Top Tech Jobs & Startup Jobs

Lead design and implementation of a next-generation performance and analytics platform. Build cloud-native services on AWS/Azure/GCP, optimize OLAP/columnar queries, model analytical data, enable large-scale analytics, and create developer automation and tests. Collaborate across design, strategy, and engineering to deliver scalable, production-grade solutions for investment performance and attribution reporting.

Lead architecture and execution of detection and response capabilities across AWS and broader infrastructure. Build AI-augmented detection/triage pipelines, design SIEM/SOAR ingestion and alerting frameworks, drive incident response for high-impact events, close detection gaps, mentor engineers, and set team standards for responsible AI usage.

Lead services sales for enterprise asset management software by scoping engagements, drafting and refining SOWs, shaping deal strategy, influencing pricing and contracts, translating requirements into delivery plans, and maintaining services pipeline and forecasting to scale consulting capacity.

Design and build a next-generation performance and analytics platform using OLAP/columnar technologies and cloud-native services. Work across the full software lifecycle to optimize analytical queries, implement developer automation and automated tests, and collaborate with design and strategy to deliver scalable, high-performance investment analytics.

Create and maintain scalable learning assets (videos, eLearning, guides, slide decks, microlearning) using AI and modern tools. Execute instructional designs, manage multiple projects, analyze learner feedback and metrics, ensure accessibility, and collaborate with cross-functional teams to improve learning outcomes.

The Software Engineer will design and build scalable backend systems and data platforms, developing data pipelines and migration tools while collaborating with cross-functional teams and managing ambiguous requirements.

Manage a portfolio of investment and wealth management customers to accelerate time-to-value, drive product adoption, and retain/expand revenue. Coordinate onboarding, execute account plans, run trainings/workshops, surface product feedback, and partner cross-functionally to remove adoption barriers. Use AI-enabled tools and CS platforms to monitor customer health, scale outcomes, and contribute to process improvements while supporting up to 25% domestic travel.

Own and improve Workday and HR operations systems end-to-end: diagnose recurring issues, redesign processes, implement configuration, automations, and reporting, run service delivery, partner cross-functionally, and build durable, scalable HR technology and operations solutions.

Lead and build Ridgeline's Product & Technology Operational Excellence function, unifying Product Ops, Engineering & QA Ops, and Project Management. Partner with senior leaders to translate strategy into execution, create operating models, governance, dashboards, and standards, oversee key technology initiatives, and apply AI/automation to improve efficiency and decision quality while developing high-performing teams.

Lead and grow engineering teams building an internal AI platform of agents, shared services, and AI-native products. Define strategy, deliver scalable secure AI systems, partner cross-functionally to prioritize high-leverage AI investments, measure adoption and productivity gains, and recruit and mentor top AI and platform engineers.