Senior Director, Marketing Intelligence & Decision Science

San Mateo, CA (On-site)

$255K/yr – $315K/yrSenior Level12+ years expFull time

Posted 6 weeks ago

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Job Summary

Own the strategic measurement framework for marketing performance and turn complex data into executive actions while advancing AI enabled insights across CRM, MAP, BI, and CDP ecosystems.

  • Own the measurement framework for pipeline, bookings, funnel, efficiency, and revenue contribution.
  • Lead executive reporting across WBRs and QBRs to surface risks, opportunities, and actionable bets.
  • Advance AI and ML driven marketing intelligence, forecasting, segmentation, and experimentation at scale.

Job Description

Responsibilities - Own the strategic measurement framework for Marketing performance across pipeline, bookings, funnel conversion, efficiency, and revenue contribution - Lead executive-level business performance reporting, insights, and storytelling across WBRs, QBRs, forecasting reviews, and strategic planning cycles - Translate complex performance trends into clear business narratives, risks, opportunities, and actionable recommendations - Establish proactive performance monitoring and early warning systems to identify emerging trends and business risks - Drive standardization and governance of KPIs, definitions, measurement methodologies, and reporting consistency across GTM - Build and scale advanced analytics and decision science capabilities including predictive modeling, forecasting, segmentation, attribution, propensity scoring, experimentation, and scenario planning - Partner with Marketing and GTM leadership to improve investment allocation, funnel optimization, and performance predictability - Advance AI and machine learning applications across marketing intelligence, measurement, targeting, and operational decision support - Establish scalable experimentation and measurement frameworks to improve business decision-making and performance optimization - Drive adoption of data science and AI capabilities in practical, business-oriented ways Requirements - 12+ years of experience across Marketing Analytics, Revenue Intelligence, Decision Science, GTM Strategy, Business Intelligence, or related disciplines within complex B2B SaaS or enterprise technology environments - Proven experience leading and modernizing high-performing analytics, intelligence, or performance measurement organizations - Strong experience building scalable measurement frameworks, forecasting models, attribution methodologies, experimentation programs, and executive performance reporting - Demonstrated ability to translate complex business and performance data into clear executive insights, recommendations, and action plans - Strong understanding of modern GTM and marketing data ecosystems including CRM, MAP, BI, CDP, data warehouse, and AI platforms - Experience partnering closely with Marketing, Sales, Finance, RevOps, IT, and Data Engineering teams to establish trusted data foundations and scalable intelligence infrastructure - Familiarity with advanced analytics, predictive modeling, segmentation, funnel optimization, and AI-enabled workflows and automation - Strong systems-thinking mindset with the ability to connect strategy, operations, data, technology, and business outcomes - Builder mentality with comfort operating in ambiguity, rolling up sleeves when needed, and leading teams through change - Exceptional executive communication and storytelling skills with the ability to influence senior stakeholders and represent business performance at the executive level
Freshworks logo

Freshworks

Freshworks Inc. (NASDAQ: FRSH) builds uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive.Over 74,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency.

Traffic Signals

Monthly Visitors
1.5M
Monthly Google Ads Budget
$2.1M
Traffic Source Mix
Search
35.1%
Direct
46.4%
Referral
16.5%
Social
0.8%
Paid
1.2%

Headcount Trend

Current headcount: ~9.6K

Marketing Team

Marketing Team Size
420 (4% of company)
Median Career Experience
14 years
Median Tenure
2.6 years
Marketing Roles Posted (Last 30 Days)
6

Funding

Total Funding
$484M
Last Raise
$85M
Secondary Market, 6 years ago

Funding History

  • Jan 2020
    Secondary Market • $85M
  • Nov 2019
    Series H • $150M
  • Jul 2018
    Series G • $100M

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