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Salary: USD 60,000 - 65,000 / annual
Phenom is an Applied AI platform helping enterprises attract, engage, hire, develop, and retain talent. The Revenue Intelligence Strategist sits at the intersection of AI, business intelligence, and revenue strategy, 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.
Key Responsibilities:
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 to 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 aligned 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 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: The role focuses on five primary categories: 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); and Executive Intent & Workforce Pressure (leadership priorities, retention challenges, organizational change).
Success Metrics: Measured on business outcomes including signal-sourced pipeline ($), Tier 1 Account to Opportunity conversion rate, RDR adoption and utilization of revenue intelligence, and win rate of signal-sourced deals. Additional measures include sales cycle velocity, ACV growth, opportunity acceptance rates, and revenue contribution by signal category.
Requirements:
- 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 ability to translate data into actionable business recommendations
- Experience leveraging AI tools and research platforms to gather and synthesize insights
- Strong communication skills with ability to present findings to both frontline teams and executive stakeholders
- Curiosity about business strategy, market trends, and customer buying behavior
Preferred Technology Experience:
- AI & Research: ChatGPT, Claude, Perplexity, Gamma, Cursor
- Revenue & Sales Platforms: Salesforce, Gong, Outreach, Salesloft
- Intelligence & Data Tools: LinkedIn Sales Navigator, ZoomInfo, Clay, Similarweb, Crunchbase
