✨ AI Insights & Summary
#paid, a leader in the creator economy, is seeking a Product Manager to spearhead its Data & ML organization, focusing on AI-native features and the innovative Forge AI creator agent. This pivotal role offers a unique opportunity to leverage data and machine learning to drive measurable outcomes for brands and creators, shaping a significant competitive advantage for the company. If you possess deep technical expertise in data/ML products, a strong product management background, and a passion for translating complex AI capabilities into user-centric value, this is your chance to influence the future of creator marketing and build impactful, AI-driven solutions.
Product Manager, Data & ML
About Us
At #paid, we empower creators to do what they love by connecting them with iconic brands through our marketplace. We solve critical challenges in the creator ecosystem, ensuring authentic collaborations and driving real business results. Our proprietary technology, commitment to trust, and #1 rated customer support lead the creator marketing space. We are transforming the future of the creator economy with innovative technology and an ambitious team.
The Role
You will lead the product strategy for #paid's Data & ML organization, owning how data, signals, and ML-powered features deliver measurable outcomes for brands and creators. Your responsibility includes translating complex technical capabilities into user-facing product value, partnering closely with engineering, analytics, and business stakeholders to build a competitive advantage through AI-native, insight-driven capabilities. This is a foundational investment in our predictable performance roadmap and the Forge AI creator agent.
Key Responsibilities
- Own the end-to-end product vision for the Data & ML squad, including the Forge AI creator agent and predictive performance infrastructure.
- Translate complex ML/data capabilities into user-facing product value for both brands and creators.
- Partner with Data Product Engineering leads to align data product strategy with OKRs and drive commercial outcomes (NDR, retention, contribution margin).
- Define the metrics layer: determine what we measure, how we surface insights, and connect metrics to business impact.
- Identify and prioritize ML-powered bets (e.g., creator-brand match quality, content performance prediction, churn signals) and drive them from conception to launch.
To Be Successful, You’ll Need
Technical & Data Expertise
- 6+ years of product management experience, with 2-3 years working directly with data, ML, or analytics products.
- Strong technical fluency, ideally with a prior engineering background.
- Hands-on experience writing or reviewing SQL; comfort with modern data warehouses (BigQuery, Snowflake, or similar).
- Demonstrated track record shipping ML-adjacent features end-to-end (recommendations, ranking, prediction, scoring systems).
- Working experience with LLMs or AI-native product workflows (prompting, agent design, RAG pipelines, etc.).
Product & Business Acumen
- Ability to translate model outputs and data insights into compelling product narratives for non-technical stakeholders.
- Proven experience owning roadmaps tied to commercial outcomes (NDR, churn reduction, ARPU growth).
- Familiarity with creator economy dynamics, marketplace mechanics, or two-sided platform product challenges is a strong plus.
- Experience building internal data tools and dashboards for ops and customer success teams.
Mindset & Collaboration
- Deeply curious, proactively exploring data for insights.
- Comfortable with ambiguity; ability to define problems.
- Ability to engage at multiple levels, from technical conversations with engineers to strategy presentations with leadership.
- Skill in building trust with engineering teams.
- High ownership mentality; thrives in lean, founder-adjacent environments.
About You
You view data and ML as the foundation of competitive advantage. You are equally adept with SQL queries and strategic discussions. You embrace ambiguity as an opportunity to shape product development. You build strong relationships with engineers and stakeholders by respecting expertise and contributing your own. You are driven by measurable impact, connecting possibility to user value and business outcomes, and you value learning from both successes and failures.
Compensation
- $185,000 - $190,000 a year (base salary)
- Additional compensation may include variable pay, stock options, and benefits, depending on the role and location.
- Total compensation will be discussed openly.
- Compensation is transparent, fair, and based on clearly defined job levels, seniority, expertise, scope, and performance expectations. The posted range represents the span between levels.
- Offers are made at the compensation set for the level a candidate is hired into, determined by experience, skills, and role alignment.
AI in Hiring
We may use AI tools to support parts of the hiring process, such as reviewing applications or analyzing resumes. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are made by humans. Please contact us for more information on data processing.