Senior Engineering Manager

Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.

Our success is powered by extraordinary people who bring our core values—Trust, Growth Mindset, Balance, and Humility—to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.

With a global presence—including offices in San Francisco, New York, Denver, London, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!

How You Will Make an Impact

As a Senior Engineering Manager for the Outcome Management team, you will lead the charge in scaling the intelligence and analytics layer of our platform. You will be a key technical leader responsible for the teams that sit at the critical intersection of data, analytics, and experimentation. The Iterable platform, as a whole, ingests billions of events and powers billions of messages monthly. Your teams will focus on building highly scalable systems that enable our enterprise customers to measure, understand, and optimize their results. As a technical leader, you are responsible for growing and enabling three critical teams to innovate and deliver the enterprise-grade components that turn our customers' data into actionable insights.

This role is ideal for a hands-on, data-savvy engineering leader who thrives in fast-paced environments, can cut through ambiguity, and consistently turns vision into action. You'll collaborate with execs, customers, and cross-functional partners to drive technical execution while helping shape the future of Iterable’s data and insights ecosystem.

One of our core values is growth mindset, and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

How You Will Make a Difference

• Lead and grow multiple high-impact engineering teams delivering enterprise-grade, scalable, and reliable software products.
• Work across Product, Data, and Customer Experience teams to identify, build, and deliver data-powered features that delight marketers.
• Own long-term technical direction for our Outcome Management stack, including data pipelines, data modeling, and in-product analytics.
• Serve as a thought partner to senior leaders and execs; act as a customer advocate during product and architectural planning.
• Prioritize ruthless execution by fostering a bias for action, embracing lean principles, and removing roadblocks for your teams.
• Be a mentor and coach to a diverse, high-performing team; invest in career growth and create a culture of technical excellence and accountability.

We Are Looking for People Who Have

• Proven experience leading engineering teams building enterprise-grade SaaS applications and data platforms.
• Deep expertise in modern data infrastructure technologies such as Snowflake, Kafka, Pulsar, Postgres, ElasticSearch.
• A background in building at scale—managing large data sets, high-throughput systems, and low-latency APIs.
• Strong architectural instincts and the ability to guide system design decisions for data processing, experimentation frameworks, and observability.
• Demonstrated ability to engage directly with customers and stakeholders, gather feedback, and translate it into produc