Top Tech Jobs & Startup Jobs in NYC, NY

Supports people operations and workplace experience for the US team by coordinating hiring, onboarding, offboarding, employee engagement, office operations, events, vendors, inventory, hardware setup, and leadership support. The role serves as a central point of contact for candidates and employees, manages office and team logistics, and helps maintain a positive, organized, and well-equipped workplace.

Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.

Own enterprise sales across a named territory, prospecting Fortune 500 and Global 2000 accounts, building executive relationships, conducting value-based discovery, managing complex competitive deals, and closing multimillion-dollar contracts. Coordinate internal teams through security, legal, procurement, and renewal processes. Expand existing accounts, forecast accurately, and achieve pipeline and quota targets while selling Klaviyo’s multi-product customer data and engagement platform.

Own end-to-end postproduction for YouTube videos, including editing, motion graphics, animation, color grading, sound design, storyboarding, and animatics. Collaborate with producers, reporters, editors, designers, and freelancers to create ethical, compelling journalistic videos. Establish motion design workflows, reusable templates, visual identity, and brand standards while managing multiple projects and deadlines.

Leads GLI’s technology strategy, infrastructure, cybersecurity, digital platforms, enterprise applications, data governance, accessibility, and AI initiatives. Manages a five-person technology team, vendors, budgets, help-desk operations, platform consolidation, business continuity, CRM systems, and technology risk. Partners with executives and departments to align technology investments with educational and organizational priorities while supporting facilities, workplace, and digital-learning initiatives.

Leads technical strategy and builds proofs of concept for AI systems in regulated enterprise environments. Designs architectures, integrations, authorization, evaluation, monitoring, and governance for agentic workflows and non-deterministic systems. Evaluates vendor platforms, develops working software in Python and TypeScript, aligns architecture, risk, security, legal, product, and operations stakeholders, and presents recommendations to senior leadership. Establishes reliable AI coding workflows and hands completed solutions to production-owning teams.

The Director of Marketing will develop and execute an integrated marketing and network strategy for a venture capital firm. Responsibilities include brand amplification, digital marketing, SEO, content distribution, events, community and network growth, stakeholder alignment, KPI development, and data-driven optimization. The role partners with leadership and technology teams to improve brand reputation, deal flow, investor relations, and founder engagement while exploring AI-powered tools to scale marketing activities.

Develops Power BI dashboards, leads data migration to a new fundraising and ERP system, validates and reconciles data, gathers reporting requirements, builds Power Automate workflows, documents processes, supports staff, and coordinates third-party data integrations. The role requires strong analytics, business intelligence, SQL, data modeling, reporting, and stakeholder communication skills, with approximately five years of experience.

Own and grow strategic enterprise customer relationships, driving retention, renewals, expansion, and seven-figure software transactions. Develop multi-year account plans, build executive and technical stakeholder relationships, identify expansion opportunities, lead negotiations, maintain forecasts and pipeline visibility, and coordinate cross-functional teams. Engage with data scientists and AI/ML engineers to understand adoption, customer outcomes, and opportunities to expand platform usage across business units and use cases.

Build AI-powered features and products for clinical documentation and medical coding. Develop LLM-driven agentic systems, APIs, services, and production infrastructure across healthcare revenue cycle workflows. Create evaluation frameworks and experimentation loops using statistical and data-driven methods to ensure reliability, auditability, and alignment with coding guidelines and user feedback. Collaborate with product, design, machine learning, clinical, and revenue cycle experts to deliver high-impact SaaS solutions.