Manager, Engineering
About The Position
Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world’s most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and boost marketing agility. Headquartered in New York City with close to 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America, Europe, Australia, and Japan. We’re looking for an Engineering Manager to lead the Behavioral team, responsible for turning raw customer signals into meaningful marketing triggers. This team builds the behavioral intelligence layer of our platform, systems that detect patterns in customer activity and inactivity (such as cart abandonment, price drops, or loyalty milestones) and translate them into automated messaging opportunities. This is a hands-on, player-coach role that blends technical leadership with people leadership. You’ll guide a team of engineers while staying close to architecture and system design, helping build scalable systems that process high-volume event data and power real-time marketing decisions. You’ll set direction for the team while also rolling up your sleeves when needed, unblocking complex problems, shaping system architecture, and leading by example through technical contribution. You will report to the Senior Director of Engineering in this role.
Requirements
- 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.
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.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
