Hybrid Engineering Manager – Targeting

at Madhive

• Job title: Engineering Manager – Targeting
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: $230,000 - $255,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Distributed Systems, Google Cloud Platform, SQL
• Location requirements: Hybrid, New York City, United States

About the role

• Engineering Manager leading a team of engineers for data-driven ad targeting and forecasting at Madhive. Fostering collaboration, technical growth, and product adoption while ensuring operational excellence.

Responsibilities

• Lead and manage a team of cross-functional engineers responsible for the design, development, and maintenance of streaming data pipelines, data partner integrations, data warehousing, forecasting and ML-driven audience construction in a collaborative & agile development environment.
• Apply deep expertise in Data and System Architecture to streamline data processes to act as a technical north star for the team.
• Guide the team in utilizing advanced statistical and machine learning models to build new offerings for our customers.
• Identify and manage cross-team dependencies; facilitate communication between multiple initiatives.
• Effectively navigate the organization and partner with various functions, including (but not limited to) Product, Sales, Finance, and Customer Success, to gather requirements and ensure successful product development and implementation.
• Hire and nurture engineers through mentorship and career advocacy. Provide goals, career paths, promotion guidance, and motivation to your direct reports.
• Contribute to the adoption of robust software architecture, development of best practices, and new technologies.
• Foster adoption of ML coding assistant technology, articulating best practices and guardrails for effective and safe delivery of roadmap deliverables.
• Be an advocate for the vision of our product team.
• Facilitate daily standups, resolve blocked tasks, assist with planning and estimation, and host retrospectives.
• Ensure a culture of operational excellence, managing and addressing on-call duties and responding to production incidents as they occur.
• Act as a point of escalation by actively measuring and reducing the operational burden of your teams, all while taking a data-driven approach to measuring success.

Requirements

• 8+ years of hands-on industry experience and a bachelor's degree in a STEM field or 10+ years of hands-on industry experience.
• 3+ years actively mentoring and directly managing software engineers.
• Strong background in statistical analysis and machine learning techniques.
• Experience managing machine learning teams, demonstrating the ability to lead and guide engineers in developing and implementing advanced models for forecasting.
• Expertise in SQL for data manipulation, querying, and pipeline management.
• Experience leading an Agile delivery team to plan and develop products iteratively.
• Deep understanding of design patterns, software development methodologies, and principles.
• You have experience developing protobuf and JSON-based API endpoints.
• Strong understanding of cloud infrastructure and cloud computing concepts, ideally on GCP.
• Experience building large-scale distributed systems, solving problems including scalability, reliability, observability, validation, cost efficiency, etc.
• Previous experience in Adtech is preferred.

Benefits

• We embrace our differences and believe they fuel our creativity.
• Commitment to cultivating a culture of inclusion and collaboration.