Top Tech Jobs & Startup Jobs

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 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.

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 the company’s security engineering program across AWS infrastructure, Kubernetes, application security, vulnerability management, penetration testing, bug bounty operations, and compliance support. Harden cloud and application environments, identify and remediate security gaps, partner with engineers on secure designs and code fixes, and improve monitoring, incident readiness, secrets management, and defense in depth.

Build and operate high-scale backend services, APIs, and data systems using Java and Go. Design distributed systems supporting routing, optimization, automation, reliability, and operational scalability. Make architectural decisions, contribute to technical roadmaps, implement monitoring and observability, and partner with cross-functional teams. The role also includes testing, production safeguards, code reviews, mentoring, and sustained ownership of durable software systems.

Own the project-delivery organization for a fast-growing AI data and market-research marketplace. Oversee concurrent projects, optimize resource allocation and expert workflows, advise clients on delivery design, use operational data to improve fulfillment, grow client accounts, and scale a hands-on project team from seven to more than 20 people.

Design and build backend systems for finance and accounting modules within an AI-native ERP platform. Responsibilities include modeling invoicing, payments, and financial reporting data; developing Python and FastAPI services with PostgreSQL; building integration APIs; aggregating operational and financial data; and owning greenfield features from design through deployment. The engineer will primarily own backend systems while contributing to React frontend development as needed.