Staff Engineer, Ads Business Manager
New
United StatesFull-TimeStaff
Salary$217,000 - $303,900 USD
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Job Details
- Experience
- 7+ years
- Required Skills
- PythonKafkaKubernetesGogRPCRESTful APIsData modelingDistributed Systems
Requirements
- 7+ years of experience in software engineering, building and operating production services at scale.
- Previous experience acting as a Tech Lead, Staff Engineer, or similar technical leadership role.
- Strong backend engineering expertise with proficiency in one or more programming languages such as Go or Python.
- Experience designing APIs and working with service frameworks such as gRPC or Thrift.
- Solid understanding of distributed systems, data modeling, and event-driven architectures using technologies such as Kafka or Pub/Sub.
- Experience solving complex scalability, reliability, and performance challenges in large production environments.
- Experience working with advertising technology, enterprise platforms, identity systems, access management, governance, or similar domains.
- Strong communication skills with the ability to collaborate across engineering, product, and business stakeholders.
- Proven ability to lead ambiguous, complex projects and align multiple teams toward shared outcomes.
- Strong product mindset with the ability to understand user needs and translate feedback into technical solutions.
- Experience using AI tools effectively across engineering workflows, including development, debugging, and productivity enhancement.
- Familiarity with technologies such as Kubernetes, cloud platforms, databases, caching systems, and modern web technologies is preferred.
- Experience building solutions for global enterprise customers, advertising agencies, or large-scale business platforms is a plus.
Responsibilities
- Define and execute the technical strategy for business identity, governance, permissions, and organizational management systems supporting customer-facing and internal platforms.
- Lead large-scale cross-functional engineering initiatives from initial concept and architecture through implementation, launch, and adoption.
- Build and improve backend systems that support enterprise customers, advertising partners, and business operations at scale.
- Design scalable solutions for distributed systems, performance optimization, reliability, and latency-sensitive challenges.
- Collaborate with product managers, designers, engineers, and partner teams to translate customer needs into impactful technical solutions.
- Conduct customer discovery and use data-driven insights to influence product roadmaps and platform improvements.
- Drive engineering excellence through mentorship, technical guidance, code reviews, documentation, and knowledge sharing.
- Improve existing systems through architectural enhancements, complex code modifications, and platform-level optimizations.
- Promote adoption of shared business infrastructure across multiple products and teams.
- Leverage AI-powered development tools throughout the software development lifecycle to improve productivity and engineering outcomes.
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