AI-Native Builder Product Owner
semaphoresolutions
| Company | semaphoresolutions |
| Category | Data & Analytics |
| Location | CA |
| Remote | — |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| First seen | 27 Jul 2026 (the employer did not state a posting date) |
| Last verified | 11 Aug 2026 |
| Source | Employer ATS (bamboohr) |
Description
We are seeking an AI-Native Builder Product Owner to accelerate entry into new scientific domains by rapidly prototyping and validating application-layer solutions on top of our platform.
This role sits at the intersection of:
• Scientific domain expertise
• AI-assisted software development
• Product ownership
• Application architecture
You will compress the cycle between domain insight and working software — while partnering closely with Engineering and Product Management to ensure production-grade outcomes.
This is not a traditional PM or engineering role. You are a builder with domain depth and AI fluency.
What You Will Do:
1. Own a Target Scientific Domain (QC Manufacturing to start)
• Develop a deep understanding of domain workflows, constraints, and regulatory context
• Engage directly with early adopter customers
• Translate domain problems into working software prototypes
• Identify reusable patterns vs one-off requests
2. Build Application-Layer Solutions Using AI
• Use AI tooling to accelerate:
• Code generation
• Workflow automation
• Configuration logic
• Application scaffolding
• Produce working prototypes — not slideware
• Operate within defined sandbox and governance boundaries
• Maintain version-controlled, reviewable artifacts
3. Validate Product–Market Fit Through Real Artifacts
• Rapidly test domain hypotheses through functional prototypes
• Shorten time from concept to demo
• Gather structured feedback from customers
• Identify which capabilities merit platform-level investment
4. Partner with Engineering for Productionization
• Collaborate with Platform Engineering on:
• Architecture review
• Security and compliance considerations
• Performance and reliability constraints
• Package validated patterns for refactoring into production code
• Respect governance and integration standards
5. Drive Economic Outcomes
• Reduce time-to-prototype in new domains
• Increase reuse of validated extension patterns
• Inform roadmap investment decisions with working artifacts
• Avoid speculative feature investment
Qualifications
Required
• 5+ years of experience in software development or technical product ownership
• Strong hands-on coding experience (Python, TypeScript, Java, or similar)
• Proven use of AI tools to build or accelerate software development
• Experience operating in version-controlled, production-grade environments
• Experience working directly with technical engineering teams
Strongly Preferred
• Deep experience in a relevant scientific domain (e.g., QC Manufacturing, genomics, regulated laboratory environments)
• Experience building configurable or workflow-driven systems
• Familiarity with SaaS architecture and API-driven platforms
• Understanding of regulated environments (e.g., validation, auditability, compliance)