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nShift

FP&A Manager

nShift

FP&A Manager at nShift transforming forecasting, reporting, and decision-making in a SaaS environment. Utilizing AI and automation in a high-growth, PE-backed context.

Posted 5/26/2026full-timeOslo • 🇬🇧 United KingdomMid-LevelSeniorWebsite

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

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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