Staff Backend Software Engineer - Performance Ajouter aux favoris
- CTV performance advertising is still being invented. The auction dynamics, identity graph, and feedback loops are nothing like display or search. There's no playbook to copy you'd be writing it.
- You own the full decision loop. From prediction to bid price to pacing, on a product real advertisers depend on today. Your judgment shapes the direction. You'll see the impact in the numbers within weeks.
- The timing is right. Past "does this work?" and into "how fast can we scale this?" Early enough to shape the architecture. Late enough that you're not building on sand.
- Go deep on the bidder and pacer stack map it end-to-end and identify at least one fragility worth owning on day one
- Propose improvements to the bidder or pacer autonomously from problem definition through to design proposal
- Ship measurable improvements to CPx, pacing accuracy, or win rate within your first three months
- Distribute critical system knowledge: make the team faster and less dependent on any single person
- Challenge existing designs, including inherited ones, and push for cleaner solutions
- Deepen expertise in the theoretical foundations (probabilistic modelling, PID control theory) powering our approaches
- Use AI tooling as a genuine force multiplier (not a crutch, not a checkbox)
- Iterate in production, not in your head, we - ship, measure and adjust
- Shipped backend systems in a strongly typed language C++, Rust, Go, Scala, Java, or equivalent at production scale
- Debugged distributed systems under real traffic: latency issues, consistency failures, the works
- Worked inside a DSP, SSP, or bidder: you understand auction mechanics from the inside
- Built or tuned pacing algorithms or PID controllers theory and implementation, not just awareness
- Solid grounding in probabilistic reasoning and statistical modelling you think in distributions, not just averages
- Experience in a scale-up environment you know what fast and resource-constrained actually feels like
- ML systems in production: feature pipelines, model serving (not just training notebooks)
- Real-time data pipelines and low-latency architectures at scale
- Redis, Kafka, or equivalent under meaningful load
- Equity - Employee Stock Ownership Plan. You're building this; you should own part of it.
- Variable pay - based on objectives you hit. No arbitrary targets.
- Hybrid flexibility - We're in the heart of Paris and our team is in 3x a week!
- Health insurance - Full coverage via Alan.
- Meal vouchers - Via Swile.
- Annual offsite - The whole team, once a year, somewhere worth the trip.
- Tech Syncs - Engineering and Product meet in person at least quarterly, worldwide.
- Recruiter screen - 30 min. We'll share context; you'll share yours.
- Manager interview - Meet the person you'd work with directly.
- Technical Coding Interview and Systems Design Interview
- Calibration interview - A senior leader joins to ensure we're holding a consistent, high bar.
- Offer - Fast. We don't let good decisions sit.
- Reference checks - Two calls, handled with discretion.
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