Were looking for a Director of Engineering to lead our Measurement engineering organization, currently spanning approximately five teams (15 engineers) and growing. Youll directly manage the team leads and own the areas technical direction, execution, and operational performance with the opportunity to shape both the systems we build and how our teams work as we scale.
This role is approximately 70% management and 30% hands-on technical work. To succeed , you need to understand the details deeply: how systems work, where data comes from, why decisions were made, and what is blocking progress. You should be comfortable moving from a leadership discussion into code, data flows, or a production investigation. Staying close to the code and production systems will give you a deep understanding of their intricacies, dependencies, and trade-offs, grounding your leadership in firsthand technical knowledge.
Requirements: 2-3 years of proven experience managing engineering teams and leads across multiple teams, with accountability for people, delivery, and production systems.
Strong engineering individual contributor background is a must with significant hands-on experience as an engineer.
Experience leading in a fast-growing startup, bringing clarity to evolving priorities and developing practical ways of working as the organization scales.
Strong coordination skills and the ability to manage frequent context switching without losing important details or leaving issues unresolved.
Sound judgment to balance competing input, set clear priorities, and help teams move forward confidently as details take shape.
Experience scaling engineering organizations, including hiring and developing strong leaders, building high-performing teams, and demonstrating strong judgment in identifying top performers and underperformance, with the ability to make clear, timely talent decisions when needed.
A strong hands-on software engineering background and current ability to read code, review architecture, and investigate complex production problems.
Significant experience working with big data and data engineering teams in very high-scale production environments.
A strong understanding of distributed systems, data pipelines, analytical workloads, and their operational trade-offs.
Deep attention to detail and the ability to learn unfamiliar tools, codebases, and domains independently.
Advanced, practical AI proficiency, including substantial use of AI coding tools, LLMs, and agent-based workflows. You can demonstrate your work, explain its limitations, and show how you validate results.
High emotional intelligence and genuine respect for people, paired with clear accountability.
Low ego and intellectual honesty. You seek expertise and change your view when the evidence changes.
Native-level English proficiency, written and spoken, sufficient to lead nuanced technical discussions, write clear proposals, and represent Triple Whale with global partners.
Strong in-office presence at our Jerusalem office, of at least three days per week.
Full availability in the evenings.
This position is open to all candidates.