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Prophet Tech

Predictive analytics platform for marketing optimization

Measurement – Marketing Science Lead

Customer SuccessConfirmed live in the last 24 hours
Full-timeSydney NSW, AustraliaNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of experience in marketing science, econometrics, decision science, or measurement on the agency, brand, consultancy, or platform side.
  • A track record of owning senior client relationships at large brands, including renewals or expansion.
  • Hands-on experience with marketing mix modeling, ideally Bayesian, using tools such as PyMC-Marketing, Stan, Meridian, or Robyn.
  • Deep working knowledge of incrementality testing, including geo lift, synthetic control, conversion and search lift, A/B testing, and power analysis.
  • Experience calibrating or validating marketing mix models with experiment results.
  • Knowledge of media landscapes across ANZ, Southeast Asia, and North America and key verticals such as retail, quick-service restaurants, telecommunications, and financial services.
  • Experience leading, coaching, or reviewing the work of other analysts or consultants.
  • Comfort with SQL and Python or R, sufficient to interrogate data and models.

Responsibilities

  • Own a portfolio of Prophet's largest enterprise customers as their senior measurement advisor and point of escalation.
  • Build executive-level relationships with CMOs, Marketing Directors, Heads of Growth, CFOs, and Finance, as well as day-to-day marketing and analytics teams.
  • Agree annual or periodic measurement plans with each account and run quarterly business reviews against them.
  • Partner with Sales and Account Management on renewals and expansion, providing the measurement case for value.
  • Turn model outputs into actionable insights and clear budget recommendations, including channel return on investment, saturation, carryover, and scenario plans.
  • Lead customers through planning cycles using Prophet's optimization and scenario tools to shape budget decisions.
  • Present independently to executive teams and boards, and work with agency and partner platforms to improve decision-making.
  • Help customers reconcile marketing mix modeling with reporting systems and finance numbers so one story reaches the boardroom.
  • Design a test-and-learn roadmap for each enterprise account using the Prophet Experimentation Framework.
  • Scope and oversee geo lift, incrementality, search lift, and A/B tests, including power analysis, market selection, and readouts.
  • Use experiment results to calibrate and validate models, connecting testing and marketing mix modeling.
  • Prioritize measurement questions based on potential budget impact.
  • Work with Decision Science to set and uphold model review standards for enterprise accounts.
  • Provide final sign-off and accountability for model validation and quality assurance processes, including new releases and model refreshes, before they reach customers, and explain material changes in plain language.
  • Identify data, specification, and interpretation risks early and drive their resolution with Data Engineering and Decision Science.
  • Coach and develop Measurement Partners, review their work, and raise the standard of insight quality and client craft.
  • Write playbooks for quarterly business reviews, insight narrative standards, experiment design templates, and account health reviews.
  • Contribute to hiring and shape how the Customer Success function scales as the customer base grows.
  • Partner with Onboarding so enterprise customers move from implementation to live operation without loss of momentum or quality.
  • Track account health and adoption, flag risks early, and lead recovery plans when accounts are at risk.
  • Identify opportunities to grow accounts or strengthen account health, such as new markets, brands, or use cases, and share them with the relevant internal teams.
  • Identify product feedback in customer conversations, including feature requests, workarounds, unanswered questions, and points of friction.
  • Capture each product request consistently, including the underlying problem, the decision it blocks, which customers raised it, and the revenue at stake.
  • Identify patterns across accounts and distinguish individual customer requests from broader market needs.
  • Bring a prioritized, evidence-backed view of customer needs to the Product team regularly.
  • Advocate for customers in roadmap discussions and follow up with them about what is coming, what is not, and why.
  • Work with Product and Engineering to shape, test, and roll out new features, including involving customers in beta programs.

Desired Qualifications

  • Experience building or scaling a Customer Success, analytics, or consulting practice.
  • Familiarity with cloud data platforms such as Snowflake, BigQuery, or Databricks.
  • Experience turning customer feedback into clear product requirements and influencing a roadmap alongside Product teams.

About the Company

Prophet Tech

Predictive analytics platform for marketing optimization

Prophet Tech provides a predictive analytics platform for marketing, using Markov chain models to forecast consumer behavior and optimize advertising efforts. The product connects millions of data relationships to generate real-time, context-rich predictions about marketing performance, enabling users to model historical data, run custom scenarios, and export actionable media plans. The service is subscription-based and may include consulting to help clients maximize platform capabilities. Prophet Tech differentiates itself by applying Nobel Prize–winning mathematics to marketing problems and offering detailed, scenario-based predictions that guide media spending and creative decisions for brands, networks, agencies, and consultants. The company's goal is to help marketers improve performance and drive consumer purchases more efficiently by turning complex data into clear, usable guidance.

Company size
11-50
Company stage
Seed
Total funding
$3M
Headquarters
Melbourne VIC, Australia
Founded
2019

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