Principal Product Designer

Principal Product Designer

Department: Gitwit

Employment Type: Full Time

Location: Tulsa, OK

Compensation: $140,000 - $170,000 / year

Gitwit is hiring a principal product designer to lead product experiences for new AI products.

This is not a role for polishing someone else’s roadmap. You will help decide what the product should be, how the workflow should work, where the user needs to understand or approve what the system does, what should be tested first, and what should ship.

We are looking for a high-agency product thinker who can turn ambiguous AI venture concepts into testable, usable, shippable product experiences.

Gitwit is an AI-first venture studio built to find problems worth solving, validate them rigorously, and build the companies that earn the right to exist.

We are on pace to launch 15+ ventures in the next four years. For a designer, that means repeated chances to work on the most interesting part of company building: the first version.

You are not maintaining one mature product for years. You are helping create new companies from the beginning. Shaping the ambiguity, user proximity, product decisions, prototypes, first launches, early signal, and handoff to a founding team.

The pace only works if design can make the first clear product calls before everything is figured out. We need someone who can jump into a half-formed venture, figure out what the product needs to become, and help the team learn before we overbuild.

You come in as a design lead from day one. We launch around five companies a year, and one or two of them will be yours to lead across the year. You will own the product experience from early concept through prototype, first launch, user learning, and iteration.

You will work shoulder to shoulder with discovery, product strategy, engineering, brand, and venture leadership to shape the first version of the company and product. The vision is shared. The product experience - how it works, where it earns trust, and where it gets out of the user’s way - is yours to lead.

Early on, the work is hands-on and collaborative: wire framing in a room, shaping feature plans, prototyping with AI, sitting with users, and pulling apart what they say, what they do, where they hesitate, and what they actually need.

You are never tossing screens over a wall. You build next to an engineer in tight rotation, make product calls, test them quickly, and keep the distance between decision and working product short.

After the initial product, you stay close to what happens next. Analyzing what users understand, where they hesitate, what breaks down, and what the early signal suggests. You work with discovery, product strategy, and engineering to turn that learning into sharper product decisions and better next versions.

When the product has enough shape and the right founding team is ready to carry it forward, you help make the handoff clean. Then you move on to the next early product problem.

• Lead zero-to-one product design for new AI products, from blank canvas through first launch and iteration.
• Translate user observation, research, and usage signals into product hypotheses, experiments, and design decisions.
• Design AI workflows where the product may not behave the same way twice - including changing outputs, wrong or uncertain answers, human review, approval moments, fallback paths, and clear next steps.
• Generate multiple design directions, weigh tradeoffs, make the call, and explain the reasoning clearly.
• Prototype quickly to help the team learn what is real before overbuilding.
• Work tightly with product strategists, researchers, engineers, designers, and venture leaders to turn a promising idea into something real enough to test.
• Create clear, engineer-ready design systems for early products: flows, components, states, edge cases, interaction patterns, and implementation-ready specs.
• Bring discipline and meticulousness to how design gets built across the studio, so engineers are not guessing and each product does not have to reinvent the basics from scratch.
• Help the studio get smarter with each AI product by capturing what we learn about review, correction, approval,…