Top Tech Jobs & Startup Jobs

Leads CRM reporting automation, analytics dashboards, KPI governance, data-quality improvement, and repeatable workflows using Python or VBA and advanced Excel. Creates executive-ready PowerPoint presentations that translate data into actionable narratives. Project-manages CRM initiatives, business reviews, process improvements, and technology rollouts while coordinating stakeholders, maintaining governance artifacts, and mitigating reporting and operational risks.

Designs, prototypes, and scales secure agentic AI systems across enterprise Employee Platforms. The role architects custom agents, orchestration, memory, tool use, evaluation, and human-in-the-loop controls; implements AI solutions in public cloud environments; develops production code; establishes reusable architecture and governance patterns; and advises engineering, product, security, and platform teams on resilient, auditable AI-enabled solutions.

Provide comprehensive financial planning and advice to individuals and families, build and manage a book of business, acquire and deepen client relationships, deliver personalized investment solutions and referrals, educate clients on digital tools, and collaborate with partners to address clients' holistic financial needs.

Leads hands-on architecture and implementation of production-grade generative AI systems, including search, conversational AI, and agentic workflows. Designs retrieval pipelines, orchestration, dialogue management, and scalable backend systems while optimizing latency, reliability, observability, cost, and evaluation. Serves as the senior technical authority for LLM-powered applications, establishes engineering standards, conducts design and code reviews, mentors engineers, and partners with product and business stakeholders. The role requires deep software engineering, AWS, distributed systems, and regulated-environment experience.

Lead full-stack engineering for cloud-native, large-scale applications: design and implement frontend (React/TypeScript) and backend (Python) services, author Airflow DAGs, model distributed SQL, deploy and operate on Kubernetes, drive observability with Splunk/Grafana, adopt enterprise AI-assisted development practices, and provide technical leadership across design, delivery, and operational readiness.

Leads hands-on development of agentic AI solutions on NEO, including agent execution, sandboxing, integrations, memory, retrieval, evaluations, guardrails, and authorization. Builds full-stack TypeScript and Next.js applications, writes secure production code, improves engineering automation, and supports operational stability. Mentors engineers, promotes responsible AI-assisted development, establishes validation standards, and drives adoption of emerging technologies across Software Engineering.

Leads software engineering initiatives focused on application reliability, stability, support, and operational improvement. Designs and develops scalable systems, troubleshoots complex technical issues, analyzes data, and builds monitoring and reporting solutions. Applies AI-assisted development and agentic AI to automate incident detection, remediation, root-cause analysis, alerting, runbooks, and observability. Works with Java or Python, Kubernetes, AWS, monitoring platforms, Splunk, ticketing systems, CI/CD, and agile practices while mentoring engineers and promoting secure, responsible AI adoption.

Supports digital deposit account opening product development across at-home and in-branch channels. Conducts user research, journey mapping, market analysis, and product metric evaluation. Partners with Product, Engineering, Design, Architecture, and stakeholders to define epics, features, requirements, and user stories. Manages sprint backlogs, Agile ceremonies, trade-offs, and sprint readiness while contributing to roadmap development and product optimization.

Provides comprehensive financial planning and investment advice to individuals and families, builds and manages a client book of business, develops personalized investment solutions, acquires and deepens client relationships, and provides financial coaching. The advisor educates clients on digital banking and investment tools, collaborates with internal partners, demonstrates knowledge of financial markets, and maintains a strong focus on integrity, relationship management, and client outcomes.

Serve as a hands-on Product Owner/Business Analyst leading data migration initiatives end-to-end. Define scope, priorities, backlogs, and acceptance criteria; coordinate across business, operations, data, and technology teams; drive migration timelines, testing, and rollout readiness; create documentation, runbooks, training, and UAT support; monitor metrics, dependencies, risks, and stakeholder communications to ensure controlled, successful delivery.