Director of Engineering, Gong

• 8+ years in software engineering, with 3+ years in engineering leadership (managing managers)
• Proven experience leading teams focused on data platforms, ingestion, or integrations
• Track record of scaling teams and systems in high-growth environments
• Strong background in distributed systems and data pipelines (streaming and batch)
• Experience with technologies such as Kafka, Spark, Flink, Airflow, or similar
• Deep understanding of API design, event-driven architecture, and data modeling
• Familiarity with cloud platforms (AWS, GCP, or Azure)
• Experience building integration platforms (e.g., connectors, SDKs, partner ecosystems) is a strong plus
• Strong cross-functional partner with Product, Data, and Business teams
• Strategic thinker who can connect technical decisions to business impact
• Hands-on enough to guide architecture while empowering teams to execute
• Passionate about building inclusive, high-performing engineering cultures

Desirable

• We are looking for a Director of Engineering to lead our Communications/Data Capture and Integration teams
• This role is responsible for building and scaling the systems that ingest, process, and integrate data from diverse sources into our platform
• You will play a critical role in shaping our data strategy, ensuring reliability at scale, and enabling downstream analytics, product features, and AI capabilities
• This is a highly cross-functional leadership position, partnering with Product, Data, Infrastructure, and GTM teams to deliver high-quality, scalable data solutions
• Lead and grow engineering teams responsible for data ingestion, pipelines, and integrations (APIs, streaming, batch, third-party systems)
• Define technical strategy and roadmap for data capture, ingestion, and integration platforms
• Drive scalability and reliability, ensuring systems can handle high-volume, real-time data with strong SLAs
• Partner with Product and Data leaders to align on priorities, use cases, and delivery timelines
• Own architecture decisions across data pipelines, integration frameworks, and event-driven systems
• Improve developer productivity through better tooling, frameworks, and platform capabilities
• Ensure data quality, governance, and security across all ingestion and integration points
• Hire, mentor, and develop engineering managers and senior engineers, building a high-performing organization
• Establish best practices for observability, testing, and operational excellence