Founding Engineer Engineering Portland, OR; strong preference · Equity

We haven't announced or posted this role anywhere. This is the single link to this job. If you're reading this, you probably already understand the need for a product like Decky. Who do you know that's a fit — is it you?

Posted March 23, 2026 — if this listing is still up, the role hasn't been filled yet. Apply now.

Full-stack AI-native Early stage 4th employee 2–3% equity

Portland, OR (strong preference)

Employment Type

Full-time
· Equity + Salary

Department

Equity

2–3%

$80K

TL;

DR – We're hiring our first dedicated engineer. You'll be the 4th employee — building the AI pipeline, web app, Chrome extension, and API that enterprise customers are already using. 2–3% equity, direct access to both founders, and the kind of ownership most engineers don't get until they start their own company.

Active

SAFE round in progress — enough closed to hire now

Traction

Live

Paying customers + inbound from large enterprises

Team size

4th

You'd be the 4th employee on the team

Every deck on brand, in minutes — AI-powered presentation automation built for the way enterprise teams actually work.

Sales and customer success teams spend hours manually building decks from templates. Decky fixes that. Connect your existing Google Slides or PowerPoint template, feed it your data, and Decky generates polished, on-brand presentations automatically.

We're a small team of three, the product is live and in customers' hands, and we're actively raising our SAFE round. We've already closed enough to bring on a full-time engineer — you'd be the 4th employee.

We're not pre-product, pre-revenue, or pre-customer. We're at the stage where the right engineer joining now shapes what this becomes — and shares meaningfully in what it's worth.

• Web app, Chrome extension, and API surface used in production today
• Integrations with Hub Spot, Salesforce, and data sources customers already live in
• Admin dashboards, usage analytics, and brand compliance tooling
• The infra that lets this scale from dozens to thousands of enterprise users

We work across the modern AI tooling ecosystem and move with the frontier. Day to day, that means multi-model routing, RAG pipelines grounded in brand data and templates, agentic workflows that parse/plan/generate end-to-end, and fine-tuning for brand voice and layout constraints. You should be comfortable with LLM APIs, orchestration frameworks, vector DBs, evals, and observability tooling.

Get deep in the product

Learn the codebase end-to-end, ship your first real feature, and talk directly to at least two customers. No orientation theater.

Days 31–60

Own a meaningful surface

Take full ownership of a core product area — likely the generation pipeline or enterprise integration layer — and start making architectural decisions.

Days 61–90

Shape what comes next

You're in the room for product strategy. Your instincts about what to build — and what not to — are actively shaping the roadmap.

Obsessed. Not enthusiastic — obsessed.

• Side projects that actually ship
• Can't stop thinking about the product
• Comfortable with ambiguity
• Enterprise empathy — talks to customers without being asked
• Comfortable at any layer of the stack — knows when to go deep vs. move fast
• Has built things that real users relied on

Experience with LLMs, document generation, or presentation tooling is a genuine plus. But we care more about the quality of your thinking than how closely your resume matches this list.

• Experience working in an enterprise context where brand compliance is a legal requirement
• Experience with LLMs, document generation, or presentation tooling
• Background in early-stage startups or founding engineering roles

• 2–3% equity — 4-year vest, 1-year cliff, path to Head of Engineering
• $80K salary — startup-stage, scales with funding milestones
• Direct access to both founders — no layers, no middlemen
• SAFE round active — comp grows with each milestone

MC

GF

Graham Foster

Co-founder & CTO

The architect behind Decky's core engine and your direct manager. Graham owns the technical roadmap — from AI pipelines to infrastructure — and will be your primary…