Kamila Selig

Kamila Selig — applied AI, product

I work on what happens when AI models leave the lab and hit real organizations.

Product manager building agentic systems inside large enterprises, currently at Google, with a decade in emerging tech before that — no-code, blockchain, now AI. I write Loadbearing Tech, a weekly newsletter about incentives, org design, workflow integration, and ROI that survives a finance review.

Read Loadbearing Techor say hello →
Hand-drawn diagram of an AI model on a lab bench, wired into offices full of people at work
Fig. 1 — the deployment gap
no-code → blockchain → AI agents·shipped to millions of users·startup acquired by Google·enterprise deployments, not demos
About

A front door, not a résumé.

10+
Years in emerging tech
3
Hype waves shipped through
1
Weekly newsletter

I'm a product leader working on applied AI — agentic systems deployed inside large enterprises — with a decade in emerging tech before that. I've shipped products to millions of users across three hype waves: no-code, blockchain, and now AI.

The no-code startup I worked at was acquired by Google, where I've been since. So my perspective is shaped by both sides of the industry: building scrappily under the constraints (and rewards) of a startup, and operating inside a large, complex, tier-1 company.

I write Loadbearing Tech, a publication for builders and tech leaders deploying emerging tech into the world, with a focus on incentives, organizational design, workflow integration, and ROI evaluation.

Since you're here — I'd love to connect. I'm especially interested in conversations with founders working through product or adoption questions, researchers studying how AI systems behave in practice, leaders shaping how emerging technology gets deployed inside real organizations, and folks early in their career wondering what the hell they should do.

Hand-drawn ink portrait of Kamila Selig on cream paper
Fig. 2 — Kamila, in ink
Featured writing

Loadbearing Tech

Weekly, for directors and VPs, senior PMs, and applied-AI engineers. What actually happens when models meet org charts.

Subscribe at loadbearingtech.com
Projects

Things I'm building and writing.

Articles, written artifacts, and work in progress. The newsletter archive is the best sample.

Personal canon

Books I keep handing to people.

Ink sketch of a stack of well-worn books with reading glasses and a pencil
Fig. 3 — the stack, currently

  • Seeing Like a State

    James C. Scott

    The best book about enterprise software that isn't about software. Legibility is the whole game.

  • The Mythical Man-Month

    Fred Brooks

    Still the clearest writing on why adding capacity to a late project makes it later. Substitute 'agents' for 'programmers' and reread.

  • Thinking in Systems

    Donella Meadows

    Where my instinct to look at incentives before capability came from.

  • The Design of Everyday Things

    Don Norman

    Read it early, kept it. Affordances explain most AI adoption failures I've watched up close.

  • How Buildings Learn

    Stewart Brand

    Systems get changed by the people living inside them. Deployment is renovation, not construction.

Growing list. Suggestions welcome — that's half the point of having a website.

Say hello

Open to fractional, advisory, and good conversations.

Consulting and advisory work on applied AI, product, and adoption inside large organizations. Also: no agenda at all. Email is the fastest way in.