We are running a lean, focused engineering team
We intentionally operate as a compact, high-velocity engineering organization. We believe small teams with modern tooling, automated verification, and deep domain ownership ship faster and build better software than bloated hierarchies.
When new positions open, we reach out first to engineers in our speculative talent pool. If our mission and technology stack resonate with you, we encourage you to send a speculative application.
Small team, outsized impact
Every contributor directly shapes core systems: from Go ingestion engines and Typst vector compilers to fluid Next.js document studios.
Deep work & minimal meetings
We communicate asynchronously and write clear technical specs. We protect uninterrupted focus hours so builders can execute with confidence.
Direct candidate outreach
While active positions are closed, we personally review speculative inquiries and reach out directly to builders in our talent pool first.
How we build and operate
We are builders first. These core principles guide our engineering standards, architectural choices, and daily execution.
Quality over ceremony
We prioritize clean, readable code, thorough automated testing, and rapid continuous delivery over bureaucratic meetings. We protect deep focus time so builders can ship with confidence.
Truthful, zero-hallucination AI
Job seekers entrust us with their livelihood. Our tailoring engine strictly derives from verified candidate achievements and never invents experience or fabricates credentials.
High-leverage, modern architecture
We build with Go Clean Architecture, Python AI services, Typst vector typesetting, and Next.js, maximizing throughput, reliability, and sub-second user responsiveness.
Privacy first by default
We treat user resumes and application history as strictly confidential personal property. We never sell data to recruiting brokers or train public models on user documents.
Deep end-to-end ownership
Every engineer owns their domain from system architecture and database schemas to UI polish, performance telemetry, and customer feedback.
Speed and continuous delivery
We ship small, well-tested improvements continuously rather than waiting for infrequent releases. Tight feedback loops yield better software and faster innovation.
Disciplines we hire for
These are the core engineering disciplines we evaluate when opening new roles and reviewing speculative inquiries.
Systems & Backend Engineering
Talent PoolGo, PostgreSQL, Redis, Clean Architecture
Architect high-throughput job ingestion pipelines, resilient caching layers, and real-time streaming services handling millions of career records.
AI & Document Engine Engineering
Talent PoolPython, Vector Embeddings, Typst Compiler
Develop semantic resume matching algorithms, keyword gap diagnostics, and sub-second pixel-perfect PDF typesetting engines.
Frontend & Studio Engineering
Talent PoolNext.js, React, Tailwind CSS, Framer Motion
Craft fluid, accessible, and responsive user experiences for our interactive resume tailor studio, application kanban, and live document previewers.
Browser Extension & Automation
Talent PoolManifest V3, WebExtension APIs, DOM Automation
Build robust client-side autofill engines and form synthesis heuristics compatible with 100+ hiring portals including Greenhouse, Lever, and Workday.
How to stand out when reaching out
When reviewing speculative applications for our talent pool, we look for clear evidence of craft, curiosity, and execution.
- Demonstrated craftsmanship: Share links to production systems you designed, complex bugs you diagnosed, or personal tools you built to solve real problems.
- Architectural clarity: Tell us about a technical compromise you made, an optimization you shipped, or an engineering decision you would approach differently in hindsight.
- Candidate empathy: A genuine understanding of how stressful and repetitive job hunting can be, and a desire to build software that empowers working professionals.
