You'll own the GTM-facing software and data products our sales motion runs on, end to end.
That includes the data foundation underneath it and the signals that flag which accounts a rep should act on and when.
You'll also lead our hardest cross-functional projects, the ones that span many teams and systems.
You'll drive them to delivery, keep partner teams on track, and do it with a lot of autonomy.
Day to day you'll improve how we visualize pipeline, build sales tools that flag the right moment to reach out to a customer, and make the developer buying journey smoother.
The work is a mix of data engineering, full-stack product, and applied AI, and you'll build it on Cloudflare's own developer platform.
This role fits someone who works well in a fast-paced, ambiguous environment, likes turning messy business problems into working software, and can juggle several priorities at once.
Requirements
- 10+ years of software engineering experience with a demonstrated history of leading complex, organization-wide data initiatives.
- Deep expertise in building distributed systems and production infrastructure at scale, with proficiency in Go and strong working knowledge of TypeScript.
- Exceptional ability to navigate ambiguous problem spaces, identify the highest-impact technical work, and drive projects autonomously from conception through adoption—balancing pragmatic execution with long-term technical excellence.
- Deep analytical SQL and data modeling experience. Proven ability to manage complexity even at thousands of tables.
- Able to debug database and query performance issues using profiling tools and source code where applicable.
- Please be prepared to discuss specific examples of organization-wide technical initiatives you've led, particularly distributed systems or data infrastructure and their measurable business impact.
- Previous experience as a Principal Engineer, Staff+ engineer, or technical leader on platform, infrastructure, or task force teams that operate outside traditional product roadmaps with a focus on enabling GTM organizations.
- Columnar/OLAP or lakehouse experience (ClickHouse, DuckDB, BigQuery, Snowflake, Iceberg, Starrocks).
- Familiarity with the Salesforce data model and CRM/API integrations.
- Familiarity with deploying to bare metal and Kubernetes.
- Experience on Cloudflare Workers / edge platforms and analytics-engineering (dbt) workflows.
- Background in SaaS or product-led growth (PLG) GTM motions.
Core Competencies
Demonstrates extensive experience in leading complex data initiatives and building distributed systems at scale, with a strong focus on data engineering and full-stack product development. Proficient in navigating ambiguous problem spaces and driving projects autonomously while balancing execution and technical excellence.
Highest-signal resume keywords
- Software Engineering Experience
- Distributed Systems Expertise
- Proficiency in Go
- Analytical SQL and Data Modeling
- Experience with Cloudflare Workers
ATS Optimization Keywords
Hard Skills
- Go
- TypeScript
- SQL
- Data Modeling
- Debugging Database Performance
- Distributed Systems
- Cloudflare Workers
- OLAP Experience
- Kubernetes
- Analytics Engineering
Soft Skills
- Autonomous Project Management
- Problem-Solving
- Cross-Functional Collaboration
- Adaptability
- Communication
Industry Keywords
- SaaS
- Product-Led Growth
- GTM Motions
- Data Infrastructure
- Technical Leadership
Tools & Technologies
- ClickHouse
- DuckDB
- BigQuery
- Snowflake
- Iceberg
- Starrocks
- Salesforce
- CRM Integrations
- Bare Metal Deployment
- Dbt