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AI-Native Builder Product Owner

Role overview

Qualifications

  • 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

Responsibilities

  • Own a Target Scientific Domain (e.g., QC Manufacturing): develop domain workflows, constraints, and regulatory context; engage early adopter customers; translate domain problems into working software prototypes; identify reusable patterns vs one-off requests
  • Build application-layer solutions using AI: leverage AI tooling for code generation, workflow automation, configuration logic, and application scaffolding; produce working prototypes within defined sandbox and governance boundaries; maintain version-controlled, reviewable artifacts
  • Validate product–market fit through real artifacts: rapidly test domain hypotheses with functional prototypes; shorten time from concept to demo; gather structured customer feedback; determine which capabilities merit platform-level investment
  • Partner with Engineering for productionization: collaborate on architecture reviews, security and compliance considerations, performance and reliability constraints; package validated patterns for refactoring into production code; respect governance and integration standards

About the company

Semaphore Solutions logo

Semaphore Solutions

Digital Health & Health Tech

Company details

Company typeSME
IndustryDigital Health & Health Tech

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Job 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)


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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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