Staff Product Manager, Audience + Signal Optimization Platform
About The Position
Audience management and signal optimization is the fuel that powers every paid social dollar HelloFresh spends. What events we capture, how we transform and model them, which audiences we activate, and what we tell Meta, TikTok, and Google to optimize for. These decisions are worth tens of millions of dollars annually and sit without a unifying framework today. We are building a closed-loop growth system: signals feed models, models inform targeting and bidding, outcomes retrain models. This role owns the signal, audience, and data layer of that system end-to-end. You will architect the framework, run the experiments, prove the impact, and then scale the wins into production infrastructure that runs globally. This is not a coordination role. We are looking for a product leader who defines the future of performance marketing at HelloFresh and builds the systems to make it real.
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: you can hold a strategic vision and a data model in your head simultaneously and know when to trust each.
- AI-native by default LLMs, AI coding assistants (Cursor, Copilot, or equivalent), and automation are part of your daily workflow, not aspirational tools.
- Hands-on experience with conversion tracking, signal transmission, and attribution: you have 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: you can co-own model design, review feature engineering, and challenge modelling decisions with informed questions.
Responsibilities
- Define and evolve the company’s north star signal framework by capturing, transforming, and activating high-quality intent signals, shifting 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 to 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, and shaping how algorithms interpret and act on company data.
- Develop and manage a continuous Signal → Model → Decision → Feedback loop, ensuring alignment between internal measurement and platform signals while enabling real-time optimization, model retraining, and incrementality validation.
- Act as the accountable owner across Product, Data Science, Engineering, and Marketing, influencing senior stakeholders and driving a test-and-learn approach that prioritizes evidence-backed innovation before scaling solutions.
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
