Senior Manager of Marketing Analytics, Optro

• 7+ years of experience in marketing analytics, marketing operations, or a closely related analytics function, including at least 2 years leading analysts, cross-functional projects, or both. B2B SaaS experience strongly preferred
• Deep, hands-on SQL skills — you can independently pull, join, and validate data without waiting on another team
• Demonstrated ownership of B2B funnel and attribution measurement. You have built or substantially rebuilt a multi-touch attribution or pipeline model and defended its methodology to skeptical stakeholders
• Hands-on experience applying machine learning or AI to a business problem — propensity or lead scoring, forecasting, segmentation, or automated insight generation — including a clear point of view on when a model is the right tool and when it is not
• Exposure to ABM platforms (6sense, Demandbase) or to media mix modeling and incrementality testing at scale
• Fluency with the modern marketing data stack: Salesforce, a marketing automation platform (Marketo, HubSpot, or similar), and a BI tool (Tableau, Looker, Power BI, or similar)
• Strong executive communication. You can compress a complex analysis into a single clear recommendation a CMO or CRO can act on
• A genuine partnership mindset. You work shoulder to shoulder with marketing ops, demand gen, sales ops, and finance rather than delivering reports over the wall

Desirable

• Marketing at Optro is scaling fast, and we need a leader who can turn our marketing data into decisions the business actually acts on
• As Senior Manager, Marketing Analytics, you will own the measurement layer for the entire marketing org — campaign and channel performance, attribution, funnel health, and pipeline forecasting — and be the person leaders turn to when they want to know what is working and where the next dollar should go
• You will partner directly with marketing and cross functional teams with the visibility and the mandate to shape how we invest behind a growth engine that has already carried us past $300M ARR
• Reports into Marketing Operations and supports the full marketing organization
• Own marketing performance measurement end to end — campaign, channel, and program reporting from first touch through closed-won revenue
• Build, maintain, and continuously improve the attribution and funnel models the marketing org uses to allocate budget, and clearly communicate their assumptions and limitations to stakeholders
• Bring AI into the marketing analytics stack — apply machine learning and LLM-based approaches to lead and account propensity scoring, pipeline forecasting, channel mix optimization, and automated anomaly detection across campaign performance
• Build AI-assisted insight generation so that routine "what changed and why" questions are answered automatically and surfaced to marketing leaders, rather than sitting in an analyst queue
• Evaluate, pilot, and scale AI capabilities in our marketing and analytics tooling, and make clear build versus-buy recommendations grounded in measured impact rather than hype
• Set the standard for responsible use of AI in marketing analytics — validating model outputs, documenting assumptions, monitoring for drift, and partnering with Security and Legal on data handling
• Partner with Demand Generation and Events teams to set targets, forecast pipeline contribution, and track performance against plan
• Design and maintain dashboards and self-serve reporting so marketing leaders can answer routine questions
• Act as the analytics owner of the marketing data stack — Salesforce, marketing automation, and downstream warehouse tables — partnering with Marketing Ops and Data Engineering on data quality and instrumentation
• Deliver executive-level analysis and readouts for QBRs, board materials, and annual planning — including budget scenarios and ROI cases for new investments
• Raise the analytical bar across marketing through mentorship, documentation, and clear standards for how analysis is built and presented