Lead Data Engineer

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November 4

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Yobi

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AI • SaaS • Enterprise

Yobi is a revolutionary AI platform that augments human capabilities to enhance business communications and productivity. The company's platform integrates seamlessly into existing operational workflows, allowing users to manage all their communications, including SMS, voice calls, and social media messages, from a unified inbox. Yobi utilizes AI-driven features such as sentiment analysis, real-time transcriptions, and automatic language translation to improve customer service and streamline operations. It caters to various industries with tailored AI teammates, offering solutions like virtual receptionists and podcast hosts. Additionally, Yobi ensures seamless integration with popular business applications like Salesforce, Slack, and HubSpot, enhancing enterprise functionality and collaboration through superior human-AI partnerships.

11 - 50 employees

☁️ SaaS

🏢 Enterprise

💰 $2.4M Seed Round on 2023-02

📋 Description

• As the Lead Data Engineer at Yobi, you will be at the center of how data moves, scales, and powers our Behavioral AI products. • You will be working on various virtual teams and projects, with an eye towards schema modeling, orchestration, abstractions, workload efficiency, reliability/observability, and so on. This is a hands-on engineering role.

🎯 Requirements

• You think in systems. You’re comfortable designing data workflows that balance clarity, modularity, and performance. • You’re flexible and opinionated. You’re familiar with many different patterns for instrumenting data pipelines - push based, pull based, eventually consistent, 1 job per partition, batch, streaming, etc. and know when to reach for different patterns. • You’re ready to influence and lead, aligning other flexible and opinionated engineers from other domains on the right conventions, abstractions, and strategy in an ambiguous and evolving environment. • You have the hard skills. While we are big believers in “hire the person, not the specific language background”, our current data stack is Delta Lake, Scala Spark, Python Spark, and Airflow - it would be great if you have direct experience with at least some of these. • You sweat the details. Schema evolution, data contracts, dependency graphs, metadata tracking — you know these are what make data reliable at scale. • You’re pragmatic - you know when to polish and when to just ship. • You care about performance. Wall clock time matters for us. Cost also matters for us. We think in many projects, there are opportunities to win on both, with the right data engineering.

🏖️ Benefits

• Competitive Base Salary • Meaningful equity & financial upside - a real % of the company • Annual bonus target based on personal and company performance • Health, Dental, Vision - most plans will pay little to 0 out of pocket • Unlimited PTO - we care about impact, not tracking days you’re out • 401k with company match %