MidFull TimeEN
We're looking for a Forward Deployed Engineer at the intersection of data science and digital marketing. You'll work directly with clients to deploy AI solutions that transform how they run ad campaigns, allocate media budgets, and measure performance. This isn't a pure engineering role — it's for someone who understands attribution models as well as they understand APIs, and who can translate a media buyer's pain into a working prototype.
Work embedded with clients to deeply understand their marketing workflows, data infrastructure, and campaign operations — identify the real pain points and shape them into actionable use cases for Avra's platform.
Build and deploy AI-powered solutions for media planning, audience segmentation, creative optimization, and campaign analytics.
Assess the quality and accuracy of marketing data alongside customers, ensuring Avra's Data Platform team is set up to consume the right data in the right way.
Work hand-in-hand with a Deployment Strategist who turns your technical insight into the business solution the customer needs, at speed. You're one half of a double act.
Translate business requirements into technical specs, and technical outputs into business narratives that clients actually understand.
Be part of Avra's FDE cohort — benchmark across use cases, share learnings, and sharpen each other's work. You are a domain specialist, but you'll have a Data Science pair, a cohort of FDEs around you, and a direct line into how Product builds.
Bring insight from the field back to Avra's product and engineering teams. Drive quick iteration based on real-world usage and feedback, improving our existing solutions and shaping future product offerings.
Bridge the gap between experts and executives — communicate effectively with data specialists and operational teams as well as C-level stakeholders. Translate detail into business impact, and vice versa.
Background in statistics, econometrics, or data science (degree or equivalent practical experience).
2+ years of hands-on experience with digital advertising — you've managed campaigns or led analytics for real campaigns, not just studied them.
Proficiency in Python and SQL; comfort working with APIs and basic software engineering concepts (version control, deployment, testing).
Familiarity with ad platforms and their data structures.
Experience with experimentation design: A/B tests, geo-lift studies, incrementality frameworks.
Strong communication skills — you can present a model uplift analysis to a CMO without their eyes glazing over.
Previous experience at an ad tech company or in a growth/performance marketing team.
São Paulo — hybrid, with in-person time at customer sites.
You won't be sitting behind a dashboard. You'll be in the room with marketing leaders, understanding their problems firsthand, and building solutions that ship in weeks, not quarters. If you're the kind of person who gets frustrated when data science stays in a notebook and never reaches production — this is your role.
