About the role

Engineering Manager overseeing behavioral decisioning system development for marketing automation at Movable Ink. Leading a team to define impactful triggers and ensure reliable solutions.

Responsibilities

Recruit, mentor, and grow a diverse team of engineers building behavioral decisioning capabilities. Foster a culture of ownership, curiosity, and continuous improvement.
Partner with Product to define and evolve the roadmap for behavioral decisioning capabilities. Help identify the most impactful behavioral triggers and ensure the team is building systems that unlock real customer value.
Drive key initiatives from idea to delivery — translating product goals into clear technical plans and ensuring the team ships high-quality, reliable solutions.
Lead development of services that transform raw activity signals into actionable trigger events powering use cases like cart abandonment, browse abandonment, price drops, and back-in-stock alerts.
Provide hands-on technical leadership for systems that detect behavioral patterns across events, correlate signals across time windows, and determine trigger eligibility.
Help architect systems that maintain short-lived behavioral state and lookback windows needed to evaluate patterns such as “action without completion” or multi-event intent signals.
Collaborate closely with Data Platform, Messaging, and Activation teams to ensure behavioral signals integrate cleanly into campaign orchestration and message delivery systems.
Ensure behavioral services operate reliably at scale as they process high volumes of customer activity signals. Use observability, metrics, and postmortems to continuously improve system quality.

7+ years of software engineering experience, including 3–5 years managing engineers, with a track record of recruiting, mentoring, and growing high-trust teams with strong ownership and accountability.
A player-coach leadership style comfortable guiding engineers while staying close to the technical work and contributing to architecture, design, or implementation when needed.
Strong experience designing and operating distributed or event-driven systems, with sound architectural judgment around stateful services and real-time decisioning systems.
Demonstrated success building scalable backend services in cloud environments (preferably Google Cloud Platform), including familiarity with event streaming, pub/sub systems, and asynchronous processing.
Familiarity with systems that process high-volume event data, such as event stream processing, behavioral analytics, or rule/decisioning engines.
A strong focus on operational excellence building reliable systems with monitoring, alerting, incident response, and shared ownership of on-call responsibilities for business-critical services.
Clear communicator and collaborator who can translate technical tradeoffs into practical decisions with product and business stakeholders.