What you'll do
- Define the technical strategy and long-term roadmap for the Incentive Offers platform
- Architect scalable services for offer management, campaign eligibility, and business rule enforcement
- Design high-throughput infrastructure for real-time member communication and preference management
- Develop identity resolution systems that connect physical-world vehicle signals with digital member profiles
- Build robust attribution and measurement engines to track closed-loop redemption across diverse verticals
- Engineer seamless integrations between our platform and external partner systems or point-of-sale technologies
- Mentor senior engineering talent and advocate for high standards of engineering craft and efficiency
- Solve complex distributed systems problems related to high-volume transaction processing and data consistency
- Partner with Product and Marketing leaders to translate business objectives into scalable technical solutions
- Identify and resolve systemic bottlenecks to improve developer velocity and system reliability
What we're looking for
- Advanced degree in Computer Science or a related technical field
- 8+ years of experience building customer-facing applications and complex distributed systems
- Demonstrate expert proficiency in Scala, Java, or similar JVM-based languages
- Experience with AI/ML tools to improve engineering productivity or system intelligence
- Show a proven track record of leading technical strategy for significant engineering initiatives
- Possess a strong background in architecting data-intensive platforms and real-time event-driven systems
- Communicate complex technical concepts effectively to both technical and non-technical stakeholders
- Mentor engineers to foster a high-performance engineering culture and technical growth
- Design for operational excellence including observability, monitoring, and automated testing
- Navigate high levels of ambiguity and deliver results in a fast-paced environment
Nice to haves
- Familiarity with marketing technology stacks or consumer-facing loyalty platforms
- Experience working in high-growth startup environments or industry-leading tech companies
Our Stack
Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
Datastores: MySQL, PostgreSQL, Snowflake
Cloud: AWS
Version control: Git & GitHub
AI Tooling: Copilot on GitHub and Claude Code
Observability: Datadog
Compensation
Anticipated base salary: $200,000 - $250,000 USD annually (plus benefits, equity, bonus).