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.

The Role

The MAX team drives a critical part of the platform that intersects both product and infrastructure spaces. The products we manage allow users to gain valuable insights into their data and make important decisions from those insights in ways that no other platform can. An immense data warehouse and query stack that we oversee powers these capabilities, and it analyzes some of the largest datasets that our enterprise customers can throw at us. Our horizon includes building predictive analysis tools, real-time decisioning engines, and agentic toolchains. We are biased for action, value, and succeed together in a highly collaborative environment. We are bullish on leveraging AI coding tools, such as Codex and Claude to accelerate our engineering capabilities.

Interesting Problems

• Own batching and real-time streaming systems that handle large amounts of structured customer, product, and event data.
• Building full-stack experiences and toolsets to help users visualize their data, understand their customers, surface the most impactful insights, and take meaningful action based on those insights.
• Integrate our services into the operating core of the businesses we serve.
• Change how marketers use their customer data through unique and intuitive product experiences.
• Build agentic tools for our customers to use, and an MCP to allow external AI tools to take advantage of the Amperity platform.

About You

• 5+ years of experience working with large-scale data-oriented systems. Bonus if you have experience with Trino, Spark, Delta Lake, & Kubernetes.
• Track record building, scaling, and managing production environments.
• Excited about using functional languages (like Clojure!).
• Passionate about building elegant user experiences on top of complex technologies.
• Open-minded, collaborative, inclusive, and inspired by your customers' success.
• Curious about using AI coding tools such as Claude and Codex to help accelerate your development.

Technologies We Use

• Open source large-scale database engines such as Spark & Trino.
• Microservices architecture using Clojure as the primary programming language.
• A web stack based on ClojureScript and the React family of tools.
• Cloud-first architecture using technologies like Terraform and Kubernetes in a multi-cloud platform.
• Claude for development with various MCPs to increase its effectiveness.

Location

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:  $178,000-$245,000. Individual compensation within this range will depend on several factors, including your skills, experience, education/training, geographic location and the level at which you join. We also consider internal equity, market conditions, and overall business needs.

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.

Benefits

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.

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.

The Role

At Amperity, ML Engineers work in small, collaborative, and accountable teams. As a Lead ML Engineer, you'll lead ML projects that span multiple teams, guiding both the technical direction and the platform capabilities that power our AI-driven products. You'll work with Applied Scientists, Software Engineers, Product, and Customer Success teams to deliver production ML systems that create measurable customer impact. We are an AI-first company. We expect engineers to embrace AI assistance tools like Claude Code as a core part of their daily workflow. They use these tools to accelerate development, improve code quality, and velocity. We keep our processes lightweight, our experimentation rigorous, and our focus on delivering value through machine learning.

Interesting Problems

We're solving tough problems at the intersection of large-scale data, AI, and user experience. Some of the challenges you might work on include:

• Architect ML platform components—feature stores, model registries, and serving infrastructure—that help teams across the organization to deploy models reliably and at scale.
• Build automated training and deployment pipelines that support model improvement for data drift and model degradation.
• Design real-time and batch feature engineering systems that power identity resolution, customer segmentation, and predictive models at enterprise scale.
• Improve model inference latency to deliver ML predictions that meet strict Service level agreements while managing infrastructure costs.
• Establish MLOps best practices, SLOs, and operational standards that ensure production ML systems are reliable, observable, and maintainable.

About You

You're a technical visionary who combines deep ML engineering expertise with systems building and experience building infrastructure that supports and scales several types of machine learning models. You take ownership of ML systems end-to-end—from model development through production operation—and help set the technical direction for ML engineering across the organization. You embrace AI-first practices, using tools like Claude Code to accelerate your work and advocating for their adoption across teams. You value influence, mentorship, and well-reasoned decisions.

• 8+ years of experience building production ML systems, with experience designing ML infrastructure and platforms.
• Technical leadership experience driving ML platform evolution or major ML projects across multiple teams.
• Expertise in ML deployment patterns, model serving, feature engineering, and monitoring/observability for ML systems.
• Software engineering skills with experience in Python and familiarity with ML frameworks (e.g. XGBoost, PyTorch, PySpark).
• Experience with cloud-native ML infrastructure, containerization, and orchestration (Kubernetes, Docker).
• Enthusiastic about AI-first development practices, with experience using AI coding assistants to accelerate engineering workflows.
• Turn ambiguous ML infrastructure problems into actionable plans, and guide teams through delivery.
• Experience aligning ML technical strategy with our priorities and customer needs.
• Mentor engineers, and improve how we build and operate ML systems.

Technologies To Know

We don't expect you to have experience with everything we use—but if you're excited about learning, you'll do great here. You'll influence and learn:

• Large-scale data engines like Apache Spark, Presto, and Kafka.
• MLOps tooling including MLflow, feature stores, and model serving frameworks.
• Cloud-native infrastructure built with Kubernetes and Terraform, deployed across multiple cloud providers.
• Functional programming languages including Clojure and Python for ML pipelines.
• Machine learning models for entity resolution, classification, and customer analytics.
• AI coding assistants (such as Claude Code) as part of our daily development workflow.

Location

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. Individual compensation within this range will depend on several factors, including your skills, experience, education/training, and the level at which you join. We also consider internal equity, market conditions, and overall business needs.

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.

Benefits

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.

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.

The Team

You'll join Loom, the largest team at Amperity and the one at the heart of the platform. Loom owns the primary services that define what Amperity is: identity resolution, real-time customer profiles, streaming data ingestion, and the foundational libraries that the engineering department builds on. If Amperity is an operating system for customer data, Loom is the kernel.

Over the last year, the Loom team has built out the first version of the real-time stream processing to accompany the battle-hardened core batch processing system. In your first year, the highest-priority goal is to help the teams apply the lessons learned thoughtfully to the broader platform. This is not a greenfield rewrite. It is the more interesting and more demanding challenge of evolving a large platform, without breaking what our customers depend on.

Loom operates with a large surface area and the work matters directly to customers. We expect our engineers to be AI-forward, using AI tooling to remove barriers and bringing clear judgment about where it can and cannot move the needle. You will report to the Senior Manager, Loom.

Interesting Problems

We're solving tough problems at the intersection of large-scale data, AI, and user experience. Some of the challenges you will work on include:

• You will lead the effort to unify batch and real-time event processing across core platform services.
• You will manage a large, mature codebase and develop a clear strategy for which technical debt to carry, which to pay down, and which to eliminate.
• Translate customer requirements into well-scoped, high-value engineering work, knowing when to apply solutions and when the problem is unique enough to warrant deeper investment.
• Building seamless integrations with the data platforms and cloud infrastructure our customers already operate in.
• Raising the team's AI velocity requires establishing clear norms. These norms define where AI tooling accelerates delivery, where it misleads, and how to validate what it produces. By doing so, every engineer works faster and more effortlessly with it.

About You

You know how to operate in a complex, high-ownership environment. You don't need everything to be greenfield. You excel when you can assess a system honestly, identify what's holding the team back, and build a credible path forward.

• 9+ years building and evolving complex, high-scale software systems.
• Experience leading platform migrations or major architectural transitions (streaming experience a strong plus).
• You can distinguish between problems that have well-trodden solutions from those that are genuinely unique, and the discipline to apply the former quickly so the team can focus on the latter.
• Fluent in the capabilities of AI tooling, while balancing its limitations. You also help raise the AI fluency of the engineers around you through different means, including pairing, design reviews, and setting a high bar for where and how it gets applied.
• A track record of fast value delivery: shipping high-quality work, iterating based on evidence, and making confident decisions through ambiguity.
• Comfortable inheriting large, imperfect codebases. You can read technical debt, communicate it with partners, and make principled calls about when to sustain it and when to address it.
• Customer-first thinking where you start with the value you deliver, not the implementation, and that shapes how you scope and sequence work.
• Technical depth in distributed systems, data-intensive architectures, or cloud-native infrastructure.
• A genuine partner to Product in roadmap planning which translates engineering realities into clear options. This partner also advocates for the right technical investments and helps shape a forward-looking plan. The plan maps what we build to where the business is going.

Technologies We Use

We don't expect you to have experience with everything we use, but if you're excited about learning, you'll do great here. Our tech stack includes:

• Large-scale data engines like Apache Spark, Presto, and Kafka.
• Functional programming languages including Clojure.
• Infrastructure built with Kubernetes and Terraform, deployed across AWS and Azure.
• Native integrations with customer data platforms including Snowflake and Databricks, supporting bring-your-own-storage architectures.
• Machine learning models and systems including random forests, logistic regression, and probabilistic databases.

Location

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. Individual compensation within this range will depend on several factors, including your skills, experience, education/training, geographic location and the level at which you join. We also consider internal equity, market conditions, and overall business needs.

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.

Benefits

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.

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.

The Opportunity 

We’re always eager to connect with engineers who are excited by complex data challenges and passionate about building products that drive real-world impact with our customers. While we don't currently have an open position available, we’re growing and regularly hire for a range of engineering roles across multiple levels.

If you’re interested in joining Amperity’s Engineering Team but don’t see an opportunity that you’d like to apply to, please submit your resume. We’ll keep your information on file and will reach out if we find a match!

Technologies We Use

• Open Source tools such as Spark, Presto, Mesos, and Kafka.
• A microservice architecture, with most services written in Clojure.
• A web stack based on ClojureScript and the React family of tools
• Cloud-first automation including Apache Aurora and SaltStack
• And more

Location

Seattle, WA 

Our hybrid work model includes three days in the office each week, providing a mix of in-person collaboration and remote flexibility

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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