Top Tech Jobs & Startup Jobs

Support the CEO with calendar, inbox, scheduling, travel, personal appointments, errands, administrative paperwork, office coordination, meeting preparation, and follow-up actions. The role also manages supplies, catering, team events, leadership projects, and executive priorities, requiring discretion, proactive organization, strong communication, and comfort in a fast-paced startup environment.

Partner with enterprise sales teams to lead technical discovery, solution design, product demonstrations, API integration scoping, and implementation handoffs. The role requires translating customer needs into product feedback, resolving technical issues, and explaining complex concepts in business terms while supporting B2B SaaS or API sales.

Develop embedded firmware for motor control and real-time robotic systems. Responsibilities include building microcontroller and embedded Linux firmware, implementing real-time behavior, debugging low-level communications, bringing up circuit boards, integrating electromechanical hardware, and connecting firmware to robot communication frameworks. The role requires laboratory-based hardware debugging and collaboration with hardware teams on integration and testing.

Own the customer-to-product process for a healthcare software startup. Translate health-system customer needs into shipped products, prioritize with leadership and engineering, build prototypes, shape user-facing and backend capabilities, manage integrations, and establish product analytics. The role requires broad ownership, technical fluency, strong executive communication, and experience in early-stage health technology environments.

Reviews regulatory analyses, permitting matrices, and due-diligence deliverables; researches and structures local, state, and federal requirements; validates AI-generated findings and citations; develops prompts and decision logic linking geographic data to regulations; and translates research into platform improvements. The role requires strong writing, sustained accuracy, independent work, and effective use of AI research tools. Legal-adjacent, graduate training, GIS, structured-data, and QA experience are advantageous.

Build reusable backend, AI product infrastructure, production AI workflows, and cloud systems for an industrial software platform. Own areas such as agent execution, extraction pipelines, integrations, or evaluation systems; consolidate customer-specific implementations into reusable services; and partner with customer-facing engineers on new capabilities. The role is fully onsite in New York and includes customer facility visits approximately four to six days per month.

Build the founding account management function for a B2B software company. Own customer renewals, retention, expansion, adoption, account planning, and churn-risk identification. Develop repeatable post-sales processes, dashboards, and automations; manage customer check-ins, negotiate renewals and upsells, and represent customer needs in product roadmap discussions. The role requires managing many accounts, working with senior stakeholders, and operating independently in an early-stage startup.

Build and ship software tailored to customer needs, resolve critical problems, develop integrations and workflows for deployments, and translate ambiguous requests into technical specifications. The role combines backend or full-stack engineering with direct customer collaboration, requiring communication with users, executives, sales, product, and engineering teams. The position is office-based in New York City four days per week, with customer onsite work as needed.

Own technical delivery for key customers while spending approximately 60% of the time coding and 40% on customer engagement. Responsibilities include triaging issues, shipping production fixes, developing backend and product expertise, discovering customer needs, improving the core product, supporting demonstrations and events, and communicating independently on ambiguous work.

Own sales representative performance and growth by coaching reps, analyzing performance data, creating talk tracks and training materials, and building repeatable coaching processes. Partner with engineers on AI-powered coaching tools, review meeting quality and volume, and identify pipeline opportunities as the marketplace expands. The role requires hands-on cold-calling experience, sales coaching expertise, and comfort operating in an early-stage, distributed environment.