Greenlite AI
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 and work effectively with finance, engineering, GTM, and vendor teams. You understand how financial systems and AI workloads scale and adapt quickly to the business needs.
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.
Audit our current data infrastructure: what we have, where the gaps are, and what will break first as we scale.
Design and implement a simple spend monitoring dashboard so leadership 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.
Partner with our incoming RevOps leader on billing and collections workflows, standing up systems both teams can rely on.
Partner with our leadership team and 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 operational and data infrastructure can support the next 5x growth.
Take on high‑impact, cross‑functional projects as business evolves—whichever 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 and 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, 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. Benefits include health, dental, vision, and other benefits. Five‑day/week in‑person in downtown San Francisco.
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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.
Audit our current data infrastructure: what we have, where the gaps are, and what will break first as we scale.
Design and implement a simple spend monitoring dashboard so leadership 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.
Partner with our incoming RevOps leader on billing and collections workflows, standing up systems both teams can rely on.
Partner with our leadership team and 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 operational and data infrastructure can support the next 5x growth.
Take on high‑impact, cross‑functional projects as business evolves—whichever 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 and 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, 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. Benefits include health, dental, vision, and other benefits. Five‑day/week in‑person in downtown San Francisco.
#J-18808-Ljbffr