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, Melbourne and a growing presence in Argentina, 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, engineers work in small, collaborative feature teams. As an SDE IV, you'll contribute across teams that move quickly, embracing rapid, iterative development to solve meaningful customer problems and improve the platform. Engineers are involved in shaping what we build and how we build it, working with Product, Support, Customer Success, and Go-to-Market teams to create high-impact features and seamless customer experiences. We keep our processes lightweight, our communication clear, and our focus on delivering value.

As one of the first teammates building our footprint in Argentina, you’ll play a meaningful role in our growth and be part of shaping this new chapter from the beginning. 

Interesting Problems

• Ingest and understand large amounts of structured customer, product, and event data
• Create probabilistic knowledge graphs by training ML models to unify this data across different systems
• Take research algorithms and realize them in production for extremely high-scale usage
• Build visual experiences and toolset to help users visualize their data, understand their customers and surface the most impactful insights
• Integrate our system into the operating core of the businesses we serve
• Automate the management of thousands of VMs running data processing jobs

About You

• 12+ years industry experience working in SaaS and distributed systems environments
• Experience working with large-scale data-oriented systems on a major cloud provider
• You show deep technical judgment, expanding to the depths of your team's technology ownership. You impart this judgment on others and are sought for advice on all aspects of your team's product, process, and technology.
• You can guide architectural decisions on your team and across teams with an eye to high-level tradeoffs, and know when and how to explore novel approaches. You are a backstop for oncall issues on your team.
• Passionate about building scalable infrastructure systems for both internal and external customers
• Excited about using functional languages (like Clojure!) in a production environment - Clojure or functional language experience isn't required
• You educate those outside your team on your team's technology and products. You mentor those on your team and contribute to their growth. You take opportunities to share your unique talents and interests across the whole engineering team in the form of tools, education, excellence in interviewing, onboarding, or leading various special interest groups

Location

Argentina - Remote

This role is remote, with a small number of meaningful in-person gatherings designed to support alignment and collaboration.

Compensation & Benefits 

We offer a competitive compensation package, along with benefits designed to support your well-being and long-term growth. Our total rewards program includes base compensation, benefits, and the opportunity to participate in our company’s equity plan. 

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, Melbourne and a growing presence in Argentina, 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, we empower businesses to unlock the full potential of their customer data. Our clients are industry leaders making bold investments in modern customer data infrastructure. As a Software Development Engineer, you'll join a collaborative engineering team to develop advanced data pipelines. You will create flexible marketing solutions, and integrate powerful AI capabilities helping our clients gain deeper insights and activate their data. You'll work on a world-class, mission-critical platform that sits at the heart of our customers' data ecosystems, directly influencing how they understand and engage with their audiences.

As one of the first teammates building our footprint in Argentina, you’ll play a meaningful role in our growth and be part of shaping this new chapter from the beginning. If you're excited about working on complex challenges, driving innovation, and helping industry-leading brands thrive through data-driven strategies, we’d love to hear from you.

Interesting Problems

• Process and understand large amounts of structured and unstructured customer, product, and event data
• Building delightful, full-stack experiences and toolsets to help users visualize their data, understand their customers and surface the most impactful insight
• Use the latest data science and AI advancements to build experiences that accelerate the time to value for data developers and marketers
• Integrate our system into the operating core of the businesses we serve
• Improve how marketers use their customer data

About You

• 5+ experience including 3+ years developing enterprise software
• 3+ years of experience building applications on database technologies experience with big data technologies
• 3+ years working in a production environment. In this duration, you have shown an ability to get products and features released to customers
• Experience with infrastructure development and deployment using tools like Terraform, or CloudFormation.
• Experience with a platform-level team whose customers are other developers
• Excited about using functional languages (like Clojure!) in a production environment
• Passionate about building elegant user experiences on top of complex technology
• Collaborative, inclusive, and inspired by your customers' success

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, ClojureScript, and the React ecosystem.
• Cloud-native infrastructure built with Kubernetes and Terraform, deployed across multiple cloud providers.
• Machine learning models and systems including random forests, logistic regression, and probabilistic databases.

Location

Argentina - Remote

This role is remote, with a small number of meaningful in-person gatherings designed to support alignment and collaboration.

Compensation & Benefits 

We offer a competitive compensation package, along with benefits designed to support your well-being and long-term growth. Our total rewards program includes base compensation, benefits, and the opportunity to participate in our company’s equity plan. 

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, Melbourne and a growing presence in Argentina, 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, we empower businesses to unlock the full potential of their customer data. Our clients are industry leaders making bold investments in cutting-edge customer data infrastructure. As a Software Development Engineer, you’ll join a highly motivated and collaborative engineering team to develop advanced data pipelines, create flexible marketing solutions, and integrate powerful AI capabilities enabling our clients to gain deeper insights and activate their data strategically. You’ll work on a world-class, mission-critical platform that sits at the heart of our customers’ data ecosystems, directly influencing how they understand and engage with their audiences.

As one of the first teammates building our footprint in Argentina, you’ll play a meaningful role in our growth and be part of shaping this new chapter from the beginning. If you're excited about working on complex challenges, driving innovation, and helping industry-leading brands thrive through data-driven strategies, we’d love to hear from you.

Interesting Problems

• Process and understand large amounts of structured and unstructured customer, product, and event data
• Building delightful, full-stack experiences and toolsets to help users visualize their data, understand their customers and surface the most impactful insight 
• Use the latest data science and AI advancements to build experiences that accelerate the time to value for data developers and marketers 
• Integrate our system into the operating core of the businesses we serve 
• Improve how marketers use their customer data

About You

• 5+ experience including 3+ years developing enterprise software 
• 3+ years of experience building applications on database technologies experience with big data technologies
• 3+ years working in a production environment. In this duration, you have shown an ability to get products and features released to customers 
• Excited about using or learning functional languages (like Clojure!) in a production environment
•  Passionate about building elegant user experiences on top of complex technology
• Collaborative, inclusive, and inspired by your customers’ success

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, ClojureScript, and the React ecosystem.
• Cloud-native infrastructure built with Kubernetes and Terraform, deployed across multiple cloud providers.
• Machine learning models and systems including random forests, logistic regression, and probabilistic databases.

Location

Argentina - Remote

This role is remote, with a small number of meaningful in-person gatherings designed to support alignment and collaboration.

Compensation & Benefits 

We offer a competitive compensation package, along with benefits designed to support your well-being and long-term growth. Our total rewards program includes base compensation, benefits, and the opportunity to participate in our company’s equity plan. 

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.
#LI-DNI

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, Melbourne and a growing presence in Argentina, 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, we empower businesses to unlock the full potential of their customer data. Our clients are industry leaders making bold investments in cutting-edge customer data infrastructure. As a Senior Software Development Engineer, you’ll join a highly motivated and collaborative engineering team to develop advanced data pipelines, create flexible marketing solutions, and integrate powerful AI capabilities enabling our clients to gain deeper insights and activate their data strategically. You’ll work on a world-class, mission-critical platform that sits at the heart of our customers’ data ecosystems, directly influencing how they understand and engage with their audiences.

As one of the first teammates building our footprint in Argentina, you’ll play a meaningful role in our growth and be part of shaping this new chapter from the beginning.  If you’re excited about working on complex challenges, driving innovation, and helping industry-leading brands thrive through data-driven strategies, we’d love to hear from you.

Interesting Problems

• Process and understand large amounts of structured and unstructured customer, product, and event data
• Building delightful, full-stack experiences and toolsets to help users visualize their data, understand their customers, and surface the most impactful insights.
• Integrate our system into the operating core of the businesses we serve.
• Change how marketers use their customer data.

About You

• 8+  years of experience developing commercial software systems
• Experience building applications on big data technologies such as Trino, Athena, or Spark
• You have been in a software engineering environment where you had to take ownership to get products and features released in a production environment.
• Experience with or willingness to participate in professional development activities to stay current on industry knowledge (like Clojure!) in a production environment.
• Stay informed about relevant technology trends and developments and investigate new technologies.
• Passionate about building elegant user experiences on top of complex technology.
• Team player, collaborative, inclusive, and inspired by your customers’ success.

Location

Argentina - Remote

This role is remote, with a small number of meaningful in-person gatherings designed to support alignment and collaboration.

Compensation & Benefits 

We offer a competitive compensation package, along with benefits designed to support your well-being and long-term growth. Our total rewards program includes base compensation, benefits, and the opportunity to participate in our company’s equity plan. 

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.