Finance Transformation Manager
- Market p25–p75
- $143k–$208k
- Serval p25–p75
- $184k–$196kn=4
- Opened · 30d
- +1
- Closed · 30d
- −0
- Opened · 7d
- +5,1237% of open
- All other
- 623,339open
Who We Are
Serval is the AI-native enterprise service management platform that automates the work legacy IT service management tools only track. Our AI agents build the automations that power employee support, then resolve requests against them instantly—helping teams across IT, HR, finance, legal, and beyond automate work within one governed platform.
Companies including Fox, Live Nation, Notion, Ramp, and Lucid Motors run on Serval. Headquartered in San Francisco, we’ve raised $277 million from investors including Sequoia Capital, Redpoint Ventures, First Round, General Catalyst, and Elad Gil, most recently a $150 million Series C at a $3 billion valuation.
We’re building a team that moves quickly, takes ownership, and wants to make a meaningful impact on how the world’s largest organizations work. Come help us build what’s next for enterprise service management.
The mission
We’re scaling at a historic pace with a lean finance team, which only works if that team runs on systems, not spreadsheets. Today our finance data lives in disconnected places: ERP, CRM, Bill pay systems, our billing and usage data, payroll, and a lot of exports. Reconciliations, close tasks and reporting take more hands than they should.
You are the technical backbone of Serval Finance. Think of the role as an accounting automation engineer: you connect our finance data, build the data foundations behind sales, marketing and cost reporting, and automate manual accounting workflows, Serval first. Serval runs on Serval, and you will be one of its most demanding internal builders.
The role has two parts:
Finance transformation (most of your time). Own the finance systems roadmap, build automations and agents on Serval, and create a single, trusted view of our revenue, go-to-market and cost data so leadership can see where to invest, faster.
Corporate accounting (part time). Run and automate parts of the close yourself: account reconciliations, complex calculations, and day-to-day operations such as Ramp bills and corporate card management.
You'll report to Francisco Meyo, VP, Controller, and work closely with our Head of Finance, RevOps, Engineering, Sales and Marketing leadership, and our revenue accounting team.
Who you are
A builder at heart. You scope what matters, prototype it and ship it yourself. You have built agents and automations that run in a real finance operation and that people still use.
Fluent in both languages. You understand the close, reconciliations and revenue well enough to spot what to automate, and you can write a spec an engineer respects.
A systems thinker. You design for the long run: clean data models, one source of truth, controls and audit trails built in, and workflows that flag their own exceptions.
Living on the AI frontier. You bring new techniques to the team as fast as the field moves, and you judge them by hours saved and errors removed, not by novelty.
Hands-on and unprecious. You will reconcile an account or code a Ramp bill today, and make sure nobody has to do it by hand next month.
Comfortable in ambiguity. You own your work end to end, set your own priorities from a messy backlog, and move without waiting to be told what to build next.
What you'll do
Lead finance transformation
Map manual workflows across Finance, rank automation opportunities by time saved and risk reduced, and own a prioritized backlog and roadmap.
Design and deploy Serval-first agents and workflows for reconciliations, journal entry preparation, accruals, close task tracking, variance analysis and reporting.
Own project plans, milestones and risks across initiatives, and report status to the VP, Controller and Head of Finance.
Evaluate and pilot new finance tools when Serval is not the right fit, and build the business case for adoption.
Build the data foundations
Connect Rillet, Salesforce, Ramp, our billing and usage data, payroll and marketing systems into one trusted finance data layer.
Build the data models behind sales, marketing and cost reporting, so bookings, pipeline, spend and unit economics come from one source of truth rather than exports.