What type of Product Manager
do you need?

Hired for discovery to find product-market fit. This PM is comfortable 'in the weeds' but works just as well on the strategy necessary to get to the outcome of an MVP. Whether taking a Founder’s 'napkin drawing' of a product idea and bringing it to release or bringing a new opportunity to the global market for a publicly traded company, they are hired to build.

Today's Data Product Manager is the person who will leverage AI and ML capabilities to drive decision making or automation for the business and/or their customers. They are hired to ideate around new experiences and new features that leverage data.

This persona works on products with a self-serve business model. Whether a freemium product, free/paid trial, or three-stage pricing model to get premium features, this Product Manager is focused on analyzing data and optimizing for business outcomes and the user experience. They are also instrumental in optimizing workflows that reduce the friction of subscription renewals. Typically hired to drive growth or unlock scale.

The Product Manager is responsible for the end-to-end product management lifecycle through research, prototyping, development and QA - they own it all. Often found in early stage startups, as they combine the roles of Product Manager and Product Owner. Most Fullstack PMs have a STEM degree and frequently began their career as an Engineer. They are able to deliver a product into the market.

This is a Technical Product Manager working on complex workflows. An API Product Manager manages the development of integration points that close gaps on the product roadmap. They also ensure the applications being used in a solution communicate with one another to deliver a frictionless experience to the end user. Hired to define, deliver, and manage an API strategy.

Experimental by nature, with a growth marketing persona and often found in a PLG business, whether DTC, B2C, or a B2B subscription (SaaS) service. They continually analyze user data, making iterative adjustments, or doing experiments to drive incremental growth or reduce churn and abandonment. This pool of talent is highly sought after, and highly paid because they directly impact growth metrics and revenue. They are hired to drive growth and scale.