RevOps Specialist
About the Role
We are looking for a highly driven and detail-oriented Revenue Operations (RevOps) Manager to join our team. This role sits at the intersection of sales, marketing, and customer success, ensuring our go-to-market teams are fully equipped to drive revenue growth efficiently and effectively. You’ll play a pivotal role in optimizing processes, enabling our sales teams, and providing the insights necessary for strategic decision-making.
Key Responsibilities
Sales Enablement
Prepare product demos based out of use cases in StackAI’s platform
Develop and maintain sales collateral including brochures, one-pagers, case studies, and presentations.
Build and update competitor scorecards and market intelligence briefs.
Research emerging technologies and competitor strategies to support positioning and messaging.
Manage and optimize sales tools (e.g., CRM, outreach tools, enablement platforms) to ensure high adoption and data accuracy.
Own and maintain the CRM system, ensuring data hygiene, process adherence, and automation for efficiency.
Support pricing and packaging initiatives with data-driven insights.
Analytics & Performance Tracking
Set up and maintain sales analytics dashboards to track performance metrics.
Measure and report on critical KPIs such as CAC (Customer Acquisition Cost), LTV (Customer Lifetime Value), pipeline velocity, and conversion rates.
Conduct regular revenue performance analysis to identify growth opportunities and bottlenecks.
Partner with Finance and Leadership to forecast revenue and track against company goals.
Deliver actionable insights to sales and marketing leadership to drive strategic decisions.
Cross-Functional Collaboration
Work closely with Marketing to align campaigns with sales objectives and ensure seamless lead handoff.
Partner with Customer Success to track retention, expansion, and upsell metrics.
Collaborate with Product teams to feed customer and competitive insights into product strategy.
Serve as a trusted advisor to leadership by providing recommendations based on data and market intelligence.
Additional Responsibilities
Maintain and update sales playbooks, ensuring best practices are documented and scalable.
Train sales teams on tools, processes, and new collateral.
Drive adoption of RevOps best practices across the organization.
Stay updated on industry trends and bring innovative ideas to enhance go-to-market efficiency.
Qualifications
1+ years of experience in Revenue Operations, Sales Operations, or a related field.
Strong understanding of B2B sales processes and metrics.
Hands-on experience with CRM systems (e.g., HubSpot) and sales enablement tools (e.g., Apollo)
Advanced proficiency in Excel/Google Sheets and data visualization platforms (e.g., Looker, Tableau, Power BI).
Exceptional analytical and problem-solving skills, with a data-driven mindset.
Excellent communication skills and ability to work cross-functionally with diverse teams.
Highly organized, detail-oriented, and able to manage multiple priorities in a fast-paced environment.
What We Offer
The opportunity to shape the growth strategy of a fast-scaling startup.
A collaborative environment where your input directly impacts revenue growth.
Access to best-in-class tools and resources to do your best work.
Competitive compensation package with benefits and career growth opportunities.
About StackAI
Stack AI is a no-code drag-and-drop tool to quickly design, test, and deploy AI workflows that leverage Large Language Models (LLMs), such as ChatGPT, to automate any business process.
Our core value is to make it extremely easy to build arbitrarily complex AI pipelines using a visual interface that allows you to connect different data sources with different AI models.
Our customers use Stack AI to build applications such as:
Chatbots and Assistants: AI agents that interact with users, answer questions, and complete tasks, using your internal data and APIs.
Document Processing: apps to answer questions, summarize, and extract insights from any document, no matter how long.
Answer Questions on Databases: connect GPT-like models to databases (such as Notion, Airtable, or Postgres) and ask questions about them.
Content Creation: generate tags, summaries, and transfer styles or formats between documents and data sources.
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