Measurement [Marketing Science] Lead

Prophet is an award-winning Australian SaaS platform that helps marketing and commercial leaders understand what's actually driving their business. Our marketing mix modelling and decision science platform is used by some of the most recognisable brands in the region, giving them the rigour and confidence to make better investment decisions.

We were recognised as the AFR Most Innovative Company for Media & Marketing in 2025, and we're scaling fast: 45+ enterprise customers and growing.

About the role

The Measurement Lead is accountable for whether Prophet's Enterprise customers [across APAC..] trust their measurement, act on it, and grow with us. You will own our most strategic accounts end to end and lead the measurement practice that serves them.

As we scale our Marketing Science team, our largest customers need a senior leader who can sit with a CMO and CFO, challenge media plans, design a geo lift test, and coach a team to do the same.

This is a player-coach role. You will carry a portfolio of Enterprise accounts while setting the standards, playbooks and operating rhythm the wider Customer Success team works to.

What you'll own

Enterprise account leadership

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 an annual or periodic measurement plans with each account, then run quarterly business reviews against it.

Partner with Sales and Account Management on renewals and expansion, bringing the measurement case for value.

Insight and decision advisory

Turn model outputs into actionable insights and clear budget recommendations: 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 our agency and partner platforms to drive improved decision making

Help customers reconcile MMM with reporting systems and finance numbers, so one story reaches the boardroom.

Measurement strategy and experimentation

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, closing the loop between testing and MMM.

Prioritise the questions that will move the most budget, not the ones that are easiest to test.

Model quality and governance

Work with Decision Science to set and uphold model review standards for Enterprise accounts.

Final sign off and accountability for model validation and QA processes (eg: New releases, model refreshes) before they reach customers, and explain material changes in plain language.

Spot data, specification and interpretation risks early, and drive them to resolution with Data Engineering and Decision Science.

Lead and build the measurement practice

Coach and develop Measurement Partners, reviewing their work and raising the bar on insight quality and client craft.

Write the playbooks: QBR format, insight narrative standards, experiment design templates, account health reviews.

Contribute to hiring and shape how the Customer Success function scales as the customer base grows.

Customer lifecycle and continuity

Partner with Onboarding so Enterprise customers move from implementation to live operation without loss of momentum or quality.

Track account health and adoption, flag risk early, and lead the recovery plan when an account is at risk.

Keep an eye out for opportunities to grow an account or strengthen its health, such as new markets, brands or use cases, and share them with the relevant teams internally.

Voice of the customer in product

Listen for the product signal in every customer conversation: feature requests, workarounds, unanswered questions and points of friction.

Capture each request in a consistent, structured way: the problem behind it, the decision it blocks, which customers raised it, and the revenue at stake.

Spot patterns across accounts and separate what one customer wants from what the wider market needs.

Bring a prioritised view of customer needs to the Product team on a regular cadence, backed by evidence rather than anecdote.

Advocate for customers in roadmap discussions, then close the loop with them on what is coming, what is not, and why.

Work with Product and Engineering to shape, test and roll out new features, including bringing customers into beta programs.

You'll thrive in this role if you...

Are trusted in the room by CMOs and CFOs, and can explain a posterior distribution to an engineer and a budget shift to a board.

Turn messy data and competing stakeholder views into a clear recommendation people act on.

Care as much about the decision a customer makes as the model behind it.

Like building the way a team works, not just doing the work yourself.

Are energised by the pace and ambiguity of a fast scaling and global business.

Ideal experience required

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 our markets (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.

Nice to have

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.

Our interview process

We want you to get a clear sense of Prophet, the opportunity and the people you’ll work with. Our process has four stages:

Initial conversation with Bec (Head of Talent & People) — Discuss your experience, career ambitions and what interests you about the role.

First interview with Rachel Scott (Head of Marketing Science) — Explore your commercial track record, approach with enterprise customers, measurement expertise and experience building and growing a team of top performers.

Presentation with Hamish Mogan (VP of Marketing Science & COO)

Final interview Jordan Taylor-Bartels (Founder & CEO) — Share your thinking on a focused commercial brief, followed by questions and discussion.

Why Join Prophet

Market Impact: Be part of an ambitious team defining a new category of marketing decision tech, and help open an entire region.

Innovation Leadership: Work alongside experienced platform, data, and decision science professionals.

Real Impact: This role has direct, visible impact on customer outcomes and company growth.

Ground-Floor Regional Opportunity: Shape Prophet's presence in APAC from day one.

Growth Trajectory: Scale your impact as Prophet expands globally.

Prophet is a world-first predictive intelligence platform revolutionising how businesses understand and optimise their entire marketing and commercial ecosystem. Built as the antithesis to traditional Market and Media Mix Modelli