Top Tech Jobs & Startup Jobs

Lead pre-sales and technical engagements for aviation analytics: qualify opportunities, run demos/workshops, build business cases, support RFPs, design training/certification, provide technical account management, collaborate with product and marketing, and present to executive stakeholders. Translate data and BI insights into commercial value; travel as required.

Join a two-year Data Science Accelerator Program to rotate through analytical product development assignments. Assist with data cleaning, merging, feature creation, model validation, visualization, and client inquiries while learning statistical and machine learning techniques under senior data scientists' guidance.

Lead end-to-end product strategy, roadmap, and execution for AI-driven features. Align cross-functional teams, define KPIs/OKRs, drive experiments, and deliver measurable business impact while mentoring other product managers.

Develop and evaluate production-oriented AI capabilities for legal products. Responsibilities include designing LLM, RAG, retrieval, ranking, and agentic-system experiments; building prototypes and evaluation harnesses; analyzing errors, hallucinations, and data quality; defining benchmarks and human-in-the-loop metrics; and partnering with engineers, product teams, legal experts, and customers to improve AI workflows. The role is fully onsite in New York City with occasional customer-site travel.

Design, build, deploy, and maintain AI-enabled automation for Finance and FP&A workflows. Develop code, data pipelines, APIs, and integrations to automate reporting, forecasting, consolidation, validation, financial analysis, variance commentary, and anomaly detection. Own solutions through the full lifecycle, including testing, production deployment, debugging, optimization, and ongoing support, while improving data quality and reducing manual effort.

Processes and prioritizes sales orders, reviews contracts and documentation, validates information against Salesforce, maintains order records, and supports fulfillment activities. Resolves discrepancies, sets up client profiles, distributes login information, and collaborates with sales and internal teams. Uses Excel and Microsoft Office for order data review and reporting while maintaining accuracy, service standards, and adaptability to changing priorities.

Lead design, optimization, and management of large-scale databases and backend platforms. Build schemas, optimize complex SQL, develop stored procedures, resolve production issues, implement Java data access layers (JDBC/ORM), support ETL pipelines, and automate DB operations with shell scripting on Unix/Linux.

Lead integration of AI and automation into global content and metadata workflows. Identify and prioritize opportunities, partner with cross-functional teams to design and deploy scalable AI solutions, oversee global implementation, report outcomes to leadership, and drive continuous improvement and governance across content operations.

Leads technical execution for enterprise AI innovation squads from discovery through production. Designs and governs agentic AI patterns, including orchestration, tool use, memory, and retrieval; integrates AI with enterprise systems; and ensures security, governance, and data-residency compliance. Converts prototypes into scalable reusable solutions, reference implementations, and starter kits. Partners with stakeholders, manages delivery priorities and dependencies, evaluates technologies, measures outcomes, and mentors engineers.

Manage the full sales cycle across multiple events and products, develop customer relationships, achieve territory sales targets, and sell event, media, video, and digital inventory solutions. Serve as the primary customer contact, explain media products, manage customer-specific matters, and independently meet monthly, quarterly, and annual goals while collaborating with the events team.