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SECTION:targetsPAGES:14CURRENT:active/finite-state.md
TARGETS-004active/finite-state.mdUPDATED: 07/14/2026

Finite State

Status: researching

Priority: 1

Role: AI Software Engineer

Job ops data:

  • ID: d1a3fae4-17d9-418e-9f71-2aeac82bd165.
  • Score: 84.
  • Status: ready.
  • Source: workingnomads.
  • Salary: $227,000-$270,000.
  • Location: fully remote / remote-first.
  • Application: Open listing.
  • App brief: build secure full-stack product features using Next.js, TypeScript, PostgreSQL/Supabase, and AI-assisted development tools.
  • App suitability reminder: strong match on React, JavaScript, PostgreSQL, AWS, full-stack product delivery, remote collaboration, and AI-augmented development.

Company thesis:

  • Finite State provides cybersecurity software for identifying and managing risks in connected-device and software supply chains.
  • This is a product-engineering target rather than a formal FDE role, but it rewards end-to-end ownership, security-conscious implementation, and AI-native development practices.

Fit for me:

  • Strongest match: full-stack product engineering across UI, APIs, databases, and cloud deployment.
  • Second match: PostgreSQL data modeling, AWS, authentication, integrations, and multi-tenant application work.
  • Third match: high-autonomy delivery using AI coding tools in a distributed team.
  • Biggest gap: explicit Next.js, TypeScript, Supabase, and row-level-security depth.
  • Risk or concern: cybersecurity and product-security credibility may be weighted more heavily than general product delivery.

Relevant wiki links:

Signal to research:

  • Finite State's product, customers, and connected-device security workflow.
  • How this role uses Supabase, PostgreSQL, RLS, and authentication in production.
  • What the company means by AI-native development and how it evaluates AI-generated code.
  • Whether the role is customer-informed or primarily core product engineering.

Interview prep:

  • Story to prepare: owning a secure multi-tenant workflow from data model and authentication through UI and deployment.
  • Technical topic to refresh: Supabase architecture, Postgres row-level security, OAuth/OIDC, and secure multi-tenant data access.
  • Customer scenario to practice: design a secure workflow that exposes supply-chain risk data to multiple customer organizations without cross-tenant leakage.
  • Smart question to ask: "Which security constraints most strongly shape everyday product-engineering decisions on this team?"
  • Resume / cover letter angle: product-minded full-stack engineer with deep workflow, database, cloud, authentication, and AI-assisted delivery experience.

Next action:

  • Prepare a concise multi-tenant security story and refresh Supabase RLS fundamentals.

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