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Marketing Science Partner

Remote / Online - Candidates ideally in
New York, New York County, New York, 10261, USA
Listing for: Mutinex
Remote/Work from Home position
Listed on 2026-04-23
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: New York

We're an early-stage AI-based Marketing Mix Modelling (MMM) startup with a proven platform, Fortune 500 clients, millions in revenue and growing fast. We're not chasing unicorn status; we're building a sustainable, long-lasting business that will redefine how brands make marketing decisions. Mutinex helps marketers understand their ROI and make smarter decisions to grow their businesses.

We're a hybrid team based in Sydney, Melbourne, and New York. We value communication, open-mindedness, and a culture of feedback. All staff receive equity (ESOP), and we offer increasing annual leave based on tenure.

About you

You’re ambitious, driven and team-oriented. You’ve worked in marketing effectiveness, analytics or measurement for a good stint of your career, and you’ll have experience with MMM either in tech, consulting, publishing, agency or even customer-side. You want to be at the forefront of leveraging AI and agentic processes to change the way we work.

What you’ll do

As a Marketing Science Partner at Mutinex you’re ensuring that our clients get the most value from our Growth

OS & MAITE (LLM insights) marketing investment analytics platform. As an expert in marketing effectiveness and marketing analytics, you’ll help diverse client and agency stakeholder communities best use the Growth

OS platform, and most importantly, help them make fast informed marketing investment decisions and predictions. Here’s a little more about

What you’ll do:

  • Help customers understand our Growth

    OS platform from onboarding and beyond
  • Evolve the platform adoption process through one-to-one engagement via training, materials and automation
  • Develop and deliver sector and market analysis and thought leadership using the power of Growth

    OS data and insight
  • Work with the Model Scale team to solve more complex customer problems
  • Conduct and lead platform learning and support, whilst improving these processes through automation
  • Support product development and innovation
  • Take accountability for client satisfaction and lifetime value
  • Create feedback loops and formulate requirements for our internal product, data & tech teams with the opportunity to develop industry-first products
  • Have autonomy to deliver on KPIs and OKRs
  • Participate in career and professional development opportunities and training

Why Work With Us?

  • Real Client Impact:
    Your work directly shapes our platform and the success of our customers
  • Challenging, Meaningful Work:
    Tackle complex data and infrastructure problems at scale
  • Autonomy and Ownership:
    Drive initiatives end-to-end with support when you need it
  • Learning and Growth:
    Collaborate with a thoughtful team of engineers and data scientists who love what they do
  • Training and Experience with the Latest Technology:
    We’re an AI first company that is redefining how technology can improve our ways of working
  • Equity Ownership:
    All team members receive equity (ESOP)
  • Parental Leave: 12 weeks paid leave for the primary carer, and 6 weeks for the secondary carer after 2 years
  • Generous Time Off: 20 days of annual leave to start, plus 5 extra days after your first year, and 1 additional day each year after that (up to 30)
  • Work from Anywhere:
    Take your laptop and work from anywhere in the world for up to 6 weeks each year

We’re Committed to Inclusion

Mutinex is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants of all backgrounds, experiences, identities, and abilities.

If you need adjustments or accommodations during the application process, just let us know, we’re happy to support you.

Ready to Join Us?

If this sounds like a place where you’d thrive, we’d love to hear from you. Send us your resume and a short note about why this role excites you—we care more about what drives you than perfect formatting.

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