reverse engineering.

Lead Zyte’s self-serve product-led growth strategy across its website, application UI, and developer ecosystem. Own the funnel from signup through activation, conversion, expansion, and churn reduction. Set product priorities, design experiments, analyze customer data, improve developer adoption, and coordinate marketing, engineering, design, sales, customer success, and RevOps to drive acquisition and revenue growth.

Lead development of tooling and automation that scales reverse-engineering of anti-bot and fingerprinting systems across JS VMs, WASM, and obfuscated code. Build tracing, deobfuscation, and intel pipelines; use LLMs and agents to automate analysis; integrate results into AI systems and browser automation stacks; mentor engineers in AI-augmented reverse-engineering.

Lead automation and tooling for large-scale reverse engineering of antibot and fingerprinting systems across JS VMs and WASM. Turn manual investigations into repeatable pipelines, use LLMs and agents to deobfuscate and classify detection surfaces, feed AI systems with structured intelligence, and integrate tooling into browser/automation stacks while mentoring teammates.