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Data Engineer

• Own the data platform strategy end-to-end — from ingestion architecture and scalable, multi-tenant data infrastructure to transformation pipelines, a modern BI layer, and how the platform grows as we add clients and data sources.
• Drive the AI-on-data layer. Partner with our AI engineer to define how agents and LLMs access, query, and act on platform data — semantic models, retrieval patterns, and in-warehouse AI primitives.
• Build and productize our integrations motion — ingesting data from a growing set of first- and third-party sources. Turn what today requires custom work into a repeatable, operable pattern.
• Lead and develop our data engineering team. You'll manage directly, set technical direction, and raise the bar on quality — starting with a tight-knit team with room to grow.
• Define the engineering standards for the data org — CI/CD, testing, infra-as-code, data lineage, governance, and observability — so the platform scales without fragility.
• Be a strong hands-on presence on the warehouse and transformation layer — fluent enough in Snowflake to contribute meaningfully alongside the team, not just oversee it.
• Partner with go-to-market teams to define what great looks like for client onboarding and data delivery, and drive engineering execution against that bar.

Data Platform Lead

Engineering Manager

• Lead, mentor, and grow a team of mobile engineers building consumer-facing iOS and Android applications
• Drive execution across the mobile roadmap while balancing speed, quality, scalability, and maintainability
• Partner closely with Product and Design to deliver intuitive, polished fan experiences
• Help evolve our mobile architecture and shared platform strategy across a multi-tenant ecosystem
• Collaborate with backend and platform engineering teams on APIs, data flows, observability, experimentation, and performance optimization
• Establish strong engineering practices around testing, CI/CD, monitoring, code quality, and operational excellence
• Foster a culture of ownership, collaboration, inclusivity, and continuous improvement
• Leverage modern AI development tools and workflows to improve team productivity, accelerate delivery, and enhance engineering effectiveness
• Participate in technical design discussions and provide guidance on architecture and long-term technical direction
• Support recruiting, interviewing, and onboarding efforts as we continue scaling the engineering organization

Mobile Engineering Manager

Full-stack Engineer

• Own and evolve the technical direction of the consumer platform, setting long-term architectural vision while making pragmatic, day-to-day technical decisions
• Make high-leverage architectural decisions across a modern TypeScript ecosystem, balancing speed, scalability, product quality, and long-term maintainability
• Serve as the technical “north star” for the pod through design reviews, code reviews, and deep technical guidance
• Stay deeply hands-on in the codebase, contributing to complex features, debugging production issues, and driving system design work end-to-end
• Partner closely with Product, Design, and Engineering leadership to shape roadmaps, challenge assumptions, and translate ambiguous problems into clear technical direction
• Raise the bar for engineering quality across performance, reliability, testing strategy, observability, and developer experience
• Actively mentor engineers by modeling strong engineering judgment
• Define and operationalize AI-assisted engineering workflows that meaningfully increase team velocity (not just individual productivity), using tools like Cursor, Codex, Claude, and others
• Participate in hiring and interviewing, helping to maintain a high technical bar of the organization
• Collaborate across engineering teams to influence shared systems, infrastructure, and cross-cutting platform decisions

Data Platform Lead

Mobile Engineering Manager

Technical Lead – Fullstack