Top Tech Jobs & Startup Jobs

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 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.

Own an end-to-end B2B SaaS product area, from customer discovery and strategy through roadmap, delivery, launch, and iteration. Partner with mortgage lenders, engineers, designers, Sales, and Customer Success to identify problems, define specifications, influence architecture, integrate third-party APIs, prototype with AI tools, and use metrics to guide decisions. This is an individual-contributor role requiring technical fluency and zero-to-one product launch experience.

Work directly with both founders to execute strategic initiatives across go-to-market, product, recruiting, and operations. Build and scale outbound and GTM systems, translate founder and customer insights into action, lead cross-functional special projects, create repeatable processes, and use AI tools and automation to increase team leverage.

Research Product Manager focused on AI model capabilities, evaluations, experiments, and synthetic-data programs. The role partners with frontier AI researchers to identify capability gaps, design benchmarks, conduct literature reviews, implement state-of-the-art research, and manage short-term projects through weekly data releases. Candidates will translate ambiguous technical requests into research plans, coordinate researchers and external contributors, and deliver end-to-end technical projects in an on-site, early-stage environment.

Lead discovery, design, launch, and expansion of AI agent deployments for enterprise customers. Manage 1–3 strategic accounts, translate operational workflows into AI agent designs, coordinate with delivery engineers, support go-live, and build executive relationships. The role requires enterprise software implementation experience, technical comfort with LLM APIs and data tools, strong communication, 30% travel, and a five-day onsite schedule.