Top Tech Jobs & Startup Jobs in NYC, NY

Lead and build the legal function for an AI infrastructure platform: advise executives and Board, manage enterprise and provider contracts, oversee compliance (privacy, export/sanctions, platform policies), handle corporate governance, financings, M&A, employment issues, and legal operations. Manage outside counsel and hire a lean legal team.

The role entails building relationships with enterprise clients, managing long sales cycles, and driving strategic sales in AI infrastructure. Responsibilities include generating leads, managing sales processes, collaborating with teams, and achieving revenue targets, with a focus on technical solutions for large organizations.

Lead data science across Growth and Membership Operations: define problems, build scalable data models and pipelines, develop analytical and ML solutions, partner cross-functionally, and integrate AI tools to optimize sales, marketing, telesales, and enrollment operations.

The Business Applications Manager will oversee the financial tech stack, focusing on NetSuite administration, internal controls, and process improvements while managing projects and cross-functional communication.

Design, implement, and optimize Microsoft 365 cloud architecture across M365 services and Power Platform. Support tenant configuration, governance, integration, data protection, monitoring, troubleshooting, migrations, POCs, and documentation while collaborating with security, developers, and government stakeholders.

Design and prototype user-centric experiences for MNTN's SaaS self-serve advertising platform. Collaborate cross-functionally across product, engineering, QA, and customer teams through research, wireframes, mockups, and shipped features. Advocate for user engagement, iterate on design systems, mentor with the Platform Squad, and help grow product design efforts.

Lead audit and accounting tasks for multi-entity renewable energy operations including audit procedures, month-end close, GL entries, technical accounting memos, GAAP/IFRS financial reporting, covenant and financing oversight, control testing, and vendor/treasury compliance.

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.

Design, implement, and maintain marketing inference models (e.g., MMM and attribution). Analyze large datasets and A/B/uplift experiments with rigorous statistics, build predictive and causal models, partner with marketing to generate testable ideas, and communicate insights to drive marketing decisions.

Own full-cycle mid-market SaaS sales targeting industrial, manufacturing, field operations and logistics. Prospect new logos, run discovery and demos, build ROI proposals, apply MEDDPICC, manage HubSpot CRM, negotiate contracts, and collaborate with SDRs, Marketing, and Customer Success to close deals and ensure smooth handoffs.

Full-cycle SaaS Account Executive responsible for prospecting, demos, consultative selling, pipeline management, forecasting, and coordinating handoff to customer success. Maintain CRM records, collaborate cross-functionally, and stay current on market trends.

The Customer Success Manager will manage small to mid-sized accounts, ensuring customer satisfaction and driving retention through engagement and support.

Lead and build a global internal audit function for a growing pharmaceutical company: establish charter and risk-based audit plan, assess and strengthen internal controls and SOX/ICFR frameworks, collaborate with legal/compliance/finance/HR/quality, leverage automation and data analytics, present findings to the Audit Committee, and manage investigations and special assignments.

Manage and administer the companys export compliance program (EAR, ITAR), third-party risk, CUI policies, and support government contracting (FAR/DFARS). Review solicitations and contracts, enter and verify contract data, drive cross-functional compliance, oversee external advisors, and deliver training and reporting to ensure regulatory alignment.

The Director of Product Management for GPU Platform leads strategy and execution for GPU-enabled products, collaborating with engineering and customers to drive product alignment and adoption.

Support See & Spray CVML team by running reproducible experiments, implementing and evaluating CV and ML models (CNNs to transformer-based), improving evaluation pipelines, debugging models, and applying data-centric AI practices to drive product performance.

Build and maintain production data pipelines and tools for large-scale image and sensor datasets. Design, develop, and test full-stack applications for vector and raster data, implement cloud and edge data offboarding, create continuous delivery pipelines (Kubeflow/Airflow/Databricks), collaborate with cross-functional teams, and document code, APIs, and system architecture.