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About the role
Key responsibilities & impact- Revenue & ARR Forecasting Own the ARR waterfall model (new, expansion, contraction, churn) with a particular focus on retention dynamics and forward revenue visibility.
- Partner with RevOps to translate pipeline conversion, quota attainment, and bookings performance into a robust revenue forecast.
- Develop driver-based forecasting models — incorporating AI and machine learning techniques — that link sales activity, platform volumes (the number of parcels our customers ship), and pricing dynamics to ARR and cash outcomes.
- Provide clear analysis on revenue quality, cohort behaviour, and unit economics.
- Planning, Budgeting & Long-Range Modelling Lead the annual budgeting process and rolling monthly forecasts across revenue, opex, headcount, and cash.
- Own workforce planning and cost modelling, ensuring alignment between hiring plans, productivity assumptions, and EBITDA targets.
- Own and continuously enhance our fully integrated financial forecast model, embedding AI-driven automation and other software tools to reduce manual effort and improve forecast accuracy.
- Support long-range planning and value creation modelling aligned to the PE investment thesis.
- Lead financial modelling for acquisition opportunities and support post-acquisition integration modelling.
- Cash Flow & Performance Discipline Own cash flow forecasting and working capital visibility in collaboration with Treasury and Accounting.
- Track and report on key PE performance metrics including growth, EBITDA, cash conversion, and leverage.
- Identify risks early and propose mitigation actions to protect forecast accuracy and EBITDA delivery.
- Management, Board & Investor Reporting Produce monthly management packs and board materials — leveraging AI-assisted analytics where appropriate — including clear variance analysis, KPI tracking, and forward-looking commentary.
- Support quarterly investor reporting and lender updates where applicable.
- Present financial insights confidently to senior stakeholders.
- Systems & Continuous Improvement Drive improvements in FP&A processes, automation, and reporting infrastructure.
- Leverage modern data tools (e.g., Snowflake, Power BI, Looker) to improve forecasting accuracy and transparency.
- Champion the adoption of AI and intelligent automation across FP&A and the wider Finance organisation, from scenario modelling and anomaly detection to automated reporting and natural-language insight generation Stay current on emerging AI tools and LLM capabilities relevant to finance, evaluating and piloting new solutions that can accelerate insight delivery.
- Ensure data integrity across financial and operational reporting.
Requirements
What you’ll need- Strong understanding of SaaS metrics and revenue mechanics (ARR waterfall, retention, cohort analysis, Rule of 40).
- Advanced financial modelling skills, including integrated three-statement modelling and driver-based forecasting (in Excel or other tools).
- Familiarity with modern BI stacks, working directly with large datasets, and hands-on use of AI/LLM-based tools (e.g., Claude) for financial analysis.
- Ability to translate complex data into clear commercial insight for non-finance stakeholders.
- Demonstrated experience applying AI, machine learning, or intelligent automation tools to finance workflows (e.g., forecasting, anomaly detection, automated reporting).
- Comfortable working in a fast-paced, accountable environment where forecast accuracy and delivery matter.
- You are a hands-on and willing to work in a small but fast-paced Strategic Finance team.
- ACA, ACCA, CIMA, CFA or equivalent qualification preferred.
- Experience operating in a performance-driven, PE-backed or high-growth environment.
- Experience supporting M&A transactions and integration modelling.
- Exposure to debt facilities and covenant reporting.
Benefits
Comp & perks- Health insurance
- 401(k) matching
- Paid time off
- Flexible working hours
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
revenue forecastingARR waterfall modeldriver-based forecastingfinancial modellingcohort analysiscash flow forecastingperformance metrics trackingdata analysisAI application in financemachine learning techniques
Soft Skills
communicationanalytical thinkingproblem-solvingstakeholder managementadaptabilityteam collaborationpresentation skillsattention to detailstrategic thinkingtime management
Certifications
ACAACCACIMACFA
