Tech Lead / Software Engineer
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Role details
Tech stack
Job description
As the Tech Lead / Senior Software Engineer for the Yobi Ad Platform, youâll be responsible for leading the design and implementation of the systems that power our real-time ML-based advertising stack. This is a senior role where you will own a major product bet, mentor other engineers, and drive architectural direction-while still spending more than half of your time building.
Requirements
- You have experience leading multi-person or even multi-team projects.
- You know when to empower/influence another person or team, and when to roll up your sleeves and implement it yourself
- Deep systems experience. Youâve built or scaled distributed, high-throughput, low-latency systems-ideally in advertising, recommendations, or another real-time domain.
- Strong with compiled languages. Youâre fluent in one or more of Go, Rust, C++, Scala, or Java, and write code with clarity, correctness, and performance in mind.
- Architectural ownership. You can design clean interfaces, modular service boundaries, and deployment patterns that scale with product and team growth.
- Operational maturity. You understand observability, alerting, and reproducibility, and you treat CI/CD and infrastructure as first-class citizens.
- Mentorship and leadership. You lead by example, elevate those around you, and turn ambiguity into clarity and action.
- Startup mindset. You balance strong technical standards with pragmatism-you know when to ship and when to refactor.
Benefits & conditions
- Competitive Base Salary
- Meaningful equity & financial upside - a real % of the company
- Annual bonus target based on personal and company performance
- Health, Dental, Vision available
- Unlimited PTO - we care about impact, not tracking days youâre out
- 401k with company match %, A reasonable estimate of the current base salary range at the time of posting is below. Base salary does not include other forms of compensation or benefits. Actual base salary within the specified range is comprised of several components, including but not limited to applicantâs skill, prior relevant experience, specific degrees and certifications, job responsibilities, market considerations and the location of the position.
Base salary range: $225,000-$300,000
About the company
Yobi is a rapidly growing Behavioral AI company on a mission to ethically democratize the benefits of data and AI.
Since 2019, we have built one of the largest consented behavioral datasets in the United States, extending far beyond the walled gardens of Big Tech. Unlike traditional LLM companies, Yobi builds foundation models of human behavior grounded in real-world actions such as purchases and store visits.
Our private-by-design modeling enables state-of-the-art personalization and decisioning for leading brands and agencies while protecting privacy, safety, and ethics.
Today, we are focused on bringing the performance of closed-web user acquisition to the open web and connected TV, giving brands walled-garden results without the walls.
At our core, Yobi is building the behavioral intelligence layer for any system that makes a personalization decision.
Working at Yobi
Weâre at an inflection point-customer adoption is accelerating, but thereâs still room to shape the architecture and culture from the ground up. Engineers here own major surface areas, build 0*1 systems in large-scale data and model infrastructure, and help define how Behavioral AI scales ethically and effectively.
Highlights:
- Well-funded with 5+ years of runway. At the same time, we are scaling revenue quickly and project to be breakeven in 2026.
- Partnerships with Microsoft and Databricks
- Fully remote or hybrid from several hubs (SF Bay Area, Seattle, NYC)
- World-class team of Machine Learning experts who worked on cutting edge infra and recommender systems @ Amazon, Uber, Twitter, Meta, etc.
- Product and Go-To-Market teams who have taken ideas from concept to 9 figure revenue streams
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
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