Jobber

Account Manager

• Manage a portfolio of approximately 300 high-value accounts
• Retain customers and prevent churn
• Grow Gross Payment Volume through Jobber Payments
• Upsell plan upgrades and add-ons
• Build deep, consultative relationships with key clients
• Conduct regular business reviews and strategic planning sessions
• Provide insights and recommendations to optimize customers' use of Jobber products and payment services
• Guide customers toward action through live problem-solving calls
• Identify and drive upsell and cross-sell opportunities
• Increase customer lifetime value
• Collaborate with product, risk, and support departments
• Provide customer-driven feedback to the product team
• Develop best practices and processes for Key Account Management
• Mentor and coach team members
• Report to the Manager, Key Account Management

Key Account Manager

Customer Success Manager

• Create, maintain, and continuously improve knowledge assets throughout their lifecycle
• Ensure knowledge assets remain accurate, discoverable, version controlled, and aligned with knowledge management and AI readiness standards
• Develop knowledge base articles, SOPs, workflows, playbooks, and enablement content
• Apply technical writing, information architecture, taxonomy, metadata, and content standards for human and AI use
• Partner with Product, AI, Data, Customer Success, and subject matter experts to translate product releases, process updates, and operational changes into trusted knowledge
• Use QA findings, Voice of Customer insights, search analytics, frontline feedback, and AI performance signals to identify gaps and improve content
• Create and maintain onboarding resources, reference materials, and performance support content
• Support AI-powered workflows and validate knowledge quality for conversational and agentic AI, agent assist, search, self-service, and other AI-enabled experiences
• Report to the Senior Manager, Enablement & Knowledge Systems

Customer Success Enablement Specialist – Knowledge Management, AI

• Own and manage a defined book of strategic technology partners post-activation
• Drive day-to-day partner management, ensuring alignment on shared goals and KPIs
• Develop and execute joint business plans to accelerate revenue, adoption, and product expansion
• Identify upsell, cross-sell, and new integration opportunities within your portfolio
• Lead executive business reviews and ongoing performance discussions
• Manage renewals and lead complex commercial negotiations to maximize value for Jobber
• Own the partner function post-activation, establishing a structured and scalable engagement model
• Design and implement the end-to-end partner journey from launch through scale
• Define partner success metrics, health indicators, and governance standards
• Document best practices and create repeatable frameworks for partner management
• Establish meeting cadences, reporting templates, QBR structures, and growth playbooks
• Build scalable processes that enable the broader team to manage partners consistently and effectively
• Influence partner product roadmaps to align with Jobber’s strategic priorities
• Identify ecosystem gaps and conduct buy/build/partner analyses
• Monitor market, industry, and competitive trends to inform partnership strategy
• Partner closely with the Business Development Manager, Technology Partnerships to ensure seamless transition from deal activation to growth
• Collaborate with Product, Engineering, Marketing, Sales, and Success teams to align partnership initiatives with Jobber’s broader business objectives
• Enable co-marketing and co-sell motions to drive customer acquisition and retention
• Provide partnership insights and performance reporting to senior leadership

Senior Partner Manager – Product Partnerships

Data Scientist

• Evolve Attribution Modelling & Methodology
• Manage and improve our first-touch attribution model, incorporating new signals and partnering with Analytics to align on business definitions, methodology, and interpretation.
• Enhance our multi-touch attribution model, including bringing in non-clickable sources such as connected TV and Salesforce data, in partnership with Analytics on methodology and interpretation.
• Build model comparison analyses and reporting to evaluate newly developed models against existing first-touch and multi-touch approaches.
• Act as the primary point of contact for diagnosing attribution inconsistencies, partnering with Marketing and Customer Analytics stakeholders to understand perceived under-performance and uncover root causes in data and configuration.
• Integrate new marketing attribution sources end-to-end, including partnering with our data teams to develop reverse ETL models and seed tables needed to sync data into the attribution systems
• Maintain and update attribution seed tables (e.g., adding influencers/partners and implementing UTM mapping changes). Partner with BI to review published PRs and confirm changes meet standards for accuracy, integrity, and alignment with attribution logic.
• Monitor and validate UTM structures and attribution signals, proactively identifying mapping issues and irregularities that impact reporting accuracy.
• Coordinate with Ad Operations to ensure tracking configurations align with attribution needs and that collected web data is structured and usable for modelling.
• Write and maintain production-quality SQL to analyze raw marketing, product, and revenue signals into analysis-ready and reverse ETL datasets.
• Translate data analysis into dimensional/semantic model requirements (e.g., clean attribution-ready tables, standardized channel mappings, and reusable metrics definitions) that downstream reporting and stakeholders can trust.
• Collaborate with the relevant data teams to review and maintain data models that support first-touch and multi-touch attribution, including new source onboarding, table improvements, and model comparison reporting.
• Review and maintain quality checks and validation logic to ensure changes to data models, UTMs, and attribution logic don’t break downstream reporting.
• Partner with BI and stakeholders to align on definitions, logic, and documentation, ensuring datasets are understood, governed, and reusable across the org
• Lead attribution onboarding/training for new Marketing hires, including how account-level attribution is derived and interpreted
• Develop and maintain documentation for:
• Attribution logic and frameworks
• Seed table dictionaries
• UTM standards
• Model configuration
• Support proactive enhancements that improve attribution ROI and stakeholder confidence.
• Help operationalize prospect data flows (e.g., cleaning/loading cold prospect data into tools used for retargeting, sequencing, and warming), so GTM teams can execute reliably

Marketing Data Manager

• Manage a funnel of existing customers to identify expansion opportunities
• Proactively connect with customers, recommending improved use of Jobber
• Consistently achieve and exceed sales targets
• Communicate and collaborate with various departments for feedback
• Track key information in Salesforce for follow-up and analytics

Product Designer

• Drive high-impact design projects from concept to delivery, ensuring quality, consistency, and innovative solutions across all touchpoints
• Work closely with Product, Engineering, and Data teams to understand customer needs
• Define and drive the UX strategy for your product area
• Partner with other designers to foster growth, collaboration, and continuous improvement
• Champion customer-centric product thinking throughout the product development lifecycle

Senior Product Designer, Fintech

• Build Jobber’s Marketing Measurement System: Design and evolve an integrated marketing measurement system that brings together marketing mix modelling (MMM), attribution, incrementality testing, experimentation, forecasting, and business performance diagnostics
• Apply Advanced Analytics to Growth Decisions: Apply causal-inference and statistical techniques to distinguish true incremental impact from correlation, selection effects, seasonality, and noise
• Act as a Strategic Partner to Marketing Leaders: Partner closely with leaders and teams across Demand Generation, Performance Marketing, Brand Marketing & Communications, Marketing Operations, Finance, and adjacent analytics functions
• Build Scalable, AI-Native, and Trusted Analytical Capabilities: Create reproducible, well-documented analytical workflows with strong quality assurance, peer review, version control, and clear methodological standards
• Lead as a Senior Individual Contributor: Independently own complex, ambiguous, and high-impact work from initial problem framing through modelling, interpretation, recommendation, and business adoption.