Product Manager - Applied AI

Profound is building a professional network for the AI age, rethinking professional identity, representation, and meaningful connections.

On Profound, every professional gets their own AI Rep that understands them and represents them to bring them their next hire, role, or the right introduction.

The Profound AI Rep also helps them represent themselves through a Profound profile, handles cold inbound messages, drafts warm outreach messages and drafts compelling role briefs like this one.

On Profound, connections are built around work stories, intent and deep relevance. Conversations are started and driven by mutual context. We've unlocked novel multi-modal interaction patterns we believe consumers will find intuitive. Made possible for the first time using AI, voice agents, and on-demand intelligence.

As a Product Manager - Consumer Experience and Applied AI at Profound, you will get on work on consumer problem statements that are challenging, that need deep consumer empathy and world-class product sense.

You will own end-to-end consumer experiences along with extensive AI workflows to enable intuitive and novel use cases around professional identity, networking and building a jobs marketplace.

End-to-End Consumer Experience

• Rapid prototyping and UX ownership. Test concepts with users and set standards for quality, latency, and failure handling.

• AI Rep interaction patterns. Turn model capabilities into voice and interface behaviors users understand and love
• Product and launch copy. Write and refine copy across functional surfaces, launch materials, and marketing lifecycle.

Professional Networking

• Consumer networking experiences. Shape how professionals build, maintain, and act on meaningful connections.

• Professional identity and content journey. Build ways for people to express their work and engage their network rooted in real work.

• Hiring and jobs marketplace. Define and execute novel ways of discovering talent, meeting candidates, and closing roles.

The Applied AI Practice

• Build and extend the Applied AI practice. Champion bringing the latest AI advancements into the team and the product.

• Define durable AI capabilities. Set user guarantees, design workflows, and build AI-driven lifecycles that extend across Profound's products.

• Write and refine prompts. Craft prompts that deliver consistent, high-quality outputs aligned with user expectations.

• Evaluate model behavior in production. Trace failures, measure output quality, and adjust workflows from evidence.

• Integrate new model capabilities. Assess and adopt emerging AI features that unlock new interaction patterns or improve existing ones.

• Shipped a B2C product from launch to PMF. You made material product calls through the path to product-market fit.
• Improved AI after launch. You've worked with prompts, evaluations, failures, and model behavior in production.
• Studied design and UX patterns deeply. You track interaction paradigms across products and apply them to new problems.
• Traced second and third order effects. You've designed systems where one change ripples through user behavior and product outcomes.
• Built consumer loops at scale. You've shaped membership, rewards, gamification, engagement, or retention mechanics for consumer products.
• Prototyped ideas hands-on. You've used AI tools to test concepts with users before engineering committed.

• Stay close through production. Follow prototypes, copy, prompts, and user behavior across the full lifecycle.
• Start with consumer psychology. Ask what users will understand, value, and do before choosing an interaction.
• Test language with users. Simplify copy when comprehension shows that an idea is harder to use than expected.
• Evaluate prompts methodically. Trace output changes to copy and prompt choices, then adjust from evidence.
• Prototype before committing. Use interactive tests to expose weak assumptions before engineering invests.
• Balance speed with finesse. Cut scope to learn quickly while protecting the details that shape trust and adoption.
• Make the reasoning visible. Write clear requirements and explain why a product decision deserves investment.

We're currently moving from private to public beta. As you join and ramp up, you will refine the product, shape new networking concepts, and turn AI capabilities into clear interactions.

The role requires consumer judgment, strong writing, prototyping, and critical thinking.

You will report to the Head of Product and work closely with founding team across design, ops and engineering.