Responsibilities

• Go beyond "what happened" to uncover "why it happened" by proactively identifying trends in campaign performance, pipeline velocity, and conversion rates.
• Own the "First Pass" diagnosis: Identify material variances and provide initial possible theories (e.g., ICP mismatch, routing error, or underperformance of expected MQL results).
• Quantify the impact of these trends and propose possible corrective actions (The Math + The Logic) to hand off to GTM Strategy for fiscal validation and final decision (The Business + The Budget).
• Partner with the Field, Digital, Strategic Events, Integrated Campaigns & Channel Marketing teams to optimize territory-based performance using the new Multi-Touch Attribution (MTA) models.
• Maintain reporting hygiene, standard funnel conversion metrics, and recurring dashboards while monitoring performance versus plan.
• Act as the "Check Engine Light" for the GTM engine by monitoring data flows between Marketo, Salesforce, 6Sense, and Snowflake to identify silent failures or data quality erosion.
• Analyze the "Golden Path" to revenue to determine the optimal mix of touches (digital, event, human) that accelerates a prospect from "Engaged" to "Closed Won".
• Validate the output of our AI Agents (e.g., Account Matching, Email Personalization) to ensure automated decisions are accurate.
• Lead the transition from static reporting to dynamic, AI-driven insights by building and training AI agents to automate L1/L2 data questions.
• Build and maintain the semantic layer in Sigma/Snowflake that powers our "Ask Anything" capability, ensuring the AI understands our complex B2B business logic (Buying Stages, 6QA, Deal DNA).
• Apply your deep understanding of business logic to train the "Ask Anything" AI Agent so it effectively thinks like a strategist.
• Design "agents, data structures and functionality" that not only answer questions but suggest the next logical question to the user.
• Serve as the primary data consultant for the Revenue Marketing leadership team.
• Translate complex data sets into clear, executive-ready narratives, presenting initial points of view to tee up solutions for strategy validation.
• Mentor junior team members and educate the broader marketing org on data literacy and self-serve tools.
• Own the end-of-quarter MBO target attainment reporting for the Revenue Marketing team (excluding SDRs).
• Partner closely with Strategy & Analytics (who set the targets), Revenue Marketing Leadership, and the FP&A team to validate performance data and ensure accurate, data-backed alignment on bonus payouts.

Requirements

• Experience: 7+ years in Marketing Analytics, BizOps, or Data Science within B2B SaaS.
• The “Senior Strategic Partner" Factor: Proven ability to influence executive decisions through data. You don't just supply data; you change minds by exercising "Business Judgment," not just "Data Retrieval".
• Technical Stack: Expert-level SQL, deep knowledge of Agent Development, Snowflake / Sigma or similar. Deep proficiency with modern cloud data warehouses (Snowflake) and BI tools (Sigma is a strong plus).
• Business Acumen: Deep understanding of B2B Marketing and Pipeline funnels (MQL to Closed Won), Attribution models (Multi Touch is a plus), and ABM metrics (6Sense/Demandbase).
• Data Science (nice to have): Basic experience and knowledge in building ML based models that can feed context to our agents.
• AI Curiosity: Experience or strong interest in configuring AI-driven analytics tools, LLMs for data analysis, or semantic data modeling.
• The "Detective" Mindset: You are uncomfortable when the numbers don't make sense and won't stop digging until you find the root cause.

Preferred

• MS degree in Computer Science, Data Science or related field
• Experience with algorithms and optimization
• Experience working in B2B marketing analytics (especially in cybersecurity)

Benefits

• At Abnormal AI, certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits.