Top Tech Jobs & Startup Jobs in NYC, NY

Develop enterprise-grade applications by managing end-to-end feature ownership, collaborating with cross-functional teams, and integrating AI within workflows to enhance IT services.

Design and develop systems for AI-native enterprise management, focusing on scalability, maintainability, code quality, and collaborative engineering practices.

The Principal Software Engineer will lead architecture, mentorship, and technical execution for scalable systems, influencing product strategies.

Own full-cycle state and federal government channel sales and partnerships. Build and manage relationships with government and NGO partners, drive provider adoption via training and outreach, monitor program health and KPIs, reduce churn, and grow revenue while carrying a quota. Serve as primary contact for government-funded groups and state clients.

The Senior AI Ops Engineer will design and deploy scalable AI systems for healthcare automation, focusing on code quality, AI safety, and collaboration across teams.

Manage daily outreach and training calls with small business customers to drive adoption of websites, SEO, ads, and AI features, prevent churn, recover delinquent accounts, capture feedback, and collaborate with product and support teams to ensure customer value and retention.

Serve as the first point of contact for customers across calls, texts, and email; troubleshoot and guide users; support onboarding and cross-team workflows; manage tasks in Asana and Google Workspace; collaborate with CSMs to maintain strong customer sentiment and improve processes.

As a Relationship Manager, you will manage client relationships, drive engagement, facilitate implementation, and identify opportunities for renewal and expansion within a large portfolio.

Drive revenue growth through identifying and engaging new business opportunities in the wealth management sector, focusing on building strong client relationships and closing deals.

The Sr. Data Analyst will analyze financial documents, provide input on AI model training, collaborate cross-functionally, and ensure data quality and accuracy.

The Risk Management Analyst/Data Scientist will drive customer experience strategy through risk management processes and data analysis. Responsibilities include tracking risks, maintaining reports, creating analytics solutions, and presenting findings using data visualization tools.

The Analyst, Risk Management position involves supporting operational risk management processes and creating advanced analytic solutions based on large datasets. Responsibilities include maintaining risk documentation, providing data-driven insights, and delivering comprehensive reporting for business strategies.

Provide US banking and payments regulatory counsel for Mastercard: lead regulatory strategy, advise US and global business teams, liaise with state and federal regulators, analyze laws and rulemaking impacts, support product development and licensing, and lead special projects related to US banking and payments regulation.

Lead and own the full accounting function including GAAP-compliant financial reporting, month/quarter/year close, audit coordination, internal controls, ERP selection/optimization, equity administration, tax coordination, AI-driven automation, and team leadership to support rapid growth.

Partner with functional leaders to run growth and operational experiments across marketing, sales, and customer experience. Build AI-powered tools, identify and close operational gaps, design and execute tests, and own cross-functional projects from concept through launch to drive measurable business outcomes.

As a Founding GTM Deployment Strategist, you'll own customer success operations, enhance relationships, and develop metrics while engaging with customers to understand their needs and ensure product impact.

Build frontend experiences, contribute to design decisions, mentor junior engineers, and engage with customers to address complex challenges.

As a Forward Deployed Software Engineer at Credal, you will manage end-to-end execution of complex projects, working closely with partners in healthcare and tech to enhance product development through customer insights.

Lead design and implementation of production GenAI/ML services and agentic systems for post-trade workflows. Build RAG/vector retrieval, integrate ML components, enforce governance/auditability, establish evaluation and monitoring, optimize performance/cost, and mentor engineering teams while collaborating with product and operations.

Work with insurance clients to design ALM, strategic asset allocation and capital management solutions. Build and enhance analytical modelling frameworks, collaborate with internal teams (Aladdin, investment groups), and account for regulatory, accounting and capital constraints in portfolio design.

Design and deliver enterprise-scale data models and analytics-ready datasets in Snowflake; build reliable ELT/ETL pipelines (batch and near-real-time); implement data quality, observability, and performance optimizations; publish curated data to downstream systems; enforce documentation, lineage, schema evolution, and secure handling of sensitive data while collaborating with product, operations, and engineering teams.

The Sales Director will build partnerships, manage the sales process, and achieve revenue goals while maintaining client relationships and understanding market trends.

Design and develop backend services and APIs for identity resolution, optimize event-driven systems, and enhance system reliability. Mentor engineers and influence architectural decisions.

The Senior Customer Success Manager develops relationships with key accounts, ensuring success through upsells and renewals, while leading strategic client interactions and optimizing performance.