Clera
Forward Deployed Engineer
About this role
Join an early-stage data infrastructure startup as a founding Forward Deployed Engineer, bridging customer needs and product development. You'll own complex web scraping and data extraction challenges for major clients, manage scraping engineers, and shape the function from the ground up while translating customer insights into product roadmap priorities.
What you'll do
- Partner with key customers to diagnose and resolve web scraping and data extraction challenges
- Manage end-to-end customer request lifecycle from intake through successful delivery
- Lead and support scraping engineers building and maintaining data pipelines
- Translate customer feedback and frontline context into actionable product requirements and roadmap input
- Define, document, and scale the Forward Deployed Engineer function as the company grows
- Drive customer satisfaction and retention through hands-on technical delivery
What they're looking for
- Web scraping frameworks (Selenium, Puppeteer, BeautifulSoup, Scrapy)
- Data extraction systems design and infrastructure at scale
- Bot detection evasion and anti-scraping mitigation techniques
- Request infrastructure and HTTP protocol knowledge
- Engineering management and mentoring
- Solutions engineering or technical account management
- Data quality assurance and validation pipeline design
- Software systems architecture and debugging
Benefits
- Founding engineer role with significant opportunity to shape team and function
- Direct impact on product roadmap and company direction
- Work with major customers and data-driven decision makers
- Early-stage startup equity opportunity (implied)
- Based in New York City with on-site presence
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Clera
Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.
View all jobs at CleraLikely interview questions
- Walk us through a complex web scraping or data extraction system you built at scale—what were the biggest technical challenges and how did you solve them?
- Tell us about a time you translated a customer's business problem into a concrete technical solution. How did you validate that it solved their underlying need?