Software Engineer I

Amplitude; United States; On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Flexible time off

Wellness stipends

Parental leave

ESPP

Job summary

Amplite, a leading AI analytics platform, seeks a Software Engineer I for the Agent Analytics team. You'll help build backend and data pipeline features, starting with well-scoped tasks and growing into ownership, processing agent traces, APIs, and data exports.

You'll work with TypeScript, Python, PostgreSQL, and ClickHouse, learning how APIs, queries, and asynchronous processing fit in production. We value solid fundamentals, curiosity, and a willingness to learn backend systems and data

Qualifications

• Bachelor's, master's, or PhD in CS or related field, or equivalent practical experience.
• 0–2 years of professional software engineering experience.
• Proficiency in at least one language (TypeScript, Python, Java) through coursework or work.
• Strong fundamentals in programming, data structures, and algorithms.
• Curious about AI agents, data pipelines, and backend systems.
• Familiarity with SQL, APIs, cloud infrastructure, or data pipelines is a plus.

Responsibilities

• Build and ship backend features and APIs for exploring agent sessions, traces, and evaluation results, with guidance from experienced engineers
• Contribute to data pipelines that ingest, enrich, synchronize, and export agent data, including tests and validation
• Investigate slow queries and pipeline issues, and improve data freshness, processing throughput, and the responsiveness of customer-facing features
• Write maintainable code and automated tests, participate in code reviews, and use logs and metrics to debug services and make background jobs more reliable
• Work with Engineering, Product, and Design to understand customer needs and deliver well-scoped improvements from implementation through rollout, with mentorship along the way

Skills

TypeScript

Python

Java

SQL

Data structures

Algorithms

Curiosity about AI agents

Education

B.S./M.S./Ph.D. in Computer Science or related field

Tools

PostgreSQL

ClickHouse

Job description

the company is the leading AI analytics platform, helping over 5,200 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, the company is the best-in-class solution for product, data, and marketing teams. Learn more at the company.com.

As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do.

About The Role & Team

The Agent Analytics team builds the systems that help customers understand and improve their AI agents. We turn agent traces, conversations, and evaluation results into useful insights, and connect that activity with the broader product experience. Our backend services and data infrastructure make this information reliable, easy to explore, and fast to query.

As a Software Engineer I on the Agent Analytics team, you'll help build the foundation of a growing AI analytics product. You'll start with well-scoped backend and data pipeline features, pair with experienced engineers, and take on more ownership as you grow. Your work could include processing agent traces, building APIs for session exploration and data export, or improving the speed and reliability of our analytics systems. You'll learn how engineering decisions affect the experience customers have with the product.

You'll work with technologies such as TypeScript, Python, PostgreSQL, and ClickHouse, and learn how APIs, analytical queries, and asynchronous processing fit together in production. We value strong programming fundamentals and curiosity, and will help you build expertise in our stack and the evolving world of AI agents.

Responsibilities

• Build and ship backend features and APIs for exploring agent sessions, traces, and evaluation results, with guidance from experienced engineers
• Contribute to data pipelines that ingest, enrich, synchronize, and export agent data, including tests and validation that keep the data accurate
• Investigate slow queries and pipeline issues, and help improve data freshness, processing throughput, and the responsiveness of customer-facing features
• Write maintainable code and automated tests, participate in code reviews, and use logs and metrics to debug services and make background jobs more reliable
• Work with Engineering, Product, and Design to understand customer needs and deliver well-scoped improvements from implementation through rollout, with mentorship along the way

Skills and Experience

• B.S., M.S., or Ph.D. in Computer Science or another related technical field, or equivalent practical experience
• 0–2 years of professional software engineering experience, including internships
• Comfortable programming in at least one language such as TypeScript, Python, Java, or a similar language, through coursework, projects, internships, or professional experience
• Solid foundation in programming fundamentals, data structures, and algorithms
• Curious about how AI agents work and how their behavior can be measured; eager to learn backend systems, data pipelines, and analytical databases, and to ask questions and incorporate feedback
• Exposure to SQL, backend APIs, cloud infrastructure, or data pipelines is a plus. Projects involving AI agents, LLM applications, tracing, or evaluations are also welcome

Our values:

At the company, our values guide how we show up for one another and for our customers:

• Humility: We operate from a place of empathy and openness, seeking to understand many points of view.
• Ownership: We take the initiative to solve problems that drive our shared company success.
• Growth Mindset: We’re tenacious in the face of challenges and seek feedback in order to grow ourselves and others.
• Customer Centricity: We put the customer at the center of everything we do and are deeply committed to their success.

We care about the well-being of our team:

We offer competitive pay and benefits packages that reflect our commitment to the health and well-being of our Ampliteers.

Some of our benefit programs include:

• Excellent Medical, Dental and Vision insurance coverages, with 100% employer-paid premiums for employee Medical, Dental, Vision on select plans
• 401(k) retirement plan with an employer match of up to 1% of your eligible pay each pay period up to $2,000 annually
• Flexible time off, paid holidays, and more
• Generous stipends to spend on what matters most to you, whether that’s wellness (monthly), commuter transit/parking (monthly), learning and development (quarterly), new hire home office equipment, and much more
• Excellent Parental benefits including: 12 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, Back-up Child Care support
• Mental health and wellness benefits including no cost employee access to Modern Health coaching & therapy sessions
• Employee Stock Purchase Program (ESPP)

Other fun facts about the company:

• Our customers love us! They've said we're the #1 product analytics solution for 23 quarters in a row on G2.
• We care a lot about product innovation. We've made significant investments in talent and infrastructure to build the most powerful AI analytics platform on the market.
• We invest in our people. We offer mentorship programs, management training, and wellness initiatives.
• We give back to our communities. We give every Ampliteer a charitable giving grant and paid volunteer time off.
• We were founded in 2012, went public via a direct listing in September 2021, and are now trading under the ticker $AMPL.
• We’re a global and fast-growing team! We have employees around the world and offices in San Francisco (HQ), New York, Vancouver, Amsterdam, London, Paris, Singapore, and Tokyo.
• Our mascot is Data Monster, who loves to chow down on numbers, charts, and graphs. Nom nom.

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