Top Tech Jobs & Startup Jobs

Own the technical direction of the web platform, including shared frontend frameworks, component libraries, tooling, build pipelines, and developer workflows. Architect scalable reusable components, establish frontend standards for accessibility, performance, and design systems, and champion AI-assisted development practices using tools such as Cursor and GitHub Copilot. Identify systemic issues, improve engineering velocity, and provide cross-functional technical leadership across product teams.

Owns cross-functional People and Talent Operations initiatives spanning people analytics, AI workflow automation, HR systems, employee recognition, compensation infrastructure, process design, and employee support. Builds dashboards and workforce narratives, develops compensation frameworks and pay equity analyses, improves onboarding and operational processes, and independently resolves complex employee questions involving benefits, immigration, payroll, and leave.

Own paid-channel creative, primarily for Meta, from concept through launch. Develop diverse ad concepts and conversion-focused landing pages, analyze performance KPIs, iterate quickly, and build AI-powered production workflows. Partner with growth marketing and creative teams to create variants, scale successful campaigns, and develop ideas informed by performance data. Work in Genius AI’s NYC headquarters three to four days weekly.

Develop and execute sourcing strategies for Engineering, Product, and Design roles. Source active and passive candidates, build alumni, referral, campus, and event pipelines, organize recruiting events, create AI-powered sourcing workflows, screen technical candidates, manage early interview stages, and coordinate closely with recruiters and hiring managers.

Engineering interns will build, test, and ship production features for web and mobile products. They will develop AI-powered automation, write and debug code, analyze usage data with data analysts, iterate with senior engineering feedback, and learn new languages, frameworks, and AI-native development practices. The role is in person at the Union Square, NYC headquarters from June through August 2027.

Staff Backend Engineer responsible for architecting AI-powered products, integrating production LLM systems, validating designs through proof-of-concepts, and setting technical direction for high-innovation teams. The role combines architecture, planning, technical leadership, hands-on coding, roadmap development, technical debt reduction, and cross-functional collaboration with Product, Design, and Engineering leadership. Candidates will help establish scalable backend architecture and raise engineering quality across the organization.

Build AI-powered product features and scalable platform infrastructure for appointment-based businesses. Design, ship, and own production systems processing billions in payments for over 120,000 businesses. Use AI throughout software development, improve system reliability and performance, make architectural decisions, and drive projects from technical design through production.

Own Genius AI’s autonomous account-based marketing and outbound growth engine, including account targeting, segmentation, messaging, channel strategy, sales handoff, budgets, and performance metrics. Lead and expand the growth team, build AI-powered campaign workflows, execute integrated multi-channel campaigns, run A/B tests, and partner with Sales, RevOps, and Product Marketing to drive pipeline.

Drive strategy and operations for new AI products, partnering with the GM across product, go-to-market, and operations. Define target customers, test acquisition and retention strategies, translate market insights into roadmaps, build AI-powered workflows, develop pricing and financial models, evaluate partnerships and integrations, and establish operating rhythms for rapid cross-functional execution.

Build AI-powered product features and scalable platform infrastructure for appointment-based businesses. Design, ship, and own production systems serving over 120,000 businesses and processing billions in payments. Use AI throughout the software development lifecycle, ensure reliability and performance at scale, and drive architectural improvements while collaborating with and supporting other engineers.