Director of Engineering, Core Experience

We are seeking an accomplished engineering leader to shape the shared product experiences and platform capabilities that connect multiple consumer-facing product areas. In this strategic role, you will lead engineering managers and senior technical talent, driving architecture, execution, and organizational excellence across a growing engineering organization. You will oversee critical systems spanning membership management, payments, rewards, credits, discovery, and personalized engagement. Working closely with Product, Design, Data, Growth, and Operations, you will help create seamless experiences that deliver meaningful value to members. You will also champion AI-enabled software development practices to improve engineering productivity while maintaining reliability and technical quality. This is an opportunity to influence product strategy, develop high-performing teams, and build scalable systems in a fast-moving, remote-first technology environment.

• At least five years of engineering people leadership experience, including managing managers and senior individual contributors, with at least two years at Director level or equivalent.

• Demonstrated success leading multi-team engineering organizations responsible for consumer-facing products, shared platforms, or both.

• At least three years of prior experience as a Senior Software Engineer or Technical Lead, with strong architectural judgment and the ability to guide senior engineers through complex technical decisions.

• Experience building or scaling membership platforms, rewards programs, credit systems, loyalty mechanisms, or other shared capabilities used across multiple product teams.

• Experience owning or contributing to platform infrastructure and services that support multiple product areas or business units.

• A strong track record of delivering significant product and platform initiatives while balancing speed, reliability, scalability, and long-term maintainability.

• Strong understanding of modern web architectures, distributed systems, and microservices, with deep expertise in either backend or frontend system design and working knowledge across the full stack.

• Comfort reviewing and guiding implementations within JavaScript and Python ecosystems, with familiarity with technologies such as React, Node.js, and Python.

• Experience designing, scaling, and operating production services, including performance optimization, reliability engineering, monitoring, and observability.

• Proven ability to drive strategic engineering initiatives, including organizational design, OKR planning, cross-team alignment, and execution in fast-moving environments.

• Experience partnering effectively with Product, Design, Growth, Data, Operations, and Finance teams to deliver customer-focused outcomes.

• Strong interest in AI-assisted software development and the ability to help teams adopt AI tools and workflows thoughtfully, effectively, and responsibly.

• Experience working in a startup or scale-up environment where ambiguity, rapid iteration, and evolving priorities are part of everyday work.

• Excellent communication, collaboration, and leadership skills, with the ability to align stakeholders, develop talent, and translate business objectives into clear engineering strategies.

Additional experience that would be an advantage:

• Building membership, loyalty, rewards, subscription, or credit-based systems.

• Developing personalization, recommendation engines, or AI-driven product experiences that improve discovery, cross-selling, and engagement.

• Creating consumer-facing homepages, discovery interfaces, or engagement features.

• Building shared platforms that serve multiple product teams or business areas.

• Developing systems that support customer service and operational workflows.

• Integrating payment providers such as Braintree, Adyen, or similar platforms, particularly for subscriptions, memberships, and checkout experiences.

• Working on consumer platforms with multiple product verticals connected through common experiences.

• Familiarity with Python, Node.js, React, PostgreSQL, Redis, Docker, AWS, Kubernetes, RDS, GitLab, Datadog, Amplitude, Snowflake, Material UI, and related technologies.