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Own the Ascent AI enablement platform roadmap across engineering and enterprise programs. Prioritize shared infrastructure, define specifications, close capability gaps, measure maturity, and connect AI usage to business value. Partner with engineering teams without direct authority, communicate roadmap decisions to technical and nontechnical stakeholders, and stay hands-on with AI coding agents and developer tools.

Lead area-level planning to manage capacity, cycle time, and WIP for technology development programs, collaborating with teams to ensure smooth manufacturing.

Design and implement embedded firmware from bare metal to embedded Linux for custom semiconductor equipment. Collaborate with electrical, mechanical, and control engineers; perform hands-on lab hardware bring-up and debug using schematics and test equipment; support manufacturing, calibration, and global teams.

Develop, maintain and optimize DRAM process modules and flows. Design and run DOE, analyze data with JMP/Minitab, troubleshoot cross-module yield issues, perform failure analysis, and transfer technology from R&D to high-volume manufacturing while coordinating with cross-functional teams.

The Sales Support Associate engages customers, operates POS systems, manages stock, and maintains the sales floor to enhance customer experience.

As a Sales Associate III, you will represent Coach, driving sales, building customer relationships, supporting store operations, and maintaining service standards in luxury retail.

As a Supervisor II at Coach, you will lead, coach, and develop team members, ensure excellent customer service, and manage operational functions on the sales floor and in the stockroom while maintaining high morale and team spirit.

Handles inbound calls and warm leads to understand customers’ insurance needs, recommend appropriate coverages, and convert prospects into policyholders. The role includes paid training and Property & Casualty licensing, customer communication, sales closing, and brand representation. Employees work remotely, follow assigned evening and weekend schedules, maintain required home-office and internet standards, and remain in their resident state for at least one year.

Manages complex commercial energy claims from initial report through resolution, including coverage analysis, liability assessment, reserves, litigation, settlements, and high-dollar exposures. Coordinates defense counsel, experts, legal, underwriting, reinsurance, and claims teams. Advises leadership on coverage and legal developments, mentors claims examiners, oversees litigation strategy, and supports claims process improvement while maintaining regulatory and confidentiality standards.

Principal Software Engineer responsible for designing and integrating full-stack solutions, leading Micro Frontend strategy, building AI-driven workflows, and improving distributed systems, data quality, reliability, security, and performance. The role provides technical leadership, mentors engineers, establishes engineering practices, and collaborates across product, design, platform, security, and data teams in an agile environment.

No substantive responsibilities or qualifications are provided. The posting only contains a test requisition disclaimer and general JPMorganChase company and team information.

Supports capital risk governance through regulatory policy interpretation, independent challenge, market risk capital model and calculator reviews, remediation tracking, scenario analysis, stress testing, and monitoring impacts on risk-weighted assets. Partners with model risk, analytics, coverage, and technology teams to improve dashboards, automate reporting, and prepare analysis for senior management and regulators.

Lead site reliability engineering for enterprise infrastructure platforms. Build automated, self-healing systems; define and operationalize SLIs, SLOs, observability, and actionable alerting; own production services, incidents, postmortems, security, performance, and cost. Mentor engineers, lead resiliency reviews, reduce toil, and apply validated enterprise AI capabilities to incident response, SDLC workflows, and operational readiness while maintaining security, traceability, and reliability controls.

Leads and develops Customer Success Managers while overseeing customer retention, renewals, expansions, and revenue growth. Serves as a customer service role model, regional escalation point, and cross-functional partner. Builds high-performing teams through hiring, coaching, talent development, and performance management. Negotiates contract renewals and upsells, resolves pricing objections, and manages customer relationships in a B2B SaaS environment. Spanish fluency is required.

Supports customer marketing and sustainability strategy across the Americas through market research, customer intelligence, executive communications, strategic program coordination, AI-enabled workflow experimentation, and performance reporting. The intern develops briefings, presentations, stakeholder trackers, reusable research assets, and recommendations for customer engagement and sustainability initiatives.

Design, build, scale, and operate high-volume payment APIs and distributed systems serving global traffic. Lead complex engineering projects from requirements through production, improve reliability, performance, observability, fault tolerance, and security, and participate in on-call and incident response. Collaborate across product and engineering teams, use AI-assisted development tools responsibly, and mentor engineers through technical reviews and documentation.

Manage tax compliance and advisory work, review tax returns, build client relationships, research tax matters, and mentor staff.

Lead CFO-level client advisory engagements, manage change initiatives, provide financial analysis, develop client budgets, and mentor staff.

Manage financial reporting for skilled nursing clients, assist with budgeting and forecasting, develop team members, and improve processes.

Partner with quantitative researchers to design, build, optimize, and scale deep learning models and tooling for research and production. Work includes model architecture, distributed training, inference optimization, ML libraries, and high-performance computing to improve training speed, scalability, reliability, and cost-efficiency in systematic investing workflows.