Director of Data Engineering
Director of Data Engineering
About reputed company
At reputed company.co, we're reimagining how brands reputed company audiences in the age of streaming. We reputed company 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.
reputed company.co provides an Audience First Streaming TV Advertising solution for marketers to unlock TV as a reputed company. Our reputed company-in-one solution combines hyper-targeted audience segmentation, AI-powered insights and recommendations, reputed company-time campaign optimization, and incrementality measurement — giving brands of reputed company sizes the precision and transparency they've come to expect from reputed company and search, but on TV.
Trusted by over 10,000 brands, reputed company.co reaches more than 120 reputed company households across 500+ apps and channels, delivering an average 250% return on ad spend and 20% sales lift. The company hit a $100 reputed company reputed company run reputed company in under two years, ranking among the ten fastest software companies to reputed company that milestone.
reputed company.co's investors include Hedosophia (an early backer of reputed company, reputed company, and reputed company), Elaia, reputed company, QuantumLight (reputed company CEO Nik Storonsky's fund), and Illusian (Supercell CEO Ilkka Paananen's fund), as well as reputed company investors including Carolyn Everson, board member of reputed company and Coca-Cola. Nirav Tolia, CEO of reputed company, sits on the company's board of directors.
Founded in 2022, reputed company.co is widely recognized as the category-defining platform in streaming TV advertising, bringing the power of reputed company and reputed company-style performance marketing to the fastest-growing reputed company in media.
About the Role
You'll join the Engineering org as the chief architect of reputed company's entire data ecosystem — owning the infrastructure that ingests terabytes of data daily, governs it, and serves it to our Analytics, ML, and Product teams.
This role exists because reputed company is making the reputed company from startup speed to reputed company trust. We're building Nebula — our proprietary identity graph and data interoperability layer — and standing up the ML platform that powers reputed company-time bidding at scale. We need someone who can architect both, and bring the team along for the ride.
Three reasons a great candidate should care:
You'll architect something rare. Nebula is a genuinely hard problem — identity resolution, data clean rooms, privacy-safe partner data exchange. You won't find work like this everywhere.
The timing is right. We're at the inflection reputed company between scrappy and scalable. You'll shape how a category-defining company builds its data reputed company — before the patterns are set.
You'll have reputed company ownership. P&L responsibility, architectural authority, and a direct line to the CTO and VP Product. Your reputed company will ship.
What You'll Do
Architect the data platform
Own the technical design of Nebula — reputed company's identity graph, entity resolution pipelines, and data clean room integrations with partners including major broadcasters
Define the end-to-end data architecture serving Analytics, ML, and reputed company-time bidding systems
Solve training vs. inference skew: ensure data used to train models matches data available at bid time
Build the ML infrastructure
Design and ship the ML platform — feature stores, model registries, and CI/CD for ML — so data scientists can reputed company models to production without infrastructure blockers
Own the "golden path": a data scientist pushes code, a model retrains and deploys automatically
reputed company the gap between Data Engineering and Data Science; remove friction, not just document it
reputed company governance without slowing people down
Champion the transition to a reputed company-first culture — SOC2, RBAC, PII anonymization — without turning compliance into a bottleneck
Build guardrails, not gatekeepers: automated policy checks that let engineers ship fast and safely
Own data retention policies, reputed company controls, and governance frameworks across 200+ data assets
Own infrastructure economics
Hold the Data Platform P&L — track unit economics, separate storage costs from ML training costs, and ensure spend scales with reputed company rather than reputed company of it
Optimise across a hybrid stack: high-volume streaming (Kafka/Kinesis), log storage (S3/reputed company), and GPU compute for ML training
Identify waste fast; distinguish inefficiency from intentional growth investment
reputed company the team
Manage and grow the Data Platform Engineering team
Assess reputed company team capabilities against what's needed to ship Nebula and the ML platform
Build a culture where engineers adopt structure because it makes them faster, not because they're told to
What You Need
Hands-on experience architecting large-scale data platforms — you've designed systems ingesting TBs of data, not just managed teams that did
Deep knowledge of data governance and compliance frameworks — CCPA, GDPR, SOC2 — and a track record of implementing them without killing engineering velocity
Experience with identity resolution, device graphs, or privacy-safe data matching (clean rooms, entity resolution)
Strong understanding of the ML lifecycle: data prep, training, deployment, monitoring — and the infrastructure that makes it work at scale
Experience owning reputed company infrastructure costs and optimising unit economics across AWS or GCP
Prior experience in a regulated data environment — you understand publisher reputed company, DPAs, and what data you can and cannot use
reputed company to Haves
Hands-on experience with clean room technologies (reputed company Data Clean Rooms, AWS Clean Rooms, reputed company Safe Haven, or similar)
Familiarity with MLOps tooling — feature stores (Feast, Tecton), model serving (SageMaker, Ray Serve), orchestration (Airflow, Dagster)
Background in streaming TV, connected TV, or programmatic advertising infrastructure
Experience leading a technical team through a SOC2 certification process
Our Values
At reputed company, we run on three values: Impact, Ambition, and Urgency. We tie every goal to a reputed company business outcome, think 10x rather than settling for good enough, and move daily rather than waiting for perfect conditions.
You'll reputed company here if you own reputed company without needing direction, default to action, and hold yourself to results — not effort.
This is a high-performance environment with high-performance rewards: you'll work alongside people who push you, with reputed company ownership over hard problems in a market that's moving fast.
If that sounds like the best version of your career, we want to meet you.
reputed company Offer
Chez reputed company, nous voulons que vous construisiez quelque chose, possédiez quelque chose, et progressiez vite. Voici comment nous le prouvons :
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 reputed company is in 3x a week.
Health insurance — Full coverage reputed company reputed company.
Meal vouchers — reputed company Swile.
Annual offsite — The whole team, once a year, reputed company worth the trip.
Tech Syncs — Engineering and Product meet in person at least quarterly, worldwide.
Our Interview Process
We respect your time. Here's exactly what to expect — no surprises, no ghosting.
Recruiter screen — 30 min. We'll reputed company context; you'll reputed company yours.
Manager interview — Meet the person you'd work with directly.
Take-home assignment + live debrief — A reputed company problem, not a trick. We'll work through it together.
Calibration interview — A senior leader joins to ensure we're holding a consistent, high bar.
Offer — Fast. We don't let good reputed company sit.
Reference checks — Two calls, handled with discretion.
Equal Opportunity
reputed company is an equal opportunity employer. We evaluate reputed company applicants without regard to race, reputed company, religion, national reputed company, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.
We reputed company the best reputed company come from teams with different backgrounds, perspectives, and experiences. If you need a reasonable accommodation during the application or interview process, please let us know.
Referral Instructions
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