Top Tech Jobs & Startup Jobs

Lead design and delivery of full-stack basketball scoring, statistics, and postgame features. Build scalable backend services and APIs with TypeScript and Node.js, develop React web experiences, support iOS and Android products, and make architectural decisions. Collaborate across product, design, and engineering teams, ensure code quality and system reliability, mentor peers, and contribute to technical standards and tools.

Lead a team of software engineers building and scaling Spark’s broker productivity platform. Responsibilities include architecting full-stack solutions, guiding technical direction, reviewing code, managing infrastructure priorities, coordinating product planning, sequencing projects, coaching engineers, hiring, and ensuring reliable, high-quality delivery. The role balances hands-on engineering with people management and is fully remote within the United States.

Manage AI and machine learning products for materials science, including customer demonstrations, roadmap planning, product expansion, ML model development, and leadership of the materials science ML team. The role requires deep expertise in materials science and ML, software-industry experience, customer engagement, public presentations, and global travel.

Lead integrated B2B SaaS marketing campaigns across webinars, email nurture, digital content, events, field activation, and ABM. Orchestrate campaign strategy and execution across the buyer journey, partner with Sales and Customer Success, manage marketing calendars and budgets, and use account and intent data to improve pipeline impact and conversion.

Execute and support end-to-end live field test events for an autonomous defense system: setup, troubleshooting across hardware and software, collect and report test data, develop repeatable test procedures, and communicate findings to engineering and program teams under strict safety protocols.

Build and operate production AI systems for FDA regulatory intelligence, including evaluation pipelines, document ingestion and retrieval, multi-agent workflows, data pipelines, cloud infrastructure, and secure multi-tenant services. Collaborate with former FDA experts to translate domain judgment into product requirements and evaluation cases. Own architecture, reliability, observability, cost, security, and rapid 0-to-1 delivery across the stack.

The Director of Revenue Operations will lead revenue planning, forecasting, pipeline management, CRM architecture, GTM systems, reporting, and cross-functional processes. The role oversees a three-person Revenue Operations, Enablement, and GTM Engineering team, supports Sales, Marketing, Customer Success, and Account Management, and builds scalable systems for qualification, routing, renewals, retention, expansion, and growth. This is an in-person leadership role based in SoHo, New York City.

Own global demand generation for a target industry sector, developing full-funnel campaigns, ABM programs, nurture tracks, field events, and executive roundtables. Manage channel selection and budgets, convert product marketing use cases into campaign assets, report on MQL, SQL, and pipeline performance, optimize campaigns, and align closely with Sales, BDR, RevOps, and Product Marketing teams.

Serve as a technical sales partner for mid-market and enterprise accounts. Lead strategic deal support, tailored product demonstrations, HRIS integration architecture, API and SFTP scoping, proof-of-concept configuration, security questionnaire responses, and technical closing. Create sales enablement content, provide market intelligence, influence product direction, and translate HR requirements into technical solutions. Collaborate closely with Account Executives while using tools such as Postman, Salesforce, Gong, and AI platforms.

Build and own production agent systems, including orchestration loops, tool use, retrieval-augmented generation, evaluation gates, and MCP servers. Design reliable control flow with retries, timeouts, state management, grounding, and failure recovery. Develop regression corpora and judge-based gates to determine whether agent-generated code and content can ship safely. Maintain APIs under malformed or hostile inputs and evolving system rules while delivering both architecture and deployed code.