Über diese Director, Engineering - Comms Capture Stelle bei Gong.io
Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io.
At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career.
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.
Please note: We work on a hyrbid basis of 3 days per week in our Dame St. Office.
What You’ll Do
- 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.
What We’re Looking For
Leadership & Experience
- 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.
Technical Expertise
- 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.
Collaboration & Mindset
- 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.
Nice to Have
- Experience in SaaS, data-heavy products, or AI/ML-driven platforms.
- Background in customer-facing integrations (CRM, data warehouses, third-party APIs).
- Exposure to data privacy, compliance, and governance frameworks
