Jobs at Ridgeline

Lead the design and implementation of enterprise AI learning and enablement programs at Ridgeline, fostering AI adoption across all employee levels.

The Senior Staff Total Rewards Partner will develop and manage total rewards strategies, including compensation, equity, and benefits, to support global growth and IPO readiness. This role involves partnering with multiple departments and shaping the company’s compensation philosophy and benefits strategy to attract and retain talent.

Build and evolve Ridgeline’s investment performance and analytics platform. Responsibilities include software design, implementation, requirements and design reviews, AWS backend development, developer automation, scalable application development, analytical data modeling, and query optimization across OLAP and columnar systems. The role involves complex investment analytics, collaboration across design and strategy teams, automated testing, problem solving, and continuous learning in a financial technology environment.

Build and maintain automations (Okta Workflows, Jira Automation, Atlassian Rovo) to deflect repetitive tickets; develop automation pipelines; scope sprint work; and provide hands-on Tier 1/2 in-office support including laptop provisioning, account lifecycle management, and Mac fleet administration using Jamf and Google Workspace.

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.

Lead the design and architecture of large-scale reporting systems, mentor engineers, and drive technical initiatives. Collaborate across teams to enhance data accessibility and performance optimization.

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.

Design and build scalable backend services for reporting and query execution, drive architecture for distributed systems, optimize performance and reliability, improve observability and operational tooling, partner with product and engineering to deliver customer-facing capabilities, mentor engineers, lead design reviews, and evolve a next-generation reporting and query platform with strong correctness and auditability.

Senior software engineer on the Trading team building high-performance trade order management applications. Apply trading domain knowledge and quantitative skills to design, implement, and test scalable AWS-backed services, drive automation, mentor engineers, and advocate design and development best practices throughout the product lifecycle.

The Sales Executive will drive business development efforts in the investment management industry, utilizing consultative selling to close deals and maintain relationships with C-suite clients, while managing a pipeline in Salesforce and collaborating cross-functionally.