Lobster

Technical Writer

• Create clear, concise guides, conceptual documents, and reference materials for defined reader personas
• Review, restructure, and update existing documentation
• Work closely with Product Managers as primary stakeholders
• Produce enablement materials such as conceptual diagrams, release/feature notes, and tutorials
• Translate feature inputs into user-focused documentation

Senior Technical Writer

Revenue Operations

• Act as a trusted business partner to Sales leadership and Account Executives
• Support Sales teams in achieving their targets through data-driven insights and structured analysis
• Challenge pipeline assumptions and strengthen forecasting discipline
• Identify performance gaps and support Sales leadership with practical improvement measures
• Support pipeline reviews, deal reviews, and forecasting cycles
• Analyze pipeline health, conversion rates, win rates, and sales velocity
• Identify patterns in successful and unsuccessful deals to improve sales execution
• Translate complex datasets into clear, actionable insights
• Support the development of a scalable GTM reporting landscape, including helping structure reporting in Tableau
• Work confidently in HubSpot, using CRM data to generate insights and support Sales
• Leverage HubSpot AI capabilities and emerging AI Agents to enhance analysis and operational efficiency
• Contribute to the development of Tableau-based reporting, helping build scalable GTM dashboards and reporting frameworks
• Develop a strong deal instinct by understanding customer use cases, deal structures, and sales dynamics
• Support Sales teams in evaluating strategic opportunities, deal risks, and prioritization
• Help design and improve the Sales operating cadence
• Support the structure and preparation of weekly revenue cadences, including pipeline reviews, forecast calls, and deal reviews
• Contribute to quarterly cadences such as QBRs and GTM performance deep-dives, ensuring Sales leadership has clear insights and materials
• Act as a connector between Sales, Marketing, Finance, and RevOps
• Ensure transparency around pipeline, performance, and GTM execution
• Translate operational insights into clear actions across teams

Business Partner – Revenue Operations

Learning and Development

• Designing, planning, and creating structured self-service learning modules across all product areas
• Developing written training materials and high-quality video content that support different learning styles and levels of technical expertise
• Collaborating with Product Management, Engineering, and Consulting to translate practical knowledge and best practices into effective learning content
• Ensuring training reflects real-world use cases, data flows, and integration scenarios
• Continuously improving materials based on product updates, customer and partner feedback, and usage insights
• Delivering instructor-led training on-site and remotely for customers and partners
• Contributing to the overall learning strategy and helping ensure consistency, clarity, and scalability across all content in the Lobster Digital Academy

Instructional Designer

Sales Engineer

• The end-to-end technical sales cycle
• Identification and development of technical champions on the customer side
• Designing and presenting tailored solution concepts
• Developing implementation approaches for prospective customers
• Close collaboration with sales, engineering, and Professional Services
• Working hand-in-hand with our sales team to close deals

Senior Sales Engineer

Marketing Operations

• Design a modern revenue operating system that turns marketing strategy into predictable pipeline and revenue
• Architect the entire commercial infrastructure and lifecycle journey from Lead to Expansion
• Orchestrate and evolve the tech stack: integrating tools like Clay, Gong, and Google Tag Manager
• Build multi-touch attribution models and executive dashboards for clear insights into marketing-sourced pipeline, CAC, and velocity
• Transform campaigns into repeatable systems by operationalizing UTM governance, optimizing lead scoring, and building nurture frameworks
• Implement AI-driven enrichment, automated personalization layers, and conversation intelligence
• Define and enforce global data standards and GDPR compliance

Marketing Operations Manager

Growth Marketing

• Identify, engage, and recruit high-potential partners across the Nordic region
• Lead the entire onboarding journey, from initial contracting and commercial setup to ensuring partners are operationally ready with the right licenses and tools
• Act as the primary mentor during the early lifecycle, coordinating essential training and providing the materials needed
• Drive a structured 12-month acceleration model, actively co-selling to help partners move from initial onboarding to their first closed ACV and revenue milestones
• Manage the high-impact handover process, ensuring mature partners are transitioned to the regional Partner Sales Executive
• Work closely with Regional Sales Managers and Revenue Operations, maintaining accurate CRM data to provide clear insights into partner pipeline and ecosystem growth

Partner Growth Manager

Analytics Engineer

• Defining, documenting, and prioritising product metrics and KPIs in close collaboration with Product Managers and senior leadership, ensuring alignment with strategic goals.
• Designing and building robust data pipelines to extract product telemetry from our distributed Java-based middleware platform, spanning Lobster-hosted cloud instances and customer-hosted environments (public cloud, private cloud, and on-premises).
• Engineering relevant collectors, cleanup & interpolation tasks, and data validators.
• Architecting and developing the centralised data lake and warehouse infrastructure, selecting and implementing the right technologies to support scalable, reliable analytics based on a variety of data sources.
• Creating and maintaining interactive dashboards and reports in Tableau or Microsoft Power BI, tailored to the needs of different stakeholders from C-level to product teams.
• Validating and quality-assuring incoming data for plausibility, completeness, and consistency, proactively identifying anomalies and data integrity issues across distributed sources.
• Delivering regular analytical reports and ad-hoc insights to senior management and product managers, translating raw data into clear narratives that inform product strategy.
• Collaborating with the Power BI specialist and product engineers to establish best practices, documentation, and scalable processes for the analytics function.