Responsibilities

• Next-Gen Attribution & MMM: Own and evolve the architectural vision for Remote’s attribution logic. Merge multi-touch attribution (MTA) with Media Mix Modeling (MMM) to build a unified view of both performance marketing and organic Top-of-the-Funnel (TOFU) streams.
• Predictive LTV & Budget Optimization: Architect and maintain advanced Customer Lifetime Value (LTV) and predictive churn models. Direct how these high-quality predictive signals are fed back into ad platforms and algorithmic bidding engines to maximize efficiency.
• Executive Planning & Capital Allocation: Partner directly with finance and marketing leadership to drive annual and quarterly planning. Own the macroeconomic forecasting models that dictate global budget allocation and ROI expectations.
• Brand & Organic Quantification: Establish the global standard for measuring non-paid marketing initiatives. Build robust, defensible frameworks for Share of Voice, brand sentiment, and organic compounding to justify long-term brand investments.
• Macro-Funnel Optimization: Analyze the end-to-end B2B funnel—from dark social and initial awareness to closed-won enterprise revenue—identifying systemic friction points and multi-million dollar white-space opportunities.
• Data Strategy & Guardianship: Act as the ultimate authority on marketing data integrity. Partner with Data Engineering and RevOps to design the upstream data infrastructure, ensuring information flowing through HubSpot, Salesforce, and Snowflake remains an unassailable "single source of truth."
• Organizational Multiplier & Mentorship: While this role has no initial direct reports, you will serve as the technical and strategic lead for the analytics org. You will mentor senior analysts, elevate the team's technical bar, and foster a culture of analytical excellence.
• AI & Automation Pioneering: Standardize the deployment of AI, machine learning, and advanced automation within the marketing analytics stack to accelerate insight generation and eliminate manual reporting overhead.
• Practicals - You'll report to: Director, Marketing Analytics - Team: Marketing - Team size: Individual Contributor role with massive cross-functional influence (No direct reports) - Location : For this position, we welcome everyone to apply, but we will prioritize applications from locations that align with our current regional team diversification strategies. - Start date: As soon as possible

Requirements

• Professional Experience: Distinguished track record in marketing analytics, business intelligence, or data science, with extensive experience specifically embedded in high-growth B2B SaaS or enterprise environments.
• Architect-Level Attribution: Mastery in designing, scaling, and defending complex attribution frameworks (Multi-Touch, Media Mix Modeling, and Unified Measurement) across complex, non-linear enterprise buyer journeys.
• Macro-Funnel Vision: Deep expertise in quantifying abstract, non-paid focus areas; a proven history of designing measurement frameworks for global brand health, organic ecosystems, Share of Voice (SoV), and long-tail market expansion.
• Advanced Technical Mastery: Expert-level proficiency across the modern data stack. You are comfortable writing production-grade code, architecting data models in dbt , optimizing complex Snowflake environments, and leveraging AI/automation to scale analytical workflows.
• Ecosystem Governance: Deep familiarity navigating and integrating enterprise CRMs and automation systems (Salesforce, HubSpot) with advanced BI ecosystems (Sigma, Tableau, Looker).
• Executive Gravitas & Communication: Exceptional ability to command a room of C-suite executives, transforming dense, highly technical data structures into high-impact strategic narratives that drive organizational change.
• Language: Professional fluency in written and spoken English.
• Remote-First Mindset: While experience working remotely isn't required, a strong knack for asynchronous communication, high autonomy, and self-driven documentation is highly valued.

Benefits

• work from anywhere
• flexible paid time off
• flexible working hours (we are async )
• 16 weeks paid parental leave
• budget towards co-working spaces, learning and wellness (including gym memberships)
• mental health support services
• stock options
• home office budget & IT equipment