Own marketing performance measurement end to end, covering campaign, channel, and program reporting from first touch through closed-won revenue
Build, maintain, and improve attribution and funnel models used for budget allocation
Apply machine learning and LLM-based approaches to propensity scoring, pipeline forecasting, channel mix optimization, and anomaly detection
Build AI-assisted insight generation for automated “what changed and why” answers
Evaluate, pilot, and scale AI capabilities in marketing and analytics tooling
Make build-versus-buy recommendations based on measured impact
Set standards for responsible AI use, including output validation, assumption documentation, drift monitoring, and data-handling partnerships with Security and Legal
Partner with Demand Generation and Events teams on targets, pipeline forecasts, and performance tracking
Design and maintain dashboards and self-serve reporting
Own the marketing data stack, including Salesforce, marketing automation, and downstream warehouse tables
Partner with Marketing Operations and Data Engineering on data quality and instrumentation
Deliver executive-level analysis and readouts for QBRs, board materials, and annual planning
Develop budget scenarios and ROI cases for new investments
Raise analytical standards through mentorship, documentation, and clear analysis practices
Report into Marketing Operations and support the full marketing organization
Requirements
7+ years of experience in marketing analytics, marketing operations, or a closely related analytics function
At least 2 years leading analysts, cross-functional projects, or both
B2B SaaS experience strongly preferred
Deep, hands-on SQL skills
Demonstrated ownership of B2B funnel and attribution measurement
Experience building or substantially rebuilding a multi-touch attribution or pipeline model
Hands-on experience applying machine learning or AI to a business problem
Exposure to ABM platforms (6sense, Demandbase) or media mix modeling and incrementality testing at scale
Fluency with Salesforce, a marketing automation platform (Marketo, HubSpot, or similar), and a BI tool (Tableau, Looker, Power BI, or similar)
Strong executive communication
Partnership experience with marketing ops, demand gen, sales ops, and finance
Background checks are required
Nice to have: dbt, Python or R, and a cloud data warehouse (Snowflake, BigQuery, Redshift)
Nice to have: experience supporting an enterprise, multi-product go-to-market motion
Nice to have: experience building with LLM APIs or AI-assisted analytics tooling
Benefits
$200/mo (USD) for anything that enhances your life
Comprehensive employee health and life insurance coverage
Competitive compensation & bonus program
Statutory vacation + Flexible vacation
Time off for your birthday & volunteering
Employee resource groups
Opportunities for team and company-wide get-togethers
Opportunities to launch a career at a fast-growing SaaS company
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