Engineering Manager

• Oversee multiple development teams, ensuring ROI-aligned delivery
• Define KPIs, budgets, and SLAs for application portfolio
• Implement and maintain DevOps, CI/CD, and quality frameworks
• Mentor and hire top engineering talent
• Liaise between IT and business to align technical strategy

Manager, Applications Development and Engineering

• Lead, coach, and develop a global team of data engineers while staying close to architecture, design, code reviews, debugging, and delivery.
• Partner with Technical Product Managers and Data leads to translate roadmap priorities, customer needs, and research requirements into scalable technical plans.
• Build and improve scalable data pipelines, data models, and QA systems for various data products.
• Collaborate with business stakeholders and PMs to support reliable delivery of data pipelines, incident resolution, methodologies, and operational improvements.
• Use AI coding tools to develop and enhance methodologies, accelerate engineering execution, improve documentation, strengthen QA, support technical exploration, and raise team productivity.
• Create clarity and momentum in ambiguous environments by breaking down complex data, research, and product challenges into actionable engineering plans.

Senior Data Engineering Manager

• Lead an engineering team responsible for delivering reliable, scalable infrastructure supporting the Data Feeds product.
• Establish clear engineering ownership, enabling teams to execute predictably while maintaining high standards of technical quality and operational excellence.
• Partner with Product and technical leadership to translate strategic priorities into well-executed engineering roadmaps.
• Provide engineering judgment to support the team in making sound architectural and operational decisions while balancing delivery, reliability, and long-term maintainability.
• Coach and develop senior engineers and technical leads, expanding leadership capacity across the organization.
• Drive improvements to engineering planning, prioritization, and execution while reducing unnecessary coordination overhead.
• Champion operational excellence by maintaining and improving the reliability and health of customer-facing production services.
• Foster collaboration across engineering teams to solve complex distributed systems challenges and support continued product evolution.

Engineering Manager, Data Feeds

• Strategic Team Leadership: Manage, mentor, and grow a highly talented team of up to 10 senior and staff software engineers (mostly distributed across North America).
• Foster a high-performance culture of technical excellence, predictable delivery, and career growth.
• High-Scale Operations & Scaling: Own the strategy and architecture of our enterprise AI Gateway - currently processing up to 1 Trillion LLM tokens per week with a projected 10x growth surge driven by agentic workflows (such as SuperAnalyst) - while ensuring high availability, sub-millisecond routing, caching, queueing, and robust fallback mechanisms.
• Multi-Vendor Orchestration: Strategically guide the integration, evaluation, and management of 6+ major LLM vendors and 50+ distinct models, optimizing for latency, cost, and reliability across different providers.
• Cross-Functional Alignment: Partner closely with product management, AI research teams, and executive engineering leads to align the gateway's roadmap with core product features and organizational goals.
• Technical Governance: Define and champion software engineering best practices, architectural standards, and token-based cost-tracking telemetry across the AI Platform organization.

Senior Engineering Manager, AI

• Define and own the strategy for security engineering.
• Hire, mentor, and grow the security engineering team.
• Lead identity and access management across systems.
• Direct security monitoring, detection, and incident response.
• Manage cloud security architecture and guardrails.
• Own vulnerability management end to end.

Head of Security Engineering

• Hire, grow, and retain excellent engineers
• Coach engineers with clear, direct feedback
• Create clarity around priorities, goals, and execution
• Match engineers to projects aligning with career goals
• Own the hiring bar and candidate experience
• Assist with team planning, execution, code quality, delivery, and retrospectives
• Drive how the team applies AI across the software lifecycle
• Take on targeted engineering work that keeps delivery on track
• Keep engineering coherent, spotting consolidation opportunities

Engineering Manager, Platform

• Lead a team of engineers responsible for data delivery and the systems that support it.
• Balance hands-on IC contribution with management duties — this role is expected to stay technical, not step fully out of the codebase.
• Drive execution against the guild's backlog and priorities as set by Product and senior leadership — proactively identifying issues, unblocking your team, and improving process and sequencing along the way rather than waiting to be told what needs attention.
• Own clear, proactive communication — with your team, with other engineering teams, with Product on backlog prioritization, and with stakeholders on delivery risk and status.

Engineering Manager, Data Delivery

• Establish yourself as Project Engineering Manager to successfully deliver steam turbine projects
• Involve supporting functions (Engineering functions, Workshops, Supply Chain and Field Service)
• Manage prioritization and possible escalation as deemed required
• Apply tools (Propolis) and processes (OneEngineering) for effective management
• Follow global standards and common processes to assure consistent quality
• Ensure compliance and product safety for all supplied components
• Organize and lead Design Reviews during the project execution
• Drive innovation and support the lean methodology to improve constantly the way we work

Project Engineering Manager – Steam Turbine

• Establish yourself as Project Engineering Manager to successfully deliver steam turbine projects in execution for Own Fleet Capital Parts and complex Upgrades, Engineering Studies and valve solutions.
• During project execution involve supporting functions (Engineering functions, Workshops, Supply Chain and Field Service) for a successful project setup with clear definition on deliverables, interfaces and timelines (Baseline Plan).
• Manage prioritization and possible escalation as deemed required.
• Apply tools (Propolis) and processes (OneEngineering) for effective management and to guarantee the on-time delivery for all Engineering tasks within the Project budget.
• Follow global standards and common processes to assure consistent quality delivered by a lean organization.
• Ensure compliance and product safety for all supplied components as our priority according to GEVernova’s Safety Quality Delivery and Cost.
• Organize and lead Design Reviews during the project execution to ensure and maintain quality.
• Drive innovation and support the lean methodology to improve constantly the way we work.

• Own stewardship of the application's highest-risk, highest-impact domain areas. Keep them clean, tested, and maintainable so other teams can build on top of them with confidence.
• Build the measurement systems that tell you where risks live. Deployment frequency, days with commits, support ticket volume, and recurring failure patterns are your leading indicators. If you can't measure it, you can't protect it.
• Prioritize root cause over volume. When a class of problem keeps showing up, your job is to make it go away permanently, not to keep closing tickets against it.
• Lead your team's first-line triage of engineering support tickets. Own and resolve what you can, and route what you can't with the context already assembled so the receiving team isn't starting from zero.
• Push your team to make AI agents the default starting point for domain maintenance and support triage, not an afterthought. Review AI-generated work with the same rigor you'd apply to any code.
• Lead your team's AI adoption directly. Set the expectation clearly, give people support and time to build the skill, then hold them accountable.
• Build and champion the skills, prompts, and automation that turn a recurring problem into something AI catches or fixes before a human has to.
• Negotiate the boundaries of what your team owns versus what stays with the team that built it. Keep the scope tight and defensible.
• Represent your team's perspective on system health and support trends back to product and engineering leadership, and make the case for stability work with the same rigor others bring to feature work.
• Run the fundamentals of people management well. Clear expectations, regular high-quality 1:1s, direct feedback, and investment in your team's growth.
• Maintain enough hands-on technical involvement to stay credible on the work your team does and to unblock them when it matters.

Engineering Manager – Support & Stability

• Lead financial planning, forecasting, and strategic decision support across the segment's technology and engineering organization
• Own end-to-end AWS forecasting for the segment, partnering with engineering leadership
• Collaborate with the Technology FP&A team on forecasting and reporting
• Lead team through monthly close activities with Accounting and CP&A
• Develop and maintain investment templates for IUS/Capital programs
• Provide leadership, coaching, and mentorship to analysts

Finance Manager – Global Engineering FP&A

• Lead and grow a team responsible for building and scaling SELECT, DoiT's cloud cost management platform.
• Play a key role in shaping the product roadmap, technical strategy and growth of the engineering organization.
• Partner with engineers to design scalable, reliable, and maintainable products across our application, data platform, and infrastructure.
• Drive engineering excellence through strong development practices, code quality standards, observability, reliability, and operational maturity.
• Conduct performance management, goal setting, growth planning, and regular one-on-one meetings.

Software Engineering Manager

• Develop the vision, strategy, architecture, and roadmap for enterprise collaboration technologies
• Provide leadership and technical oversight for Messaging & Collaboration Engineering
• Lead engineering support for Teams integrations, SharePoint integrations, OneDrive integrations, Microsoft Graph solutions, and other collaboration-related projects
• Accountable for Platform availability, Service resilience, Disaster recovery readiness
• Lead and develop a high-performing engineering organization

Head of Digital Workplace Collaboration Platforms, Engineering – Architecture

• Own technical strategy and roadmap for the AI4DD engineering function.
• Lead the ML Engineering and Infrastructure team designing and maintaining robust ML platforms.
• Partner closely with LLM and Agent research teams.
• Oversee the Data Engineering team's efforts in the architecture and development of data pipelines.
• Direct the Product Engineering team’s development of researcher-facing applications.

Head of Engineering, AI for Drug Discovery

• Build the incident response management function
• Serve as an on-call incident commander
• Engage the right people at the right time
• Own incident communications end-to-end
• Participate in blameless incident reviews
• Partner with engineering teams to develop and maintain incident response policies
• Continuous improvement with teams to detect, respond to, and learn from incidents

Incident Response Manager – Product & Engineering

• Chart the path from supervised agents to trusted autonomous ones
• Engineer the isolation that makes Cursor safe
• Build the authority infrastructure autonomous agents need
• Build customer-facing security controls that are understandable, usable, and strong enough for security-sensitive customers
• Hire, coach, and grow a high-performing security engineering team

Engineering Manager, Agent & Product Security

• Lead customer-facing Agentic AI product leveraging LLMs, agents, and internal APIs.
• Work with partners like OpenAI to integrate Jerry.ai services into the ChatGPT app.
• Define prompt consolidation and migration strategy.
• Own the technical prioritization queue and chatbot prioritization.
• Track emerging technology and manage the OpenAI relationship.

Technical Product Manager, AI Engineering – Systems

• Lead the customer-facing Agentic AI product leveraging LLMs, agents, and internal APIs.
• Define the strategy for migrating prompts onto a unified platform.
• Own the technical prioritization queue for chatbot projects.
• Track voicebot and computer use for investment decisions.
• Collaborate with engineering, data, operations, and other teams on execution.

Senior Technical Product Manager, AI Engineering – Systems

• Lead the Decision Advantage team in designing, building, and shipping cutting-edge applications, services, and agents using TypeScript, React, Tailwind, Node.js, Python, Postgres, and AWS.
• Partner with customers, mission owners, designers, and product teams to understand user workflows and drive concrete outcomes aligned with real-world operator workflows.
• Reduce friction and duplication across the team by building strong technical patterns, reusable services, and clear product engineering practices.
• Grow and mentor a high-performing team of full-stack engineers. Foster a strong engineering culture focused on pragmatism, velocity, ownership, and mission impact.
• Collaborate with Design, Platform, and Product teams to deliver durable, reliable software.

Engineering Manager – Decision Advantage

• Support customers across the Corporate Legal Software suite of products
• Engage with executives at our largest customers
• Deliver measurable customer outcomes through structured Customer Success Plans (CSPs)
• Conduct executive business reviews (EBRs) and proactive customer check-ins
• Focus on adoption, value realization, and expansion in partnership with Sales and Professional Services
• Monitor customer health, usage data, and growth opportunities
• Build and present business plans
• Establish and maintain long-term customer relationships
• Effectively partner with internal and external partners
• Leverage technology tools for managing client information, pipeline, and financial forecasts

Engineering Manager jobs in New York

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Manager, Applications Development and Engineering

Senior Data Engineering Manager

Engineering Manager, Data Feeds

Senior Engineering Manager, AI

Head of Security Engineering

Engineering Manager, Platform

Engineering Manager, Data Delivery

Project Engineering Manager – Steam Turbine

Project Engineering Manager – Steam Turbine

Engineering Manager – Support & Stability

Finance Manager – Global Engineering FP&A

Software Engineering Manager

Head of Digital Workplace Collaboration Platforms, Engineering – Architecture

Head of Engineering, AI for Drug Discovery

Incident Response Manager – Product & Engineering

Engineering Manager, Agent & Product Security

Technical Product Manager, AI Engineering – Systems

Senior Technical Product Manager, AI Engineering – Systems

Engineering Manager – Decision Advantage

Senior Customer Success Manager, Legal Software