Top Tech Jobs & Startup Jobs in NYC, NY

Leads GumGum’s product and solutions marketing function, shaping go-to-market strategy, positioning, launches, portfolio messaging, vertical campaigns, case studies, sales enablement, and training. Partners with Product, Sales, Client Services, and Marketing leadership while managing and developing an established team of marketers. Translates complex advertising technology into compelling commercial solutions and influences product roadmaps through market feedback and competitive intelligence.

Software Engineering interns contribute to production features, applications, APIs, services, data ingestion pipelines, and machine-learning-enabled products. They participate in code reviews, deployment, observability, infrastructure as code, and production-readiness practices while collaborating with experienced engineers. Interns work in person from the Cambridge headquarters or New York City office and receive opportunities for technical learning, exploration, and cross-team development.

Leads an analytics engineering team responsible for scalable, governed data models, semantic layers, BI frameworks, and self-service analytics. Owns the dbt, Snowflake, and Looker ecosystem; establishes standards for data modeling, testing, documentation, metrics, and governance. Partners with technical and business stakeholders to translate requirements into data products, present insights to executives, and deliver reliable analytics assets. Manages resources, mentors team members, drives project delivery, and ensures data quality, compliance, and consistency across reporting tools.

Perform outbound prospecting and account-based development to generate pipeline for enterprise creative customers. Research target accounts, execute multi-channel outreach, create personalized messaging, map stakeholders, and book qualified meetings. Maintain CRM hygiene in Salesforce, track forecasting, and collaborate with AEs, Marketing, and RevOps to meet monthly and quarterly targets.

The Account Director will build and manage enterprise sales pipelines through outbound, BDR, and inbound channels. Responsibilities include developing outbound strategies, managing complex sales cycles, conducting discovery and product demonstrations, negotiating pricing, closing high-value deals, and building strategic customer relationships that support adoption, retention, and expansion. The role also gathers customer feedback, collaborates cross-functionally, and represents the company at networking events and industry forums.

Lead product marketing for an AI-first compliance platform: own messaging and positioning across industries, build ICPs and personas, create sales enablement, run customer insight conversations, lead GTM for launches, and partner with content, social, events, and web to keep the story consistent.

Own the post-sale customer lifecycle for a portfolio of B2B SaaS customers, including onboarding, adoption, retention, expansion, and churn mitigation. Build trusted relationships with Operations and Finance stakeholders, provide purchasing and payments guidance, drive revenue and net retention, monitor support risks, and translate customer feedback into product improvements. Collaborate cross-functionally to identify strategic opportunities and strengthen customer advocacy.

Drive new OMS and EMS business by prospecting, managing full sales cycles, conducting demonstrations, and leading client trials. Grow institutional buy-side and sell-side accounts through expansion, cross-selling, and increased usage. Collaborate with product, sales, and support teams, provide product feedback, maintain client relationships through on-site visits, and ensure compliance with regulatory requirements.

Own the product strategy and roadmap for SEO and AI visibility across thousands of real estate websites. Lead technical SEO foundations, structured data, performance, experimentation, migrations, measurement, and AI citation visibility. Partner with engineering and product teams to establish scalable defaults, safeguards, acceptance criteria, and reporting that improve organic discovery, client conversions, and platform-wide search quality.

Design and build AI-native financial infrastructure, including scalable backend services, APIs, data models, and full-stack applications. Develop agent-powered workflows for underwriting, risk monitoring, collections, and payments. Operate applications in the cloud, participate in code reviews, and help evolve engineering standards and AI-assisted development practices. Collaborate with product, design, architecture, and engineering teams in a fast-moving startup environment.