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PubX builds next-generation publisher-first agentic advertising infrastructure. Our AI makes real-time, revenue-critical pricing decisions for digital publishers. Our Bid Intelligence uses machine learning to optimize every programmatic ad auction individually, generating measurable revenue uplift for publishers. We’re currently ranked #5 globally in Prebid Analytics Adapter Rankings, and growing.

Join our team

<html><head></head><body><div><strong>Why This Role Exists</strong><br><br>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.<br><br></div>
<div><strong>The problem we're solving<br></strong><br>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.</div>
<div><br>As a founding member of AgenticAdvertising.org, we're building the next generation of autonomous advertising infrastructure.</div>
<div>
<div><strong><br>Who You Are<br></strong></div>
<ul>
<li>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.</li>
<li>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.</li>
<li>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.</li>
<li>You grow engineers: through feedback, delegation, and raising the bar on quality rather than doing the work yourself.</li>
<li>You take ownership of outcomes, not just output — if the data platform has a problem, it's your problem.<strong><br></strong></li>
</ul>
<div><strong>What You'll Work On<br></strong></div>
<ul>
<li>Lead the data engineering team: line management, coaching, performance, and hiring as the team grows</li>
<li>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</li>
<li>Partner with product on feature scope: translate product requirements into data deliverables, commit the team to realistic plans, and deliver against them</li>
<li>Set and uphold the team's engineering standards: schema management, validation, lineage, SLAs, and incident response</li>
<li>Guide the design of high-volume batch and streaming pipelines powering agentic AI features and core product workflows</li>
<li>Enable AI/ML workflows with robust datasets for training, evaluation, feature generation, and feedback loops from production agents</li>
<li>Stay hands-on where it counts: design reviews, architectural decisions, prototyping, and occasionally shipping code to keep your judgement sharp</li>
</ul>
<strong>What We're Looking For<br></strong><br>We're looking for an experienced engineering manager who has led data teams on production systems and enjoys solving practical problems with AI.</div>
<div><br>You likely have:</div>
<div>
<ul>
<li>Experience managing data or data platform engineers with direct accountability for delivery, quality, and team health</li>
<li>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</li>
<li>A track record of owning a technical roadmap: identifying platform investments (orchestration, tooling, data quality), prioritising them against product work, and shipping them</li>
<li>Experience partnering with product managers: scoping, estimating, sequencing, and communicating trade-offs clearly</li>
<li>Operational maturity for production data systems on AWS: monitoring, incident response, and security considerations (PII, access control, encryption, auditability)</li>
<li>Familiarity with data for AI/ML and agentic systems: feature pipelines, evaluation datasets, grounding/citations inputs, and feedback capture from agent outcomes</li>
<li>Experience hiring and growing engineers, ideally in a distributed or async-first team</li>
</ul>
<strong>Who This Role Will Suit<br></strong><br>
<div>This role suits folks who like a mix of autonomy and collaboration, and who are comfortable working in an environment that's still evolving.</div>
<div>&nbsp;</div>
<div>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.<br><br>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.</div>
</div>
<div><br>Bonus (not required):</div>
<ul>
<li>Experience with AdTech or other high volume real-time systems</li>
</ul>
<div><strong>What We Offer</strong></div>
<div>
<ul>
<li>Competitive salary with meaningful equity</li>
<li>Fully remote, async-friendly working</li>
<li>Supportive, low-ego engineering culture</li>
<li>Budget for learning and professional development</li>
</ul>
<strong>Interview Process<br></strong><br>Our process is designed to be practical and respectful.</div>
<div>
<ul>
<li>CV &amp; Profile Review – Relevant experience and background</li>
<li>Initial Chat (30 mins) – Motivation and role fit</li>
<li>Technical &amp; Design (60 mins) – A small task related to the role i.e. Data Architecture&nbsp;</li>
<li>Cultural Fit + Leadership (60 mins) – roadmap ownership, and real management scenarios</li>
</ul>
</div>
<div>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.</div>
<div><br>We will process your personal data in accordance with our Recruitment Privacy Notice: https://pubx.ai/privacy/recruitment/</div></body></html>

<div>
<strong>Why This Role Exists</strong><br><br>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.<br><br>
</div>
<div>
<strong>The problem we're solving<br></strong><br>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.</div>
<div>
<br>As a founding member of AgenticAdvertising.org, we're building the next generation of autonomous advertising infrastructure.</div>
<div>
<div><strong><br>Who You Are<br></strong></div>
<ul>
<li>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.</li>
<li>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.</li>
<li>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.</li>
<li>You grow engineers: through feedback, delegation, and raising the bar on quality rather than doing the work yourself.</li>
<li>You take ownership of outcomes, not just output — if the data platform has a problem, it's your problem.<strong><br></strong>
</li>
</ul>
<div><strong>What You'll Work On<br></strong></div>
<ul>
<li>Lead the data engineering team: line management, coaching, performance, and hiring as the team grows</li>
<li>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</li>
<li>Partner with product on feature scope: translate product requirements into data deliverables, commit the team to realistic plans, and deliver against them</li>
<li>Set and uphold the team's engineering standards: schema management, validation, lineage, SLAs, and incident response</li>
<li>Guide the design of high-volume batch and streaming pipelines powering agentic AI features and core product workflows</li>
<li>Enable AI/ML workflows with robust datasets for training, evaluation, feature generation, and feedback loops from production agents</li>
<li>Stay hands-on where it counts: design reviews, architectural decisions, prototyping, and occasionally shipping code to keep your judgement sharp</li>
</ul>
<strong>What We're Looking For<br></strong><br>We're looking for an experienced engineering manager who has led data teams on production systems and enjoys solving practical problems with AI.</div>
<div>
<br>You likely have:</div>
<div>
<ul>
<li>Experience managing data or data platform engineers with direct accountability for delivery, quality, and team health</li>
<li>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</li>
<li>A track record of owning a technical roadmap: identifying platform investments (orchestration, tooling, data quality), prioritising them against product work, and shipping them</li>
<li>Experience partnering with product managers: scoping, estimating, sequencing, and communicating trade-offs clearly</li>
<li>Operational maturity for production data systems on AWS: monitoring, incident response, and security considerations (PII, access control, encryption, auditability)</li>
<li>Familiarity with data for AI/ML and agentic systems: feature pipelines, evaluation datasets, grounding/citations inputs, and feedback capture from agent outcomes</li>
<li>Experience hiring and growing engineers, ideally in a distributed or async-first team</li>
</ul>
<strong>Who This Role Will Suit<br></strong><br>
<div>This role suits folks who like a mix of autonomy and collaboration, and who are comfortable working in an environment that's still evolving.</div>
<div> </div>
<div>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.<br><br>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.</div>
</div>
<div>
<br>Bonus (not required):</div>
<ul>
<li>Experience with AdTech or other high volume real-time systems</li>
</ul>
<div><strong>What We Offer</strong></div>
<div>
<ul>
<li>Competitive salary with meaningful equity</li>
<li>Fully remote, async-friendly working</li>
<li>Supportive, low-ego engineering culture</li>
<li>Budget for learning and professional development</li>
</ul>
<strong>Interview Process<br></strong><br>Our process is designed to be practical and respectful.</div>
<div>
<ul>
<li>CV &amp; Profile Review – Relevant experience and background</li>
<li>Initial Chat (30 mins) – Motivation and role fit</li>
<li>Technical &amp; Design (60 mins) – A small task related to the role i.e. Data Architecture </li>
<li>Cultural Fit + Leadership (60 mins) – roadmap ownership, and real management scenarios</li>
</ul>
</div>
<div>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.</div>
<div>
<br>We will process your personal data in accordance with our Recruitment Privacy Notice: https://pubx.ai/privacy/recruitment/</div>