Top Tech Jobs & Startup Jobs in NYC, NY

Work directly with the Chief of Staff and leadership to define and lead high-impact strategic initiatives end-to-end. Conduct quantitative and qualitative analyses (CLV, cohort, pricing, forecasting), develop recommendations and implementation plans, and drive execution across commercial, product, retention, pricing, channel, and organizational scaling priorities.

Owns the firm's investment risk process for a concentrated global public-markets book. Responsibilities include mapping positions and exposures, monitoring thesis consistency, identifying stale or contradictory positions, developing scenario and exposure views, assessing counterparty and operational risk, specifying risk data requirements, and producing a daily decision-ready risk note. This individual contributor role works directly with the principal, trading desk, and technology team in a remote, US-market-hours environment.

Own commercial relationships across a global partner portfolio, driving renewals, upselling, cross-selling, partner acquisition, enablement, joint selling, business reviews, pipeline management, and forecasting. The role collaborates with technical customer success, Product, Engineering, and channel leadership while representing partner needs internally. Success is measured by revenue growth, partner engagement, retention, adoption, and pipeline contribution.

Leads federal contract capture efforts from opportunity identification through award and transition. Develops capture plans, win strategies, competitive assessments, pricing and teaming strategies, and customer engagement plans. Builds qualified pipelines, shapes opportunities before solicitation, manages capture reviews and CRM updates, and develops relationships with government customers, partners, and industry stakeholders. Collaborates with executives, technical teams, and proposal leadership to position the company for growth across federal markets.

The Senior Business Development Representative will generate enterprise sales pipeline through account research, lead identification, outbound calls, emails, and social outreach. The role qualifies opportunities, maintains accurate Salesforce records, represents Rasa’s AI platform, collaborates with sales and marketing teams, and works toward exceeding quotas. This fully remote position requires strong communication, organization, customer empathy, autonomy, and comfort working in a fast-paced startup environment.

Own the roadmap and ongoing development of EMA’s Trellis case management platform and two potential new products. Responsibilities include discovery, requirements, user stories, prioritization, 0-to-1 product launches, AI-assisted prototyping, SaaS and systems support, ticket triage, vendor coordination, documentation, and training. The role balances approximately 40% product management and 60% direct platform and technology support.

Conduct outbound sales to US technology leaders through cold calls, email, LinkedIn, conferences, and personalized prospecting sequences. Own the pipeline through qualified meeting booking, build targeted prospect lists, maintain CRM records, and hand prospects to the partnerships director. The role also involves developing a professional LinkedIn presence, testing messaging and channels, and selling custom software development services to technical buyers.

Localize English video content into Italian by adapting translations for dubbing, selecting voice casts, using emerging voice technologies, managing production and quality control, and performing preliminary audio/video post-editing to improve synchronization.

Owns lifecycle and engagement marketing for health benefits members across email, SMS, direct mail, print, digital, landing pages, and inbound flows. Builds segmentation, campaigns, testing programs, client engagement playbooks, and compliant Medicare communications. Manages engagement and enrollment funnels, marketing automation, CRM data flows, dashboards, and collaboration with agents, Customer Success, design, and product teams.

Train and deploy manipulation policies for humanoid robots using teleoperation data. Responsibilities include VLA and imitation-learning model training, cross-embodiment foundation-model development, distributed training, evaluation through simulation and real-robot trials, dataset quality tooling, policy deployment, and failure analysis.