Engineering Manager, Data Collection

The Job Is a Good Fit If You

• Enjoy developing a multidisciplinary engineering team while balancing people leadership, technical strategy, delivery, and operations.
• Can set clear direction without needing to make every decision yourself.
• Coach through frequent feedback, meaningful delegation, and clear expectations.
• Use measurable outcomes such as coverage, freshness, accuracy, reliability, recovery time, and infrastructure efficiency to guide decisions.
• Are comfortable balancing speed, quality, cost, technical debt, operational risk, and customer impact.
• Believe engineering owns the full system lifecycle and works iteratively with Product and Research to solve ambiguous problems.

What You’ll Do

Lead and Develop the Team

• Lead, coach, and develop Scanner Engineers and Distributed Systems Engineers.
• Set clear expectations for ownership, quality, collaboration, delivery, and operational responsibility.
• Provide timely feedback, create meaningful growth plans, and delegate ownership of systems, projects, and decisions.
• Build a healthy, accountable team; identify staffing needs; and maintain a high bar for hiring, onboarding, and performance management.

Own the Roadmap and Delivery

• Define the Data Collection roadmap with Product, Research, Infrastructure, and engineering stakeholders.
• Connect priorities to measurable improvements in data coverage, freshness, fidelity, reliability, scalability, and cost.
• Keep the team focused on the highest-value work while managing scope, dependencies, staffing, and risk.
• Lead major initiatives from discovery through production delivery, clearly communicating timelines, tradeoffs, and risks.
• Translate research and exploratory work into maintainable production capabilities when appropriate.

Provide Technical and Operational Leadership

• Guide architecture across Internet scanning, orchestration, protocol implementations, distributed services, ingestion pipelines, APIs, and operational tooling.
• Establish standards for design, testing, rollout safety, observability, service ownership, and operational readiness.
• Be accountable for the quality, availability, maintainability, and cost efficiency of the team’s systems.
• Define and use metrics for scan execution, pipeline health, data freshness, protocol coverage, failure rates, and resource consumption.
• Support sustainable on-call and incident-management practices, ensuring follow-up addresses systemic causes.
• Identify architectural bottlenecks and strategic technical debt, evaluate the cost and benefit of addressing them, and recommend priorities.

What You’ll Bring

• Engineering management or team leadership experience (three years)
• A track record of leading a substantial technical initiative from planning through production delivery.
• Prior experience as a software or systems engineer building and operating production systems.
• Strong knowledge of distributed systems and networking fundamentals, including TCP/IP, DNS, HTTP, and TLS.
• Experience with data-intensive systems such as streaming services, ingestion pipelines, message queues, databases, schedulers, or high-throughput APIs.
• Experience operating critical systems in production, including monitoring, incident response, capacity planning, and reliability improvement.
• The technical fluency to contribute to architecture discussions, assess implementation risks, and support complex incident analysis.
• Demonstrated success developing engineers through coaching, feedback, and delegation, including engineers with different specialties.
• Strong project-management and communication skills, with the ability to turn broad objectives into clear priorities, milestones, and outcomes.
• A bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Things That Will Make You Stand Out

• Experience with Internet-scale scanning, network measurement, telemetry, security data, or distributed collection systems.
• Experience with Cloud stacks, like GCP or similar.
• Experience with streaming platforms or large-scale data stores such as Pub/Sub, Kafka, Bigtable, Spanner, or comparable technologies.
• A background in cybersecurity, Internet measurement, threat intelligence, security research, or productionizing research systems.

What Success Looks Like

A successful Engineering Manager for Data Collection will:

• Establish a clear charter and roadmap aligned with company, product, research, and customer priorities.
• Build a cohesive team in which Scanner Engineers and Distributed Systems Engineers share ownership of end-to-end outcomes and grow into broader responsibilities.
• Deliver major initiatives that measurably improve data coverage, freshness, fidelity, reliability, scalability, or cost efficiency.
• Improve operational visibility, service ownership, incident practices, technical-debt management, and delivery predictability.