Jobs at Genius AI

Lead a platform engineering team responsible for tier-zero systems, identity, permissions, sessions, and messaging infrastructure. Own delivery, quality, architecture, technical debt, and team development while partnering with Product, Design, and Recruiting. Embed AI tooling into engineering workflows and build AI-powered automation to improve productivity. The role also involves hiring, mentoring engineers, making architectural decisions, and connecting platform outcomes to customer value.

Own end-to-end onboarding for high-revenue customers, partnering with Account Executives and internal teams to guide data migration, payments setup, website configuration, team permissions, and product enablement. Serve as the primary customer contact, manage timelines and risks, conduct walkthroughs, resolve technical issues, document progress in CRM tools, and share feedback to improve onboarding processes.

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.

Own the technical direction of the web platform, including shared UI frameworks, component libraries, frontend tooling, build pipelines, and developer workflows. Establish frontend architecture, performance, accessibility, and design-system standards while promoting AI-assisted development practices across engineering. Identify systemic issues, drive cross-team solutions, and partner with product, design, and engineering stakeholders to improve web quality and delivery velocity.

Own strategy and execution for onboarding, retention, and expansion of a larger customer segment. Build the Customer Success operating model, analytics layer, capacity plans, and AI-powered workflows. Evaluate initiative economics, run lifecycle experiments, translate data into recommendations, and align Sales, Product, Marketing, and Finance. As the function matures, lead additional high-priority strategic initiatives across the business.

Lead branding, visual design, art direction, motion, video, web, performance, event, and campaign projects. Create scalable visual identity systems, develop high-quality digital and physical assets, integrate AI-powered design tools, and collaborate cross-functionally to deliver cohesive creative. Mentor designers, maintain exceptional visual craft, and shape the company’s brand across technology, beauty, and wellness contexts.

Own day-to-day HR partnership for Marketing, Customer Experience, Data, and G&A teams. Manage performance and employee relations cases, coach managers, lead workshops, advise on organizational design, analyze people trends, identify organizational risks, and contribute to talent reviews and broader People initiatives. Use AI to streamline workflows and support people analytics, engagement insights, and workforce planning.

Lead the architecture and technical direction of AI-powered, 0-to-1 products. Integrate LLMs into reliable, customer-facing production systems; build proof-of-concepts; make high-impact architectural decisions; and translate ambiguous goals into executable roadmaps. The role is approximately 60% architecture, planning, and technical leadership and 40% hands-on backend development. It also involves resolving technical debt, unblocking engineers, and collaborating with Product, Design, and Engineering leadership.

Leads engineering execution across multiple teams, sets technical direction, drives 0-to-1 product initiatives, embeds AI tooling into development workflows, and develops future engineering leaders. Partners with product, design, and recruiting to deliver high-quality software, make architectural decisions, scale platform capabilities, and connect engineering outcomes to customer and business results. This is a hybrid role requiring commutability to the NYC headquarters and in-office attendance three to four days weekly.

Lead Compute, Data, and DevEx teams while owning infrastructure and data-platform roadmaps, reliability, cloud costs, vendor strategy, and developer self-service. Establish SLI/SLO practices, incident response, post-mortems, CI standards, infrastructure-as-code tooling, and AI-enabled production operations. Manage managers and technical leads, scale the organization, develop engineers, and ensure systems support significantly higher traffic while maintaining 99.95% uptime across AWS regions.

Build AI-powered product features and scalable platform infrastructure for appointment-based businesses. Engineers own work end to end, from technical design through production, while using AI to architect, debug, write, and review code. The role emphasizes system reliability, performance at scale, entrepreneurial ownership, rapid iteration, and collaboration. Candidates must be commutable to the New York City headquarters and work onsite three to four days per week.