nShift

Customer Support

• Jij bent de verbinding tussen onze klanten, vervoerders, IT-partijen en de nShift-organisatie
• Je beantwoordt diverse vragen over onze verzendsoftware per telefoon, via ons ticketsysteem (Zendesk), of per e-mail
• Je zorgt ervoor dat klanten tijdig, correct en vriendelijk worden geholpen
• Intern vertegenwoordig je de klant en extern vertegenwoordig je nShift in je communicatie

Customer Support Specialist

Sales

• Own the full sales cycle from first contact through to signed contract - discovery, demo, proposal, negotiation, and close.
• Together with pre-sales, verify the customer's technical requirements
• Identify client needs and suggest appropriate products/services from the nShift portfolio
• Build a strong personal network across logistics, e-commerce, and retail sectors in the Nordics.
• Use Apollo and other sales intelligence tools to research accounts, identify key contacts, and execute targeted outbound sequences
• Hit and exceed monthly and quarterly new logo and revenue targets
• Proactively identify and target mid-market companies across the Nordics that are a strong fit for nShift's delivery management platform
• Negotiate and close deals with mid-segment & enterprise-sized companies within the manufacturing-industrial sector and towards the logistics industry (3PL & 4PL)
• Attend relevant industry events and trade shows to generate leads and raise nShift's profile in the market
• Stay up-to-date with new products/ services and new pricing/payment plans
• Report to the Head of Sales (weekly/monthly/quarterly) results & improvement ideas
• Consistently generate a pipeline that is 3-4x your quarterly target, maintaining volume and quality at all times
• Manage multiple opportunities simultaneously with a disciplined, CRM-first approach to pipeline hygiene and forecasting

Sales Manager

• Provide technical support to customers and partners via phone and email• Provide basic training to customers and colleagues• Ensure SLA compliance• Respond to and resolve customer requests across multiple channels• Stay ahead of the workload through a proactive approach• Contribute to building a strong, service-oriented team culture where knowledge sharing is central

Support Agent, Danish Speaking

Financial Planning and Analysis

• 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.

FP&A Manager

Support Engineer

• Process customer requests via multiple support channels
• Manage incidents and service requests in line with SLAs
• Troubleshoot and resolve technical issues
• Escalate complex cases when necessary
• Contribute to CSAT and service quality targets
• Identify recurring issues and improvement opportunities
• Share knowledge within the team

Technical Support Engineer, x2

AI Engineer

• Own and administer nShift’s core commercial tools, including Salesforce and Apollo, ensuring they are configured to support how our teams actually work
• Manage and evolve integrations across the commercial ecosystem, NetSuite, HubSpot, Zendesk, Wrike, PandaDoc and others, so data flows cleanly between systems without manual intervention
• Drive tool adoption, data quality, and process hygiene across the commercial organisation
• Redesign commercial processes end-to-end, from lead capture to renewal, identifying where automation can replace manual effort and reduce risk
• Design and implement workflows that improve efficiency, reduce handoff errors, and give teams more time to focus on revenue-generating activity
• Establish data governance standards that make reporting trustworthy and decisions faster
• Build and design AI agents and applications using Claude and other frontier models.

Revenue Tech Lead, AI

Product Manager

• Become the internal authority on the problem space, owning the customer pain points, workflows, and economics of the logistics industry.
• Own and communicate the product vision to engineering, sales, and leadership, and shape long-term strategy beyond near-term planning.
• Own the roadmap across a 3–6 month v1 build cycle, making hard prioritization calls to sequence features for maximum customer value and fastest path to market.
• Define validation criteria for every bet before scaling and know when to kill something as clearly as when to build it.
• Build the value narrative for customer-side buyers, navigating to senior decision-makers and not just logistics managers.
• Partner with engineering to guide productisation of AI agent capabilities into a scalable SaaS product, driving tradeoffs between quality, speed, and unit economics.

Product Manager – AI

Social Media Manager

• Define and own the social media strategy
• Build and maintain the content calendar
• Produce original, engaging social content
• Write clear, engaging, on-brand copy
• Design social assets in Canva
• Manage all social channels and ratings platforms
• Develop and maintain a KPI framework
• Communicate with and coach colleagues on social best practices
• Work closely with performance marketing, regional, sales, and partnership teams

Technical Support Engineer

SDET

• Building and maintaining a high degree of automation
• Working with the team to identify candidates for automation
• Keeping the automation suite updated based on bugs, customer incidents, and feedback