- Location
- Remote job
- Workplace
- Remote
- Type
- Full-time
- Department
- Data
- Seniority
- Senior
- Source
- Recruitee
Description
Location: Canada
What are we building?
Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social gaming company in the world. We’re building a team that resonates passion for learning, operating, and building new products and technologies for millions of consumers. We care about each customer interaction, experience, behavior, and insight and strive to ensure we’re always acting authentically.
Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We’re taking that foundation of success and bringing it to the digital space - ready to join us?
What’s the position?
We're hiring an AI Forward Deployed Engineer to build agentic and generative AI for CRM and Marketing. You'll ship production features, not prototypes, that help us acquire, engage, and retain millions of players across sportsbook, casino, and social casino, working alongside the CRM, Growth, Data Science, and AI Platform teams.
Expect to work hands-on with agents, prompt engineering, and RAG over our customer and product data. Because we operate in a regulated space, responsible gaming and compliance are built into everything you ship.
What you'll do
Build and ship agentic and generative-AI features for CRM and marketing, from the Python and FastAPI backend to the Next.js frontend.
Power personalization and decisioning, including next-best-offer, recommendations, and audience and value-based segmentation from behavioral and LTV signals.
Generate and optimize lifecycle and marketing content with LLMs, keeping it on-brand, localized, and compliant with responsible-gaming rules.
Model customer lifecycle states and journeys, and surface the growth levers that move retention and LTV.
Integrate deeply with Braze, including Canvas and Journey orchestration and syncing lifecycle state onto user profiles.
Build the data and retrieval foundation: RAG, vector search, and MCP servers over our Snowflake and dbt marts.
Measure impact through attribution, ROAS, and treated-versus-holdout experiments on acquisition, retention, and LTV.
Ship reliably in production and keep pace with advances in AI and martech.