We’re looking for a marketing-focused Growth Engineer to drive measurable business impact across acquisition, activation, and revenue.
Intent HQ redefines customer understanding for the agentic era, enabling enterprises to influence customer decisions at the moments that determine growth, loyalty, and competitive advantage. As the Human-to-AI Context Company, we offer groundbreaking AI technology that creates the missing context of human behaviour and individuality, transforming data into confident decisions that reflect how people actually act in the real world. We enable brands to Act With Intent.
Trusted by global enterprises, Intent HQ manages 325M+ profiles and processes 250B events daily. We won AI Business of the Year (National AI Awards 2025), Analytics Company of the Year (British Data Awards 2025), and winner of Best AI Ethics & Diversity Strategy (AI World Series Awards 2025), recognising Intent HQ’s AI innovation, analytics excellence, and ethical leadership. Intent HQ is a proven partner for leaders seeking measurable growth, faster decision velocity, and responsible AI-driven advantage.
To learn more, visitwww.intenthq.com
About the Role
We’re looking for a marketing-focused Growth Engineer to drive measurable business impact across acquisition, activation, and revenue. This role is built for engineers who think like marketers, or marketers who think like engineers — people who care deeply about user behavior, conversion, and growth metrics, and who use technology (especially AI) to move those numbers.
You’ll operate at the intersection of marketing, engineering, product, and data — owning growth initiatives end-to-end. From ideation to experimentation to implementation, your work will directly influence how users discover, engage with, and derive value from our product, whilst guided by the overall marketing and business strategy.
What You’ll Do
- Develop and execute growth strategies focused on user acquisition, conversion, and enterprise pipeline growth
- Build and optimise marketing surfaces (landing pages, signup flows, pricing pages, onboarding journeys)
- Run rapid experimentation cycles (A/B tests, funnel optimisations, messaging tests)
- Use AI tools to generate ideas, build experiments, and accelerate execution
- Improve conversion rates and time-to-value across the user journey
- Engage marketing cross-functionally whilst delivering as an individual contributor
What We’re Looking For
Core Traits
- Marketing-minded engineer/Engineer-minded marketer – you think in funnels, conversion rates, and user journeys, you deliver in code, workflows and APIs.
- AI-native – you actively use AI tools (e.g., for coding, analysis, content, experimentation) to 10x your output
- Entrepreneurial – proactive, scrappy, and focused on outcomes over process
- Experimental – comfortable launching imperfect ideas and iterating based on real-world results
- Data-driven – you rely on data to guide decisions and measure success
- Curious – constantly exploring new tools, channels, and growth tactics
Skills & Experience
Engineering
- Strong coding skills with the ability to ship quickly across the stack
- Experience building and iterating on web experiences (e.g., landing pages, funnels)
- Comfortable integrating APIs, automation tools, and AI workflows
Marketing & Growth
- Strong understanding of growth loops, funnels, and user acquisition strategies
- Experience with SEO, CRO (conversion rate optimisation), and lifecycle marketing
- Ability to connect technical work directly to marketing outcomes
- Experience of applying this in B2B mid and enterprise markets
Data & Analytics
- Experience designing and analysing experiments
- Strong understanding of metrics like CAC, activation rate, retention, and LTV
- Ability to derive insights from user and marketing data
Product & UX
- Good instincts for user experience, messaging, and conversion design
- Ability to independently make product and design trade-offs
What Success Looks Like
- Significant improvements in conversion rates, acquisition, and revenue metrics
- Set-up and introduction of new growth activation, not taking over existing activations
- High velocity of experiments and learnings
- Creative use of AI to unlock new growth channels or efficiencies
- Tangible impact on how users discover and adopt the products
About Intent
You leave a trail behind you every day — and it says more about what you will do next than anything you have told a company directly. Your phone registers when you fall asleep and when you wake. Your mobile network notices your commute. Your browser remembers that you wandered onto a competitor's site last Tuesday — and the Tuesday before that. You move through the world, and the world quietly takes notes.
Most companies lose the detail. A large mobile network generates hundreds of billions of events every single day — too expensive to keep in raw form. So your rich, specific, wonderfully complicated life gets compressed into an average. You become “males 25–34 in the southeast who browsed upgrades.” A bucket. A segment. And then that bucket gets blasted with messages — because when you cannot tell what someone actually wants, the only strategy left is frequency. Send more, send often, hope something lands.
We built something different. Intent runs two types of intelligence in parallel. Our cloud engine reads billions of events a day — weblogs, payments, app signals, CRM records — and finds behavioural sequences: chains of small actions that unfold in a recognisable order before someone switches, upgrades, or leaves. Our on-device Edge AI sits directly on the phone, reading 16,000 signals and distilling them into 750 insights about your current state — without any of that information ever leaving the device.
We manage over 300 million customer profiles. We underpin $115 billion in customer value. We hold 49 patents in behavioural AI, privacy architecture, and on-device intelligence. We were named AI Business of the Year 2025. And Verizon — with large data science teams of its own — has been our customer for seven years, because what we have built over a decade of patents, learning, and rigorous product development cannot be easily replicated.
Our Team
Around 110 people and growing, based across London, Barcelona, Lisbon, New York, and Tel Aviv. Engineers, data scientists, product designers, and commercial minds who collectively speak over 15 languages. United by a single conviction: when you understand human behaviour properly, relevance follows — and when relevance follows, so does value.
Why Join Intent
Work that matters at genuine scale.
Our clients have tens of millions of customers and billions of interaction events each day. You will not be optimising a landing page — you will be shaping how the world's largest enterprises understand and serve their customers.
Category-defining technology.
49 patents. An AI that reads 16,000 behavioural signals directly on your phone — data never leaves. A cloud engine that digests 250 billion events a day and delivers fresh intelligence in under 120 seconds. Privacy twins that make re-identification mathematically infeasible.
Global reach, real momentum.
Verizon, MTN Group, ABG Capital — across telecoms, financial services, retail, and social media. Expanding rapidly into Latin America, Africa, APAC, India, and the Middle East. AI Business of the Year 2025.
A place to grow — fast.
We are at an inflexion point: approaching profitability, launching a flagship agentic platform, and scaling commercially across seven regions. The people who join now will shape the next chapter.
Hybrid and flexible.
London-based roles work from the office three days a week, with the rest remote. Team members across Barcelona, Lisbon, New York, South Africa, Nigeria, Brazil, India, and Tel Aviv — a genuinely international team solving genuinely global problems.
Our Values — In Practice
Human-first. No one is average. We start with individual reality, motivation, and context — not statistical convenience or abstract users.
Principled. Privacy is a human right — a design principle, not a legal afterthought. Trust is foundational, not optional.
Ambitious. We anticipate the edge — looking ahead early and building what others assume cannot yet be built.
Inclusive. Intentionally relevant. Every interaction should earn its place — serving simply, with clarity in product, communication, and action.
In service. We serve simply — to our customers, to each other, and to the work itself. No unnecessary complexity, no ego in the way.