Note: The job is a remote job and is open to candidates in USA. Techgene Solutions is seeking an AI-Native Product Engineer to own product areas across discovery, design, implementation, testing, and iteration. The role focuses on translating ambiguous business objectives into polished SaaS workflows, making sound architectural decisions, leveraging and validating AI-assisted development tools, and collaborating independently with cross-functional stakeholders.
Responsibilities
- Own product areas from broad business goals through discovery, design, implementation, testing, and iteration
- Translate ambiguous objectives into clear user workflows, product requirements, technical plans, and implementation steps
- Question unclear requirements, identify missing pieces, surface risks and edge cases, and propose better product or technical approaches when appropriate
- Design and build polished, intuitive SaaS workflows, including dashboards, tables, filters, forms, detail views, configuration experiences, empty states, loading states, and error states
- Make thoughtful architecture decisions across data models, APIs, frontend architecture, backend architecture, permissions, integrations, state management, scalability, security, and maintainability
- Use AI-assisted development tools to accelerate coding, refactoring, debugging, test creation, documentation, and architectural exploration
- Critically review, validate, debug, and test AI-generated code to ensure production-quality implementation
- Communicate clearly and proactively about requirements, architecture, tradeoffs, implementation status, open questions, risks, and blockers
- Drive work forward independently while collaborating effectively with product, engineering, design, and business stakeholders
Skills
- Senior-level engineering experience with the ability to design, build, validate, and improve production software
- Strong product judgment, including the ability to understand users, workflows, pain points, business outcomes, and success criteria
- Demonstrated ability to operate in ambiguity, ask clarifying questions, challenge assumptions respectfully, and make progress without highly detailed tickets
- Advanced fluency with AI-assisted development tools such as Cursor, Claude, ChatGPT, GitHub Copilot, or similar environments
- Ability to orchestrate AI tools effectively rather than treating them as simple autocomplete or boilerplate generators
- Strong technical judgment across SaaS architecture, including data modeling, API design, frontend and backend design, permissions, integrations, scalability, error handling, maintainability, and security considerations
- Solid understanding of modern SaaS UX patterns and the ability to build interfaces that feel intuitive, polished, and product-quality
- Excellent written communication skills, with the ability to explain reasoning, tradeoffs, risks, blockers, and decisions clearly and concisely
- Ownership mindset with the ability to act as a force multiplier for the product and engineering organization
Company Overview
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