Senior Software Engineer

About Vibe

At Vibe.co, we're reimagining how brands reach audiences in the age of streaming. We believe streaming TV is no longer just a brand awareness play, it's the next great performance marketing channel. We're building the infrastructure to unlock this $100B opportunity.

Vibe.co provides an Audience First Streaming TV Advertising solution for marketers to unlock TV as a growth channel. Our all-in-one solution combines hyper-targeted audience segmentation, AI-powered insights and recommendations, real-time campaign optimization, and incrementality measurement, giving brands of all sizes the precision and transparency they've come to expect from social and search, but on TV.

Trusted by over 10,000 brands, Vibe.co reaches more than 120 million households across 500+ apps and channels, delivering an average 250% return on ad spend and 20% sales lift. The company hit a $100 million revenue run rate in under two years, ranking among the ten fastest software companies to reach that milestone.

Vibe.co's investors include Hedosophia (an early backer of Spotify, Uber, and Airbnb), Elaia, Singular, QuantumLight (Revolut CEO Nik Storonsky's fund), and Illusian (Supercell CEO Ilkka Paananen's fund), as well as angel investors including Carolyn Everson, board member of The Walt Disney Company and Coca-Cola. Nirav Tolia, CEO of Nextdoor, sits on the company's board of directors.

Founded in 2022, Vibe.co is widely recognized as the category-defining platform in streaming TV advertising, bringing the power of Meta and Google-style performance marketing to the fastest-growing segment in media.

About the Role

You’ll join the Data team, the backbone behind every data-driven decision at Vibe, from internal operations to the reporting our advertisers check every day. The team runs three interlocking stacks: a batch platform that feeds Product, Sales, Finance, and ML; a real-time streaming layer that powers spend tracking and retargeting; and a reporting stack built on ClickHouse Cloud and Cube that serves sub-second analytics through Vibe's Clear platform. This role exists because bid, win, and impression volumes are growing as fast as the business, and the platform needs an owner who can turn that scale into reliable, cost-efficient infrastructure rather than a growing pile of incidents. You’ll get end-to-end ownership of systems the business can't run without, direct influence over the tools every data, ML, and analytics engineer at Vibe uses daily, and a mandate to treat performance and cost as core engineering problems, not afterthoughts.

What You'll Do

Platform & Services Ownership

• Design and operate real-time event processing on Kafka at production scale

• Build and run batch orchestration pipelines on Dagster

• Own the serving path into ClickHouse Cloud from ingestion through query

• Drive projects end-to-end from stakeholder requirements through post-launch iteration

• Set architecture decisions on partitioning, materialization, retention, and compute sizing

Developer Enablement & Tooling

• Build orchestration patterns and testing frameworks the whole team relies on

• Establish CI/CD and data contracts that reduce manual review overhead

• Turn recurring one-off fixes into reusable, documented building blocks

• Design self-serve infrastructure that teams adopt without being told to

Reliability & Operational Excellence

• Build alerting and dashboards that catch issues before users feel them

• Set SLOs that reflect real business risk, not vanity metrics

• Lead incident response during on-call rotations

• Write runbooks and automation that shorten and reduce pages

• Anticipate scaling limits before bid/win log growth turns them into incidents

Performance & Cost Optimization

• Profile and optimize services across Kafka, Spark, DuckDB, and ClickHouse

• Treat compute and storage spend as a first-class engineering metric

• Lead cost reviews on the platform's most expensive systems

• Instrument the platform to catch cost regressions early

Cross-Team Partnership

• Translate ambiguous requests from data, ML, and product engineers into concrete deliverables

• Push back on requests that aren't ready or aren't the right approach

• Influence upstream teams on schema, semantics, and SLAs

• Brief senior stakeholders on tradeoffs and decisions, not implementation detail

What You Need

• 5+ years building and operating distributed, data-intensive systems in production

• Strong programmi