Clera
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This is a founding engineering role at an early-stage data infrastructure startup, working directly with the CTO to build core systems for extracting, analyzing, and visualizing web data at scale. You'll own large, meaningful pieces of the product — from autonomous agents to distributed backend services — powering enterprise customers who depend on structured, real-world web data every day.
Build autonomous agents that tackle real-world information extraction problems across diverse and unpredictable web environments.
Design and iterate on a full-stack, self-serve application that makes complex workflows intuitive for non-technical users.
Maintain and scale backend architecture to reliably handle thousands of requests per second and tens of millions of rows of data daily.
Contribute across the entire stack — infrastructure as code, ML pipelines, website updates, and whatever else moves the team forward fastest.
5+ years of professional experience shipping production software, or equivalent demonstrated skill in a 0→1 environment.
Proven track record launching meaningful products on small, early-stage teams with rapid iteration cycles.
Hands-on experience building LLM applications and agentic systems — including RAG, agent workflows, model evaluation, and fine-tuning.
Strong command of distributed systems design, including scaling tradeoffs for high-throughput, data-intensive workloads.
Full-stack capability spanning backend, frontend, and infrastructure-as-code.
Experience building user-facing, self-serve products with a focus on usability for non-technical audiences.
Deep domain knowledge in one or more of: antibot systems, reverse engineering, JavaScript deobfuscation, or browser automation.
Familiarity with web scraping, data extraction, or web automation at scale is a strong plus.
Bias toward action, comfort with ambiguity, and genuine enthusiasm for early-stage startup pace and ownership.
Salary range: $170,000–$220,000 USD annually. Visa sponsorship is available.
On-site in New York City, NY. This role requires in-person presence working alongside a tight-knit team.
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