---
title: 'Senior Product Manager at #paid'
canonical: 'https://feeny.ai/job/senior-product-manager-paid-united-states-canada-fzmnw0b4mkte'
type: 'job'
last_seen: '2026-10-19'
---

# Senior Product Manager at #paid

- **Company:** #paid
- **Location:** United States / Canada
- **Compensation:** $180k–$190k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-13
- **Last confirmed live:** 2026-10-19
- **Apply:** https://jobs.lever.co/hashtagpaid/0159b0f3-0c99-4f4b-9d1d-fe28e894d345

## Job description

## About Us

At #paid, we’re on a mission to empower creators to do what they love—create. Our marketplace connects vetted creators with some of the world’s most iconic brands, like McDonald’s, Samsung, and Disney, fostering authentic collaborations that drive real business results. We’ve built a marketplace that solves big challenges in the creator ecosystem, from fair pricing to algorithmic matching and content usage rights, ensuring every partnership is seamless and impactful.

With our proprietary technology and an unwavering commitment to trust and transparency, we’re revolutionizing the way brands and creators come together to make magic. Rated #1 for customer support and managed services, #paid is leading the creator marketing space. Through innovative technology and a team of ambitious humans, we're transforming the future of the creator economy.

## The Role

Senior Product Manager, Data & ML

#paid is building the infrastructure that connects vetted creators with brands like McDonald's, Samsung, and Disney. As Senior Product Manager for our Data & ML squad, you'll own the roadmap for how data, signals, and machine learning power the marketplace.

Your first focus is predictive performance infrastructure, starting with creator–brand match quality: helping brands work with the right creators, and proving that it keeps them with us. You'll build it as the foundation for Forge AI, our AI agent for creators, and for campaign automation.

## Key Responsibilities

- Own the product roadmap for the Data & ML squad, starting with predictive performance infrastructure and creator–brand match quality.
- Find the signal before building: use data and conversations with brands and creators to learn what actually drives brand retention.
- Turn ML and data capabilities into clear product value for brands and creators, and build them so other products, including Forge AI, can reuse them.
- Partner with Data Product Engineering leads to tie data product strategy to company OKRs and commercial outcomes such as net dollar retention, retention, and contribution margin.
- Define a north star metric for each product or feature, with secondary and counter metrics that signal when something is going wrong.
- Decide when to run experiments, design them, and analyze the results with engineering and data partners.
- Balance brand and creator needs when they compete, and explain the tradeoffs you make.
- Sequence how ML-powered features earn brands' trust, from predictions to recommendations to automated actions.
- Work with design from the start of every project, and make clear go/no-go and deprioritization calls.
- Study competitors and market trends to find opportunities and anticipate constraints.
- Report results, learnings, and next steps clearly.

To Be Successful, You'll Need

- 6+ years of product management experience, owning a product area end to end.
- Experience setting a north star metric, with secondary and counter metrics, and using it to make prioritization and go/no-go calls.
- A history of owning roadmaps tied to commercial outcomes, such as NDR, churn reduction, or ARPU growth.
- Comfort with ambiguity: you structure problems, form hypotheses, and find evidence even when data is thin.
- Experience balancing the needs of different user groups, and working with design from the start to resolve the tradeoffs.
- 2+ years on data, ML, or analytics products, including shipping features such as recommendations, ranking, prediction, or scoring end to end.
- The technical fluency to go deep with data and ML engineers, including reading SQL and working in a modern warehouse such as BigQuery or Snowflake.
- The ability to turn model outputs and data insights into clear narratives for non-technical stakeholders.

## About You

You see data and ML as a source of lasting advantage, not a feature list. You're comfortable in a SQL query and in a strategy conversation with leadership. You define the problem before you're handed one, and you ask "why" until the real motivation is clear, for brands and creators alike.

You build trust with engineers by respecting their expertise and bringing your own, and you bring design in at the start, not the end. You care about measurable impact, and you understand that good product work connects a possibility to a user benefit to a business outcome. You take ownership of your results and your mistakes, and when user needs conflict with team goals, you put users first.

Nice to have: experience building platforms used by multiple internal teams; working experience with LLMs or AI-native product workflows, such as prompting, agent design, or retrieval-augmented generation; familiarity with creator economy, marketplace, or two-sided platform challenges; and experience building internal data tools for operations and customer success teams.

## Equal Employment Opportunity

#paid is an equal opportunity employer and as such, we do not discriminate on the basis of race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws.

We are dedicated to growing a diverse team of highly talented individuals and creating an inclusive environment where everyone feels empowered to bring their best and authentic selves to work.

If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

## About #paid

## Company Overview
- **One-liner**: #paid is a creator marketplace platform that connects vetted creators with major brands to manage, measure, and scale creator marketing campaigns.
- **Entity Type**: Private (Series B, last round in October 2022)
- **Headquarters**: Toronto, Ontario, Canada
- **Founded**: 2013
- **Founders**: Bryan Gold (Co-Founder & CEO) and Adam Rivietz (Co-Founder & CSO)

## Core Business
- **Primary industry**: Creator marketing / Advertising Services
- **Target customers**: B2B – brands and agencies looking to run creator-led campaigns (e.g., McDonald’s, Sephora, Samsung, Disney)
- **Mission or purpose statement**: “Empower creators to make a living doing what they love, and bring trust to the creator ecosystem.”

## Products & Services
- **#paid Platform**: A SaaS-based marketplace that handles all stages of creator marketing – discovery, matching, collaboration, content usage rights, and performance measurement. Brands can find and partner with creators, manage campaigns, and access live reporting and post-campaign insights.
- **Managed Services**: Dedicated team of experts who provide creative strategy, campaign management, and analytics support, backed by first-party data and industry benchmarks.
- **Content Syndication**: Allows brands to repurpose top-performing creator content across other marketing channels (out-of-home, print, digital ads, etc.).

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metric**: Annual Revenue of $5M (as of latest available data); Total Funding of $21.4M (8 rounds)
- **Notable Investors/Partners**: Lead investor for Series A: ScaleUP Ventures. Other investors include various angel and institutional backers. Clients include McDonald’s, Sephora, Samsung, and Disney.
- **Growth Signals**: Headcount grew 16.8% YoY to 120 employees; presence in 7 countries (Canada, US, Pakistan, Malaysia, India, and others); offices in Toronto, New York, Los Angeles, Chicago, and Miami. Rated #1 for customer support and managed services on G2.

## Competitive Advantages
- **Proprietary Technology**: Algorithmic matching between brands and creators based on data, not vanity metrics; automated content usage rights that enable omni-channel distribution.
- **Focus on Creators vs. Influencers**: Emphasizes performance metrics that tie to business outcomes, not just follower counts.
- **Trust & Transparency**: Fair pricing models and a vetted creator network, building confidence for enterprise clients.

## Strategic Focus
- **Current priorities**: Scaling the platform, expanding into new verticals and geographies, and deepening the analytics and measurement capabilities to prove ROI of creator marketing. The company is also investing in product features that enable self-service for smaller brands while maintaining high-touch for enterprise clients.

## Why Work Here
- **Culture**: Described as a supportive, high-growth environment where employees can show up as their authentic selves. The company is “fuelling the creator economy” and values inclusion and collaboration.
- **Remote/Hybrid**: Remote-first across Canada and the United States; also supports digital nomads. Employees work remotely with occasional in-person events.
- **Notable Perks**: Unlimited vacation, internet/phone allowance, and a focus on career-defining moments. The company is committed to building a diverse team.
- **Engineering Culture**: The engineering team builds the platform that powers brand-creator collaborations; they focus on scalability and defining the future of the creator economy. Work is cross-functional with product, design, and data teams.

## Sources
1. [jobs.lever.co/hashtagpaid](https://jobs.lever.co/hashtagpaid)
2. [hashtagpaid.com](https://hashtagpaid.com/)
3. [linkedin.com/company/hashtagpaid](https://www.linkedin.com/company/hashtagpaid)
4. [craft.co/hashtag-paid](https://craft.co/hashtag-paid)
5. [hashtagpaid.com/people](https://hashtagpaid.com/people)

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