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About the Role
This role owns the signal, audience, and data layer of a closed-loop growth system. You will architect the framework, run experiments, prove impact, and scale wins into production infrastructure. This is a product leadership role defining the future of performance marketing at HelloFresh.
Responsibilities
- Define and evolve the company’s north star signal framework by capturing, transforming, and activating high-quality intent signals.
- Shift from lagging conversions to leading indicators while driving experimentation to improve platform learning and bidding efficiency.
- Build and scale a first-party audience intelligence system, including advanced segmentation, automated audience creation, governance models, and real-time syncing infrastructure.
- Enhance targeting precision and operational efficiency.
- Own end-to-end signal integration strategies across major ad platforms, defining event hierarchies, optimizing signal quality and compliance.
- Shape how algorithms interpret and act on company data.
- Develop and manage a continuous Signal → Model → Decision → Feedback loop.
- Ensure alignment between internal measurement and platform signals.
- Enable real-time optimization, model retraining, and incrementality validation.
- Act as the accountable owner across Product, Data Science, Engineering, and Marketing.
- Influence senior stakeholders and drive a test-and-learn approach that prioritizes evidence-backed innovation before scaling solutions.
Requirements
- 6–8+ years in Product Management, with meaningful experience in Ad-Tech, Growth, or ML-driven systems.
- Proven track record of owning 0→1 and 1→N platforms — not just features — with clear before-and-after business impact.
- Strong product intuition paired with analytical rigor.
- AI-native by default LLMs, AI coding assistants (Cursor, Copilot, or equivalent), and automation are part of your daily workflow.
- Hands-on experience with conversion tracking, signal transmission, and attribution.
- Personally configured a CAPI integration, designed an event deduplication scheme, and engineered a signal hierarchy.
- Audience management depth: custom audience creation and syndication, lookalike seed design, lifecycle segmentation, first-party CRM-to-platform matching pipelines, and identity resolution.
- Privacy and compliance fluency: GDPR, CCPA, iOS signal loss, and their practical implications for signal coverage, audience eligibility, and match rates.
- Experience working with ML and Data Science teams on model-driven products.
- Can co-own model design, review feature engineering, and challenge modelling decisions with informed questions.
Skills
- Ad-Tech
- Growth
- ML-driven systems
- Product Management
- AI coding assistants
- Conversion tracking
- Signal transmission
- Attribution
- CAPI integration
- Event deduplication
- Signal hierarchy
- Audience management
- Custom audience creation
- Audience syndication
- Lookalike seed design
- Lifecycle segmentation
- CRM-to-platform matching pipelines
- Identity resolution
- GDPR
- CCPA
- iOS signal loss
- ML
- Data Science
- Model design
- Feature engineering
Location
- New York
- Colorado
Work Type
- Full-time
Experience Level
- 6-8+ years
Salary/Compensations
- $200,000—$224,000 USD (New York)
- $192,000—$224,000 USD (Colorado)
Benefits
- Competitive hourly rate
- 401K company match that vests immediately upon participation
- Team bonus opportunities
- Generous PTO
- Flexible attendance policy
- Comprehensive health and wellness benefits with options at $0 monthly, effective first day of employment
- Up to 85% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, and Factor_)
- Access to Employee Resource Groups that are open to all employees, including those pertaining to BIPOC, women, veterans, parents, and LGBTQ+
- Inclusive, collaborative, and dynamic work environment within a fast-paced, mission-driven company that is disrupting the traditional food supply chain
About the Company
- HelloFresh is disrupting the traditional food supply chain.