Top AI Jobs in NYC, NY

Lead strategic AI servicing projects from feasibility through implementation, managing scope, timelines, budgets, risks, documentation, and stakeholder commitments. Partner with business leaders to deliver high-impact initiatives, improve processes, and influence outcomes through strong communication, problem-solving, consulting, and collaboration skills.

Advise strategic technology and non-bank financial institution clients on payments, treasury, liquidity, and working capital transformation. Lead market analysis, benchmarking, solution design, opportunity origination, deal strategy, thought leadership, sales campaigns, and executive presentations. Partner with banking, sales, and product teams to shape client solutions, product priorities, reusable playbooks, and go-to-market execution while ensuring compliance and risk management.

Partners with senior technology leaders to develop and execute workforce, talent, performance, compensation, leadership, and organizational strategies. Advises on organization design, transformation, change management, employee relations, and complex people matters. Uses workforce analytics to guide decisions on skills, capacity, attrition, mobility, and location strategy. Coaches executives, advances inclusive culture, supports HR transformation, and collaborates globally with HR, Finance, Legal, and business stakeholders.

Own the full enterprise sales and customer success cycle for large accounts, including prospecting, closing, renewals, and expansion. Build executive relationships across security and engineering organizations, develop complex account plans, collaborate with internal and channel teams, and accurately forecast opportunities. The role focuses on selling cybersecurity, DevOps, or DevSecOps solutions to Fortune 1000 customers and closing complex, high-value transactions.

Develops and expands partnerships with pharmaceutical and biotechnology clients, supporting research, clinical, and commercial programs. Identifies prospects, conducts executive outreach, communicates product value, contributes to account strategy and revenue goals, supports contract negotiations, and coordinates cross-functional teams. Requires life sciences business development or sales experience, knowledge of real-world data and drug development, and approximately 20% domestic and international travel.

Own the vision, roadmap, discovery, delivery, and adoption of pricing and risk decision capabilities for business banking lending. Define requirements, manage the backlog, use AI tools to accelerate product discovery, improve credit and pricing workflows, ensure regulatory and control alignment, and partner with technology, risk, finance, and other stakeholders. Track outcomes such as turnaround time, approval rates, pricing accuracy, adoption, and operational efficiency.

Lead technical pre-sales engagements for large LATAM enterprise customers. Partner with account teams and channel partners, conduct Spanish-language discovery sessions and demonstrations, advocate for Atlassian Rovo and Teamwork Graph, architect customized solutions, and translate complex business challenges into measurable customer value. Build executive relationships, influence cross-functional teams, provide market feedback to Product Management, and support complex, high-stakes enterprise deals.

Sources candidates across technical and non-technical functions, builds pipelines for hard-to-fill roles, develops outreach strategies, and partners with recruiters and hiring managers. The role also coordinates interviews, maintains accurate ATS and sourcing data in Gem, supports candidate engagement, and experiments with AI-driven recruiting workflows. Responsibilities are split approximately evenly between talent sourcing and recruiting operations.

Own enterprise customer engagements from initial discovery through deployment and go-live. Translate customer challenges into use cases, define success criteria, manage pilot timelines, coordinate with engineers, drive adoption, train users, and relay feedback to product and engineering teams. The role also helps create scalable deployment processes in an ambiguous, early-stage startup environment.

Lead the Security Innovation Lab roadmap for video analytics and facial recognition. Own technology pilots from vendor evaluation and lab testing through live-site deployment and production scaling. Define testing criteria, performance metrics, governance, and go/no-go decisions; develop ROI business cases; coordinate with security, technology, privacy, legal, operations, and vendors; monitor biometric regulations; and communicate recommendations and deployment plans to executives.

Serve as the technical and strategic bridge between Ivo’s AI contract platform and enterprise legal teams. Lead customized product demonstrations, competitive evaluations, discovery, proof-of-concept configuration, RFP responses, security questionnaires, and technical diligence. Translate contract workflows and business needs into tailored solutions, while collaborating with Sales, Customer Success, Legal Engineering, and Product to share market insights and influence the roadmap. Build enablement materials and best practices in a fast-paced startup environment.

Drive growth by advising law firms and in-house legal teams on AI contracting solutions. Lead tailored product demonstrations, sales and onboarding calls, webinars, and events; guide customer implementation and workflow adoption; create contract playbooks from client agreements; collaborate with engineering and design teams to improve products; and synthesize customer feedback for sales and product strategy.

Conduct fundamental credit analysis of convertible issuers, evaluating capital structures, liquidity, covenants, recovery, and refinancing risk. Assess stressed credit positions and support portfolio sizing, hedging, and exits. Analyze primary market transactions, monitor portfolio exposures, develop issuer views, and identify emerging risks. Build scalable, data-driven credit analysis tools using AI, LLMs, and agentic workflows while presenting concise recommendations to portfolio managers.

Develop and manage AI fluency programs that help employees adopt agentic AI across business functions. Responsibilities include designing curricula, delivering training and workshops, measuring learning outcomes, developing stakeholder adoption strategies, assessing knowledge repositories, and creating systems to capture and organize institutional expertise. The role requires translating complex technical concepts for varied audiences and executing autonomously in an ambiguous, greenfield environment.

Conduct quantitative research using the scientific method to develop investment models, analyze large datasets with machine learning, test investment ideas, and collaborate with engineers. The 10-week summer internship includes mentorship, academic engagement, a dedicated project, and a final presentation. Candidates should have quantitative technical training, programming experience, real-world research experience, strong analytical thinking, and clear communication skills.

Conduct quantitative research for macro and fixed-income markets by developing alpha-generating investment models. Responsibilities include idea generation, feature development, alpha forecasting, monetization, portfolio construction, portfolio management, dataset analysis, and applying artificial intelligence and machine learning techniques. The role involves collaborating with quantitative researchers and developers to solve complex investment problems and communicate findings clearly.

Own enterprise sales across strategic Fortune 500 accounts, creating pipeline through events, marketing, SDR support, and account-specific strategies. Lead complex sales processes and proof-of-concept engagements through approximately eight-month cycles. Collaborate with executive, product, engineering, marketing, SDR, and legal teams to close opportunities. The role requires consultative selling, strong organization, resourcefulness, and the ability to shape customer perspectives on legal and compliance priorities.

Manage enterprise SaaS customer relationships from onboarding through renewal and expansion. Develop success and recovery plans, drive adoption, provide support and training, conduct business reviews, resolve escalations, and advocate for customer needs internally. The role requires strong communication, value-based selling, retention planning, and experience managing mid-market to enterprise accounts.

Own strategic enterprise customer relationships, including renewals, expansions, account strategy, stakeholder engagement, business-case development, forecasting, and commercial negotiations. Partner with CSMs, Solutions Architects, Product, Finance, and Legal to drive adoption of Ivo’s AI contract solutions and expand accounts across business units. Build executive relationships, identify customer value opportunities, manage procurement and legal processes, and develop long-term enterprise partnerships.

Build and productionize quantitative software for systematic macro research and trading. Responsibilities include prototyping research implementations, designing architectures, analyzing model impacts, evolving research systems, and partnering with quantitative researchers, product managers, engineering leaders, and business stakeholders. The role requires developing expertise across multiple research domains and delivering high-quality software products for macro instruments and markets.

Lead the architecture and evolution of quantitative software systems supporting forecasting, simulation, optimization, research, modeling, and trading. Define technical strategies, establish architectural standards, manage technical risks, balance business and long-term goals, serve as a technical expert, and mentor senior engineers. The role requires strong software engineering, quantitative, financial, communication, and relationship-building skills.

Develop and maintain software, analysis tools, and trading-platform capabilities that help quantitative researchers explore and implement trading strategies. Partner with researchers and traders to analyze data and performance, support new markets and asset classes, and improve productivity, risk reduction, and trading operations. The role requires strong software engineering fundamentals and programming experience in Python, Java, C, or C++.

Develop and test sophisticated investment models using scientific methods, machine learning, quantitative techniques, and large datasets. Conduct independent research, create investment ideas, collaborate with engineers, analyze real-world data, and communicate complex findings. Participate in research discussions, academic seminars, and industry conferences covering statistics, machine learning, and data science.

Analyzes structured credit investments, including CLOs, CMBS, ABS, and RMBS, across new-issue and secondary markets. Responsibilities include underlying asset analysis, credit and relative-value research, quantitative alpha strategy development, portfolio construction, and supervised trade execution. The role requires Python programming, large-dataset analysis, structured finance experience, and familiarity with platforms such as Intex, Valitana, and Bloomberg.

Develop and productionize software for portfolio research, optimization, forecasting, and simulation. Partner with quantitative researchers to prototype architectures, accelerate research, analyze model impact, evolve core systems, and build expertise across portfolio research domains. The role requires strong software engineering and quantitative skills, including mathematical optimization, linear algebra, statistical methods, and numerical methods.