Top Tech Jobs & Startup Jobs in NYC, NY

Support execution of large-scale B2B outbound and demand-generation campaigns: build outreach sequences, manage outreach tools, enrich and QA data, maintain outbound infrastructure, coordinate webinar and content syndication operations, research target accounts/ICPs, assist reporting, and apply AI tools to automate workflows.

Develop and execute multi-channel marketing strategies and campaigns to increase brand awareness, generate leads, and drive revenue. Analyze marketing performance data, manage budgets and ROI, collaborate with sales, product, and creative teams, and monitor industry and competitor trends. The role requires marketing automation proficiency and strong analytical, communication, and interpersonal skills.

Develop and optimize digital marketing strategies and campaigns across email, social media, paid advertising, content, and websites. Analyze marketing data, generate insights, manage website and email content, and collaborate with marketing, sales, and product teams to increase brand awareness, leads, and revenue. Stay current with industry trends, marketing technologies, SEO practices, and automation platforms.

Creates engaging content for blogs, articles, social media, and websites; researches industry trends; collaborates with marketing, sales, and product teams; optimizes content for SEO and social platforms; edits and proofreads materials; and meets deadlines in a fast-paced environment.

Reviews videos of robotic arms, identifies key actions and outcomes, and applies detailed grading guidelines to annotate events. Uses video annotation platforms to create structured datasets, collaborates with trainers to resolve ambiguities, documents findings, communicates progress, and participates in quality reviews. Strong attention to detail, organization, communication, and accuracy are essential. Experience with video annotation, AI training, machine learning data preparation, or robotics is preferred.

Build foundational systems for AI models across data modalities, develop agentic systems and specialized models, and implement reinforcement learning and active inference solutions. The role involves hands-on architecture and product development, requiring Python backend expertise, cloud deployment knowledge, DevOps practices, and the ability to contribute across the technical stack in an early-stage startup.

Analyze large healthcare datasets, build and implement quantitative models, perform statistical analyses, ensure data accuracy, collaborate with cross-functional teams, and provide actionable insights to improve healthcare delivery.

Manage end-to-end project delivery for healthcare initiatives: plan timelines, budgets and resources; coordinate cross-functional teams; mitigate risks; communicate status to stakeholders; lead meetings and ensure on-time, quality outcomes.

Drive product strategy and roadmap for healthcare solutions. Collaborate with engineering, design, and marketing to define requirements, launch products, conduct market research, monitor performance, and iterate based on data and stakeholder feedback to deliver customer value.

Oversee global resource planning and allocation across client portfolios, balancing employees and contractors against delivery needs. Lead capacity discussions, resolve conflicts, monitor utilization and forecasts, manage contractor onboarding and compliance, track spend, maintain Kantata data, improve forecasting and time-tracking processes, and drive adoption of operational tools. Build partnerships across delivery, creative, strategy, finance, and operations while mentoring colleagues and supporting workforce operations improvements.

Support B2B lead generation through secondary research to identify target companies and decision-makers, build and maintain a segmented prospect database, support outreach campaigns, ensure CRM discipline and data accuracy, and report findings while receiving mentoring.

Own full-cycle enterprise sales across North America, from outbound prospecting and discovery through technical validation, negotiation, and closing. Build pipeline, land new enterprise customers, develop champions, and expand deployments. Engage engineering executives, collaborate with Field Engineering, Marketing, and Product, provide customer feedback, maintain accurate CRM data, and help develop the enterprise sales playbook for an emerging AI software development category.

Work with clients and technology teams to gather and translate business requirements into technical user stories and solutions, propose process improvements, and communicate effectively with stakeholders. Assist in analytical solution delivery and may write/execute SQL queries.

Design, build, and maintain scalable full-stack applications; collaborate with cross-functional teams; integrate AI and agentic systems to enhance product features; ensure performance, fix bugs, and resolve bottlenecks.