Jobs at Genius AI

Owns major campaign ideas across paid social, video, photography, and brand marketing. Responsibilities include writing concepts, scripts, headlines, and briefs; directing customer-story shoots; building AI-powered creative workflows; connecting campaigns to business goals; iterating quickly; and mentoring designers and editors. The role requires strong art direction, copywriting, performance creative, cross-channel thinking, and campaign leadership.

Lead and grow a lean Applied AI engineering team while personally building agentic systems, prototypes, evaluations, and AI-native tools. Partner across Sales, Marketing, Operations, and Engineering to deliver measurable business outcomes, establish AI quality standards, test emerging models, and hand stable solutions to durable owners. The role requires managing engineers while remaining hands-on, connecting technical work to revenue and efficiency metrics, and creating processes for rapid experimentation and delivery.

Own end-to-end product execution for AI-native experiences, from concept through launch. Shape the roadmap using customer, market, competitive, and business insights; collaborate with Design, Research, Engineering, Marketing, and Analytics; iterate rapidly based on data; and define agentic product experiences that help small businesses automate administrative work.

Design and build Genius AI’s software factory, including CI platforms, deployment tooling, infrastructure-as-code guardrails, observability, alerting, SLOs, and incident-response systems. Lead infrastructure platform direction, enable safe self-service for engineers and AI agents, improve deployment velocity and reliability, review complex technical changes, and mentor engineers. The role requires hands-on expertise with AWS, Kubernetes, Terraform, GitOps, CI/CD at scale, progressive delivery, and internal developer tooling.

Own the architecture and standards of the company’s dbt project, building scalable models across staging, intermediate, and mart layers. Partner with product, design, and engineering teams to evolve data models, validate metrics, and maintain data quality. Develop AI-assisted testing, documentation, and access workflows; collaborate on Segment, Fivetran, and Airflow pipelines; and drive privacy, governance, and warehouse best practices.

Provide personalized customer support by phone, text, email, and social media. Guide business owners through payroll account setup, resolve escalated issues, and build strong customer relationships. Use AI to create support macros, Help Center content, and workflows, while improving processes and supporting customer acquisition, satisfaction, and retention goals.

Owns Genius AI’s webinar program and national trade show initiatives from planning through execution and performance analysis. Responsibilities include managing topics, talent, promotion, budgets, vendors, activation concepts, lead routing, sales partnerships, pipeline results, and AI-powered workflow automation. The role also develops new event formats, monitors performance metrics, and travels domestically 1–3 times monthly while working primarily in person from the NYC headquarters.

Own the vision, governance, and execution of Genius AI’s design system. Build scalable component libraries, design tokens, Figma libraries, documentation, and accessibility standards across mobile and web. Partner with engineering on design-to-development handoff, support a company-wide rebrand, improve tooling with AI workflows, mentor designers, and influence roadmap priorities. The role requires strong product design and systems expertise, advanced Figma skills, cross-functional leadership, and experience scaling production design systems.

Own and evolve Genius AI’s design system, including component libraries, design tokens, Figma libraries, documentation, governance, accessibility, and design-to-development workflows. Partner with engineering, product, and design teams to drive adoption, support a company-wide rebrand, improve tooling with AI-powered workflows, influence roadmap priorities, and mentor designers.

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.

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.

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.

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.

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.