Jobs at Horizon Labs

Support the marketing team by creating and promoting content (blogs, newsletters, social posts), using AI tools for creation and analysis, managing social scheduling, conducting keyword and competitor research, tracking performance metrics, and engaging online communities.

Support leadership decision-making by building and maintaining dashboards, defining consistent metrics, documenting metric dictionaries, performing data QA, troubleshooting anomalies, and translating questions into measurable analyses.

Support product discovery and execution across ventures: conduct user research and market analysis, convert insights into requirements and tickets, coordinate design/engineering/growth, use AI tools to accelerate work, track launches, and synthesize learnings to recommend iterations.

Support growth systems by coordinating campaign operations, tracking and reporting experiments, maintaining processes and playbooks, using AI tools to accelerate analysis and documentation, and synthesizing experiment learnings into actionable recommendations.

Prototype and implement AI-enabled workflows and product features; experiment with prompts, model behavior, evaluation methods, and integrations; collaborate cross-functionally to scope and ship solutions; apply structured testing and documentation to improve AI output reliability; research emerging tools, methods, and APIs.

Own end-to-end product initiatives for AI startups: conduct user and market research, define strategy and roadmaps, drive cross-functional execution, establish KPIs, and align stakeholders to deliver impactful products.

Build and maintain application logic, integrations, APIs, and orchestration layers that connect models to product workflows. Collaborate with product and operations to deliver reliable, observable, and maintainable AI-enabled systems while using AI-assisted engineering tools responsibly.

Drive user acquisition, engagement, and retention by designing growth strategies, running multi-channel campaigns, conducting A/B tests, analyzing performance metrics, optimizing funnels, and collaborating with product, engineering, and marketing teams to scale startups.

Support recruitment (job postings, resume screening, interview coordination), onboarding, employee records, and engagement activities. Explore and implement AI-assisted HR tools, assist HR analytics/reporting, update policies, and collaborate across teams.

Lead design, development, testing, deployment, and maintenance of scalable full-stack software. Provide technical leadership, mentor junior engineers, perform code reviews, resolve performance and security issues, collaborate with product and design, and operationalize AI models while improving processes and tooling.

Support operationalizing AI workflows by mapping and improving processes, testing AI tools and orchestration, documenting experiments and playbooks, coordinating with cross-functional teams, and implementing automation to make AI work reliable, repeatable, and scalable.

Lead and improve operational processes across people and process domains. Manage recurring operational tasks, optimize workflows, maintain documentation and reporting, collaborate with stakeholders, and resolve operational risks to ensure program delivery and scalability.

Support product marketing for an AI-enabled healthcare product by developing positioning, messaging, and GTM materials; conduct market, user, and competitor research; use AI tools to accelerate drafting and testing; collaborate with product, growth, and leadership on launches and assets.

Support the Program Lead in people and process operations: scheduling, agendas, meeting notes, SOPs, onboarding, tooling access, backlog tracking, documentation upkeep, and process improvement projects to keep startup operations running smoothly.

Build production-grade AI features and systems: integrate LLMs and vector DBs, implement backend services and data pipelines, design evaluation workflows, improve observability and safety tooling, and collaborate cross-functionally to ship reliable AI-enabled product features.

Support business operations by maintaining trackers, reporting cadences, documentation, and cross-functional coordination. Identify bottlenecks, improve workflows, and prepare concise operational updates. Use AI tools to accelerate analysis, research, and summary writing while ensuring accurate, hand-offable records and reliable process execution.

Design intuitive product experiences by creating user flows, wireframes, mockups, and prototypes. Collaborate with product and engineering, use AI-assisted design tools, incorporate user feedback, and maintain visual and interaction consistency across components.

Work on frontend, backend, and integrations to build, test, and maintain product features. Collaborate with product and design to implement requirements, contribute to debugging and code quality, and integrate AI-assisted tools and services to improve product outcomes.

Support product, growth, and operations teams by defining and tracking key product metrics, writing and iterating SQL queries, validating data, building reports, analyzing experiments and user behavior, and communicating structured recommendations.

Support growth experiments across paid, organic, community, lifecycle, and website channels (notably for Hethena). Use AI tools to accelerate research and creative ideation, set up/QA experiments, analyze performance, synthesize insights, and document repeatable growth playbooks.