Top Tech Jobs & Startup Jobs in NYC, NY

Leads and scales a global team of Channel Development Managers recruiting new MSP partners and driving partner acquisition revenue. Responsibilities include hiring, coaching, quota and territory management, pipeline and forecast oversight, sales process improvement, cross-functional collaboration with Marketing, Partner Success, Sales Engineering, and RevOps, and executive reporting. The role requires building a metrics-driven sales culture, maintaining Salesforce and CRM discipline, and traveling 25–50% for team ride-alongs and regional events.

Lead TwelveLabs’ application strategy and build AI-native video products from zero to adoption. Own customer discovery, product direction, prototyping, engineering collaboration, launch, growth, monetization, and customer value. Define application evaluations, quality and reliability standards, and requirements for shared models and infrastructure. Recruit and lead a lean team, establish rapid build-measure-learn cycles, partner with customers and cross-functional teams, and develop a repeatable portfolio and distribution strategy.

Develop and support Salesforce integrations connecting internal applications, vendors, and business partners. Build Apex, Lightning Web Components, Flow, and API-based solutions; design error handling, retries, reconciliation, monitoring, and documentation. Own integration delivery from scoping through ongoing support, reduce technical debt, improve performance and testability, and collaborate with technical and business stakeholders. The role supports merchant onboarding, transaction processing, billing, and payment-related workflows.

Full-cycle B2B SaaS Account Executive selling an AI-powered PropTech work OS. Own deals end-to-end, run discovery-based demos, build and manage pipeline, prospect via outbound and industry relationships, sell operational and financial outcomes, maintain forecasts, and surface market feedback to product and leadership.

Write email copy for 5–6 DTC client accounts, coordinate projects and approvals, contribute to retention strategy, format performance reports, and proactively identify blockers. This remote entry-level role requires native Dutch, reliable execution, organized project management, and availability online from 12–5pm CET/CEST. It offers structured progression toward Retention Manager and senior strategy ownership.

Own enterprise accounts in the Central and LTAM regions, generate new-logo business, meet sales quotas, and manage the full sales cycle from prospecting and discovery through pricing, negotiation, and closing. The role includes coordinating product demonstrations with Sales Engineering, partnering with Marketing to generate demand, and selling infrastructure software to enterprise customers.

Conduct vulnerability research and reverse engineering across diverse systems. Perform static and dynamic analysis using disassemblers, debuggers, and fuzzers; develop exploits; document and communicate findings; and mentor security researchers. The role requires expertise in C and assembly, Linux internals, exploitation techniques, Android and Chrome vulnerability research, and the ability to obtain and maintain a TS/SCI clearance.

Lead global logistics network strategy, modeling, and optimization across plants, warehouses, DCs and 3PLs. Own logistics budgets, cost-to-serve analytics, SAP S/4HANA processes, 3PL governance, risk/compliance, and build a high-performing global logistics organization to drive structural cost and service improvements.

Manage a large portfolio of SMB SaaS customers, serving as the primary contact and driving adoption, retention, renewals, and expansion. Build customer relationships, identify churn risks, resolve issues with internal teams, and use customer data, usage analytics, and AI-driven tools to improve outcomes. Collaborate cross-functionally with sales, marketing, product, and support while developing customer advocacy through testimonials and case studies.

Design, build, deploy, and operationalize scalable data engineering solutions for customers. Responsibilities include developing pipelines, transforming and cleansing data, analyzing sources, implementing governance, security, and quality practices, testing data movement and transformation code, resolving defects and incidents, and advising customers on technical decisions. The role also supports AI, machine learning, business intelligence, and data product adoption while collaborating across teams and educating end users.