AI-Native Builder Product Owner
Semaphore Solutions
Software Engineering, Product, Data Science
Victoria, BC, Canada
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)
