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About the Role

The Measurement Lead will own Prophet's most strategic enterprise accounts end-to-end, leading the measurement practice to ensure customers trust and act on measurement insights, driving growth. This player-coach role involves managing a portfolio of accounts while setting standards and playbooks for the wider Customer Success team.

Responsibilities

Own a portfolio of Prophet's largest Enterprise customers as their senior measurement advisor and point of escalation.
Build relationships at executive level (CMO, Marketing Director, Head of Growth, CFO and Finance) as well as with 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, presenting the measurement case for value.
Turn model outputs into actionable insights and clear budget recommendations, including channel ROI, saturation, carryover, and scenario plans.
Lead customers through planning cycles, using Prophet's optimisation and scenario tools to shape real budget decisions.
Present independently to executive teams and boards, and work with agency and partner platforms to drive improved decision making.
Help customers reconcile MMM with reporting systems and finance numbers for a unified boardroom narrative.
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 with MMM.
Prioritize questions that will move the most budget, not just those easiest to test.
Work with Decision Science to set and uphold model review standards for Enterprise accounts.
Provide final sign off and accountability for model validation and QA processes before they reach customers, explaining material changes clearly.
Identify data, specification, and interpretation risks early, and drive them to resolution with Data Engineering and Decision Science.
Coach and develop Measurement Partners, reviewing their work and improving insight quality and client craft.
Develop playbooks for QBR format, insight narrative standards, experiment design templates, and account health reviews.
Contribute to hiring and shape the scaling of the Customer Success function.
Partner with Onboarding to ensure a smooth transition for Enterprise customers.
Track account health and adoption, flag risks early, and lead recovery plans.
Identify opportunities for account growth or strengthening, such as new markets, brands, or use cases.
Listen for product signals in customer conversations, capturing feature requests, workarounds, and friction points.
Spot patterns across accounts and differentiate individual needs from broader market requirements.
Present a prioritized view of customer needs to the Product team, backed by evidence.
Advocate for customers in roadmap discussions and communicate outcomes to them.
Collaborate with Product and Engineering to shape, test, and roll out new features, including customer beta programs.

Requirements

8+ years 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 MMM, ideally Bayesian (for example PyMC-Marketing, Stan, Meridian or Robyn).
Deep working knowledge of incrementality testing: geo lift, synthetic control, conversion and search lift, A/B testing, and power analysis.
Experience calibrating or validating MMM with experiment results.
Knowledge of media landscapes across ANZ, Southeast Asia and North America and key verticals such as retail, QSR, telco and financial services.
Experience leading, coaching or reviewing the work of other analysts or consultants.
Comfort with SQL and Python or R, enough to interrogate data and models yourself.
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.

Skills

Marketing Mix Modelling (MMM)
Bayesian modelling
Incrementality testing
Geo lift testing
Synthetic control
Conversion lift testing
Search lift testing
A/B testing
Power analysis
Model calibration
Model validation
SQL
Python
R
Customer Success
Analytics
Consulting
Cloud data platforms (Snowflake, BigQuery, Databricks)
Product requirements
Roadmap influence

Location

APAC
Singapore

Work Type

Full-time

Experience Level

Senior
8+ years

About the Company

Prophet is an award-winning Australian SaaS platform that helps marketing and commercial leaders understand business drivers.
Our marketing mix modelling and decision science platform is used by recognizable brands in the region.
Recognized as AFR Most Innovative Company for Media & Marketing in 2025.
Prophet is a world-first predictive intelligence platform revolutionizing how businesses understand and optimize their entire marketing and commercial ecosystem.
Built as the antithesis to traditional Market and Media Mix Modelling (MMM), Prophet delivers unprecedented speed, clarity, and precision.
Prophet enables brands to measure, forecast, and simulate the impact of every investment across every channel, online and offline.
Powered by world-leading mathematics and AI, Prophet builds a digital clone of an organization's ecosystem, ingesting organizational, media, macroeconomic, and behavioral data.
Prophet identifies true performance drivers and guides strategy in real time.
We work with progressive enterprise brands helping them reduce inefficiencies, improve media ROI, and make confident decisions.
Prophet emerged from four years of intensive stealth development, grounded in statistical rigor.
Founded by a team with experience from SpaceX, Deloitte, Meta, WPP and NAB.
Backed by leading investors and scaling fast, redefining marketing and commercial intelligence.