Location: Remote, Americas time zones preferred
Compensation: $180K–$290K base + meaningful early-stage equity
Company stage: Series A, ~40-person team
Employment type: Full-time

About the Company

We are a fast-growing AI infrastructure and developer tools startup building APIs that help developers extract clean, structured, LLM-ready data from the web.

Our product is already used by a large developer community and has reached significant revenue traction quickly. We are backed by top-tier investors and are growing a small, high-ownership engineering team.

This is a rare opportunity to join early, own a critical product surface, and directly shape infrastructure used by developers building AI applications.

About the Role

We are looking for a Product Engineer to own our core web extraction endpoint end-to-end.

You will be responsible for making it easier for developers to turn any URL into clean, reliable, structured data. This includes improving scraping reliability, handling JavaScript-heavy sites, reducing noisy output, improving markdown/JSON quality, and making the API feel simple, fast, and dependable.

This is not a narrow backend role. You should be comfortable making product decisions, designing API behavior, implementing the work yourself, measuring impact, and iterating quickly without needing a PM to define the roadmap.

What You’ll Do

• Own a flagship developer-facing API endpoint end-to-end across reliability, latency, response quality, and edge cases.
• Improve scraping and extraction performance across JavaScript-heavy SPAs, dynamic content, anti-bot walls, and other messy web environments.
• Build and refine structured extraction workflows, including schema-based extraction, JSON output, and prompt-based extraction.
• Make thoughtful API and developer experience decisions around response formats, errors, documentation, latency, and cost tradeoffs.
• Dogfood the product, analyze support tickets, GitHub issues, and developer feedback, then turn that signal into shipped improvements.
• Run fast product experiments: form a hypothesis, instrument it, ship it, measure results, and decide quickly.

What We’re Looking For

• 3+ years of experience shipping production software, ideally at an early-stage startup or developer tools company.
• Strong backend engineering ability with full-stack/product instincts.
• Hands-on experience with web scraping, crawling, browser automation, data extraction, or web infrastructure.
• Familiarity with tools or concepts such as Playwright, Puppeteer, Chromium, Crawlee, Scrapy, Apify SDK, headless browsers, anti-bot systems, JS rendering, HTML parsing, or stealth techniques.
• Strong TypeScript and/or Node.js experience.
• Experience building or operating production APIs under real usage.
• Good instincts for what makes scraped or extracted data clean, useful, and LLM-ready.
• Comfort making tradeoffs across quality, latency, reliability, cost, and developer experience.
• High ownership, fast execution, and the ability to define what “good” looks like without a PM or designer.

Nice to Have

• Experience building developer-facing APIs, SDKs, or infrastructure products.
• Open-source contributions to scraping, crawling, browser automation, or data extraction projects.
• Experience with observability tools such as Datadog, Sentry, OpenTelemetry, Elastic, or similar.
• Experience building on top of LLMs or designing data pipelines for AI applications.
• Prior founding engineer, early engineer, or startup experience.

Why Join

• Own a core product surface used by a large developer community.
• Join a small, high-velocity team with direct founder access.
• Work on hard, real-world infrastructure problems at the intersection of web data, APIs, and AI.
• Competitive compensation, meaningful equity, and remote flexibility across Americas time zones.
• Help define the best-in-class developer experience for turning the web into clean, usable AI-ready data.