Sr. Market Intelligence Specialist

Public Disclosures & Benchmarking:

• Deconstruct External Metrics: Analyze public company filings, investor presentations, and equity research to extract performance benchmarks relevant to HighLevel’s business model.
• Assess Data Integrity: Evaluate the quality and applicability of third-party data, clearly articulating assumptions, limitations, and confidence levels.
• Contextualize Performance: Bridge external peer data with internal KPIs, providing the “relative truth” that helps leadership determine whether observed performance is driven by company execution or broader market beta.

Strategic Pattern Recognition:

• Decode Competitor Intent: Analyze how competitors, adjacent SaaS categories, and fragmented SMB-focused tools articulate strategy in public forums to infer long-term intent and directional shifts.
• Identify Structural Patterns: Recognize recurring strategic plays across the SaaS category, such as changes in pricing power, distribution models, or M&A clustering, and translate these into analytically grounded insights.
• Executive Briefing & Synthesis: Produce high-signal, structured narratives that shape the mental model of senior leaders, prioritizing clarity and brevity over exhaustive reporting.

Market Signals & Macro Synthesis:

• Monitor the Ecosystem: Track macroeconomic shifts, regulatory changes, and capital-flow trends within the SMB SaaS landscape, identifying which external signals matter and which can be safely ignored.
• Sentiment & Early Warning Analysis: Synthesize investor behavior and analyst consensus to surface emerging themes and early-warning signals before they reach the mainstream.
• Isolate External vs. Internal Drivers: Distinguish company-specific performance dynamics from category-level or macro-driven effects.