Metronome is the leading usage-based billing platform built for modern software companies. With Metronome, companies can launch products faster, offer any pricing model, and streamline finance workflows without writing code.

Our platform computes millions of invoices per billing period and is scaling rapidly to accommodate new customers, saving them hours of development time and manual invoicing and enabling them to use consumption data to better serve their customers. Our customers love our product and approach, and we’re humbled to work with amazing companies like OpenAI, Databricks, NVIDIA, Confluent, and Anthropic.

You'll be joining an experienced team that includes founders who have successfully built and sold startups before. Our founders and employees also have direct experience building and scaling teams through massive growth at companies like Dropbox, Clever, and New Relic. On the back of this experience and our success-to-date, we’ve raised over $128M from leading investors including NEA, Andreessen Horowitz, General Catalyst, Elad Gil, and Workday Ventures. We’re also proud to have founders and executives of companies like Segment, Plaid, Looker, Gitlab, Confluent, HashiCorp, and Snowflake, as investors who have experienced the pain we're solving firsthand.

About the Role
The Streaming team is responsible for ingesting usage events from our clients and operates the core Kafka-based streaming platform that powers all of Metronome’s products—from pricing and packaging to entitlements and spend reporting. This system processes billions of events per day and needs to perform low-latency streaming computation - We’re at the intersection of observability infrastructure and billing. We’re scaling rapidly and need engineers who thrive in high-throughput, low-latency, high-stakes environments.

Core Areas of Ownership

You'll take end-to-end ownership of our streaming platform, including:

Scalability – Ensuring our Kafka-based pipeline can handle rapidly growing volumes (billions of daily events) without breaking a sweat.
Correctness & Reliability – Guaranteeing every event is processed exactly once—no drops, no duplicates—because each one translates to real revenue.
Performance – Delivering fast, efficient aggregations to support real-time entitlements, spend tracking, and fraud prevention.
Cost Efficiency – Continuously tuning the platform to minimize infrastructure costs for our customers (and ourselves—we’re usage-based too).
Partner with product engineering teams to enable and extend the platform’s capabilities, enabling features like SQL-based custom metrics and real-time spend insights and reporting

What You'll Do

Build, scale and evolve our core streaming pipelines capable of processing hundreds of thousands of events per second and enabling high fault tolerance.
Design alternative methods of ingesting/processing event data to enable end users to adjust their use cases based on latency and cost factors.
Partner with product engineering teams to build new pricing/packaging capabilities and features on top of the usage platform.

Qualifications

5+ years of experience designing and building scalable infrastructure systems—whether distributed services, internal platforms, or foundational tooling.
Hands-on experience scaling distributed systems, with a deep understanding of performance, reliability, and fault tolerance—either as a senior individual contributor or technical lead.
Ownership of mission-critical production systems, with a strong focus on reliability, scalability, observability, and incident response.
Strong cross-functional collaboration skills, with a track record of driving solutions across engineering, product, and infrastructure teams.
Proven success delivering high-impact projects in fast-paced, high-growth environments—navigating ambiguity, managing scope, and consistently landing quality outcomes.
Experience mentoring engineers across experience levels, fostering growth through code reviews, design discussions, and technical leadership.
Clear and thoughtful technical communication, whether writing design docs, participating in architecture reviews, or sharing context with non-engineering stakeholders.

We don't filter based on current expertise, so at Metronome you will learn:

AWS (S3, RDS, API Gateway, ECS, Fargate, Lambda, MKS, and more!)
Infrastructure as Code (Terraform, Serverless Framework)
Languages (Python, Typescript, Java - for working with Kafka)
CI/CD (AWS CodePipeline & CodeDeploy, CircleCI)

Compensation

The estimated base salary range for this role is $171,200 - $214,000. In addition to your base salary, Metronome offers a competitive total rewards package, including but not limited to, market-benched equity, sales incentive pay (for eligible roles), comprehensive health benefits, and other benefits listed below.

The actual base salary will vary based on factors including market value, individual qualifications objectively assessed during the interview process, and previous experience. The listed range above should serve as a guideline and may be modified at any time.

We believe that compensation reflects the expected impact you will have at the company, relative to the market value of your role. We also conduct an annual pay audit to ensure pay is fair, indexed to market value, and that pay takes into account continued performance at Metronome. If you would like to learn more about our philosophy or about why we are all billing nerds, send us a message. We’d love to talk!

Benefits

Excellent medical, dental, vision, and life insurance coverage, including a One Medical membership
Paid parental leave
FSA (Flexible spending account)
Retirement planning - Traditional and ROTH 401(k)
Flexible time off
Employee assistance program (mental health benefits)
Culture where personal growth is highly valued

We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.