Top Tech Jobs & Startup Jobs

Build and evolve AWS platform infrastructure, Terraform and Pulumi automation, internal developer tooling, TypeScript libraries, CI/CD pipelines, and ephemeral environments. Improve reliability through SLOs, error budgets, observability, autoscaling, and incident response while addressing performance challenges across Aurora PostgreSQL and distributed services. Partner with product engineers, document complex systems, and raise engineering standards.

Coordinates candidates across recruiters, hiring managers, and search firms while maintaining accurate ATS records and feedback. Reviews inbound applicants, supports scheduling and in-office candidate experiences, and assists with office coordination. Builds repeatable recruiting processes and documentation for a rapidly scaling company. The role requires strong organization, polished communication, discretion, adaptability, and experience in recruiting coordination, recruiting operations, or people operations.

Build the company’s go-to-market engine from scratch for an AI platform serving property insurers and MGAs. Define the ideal customer profile, execute targeted outbound, develop conference and warm-channel relationships, lead complex enterprise sales through pilots and procurement, establish GTM infrastructure and metrics, and relay customer feedback to the founding team.

Own an end-to-end healthcare-finance product vertical, including product strategy, roadmap, agentic AI workflows, customer discovery, prototyping, adoption, commercial outcomes, and realized customer value. Partner with engineering and go-to-market teams, engage healthcare executives, validate concepts, define quality standards, and build a team around the product as the company scales.

Build geometry and data pipelines for CAD parsing, format conversion, feature extraction, and quality verification. Develop evaluation harnesses, internal tooling, and machine learning training infrastructure. Debug experiments, instrument systems, analyze results, and collaborate across machine learning, geometry, graphics, and data systems. The role begins with scoped projects and expands toward broader technical ownership.

Build and ship the company’s second major AI product across backend APIs, dashboards, and developer experience. Work directly with founders and customers to identify problems, prioritize features, and translate feedback into production software. The role requires ownership of ambiguous problems, rapid execution, and close collaboration in a high-growth startup environment.

Lead discovery and workflow analysis for AI venture builds. Interview stakeholders, map business processes, prioritize AI use cases, and translate findings into product specifications, acceptance criteria, data contracts, and evaluation frameworks. Support demos, training, adoption, feedback loops, and decision tracking while collaborating with executives, operators, and engineering teams.

Build and deploy full-stack applied-AI products within acquired engineering firms. Own the complete product lifecycle from customer discovery through production iteration, translate ambiguous operator needs into software decisions, lead working sessions with nontechnical users, develop reusable platform capabilities, and mentor junior engineers. The role is on-site in New York with frequent acquisition-related travel, especially during the first 100 days after acquisitions.

Own and evolve the company’s visual identity across web, campaigns, social, sales collateral, events, and merchandise. Translate complex voice AI concepts into clear diagrams, illustrations, and marketing graphics. Build scalable brand systems, templates, and standards while partnering with product, marketing, and executive teams. Execute hands-on across digital, print, and experiential media with limited direction and high craft.

Own end-to-end data platform architecture across ingestion, transformation, modeling, and serving. Improve warehouse efficiency, access control, reliability, observability, orchestration, CI/CD, and developer experience. Lead cross-functional technical initiatives, build monitoring and alerting, mentor engineers, guide architectural decisions, and develop AI-powered data tooling. The role requires strong SQL and Python skills, production experience with Airflow, BigQuery, and containerized infrastructure, plus architectural ownership and stakeholder communication.