AI Engineer – Superhuman Mail

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $154k - $257k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

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Superhuman

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

☁️ SaaS

⚡ Productivity

🤖 Artificial Intelligence

SaaS • Productivity • Artificial Intelligence

Superhuman is a productivity software company that offers a suite of tools — Mail, Docs, Go (an AI assistant), Calendars, and Databases — designed to make email and work across apps faster and more efficient. Its flagship product, Superhuman Mail, promotes faster inbox management, timely follow-ups, and saves users time; the platform integrates AI features (including writing assistance via Grammarly and AI agents like Go) and connects to many third-party apps (Gmail, Drive, Jira, Claude, ChatGPT, Cursor). Superhuman targets teams and enterprises with collaborative documents, knowledge management, workflows, and proactive AI that schedules meetings and helps across apps. The company markets to teams (marketing, IT, education, enterprises) and emphasizes AI-native collaboration, integrations, and productivity gains.

📋 Description

• Build and evolve Superhuman Mail’s MCP, including new tools, standards, and agent capabilities • Design and ship agentic workflows and personalization features at scale • Build evaluation systems to measure quality and catch regressions as prompts, models, and tools change • Help select the right models for each task and explore new models • Partner with teams across Superhuman to provide AI building blocks • Ship quickly, learn, and adjust course as the industry changes • Help shape the modeling approach, including data collection and generation • Work with Go, Postgres, Redis, Kubernetes, AWS, and TurboPuffer

🎯 Requirements

• 4–6+ years of software engineering experience with a strong backend foundation • Python or TypeScript experience; Go is a plus • Hands-on experience building and shipping LLM-powered features in production, such as agents or agentic loops • Experience building evaluations to measure and improve LLM quality • Familiarity with MCP servers or tools, or eagerness to learn • Working machine learning knowledge to reason about model selection and tradeoffs • Comfortable with ambiguity and quick changes in direction • Uses AI to improve personal productivity and team impact • Strong ownership, bias to action, and growth mindset

🏖️ Benefits

• Excellent health care, including medical, dental, vision, mental health, and fertility benefits • Disability and life insurance options • 401(k) and RRSP matching • Paid parental leave • 20 days of paid time off per year • 12 days of paid holidays per year • Two floating holidays per year • Flexible sick time • Caregiving stipend • Pet care stipend • Wellness stipend • Home office stipend • Other generous stipends • Annual professional development budget • Professional development opportunities • Equity

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