We compensate employees based on two primary factors: relevant previous experience and demonstrated ability to drive business impact.

Experience brings immediate value through specialized skills and industry knowledge. Impact is measured by contributions to revenue, efficiency, innovation, and strategic objectives.

Our approach ensures fair compensation that reflects both what employees bring to the role and the value they create for our business. Compensation decisions are made objectively and reviewed regularly to maintain competitiveness and internal equity.

About the role

As Data Operations Manager at Greenlite, you'll build and scale the data and financial operations that keep our AI agents humming and our customers happy. You'll work directly with our biggest customers—institutions serving over a billion people—by ensuring our operations, billing, and data infrastructure can support their growth as they deploy our AI. Your work is informed by real customer needs and ships to production, so you need to think like a technical operator, work effectively with finance, engineering, GTM, and vendor teams, understand how financial systems and AI workloads scale, and adapt quickly to what the business needs most.

This is a core operations role on the Finance & Operations team. What makes someone exceptional here is the ability to take a high-level problem—"we can't see abnormal spend fast enough" or "we need tighter cash cycle time"—and design systems and processes to solve it. You're comfortable working across finance, product, and infrastructure. You operate on a "most important thing" principle, constantly reprioritizing around what moves the needle most. You're not just running billing or watching dashboards—you're building the operational foundation that lets us scale from 35 to 90+ people while staying cash-efficient and keeping deep visibility into how our AI is being used.

We work in-person Monday through Friday in our SF office.

What you'll do

Month 1

• Own billing and collections operations end-to-end—tighten invoicing processes, shorten cash cycle time, and establish baseline metrics so we know where we are.

• Audit our current data infrastructure: what do we have, what are the gaps, and what's the first thing that breaks as we scale?

• Design and implement a simple spend monitoring dashboard so the leadership team can see cash burn, usage patterns, and revenue against plan in real time.

Month 2–3

• Build automated data pipelines that give us clear, accurate visibility into usage, revenue, margins, and spend across customers and products.

• Set up alerts and tooling so abnormal spend patterns, failed collections, or off-nominal transactions are flagged automatically rather than caught in retrospect.

• Partner with our incoming RevOps leader on billing and collections workflows—stand up systems that both teams can lean on.

• Partner with our leadership team & department leads on vendor management and treasury strategy—translate high-level strategy into concrete systems and guardrails.

Ongoing

• Collaborate with GTM, engineering, and data teams to ensure our operational and data infrastructure can support the next 5x growth.

• Take on high-impact, cross-functional projects as the business evolves—whatever moves the needle most.

• Maintain strong relationships with vendors and external partners; optimize costs and quality over time.

• Build dashboards and reports that give leadership early signals on business health and operational efficiency.

What we're looking for

Background

You have 5–8+ years in a mix of operations, analytics, finance, product management, or technical consulting. You've made 2–3 career pivots and are a strong generalist, not a narrow specialist. Startup experience is strongly preferred—you're comfortable in messy, 0→1 environments where things aren't yet built.

Technical and systems thinking

You're strong with data: SQL & spreadsheet magic at minimum; ideally Python or similar for light data engineering. You can reason from first principles about systems and constraints even if you're not a pure software engineer. You can take a vague operational problem and design tooling and process to fix it.

You're comfortable working across finance and FP&A, GTM and revenue operations, engineering and data infrastructure, and vendor/legal/contract work. You love working with ambiguous requirements and creating structure.

Traits and mentality

You operate on a "most important thing" principle—you can prioritize ruthlessly around what moves the needle most. You have high ownership and low ego; you're happy to do anything from financial modeling to chasing down invoices. You're energized by fast-paced environments with shifting priorities and ambiguous requirements.

You understand financial systems and have intuition for cash flow, burn, and unit economics. Experience in fintech or payments is a plus but not required; what matters more is that you can learn fast and care about getting operational detail right.

Comp and logistics

Salary: $150K–$190K, depending on experience and background. Plus equity. Health, dental, vision, and other benefits. Five-day/week in-person in downtown San Francisco.

Compensation Range: $150K - $190K