Top Tech Jobs & Startup Jobs in NYC, NY

Manage a portfolio of mid-market and enterprise accounts to drive adoption, retention, and value. Lead QBRs and success planning, monitor account health, mitigate risks, resolve escalations, influence renewals/expansions, and provide customer feedback to Product and cross-functional teams.

Drive new logo acquisition and expansion within ~20 Fortune/Global 500 accounts in NYC. Own full sales cycle from prospecting to contract and renewals, build pipeline, quantify ROI, maintain accurate CRM data, collaborate with SEs, CS, product and marketing, and document customer insights to enable team learning.

Lead annual planning, forecasting, and CFO reporting across P&L, balance sheet, and cash flow. Build driver-based models, scenario analysis, and AI-enabled automation in FP&A. Manage a small team, partner with Accounting/Tax/Legal for SOX and IPO readiness, and produce board and investor materials.

Provide L1 technical support for enterprise customers using Abnormal's email and SaaS security products. Own inbound tickets, troubleshoot integrations and APIs, analyze logs, deliver updates and root-cause findings, collaborate with Engineering and Customer Success, and produce knowledge-base content to improve self-service and product quality.

Build, operate, and scale tier-0 backend services that ingest and process billions of emails daily. Design and deliver backend features, improve system stability, performance, and scalability, collaborate across R&D, participate in on-call rotations, and drive operational excellence and knowledge sharing.

As a Machine Learning Engineer, you'll design and implement detection systems, enhance model efficacy, and analyze datasets to improve email detection against security threats.

Build and operate secure, automated employee platform capabilities across identity, endpoints, SaaS, and collaboration. Develop automations for joiner/mover/leaver flows, device provisioning, access controls, and self-service. Integrate systems via APIs/webhooks, add telemetry and runbooks, participate in incident response and root cause analysis, and collaborate with Security, GRC, People, and IT partners to improve reliability and employee experience.

Lead end-to-end delivery of high-impact AI Platform and Data Systems programs: define scope, plan milestones, track dependencies, manage risks, align executives, use AI to automate program workflows, and drive continuous improvement across cross-functional engineering teams.

Serve as the technical authority in mid-market enterprise sales cycles for email and identity security: run technical discovery, lead architecture-level discussions, conduct demos and POVs, articulate value, handle technical objections, and drive successful customer outcomes.

Support revenue teams by onboarding new hires, owning sales reporting and territory operations, maintaining Salesforce hygiene, tracking SPIFFs, and identifying automation opportunities to streamline sales processes.