Senior Financial Analyst

A2Z Sync is building the operating system for U.S. automotive retail — a market measured in trillions, still operating on disconnected, decades-old systems. We replace that friction with the velocity of a single platform, integrating digital insights with in-store operations to deliver transparent transactions for car buyers and increased profitability for dealers.

We are a Series B, AI-native SaaS company experiencing tremendous growth. We are transitioning from a traditional SaaS company into an AI-native one — and we are doing it from Denver with a small, sharp team that ships fast and plays hard. This role sits in our Denver office and requires 3 days per week in-office.

Our finance function is small, fast, and forever evolving forward. The infrastructure is in place — automated reporting, a governed data layer, department P&Ls that publish the day the books close. What is evolving is the layer on top: the revenue and go-to-market analytics, the KPI framework leadership runs on, and the insight that turns all of it into decisions.

That is what this seat is for. This is a green-field role. You will define how we measure the business — the metrics that go in front of leadership, the unit economics behind our go-to-market motion, and the analysis that shapes pricing, hiring, and investment decisions. You will help evolve and build from the ground up. 

You will work directly with the Director of Finance, partner across sales and revenue operations, and have visibility with company leadership from your first month. If you want a role where the models are already built and the questions are already framed, this is not it.

• Revenue model: Build and maintain the AI-native revenue model with new customer ramp, go-live timing, expansion, contraction, and churn.
• Rev-ops partnership: Partner with revenue operations to ensure the go-to-market muscle is driving accurate revenue targets and metrics
• GTM economics: Model the economics of the go-to-market motion — sales and marketing investment, pipeline conversion, and the return on each channel.
• Revenue bridge: Build the monthly plan-to-forecast-to-actual bridge, with every delta explained by a driver rather than a plug.
• Revenue reviews: Prepare the analysis and flag anomalies ahead of revenue reviews, so the conversation starts from validated numbers.

• KPI framework: Define and maintain the company metric set — ARR/MRR, NRR, churn, CAC, LTV, payback period, and pipeline coverage — with definitions everyone works from.
• Leadership visibility: Put those metrics in front of leadership on a regular cadence, with the interpretation attached, not just the number.
• Benchmarking: Track performance against SaaS peer benchmarks so leadership knows where we stand, not only where we are.
• Unprompted insight: Bring the analysis nobody asked for when the data warrants it — the trend that changes a decision before it shows up in the P&L.

• Own the models: Build and maintain the driver-based models behind the plan — subscription and recurring revenue, integration costs, and hosting. Keep them versioned, documented, and auditable.
• Run the forecast cycle: Drive the quarterly reforecast to completion on time, with an immutable baseline and a clear record of what changed and why.
• Scenario and sensitivity analysis: Stress-test the plan against pricing, ramp, churn, and cost assumptions so leadership can see the range, not just the point estimate.
• Headcount and contractor modeling: Model timing, vacancy impact, and fully loaded cost into the plan.

• Integration and vendor costs: Own the analysis behind third-party integration and data costs — a core cost-of-revenue driver of the business. Monitor variance by vendor and flag drift before it compounds.
• Hosting cost: Monitor cloud infrastructure spend with in-month early reads, not post-close surprises.
• Operating expense: Track software, vendor, and contractor spend against budget; produce department-level opex variance with commentary that explains cause rather than restating magnitude.
• Margin analysis: Maintain gross margin by revenue stream, along with unit economics and cost-to-serve models.

• Budget vs. actuals: Deliver company and department-level BVA every close, with review time reserved before distribution.
• Variance commentary: Draft the monthly narrative — what moved, why, and what it means for the rest of the year.
• Dashboards: Maintain and extend the executive and department dashboard suite so it stays self-serve and always current.
• Board support: Prepare the recurring financial schedules and analysis that feed the board package.
• Close support: Partner with accounting on department-level actuals and classification so every number ties across the GL, the platform, and every report that cites it.

• Data integrity: Run validation and quality checks across revenue, cost of revenue, and opex before anything leaves finance.
• Automate the repetitive: Every hour you take out of the monthly cycle is an hour redeployed to analysis. Find them and take them out.
• Documentation: Document the models and the logic you own as you build them, so the function is never keyed to one person.

Required

• Bachelor's degree in finance, accounting, economics, or a related field.
• 3–5 years of progressive FP&A, corporate finance, or strategic finance experience, including direct ownership of a forecast.
• Experience in a SaaS, subscription, or recurring-revenue business, with a strong command of ARR/MRR, bookings, NRR, churn, gross margin, CAC, LTV, payback period, and pipeline coverage.
• Experience partnering cross-functionally with sales, marketing, or revenue operations.
• Advanced Excel / Google Sheets — driver-based modeling, scenario analysis, and large data manipulation (pivot tables, XLOOKUP / INDEX-MATCH).
• Demonstrated ability to build a model someone else can pick up — versioned, documented, and auditable.
• Strong written communication: you can explain a variance in two sentences to someone who does not work in finance.
• Experience using automation in finance workflows, along with curiosity about applying AI tools such as Claude, Gemini, or similar technologies to analysis and process improvement.
• Comfort building in white space — you can take an undefined problem and return with a framework.
• Strong organizational skills and the ability to juggle competing priorities without dropping balls.
• Able to work 3 days per week on-site in Denver.

Preferred

• Experience automating a recurring report, model, or reporting process.
• Prior experience at a high-growth startup, technology company, or SaaS environment.
• Background in automotive retail, dealer technology, or another vertical SaaS with usage- and implementation-driven revenue.
• Experience supporting board reporting, 409A valuations, or fundraise diligence.
• Experience with our stack or similar tools: Rillet, Ramp, HubSpot, BambooHR, Carta.

• Green field. Much of what you will own does not exist yet. You get to define it, not inherit it.
• Visibility with leadership from month one — your analysis goes in front of the people making the decisions.
• Direct exposure to a Series B company's full planning cycle — board reporting, pricing, unit economics, and capital allocation.
• A Director who treats you as a partner, not a deliverable factory. You'll get coaching, not micromanagement.
• A culture that genuinely embraces AI as a force multiplier — your work scales with the tools you bring.
• Finance infrastructure that is already automated — you will spend your time on analysis, not assembly.
• Hybrid flexibility (3 days in-office)

• Dealership Obsessed: We measure our success by the dealer's wins and the trust of their buyers, not just our own code.
• Relentless Ownership: No lone wolves, but no pass-backs either. We don't say "that's not my job."
• Invent with Purpose: We don't chase shiny tech. We replace guesswork with intelligence, building the data backbone that turns raw information into a competitive advantage.
• Value Every Perspective: We are Better Together. We check egos at the door.
• Evolve or Evaporate: Change is our constant. We stay ahead by learning faster than the competition.
• Now Over Next: Perfection is the enemy of progress. We prefer action over endless analysis.

• Annual performance bonus eligibility.
• Equity participation in a venture-backed Series B company.
• Comprehensive medical, dental, and vision benefits.
• Employer-provided short-term and long-term disability and life insurance.
• Matching 401(k) plan.
• Unlimited paid time off, plus 10 paid holidays.
• Ongoing professional development reimbursement.
• The expected salary range for this role is $83,000 to $113,000 annually, commensurate with experience and qualifications.