Top Tech Jobs & Startup Jobs in NYC, NY

Lead product vision, strategy, and roadmap development for Litmos learning platform capabilities. Partner with engineering, design, QA, product marketing, operations, and customers to define requirements, prioritize features, establish success metrics, support go-to-market activities, and deliver high-quality user experiences. Conduct market research, analyze user feedback and data, and ensure platform capabilities meet learning, accessibility, mobile, content, and industry standards.

Designs and delivers end-to-end Dynamics 365 CE and Power Platform solutions for clients. Responsibilities include Dataverse architecture, data and security models, environment strategies, plugins, integrations, workflows, customizations, Power Pages, technical workshops, risk mitigation, post-go-live support, sales scoping, and developer mentoring. The role also involves architecture leadership across multiple engagements and participation in Microsoft ecosystem events.

Creates research-driven B2B marketing, sales, and customer-facing content for a renewable energy software platform. Responsibilities include writing blogs, case studies, reports, whitepapers, supplier content, slide decks, and trend analyses; interviewing subject matter experts; simplifying technical and data-heavy topics; collaborating with sourcing, engineering, product marketing, design, and SEO teams; and optimizing content performance.

Fractional Revenue Operations Manager responsible for daily sales operations and a major GTM systems transformation. The role includes migrating Zoho CRM to Odoo, building AWS Partner Central ACE and CPPO integrations, automating lead routing and renewal workflows, supporting cloud marketplace sales, and developing executive revenue dashboards. The engagement is capped at 15 hours weekly and requires independent execution, CRM migration expertise, REST API and webhook knowledge, and B2B SaaS RevOps experience.

Build and deploy AI-driven process optimization models for refineries and petrochemical plants. Scope customer opportunities, analyze plant time-series data, develop and validate process models, commission closed-loop optimizers, train operators, troubleshoot deployed models, and support plant-system integrations. The role also leads technical customer relationships, manages implementation projects, documents workflows, and channels field feedback to product and R&D teams.

Lead product marketing for AIStor: define positioning and messaging, build launch and solutions content, enable sales with competitive battlecards and technical assets, and coordinate cross-functionally to drive pipeline for enterprise AI storage.

Lead product marketing strategy for a cloud-native endpoint management platform. Own positioning, messaging, launches, competitive intelligence, pricing and packaging, analyst relations, sales enablement, and partner marketing. Manage and coach a product marketing team while partnering with Product, Sales, Customer Success, Finance, and Marketing to drive differentiated narratives, pipeline, adoption, and monetization.

Serve as the technical liaison between customers and engineering teams. Guide customer development teams through onboarding, product demonstrations, implementation architecture, troubleshooting, and feature requests. Provide technical support, debug integrations, recommend solutions, create documentation, manage escalations, and communicate customer feedback to product and engineering. The role requires software development or technical support experience, programming knowledge, strong communication, and the ability to explain complex technical concepts to technical and non-technical audiences.

Manage multi-state certified payroll operations and prevailing wage compliance for construction and public works projects. Prepare and file weekly Certified Payroll Reports, interpret federal and state wage determinations, calculate fringe benefits and union dues, review subcontractor payroll records, and resolve discrepancies. Serve as the primary contact for labor audits, agency inquiries, and compliance reporting while maintaining audit readiness.

Develop and deploy AI solutions from problem framing through production. Responsibilities include identifying AI opportunities, leading MVP development, building data pipelines, experimenting with generative LLMs, fine-tuning NLP models, and delivering scalable features. The intern will collaborate cross-functionally, communicate technical impact to business audiences, and work with cloud platforms such as AWS or Google Cloud.