Join our team<br>

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>Agency Sales Manager – Agentic Advertising<br></strong><br>London (hybrid) · Strong base + uncapped quarterly commission · Stock options<br><br></div>
<div><strong>Why This Role Exists<br></strong><br>pubX is building an agentic advertising marketplace designed to make programmatic advertising more efficient for buyers and publishers.</div>
<div>Over the last five years, we’ve built direct integrations and relationships with publishers. We’re now bringing that supply together with buyer and seller agents that can transact directly with each other – removing layers of the traditional programmatic stack and significantly increasing the proportion of advertiser spend that reaches working media.<br><br></div>
<div>This role exists to build coverage across the independent agency market and turn relationships into briefs, campaigns and revenue. We need someone building relationships day to day with the planners, buyers and account teams who actually shape campaigns, and expanding our reach across the independent agency market. We need someone building relationships day to day with the planners, buyers and account teams who actually shape campaigns, and expanding our reach across the independent agency market.<br><br></div>
<div><strong>The Role<br></strong><br>As Agency Sales Manager, you’ll own working-level relationships across the UK independent agency landscape.</div>
<div>This is a highly active, relationship-led sales role. You’ll spend a significant amount of time in agencies: building depth where our senior team has already opened doors, developing new relationships, generating briefs and turning early interest in pubX into live campaigns.</div>
<div>You’ll also be highly visible in the market. Agency lunches, drinks, events and hospitality are a genuine part of how relationships are built in this market, and they’re a core part of this role.</div>
<div><br><strong>What You’ll Do<br></strong></div>
<ul>
<li>Build and own day-to-day relationships across the UK independent agency landscape</li>
<li>Develop depth inside agencies where our senior commercial team has already opened doors</li>
<li>Build relationships with planners, buyers and account teams who shape briefs and influence spend</li>
<li>Maintain a high cadence of face-to-face agency meetings and in-market activity</li>
<li>Open new independent agency relationships beyond our existing network</li>
<li>Convert relationships into managed-service briefs, test campaigns and repeat revenue</li>
<li>Take opportunities from initial conversation through to booked campaigns, working closely with the wider commercial team</li>
<li>Entertain agency teams regularly through lunches, drinks, events and other relevant hospitality</li>
<li>Represent pubX at relevant industry events and build our visibility across the indie agency community</li>
<li>Bring agency feedback and market intelligence back into the business as we develop the proposition</li>
</ul>
<div><strong>What Success Looks Like</strong></div>
<div>&nbsp;</div>
<div>In your first three months, you’ll be fully up to speed on the pubX proposition and introduced into the priority agencies where we already have senior relationships. You’ll be independently running a strong weekly cadence of agency meetings and starting to turn those relationships into briefs.<br><br></div>
<div>Over the following 6–12 months, we’d expect to see:</div>
<ul>
<li>Active working-level relationships across our priority independent agencies</li>
<li>A significantly higher volume of agency meetings and market coverage</li>
<li>A repeatable flow of briefs converting into live campaigns</li>
<li>Growing repeat business within agency relationships</li>
<li>pubX increasingly visible and talked about across the independent agency community</li>
<li>Revenue delivered against agreed targets</li>
</ul>
<div><strong>What We’re Looking For</strong></div>
<ul>
<li>Current manager-level sales experience selling into UK media agencies</li>
<li>Strong agency relationships, with knowledge of the independent agency landscape or clear evidence that you can open doors within it</li>
<li>A proactive, commercially ambitious approach and motivation to build revenue</li>
<li>Someone who genuinely enjoys the social, relationship-led side of agency sales and wants to be in market consistently</li>
<li>Comfort operating in an early-stage environment where the proposition and supporting infrastructure are still evolving</li>
<li>Solid working knowledge of programmatic advertising</li>
<li>London-based or able to spend significant time in London agencies</li>
</ul>
<div><strong>What You’ll Get</strong></div>
<ul>
<li>Strong base salary: dependent on experience, with the range shared upfront in your first conversation</li>
<li>Uncapped quarterly commission</li>
<li>Stock options</li>
<li>A warm market to build from: senior agency relationships are already opening doors and several agencies have committed to testing</li>
<li>Proper onboarding: we’ll train you on the product, platform and story before expecting full autonomy</li>
<li>Real scope to grow: this is deliberately a Manager-level role, with room to develop as pubX and the commercial organisation scale</li>
<li>Something genuinely early: you’ll have the opportunity to help establish how agentic advertising is taken to market rather than joining once the playbook has already been written</li>
<li>Location: London. We have a base in Holborn, but much of your week will be spent out in market with agencies.</li>
</ul>
<div>&nbsp;</div></body></html>

Agency Sales Manager – Agentic Advertising

<html><head></head><body><div>
<div>Location: Remote (UK / EMEA)</div>
<div>Type: Full-time, permanent</div>
<div>Reports to: Product Lead</div>
<h1><br>About pubX</h1>
<div>pubX builds next-generation agentic advertising infrastructure. Our AI makes real-time, revenue-critical decisions for digital publishers and advertisers. We've priced over 1 trillion programmatic auctions, we're ranked #5 globally in the Prebid Analytics Adapter Rankings, and we're a founding member of AgenticAdvertising.org.</div>
<div>&nbsp;</div>
<h1>The Problem We're Solving</h1>
<div>Publishers and advertisers leave significant revenue on the table because ad sales are still largely manual, static, or rule-based. Every campaign is unique, but most campaign management systems lack the intelligence to evaluate context, demand, and deal potential in real time.</div>
<h1><br>Why This Role Exists</h1>
<div>We're building the infrastructure for agentic advertising: AI agents that sit on both sides of a media transaction, taking a buyer's brief through to a live, publisher-approved campaign with minimal manual work.</div>
<div>This role exists to take real ownership of a piece of that system. You'll take a defined area from discovery through delivery and iteration, with clear accountability for the roadmap decisions, the trade-offs, and whether it actually works once it's live.</div>
<h1><br>The Role</h1>
<div>You'll own a defined area of Agentic Advertising end-to-end: framing the problem, scoping the MVP, working directly with engineering to build it, and staying accountable for it once it's live. You'll be in the detail with engineering day-to-day.</div>
<div>This work is already running with real advertisers and publishers, and the standards underneath it are still being written. Cycles are short and what you ship reaches live campaigns quickly.</div>
<div>You'll work closely with the rest of the product team, engineering, and commercial teams.</div>
<h1><br>What You'll Do</h1>
<div>
<ul>
<li>Lead end-to-end discovery and delivery for your area of Agentic Advertising</li>
<li>Frame problems clearly and validate them through user research and data</li>
<li>Define MVP scope, success criteria, and iteration plans</li>
<li>Prioritise work based on impact, effort, and learning, and be explicit about what you're not doing</li>
<li>Work day-to-day with engineering to unblock delivery</li>
<li>Use AI to increase the speed and quality of your own discovery and delivery work, while holding a high bar for accuracy and data sensitivity</li>
<li>Support launches and adoption with Sales and Customer Success</li>
</ul>
</div>
<div>&nbsp;</div>
<h1>What Success Looks Like (First 6 Months)</h1>
<div>
<ul>
<li>At least one meaningful capability shipped end-to-end from discovery through launch, with instrumentation in place and at least one change made on the back of what it told you</li>
<li>A focused, outcome-driven roadmap for your area: priorities, trade-offs, and what you're deliberately not doing and the reasons why</li>
<li>Engineering trusts you to scope your area's work accurately</li>
<li>Strong working relationships across product, engineering, and commercial</li>
</ul>
</div>
<div>&nbsp;</div>
<h1>What We're Looking For</h1>
<h2>Must-have</h2>
<div>
<ul>
<li>5+ years product management experience shipping B2B SaaS products, where you defined the problems worth solving rather than delivering against a roadmap set elsewhere</li>
<li>Experience in AdTech / programmatic, ideally with exposure to the buy side, sell side, or both</li>
<li>Experience running discovery and scoping MVPs under real constraints, ideally without much supporting infrastructure (design, research, data) to lean on</li>
<li>Excellent written and verbal communication — able to make a case to technical and non-technical audiences without losing the nuance</li>
<li>Comfort using data to define and evaluate success, and knowing when the data doesn't answer the question</li>
<li>Pragmatic product judgment and a bias toward outcomes</li>
<li>A demonstrated habit of using AI to improve day-to-day product work</li>
</ul>
</div>
<div>&nbsp;</div>
<h2>Nice-to-have</h2>
<div>
<ul>
<li>Experience with technical products involving APIs, agents, or data integrations</li>
<li>Familiarity with agent protocols or agentic workflows (AdCP or similar)</li>
<li>Experience shipping AI-powered features or products</li>
</ul>
</div>
<div>&nbsp;</div>
<h1>How We Hire</h1>
<div>1. CV &amp; profile review<br>&nbsp;We look at relevant experience and background to confirm fit before moving forward.</div>
<div>2. Initial chat (45 mins)<br>&nbsp;A conversation about motivation, role fit, and a deeper dive into your experience.</div>
<div>3. Live task interview (60 mins)<br>&nbsp;A live exercise testing product thinking and problem-solving in practice, not just in theory.</div>
<div>4. Final interview (60 mins)<br>&nbsp;A behavioural interview covering how you think, how you work, your technical and commercial judgement, and whether we're the right fit for each other.</div>
<h1><br>Compensation &amp; Benefits</h1>
<div>Competitive salary, equity, and benefits. Leveling aligned with our product organisation framework.</div>
<div>&nbsp;</div>
</div></body></html>

Senior Product Manager (UK/EU)

<html><head></head><body><div>Don’t see a role that fits? Apply anyway!</div>
<div>&nbsp;</div>
<div>We’re always looking for exceptional people who want to build the future, and some of our best hires started with a conversation before a job description existed.</div>
<div>&nbsp;</div>
<div>Tell us what you’re great at, what you want to work on, and how you’d add value at pubX.</div>
<div>If there’s alignment - now or soon - we’ll be in touch.</div></body></html>

Future pubXer (Open Application)

<html><head></head><body><p><strong>NOTE: This role is a Hybrid role, it requires in person meetups in Bengaluru, India 🇮🇳<br></strong></p>
<h3>Why This Role Exists</h3>
<div>PubX builds next-generation publisher-first agentic advertising infrastructure. Our AI makes real-time, revenue-critical 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.</div>
<h3>The problem we’re solving</h3>
<div>Digital publishers leave significant revenue on the table because their tools are are still largely manual, static or simple rule-based. Every ad impression is unique, but most advertising systems treat them the same. PubX's AI analyzes bid-stream data and historical patterns to arrange optimal deals, in near real-time.</div>
<p>As a founding member of AgenticAdvertising.org, we're building the next generation of autonomous advertising infrastructure.</p>
<h3><strong>What You’ll Work On<br></strong></h3>
<p><strong>Tech: Python and/or TypeScript, FastAPI/Node, Kafka/SQS, AWS, Terraform/CDK, AI stack</strong></p>
<ul>
<li>Design, build, and maintain backend services and APIs (REST/GraphQL/gRPC) that power agentic AI features and core product workflows i.e. MCP and A2A protocols,</li>
<li>Develop web applications that integrate tightly with ML/LLM-driven systems (streaming UX, feedback capture, citations/grounding, stateful sessions),</li>
<li>Build and operate event-driven components using Kafka and message queues (e.g., SQS/RabbitMQ), design asynchronous workflows for long-running agent jobs,</li>
<li>Deploy and operate services on AWS (e.g., ECS/EKS/Lambda, API Gateway/ALB, RDS/DynamoDB, S3), using infrastructure-as-code and secure-by-default patterns,</li>
<li>Improving our reliability, observability, and developer workflows over time, structured logs, metrics, tracing (incl. agent/tool traces), dashboards, alerting, and post-incident reviews.</li>
</ul>
<h3><strong>What We’re Looking For</strong></h3>
<div>We’re looking for an experienced engineer who has worked on production systems and enjoys solving practical problems with AI.</div>
<div>&nbsp;</div>
<div><strong>You’ve likely have:</strong></div>
<ul>
<li>Strong backend engineering fundamentals: API-first design, data modeling, performance, and security considerations.</li>
<li>Comfortable integrating LLM/ML components into product systems (streaming, async jobs, state, caching, evaluation).</li>
<li>Strong hands-on experience with AI-assisted development workflows in a real codebase (not just demos), including using agents to navigate large repos, apply multi-file changes, and iterate via tests.</li>
<li>Experience building distributed systems with event-driven patterns (Kafka/queues).</li>
<li>Hands-on AWS experience with production operations, monitoring, incident response, and cost-awareness.</li>
</ul>
<div><strong>You tend to:</strong></div>
<ul>
<li>Make pragmatic decisions balancing speed, quality, cost, and risk trade-offs.</li>
<li>Communicate technical ideas well in writing and conversation to both technical and non-technical audiences.</li>
<li>Write clean, well-tested code with thoughtful abstractions that’s easy to extend and operate.</li>
<li>Learn quickly when things are unfamiliar by prototyping, then hardening and documenting what you ship.</li>
</ul>
<div>&nbsp;</div>
<div><strong>Bonus (not required):</strong></div>
<ul>
<li>Experience with AdTech or other high volume real-time systems</li>
</ul>
<h3><strong>Who This Role Will Suit</strong></h3>
<div>This role suits engineers 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 India, so comfort with async collaboration and clear written communication is important.</div>
<div>&nbsp;</div>
<div>We use agentic coding tools heavily (e.g. Cursor and Claude Code) to plan, scaffold, refactor, and debug production code, while maintaining strong engineering judgment and ownership of outcomes.</div>
<h3><strong>Company Benefits</strong></h3>
<ul>
<li>What We OfferCompetitive 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>
<div>
<h3><strong>Interview Process</strong></h3>
<div>Our process is designed to be practical and respectful.</div>
<ul>
<li>CV &amp; Profile Review – Relevant experience and background</li>
<li>Initial Chat (30 mins) – Motivation and role fit</li>
<li>Technical Interview (60 mins) – Architecture, design choices, and real scenarios</li>
<li>Practical Exercise + Discussion (60 mins) – A small task related to the role</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>

Senior Full-Stack AI Engineer (Agentic AI)

<html><head></head><body><h3>Why This Role Exists</h3>
<div>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.</div>
<h3>The problem we’re solving</h3>
<div>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 camp is unique, but most ad campaign management systems lack the intelligence to evaluate context, demand, and deal potential in real time.</div>
<div>&nbsp;</div>
<div>As a founding member of AgenticAdvertising.org, we're building the next generation of autonomous advertising infrastructure.</div>
<h4>Who You Are</h4>
<ul>
<li>A pragmatic engineering mindset: you know when to use an agent framework, when a simpler workflow is better, and how to balance model capability, reliability, latency, cost, and user experience.</li>
<li>Communicate technical ideas well in writing and conversation to both technical and non-technical audiences.</li>
<li>Write clean, well-tested code with thoughtful abstractions that’s easy to extend and operate.</li>
<li>Learn quickly when things are unfamiliar by prototyping, then hardening and documenting what you ship.</li>
</ul>
<h4>What You’ll Work On</h4>
<ul>
<li>Design, build, and maintain backend services and APIs across REST, GraphQL, and gRPC that power agentic AI features and core product workflows.</li>
<li>Build production-grade AI agent systems using modern frameworks and patterns such as LangChain, LangGraph, tool/function calling, structured outputs, multi-step planning, stateful agent sessions, human-in-the-loop workflows, and agent memory.</li>
<li>Design and integrate agent interoperability patterns, including Model Context Protocol (MCP) for tool and data access, and Agent-to-Agent (A2A) communication patterns for multi-agent collaboration.</li>
<li>Develop web applications that integrate tightly with ML and LLM-driven systems, including, stateful conversations, retries, fallbacks, and explainability surfaces.</li>
<li>Build and operate event-driven components using Kafka and message queues such as SQS or RabbitMQ, designing asynchronous workflows for long-running agent jobs, background reasoning tasks, tool execution, and orchestration pipelines.</li>
<li>Implement observability, evaluation, and debugging workflows for AI systems using tools such as Langfuse, LangSmith, OpenTelemetry, structured logs, metrics, tracing, agent/tool traces, dashboards, alerting, and post-incident reviews.</li>
<li>Deploy and operate services on AWS, including ECS, EKS, Lambda, API Gateway, ALB, RDS, DynamoDB, S3, and related services, using infrastructure-as-code and secure-by-default engineering patterns.</li>
<li>Continuously improve reliability, performance, cost efficiency, developer experience, and production-readiness across both traditional backend systems and AI-native workflows.</li>
</ul>
<h4>What We’re Looking For</h4>
<div>We’re looking for an experienced engineer who has built production systems and enjoys solving practical problems with AI. You should be comfortable working across backend engineering, cloud infrastructure, and LLM-powered product experiences.</div>
<div>&nbsp;</div>
<h4>You’ve likely worked with:</h4>
<ul>
<li>Strong backend engineering fundamentals, including API-first design, data modeling, distributed systems, performance, security, authentication, authorization, and production operations.</li>
<li>Hands-on experience integrating LLMs or ML components into real product systems, including streaming responses, async jobs, state management, caching, retrieval, grounding, evaluations, and monitoring.</li>
<li>Practical experience with agentic AI frameworks and patterns, such as LangChain, LangGraph, LlamaIndex, OpenAI/Anthropic APIs, tool calling, structured outputs, agent routing, multi-agent workflows, and human-in-the-loop systems.</li>
<li>Experience with LLM observability and evaluation workflows, ideally using tools such as Langfuse, LangSmith, OpenTelemetry, custom evaluation harnesses, prompt/version management, datasets, regression testing, and LLM-as-judge approaches.</li>
<li>Strong hands-on experience with AI-assisted development workflows in a real codebase, not just demos, including using coding agents to navigate large repositories, propose multi-file changes, write and update tests, review diffs, and iterate safely.</li>
<li>Experience working with distributed systems with event-driven patterns, including Kafka, SQS, RabbitMQ, pub/sub architectures, background workers, retries, dead-letter queues, idempotency, and workflow orchestration.</li>
<li>Hands-on AWS experience with production operations, monitoring, incident response, infrastructure-as-code, cost awareness, and secure deployment practices.&nbsp;</li>
</ul>
<h4>Nice to Have</h4>
<ul>
<li>Experience with MCP servers or clients, A2A-style agent communication, tool registries, agent authentication, permissions, audit logging, and secure tool execution.</li>
<li>Experience with retrieval-augmented generation systems, vector databases, embedding pipelines, reranking, hybrid search, citation generation, and grounding quality evaluation.</li>
<li>Experience designing safeguards for LLM systems, including prompt-injection mitigation, output validation, PII handling, policy enforcement, sandboxing, rate limiting, and abuse monitoring.</li>
<li>Experience with modern AI developer tooling such as Cursor, Claude Code, GitHub Copilot, OpenAI Codex, or similar coding-agent workflows in production engineering teams.</li>
</ul>
<h4>Bonus (not required):</h4>
<ul>
<li>Experience with AdTech or other high volume real-time systems<br>&nbsp;</li>
</ul>
<h4>Who This Role Will Suit</h4>
<ul>
<li>This role suits engineers who like a mix of autonomy and collaboration, and who are comfortable working in an environment that’s still evolving.</li>
<li>We’re a distributed team with a growing engineering presence in India, so comfort with async collaboration and clear written communication is important.</li>
<li>We use agentic coding tools heavily (e.g. Cursor and Claude Code) to plan, scaffold, refactor, and debug production code, while maintaining strong engineering judgment and ownership of outcomes.</li>
</ul>
<h4>Company Benefits</h4>
<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&nbsp;</li>
</ul>
<h4>Interview Process</h4>
<ul>
<li>Our process is designed to be practical and respectful.</li>
<li>CV &amp; Profile Review – Relevant experience and background</li>
<li>Initial Chat (30 mins) – Motivation and role fit</li>
<li>Architecture Interview (60 mins) – Architecture, design choices, and real scenarios</li>
<li>Agentic Coding Exercise (60 mins) – A small task related to the role, executed by agents<br>&nbsp;</li>
</ul>
<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>&nbsp;</div>
<div>We will process your personal data in accordance with our Recruitment Privacy Notice: https://pubx.ai/privacy/recruitment/</div></body></html>

Senior AI Engineer (Agentic AI)

<html><head></head><body><h4><span style="font-size: 14px;">Why This Role Exists</span></h4>
<p><span style="font-size: 14px;">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></span></p>
<h4><span style="font-size: 14px;">The problem we’re solving<br></span></h4>
<p><span style="font-size: 14px;">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 camp is unique, but most ad campaign management systems lack the intelligence to evaluate context, demand, and deal potential in real time.<br>&nbsp;<br>As a founding member of AgenticAdvertising.org, we're building the next generation of autonomous advertising infrastructure.<br></span></p>
<h4><span style="font-size: 14px;">Who You Are<br></span></h4>
<ul>
<li><span style="font-size: 14px;">A pragmatic engineering mindset: you know when to use an agent framework, when a simpler workflow is better, and how to balance model capability, reliability, latency, cost, and user experience.</span></li>
<li><span style="font-size: 14px;">Communicate technical ideas well in writing and conversation to both technical and non-technical audiences.</span></li>
<li><span style="font-size: 14px;">Write clean, well-tested code with thoughtful abstractions that’s easy to extend and operate.</span></li>
<li><span style="font-size: 14px;">Learn quickly when things are unfamiliar by prototyping, then hardening and documenting what you ship.<br></span></li>
</ul>
<h3><span style="font-size: 14px;">What You'll Work On</span></h3>
<p><strong>Tech: Python, SQL, Spark, Airflow, dbt, Kafka/Kinesis/SQS, AWS, Terraform/CDK, modern ETL</strong></p>
<ul>
<li>Design and maintain high-volume data pipelines (batch + streaming) powering agentic AI features and core product workflows</li>
<li>Build event-driven components using Kafka and message queues, including idempotency patterns, replay strategies, and backfill mechanisms</li>
<li>Develop data models and transformation layers (lakehouse patterns, dbt-style modeling) supporting both analytics and ML/AI consumption</li>
<li>Own data quality and reliability: schema management, validation, lineage, SLAs, and incident response</li>
<li>Enable AI/ML workflows with robust datasets for training, evaluation, feature generation, and feedback loops from production agents</li>
<li>Deploy and operate data infrastructure on AWS using infrastructure-as-code</li>
</ul>
<h3><strong>What We’re Looking For</strong></h3>
<div>We’re looking for an experienced engineer who has worked on production systems and enjoys solving practical problems with AI.</div>
<div>&nbsp;</div>
<div><strong>You’ve likely have:</strong></div>
<ul>
<li>Strong data engineering fundamentals: data modeling, partitioning, performance tuning, and cost-aware design for high-volume workloads</li>
<li>Experience buildingstreaming and event-driven systems(Kafka/queues), including handling late/out-of-order events, backfills, and real-world data edge cases</li>
<li>Strong SQL + Python skills, and comfort with modern data stack tooling (e.g., Spark, Airflow/Dagster, dbt, warehouse/lakehouse patterns)</li>
<li>Hands-on AWS experience with production operations for data systems: monitoring, incident response, and security considerations (PII, access control, encryption, auditability)</li>
<li>Familiarity integrating data withAI/ML and agentic systems: feature pipelines, evaluation datasets, grounding/citations inputs, and feedback capture from agent outcomes</li>
</ul>
<div><strong>Who This Role Will Suit</strong></div>
<ul>
<li>This role suits engineers who like a mix of autonomy and collaboration, and who are comfortable working in an environment that’s still evolving.</li>
<li>We’re a distributed team with a growing engineering presence in India, so comfort with async collaboration and clear written communication is important.</li>
<li>We use agentic coding tools heavily (e.g. Cursor and Claude Code) to plan, scaffold, refactor, and debug production code, while maintaining strong engineering judgment and ownership of outcomes.</li>
</ul>
<div>&nbsp;</div>
<div><strong>Bonus (not required):</strong></div>
<ul>
<li>Experience with AdTech or other high volume real-time systems</li>
</ul>
<h3><strong>Company Benefits</strong></h3>
<ul>
<li>What We OfferCompetitive 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>
<div>
<h3><strong>Interview Process</strong></h3>
<div>Our process is designed to be practical and respectful.</div>
<ul>
<li>CV &amp; Profile Review – Relevant experience and background</li>
<li>Initial Chat (30 mins) – Motivation and role fit</li>
<li>Technical Interview (60 mins) – Architecture, design choices, and real scenarios</li>
<li>Practical Exercise + Discussion (60 mins) – A small task related to the role</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>

Job Openings

Agency Sales Manager – Agentic Advertising

Senior Product Manager (UK/EU)

Future pubXer (Open Application)

Senior Full-Stack AI Engineer (Agentic AI)

Senior AI Engineer (Agentic AI)

Senior Data Engineer (Agentic AI)