Senior Software Engineer / Tulsa ON-SITE

AI overview

Engineers collaborate in small teams to build innovative AI-driven products from scratch, influencing product direction while continuously learning and iterating.

*OPEN FOR TULSA, OKLAHOMA*

Full-Stack Product Builder for an AI-Native Venture Studio

This isn’t a role for someone who just executes tickets.

We’re looking for a senior, product-driven engineer who enjoys turning unclear problems into working software. Someone who can design systems from the ground up, make strong architectural decisions early, and help other engineers level up—while staying close to users and real outcomes.

Great engineers write solid code. The best ones help decide what should exist in the first place. If you care about usability, speed, and long-term product health, this role is built for you.

The Opportunity

This venture studio builds AI-native software companies from zero. The work starts with deep user discovery, fast experimentation, and rapid iteration—only scaling what proves valuable.

You’ll be part of small, high-autonomy teams creating new products from scratch. Some ideas will be killed quickly. Others will grow into standalone businesses with real traction. You’ll help decide which is which.

Over the next several years, the studio will launch multiple startups, giving engineers the chance to repeatedly experience 0→1 building rather than maintaining a single product indefinitely.

How You’ll Work

You’ll collaborate closely with design, research, strategy, and go-to-market partners. There are no long spec documents—just real problems, early signals, and tight feedback loops.

Your days will shift between:

  • Prototyping quickly to test assumptions

  • Building production-ready systems once traction appears

  • Refining UX and performance based on real usage

You’ll have ownership over both technical direction and product shape.

The Impact You’ll Have

Early-stage products live or die by speed, quality, and clarity of purpose. In this role, you’ll help ensure what gets built is technically sound, genuinely useful, and able to evolve as users and requirements change.

This is a chance to create new value—not just maintain it.

What You’ll Do

  • Ship meaningful improvements and features continuously

  • Design and evolve architectures for MVPs and early production systems

  • Build full-stack web and mobile experiences

  • Integrate modern AI models into real user workflows

  • Partner closely with designers to deliver polished UX

  • Mentor other engineers and raise technical standards

  • Own features from first idea through real user adoption

  • Move fast, learn quickly, and double down on what works

Technologies You’ll Use

  • Frontend: React + TypeScript

  • Backend: NestJS + TypeScript

  • Databases: PostgreSQL and MongoDB

  • Infrastructure: AWS, GCP, GitHub Actions

  • AI: OpenAI, Anthropic, Gemini APIs (with thoughtful model and prompt selection)

(Exact tools may vary by venture.)

Why This Role Stands Out

  • You’ll help launch multiple products each year

  • Engineers have real influence over product direction

  • You can stay with a venture you help build or continue launching new ones

  • You’ll solve real problems, not just follow predefined roadmaps

  • High trust, high autonomy, and minimal bureaucracy

  • Close collaboration with experienced builders across disciplines

What We’re Looking For

  • 5+ years of professional full-stack engineering experience

  • Comfort working in early-stage or ambiguous environments

  • Proven ability to build products from scratch

  • Strong product intuition and user empathy

  • Experience mentoring engineers or setting team standards

  • Ability to balance speed with long-term maintainability

  • Hands-on experience with modern LLMs, AI workflows, or agent systems

  • Curiosity about emerging technologies—and judgment about when to apply them

  • Clear communication, healthy debate, and openness to better ideas

Bonus Points

  • Experience scaling MVPs into real production systems

  • Strong opinions about UX, reliability, and performance (held loosely)

  • Willingness to challenge assumptions and test alternatives

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