Overview
On Site
Full Time
Skills
Business Strategy
Dynamics
Mentorship
Accountability
Innovation
Operational Excellence
Scalability
Architectural Design
Reporting
Testing
Documentation
Roadmaps
Due Diligence
Machine Learning (ML)
Leadership
Management
Analytics
Customer Facing
Clarity
Fluency
Collaboration
Data Analysis
Advertising
Job Details
This highly visible role involves partnering with Product, Commercial, and Data Analytics teams to deliver scalable, data-driven solutions and representing engineering in strategic conversations.
Responsibilities include:
Qualifications include:
Responsibilities include:
- Develop and lead the technical and strategic vision for the Programmatic Engineering team and its solutions.
- Be a senior engineering voice in cross-functional planning with Product, Commercial, Data Analytics, and Executive teams - helping shape business strategy through a deep understanding of the technical landscape and market dynamics.
- Represent engineering externally, articulating the roadmap, technical approach, and platform strengths to technical and non-technical stakeholders.
- Build and mentor a high-performing, multi-disciplinary team, fostering a culture of ownership, accountability, and innovation.
- Drive operational excellence and scalability.
- Lead architectural/design choices for event stream processing, prediction engines, data delivery APIs, and reporting infrastructure.
- Promote engineering rigor: best practices in design, testing, observability, documentation, and operational maturity throughout the development lifecycle.
- Act as a thought partner to senior leadership, offering a strategic engineering perspective in roadmap discussions, investment planning, and technical due diligence.
- Scale the team's scope and impact, identifying new ownership areas and evolving platform capabilities to meet emerging business needs.
Qualifications include:
- 10+ years of engineering experience, leading the delivery of large-scale data platforms, distributed systems, or ML-enabled products.
- 5+ years in engineering leadership, with experience managing managers or overseeing multi-team organizations.
- Proven ability to own and scale complex technical domains, particularly in data ingestion, analytics, and predictive systems.
- Comfortable representing engineering in executive and customer-facing settings, communicating architecture, delivery, and strategic trade-offs with clarity and confidence.
- Strong architectural judgment and fluency in modern data/backend systems; able to guide design discussions and partner effectively with senior technical leaders.
- Demonstrated ability to lead cross-functional initiatives in collaboration with Product, Data Analytics, and Commercial teams.
- A strategic, execution-oriented mindset, capable of influencing senior stakeholders and aligning engineering outcomes with business goals.
- Familiarity with ad tech and the programmatic advertising ecosystem is a plus.
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