Top Tech Jobs & Startup Jobs

Build and maintain Databricks data pipelines and reusable models for Go product analytics. Define metrics, improve event logging, connect product usage with customer data, and support adoption and growth analysis. Ensure data quality through testing, monitoring, troubleshooting, and documentation. Optimize pipeline performance and costs while collaborating with Product, Engineering, and Data Science. Contribute dashboards and analyses that support product and business decisions.

Leads strategic finance for the consumer business, owning ARR planning, forecasting, financial modeling, performance reporting, and cohort analysis. Partners with Growth, Product, Data, Marketing, business units, executives, and the Board to evaluate acquisition, conversion, retention, investment priorities, and tradeoffs. Builds trusted metrics, improves attribution and forecasting processes, and translates user behavior and business performance into strategic recommendations.

Develop and execute organic social media strategy across multiple platforms, managing content calendars, publishing, platform-specific copy, community engagement, campaigns, and social video. Monitor performance and report on engagement, reach, and brand impact. Collaborate with marketing, product, design, communications, partner marketing, social care, and agency teams to build brand awareness and support product launches.

Embedded Data Scientist for Superhuman Mail, partnering with product, growth, engineering, and design teams to guide roadmap decisions. Responsibilities include defining product metrics, designing experiments, applying causal inference and machine learning, measuring AI feature quality, analyzing activation and retention, identifying growth and conversion drivers, and communicating insights to stakeholders. The role requires strong Python, SQL, experimentation, statistics, and cross-functional influence skills.

Own lifecycle conversion programs that turn free users into paying customers through experimentation, personalization, and AI-driven upsell experiences. Develop email, in-product, and push strategies; build statistically sound testing roadmaps; analyze behavioral and product data; and optimize revenue, retention, and lifetime value. Lead internationalization growth initiatives and support cross-product monetization across the Superhuman suite while partnering with marketing operations, data science, creative, and international teams.

Lead product design for Superhuman Docs, shaping product strategy and translating customer needs into clear, polished experiences. Collaborate with product managers and engineers to prototype, test, and iterate on AI-powered productivity features. Contribute to design-system patterns, work across discovery through high-fidelity execution, and partner with distributed teams across Porto, New York, and San Francisco.

Own the strategy, roadmap, and execution for a major area of Superhuman Go, an AI assistant. Partner with engineering, design, research, data science, and go-to-market teams to develop trusted AI experiences, platform capabilities, agents, integrations, and cross-device workflows. Define user journeys, metrics, experiments, and priorities while translating complex technical capabilities into intuitive products. Drive clarity and execution across interconnected teams and Superhuman’s product suite.

Lead full-cycle B2B sales growth across K12 and higher education markets. Manage pipelines, territory strategy, consultative selling, enterprise negotiations, RFPs, procurement, forecasting, and quota attainment. Coach sales teams, present AI-enabled education solutions to institutional leaders, navigate privacy and compliance concerns, and collaborate with Customer Success, Product, and Marketing.

Supports commercial contracting by triaging requests, reviewing and drafting NDAs, order forms, SOWs, and MSAs, escalating complex issues to senior counsel, maintaining contract records, and improving legal workflows, templates, playbooks, and CLM processes. Partners with Sales, Finance, Security, Product, and Legal Operations on routine contract questions, data privacy and security terms, and scalable self-service resources.

Own the architecture and evolution of Salesforce and the broader GTM technology stack. Design integrations across CRM, quoting, compensation, billing, marketing automation, conversation intelligence, and data warehousing. Build trusted GTM data foundations and AI-native workflows, develop integrations with company products, and lead technical designs for GTM initiatives. Partner with Sales Operations, product, engineering, and AI teams while delivering maintainable systems for the GTM Systems team.