strongmetrics
Website:
strongmetrics.io
Job details:
Company Description strongmetrics is a new-age adtech platform focused on smarter mobile user acquisition and intelligent audience targeting. By combining AI-assisted technology with rich audience signals, the company delivers transformative performance for digital campaigns. Its mission is to supercharge campaigns, boost ROI, and help brands achieve measurable, scalable success. strongmetrics emphasizes innovation, precision targeting, and impactful advertising outcomes. Team members join a culture that values experimentation, data-driven decisions, and continuous improvement in advertising effectiveness.
Role Description The Adtech Engineering Manager at strongmetrics is a full-time, on-site role based in Gurgaon. This role oversees the end-to-end development of adtech systems, including bidding engines, data pipelines, and targeting platforms, ensuring they are scalable, reliable, and performant. The Adtech Engineering Manager leads a team of software engineers, sets technical direction, reviews architecture and code, and enforces best practices in security, testing, and deployment. Day-to-day responsibilities include prioritizing and planning projects, collaborating with product and data teams, managing integrations with ad networks and attribution partners, and monitoring system health and performance. The role also involves mentoring team members, driving continuous improvement, and ensuring timely delivery of high-quality features that support business goals.
Qualifications
- Strong Engineering Management and Team Leadership skills, with experience building and guiding high-performing engineering teams.
- Hands-on Software Development expertise in modern languages and frameworks, ideally in data-intensive or adtech platforms.
- Proficient Project Management capabilities, including planning, prioritization, stakeholder communication, and delivery ownership.
- Experience with Integration of third-party APIs and services, especially ad networks, analytics, and attribution platforms.
- Solid understanding of digital advertising technologies, programmatic bidding, tracking, and audience targeting.
- Experience with cloud infrastructure, microservices, and data pipelines (e.g., streaming, ETL, distributed systems).
- Ability to mentor and coach engineers, foster an inclusive and collaborative culture, and promote engineering best practices.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Strong analytical and problem-solving skills, with a data-driven approach to decision-making and optimization.
- Clear and effective communication skills for cross-functional collaboration with product, data, and business teams.
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