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- Tasks: Develop AI-native ad solutions and optimise audience targeting for B2B clients.
- Company: Join Adzact, a fast-growing tech company revolutionising B2B advertising.
- Benefits: Enjoy a ÂŁ1000 learning budget, flexible working, and private health cover.
- Other info: Be part of a supportive team focused on growth and learning.
- Why this job: Make a real impact in the ad tech space with innovative engineering.
- Qualifications: Strong Python skills and experience with APIs and data pipelines.
The predicted salary is between 60000 - 80000 ÂŁ per year.
At Adzact we are building the autonomous B2B ad engine. B2B companies now spend tens of billions on paid media every year. Yet most of that money still flows through tools built for B2C ecommerce or recruitment. Targeting is blunt, spend concentrates on the wrong accounts, and “optimisation” often just means buying more clicks from the same oversized companies. Adzact exists to fix that. We have built a purpose‑built B2B ad platform that:
- Identifies high‑fit companies using structural and intent signals
- Enforces precision targeting across LinkedIn, Meta and Google
- Suppresses wasted spend on non‑buyers and existing customers
- Surfaces person‑level engagement and buying intensity
- Automatically orchestrates campaigns, landing pages and reporting
Our clients include enterprise B2B brands across software, financial services, healthcare and security. In the last year we have grown ARR 10x and are now building the multi‑year IP that turns Adzact from a services‑heavy layer into a fully autonomous ad engine.
You will join a small, high‑output engineering team building the core of the Adzact platform. This is not a ticket‑driven feature factory role. You will work selectively across:
- Audience intelligence systems (fit modelling, enrichment, suppression)
- Person‑level intent and intensity scoring
- Campaign orchestration across LinkedIn, Meta and Google APIs
- Automated landing page generation with dynamic tracking and analytics
- Lead ingestion, attribution and CRM integrations (Marketo, HubSpot, Salesforce)
- Internal tooling that powers sales and customer success (Audience Audit, activation workflows)
You will help design systems that:
- Abstract away platform complexity
- Enforce guardrails to prevent wasted spend
- Balance automation with transparency
- Scale across multiple business managers and ad accounts
- Are robust against abuse, cost spikes and data inconsistency
Your work will directly influence revenue and client performance.
Tech stack: We are AI‑native and pragmatic. We use tools that move us forward. Core stack includes:
- Claude
- Code
- Databricks
- Python
- FastAPI / Flask
- Pandas and data processing libraries
- SQL (MySQL/Postgres)
- AWS
- Docker
- Platform APIs (LinkedIn, Meta, Google Ads)
We are leveraging:
- Agentic development workflows
- LLM‑assisted prototyping
- Automated test and validation pipelines
- Lightweight internal tooling rather than heavyweight enterprise frameworks
You do not need to match this list perfectly. We care about your ability to think clearly, design systems, and ship.
Who we are looking for:
- Has strong Python and backend fundamentals
- Has worked with APIs and real‑world data pipelines
- Is comfortable owning a problem end‑to‑end
- Understands the trade‑offs between speed and robustness
- Can think commercially, not just technically
- Is excited by AI‑native engineering workflows
- Prefers small, senior teams over large, slow organisations
Bonus (but not required):
- Experience with ad tech, marketing platforms or CRM systems
- Experience building scoring or modelling systems
- Experience working in early‑stage or high‑growth startups
- Experience with multi‑tenant SaaS architecture
Our culture:
- Communication: We communicate clearly and directly.
- Ownership: We take responsibility for outcomes, not just tasks.
- Learning velocity: We absorb new tools and ideas quickly.
- Commercial awareness: We understand how our code impacts revenue.
- Shipping: We prefer working software in customers’ hands over perfect abstractions.
Benefits:
- Training and personal development: ÂŁ1000 annual learning budget plus dedicated time for skill development
- Internal build days and experimental sprints
- Flexible working to accommodate childcare and life commitments
- Hybrid model (typically 1–2 days per week in our London workspace)
- 25 days holiday plus bank holidays, increasing with tenure
- Private health and dental cover
- Company pension (6% employer contribution)
You will be part of a friendly, ambitious team building something meaningful. We move fast, but we look after each other.
Software Engineer (AI-Native Ad Platform) employer: Adzact
Contact Detail:
Adzact Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer (AI-Native Ad Platform)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and backend development. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and system design scenarios. Don’t forget to brush up on your SQL and API knowledge, as these are key for the role at Adzact!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Adzact.
We think you need these skills to ace Software Engineer (AI-Native Ad Platform)
Some tips for your application 🫡
Show Your Passion for AI-Native Engineering: When writing your application, let us see your excitement for AI-native engineering workflows. Share any relevant projects or experiences that highlight your skills in Python and backend development, especially if they relate to audience intelligence systems.
Be Clear and Concise: We appreciate clear communication, so make sure your application is easy to read. Avoid jargon and get straight to the point about your experience with APIs, data pipelines, and how you've tackled problems end-to-end.
Highlight Your Commercial Awareness: Don’t just focus on technical skills; show us you understand how your work impacts revenue. Include examples of how your previous projects have contributed to business outcomes or improved client performance.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our ambitious team!
How to prepare for a job interview at Adzact
✨Know Your Tech Stack
Familiarise yourself with the core technologies mentioned in the job description, like Python, SQL, and APIs. Be ready to discuss your experience with these tools and how you've used them in real-world projects.
✨Understand the Business Impact
Adzact is all about optimising B2B ad spend. Show that you understand how your technical skills can directly influence revenue and client performance. Think of examples where your work has had a commercial impact.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to own a problem end-to-end. Prepare to discuss specific challenges you've faced in past projects and how you approached solving them, especially in fast-paced environments.
✨Show Your Passion for AI-Native Engineering
Since Adzact is focused on AI-native workflows, express your enthusiasm for this area. Share any relevant projects or experiences that highlight your interest and understanding of AI in software engineering.