5+ YOEFaire needs candidates with 5+ years of engineering experience, proficiency in Java, Kotlin, or JavaScript, and experience with data pipelines. They should understand how ML or LLM outputs fail in production and be skilled at designing experiments.
8+ YOE3+ MgmtCandidates need 8+ years of engineering experience, including 3+ years in engineering leadership, and experience building and operating data platforms at scale. Strong hands-on Python and SQL skills, a track record of developing engineers, and clear communication with technical and non-technical partners are required.
Candidates need a passion for programming and security automation, experience writing and reviewing OOP code in Java, Python or TypeScript, and a solid grasp of web application security including OWASP Top 10. A bachelor's degree or equivalent industry experience and experience with cloud platforms such as AWS or GCP are also needed.
Candidates need hands-on operational ownership of a CDN or edge security platform such as Cloudflare, Akamai, Fastly or AWS WAF, plus experience defending a high-traffic site against scraping and DDoS. They need working knowledge of bot detection signals, layer 7 rate limiting, quantitative detection measurement, and coding in Kotlin, Java, Python or TypeScript.
7+ YOECandidates need 7+ years of software engineering experience, including 3+ years as a technical leader, and deep experience building and scaling ad formats or similar content delivery systems. Strong backend system design, product sense and AI tooling skills are expected.
Candidates need extensive software engineering experience building experimentation or analytics platforms, especially in marketplace or e-commerce settings. They need deep knowledge of A/B testing and progressive delivery, and strong SQL skills.
Candidates need deep experience running data infrastructure at scale, including change data capture, streaming ingestion, lakehouse architectures on open table formats, and Spark. They must also have strong SQL, Python, and AWS and Terraform skills, plus a track record of leading cross-team data initiatives.
3+ YOECandidates need 3+ years building production ML systems, ideally in search, recommendations or retrieval and relevance. They need strong Python, experience shipping models that serve real traffic, and depth in modern retrieval such as dual encoders, ANN serving and learning-to-rank.
5+ YOECandidates need 5+ years building and shipping production ML or AI systems, including hands-on work on the applied science side. They also need experience shipping LLM-powered agent features, strong data science skills and cross-stack engineering range.
2+ YOECandidates need 2+ years of full-time software engineering experience shipping production products, strong product judgment, and AI tools in their daily workflow. A background in ads, analytics, or data engineering is also required.
Reporting, Data engineering, Warehouse operations, React, Computer technology
4+ YOECandidates need 4+ years of production software experience in a marketing, growth or GTM setting, SQL skills, and depth in a marketing platform such as Braze, Segment or a Google or Meta ad API. They must have experience putting LLMs into production with evals and monitoring, and a record of owning systems including on-call.
Candidates need prior customer service experience, ideally in phone support, with strong verbal communication and problem-solving skills. They must also be comfortable with CRM tools, self-managed in a remote setting, and able to meet the stated home office and internet requirements.