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Superhuman builds AI-augmented productivity tools for email, documents, and cross-app workflows. The stack reveals heavy investment in LLM infrastructure (OpenAI, Anthropic, Vertex AI) paired with observability and evaluation tooling—reflecting active work on prompt validation and AI feature monitoring. Hiring is accelerating across engineering and product (32 of 67 roles), with a senior-skewed mix, while pain points center on scaling infrastructure, retaining customers, and managing the operational complexity of AI features at production scale.
Tech Stack 41 technologies
What Superhuman Is Building
◆Challenges
- Scaling interfaces and infrastructure
- Retaining revenue-generating customers
- Growing technical complexity
- Improving legal workstream efficiency
- High friction onboarding
- Observability of ai features
- Scaling equity program processes
- Transition from build-it-own-it model
- Scaling interfaces, algorithms, infrastructure
- Regulatory compliance for ai and saas
▲Active Projects
- Metrics and dashboards for llm usage
- Closed-loop evaluation pipelines for prompt validation
- Dashboards and reporting
- Team onboarding activation
- Continuous improvement initiatives across intake and triage
- Outside counsel optimization
- Observability and lifecycle management of ai features
- Agent platform go-to-market strategy
- Large-scale data pipelines
- World-class data platform
Hiring Activity
65 roles · 65 in 30d
Department
Seniority
Notable leadership hires: Head of Product
Company intelligence
