Data Platform Engineer transforming operational data into clean, analysis - ready datasets for Versana's platform. Collaborating within a team to implement data engineering practices and ensuring data quality standards.
About the role
- Senior Product Platform Engineer managing release readiness and quality for an AI-first SaaS startup. Own product platform and analytics systems while collaborating with engineering teams.
Responsibilities
- Own product platform and release-quality systems
- Define and maintain a consistent event schema
- Implement analytics across frontend, backend, and AI agents
- Build internal dashboards for funnels, usage, drop-offs, and failures
- Build dashboards and tools for debugging sessions and inspecting AI behaviour
- Own feature flags, rollouts, and release checks
- Act as a release gate owner, with authority to block unsafe releases
- Manage prompts and AI configuration changes
- Build and maintain AI evaluation pipelines
Requirements
- At least 4 years of experience in platform, quality, or reliability-focused roles
- Strong system-level thinking (not just test scripts)
- Experience testing AI or agent-based systems
- Understands why deterministic testing is hard — and how to work around it
- Comfortable turning vague problems into clear, shipped systems
- Willing to make and defend platform-level decisions
- Strong product judgement and pragmatism
- Strong full-stack fundamentals
- Experience with LLM or agent observability tools is a strong plus
- Experience with vision or multimodal systems is a strong plus
- Experience with real-time systems is a strong plus
Benefits
- competitive salary
- high autonomy
- accommodate everything you need to succeed in your role
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