T

Triple Whale

Shopify-focused e-commerce data analytics platform

Director of Engineering - Measurement

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeJerusalem, IsraelNo salary listed

About the Job

Requirements

  • Two to three years of proven experience managing engineering teams and leads across multiple teams, with accountability for people, delivery, and production systems.
  • A strong engineering individual-contributor background and significant hands-on experience as an engineer are required.
  • 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, identifying top performers and underperformance, and making 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, large language models, and agent-based workflows; ability to demonstrate this work, explain its limitations, and validate results.
  • High emotional intelligence and genuine respect for people, paired with clear accountability.
  • Low ego and intellectual honesty, including seeking expertise and changing views when evidence changes.
  • Native-level English proficiency, written and spoken, sufficient to lead nuanced technical discussions, write clear proposals, and represent the company with global partners.
  • Strong in-office presence at the Jerusalem office for at least three days per week.
  • Full availability in the evenings.

Responsibilities

  • Lead the Measurement engineering organization, currently spanning approximately five teams and 15 engineers, and scale the organization as it grows.
  • Own the area’s technical direction, execution, and operational performance, and shape the systems and team practices as the organization scales.
  • Stay close to the code and production systems, understand their details, data sources, decisions, blockers, dependencies, and trade-offs, and contribute hands-on where useful.
  • Identify where greater structure and stronger processes will improve team effectiveness without adding unnecessary bureaucracy or compromising speed.
  • Connect business priorities, customer needs, and technical context across Measurement so teams can make clear decisions and deliver effectively.
  • Work closely with the Director of Product for Measurement and partner with leadership and team leads to translate company direction into engineering priorities, make trade-offs explicit, provide context, keep teams informed, and protect their focus.
  • Stay connected to leadership, the Director of Product, and team leads to align priorities across the domain and understand changing priorities.
  • Clarify evolving or competing requests, define practical next steps, and help teams move forward as details take shape.
  • Distinguish exploratory ideas from agreed changes in direction; clarify what continues, changes, or stops when priorities shift; make delivery implications visible; and protect teams’ focus.
  • Resolve cross-team dependencies, bring relevant people together, unblock decisions that team leads cannot advance alone, and follow decisions through to completion.
  • Coordinate through direct conversations and lightweight communication, giving teams context without unnecessary processes or becoming a bottleneck.
  • Turn unclear requests into clear next steps, maintain alignment as priorities change, unblock decisions and dependencies, and keep communication simple, direct, and efficient.
  • Set clear expectations for delivery, technical quality, people management, and ownership.
  • Own hiring, organizational structure, and performance management, and address people and performance issues directly and respectfully.
  • Give team leads authority to make decisions independently and hold them accountable for outcomes.
  • Provide candid feedback and practical support while expecting people to take ownership of their continued growth.
  • Build trust so people raise concerns early, challenge assumptions, and act on problems beyond their assigned tasks.
  • Shape engineering direction in partnership with the Director of Product and engineering leadership.
  • Balance near-term business priorities with long-term technical needs, including reliability, data correctness, infrastructure cost, and technical debt.
  • Understand the broader impact of decisions and make clear recommendations based on trade-offs, costs, and delivery implications.
  • Move quickly when decisions are reversible, apply greater rigor when stakes are higher, and adjust as new information becomes available.
  • Know the systems the teams own and stay deep in their technical details.
  • Contribute to designs, code, debugging, or production issues when involvement can help.
  • Ensure systems are reliable, accurate, scalable, and cost-effective, and take ownership of critical technical issues through resolution.
  • Stay technically involved without taking ownership away from team leads.
  • Serve as the primary engineering counterpart to the Director of Product for Measurement and share accountability for customer outcomes.
  • Resolve disagreements between Product and Engineering through clear reasoning and explicit trade-offs.
  • Explain complex technical issues clearly to leadership and nontechnical stakeholders.
  • Represent the company in technical and strategic discussions with partners such as Meta, Google, and TikTok.
  • Use AI extensively in coding, technical investigation, analysis, and planning.
  • Build and improve AI-assisted workflows and agent-based automation that solve practical problems for the teams.
  • Expect team leads to develop practical AI proficiency and apply it to their work.
  • Validate AI-generated output and maintain standards for security, privacy, and data quality.
  • Evaluate tools through hands-on use and demonstrated results.

Desired Qualifications

  • Experience in marketing measurement, attribution, adtech, ecommerce analytics, or related domains.
  • Familiarity with multi-touch attribution, marketing mix modeling, incrementality, identity resolution, or event tracking.
  • Experience collaborating directly with large companies such as Meta, Google, or TikTok on integrations, measurement, or data partnerships.
  • Experience with streaming data systems and analytical databases such as ClickHouse, BigQuery, Snowflake, or similar technologies.
  • Experience applying AI to data-intensive products or engineering operations beyond individual productivity.

About the Company

Triple Whale

Shopify-focused e-commerce data analytics platform

Triple Whale provides a data analytics platform for direct-to-consumer brands on Shopify. It aggregates data from Shopify, Facebook, Google Analytics, and TikTok into a single real-time dashboard, featuring the Triple Pixel for first-party tracking and AI-powered Moby Agents that automate attribution, performance monitoring, and insights across acquisition, conversion, and retention. It also includes inventory forecasting and customer journey analysis to optimize ad spend and improve lifetime value. The platform differentiates itself by prioritizing first-party data, automated AI insights, and an all-in-one suite for attribution, inventory planning, and customer analytics, with revenue-driven subscription plans that include agency partnerships.

Company size
201-500
Company stage
Series B
Total funding
$55.1M
Headquarters
Columbus, OH
Founded
2021

Recently Posted Jobs

Explore more opportunities at Triple Whale

See more jobs