Top Tech Jobs & Startup Jobs

Design and own the architectural vision for applying AI across the data platform, build AI-native tools and agentic pipeline factories, define ML/deep learning workloads (including vector/semantic search), establish standards for interoperable, observable ML data flows, and partner with engineering and ML teams to deliver scalable, secure, production-grade AI and data systems.

Manage the Financial Crimes Compliance program, implement AML policies, oversee audits, enhance strategies, and communicate compliance metrics to senior management.

Senior HR Business Partner who will lead a team of HRBPs and partner with senior Technology and UK leaders to design and deliver people strategies. Responsibilities include organizational design, change management, employee relations, workforce and succession planning, performance management, and partnering with People COEs. Use data to diagnose complex issues, influence leaders, and improve organizational effectiveness while driving integrated people solutions across the business.

Lead design and implementation of scalable batch and streaming data pipelines and platforms. Define data architecture standards, drive engineering best practices, mentor peers, and collaborate with product, analytics, and data science to deliver reliable, high-performance data solutions.

Manage and optimize a multi-million-dollar retention (generosity) budget by building forecasting models, performing deep-dive analyses, supporting experimentation, and turning results into actionable investment recommendations. Partner with finance, analytics, and commercial teams, mentor a Customer Marketing Associate, and present insights to senior stakeholders to maximize ROI and improve forecasting rigor.

Perform performance analytics, reporting, and customer segmentation for sportsbook generosity campaigns. Analyze customer behavior and promotional engagement, build hypotheses, validate data quality, maintain reporting, create clear visualizations, and collaborate with stakeholders to optimize campaign performance. Use SQL and Excel daily and leverage AI responsibly to accelerate analysis.

Lead scaling and operationalizing enterprise AI by coordinating cross-functional programs, establishing portfolio and governance processes, driving prioritization and roadmaps, preparing executive communications, measuring business impact, and enabling adoption. Partner with product, engineering, security, data, and business stakeholders to move AI initiatives from idea to pilot to scaled delivery and resolve organizational bottlenecks.

Lead conversion strategy for FanDuel Casino, optimizing customer journey from acquisition to activation through data-driven analysis, reporting, experiments, ASO, and cross-functional collaboration to drive growth and improve funnel metrics.

The Staff Machine Learning Engineer will design and implement ML systems, build scalable architectures, collaborate with data teams, and drive technical strategy for AI applications.

The Staff Data Architect will design complex data solutions, lead data architecture initiatives, and oversee data governance while collaborating with various teams to meet business objectives.