Top Tech Jobs & Startup Jobs

Build Superhuman’s AI agent platform, including orchestration, routing, planning, and multi-agent workflows. Develop and deploy machine learning systems for search ranking, proactive suggestions, and other AI-native product experiences. Integrate modern LLMs, contribute strong product judgment, and move rapidly from experimentation to production while working autonomously with cross-functional teams.

Build front-end interfaces for AI-powered products, including real-time chat, inline agent suggestions, document editors, and agent-builder tools. Develop responsive React and TypeScript experiences across browser extensions, desktop applications, and web surfaces. Address streaming content, complex state management, and multi-surface interactions while collaborating with Product, Design, and AI teams. Contribute to testing, documentation, high availability, product quality, and mentoring junior engineers.

Own GPTZero’s student-focused product from discovery through launch and iteration. Lead user research, define requirements and success metrics, manage experimentation, and partner with design, engineering, and ML teams. Build product processes from scratch as the first product manager while translating AI model capabilities and limitations into trustworthy user experiences.

Build full-stack developer experience tooling for Superhuman Docs, including internal platforms, CI/CD pipelines, deployment tools, build systems, local development environments, testing workflows, golden paths, and documentation. Partner with engineers, business-unit leaders, and the central platform team to define developer productivity roadmaps and metrics. Improve release speed, reliability, and engineering workflows across a hybrid monolith and microservices architecture.

Partners with business-unit leadership to translate strategy into priorities, plans, and execution. Establishes planning rhythms, governance, business reviews, dashboards, and operating cadences; leads complex cross-functional initiatives, product launches, integrations, and readiness efforts. Facilitates information flow and decision-making across Product, Engineering, Design, Marketing, go-to-market, Revenue, Sales, Finance, Data, and other business units while independently driving high-impact operational work.

Own end-to-end design for growth experiences including onboarding, activation, referrals, and upgrades. Translate qualitative and quantitative insights into measurable design solutions, lead experimentation and A/B testing, collaborate with product, engineering, data, and marketing teams, evolve the design system, and maintain a high bar for visual craft and usability.

Partners with Engineering, Product, and Design leadership on budgeting, forecasting, long-range planning, reporting, headcount planning, expense management, and investment decisions. Builds financial models, scenario analyses, executive reporting, and scalable automated processes using AI tools. Translates complex financial and operational data into actionable insights and collaborates across finance and business teams to support strategic initiatives and resource allocation.

Own the roadmap for Superhuman’s core data model and shared platform services across multiple products. Define canonical entities, relationships, events, permissions, and semantics while partnering with engineering, data science, security, and product teams. Establish standards for data quality, governance, documentation, discoverability, reliability, and developer experience. Prioritize investments, define success metrics, enable high-impact use cases, and turn complex distributed data into trusted, scalable platform capabilities.

Sell Superhuman's Go platform and multi-product bundles to commercial accounts (250-4,999 employees). Own full sales cycle, build pipeline, develop executive relationships, navigate complex procurement and legal processes, collaborate with Sales Engineering and Product, and establish the Commercial playbook while maintaining Salesforce CRM discipline and accurate forecasting.

Build and lead scalable data governance systems across the data platform, including privacy policy enforcement, metadata and lineage management, data security, regulatory compliance, and purpose-driven access. Architect reliable systems for high-volume data environments, shape technical strategy and roadmaps, collaborate with Privacy, Legal, Security, and Trust teams, and mentor engineers across backend infrastructure and data engineering.