Senior Software Engineer (Agentic Search) - Billing

We are looking for a Senior Software Engineer to design and build the billing platform behind a novel search engine tailored for agentic AI consumption. This role is based in our New York office, hybrid with the NYC team.

Our APIs are used by millions of developers and the AI agents acting on their behalf, all paying based on what they consume. You will own the systems that turn product usage into accurate, trustworthy revenue, supporting flexible billing models-usage-based pricing, subscriptions, prepaid balances with auto top-up, and enterprise contracts. Correctness is non-negotiable: every event must be measured precisely and every invoice must be right to the cent.

In this position, your responsibility will be to:

• Design and operate the billing platform end to end, from usage events to invoices
• Build metering and usage-aggregation pipelines that turn high-volume events into billable amounts
• Design and operate prepaid credit/wallet systems with auto top-up and balance management
• Support enterprise/contract billing with custom pricing, negotiated terms, and scheduled invoicing
• Build reconciliation, idempotency, and invoice-accuracy safeguards to ensure revenue data is always correct
• Lead the migration to the next generation of our billing system with no revenue loss or downtime
• Define observability and quality metrics for billing correctness, freshness, and throughput
• Ensure billing systems meet audit and compliance requirements (SOX, financial audit), * Led a billing system migration or re-platform with zero revenue loss or downtime
• Built hybrid billing combining usage, subscriptions, and prepaid in one system
• Worked across both a payments layer (Stripe) and a metering / rating layer (Metronome / Orb)
• Billed a developer-facing / API product with pay-as-you-go and API-key metering
• Used Snowflake for usage aggregation and revenue analytics

Why Tavily?

• Full ownership - small team, you own the entire infrastructure, not a slice of it

• Real scaling challenges - bursty scraping workloads, cache invalidation, multi-region, millions of daily requests

• 6+ years building production backend systems, of which 3+ years actively building and operating billing or metering systems in production
• Hands-on experience with usage-based / metered billing: rating, aggregation, and proration logic
• Hands-on experience with subscription / recurring billing alongside usage-based models
• Hands-on experience with prepaid credits / wallet systems and auto top-up mechanics
• Hands-on experience with enterprise / contract billing: custom pricing and negotiated terms
• End-to-end integration of a third-party billing platform (Stripe Billing, Metronome, Orb, or Zuora)
• Strong expertise in Python and TypeScript/Node (Go a plus)
• Production experience with transactional databases (Postgres or equivalent) for financial-grade data
• Built high-volume event / usage pipelines into a data warehouse (Kafka or Kinesis Snowflake or BigQuery)
• Owned billing correctness in production: reconciliation, idempotency, invoice accuracy
• Product-Led Growth (PLG) experience: worked on billing for high-volume, self-serve users
• Hands-on with Auth0, Okta, or similar identity systems in production
• Shipped revenue systems under SOX or financial audit constraints

Pulled from the full job description

• Parental leave
• Health insurance
• Vision insurance
• Dental insurance
• Life insurance
• Disability insurance, Key employee benefits in the US:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.

• 401(k) plan: Up to 4% company match with immediate vesting.

• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.

• Remote work reimbursement: Up to $85/month for mobile and internet.

We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.