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Senior Engineering Manager - Agentic Process & Self-Service
Sydney, New South Wales, Australia · Hybrid
Senior+$1.5B raised
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$162k–$175k/yr
Full-time
postgraduate degree
Incentive programs, Unlimited PTO, Paid parental leave, Family support policies, 401k match, Learning and wellness stipend
Posted 12h ago
~40 hrs/week
Remote in United States
Responsibilities
You will own the foundational marketing machine learning models, including customer intent modeling and next-best-action frameworks. Additionally, you will lead marketing mix modeling and attribution efforts to drive strategic investment decisions across the organization.
Requirements
Candidates must have an advanced degree in a quantitative field and at least 5 years of experience in data science, with 3 years specifically in marketing. Proficiency in Python, SQL, and modern data stacks like Snowflake or Databricks is required.
Full job description
5+ years in Data Science with 3+ years applying it in a marketing context
Self-starter mentality with strong problem-solving and research skills; able to work independently to drive solutions
Remote-first opportunity for US-based employees with the option to work in-person out of our Manhattan office
Start your adventure with Zip
As a Marketing Scientist on our Data Science team, you'll own the models and frameworks that sit at the intersection of customer behavior, marketing and business strategy, and AI. Your work will directly shape how Zip acquires and retains customers, allocates budget, and deploys intelligent agents.The marketing science function at Zip is being built to be genuinely strategic, not a reporting layer. You'll have a direct line to how the business makes decisions about customers and investment, and real ownership over the models and frameworks that inform both.
Write your story with a career at Zip
You’ll be the primary owner and driver of Zip’s foundational marketing ML models, including:
Customer Intent Modeling
You’ll build predictive models that go beyond behavioral pattern recognition to surface the motivations driving customer decisions.
Determine the appropriate modeling approach, evaluate competing methodologies, and establish standards for model explainability, monitoring, and ongoing refinement.
Build models designed not just to predict what a customer will do next, but to understand why, so we can meet them at the right moment with something genuinely useful.
Next Best Action Framework
You’ll translate model outputs into concrete, prioritized recommendations that inform customer communications and product experiences.
Build the decisioning layer that turns predictive insights into actionable recommendations.
Enable meaningful impact across multiple parts of the organization by helping teams determine the right action for the right customer at the right time.
Marketing Mix Modeling and Attribution
You’ll own our Marketing Mix Modeling and multi touch attribution capabilities, giving the Customer organization a reliable, current view of what is actually driving acquisition.
Translate model outputs into credible investment recommendations that help us allocate budget and resources intelligently across paid, owned, and partner channels.
Build and maintain the models and methodologies that underpin our understanding of marketing effectiveness and acquisition performance.
Technical Leadership and Business Partnership
You’ll provide technical guidance and peer review to other data scientists and analysts, share reusable methods, and help raise the quality of marketing science practices across the team.
You’ll also serve as the primary conduit between your work and business stakeholders, translating complex modeling and insights into clear, actionable recommendations. This is a role where ownership, independence, and strong communication skills are key.
What you’ll bring to the team
Advanced degree in a quantitative field (e.g., Mathematics, Physics, Social Science)
5+ years of experience in Data Science
3+ years of experience applying Data Science to marketing
Hands-on experience with Marketing Mix Modeling and/or multi-touch attribution in a commercial setting
Ability to bridge technical depth and business communication, your stakeholders include both engineers and marketing leaders, and you write and speak to both
Self-starter mentality with strong problem-solving and research skills; able to work independently to drive solutions
High proficiency in Python and SQL
Experience with ML/AI frameworks (e.g., XGBoost, LightGBM, Scikit-Learn, Pytorch) and proven track record of leveraging them for business impact
Hands-on experience with Spark/PySpark a plus
Proficiency with modern data stacks (e.g., Snowflake, Databricks, dbt)
Experience designing or contributing to next-best-action or decisioning systems
Background in consumer fintech or BNPL
Experience with LLMs and agentic workflows
What you’ll get in return
Zip is a place where you’ll get out what you put in. The newness of our sector means we need to move at pace and embrace change, and our promise to you when you join the team is that you’ll feel empowered and trusted to make big things happen quickly.
We want you to feel welcome and as though you have the support to be yourself, and care for yourself at work. Because it’s important to us that you make the most of the opportunities you’ll get to grow your skills and your career, and be surrounded by smart, friendly people and leaders that have your back.
We think these are just some of the best things about being a Zipster. We will also offer you:
Flexible working culture
Incentive programs
Unlimited PTO
Generous paid parental leave
Leading family support policies
Company-sponsored 401k match
Learning and wellness subscription stipend
Beautiful Union Square office with a casual dress code
Industry-leading, employer-sponsored insurance for you and your dependents, with several 100% Zip-covered choices available
Zip is committed to a straightforward and transparent pay structure. The actual base salary will be determined by various individualized factors, including job-related knowledge, skills, experience, location, internal equity, as well as other objective business considerations. The annual base Pay Range for this position is $162,000 - $175,000. This range reflects our US national compensation band (USN). Additional premium percentages may apply based on our tiered premium strategy. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or commission awards, in addition to a full range of medical, financial, and/or other benefits.
*Please note that visa sponsorship is not available for this position.
If hired, employees will be in an 'at-will position' and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Be a part of a team that reflects the diversity of our customers
We pride ourselves on being a workplace that provides equal opportunities to people of all ages, cultural backgrounds, sexual orientations, gender identities, abilities, veteran status, and everything else that makes you unique. Equally, we’re committed to ensuring our recruitment processes are accessible and inclusive. Please let us know If there are any adjustments that need to be made to ensure you have a fair and equitable experience.
And finally…get to know us
Zip Co Limited (ASX: ZIP) is a digital financial services company, offering innovative, people-centered products.
Operating in two core markets - Australia and New Zealand (ANZ) and the US, Zip offers access to point-of-sale credit and digital payment services, connecting millions of customers with its global network of tens of thousands of merchants. We’re proud to be a values-led business and our values - Customer First, Own it, Stronger Together and Change the Game - guide us in everything we do. I acknowledge by clicking "Submit Application", that the information provided is true and correct. I also understand that any willful dishonesty may render for refusal of this application or immediate termination of employment. By providing your information, you acknowledge that you have read our Zip Applicant and Candidate Privacy Notice and authorize Zip to process your data subject to those terms. Zip participates in the federal government’s E-Verify program. #LI-Remote
Related keywords
Data ScienceMarketingMachine LearningAICustomer Intent ModelingNext Best ActionMarketing Mix ModelingAttributionPythonSQLXGBoostLightGBMScikit-LearnPytorchSparkPySpark
Zip Co Limited (ASX: ZIP) is a digital financial services company, offering innovative, people-centred products that bring customers and merchants together.
Operating in two core markets - Australia and New Zealand (ANZ) and the US, Zip offers access to point-of-sale credit and digital payment services, connecting millions of customers with its global network of tens of thousands of merchants.
We’re proud to be a values-led business and our values - Customer First, Own it, Stronger Together and Change the Game - guide us in everything we do.
Offices: Sydney, AU · Melbourne, AU · Auckland, NZ · New York, US · Christchurch, NZ
fintechpaymentsdigital retail financefinance productspoint-of-saletransparencyfairnessbig dataand Buy NowPay Later
Zip Co Limited (ASX: ZIP) is a digital financial services company, offering innovative, people-centred products that bring customers and merchants together.
Operating in two core markets - Australia and New Zealand (ANZ) and the US, Zip offers access to point-of-sale credit and digital payment services, connecting millions of customers with its global network of tens of thousands of merchants.
We’re proud to be a values-led business and our values - Customer First, Own it, Stronger Together and Change the Game - guide us in everything we do.
Offices: Sydney, AU · Melbourne, AU · Auckland, NZ · New York, US · Christchurch, NZ
fintechpaymentsdigital retail financefinance productspoint-of-saletransparencyfairnessbig dataand Buy NowPay Later