At Amperity, we’re an AI-first company helping the world’s leading brands create personalized customer experiences that build loyalty and fuel growth. Our AI-powered Customer Data Cloud, built on multi-patented technology, enables more than 400 global brands, including Alaska Airlines, Wyndham Hotels & Resorts, and DICK’S Sporting Goods, to turn customer data into a competitive advantage.
We unlock the full value of customer data with simplicity and speed. AI is at the core of our platform and the way we work — from powering advanced identity resolution and predictive analytics to streamlining internal workflows and decision-making. It’s not just a capability; it’s part of our DNA.
Our team thrives on curiosity, collaboration, and transparency, fostering a culture where everyone can contribute, learn, and grow. We welcome talented individuals from diverse backgrounds to help us remove data bottlenecks, accelerate business impact, and push the boundaries of what AI can do for the world’s most innovative companies.
With offices in Seattle, New York City, London, and Melbourne, you’ll join a fast-growing team tackling critical challenges at the intersection of AI, data, and customer experience. Ready to make an impact? Let’s talk.
As a Senior Engineering Manager at Amperity, you'll build a high-performing team delivering solutions to complex challenges with customer impact. You're passionate about ensuring customer success by ensuring our technology drives value where it matters most. You'll mentor engineers, encouraging an environment where individuals excel. You believe great teams are built on collaboration, psychological safety, and solving meaningful problems together.
You bring both technical depth and leadership expertise. You enjoy solving challenges in large-scale data systems, cloud-native infrastructure, and in full-stack experiences. You collaborate with other leaders to lead best practices, promote learning, and ensure we're building technology that meets customer needs and advances the future of customer data management. You show curiosity, innovation by delivering high-quality results that move the business forward.
You will report to the SVP, Engineering.
Seattle, WA
Our hybrid work model includes three days in the office each week, providing a mix of in-person collaboration and remote flexibility
Compensation
Base Salary: $190,000-$260,000. Within our pay range, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, internal equity, as well as candidate qualifications such as skills, experience, and education/training.
Cash Incentives: Cash incentives are also available.
Stock Options: The opportunity for ownership is an exciting part of Amperity’s total compensation package. Every employee at Amperity receives a new-hire equity grant, commensurate with the scope of their position.
We offer all the benefits you'd expect from a great place to work: 100% employee healthcare coverage, transportation subsidies, a comfortable work environment with plenty of snacks, and other employee experience perks like events and activities, both in-person and remote. We also offer self-managed PTO and the flexibility to do your best work in the way that works for you. We provide an inclusive environment where you'll be challenged to find and unlock your full potential, surrounded by a team of world-class people driving for excellence. For more details on our benefits, please see our US Benefits & Perks Guide.
Amperity is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, and reproductive health choices), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as someone with a disability, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.
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We help people use data to serve the customer.
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