Top Tech Jobs & Startup Jobs

Provides executive and personal support to the CEO while managing office operations, vendors, facilities, onboarding, policies, budgets, events, and employee experience initiatives. The role requires discretion, strong organization, proactive problem-solving, flexibility, and responsiveness in a fast-paced startup environment.

Lead a six-person engineering team responsible for scalable production data pipelines and an agentic AI system that generates webpage extraction templates. Own architecture, delivery, scalability, cost, stability, and platform interfaces while remaining hands-on. Mentor engineers, improve AI capability and evaluation, make build-versus-buy decisions, partner with product and customers, and manage hiring and team health.

Manage a portfolio of enterprise customers to drive adoption, retention, and expansion. Build relationships with technical and executive stakeholders, run QBRs, monitor health signals, mitigate risks, influence product roadmap, and build enterprise business cases demonstrating ROI for Nimble's web search agent platform.

Support an enterprise sales pod by researching target accounts, identifying stakeholders, executing AI-assisted multichannel outbound, booking qualified meetings, and creating pipeline. Build AI agents, workflows, automations, dashboards, and GTM assets that improve research, personalization, prioritization, follow-up, and deal progression. Partner closely with account executives on stakeholder mapping, multi-threading, opportunity advancement, and ARR generation.

Own day-to-day New York office operations, including vendors, payments, invoices, inventory, mail, equipment, maintenance, travel coordination, onboarding, employee milestones, and workplace experience. Plan company offsites, sales kickoffs, team activities, and other events while improving office processes and supporting a welcoming, well-organized culture. This is a 50% part-time, on-site role working Mondays, Tuesdays, and Thursdays.

Lead consultative discovery, solution architecture, technical demonstrations, POCs, and solution design workshops for enterprise customers. Translate customer challenges into API, Python, data, and AI-focused solutions while advising stakeholders from executives to engineers. Collaborate with Sales, Product, Engineering, Marketing, and Customer Success to support sales cycles, adoption, expansion, proposals, reusable technical assets, and implementation readiness.

Lead technical pre-sales engagements: discover customer needs, design and present API- and Python-based solutions, run demos/POCs, create proposals and reusable demo assets, and collaborate across Sales, Product, and Engineering to drive adoption and expansion.

Manage a portfolio of enterprise customers to drive adoption, retention, and expansion. Build executive relationships across data, engineering, product and BI; run QBRs; monitor customer health signals; escalate product gaps to engineering; and identify growth opportunities to maximize platform value.

Hunt and close new enterprise logos and expansions for a real-time web intelligence platform. Own full sales cycle, manage POCs, maintain Salesforce, meet quotas, and travel occasionally for customer meetings and events.

Manage a portfolio of enterprise customers to drive adoption, retention, renewals, and expansion. Build stakeholder relationships across data, engineering, product, and BI. Run QBRs/EBRs, monitor customer health, mitigate risks, influence product roadmap, and translate technical capabilities into measurable business value.