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Engineering Manager, Buying & Optimization

185k – 210kSan Francisco, CAHybrid7+ YOE
Summary

Engineering Manager leads a team building backend systems for automated TV/CTV media buying, ensuring high uptime and scalability. Requires 7+ years engineering experience including 2+ in management, AdTech expertise, and strong technical skills in Python, AWS, and APIs.

About the role

Responsibilities

  • Lead the design, development, and maintenance of core backend systems: data models, queries, and GraphQL APIs that power media buying and campaign execution.
  • Partner closely with Product Management to translate often complex media buying needs into well-defined technical requirements, execution plans, and milestones.
  • Ensure the team achieves 99.9%+ uptime for Campaign Execution services, including campaign/order processing, and traffic delivery.
  • Drive strong execution practices including sprint planning, prioritization, dependency management, and delivery commitments.
  • Provide hands-on technical leadership through architectural guidance, design reviews, and code quality standards—while remaining close enough to the work to unblock teams.
  • Continuously identify and pay down technical debt that could compromise reliability, scalability, or developer velocity.
  • Foster a healthy, inclusive, high‑ownership culture where engineers feel empowered to improve systems, processes, and the customer experience.
  • Manage and develop engineers through regular 1:1s, coaching, feedback, and career development conversations, fostering accountability and growth.

Qualifications

  • 7+ years of professional software engineering experience, including minimum 2 years in an engineering management role, preferably in a startup environment.
  • Experience in AdTech, with expertise in programmatic and CTV streaming advertising (linear TV experience is a strong plus)
  • Strong technical background in data modeling, APIs, and relational databases.
  • Familiarity with Python, AWS, Airflow, and queuing systems.
  • Data driven decision making: experience defining and using metrics/SLAs to guide priorities and measure impact.
  • Strong communicator with excellent people skills to interact with various teams inside the company.

Benefits

  • Total compensation ($185,000 - $210,000)
  • Equity compensation
  • Health insurance coverage for you and your dependents
  • 401K, FSA, and commuter benefits
  • $150 monthly spending account
  • $1,000 annual continued education benefit
  • $500 Newbie Productivity Perk
  • Unlimited PTO and sick days
  • Monthly Company Wellness Day Off
  • Snacks, drinks, and catered lunches at the office
  • Team building events
  • Hybrid RTO of 2 days per week in office
Skills
PythonAWSAirflowGraphQLRelational DatabasesAPIsData ModelingQueuing Systems
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