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About the Role
IntentAI is the inference layer that turns raw behavioral and device signals into brands, topics, moments, and predictions. This role owns the gap in explaining the model's north star, raising model quality and measurement standards, and making the intelligence legible to buyers, sellers, and the team.
Responsibilities
- Own the product roadmap and north star for IntentAI, defining model predictions, quality standards, and their compounding commercial value.
- Harmonize the Intent Semantic Layer across device and cloud signals for a consistent view of human context.
- Set and operationalize quality standards for models and enrichments, focusing on measurement, visibility, and improvement.
- Own the product story of the semantic layer, explaining its differentiation, contextual relevance, and replicability.
- Translate model and signal capabilities into trustworthy customer outputs with built-in explainability and confidence.
- Partner with Data Science and Engineering to prioritize the model roadmap, address evaluation gaps, and integrate research into reliable products.
Requirements
- Deep fluency across the modeling stack, including supervised learning, propensity and uplift, representation and embedding models, and modern LLM-based systems.
- Understanding of how predictive models are trained, evaluated, and shipped.
- Metrics-first instinct, fluent in precision, recall, lift, AUC, drift, and the economics of running models at scale.
- Ability to explain complex intelligence simply and maintain high standards without stalling delivery.
- Exceptional flair for data translation and storytelling, turning complex models and analytical outputs into clear, compelling narratives for diverse audiences.
Skills
- Supervised learning
- Propensity modeling
- Uplift modeling
- Representation modeling
- Embedding models
- LLM-based systems
- Model evaluation
- Model shipping
- Precision
- Recall
- Lift
- AUC
- Drift detection
- Data translation
- Storytelling
Location
- London
- Remote
Work Type
- Hybrid
Experience Level
- Mid-level
Benefits
- Private Medical Insurance
- 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
- Free breakfast daily
- Healthy weekly lunch (when in office)
About the Company
- Recognised by the Financial Times as one of the FT1000 Fast growing companies in Europe in 2022 and 2023.
- A leader and innovator in Customer AI Analytics and Data Science with a blue chip international enterprise customer base and solid financial backing.
- Mission to become the world’s preeminent Customer Intent platform by bringing together privacy-first signals intelligence, proprietary behavioural AI/ML analytics & uniquely accessible enterprise insights.
- Platform designed to handle enormous data scale efficiently.
- Clients have seen significant revenue increases using their products and services.
- An exciting place to work with a talented team of circa 100 people (and growing!) based in London, Barcelona, Lisbon, New York & Tel Aviv.
- Promotes a collaborative, innovative and sociable culture, oriented towards performance and competitive advantage.
- DNA includes flexibility, a family-friendly approach, and a focus on personal development.
- High expectations and pride in cultural standards.
Equal Opportunity
- An equal opportunities employer with an ethos of commitment to promoting and practicing diversity, equality and inclusion at work.
- Different perspectives, ideas and experiences are valued and respected, with fair and equal opportunities provided for all.
- Recognised with winning two consecutive Women in Tech UK Awards, under the Best Tech Employer (51-149 Employees)’ category & being shortlisted for the Best Employer for Parental Support award.