Responsibilities
- Build and help operationalize a modern, AI-forward competitive intelligence function, including workflows, source libraries, monitoring systems, and reporting cadences.
- Collect, synthesize, and structure competitive and market intelligence across competitors, pricing, product, partnerships, talent, and broader market signals.
- Create and maintain competitor profiles, battlecards, trackers, dashboards, and intelligence repositories for internal use.
- Deliver timely and actionable insights to field and corporate stakeholders to improve positioning, inform decisions, and support execution.
- Build systems to monitor and analyze trends in cybersecurity, Human and Agentic Risk Management, AI/ML, adjacent markets, regulatory developments, emerging threats, and technological advancements.
- Partner closely with the Senior Analyst, Competitive Intelligence & Strategy on ecosystem, corporate development, and broader market analyses.
- Conduct continuous competitive research by monitoring earnings calls, analyst reports, third-party tools (e.g., AlphaSense, Crayon, Gong) ,field intelligence and the use of AI to uncover strategic insights that inform deal strategy and sales enablement.
- Conduct detailed analyses of cybersecurity competitors, including product features, pricing models, market positioning, strategic direction, and customer perceptions.
- Collaborate closely with product marketing, sales, and product management teams to support competitive positioning and strategic initiatives.
- Perform competitive research to gain firsthand insights into competitor sales tactics, messaging, product demonstrations, and customer experience.
- Provide timely alerts and briefings to internal stakeholders on competitive moves, market shifts, or disruptive industry trends.
- Lead competitive win-loss analysis projects, identifying patterns, insights, and actionable recommendations to improve win rates.
- Present competitive intelligence findings clearly and persuasively to executives and cross-functional teams to inform strategic planning.
- Drive workstreams within high-priority strategic initiatives across the company, taking ownership from problem definition through execution and delivery.
- Support and help lead cross-functional projects spanning go-to-market strategy, partnerships and alliances, international expansion, and other critical business priorities.
- Translate strategic priorities into actionable plans, track progress, and ensure initiatives move forward with pace and accountability.
- Partner closely with stakeholders across Sales, Product, Marketing, Finance, and Operations to align on priorities and drive execution.
- Structure complex business problems, develop hypotheses, and translate analysis into clear, actionable recommendations.
- Build executive- and board-ready materials, including strategic updates, analyses, and decision-support content.
- Identify and evaluate growth opportunities across markets, customer segments, and routes to market, and support execution where relevant.
- Translate market dynamics into clear strategic implications and recommended actions.
Requirements
- Bachelor's degree in business, economics, data analytics, information science, engineering, cybersecurity, or a similar analytical field.
- 0-3+ years of experience in competitive intelligence, strategy, market research, consulting, research operations, or a similar analytical role in SaaS, technology, or cybersecurity.
- Strong analytical and structured problem-solving skills, with the ability to convert fragmented data into clear insights.
- Demonstrated ability to build repeatable research processes and maintain high-quality intelligence assets.
- Excellent written and verbal communication skills, including the ability to develop clear executive-ready slides and memos.
- Strong attention to detail, sound judgment on source quality, and ability to distinguish signal from noise.
- Ability to collaborate effectively across GTM, Product, Finance, Legal, and executive stakeholders in a fast-growth environment.
- Curiosity about cybersecurity, Human Risk Management, AI/ML, and adjacent markets.
Nice to Have
- Experience using a mix of paid research tools and open-source intelligence sources.
- Hands-on experience with AI tools, automation, scraping/monitoring workflows, knowledge systems, or analytics tooling.
