About DISTINCT
At DISTINCT Technologies, we help the world’s most iconic brands, sports leagues, and entertainment venues convert the energy of live events into actionable intelligence. We are the premier data capture and lead generation solution powering experiences for the biggest names in the consumer world. From the Super Bowl to the World Cup, to music festivals and in-store activations, DISTINCT captures millions of consumer touchpoints each year and integrates directly into business critical enterprise platforms.
Our technology enables brands to enrich first-party data, surface real-time insights, and, through AI, turn that data into predictive, automated strategies that drive measurable business outcomes.
The Opportunity
We are entering our next stage of growth and are seeking a Vice President of Data Science and AI Engineering to make data science and AI the core of how brands act on live event data. Reporting to the Chief Technology Officer, you will lead the team that designs, builds, and ships DISTINCT’s data science and AI products: the models, agents, and intelligent workflows that turn millions of real-time consumer touchpoints into predictive insight and automated activation.
DISTINCT already runs AI in production, including real-time AI dashboards at global activations, voice-driven data capture in our Operator mobile app, and AI-assisted analytics for enterprise customers. Your mission is to take that from features to a platform capability: an AI engine, built on our canonical data model, that enriches first-party data, predicts consumer behavior, generates insight in plain language, and triggers the next best action across the brand’s marketing stack. You will own the roadmap, the architecture, the team, and the outcomes.
Key Responsibilities
Data Science & AI Product Strategy
- Define and own the data science and AI engineering roadmap in partnership with the CTO, Product, and customer-facing teams, prioritizing capabilities that create measurable value for brands: enrichment, persona and audience modeling, predictive insights, conversational analytics, and automated activation.
- Translate customer requirements and field feedback into well-scoped AI features, and pressure-test them with real customers before general release.
- Lead the data science practice: persona and audience modeling, propensity and lookalike models, enrichment and identity matching, experimentation, and the statistical rigor behind every insight DISTINCT reports.
- Establish how DISTINCT evaluates model quality, AI safety, cost, and business impact, and report on it.
Architecture & Delivery
- Design and build the AI platform layer: model serving, retrieval and context management over the canonical data model, agentic workflows, evaluation pipelines, and the guardrails required for enterprise deployment.
- Lead hands-on delivery of AI products, including large language model applications, predictive models, and real-time inference during live activations.
- Partner with Platform Engineering and Analytics and Insights on data pipelines, infrastructure, security, and cost management so AI capabilities are reliable and scalable in production.
Team & Responsible AI
- Build, mentor, and lead a high-performing team of data scientists and AI engineers, and set the standards for experimentation, evaluation, and shipping.
- Define responsible AI practices for consumer data: consent-aware modeling, privacy, bias monitoring, and transparency that meet the expectations of Fortune 500 brands and their legal teams.
- Represent DISTINCT’s AI capabilities to enterprise customers, partners, and investors.
Qualifications
Required
- Data Science & Applied AI Leadership: 10+ years in data science, machine learning, or AI engineering with 4+ years leading teams that shipped models and AI products to production at a B2B SaaS or data company.
- Data Science Depth: Strong command of statistics, experimentation, and predictive modeling on customer and behavioral data, including segmentation, propensity, and identity or entity resolution.
- Modern AI Stack: Hands-on depth with large language models and agentic systems (prompting, retrieval, tool use, evaluation, fine-tuning where warranted) alongside classical machine learning for prediction and segmentation.
- Production Engineering: Experience designing model serving, inference, and evaluation pipelines that run reliably at scale, with attention to latency, cost, and observability.
- Data & Marketing Domain: Working understanding of first-party data, identity, consent, and the marketing and CRM systems where AI-driven actions land.
- Executive Communication & Team Building: Proven recruiter and mentor of AI talent, able to explain technical choices and business impact clearly to executives, customers, and the board.
Preferred
- Experience applying AI to marketing, advertising, CDP, or customer data use cases: enrichment, propensity modeling, next-best-action, or audience insight.
- Experience with real-time or streaming inference, voice or multimodal capture, and mobile applications.
- Familiarity with enterprise AI governance, privacy regulation, and security review processes.
- Prior experience at a growth-stage company where you built the AI function from an early foundation.
Why Join DISTINCT?
- Work with global brands at the intersection of live experiences, data, and technology.
- Shape the future of how brands and consumers connect by transforming fleeting live experiences into magic moments, predictive intelligence, and measurable results.
- Own the data science and AI strategy for a category-defining Live Intelligence platform with real production data from the biggest live events in the world.
- Build the data science and AI engineering team at a company where AI is the product, not a feature.