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.
As an engineer on the Data Platform team, you'll ingest and process all of Metronome’s data and build a self-serve platform that enables other teams to create features and products on top of it. We view our role as force multipliers enabling products to be built faster and safer. You’ll help solve challenges like:
- Scalability – Ingesting and processing all of Metronome’s event and usage data, transferring terabytes per day to customers with strict SLAs, and building infrastructure that scales with our growth.
- Reliability & Data Integrity – Powering financial workflows where accuracy is non-negotiable—this data is used for books close, reconciliation, and compliance.
- Performance & Latency – In usage-based businesses, revenue is dynamic and deeply tied to usage data. The faster we can aggregate and expose this data, the faster our customers can act—whether that’s forecasting, preventing overages, or adjusting pricing.
- Partner with product engineering teams to enable and extend data-powered product features like: In-app analytics dashboards, Machine learning models to forecast revenue and recommend pricing and Custom reporting and usage breakdowns for end-customer finance teams
- Build batch and streaming pipelines capable of processing hundreds of thousands of events per second and generating millions of downstream records within a single job.
- Build out capabilities and golden paths for other engineers to build features on top of our large data warehouse in a self-service manner.
- Define and build the tools, systems and interfaces required for internal non-technical users to make business decisions on top of Metronome’s data (finance, product, go to market).
- Influence the overall architecture of Metronome. Drive the technical direction around usage of batch, streaming and real time compute primitives. Shape how key technologies like Spark, Clickhouse, Dagster fit into our company-level strategy.
- 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.
- AWS (S3, RDS, EKS, Athena, Lambda, Step Functions, and more!)
- Infrastructure as Code (Terraform, Serverless Framework)
- Languages (Python, Typescript, Java - for working with Kafka)
- CI/CD (AWS CodePipeline & CodeDeploy, CircleCI)
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!
- 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.
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