nShift

Account Manager

• Own nShift's operational relationship with carrier partners, applying the right level of proactive attention based on customer impact.
• Lead the adoption of AI and automation to make carrier integration faster and more scalable.
• Own end-to-end delivery coordination for carrier work across the team and Engineering, including dependencies, timelines and release readiness.
• Lead, coach and develop the team leads and their teams across integration delivery and carrier partnerships.
• Set clear triage boundaries with Support, Professional Services and Sales so specialists focus on genuine carrier work.

Director of Carrier Integration – Partnerships

• Full commercial ownership of a portfolio of customers, with accountability for net revenue retention and expansion
• Drive upsell and cross-sell opportunities across nShift's full product suite, identifying where customers can unlock additional value
• Own renewals end-to-end - building strong relationships well in advance of contract dates and proactively managing risk to prevent churn
• Develop and execute account plans for your customers, aligning nShift's roadmap and capabilities to their long-term business goals
• Build and maintain relationships across multiple stakeholder levels, from day-to-day champions to C-suite executives
• Maintain an accurate and healthy pipeline of expansion and renewal opportunities in Salesforce
• Partner with Customer Success Managers on joint account strategies to maximise customer health and growth
• Use data and business insights to make compelling cases for adoption, expansion, and deeper integration
• Act as the voice of the customer internally — feeding market intelligence and customer feedback into Product, Marketing, and Leadership
• Represent nShift at customer meetings, industry events and trade shows across the region

Artificial Intelligence

• Own the product operating system and make it agentic
• Manage roadmap planning cycles and portfolio prioritization
• Own the end-to-end launch process
• Build and maintain the shared agentic platform

Product AI Ops Lead

Product Marketing

• Own pipeline reporting and forecasting hygiene across all new-logo segments, ensuring leadership always has a reliable, single view of funnel health
• Build and maintain dashboards and analyses covering conversion rates, deal velocity, rep performance, and quota attainment
• Translate data into clear, actionable narratives for Sales leadership and executive audiences — including board-level reporting
• Design and maintain quota-setting and territory models in collaboration with Finance and RevOps leadership
• Own the continuous improvement of Salesforce for the sales organisation, processes, layouts, data integrity, user adoption
• Manage Apollo.io as the primary outbound prospecting and enrichment tool, including sequence governance, list quality, and integration hygiene with Salesforce
• Ensure the broader GTM tech stack (including PandaDoc for contract workflows) is configured, integrated, and used correctly
• Lead or contribute to cross-functional initiatives that improve sales effectiveness from ICP refinement and rules-of-engagement design to onboarding playbooks and comp plan roll-outs
• Serve as the primary RevOps contact for the new-logo sales teams including operational questions, communicating process changes, and maintaining a trusted, responsive relationship

Go-To-Market Operations Manager

Product Manager

• Define and own the data driven product strategy
• Own the roadmap for nShift's data intelligence layer: carrier performance prediction, cross-customer benchmarking, ML-driven carrier recommendations, and related capabilities
• Translate nShift's data asset into a sequenced product strategy that delivers near-term value while building toward the compounding intelligence layer vision
• Define the information architecture for the data insights layer: what data is collected, how it is normalized (in partnership with adjacent teams), and how it is exposed to upstream products
• Make hard prioritization calls: what to build first to validate the ML hypothesis, what to defer, and what to kill when the data doesn't support the bet
• Own the qualitative intelligence pipeline alongside the quantitative one: define which unstructured sources carry decision-relevant signal (support tickets, delivery exception messages, customer forum, carrier communications)
• Build and validate before engineering commits

Product Manager, Data Insights

Account Executive

• Own and manage a portfolio of ~20–30 Tier 1 enterprise customers.
• Act as the single point of contact and trusted advisor for senior executives and key decision-makers.
• Build multi-level, cross-functional relationships to embed nShift across customer organisations.
• Create and execute joint success plans with customers, ensuring alignment with their strategic goals.
• Drive renewals with a focus on zero churn, proactively identifying and addressing risks.
• Identify upsell and cross-sell opportunities to drive revenue growth within the portfolio.
• Partner with Sales, Technical and Product teams to align new offerings with customer priorities.
• Serve as a champion for customers internally, influencing product roadmaps and service delivery to meet evolving needs.

Strategic Account Director

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.