D
Datasnipper
Software Engineer (Billing & Monetization)
Skills
Google Cloud PlatformMongoDBPythonPostgreSQLAIAzure
1 month ago
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Important information
Contract type:
Permanent
Salary:
$160,000 – $200,000 / year
Location:
New York, NY, USA
Work mode:
Onsite
Published on:
25 September 2026
What they need
- We are looking for a skilled and passionate Software Engineer to join our Billing & Monetization Team in the New York City office. Working in a bootstrapped and profitable scaleup, you’ll build the systems that power how our agentic AI products are metered, priced, and billed, turning AI usage into reliable, transparent revenue for a fast-growing, category-defining company
- Design, build, and operate the credit, metering, and billing systems that power monetization across our agentic AI products, from real-time usage tracking and credit consumption to invoicing and revenue reporting
- Write high-quality, well-tested Python that runs reliably in production, where financial correctness, accuracy, and auditability matter
- Build and scale services that meter AI and agent usage in real time, enforce credit limits and entitlements, and integrate with pricing, payments, and financial systems
- Model and evolve data in Postgres and MongoDB, making sound choices about schema, consistency, and performance for billing-critical workloads
- Ship and run services across our Azure and GCP environments, with an eye to observability, security, and cost
- Use AI-assisted coding tools and agentic coding harnesses as a core part of how you work, to move faster, raise quality, and take on harder problems
- Work with the agentic tools and models that power our products, and help ensure their usage is metered and attributed correctly for billing
- Partner closely with Product, Finance, and other Engineering teams to turn pricing and packaging decisions into robust technical implementation
- Take ownership of features end to end, from design through deployment, monitoring, and iteration
- Contribute to a culture of experimentation, learning, documentation, and operational excellence- Strong product sense; you can reason about the business and pricing needs behind what you build and make good tradeoffs
- Strong proficiency in Python and solid fundamentals in software architecture, distributed systems, and API design
- Experience building and operating services on cloud infrastructure, ideally Azure and/or GCP
- Minimum 4 years of experience as a software engineer building scalable, reliable, and high-quality software systems in production
- A seasoned user of AI development tools, with hands-on fluency in AI-assisted coding and agentic coding harnesses, and a track record of using them to ship better software faster
- Experience with relational and document databases, ideally Postgres and MongoDB, including data modeling and query performance
- Entrepreneurial mindset with the ability to thrive in a fast-moving scale-up environment
- A track record of taking ownership and shipping
- A focus on correctness, reliability, observability, and maintainability, especially where accuracy matters
- Familiarity with monetizing AI or agentic products, including token or usage metering and cost attribution
- Experience integrating with payment providers, billing platforms, ERP and financial systems
- Experience working in startups or scaleups
- Understanding of financial correctness concerns such as idempotency, reconciliation, auditability, and revenue recognition
- Experience building billing, metering, payments, or monetization systems, ideally involving usage-based or credit-based pricing
- Hands-on experience with agentic tools, LLMs, and model orchestration in production
- Experience in fintech, audit technology, or document-intensive workflows
- Strong understanding of testing strategies and engineering quality practices
- Experience with observability and monitoring tools
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