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Why This Role Exists
PubX builds next-generation agentic advertising infrastructure. Our AI makes real-time, revenue-critical decisions for digital publishers and advertisers. Our Bid Intelligence uses machine learning to optimize every programmatic ad auction individually, generating measurable revenue uplift for publishers. We've priced over 1 trillion programmatic auctions, we're currently ranked #5 globally in Prebid Analytics Adapter Rankings, and growing.
The Problem We're Solving
Digital publishers and advertisers leave significant revenue on the table because ad sales are still largely manual, static, or rule-based. The reality is every campaign is unique, but most ad campaign management systems lack the intelligence to evaluate context, demand, and deal potential in real time.
As a founding member of AgenticAdvertising.org, we're building the next generation of autonomous advertising infrastructure.
Who You Are
- An experienced engineering manager who has stayed close to the work: you can review a pipeline design, challenge a modelling decision, and unblock an engineer without taking the keyboard.
- A pragmatic technical mindset: you know when to invest in data platform work, when a simpler solution is better, and how to balance reliability, latency, cost, and delivery speed.
- You communicate well in writing and conversation with engineers, product, and non-technical stakeholders — and you can turn ambiguous product asks into a clear, sequenced plan.
- You grow engineers: through feedback, delegation, and raising the bar on quality rather than doing the work yourself.
- You take ownership of outcomes, not just output — if the data platform has a problem, it's your problem.
What You'll Work On
- Lead the data engineering team: line management, coaching, performance, and hiring as the team grows
- Own the data platform roadmap: pipeline improvements, orchestration, tooling, data quality, and cost/reliability work — you decide what gets built and when, and you make the case for it
- Partner with product on feature scope: translate product requirements into data deliverables, commit the team to realistic plans, and deliver against them
- Set and uphold the team's engineering standards: schema management, validation, lineage, SLAs, and incident response
- Guide the design of high-volume batch and streaming pipelines powering agentic AI features and core product workflows
- Enable AI/ML workflows with robust datasets for training, evaluation, feature generation, and feedback loops from production agents
- Stay hands-on where it counts: design reviews, architectural decisions, prototyping, and occasionally shipping code to keep your judgement sharp
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What We're Looking For
We're looking for an experienced engineering manager who has led data teams on production systems and enjoys solving practical problems with AI.
You likely have:
- Experience managing data or data platform engineers with direct accountability for delivery, quality, and team health
- Recent hands-on experience with the modern data stack: strong SQL + Python, and working fluency with tools like Spark, Airflow/Dagster, dbt, Kafka/queues, and warehouse/lakehouse patterns
- A track record of owning a technical roadmap: identifying platform investments (orchestration, tooling, data quality), prioritising them against product work, and shipping them
- Experience partnering with product managers: scoping, estimating, sequencing, and communicating trade-offs clearly
- Operational maturity for production data systems on AWS: monitoring, incident response, and security considerations (PII, access control, encryption, auditability)
- Familiarity with data for AI/ML and agentic systems: feature pipelines, evaluation datasets, grounding/citations inputs, and feedback capture from agent outcomes
- Experience hiring and growing engineers, ideally in a distributed or async-first team
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Who This Role Will Suit
This role suits folks who like a mix of autonomy and collaboration, and who are comfortable working in an environment that's still evolving.
We're a distributed team with a growing engineering presence in UK, Europe, and India, so comfort with async collaboration and clear written communication is important.
We use agentic coding tools heavily (e.g. Claude Code) to plan, scaffold, refactor, and debug production code, while maintaining strong engineering judgment and ownership of outcomes.
Bonus (not required):
- Experience with AdTech or other high volume real-time systems
What We Offer
- Competitive salary with meaningful equity
- Fully remote, async-friendly working
- Supportive, low-ego engineering culture
- Budget for learning and professional development
Interview Process
- CV & Profile Review – Relevant experience and background
- Initial Chat (30 mins) – Motivation and role fit
- Technical & Design (60 mins) – A small task related to the role i.e. Data Architecture
- Cultural Fit + Leadership (60 mins) – roadmap ownership, and real management scenarios
If you're interested in building and shaping real systems in a growing product company, at the forefront of AdTech innovation, we'd love to hear from you.
We will process your personal data in accordance with our Recruitment Privacy Notice: https://pubx.ai/privacy/recruitment/
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