We are looking for a highly analytical and detail-focused Product Marketing professional to take ownership of our lead scoring frameworks, intent-driven marketing programs, and pipeline performance analytics. This role is ideal for someone excited to grow within a fast-moving organization that operates at the cutting edge of AI-powered technology.
VIDIZMO is a U.S.-based technology company headquartered in Tysons, Virginia, and a certified Microsoft Solutions Partner across Data & AI, Infrastructure, and Digital & App Innovation. Through our AI-powered Intelligence Hub, we help Fortune 500 enterprises, large organizations, government agencies, and public sector entities securely manage, analyze, and govern complex data while maintaining full control and compliance.
Our Multimodal AI Data Intelligence Platform utilizes Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to enable advanced capabilities such as automated tagging and redaction, content summarization, OCR, translation, subtitle generation, object detection and tracking, intelligent search, sentiment and emotion analysis, topic extraction, document classification, and facial attribute recognition.
Role Overview
This position serves as a critical link between marketing, sales, and leadership teams, ensuring that growth initiatives translate into meaningful pipeline and revenue impact. The role requires strong judgment and ownership—you’ll be expected to evaluate, prioritize, and optimize, not just execute predefined tasks.
AI Output Verification & Accountability (Required Competency)
The candidate must be capable of effectively using AI tools (e.g., Claude, ChatGPT, Copilot, or similar) to support work outputs such as content, analysis, documentation, or code. However, the candidate must also demonstrate strong judgment and ownership of the final deliverables. AI-generated output must never be treated as final without review. The candidate is expected to validate accuracy, completeness, logic, compliance, and alignment with business requirements, and refine AI-assisted work to meet the expected quality standards. The individual will be held accountable for the final output, regardless of whether AI tools were used during execution.
Key Responsibilities
- Responsibility for reviewing and validating AI-generated outputs
- Ownership of final deliverables, regardless of AI assistance
- Ability to critically evaluate AI results and ensure they meet defined requirements
- Accountability for accuracy, quality, and compliance
Lead Scoring & Funnel Management
- Design, own, and continuously refine lead scoring models at the product level.
- Ensure marketing-qualified lead criteria reflect actual sales qualification standards.
- Improve scoring accuracy using behavioral signals, firmographic data, and conversion insights.
- Apply score decay, negative scoring, and lifecycle controls to maintain funnel integrity.
Intent-Driven Demand Strategy
- Identify and monitor high-intent buyer actions across products and journeys.
- Develop automation workflows that fast-track sales-ready prospects while nurturing mid-funnel leads.
- Segment audiences by product interest, buyer persona, and stage in the buying cycle to improve relevance and conversion.
Content & Objection Intelligence
- Turn insights from sales calls and feedback into actionable content and messaging improvements.
- Guide the creation of enablement materials that directly address buyer concerns and sales objections.
- Manage the intent-based content framework, determining which assets to expand, refine, or retire.
Traffic & Pipeline Analytics
- Create and maintain distinct dashboards for traffic performance and pipeline/revenue contribution.
- Provide regular insights into what generates leads versus what drives closed deals.
- Challenge surface-level metrics and reorient reporting toward revenue-impacting outcomes.
Sales & Cross-Functional Alignment
- Collaborate closely with Sales leadership, SDR teams, and Product Marketing partners.
- Lead recurring funnel reviews to identify gaps and optimization opportunities.
- Recommend data-informed adjustments to campaigns, scoring logic, and messaging.
HubSpot Platform Ownership
- Manage advanced HubSpot configurations, including workflows, attribution models, and lifecycle stages.
- Implement automation to improve efficiency across marketing and sales operations.
- Ensure the platform remains reliable, scalable, and aligned with business growth objectives.
Qualifications
- Bachelor’s degree in Marketing, Business, Computer Science, IT, or a related discipline.
- Demonstrated experience supporting product-focused or technology-driven marketing initiatives.
Requirements
- 2–5+ years of experience in Marketing Operations, Revenue Operations, Growth, or similar roles.
- Strong hands-on experience with HubSpot CRM, including advanced automation, attribution, and lifecycle design. Excellent analytical skills paired with strong business judgment.
- Ability to work independently, take ownership, and approach decisions with a revenue-first mindset.
- Proven experience influencing cross-functional teams without formal authority.
- Comfortable making trade-offs based on impact, urgency, and business priorities.
- Data-driven approach with the ability to contextualize insights for real-world execution.
- Track record of aligning marketing initiatives with sales performance and revenue outcomes.
Essential Skills
The ideal candidate demonstrates strong commercial awareness, can convert business objectives into practical solutions, and is proficient in using AI tools—including regular use of platforms such as ChatGPT—to improve productivity and decision-making. A strong sense of ownership and the ability to deliver results with minimal task-level guidance are essential.
Why Join US?
- Work at the intersection of artificial intelligence, digital transformation, and public safety technology.
- Join a fast-growing global SaaS organization with strong strategic partnerships, including Microsoft IP Co-Sell.
- Collaborate with a motivated, innovative, and globally distributed team.
- Competitive compensation with performance-based incentives.
- Opportunity to influence and shape go-to-market execution for industry-leading AI-powered solutions.
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