AI Product Manager

About Intent HQ Recognised by the Financial Times as one of the FT1000 Fast‑growing companies in Europe in 2022 and 2023, Intent HQ is a leader and innovator in Customer AI Analytics and Data Science with a blue‑chip international enterprise customer base and solid financial backing from our investors. Our mission is to become the world’s preeminent Customer Intent platform by bringing together privacy‑first signals intelligence, proprietary behavioural AI/ML analytics and uniquely accessible enterprise insights into a single platform that organisations will use to build more genuine, sustainable and profitable relationships with their customers.

Our initial focus solved problems for clients in the telecommunications sector, including Verizon and Orange. We have since expanded into the Financial Services, Retail and Social Media sectors, including HB Reavis and Zurich Group as clients to name a few. Our clients typically have tens of millions of customers and billions of interaction events each day. We have developed our platform to handle data at this enormous scale efficiently. Intent HQ is unique because we've focused on understanding customer interaction data. We do the hard‑specialised work leaving our clients free to focus on integrating the insight into their business, with one client seeing an additional £26m annual revenue as a result of using our products and services.

Intent HQ is an exciting place to work. We are very proud to have made our debut on the FT1000 Fastest Growing Companies in Europe for 2022! We have a talented team of about 100 people (and growing!) based in & around London, Barcelona, Lisbon and New York & Tel Aviv, collectively speaking over 15 languages.

Why Join Us

• Exciting Work Environment: Work on cutting‑edge technology at the intersection of AI and data analytics.
• Growth Opportunities: Advance your career in a fast‑paced, innovative industry.
• Hybrid working: Based in our London office 2‑3 days per week and the rest of the week remote, depending on location.

Role Context

This role sits within the Product & Tech organisation at Intent and partners closely with Data Science, Engineering, Client Services (to design and maintain quality standards) and other Product Managers. IntentAI is the inference layer that turns raw behavioural and device signals into the brands, topics, moments and, eventually, forward‑looking predictions (move, buy, churn) that make IntentOne valuable. IntentAI includes an Intent Semantic Layer that selects the right context for each goal and agent at scale, and is our core technical moat. Today that moat is real but under‑explained. This role owns that gap: setting the model north star, raising the bar on model quality and measurement, and making the intelligence legible to buyers, sellers and the team.

Role Summary

• Owning the product roadmap and north star for IntentAI: what our models predict, how good they need to be, and how that quality compounds into commercial value.
• Harmonising the Intent Semantic Layer across device and cloud signals, so behaviour captured on the device and in the cloud resolves into one consistent, trustworthy view of human context.
• Setting and operationalising the quality bar for models and enrichments (coverage, precision, recall, lift, freshness, drift, and cost at scale) so model performance is measured, visible, and improving. This role will be heavily data‑ and metric‑driven.
• Owning the product story of the semantic layer: explaining clearly why it is differentiated, how it makes sense of human context against a goal, and why it is hard to replicate.
• Translating model and signal capability into outputs customers trust, with explainability and confidence built in rather than bolted on.
• Partnering with Data Science and Engineering to prioritise the model roadmap, close evaluation and monitoring gaps, and turn research into shipped, reliable product.

Core Responsibilities

• Own the model north star and vision.
• Define what “good” looks like across the model portfolio (brand and topic affinity, intent segments, moments of need, propensity and churn), with a clear understanding of how it ladders to customer ROI.
• Maintain a prioritised model roadmap grounded in commercial impact, not research novelty, and make the hard calls on where signal and model depth create real advantage.
• Articulate a durable vision for how the intelligence layer compounds, with better signals and scale driving better models at lower unit cost.
• Raise and operationalise model quality. Set the evaluation standard for inference quality, coverage, cost, and scalability, measured by lift, precision, recall and proxy outcomes against ground truth and in‑market results.
• Work with QA to close known gaps in evaluation, drift detection and performance monitoring so quality is continuously observed, not discovered in incidents.
• Define maturity indicators, confidence thresholds and suppression rules so we never ship outputs that are misleading or unexplained.
• Explain the intent semantic layer: own clear, layered explanations for technical and non‑technical audiences, covering how it harmonises device and cloud signals, selects relevant context per goal, and keeps the platform accurate and cost‑efficient at billions of events.
• Turn the moat into language Sales and Solutions can use to connect the smarts of the platform to the customer promise, without overstating what the evidence supports.
• Make outputs trustworthy: ensure outputs are grounded in model evidence, with explainable scoring and clear confidence, so enterprise buyers trust how they are generated and how their own rules are handled, removing the “black box” objection.
• Translate model needs into clear product requirements and reusable platform capability with Data Science and Engineering, and own the trade‑offs across model richness, latency, cost and time‑to‑value.

What you’ll bring

• Deep fluency across the modelling stack, from supervised learning, propensity and uplift, to representation and embedding models, alongside modern LLM‑based systems. You understand how predictive models are trained, evaluated and shipped, not just prompted.
• A metrics‑first instinct: fluent in precision, recall, lift, AUC, drift and the economics of running models at scale. You explain complex intelligence simply and hold a high bar without stalling delivery.
• An exceptional flair for data translation and storytelling. You can turn complex models, signals and analytical outputs into clear, compelling narratives that make the intelligence intuitive, credible and actionable for technical and non‑technical audiences alike.

Diversity & Inclusion

Intent HQ is an equal opportunities employer with an ethos of commitment to promoting and practising diversity, equality and inclusion at work. At IHQ, different perspectives, ideas and experiences are valued and respected, with fair and equal opportunities provided for all. Our diversity and inclusion efforts have been recognised with us winning two consecutive Women in Tech UK Awards, under the Best Tech Employer (51‑149 Employees) category and being shortlisted for the Best Employer for Parental Support award.

Our Culture

Working for Intent HQ, you have the opportunity to work with cutting‑edge technology in an environment where you are encouraged to think and act outside traditional methods. We are a growing business with a flat structure meaning everyone is visible and able to make an impact, not just in their own role but across the business on a daily basis. We promote a collaborative, innovative and sociable culture, oriented towards performance and competitive advantage. Our DNA is made up of flexibility to all staff with a family‑friendly approach and focus on personal development. We have high expectations and pride ourselves on our cultural standards.

Benefits

• Private Medical Insurance (subject to eligibility)
• Income Protection with Employee Assistance Programme (EAP)
• Life Assurance
• Higher than statutory maternity & paternity benefits
• Pension scheme
• Flexible working
• 26 days holiday (increasing with service)
• Tech pack
• Training opportunities
• Wellbeing programme
• Oliva mental health platform & counselling
• Cycle to Work scheme
• Free access to onsite gym (including towel‑serviced changing rooms and showers)
• Free breakfast daily & healthy weekly lunch (when in office)