Engineering Manager, Targeting

Madhive•New York, NY

30d•$230,000 - $255,000•Hybrid

About The Position

Madhive is the leading independent and fully customizable operating system built to help local media professionals build profitable, differentiated, and efficient businesses. Madhive empowers sales teams to extend their reach into streaming and connects local advertisers with the communities they serve. Madhive’s platform provides the unique ability to reach local audiences at national scale, with premium supply partnerships and end-to-end tools for planning, targeting, and measuring full-funnel campaign outcomes. Powering campaigns for over 30,000 small and medium businesses per day, Madhive is driving the evolution of local media. Madhive is seeking an experienced Engineering Manager to join our Targeting team. The team's core responsibility lies in ingesting, processing and organizing data used to identify and target individuals for ad campaigns, and to build/maintain the foundational data science behind our forecasting tools. The successful candidate will lead a small team of world-class cross-functional engineers, possessing a strong background in both technical leadership and data-driven forecasting methodologies. You will drive efficiencies in our processes, tools, and automation, taking a data-driven approach to measuring your team's success. Our team strives to be motivated only by building the best software for our users. We seek to understand the "why" behind the "what." We regularly tackle problems, learn new technologies, or just share what we know with others. We test our code and invest in the health of our systems. We push each other, learn from each other, and strive to grow continually. This is a hybrid role, working 2-3 days a week at Madhive HQ in the Financial District of New York City.

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.

Nice To Haves

Previous experience in Adtech is preferred.

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.