Description
You’ve had experience taking a software product from zero to launch, but you know that deep, thoughtful product work doesn’t end. You’re the kind of person who figures things out without a map, who goes deep on understanding the user, the problem, and the domain until a clear path emerges. You don’t want to manage a backlog or fill in a spec. You want ownership of a goal that matters and the space to pursue it with speed, insight, and focus.
At Trilogy, we’re flipping the model. You’re not here to “own the roadmap”. You’re here to make one thing true: a real-world, measurable business outcome. You get one clear goal—something that should happen when users interact with the product—and your job is to make it happen. You’ll need to build deep domain insights using AI as your peer and feedback from users, codify them so that both your teammates and AI can act on it, and steer the product through fast, data-backed iterations until you hit the outcome.
You’ll be joining a team that doesn’t celebrate busywork or beautiful process diagrams. You’ll be there to drive impact and make decisions rooted in user data, fast feedback loops, and sharp insight. If you’re sick of playing the PM game and want to actually change the game, please apply. We’re building what product management should have been all along.
What you will be doing
- Build BrainLifts: A structured, evolving body of expert insights that sharpens AI tools, guides decisions, and proves you understand the domain.
- Make Product Iterations: Small, data-driven product enhancements shipped weekly to steer the product toward a measurable outcome.
- Building Domain Expertise: Acquire deep, structured understanding of a specific domain so that the team can make higher-quality decisions, create more tailored outputs, and communicate with authority.
What you will NOT be doing
- Spending a whole month developing a new feature; we aim to ship new features on a weekly basis
- Writing lengthy and exhaustive PRDs, managing backlogs, or defining every screen or edge case
- Building technical solutions or software architecture
Candidate requirements
- 4+ years in a product leadership role in a product company, where you personally shaped an entire software product's vision, defined the roadmap, and improved it based on usage metrics or customer feedback (i.e., not just a feature or a module in a bigger product, and not internal development or outsourcing work or custom development done for a single customer)
- Some experience in product management of software used by large enterprises, so you can understand the particularities of how large enterprises choose, buy, and adopt software, compared to consumers or even SMBs.
- Enthusiasm for using AI in your daily work (e.g., research, analysis, synthesis, or strategy).
Applying for a role? Here’s what to expect.
Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.
Pass Cognitive Aptitude Test.
Pass English Proficiency Test.
Prove Real-World Job & AI Skills.
Ace An Interview Or Two.
Accept Job Offer.
Frequently asked questions
Reviews
Meet some people who've landed similar jobs
Recruitment sucks. So we’re fixing it.
The Olympics of work
It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Premium pay for premium talent
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
Shortlist by skills, not bias
We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.