Director Engineering

"Open only for Women Candidates"

Targeting Retail Media or companies that do campaign management

Job Summary

dynamic and experienced

define the

Key Responsibilities

Strategic & Technical Leadership

• Define and execute the engineering vision for the Retail Media Intelligence and Real-Time Processing Platform.
• Lead multiple engineering teams responsible for scalable APIs, real-time data processing, and machine learningbased recommendation systems.
• Collaborate with cross-functional teams to translate business requirements into high-performing technical architectures.
• Drive innovation through adoption of

  domain-driven design

  ,

  microservices

  , and

  event-driven architecture

  .
• Ensure timely delivery, adherence to SLAs, and alignment with overall business and product strategy.

Platform Engineering & Delivery

• Oversee the development of

  real-time data processing systems

   using technologies such as

  Apache Kafka

  ,

  Flink

  , and

  Spark

  .
• Architect and scale data pipelines that integrate

  retailer loyalty

  ,

  transaction

  , and

  media performance data

  .
• Build and operationalize

  AI/ML models

   that recommend optimal campaign strategies, audience segments, and performance forecasts.
• Ensure engineering excellence through robust DevOps practices, CI/CD automation, and continuous monitoring.

Data & Insights Enablement

• Partner with analytics and BI teams to deliver

  data products

   and

  visualization tools

   via platforms like

  Looker

  ,

  Power BI

  , or

  ThoughtSpot

  .
• Enable self-serve insights for stakeholders to measure performance, incrementality, and multi-touch attribution.
• Integrate predictive intelligence and planning capabilities into the broader media ecosystem for real-time decisioning.

People Leadership & Governance

• Manage, coach, and develop a high-performing engineering organization distributed across multiple locations.
• Establish a culture of innovation, collaboration, and continuous improvement.
• Define and track KPIs for engineering performance, quality, and delivery efficiency.
• Manage budget planning, capacity forecasting, and technical risk mitigation.
• Promote organizational values, ensuring compliance with the

  Code of Business Conduct

  , and support team development through training and mentorship.

Required Skills and Qualifications

• Experience:

• 12–18 years of experience in software engineering, including 5+ years in senior engineering leadership roles.
• Proven experience in

  retail media

  ,

  adtech

  , or

  martech

  , preferably within a

  DSP

  ,

  SSP

  , or

  Retail Media Network

   environment.
• Demonstrated success in developing

  real-time processing systems

  ,

  scalable APIs

  , and

  data-driven recommendation platforms

  .
• Strong background in

  distributed systems

  ,

  Apache Kafka

  ,

  event-driven architecture

  , and

  cloud-native development

  .
• Experience building and deploying

  AI/ML-enabled insights or planning systems

   for marketing and media optimization.

• Technical Expertise:

• Proficiency in

  .NET/Java

  ,

  Kafka

  ,

  Flink

  ,

  Spark

  ,

  GCP/AWS

  ,

  Kubernetes

  ,

  REST/GraphQL APIs

  , and

  modern BI tools

  .
• Solid understanding of

  microservices

  ,

  DDD

  ,

  CI/CD pipelines

  ,

  observability

  , and

  DevOps frameworks

  .

• Leadership Competencies:

• Strategic and hands-on leader capable of managing distributed teams and balancing innovation with delivery.
• Strong collaboration, communication, and stakeholder management skills.
• Ability to translate complex technical concepts into clear business impact.

Preferred Qualifications

• Prior experience leading platform or product engineering for

  retail media planning

  ,

  measurement

  , or

  campaign optimization

   tools.
• Familiarity with

  audience targeting

  ,

  programmatic advertising

  ,

  campaign booking systems

  , and

  media lifecycle management

  .
• Exposure to

  GDPR

  ,

  CCPA

  , and retail data governance standards.
• Advanced degree in Computer Science, Engineering, or related field