Product Manager, Core Product

Profound is the marketing platform for the AI era. As people increasingly turn to ChatGPT, Perplexity, and Gemini to decide what to buy, we give brands the intelligence to see how AI represents them and the Agents to act on it. Today, ~13% of the Fortune 500, plus companies like Ramp, Figma, Chime, Calendly, and DocuSign, use Profound to turn AI Search from a black box into a measurable growth channel.

Backed by Lightspeed, Sequoia, Kleiner Perkins, and Khosla Ventures at a $1B valuation, we're a lean, fast-moving team across NYC, SF, Buenos Aires, and London, shipping at a relentless pace and defining a new category at the biggest shift in marketing in 25 years. If you want to do the best work of your career at the frontier of AI, come build it with us.

Product managers here are true product owners, responsible for discovery, execution, and delivery end to end. This is a chance to build at the frontier of AI and marketing and make an impact that bends the trajectory of the company.

We're hiring across several product areas: analytics tools that help marketing teams understand their brand's performance on answer engines, an agent platform where marketers build and orchestrate agents to execute strategies and automate operations, and vertical solutions built for new use cases and strategic customer segments. As a Product Manager on the Core Product team, you'll own one of these areas end to end: driving strategy, shaping the product, and delivering outcomes that matter to customers and the business.

• Craft the strategy and drive execution for one of Profound's core product areas: Answer Engine Insights, Agent Analytics, and Prompt Volumes; the agent platform including background agents, the agent builder, and projects; or vertical solutions across Shopping, Ads, self-serve, and agency workflows

• Define how customers measure, understand, and improve their brand's performance across AI-powered answer engines: from prompt monitoring and competitive benchmarking to agent-driven automation and vertical-specific workflows

• Expedite execution across engineering, design, data, and marketing by creating clarity, making decisions, and managing scope

• Optimize the team for velocity and quality shots on goal

• Be in front of customers every day to do discovery, get feedback, and sell

• Partner with Sales, Marketing, and Engagement teams so that we tell compelling stories to prospects and customers

• 5 or more years of experience building excellent software products, ideally in a startup or fast-moving company

• Domain expertise in one or more of: AI agent systems, LLMs, or prompt engineering; marketing analytics, data products, or BI tools; or ads, ecommerce, retail, agency workflows, or self-serve B2B SaaS

• Ability to lead cross-functional teams through ambiguity, create clarity, and push teams to ship product and drive impact

• Strong product fundamentals with a spike in one or more of data, AI/ML systems, development, design, or enterprise go-to-market

• Willing to roll up your sleeves to help the team execute, whether that means creating prototypes, writing SQL, evaluating model outputs, building dashboards, creating content, or responding to support tickets

• You play on offense, creating and running toward opportunities and injecting energy into teams

• Experience as a founder, working at an early-stage startup, or launching zero-to-one products is a plus

This is an on-site role based in our Union Square, NYC office, designed for builders who thrive on speed, iteration, and meaningful impact.

For this role, the expected base salary range is $200,000 to $300,000. Profound's total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.

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