About The Position

Bask is hiring a strategic and analytical operator to partner with Sales Leadership and drive enterprise revenue growth. The role owns sales performance, pipeline health, forecasting, account planning, and the operating cadence, while building scalable processes and systems that help the enterprise sales organization perform consistently as the company grows. The position combines strategic planning with hands-on execution. It uses pipeline, win/loss, deal velocity, conversion, and retention data to identify risks and opportunities, advise leadership, and translate business goals into measurable outcomes. The role works cross-functionally with Sales, Finance, Recruiting, Sales Development, GTM Systems, Engineering, and Data teams. Bask’s Revenue Operations organization is AI-first and customer-obsessed. The role is expected to use LLMs and AI as collaborators for research, analysis, strategy, and workflow development, validate outputs against business data and customer outcomes, and share effective AI-native workflows across Revenue Operations. The company describes itself as a rapidly growing startup with a high-performance, collaborative culture.

Requirements

  • At least 8 years of experience in Sales Strategy & Operations, Revenue Operations, Sales Operations, or GTM Strategy at a high-growth technology or SaaS company.
  • Direct experience supporting enterprise or large-account sales organizations.
  • Proven ability to independently own strategic and operational initiatives within a growing business.
  • Experience managing sales operating cadences, including pipeline reviews, forecast calls, and quarterly business reviews.
  • Strong understanding of enterprise sales processes, pipeline management, forecasting, deal velocity, and revenue performance metrics.
  • Experience with territory design, account planning, capacity modeling, and quota setting in partnership with Finance and Sales Leadership.
  • Strong Salesforce expertise, including reporting, dashboards, and CRM process optimization.
  • Advanced Excel or Google Sheets skills and experience working with BI platforms and large datasets.
  • Experience collaborating with senior stakeholders across Sales, Finance, Data, and Systems teams.
  • Experience building and improving sales processes, operational frameworks, and scalable workflows.
  • Ability to communicate complex data and recommendations clearly in writing and in person.
  • Strong organization and ability to manage multiple projects and priorities in a fast-paced environment.
  • Comfort with ambiguity and ownership of projects from initial idea through execution.
  • AI-native mindset and interest in using AI and automation to improve sales operations and business performance.
  • Creative problem-solving ability and determination to succeed.
  • Independence and motivation, with sound judgment about when to seek help.
  • Comfort working in a fast-paced startup environment and willingness to take on tasks of varying scope.

Nice To Haves

  • SQL experience.

Responsibilities

  • Partner with Sales Leadership to define priorities, manage performance, and execute enterprise sales strategy.
  • Own the operating cadence, including weekly pipeline reviews, forecasting calls, and monthly and quarterly business reviews.
  • Monitor pipeline health, deal progression, win rates, sales cycles, and account performance to identify risks and opportunities.
  • Build and maintain forecasting models, dashboards, and reporting that provide visibility into sales performance and future revenue.
  • Own territory design and account planning, including segmentation, prioritization, assignments, and account transitions.
  • Partner with Finance and Sales Leadership on capacity planning, quota setting, target allocation, and annual planning.
  • Develop and operationalize sales plays and growth programs, including market sizing, account prioritization, and strategies for entering new customer segments.
  • Partner with Sales Development to improve outbound strategy, account targeting, pipeline generation, and lead-to-opportunity conversion.
  • Work with GTM Systems, Engineering, and Data teams to improve CRM infrastructure, automate workflows, and build tools that increase sales productivity.
  • Identify process gaps and implement improvements across the sales organization, ensuring processes are adopted and followed consistently.
  • Support onboarding and enablement for new sales representatives and leaders, including account assignments, systems, workflows, and operating expectations.
  • Use LLMs to structure sales strategy, analyze performance, identify opportunities, and build operational workflows; validate outputs and turn them into actionable recommendations.
  • Use sales and revenue data to understand performance, identify gaps, and advise Sales Leadership on where to focus.
  • Identify opportunities to apply AI, automation, and improved tooling to reduce manual work and improve visibility and sales effectiveness; share effective workflows across Revenue Operations.
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