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Different Inc. is seeking a product manager to own key product areas, from discovery to production, focusing on AI-enabled marketing workflows and reliable delivery. You will collaborate with engineering, design, and customer-facing teams to translate customer problems into concrete prototypes and measurable outcomes.
The role emphasizes strategic thinking, rapid prototyping, and driving production-ready solutions while maintaining a strong focus on metrics and customer impact.
About us
Different is a marketing system that runs demand generation for B2B companies. It handles campaign creation, personalization, and optimization in one place, so lean teams can do more without adding headcount, agencies or point AI solutions. Customers use Different to launch campaigns faster, reach the right buyers, and continuously improve marketing ROI. Between them, Different’s founders have founded two unicorns, led AI at a global marketing software giant, and built platforms used by millions. They bring deep product, technical, and business experience to one shared goal: reimagining how modern marketing works. We are backed by General Catalyst and Lightspeed.
You will own a major part of the product, from understanding customer problems and deciding what to build to prototyping, shipping and measuring outcomes. We are building a system where AI agents take on increasingly complex marketing work. You will help define what these agents should do, how marketers interact with them and how we make the system reliable enough for customers to trust with real business decisions. You will work closely with engineering, design and our customer-facing teams. We value PMs who can think strategically, build working prototypes and own making solutions working production rather than just writing specs.
Roadmap: own one or more product areas, grounded in customer conversations, usage data and the company's goals.
Customers: work with the people who buy the product, the people who use it daily and our customer-facing teams, and bring their feedback, both implicit and explicit, into every decision.
Specs: write short, clear specs that state the problem, the user and how we'll know it worked.
Evals: craft evals for open-ended problems and scenarios: define what good output looks like, build the example sets, and decide what happens when the model is wrong.
Prototypes: prototype ideas with AI tools to test them with users, and help ship them to production with engineering.
Outcomes: set success metrics for each launch, check them after release, and decide what to change.
AI workflows - design how agents, tools and marketers work together to complete complex tasks, including when the system should act autonomously, ask for approval or recover from failures.
You don't need any marketing or advertising experience, but you'll need to learn the domain quickly, including how marketers think about audiences and campaigns and what happens after a campaign launches.
Marketers judge the product by results such as meetings booked, pipeline created and ad spend that wasn't wasted, so you'll see quickly whether a decision moved those numbers.Much of the product is AI acting for the marketer. A large part of product judgment here is deciding what good output looks like and when a person should step in.