Top Tech Jobs & Startup Jobs

Own technical sourcing strategy for AI, machine learning, research, software engineering, product, and related roles. Build market maps and talent pipelines, engage passive candidates through recruiting platforms and technical communities, personalize outreach, assess candidate fit, track sourcing analytics, and improve recruiting tools and workflows. Partner with recruiters and hiring managers while establishing the company’s first dedicated technical sourcing function.

Design and own mechanical robotic subsystems from concept through prototyping, testing, iteration, and production. Responsibilities include CAD modeling, material and tolerance selection, design for manufacturability, hands-on prototype fabrication using 3D printing and CNC machining, and integration of motors, sensors, electronics, and actuators into robotic arms and mobile bases. The role requires close collaboration with hardware teams to develop reliable systems for data center operations.

Lead complex enterprise AI engagements from discovery through deployment, adoption, and expansion. Partner with C-suite stakeholders to define problems, build ROI-driven business cases, and create customer roadmaps. Own strategic and commercial outcomes while collaborating with forward-deployed engineers on technical delivery. Translate customer insights to product and engineering teams, and build repeatable deployment playbooks for a new Applied AI function.

Own strategic OEM relationships through complex hardware product-development cycles from technical qualification to production. Coordinate engineering, product, operations, manufacturing, and supply-chain teams; lead design reviews, milestones, manufacturing readiness, and risk management. Translate partner priorities into internal actions, communicate technical tradeoffs, advocate for customer needs, and help establish processes for a new account-management function.

Founding Engineer responsible for owning a core product domain, making product decisions with founders and customers, and shipping production features end to end. The role involves building multimodal voice, SMS, and email agents, agent memory and state systems, evaluation and guardrail infrastructure, and full-stack applications using React, Next.js, Node.js, and Python. The engineer will work directly with customers, make roadmap tradeoffs, and contribute in a fast-paced, in-person startup environment.

Own the agentic product portfolio’s strategy, vision, roadmap, discovery, and execution. Partner with founders, engineering, commercial leaders, and enterprise customers to align product direction with revenue goals and technical feasibility. Prioritize market opportunities, pricing, specifications, and delivery; lead expansion into healthcare and retail; and prototype concepts using AI coding agents. The role requires substantial customer engagement and hands-on leadership in an early-stage startup.

Build and operate production API integrations, data pipelines, and backend systems using Python and workflow orchestration tools. Own projects from requirements through testing, rollout, and monitoring; investigate production issues and improve reliability. Collaborate with senior and forward-deployed engineers to turn customer insights into product capabilities. The role is hybrid, requiring three days weekly in the Midtown Manhattan office.

Build and own the backend platform for creating, monitoring, optimizing, deploying, and operating autonomous AI agents. Develop production agent implementations, design product features, package software for customer-controlled environments, and make architecture decisions across infrastructure, workflow orchestration, and reliability. The role requires hands-on enterprise deployments, independent problem solving, and onsite work in San Francisco five to six days weekly.

Build the fintech company’s MVP end to end across web, mobile, backend, data, infrastructure, and AI agents. Own architecture, cloud, security, observability, regulated money movement integrations, and compliance guardrails. Establish engineering standards, coordinate contract engineers, and ship reliable production systems quickly. The role begins as the first technical hire with a path toward technical leadership.

Own customer-facing computer vision deployments from proof of concept through production adoption and maintenance. Build data pipelines, edge-device systems, models, and infrastructure using Python, Docker, Kubernetes, Linux, NVIDIA Jetson, and MLOps. Troubleshoot physical-environment challenges such as lighting, calibration, model drift, networking, and hardware constraints. Work onsite with customers, communicate with technical and executive stakeholders, document architectures, and relay field insights to Product and Engineering. The role requires 40%–50% travel.