Revenue Intelligence Strategist; On-site

Revenue Intelligence Strategist

Phenom is an Applied AI platform helping enterprises attract, engage, hire, develop, and retain talent. As AI transforms the future of work, we're evolving how revenue teams identify opportunities, understand customer challenges, and engage prospects with precision.

The Revenue Intelligence Strategist sits at the intersection of AI, business intelligence, and revenue strategy. This role is responsible for identifying buying signals, uncovering high-priority accounts, and translating market intelligence into actionable revenue plays that drive pipeline, accelerate sales cycles, and increase win rates. You'll leverage AI agents, account scoring models, workforce intelligence, and business research to help our revenue teams focus on the right accounts, with the right message, at the right time.

Identify Revenue Opportunities

• Leverage AI agents and intelligence platforms to identify buying signals across target accounts.
• Analyze workforce growth, hiring trends, executive initiatives, AI investments, financial performance, and organizational change.
• Surface emerging opportunities before they become active buying cycles.

Prioritize High-Value Accounts

• Manage and refine account scoring models that identify Tier 1 opportunities.
• Identify hyper-growth accounts, talent hubs, and expansion initiatives that align with Phenom's ideal customer profile.
• Continuously improve prioritization frameworks based on conversion and revenue outcomes.

Build Revenue Playbooks

• Develop account and industry playbooks that help RDRs execute targeted outreach.
• Translate intelligence into messaging, business cases, use cases, and ROI narratives that resonate with prospects.
• Equip field teams with actionable insights that improve engagement and conversion rates.

Measure and Optimize Performance

• Track the performance of buying signals throughout the funnel.
• Analyze which signals generate pipeline, opportunities, faster sales cycles, higher ACV, and stronger win rates.
• Establish feedback loops with Revenue, Marketing, and Operations teams to continuously improve signal quality and effectiveness.

Deliver Strategic Insights

• Provide ongoing recommendations and insights to Revenue Leadership.
• Identify trends, emerging markets, and new opportunity areas that can influence go-to-market strategy.
• Help shape how Phenom prioritizes markets, accounts, and revenue opportunities.

Signal Categories You'll Analyze

• Expansion & Growth – New locations, business expansion, acquisitions, workforce growth
• Hiring Volume & Workforce Scale – Recruiting demand, labor shortages, hiring surges
• Financial Outlook – Revenue growth, investment activity, strategic initiatives
• AI & Automation Adoption – Digital transformation and workforce modernization efforts
• Executive Intent & Workforce Pressure – Leadership priorities, retention challenges, organizational change

• 0-5 years of experience in Revenue Operations, Sales Strategy, Business Intelligence, Market Research, Consulting, Sales Development, or GTM Operations.
• Strong analytical and problem-solving skills with the ability to translate data into actionable business recommendations.
• Experience leveraging AI tools and research platforms to gather and synthesize insights.
• Strong communication skills with the ability to present findings to both frontline teams and executive stakeholders.
• Curiosity about business strategy, market trends, and customer buying behavior.

• AI & Research:
  ChatGPT, Claude, Perplexity, Gamma, Cursor
• Revenue & Sales Platforms:
  Salesforce, Gong, Outreach, Salesloft
• Intelligence & Data Tools:
  Linked In Sales Navigator, Zoom Info, Clay, Similarweb, Crunchbase

The Revenue Intelligence Strategist will be measured on business outcomes, not activity.

• Signal-Sourced Pipeline ($)
• Tier 1 Account → Opportunity Conversion Rate
• RDR Adoption & Utilization of Revenue Intelligence
• Win Rate of Signal-Sourced Deals

Additional measures include sales cycle velocity, ACV growth, opportunity acceptance rates, and revenue contribution by signal category.

The future of revenue generation isn't about more…