Full Stack Engineer

Do you have experience in TypeScript?, AI Zealots. You don’t just use AI tools, you geek out over them. You’re all over coding agents and modern dev environments. You have shipped AI-enabled solutions and have guided coding agents to help you move faster.

Customer Obsessed. There’s no barrier between you and our users. You have strong product sense and think like a founder. You’re comfortable jumping on customer calls, gathering feedback, and translating that directly into what you build.

Velocity Driven. You move fast. You learn fast. You ship fast. You understand that velocity is a feature. You’re comfortable with iteration, learning from failures, and pivoting quickly.

Passionate Builders. You love what you do. There’s fire in your belly for building something meaningful. You want to be on a mission and be part of something that transforms how people work with data., * 5+ years of professional software engineering experience. We are looking for mid-career engineers who bring real-world judgment, not just technical skill.

• Strong full stack development experience: Vite, TypeScript, React, Postgres, Lovable, Supabase (and more as we grow). You don’t need deep expertise in every tool, but React and TypeScript should be in your toolkit.
• Experience building with AI and ML technologies (LLMs, vector databases, coding agents, etc.)
• Track record of shipping customer-facing products at user-forward, product-led companies. Think Canva, Figma, or similar modern tools, not back-office infrastructure.
• Product thinking and design sensibility.
• Comfort with ambiguity and rapid iteration.

Pulled from the full job description

• 401(k)
• Health insurance
• Paid time off
• Vision insurance
• Dental insurance
• Flexible schedule, * Ground floor opportunity at a well-funded startup (backed by top-tier VCs)
• Work directly with founders and customers
• Shape product decisions and company culture
• Competitive salary and equity. Compensation is calibrated based on experience and demonstrated skill following the interview process.
• Embrace new technologies to be amazing for our customers

You must complete the associated challenge to be considered. This application closes May 31, 2026. Hiring managers review applications on a weekly basis.

About Provn

Provn is where builders get hired. Your Provn application is your edge to rise to the top of the candidate pool. You will complete a challenge designed in partnership with the hiring manager for this role. Present your approach, your critical thinking, and your solution. Humans, not bots, review and assess your work. Hiring managers contact top performers directly for interview loops. Through challenge-based portfolios and merit-first matching, we connect companies hiring builders with the talent who can actually do the work, regardless of geography, education, work history, or network.

Pay: $130,000.00 - $200,000.00 per year, * 401(k)

• Dental insurance
• Flexible schedule
• Health insurance
• Paid time off
• Vision insurance

Provn is hiring a Full Stack Engineer for Golden Analytics, a Bellevue startup building the future of business intelligence. Golden Analytics is a third-generation BI platform that combines Tableau’s analytical power with Canva’s design excellence, all powered by AI.

Comp: $130,000-$200,000 (DOE). Onsite in Bellevue, WA. Competitive equity. Full benefits package.

Here’s the context

Golden Analytics is creating analytics tools that anyone can use, without sacrificing depth or sophistication. The company is backed by top-tier VCs.

As a Full Stack Engineer at Golden Analytics, you will own critical user experiences from end to end. You will build the AI-powered features that customers interact with every day: data preparation, analysis, storytelling, sharing, and more. You will integrate Golden Analytics into the systems that help customers work seamlessly: collaboration, notifications, purchasing, and others. This is not a role where you hand off specs and wait for feedback. You will talk to customers in the morning, build in the afternoon, and ship by evening.

What you’ll build

• AI-native data analysis, visualizations, and dashboards
• Smart data preparation and enrichment
• Natural language interfaces for analytics
• Real-time collaboration tools
• Analytics-to-automation workflows