Top Tech Jobs & Startup Jobs in NYC, NY

The Proposals Manager leads the proposal lifecycle, collaborates with teams to develop strategies, creates pricing models, and manages internal reviews for submissions.

Design, implement, and operate secure, scalable multi-cloud infrastructure (Azure/AWS) with IaC (Terraform), managed Kubernetes, containers, and AI platform support. Lead complex projects, define operational processes, ensure security/compliance, mentor teammates, and maintain observability for production systems.

Lead and grow strategic non-acute accounts by driving sales growth, enterprise contracting, pricing strategy, cross-functional alignment, executive-level relationship management, and project execution to meet revenue targets.

Lead the Intelligence product pillar, owning roadmap and delivery for Topics, Sentiment, CX Score, and profiles. Ship early value, define monetization and conversion, coordinate cross-pillar interfaces, partner with data and gateway teams, engage customers, and work with GTM on messaging for a net-new data product in Help Scout's Understand tier.

Own and execute B2B social strategy across LinkedIn, YouTube, and X. Manage company channels, executive personal brands, employee advocacy, and influencer relationships. Write on-brand copy, direct visual and video production, run event coverage playbooks, contribute to omnichannel campaigns, monitor market trends, and measure social KPIs to drive brand and pipeline.

The Sr. Financial Analyst will drive financial planning and analysis, manage budgets, and support strategic decisions as a finance business partner.

Lead and transform Sales Support and Account Management into proactive, revenue-generating partners. Drive retention, upsell/cross-sell growth, broker relationships, operational excellence, talent development, and change management to scale the Employee Benefits business.

Partner with enterprise customers to design, build, and deploy production AI applications, LLM-powered systems, agents, and integrations. Lead POCs to production, manage full lifecycle from discovery through adoption, and act as a technical advisor to deliver measurable outcomes.

Lead the lifecycle of data products: define roadmap, prioritize features in Azure DevOps, engage stakeholders and vendors, champion data quality and literacy, enable development teams, and balance near-term value with long-term scalability.

Lead development of the Context Layer and Deep Reasoning Agent for an autonomous marketing platform. Define structured intelligence architecture, prototype with frontier models, design evaluation frameworks, and drive cross-functional alignment to ship production-grade AI features and improve model behavior and data structures end-to-end.