About Us:

nShift is the leading global provider of cloud delivery management solutions (SaaS), we enable the frictionless shipment and return of almost one billion shipments across 190 countries each year. We are headquartered in London and Oslo and have over 460 employees across offices in Sweden, Finland, Norway, Denmark, the United Kingdom, Poland, the Netherlands, Belgium, and Romania.

Our software is used by many of the world leading e-commerce, retail, manufacturing, and 3PL shippers due to us having over 1000 carriers integrated into our platform, nearly 3 times more than our competitors!

If you buy goods online, there is a strong chance that nShift has powered that delivery, so come and join us as we shape the future of shipping, one frictionless journey at a time.

About You:

We are owned by Francisco Partners and Marlin Equity Partners — two specialist technology private equity investors. For the right candidate, this is a genuine differentiator: you'll work in a high-visibility finance function where rigour, analytical depth, and board-ready output are the standard. Expect regular interaction with our investors, exposure to PE-grade financial reporting, and a structured, fast-paced environment.

You are a commercially minded professional who combines deep financial expertise with a genuine enthusiasm for AI and automation. You see AI not as a buzzword but as a practical lever to transform forecasting, reporting, and decision-support processes and you’re excited to lead that transformation in a PE-backed SaaS business.

You have experience in roles combining financial and data analysis with a commercial mindset. This may be from an FP&A, banking, or data focused management consultancy environment. Or you might be someone who excels at telling a story with financial data, and who has the technical knowledge to work with R&D, Analytics and external data consultants to build the infrastructure to support it.

Key Responsibilities:

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.

Competence and experience:

Required

• 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.

Preferred

• ACA, ACCA, CIMA, CFA or equivalent qualification.

• 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.

Please ensure you upload your CV in English.

At nShift we believe in embracing diversity in all forms and fostering an inclusive environment for everyone which we believe is essential for our continued success. We're an equal-opportunity employer which means that all applicants will receive consideration for employment without regard to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity, or disability status.

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