Full-Stack Product Engineer
Estate readiness software for advisors, families, executors, and estate teams
Josda is building estate readiness and estate administration software for financial advisors, families, executors, and estate teams. We help people turn estate planning from static documents into a practical roadmap loved ones can actually use during death, disability, serious emergency, or estate administration.
We are hiring a product-minded full-stack engineer to own meaningful parts of the Josda app end to end across React/TypeScript, Python/FastAPI, PostgreSQL/Alembic, AWS CDK, document workflows, AI-assisted support, integrations, and production quality.
This is a ground-floor opportunity to join an early-stage company led by founders with shared experience growing prior businesses from startup stage to more than $10M in annual revenue. We are especially interested in engineers who have fully embraced agentic coding tools and AI-assisted development workflows to ship faster while still applying strong judgment around quality, security, privacy, and user experience.
ABOUT JOSDA
Estate planning is often treated as a legal-document problem. In real life, families need much more than documents. They need clear access to accounts, debts, documents, contacts, instructions, digital information, and trusted workflows at the moments when confusion is most costly.
Josda is building for sensitive, high-trust situations where product clarity, security, reliability, and human-centered design matter. Our goal is to make estate planning and estate administration more usable for advisors, families, executors, and estate teams.
THE OPPORTUNITY
You will work across the stack, influence product decisions, make architecture choices, improve the customer experience, and ship features that directly affect how families and advisors use Josda.
We do not view AI coding tools as a novelty. We view them as part of how high-performing product engineers build now. The right person will use agentic tools to increase speed and ambition while independently verifying correctness, security, and maintainability.
RESPONSIBILITIES
- Own end-to-end product development from problem framing through implementation, testing, release, and iteration.
- Build clear, reliable user experiences with thoughtful flows, responsive design, strong defaults, and attention to edge cases.
- Develop and maintain the application stack across frontend, backend, data, integrations, infrastructure, and deployment workflows.
- Strengthen product quality through pragmatic testing, code review, observability, documentation, and continuous improvement.
- Improve AI-assisted and automated workflows with a focus on usefulness, trust, safety, and human-centered product design.
- Use agentic coding tools responsibly to accelerate delivery while independently verifying correctness, security, and maintainability.
- Partner closely with product and leadership to clarify ambiguous needs, make tradeoffs, and ship work that directly improves the customer experience.
- Support production operations by investigating issues, resolving root causes, and reducing recurring sources of friction.
REQUIRED SKILL AREAS
- Full-stack product engineering with production ownership across frontend, backend, data, infrastructure, and user-facing quality.
- TypeScript + React including modern component architecture, forms, routing, API integration, validation, state management, and responsive UX.
- Python backend development with FastAPI/Pydantic/SQLAlchemy or comparable API and service-layer experience.
- Relational data modeling including migrations, data integrity, authorization boundaries, and secure handling of sensitive user information.
- Cloud infrastructure with AWS or equivalent production deployment experience, infrastructure as code, secrets, observability, and operational judgment.
- Agentic coding fluency with tools such as Claude Code, Cursor, Codex-style workflows, or similar AI development systems; able to verify, test, and improve AI-generated work.
- Product and UX judgment including clear flows, strong copy, edge cases, accessibility basics, loading/error states, and empathy for non-technical users under stress.
- Security-minded engineering with strong instincts around privacy, sensitive data, authentication, authorization, auditability, and reliability.
NICE-TO-HAVE SKILL AREAS
- Estate, fintech, legaltech, or advisor platforms especially products involving regulated, financial, legal, or high-trust workflows.
- AI product experience including RAG, OpenAI APIs, chat interfaces, document search, summarization, prompt/service design, or human-in-the-loop workflow design.
- AWS depth with CDK, Cognito, RDS, S3, CloudFront, ECS/Fargate, Lambda, SQS, OpenSearch, Textract, SES, WAF, or similar managed services.
- Payments and financial integrations such as Stripe subscriptions, billing UX, Plaid, account linking, financial data processing, or webhook-driven systems.
- Document-heavy products with upload, OCR/extraction, categorization, permissions, audit trails, search, review, and secure sharing.
- Early-stage startup experience where broad ownership, fast iteration, product sense, and pragmatic tradeoffs matter more than narrow specialization.
WHO THIS ROLE IS FOR
You may be a strong fit if you:
- Want broad product ownership, not a narrow ticket-taking role.
- Think like a product engineer and care about user experience, edge cases, reliability, and clarity.
- Have already incorporated AI coding agents into your daily workflow.
- Use agentic tools to move faster while personally owning correctness, security, maintainability, and product quality.
- Are energized by early-stage ambiguity, direct customer feedback, and the chance to shape product and engineering culture.
This is probably not the right role if you want a tightly scoped backend-only or frontend-only position, a large team with highly defined processes, or a job where AI-assisted development is treated as optional or experimental.
HOW TO APPLY
Send your resume, portfolio or GitHub if available, and a brief note answering two questions:
1. What is a full-stack product or meaningful feature you owned end to end?
2. How are you currently using AI coding agents or agentic development tools in your workflow?
We care less about perfect credentials and more about demonstrated ownership, product judgment, technical range, and the ability to use modern tools to ship high-quality software quickly.
Work Location: Hybrid remote in Fargo, ND 58102
