We’re looking for a Lead Software Engineer to join 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 technical leadership role for someone who thrives at the intersection of big-picture architecture and heads-down implementation. You’ll help shape the technical direction for a critical platform capability while also staying close to the details: designing systems, writing code, reviewing implementation, mentoring engineers, and unblocking the team on complex technical problems.

You’ll work on challenging distributed systems problems involving high-volume event data, event correlation, temporal windows, stateful evaluation, trigger eligibility, account-specific readiness, idempotency, reliability, observability, and downstream activation. The systems you help build will power use cases like cart abandonment, browse abandonment, checkout abandonment, price drops, back-in-stock alerts, loyalty milestones, replenishment reminders, and audience membership changes.

What You’ll Do

• Shape the Behavioural Platform Architecture: Help define the technical vision, system boundaries, and architecture for services that transform customer activity signals into actionable trigger events.
• Lead by Example: Be a hands-on technical leader who contributes directly to high-impact work through design, implementation, code review, debugging, and production support.
• Build the Behavioural Decisioning Engine: Design and implement services that detect behavioral patterns across events, correlate signals across time windows, and determine trigger eligibility.
• Design Stateful Contact Context: Help architect systems that maintain the short-lived behavioral state and lookback windows needed to evaluate patterns such as “action without completion,” multi-event intent signals, and state-change-driven triggers.
• Establish a Reusable Pattern Framework: Help build declarative or rule-based capabilities that allow new behavioral triggers to be defined, configured, evaluated, and extended efficiently over time.
• Mentor & Guide Engineers: Provide day-to-day technical guidance, unblock engineers, review designs and code, and help raise the technical bar for the team.
• Plan & Deliver: Partner with the Engineering Manager and Product to turn ambiguous goals into clear technical plans, milestones, and incremental delivery paths.
• Partner Across the Platform: Collaborate closely with partner engineering teams to ensure behavioral signals integrate cleanly into campaign orchestration and message delivery systems.
• Drive Operational Excellence: Ensure Behavioural services operate reliably at scale as they process high volumes of customer activity signals. Use observability, metrics, traces, logs, alerts, and postmortems to continuously improve system quality.
• Influence Technical Direction Broadly: Represent the Behavioural team in architecture discussions and help create alignment around technical patterns, dependencies, and platform interfaces.

What You Bring

• 7+ years of professional software engineering experience, with a strong track record of building and operating backend or platform systems in production.
• Significant experience designing and operating distributed, event-driven, or high-scale backend systems.
• Strong architectural judgment around stateful services, real-time or near-real-time decisioning, asynchronous processing, system reliability, and production operations.
• Hands-on technical leadership experience: you are comfortable being the go-to person for unblocking, reviewing, mentoring, and leading complex technical initiatives end-to-end.
• Experience translating ambiguous product goals into pragmatic technical designs and incremental execution plans.
• Familiarity with systems that process high-volume event data, such as event stream processing, behavioral analytics, pub/sub systems, workflow systems, rule engines, or decisioning engines.
• Strong understanding of distributed systems concerns such as retries, duplicate events, ordering, late-arriving data, idempotency, backfills, partial failures, tenancy, and data consistency tradeoffs.
• Experience building scalable backend services in cloud environments, preferably Google Cloud Platform.
• A strong focus on operational excellence — building reliable systems with monitoring, alerting, logging, tracing, incident response, and shared ownership of on-call responsibilities for business-critical services.
• Clear communication skills and the ability to translate technical tradeoffs into practical decisions with Product, Design, engineering partners, and business stakeholders.
• A collaborative, product-minded approach to platform engineering — balancing technical quality with customer value and delivery momentum.

Why This Role Matters

Behavioural triggers power some of the most effective marketing experiences. When done well, they allow brands to respond instantly to customer intent — recovering abandoned carts, alerting customers to price changes, or reminding them to replenish products at the right moment. The systems your team builds will detect these signals and turn them into action — making the Behavioral platform one of the most strategic capabilities in the entire product.

The base pay range for this position is $147,300-$192,000/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

The AI Systems team owns the core recommendations engine that powers billions of AI-driven marketing decisions daily across some of the world's largest consumer brands. As a Senior ML Platform Engineer, you will lead the evolution of this system into a modern, scalable distributed architecture - one of the most impactful technical initiatives at Movable Ink. This is an opportunity to do deep distributed systems work on a production system that directly drives revenue for our customers, while shaping the technical direction of a team working at the intersection of systems engineering and machine learning.

Responsibilities:

• Lead the architectural evolution of the core recommendations pipeline to a modern distributed architecture, delivering incremental value while maintaining production stability
• Design, build, and operate scalable, fault-tolerant backend services that power personalization at scale across content selection, send-time optimization, subject line personalization, and frequency capping
• Identify and resolve performance bottlenecks, reliability risks, and scaling limitations across the system
• Collaborate with ML engineers and product stakeholders to translate requirements into rigorous technical designs with a clear path to production
• Own key system components end-to-end - from architecture and implementation to deployment, monitoring, and incident response
• Champion engineering best practices around system design, code quality, testing, observability, and operational excellence
• Mentor engineers and contribute to a culture of technical rigor, ownership, and continuous improvement

Qualifications:

• 5+ years software engineering experience with a focus on distributed systems
• Deep experience building and operating large-scale distributed systems that are fault tolerant, highly available, and highly concurrent
• Exemplary software engineering skills (system design, unit testing, git, code review, CI/CD)
• Strong foundation in Python
• Experience with distributed data processing frameworks (e.g. Apache Spark, Apache Flink, Apache Beam); hands-on Spark experience is a plus
• Practical understanding of distributed systems fundamentals: consensus, partitioning, replication, back-pressure, idempotency, and failure handling
• Experience with a cloud provider e.g. AWS, Azure, GCP (we use Google Cloud Platform)
• Experience with modern distributed and microservice technologies (we use Kubernetes, Kafka, and gRPC)
• Familiar with Software Development Lifecycle practices, such as continuous integration/continuous delivery and automated deployment (we use Docker, Kubernetes, and GitHub Actions)
• Strong technical leadership skills with the ability to collaborate effectively, advocate for sound architectural decisions, and mentor other engineers
• Exceptional problem-solving skills, including the ability to efficiently identify, analyze, and resolve complex issues in production systems
• A willingness and eagerness to continuously learn, adapt to evolving technologies, and strive for personal and professional improvement

The base pay range for this position is $143k-$200k CAD/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

The Senior Data Engineer, Event Data will join a newly formed team responsible for building the systems that ingest, process, and serve the massive volume of client and internal event data that powers Movable Ink's platform. This is a ground-floor opportunity to shape the architecture of a critical data domain, working with modern streaming technologies, analytical databases, and Elixir and Python to solve problems at billions-event scale. You will help define how event data flows through the platform, making it faster, more reliable, and highly available for teams and clients across the organization.

Responsibilities:

• Design, build, and maintain event streaming pipelines that ingest data from client systems, internal services, and third-party sources into the data platform
• Develop and operate analytical databases and data models optimized for high-volume event data queries and low-latency access
• Write production Elixir and Python services for event processing, transformation, and routing
• Integrate legacy event pipelines with modern streaming infrastructure, designing migration paths that minimize risk and disruption to downstream consumers
• Build and maintain monitoring, alerting, and observability tooling for event data systems, ensuring pipeline health, data freshness, and SLA compliance
• Define and enforce event schemas, data contracts, and quality standards in partnership with producing and consuming teams
• Collaborate with the data platform, product engineering, and analytics teams to understand data needs and deliver reliable event data products
• Participate in system design reviews and help establish best practices for the Events Data team

Qualifications:

• 6+ years of professional experience in data engineering or backend/systems engineering, with significant focus on event-driven and streaming data systems
• Strong proficiency in Elixir and/or Python as a primary programming language for building application connectors, data services and pipeline components
• Advanced SQL skills for data modeling, query optimization, and analytical workloads
• Hands-on experience with columnar/OLAP (Online Analytical Processing) databases at production scale
• Experience with stream processing frameworks and message brokers such as Apache Flink, Kafka, Pulsar, or Kinesis; Flink experience is a strong plus
• Demonstrated ability to integrate and migrate systems, bridging legacy and modern architectures
• Proven track record of operationalizing data pipelines, including building monitoring, alerting, SLA dashboards, and runbooks for production systems
• Experience designing and operating data systems on AWS; GCP experience is a plus
• Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries
• Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar
• Experience with retail events data such as clickstream, purchase events, or product interaction data is a plus

Experience with Databricks, Flink and message brokers such as Kafka, Pulsar, or Kinesis is a plus

The base pay range for this position is $145k CAD - $185k CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

As one of our Lead Site Reliability Engineers, you will combine hands-on technical expertise with strategic technical leadership across infrastructure and software development. You will own the design and evolution of major systems within our multi-cloud, multi-region, active-active content serving platform that serves upwards of 25 Billion requests daily. Through a combination of architectural vision, cross-team collaboration and mentorship, you will help drive the reliability initiatives and define the technical strategy that scales our platform to 50 Billion requests per day and beyond.

Responsibilities:

• Define and drive the automation strategy for infrastructure tooling, establishing standards that minimize manual work, increase performance and reduce incident frequency and severity of incidents
• Own the design, reliability and evolution of core platform applications, mentoring team members on best practices and ensuring systems meet long-term business objectives
• Architect and lead the logging platform strategy, driving its design and balancing availability, retention and cost optimization
• Establish capacity planning and performance management frameworks, proactively identifying scaling opportunities and guiding teams through complex troubleshooting scenarios
• Lead cross-functional reliability initiatives with SRE and service engineering teams, influencing architectural decisions and championing practices that ensure resilient service delivery
• Demonstrate a  high level of  autonomy in anticipating, identifying, and addressing systemic weaknesses and opportunities for platform improvement without direct supervision.

Qualifications:

• Proven track record in Site Reliability or Software Engineering, designing, building, and owning scalable, resilient services with a focus on long-term reliability strategy
• Deep expertise in architecting and operating complex distributed systems such as Apache Pulsar, Apache Kafka, Grafana Loki, ScyllaDB/Cassandra, with the ability to guide teams through distributed system challenges
• Designing and owning automation strategies to manage services at scale, with expertise in establishing performance analysis frameworks and mentoring others on diagnostics and resolution
• Deep, hands-on experience (6+ years) in Site Reliability or Software Engineering, specifically leading and shaping multi-cloud architecture and strategy (AWS and GCP).
• Experience architecting and leading large-scale observability platforms, including defining observability standards and SLO frameworks. We use Prometheus and Thanos with Grafana Alloy, Loki and Tempo
• Experience leading on-call excellence, including driving improvements to monitoring and alerting strategies, automating runbooks and mentoring team members on incident response best practices. Every member of the SRE team does a week long on-call rotation
• Expert-level proficiency with infrastructure as code, including defining IaC standards and patterns across teams. We use Terraform and Chef
• Advanced Kubernetes expertise, including cluster architecture design, multi-tenancy strategies, and guiding teams on container orchestration best practices. We use EKS and GKE
• Proficiency in multiple programming languages with the ability to design and review code that meets reliability standards. We use NodeJS, Golang, Ruby, Python and shell scripting
• Advanced Linux systems expertise, with the ability to diagnose complex system-level issues and mentor others on performance tuning and troubleshooting

The base pay range for this position is $154,000-$200,000 CAD/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

As a Senior Engineer on the Data Platform team at Movable Ink, you will help design and build the systems that power how data flows through the organization. You will play a key role in developing and operating the unified data platform responsible for ingesting, processing, and exposing large volumes of data that drive Movable Ink’s products. Working closely with teammates across engineering, analytics, and infrastructure, you will build scalable ingestion pipelines and backend services that integrate data from a variety of sources while ensuring reliability, governance, and high availability across the platform. You will help evolve legacy pipelines toward modern data architectures, and help drive the unification of our products and services in how they access data. Your work will directly impact the growth and maturity of Movable Ink’s products and services.

Responsibilities:

• Support the design and delivery of data ingestion pipeline and infrastructure
• Assist in the successful migration of legacy data lifecycle management to new platform without disrupting existing data consumers
• Establish and maintain SLIs and SLOs for new ingestion and data platform with dashboards and alerting to track performance
• Build flexible data storage layer supporting a variety of use cases, e.g., transactional, analytic, and machine learning workloads
• Implement comprehensive monitoring, observability, and incident response practices for all event data pipelines and services
• Collaborate with product engineering, analytics, and machine learning teams to define contracts, functional requirements, and standards
• Design and implement a semantic metadata layer that classifies and labels data assets across both products, enabling consistent data discovery, exposure policies, and identification of cross-product data reuse opportunities
• Architect and deliver a multi-tenant data model that supports secure data sharing and isolation across clients, with controls designed to meet regulatory and government compliance requirements

Qualifications:

• Deep understanding of data governance principles and data lifecycle management, including data quality, lineage, retention, and access control
• Strong familiarity with database backend technologies (OLAP vs. OLTP) and when to apply each, with hands-on experience using data warehouse technologies (Databricks, Clickhouse, Redshift, etc) at production scale
• Strong familiarity with SQL with the ability to write and optimize queries
• Skill at building complex systems and identifying core primitives and how to apply them to meet changing business needs and future roadmap requirements.
• Experience designing and operating data systems on a major cloud provider (AWS or GCP) and working in a multi-cloud deployment environment
• Proficiency with containerization and orchestration technologies, including Docker and Kubernetes
• Proven ability to integrate systems, connecting legacy platforms with modern architectures through well-designed interfaces and migration strategies
• Effective communicator who can facilitate system design discussions, document architectural decisions, and work across team boundaries
• (Nice to have) Familiarity with Elixir for building concurrent, fault-tolerant data services
• (Nice to have) Experience with data pipeline and streaming technologies such as Airflow, Kafka, Apache Flink, or similar
• (Nice to have) Hands-on experience with columnar/OLAP databases such as Databricks or ClickHouse
• Experience designing and operating data systems on AWS; GCP experience is a plus
• Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries
• Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar

The base pay range for this position is $145,000-$185,000/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

We are seeking a Distributed Systems Engineer to join the MovableInk Activation Team.  Our team is responsible for turning large scale data into actionable insights.  You will be responsible for the design and implementation of distributed software systems that handle data at massive speeds and scale. The role offers the opportunity for innovation and impact through the development of sophisticated multi-tiered systems, delivering value to the world’s biggest brands. You will create and deliver technically impressive and impactful products while driving the development and deployment of high quality, scalable AI solutions by writing code!

Responsibilities:

• Design, develop, and test high performance systems that operate at massive scale
• Gain an understanding of existing systems, determine areas of complexity, and potential risks
• Perform code and design reviews
• Act as a Subject Matter Expert on projects in which they have been involved
• Build reliable systems with monitoring, alerting, incident response, and shared ownership of on-call responsibilities for business-critical services

Qualifications:

• 5+ years software engineering experience
• Experience with working on with a large suite of interconnected services
• Exemplary software engineering skills (design, unit testing, git, code review)
• Fluency with AI coding tools (we use Anthropic); able to leverage LLMs to meaningfully accelerate delivery without sacrificing code quality
• Experience with cloud computing platforms (we use Google Cloud Platform)
• Proficient in database management, including designing database schema, crafting efficient queries, performing basic DBA tasks, and knowledgeable regarding common databases
• Ability to collaborate with technical partners – you’ll be working closely with other teams to determine requirements for your work and to make design decisions that affect our stack 

The base pay range for this position is $140,000-$180,000/year CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

You’ll be joining an Analytics team responsible for all measurement, attribution, and the creation of an intuitive reporting UI for our digital marketing platform. This is a unique opportunity to shape how marketers view and interact with data - transforming raw metrics into insights that drive impactful campaigns and real business value. Join us to make your mark on a fast-growing team, take ownership of innovative projects, and work closely with cross-functional partners to build a product that marketing teams rely on daily.

Responsibilities:

• Design, build, and maintain scalable backend systems that power our measurement, attribution, and reporting capabilities
• Develop robust data pipelines and services to transform raw event streams and metrics into actionable insights
• Collaborate closely with stakeholders to define and shape a seamless, intuitive reporting UI that empowers users to understand and act on provided insights
• Own key backend components—from service architecture to deployment and monitoring—ensuring reliability, scalability, and performance at scale
• Champion engineering best practices around code quality, testing, observability, and system health
• Mentor junior engineers and contribute to a culture of technical excellence, ownership, and continuous improvement

Qualifications:

• 5+ years software engineering experience
• Experience building and maintaining large distributed systems at scale that are fault tolerant and highly concurrent
• Exemplary software engineering skills (design, unit testing, git, code review, CI/CD)
• Strong foundation in modern backend development (e.g. python, ruby, etc. - we use Python and Elixir)
• Experience with functional programming principles (we use Elixir)
• An understanding of common web based API architectures (RESTful, GraphQL) and technologies (gRPC)
• Experience with a cloud provider e.g. AWS, Azure, GCP (we use Google Cloud Platform)
• Experience with modern distributed and microservice technologies (we use Kubernetes, Kafka, RabbitMQ)
• Experience with both OLTP and OLAP systems, including designing schemas and optimizing queries
• Familiar with Software Development Lifecycle practices, such as continuous integration/continuous delivery and automated deployment (we use tools such as Docker, Kubernetes, Github Actions, etc.)
• Strong technical leadership skills with the ability to collaborate with others, communicate effectively, advocate appropriately and mentor more junior engineers to improve team efficiency 
• Exceptional problem-solving skills, including the ability to efficiently identify, analyze, and resolve complex issues, and communicate to others on the team how to contribute to the solutions for these issues.
• A willingness and eagerness to continuously learn, adapt to evolving technologies, and strive for personal and professional improvement

The base pay range for this position is $140,000-$180,000/year CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

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.

 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.

Qualifications:

• 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.