Top Tech Jobs & Startup Jobs in NYC, NY

Manage strategic deposit products and initiatives from concept through launch and ongoing enhancement. Define product strategy, requirements, priorities, KPIs, and competitive analyses while coordinating cross-functional and international teams. Maintain project governance, track risks and dependencies, prepare senior-management updates, develop communications, support escalated client issues, and update policies and procedures. Partner with Technology, Operations, Marketing, Legal, Compliance, Finance, Treasury, Sales, and Risk to grow and improve banking deposit offerings.

Support marketing, distribution, and execution of equity and fixed-income offerings for Morgan Stanley Wealth Management advisors. Handle deal setup, execution, distribution analysis, field support, documentation, compliance coordination, and product-line enhancement in a fast-paced capital markets environment.

Produce and maintain investor-facing Salesforce decks and financial models; write equity research reports and initiations; perform industry diligence and primary research; interact with institutional investors and company management; support sales/trading with timely analysis; use AI-enabled research tools while ensuring source verification and quality control.

This role involves managing significant capital with a focus on risk management and collaboration, implementing alpha-driven strategies in various investment areas.

Leads risk data, reporting, analytics, and technology workstreams across Risk Management. Designs scalable solutions, manages data transformation and aggregation for regulatory and executive reporting, improves measurement through automation, translates business and regulatory needs into requirements, and establishes governance, auditability, and documentation practices. Manages analysts and delivery resources, oversees roadmaps and projects, supports stakeholder decision-making, and provides analytical and reporting expertise to risk, audit, compliance, and executive audiences.

Conduct equity research on Internet and digital media companies, analyzing industry trends, financial statements, investment risks, and potential rewards. Develop financial models, forecasts, cash flow analyses, balance sheet projections, investment theses, and research reports. Monitor investments, evaluate emerging developments, and contribute to buy, hold, or sell recommendations under senior analyst guidance. Communicate findings to internal and external clients while continuing professional development and pursuing relevant FINRA accreditations.

Lead design, delivery, and support of risk data, reporting, and analytics solutions. Partner with stakeholders to improve risk measurement, data governance, automation, and reporting. Manage roadmaps, backlogs, documentation, observability, and a team delivering analytics, dashboards, and decision-support for regulatory, audit, and executive audiences.

Develops strategic account plans, sales forecasts, proposals, and business cases to drive revenue growth and customer retention. Analyzes sales data and market trends, aligns product offerings with client needs, supports account onboarding and integration, resolves issues, and maintains relationships with clients, partners, and internal stakeholders. Collaborates cross-functionally with Sales, Finance, Legal, Product Marketing, IT, RevOps, and Ad Operations to improve processes and account performance.

Supports strategic account growth through market analysis, forecasting, stakeholder management, and negotiation support. Coordinates media campaigns, including setup, optimization, performance monitoring, KPI tracking, and end-of-campaign reporting. Collaborates with account managers and cross-functional teams to improve client satisfaction, renewals, and account growth while maintaining knowledge of advertising products, specifications, guidelines, and business rules.

Lead the development and deployment of scalable machine learning and deep learning models for personalization, recommendation, ranking, and ad targeting. Translate ambiguous business problems into ML solutions, design offline evaluations and online experiments, and guide initiatives from ideation through production monitoring and optimization. Collaborate with Product, Engineering, and Data Science teams, influence technical decisions, and champion best practices in modeling, experimentation, and reliable ML development.

Own end-to-end product execution for Blee’s enterprise AI marketing content compliance platform. Responsibilities include customer discovery, requirements writing, backlog and sprint management, bug triage, platform capability development, feature launches, adoption tracking, and roadmap prioritization. The role partners closely with engineering, customers, Sales, Customer Success, Legal Engineering, and enterprise legal, compliance, marketing, and operations stakeholders.

Lead end-to-end enterprise implementations from contract to go-live, coordinating stakeholders, project plans, technical integrations (SSO, APIs, data flows), and documentation. Manage timelines, unblock cross-functional teams, create training/runbooks, maintain the implementation playbook, and hand off context to Customer Success for ongoing account management.

Lead end-to-end IBM Maximo implementation and upgrade projects, serve as onsite client liaison, oversee Maximo configuration and integrations (MIF/REST/OSLC), manage Automation Scripting (Python) and Java/MBO development, and coordinate cross-functional teams to deliver EAM solutions on schedule and quality standards.

Develop production-grade backend software using Java or Python, with working knowledge of Golang. Build cloud-native microservices, REST APIs, enterprise integrations, and event-driven systems. Design scalable, highly available solutions and containerized deployments using Docker, Kubernetes, and Helm. Implement CI/CD automation, testing, observability, performance tuning, and quality controls. Troubleshoot Linux environments, databases, and distributed systems. Telecommunications experience and familiarity with TM Forum Open APIs are desirable.

Own the full enterprise sales cycle for Swayable’s AI and automated data science platform, from prospecting through close. Build strategic relationships with Fortune 500 brands and marketing agencies, develop account strategies, lead consultative sales conversations, navigate complex buying processes, create proposals and RFP responses, and manage pipeline forecasting while meeting new business targets.

Drive enterprise sales opportunities for Stripe’s data products as a technical subject matter expert. Architect data warehouse, pipeline, reporting, reconciliation, BI, and ERP integrations; conduct customer discovery; develop reference architectures and reusable enablement assets; resolve complex technical escalations; influence product priorities and roadmap; support forecasts, marketing events, and executive relationships. Partner closely with sales, presales, product, and engineering teams to grow pipeline and revenue.

Own and execute high-stakes global regulatory programs from strategy through delivery. Build scalable operating models, workflows, feedback loops, and PMO frameworks across Product, Engineering, Legal, Risk, Compliance, and GTM. Improve operational processes, translate regulatory requirements into commercial value, advise senior stakeholders, manage escalations, and use data-driven insights to resolve systemic gaps and improve user outcomes.

Lead complex, high-value enterprise platform sales from prospect identification through negotiation and close. Develop multi-year account strategies, build executive relationships, orchestrate cross-functional deal teams, and design tailored commercial and technical solutions with Product, Engineering, Finance, Legal, and Solutions Architecture. Shape go-to-market strategy, influence product roadmaps, and guide customers through value realization, integration, and long-term partnership opportunities.

Build, deploy, and maintain production machine learning models to predict business outcomes; support experiments and forecasting of product/features; analyze large transactional data to identify marketplace optimizations; collaborate with product, growth, and engineering to drive experiments into production and communicate results to stakeholders.

Own and ship full-stack systems across .NET APIs, React/Next.js web, and React Native mobile. Design databases and APIs, optimize scalable production services, build third-party integrations, and improve personalized marketplace experiences. Use AI coding agents to accelerate development, testing, code review, research, monitoring, and automation. Apply data-driven decision-making while working autonomously on systems handling real traffic and financial transactions.

The Strategy Associate supports the co-CEOs and executive team by translating strategic priorities into structured workplans, managing initiatives, tracking milestones and outcomes, and following up on executive decisions. The role also conducts market, competitor, client, and internal performance analysis; prepares executive, board, and external presentations; owns selected projects end to end; and handles confidential information. It requires strong project management, analytical, writing, presentation, stakeholder management, and AI-tool adoption skills.