Jobs at Ridgeline

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 develop portfolio performance measurement systems, optimize reporting workflows, and mentor engineers in a collaborative FinTech environment.

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.

Senior Sales Executive driving new business acquisition in investment management. Build relationships with C-suite, coordinate sales cycles, and maintain active pipeline using Salesforce.

Lead strategy, roadmap, and execution for Ridgeline's UI Platform frameworks. Drive cross-functional alignment with Engineering and Design to build scalable frontend frameworks, improve developer productivity, performance, and consistency, embed AI throughout the SDLC, define requirements and quality standards, and drive adoption of shared standards and tooling across product teams.

Serve as R&D finance business partner for Product, Engineering, Design, Security and tech teams. Lead R&D budgeting, forecasting, long-range planning, cloud cost management, financial modeling, variance analysis, executive reporting, business cases, and process automation using AI-enabled tools while supporting accounting, procurement, and FinOps practices.

Create and maintain user-focused product documentation (user guides, API references, in‑app guidance, release notes). Collaborate with product, engineering, and design to translate complex concepts into clear content using structured authoring (DITA/XML), CCMS, and AI-enabled tools. Improve content reuse, discoverability, and migration; apply accessibility and localization best practices; support scalable content operations and documentation standards.

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.

Design, build, and support scalable cloud-native Trade Order Management applications. Participate across the SDLC, troubleshoot production incidents, improve system reliability, mentor engineers, and collaborate with product and design to deliver secure, high-performing trading workflows.

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.

Build and evolve Ridgeline's AI data platform: design secure API integrations and MCPs, implement RAG pipelines and vector database solutions, scale distributed systems, enforce data lineage/access controls, and mentor peers while shaping AI platform strategy.

Design and evolve extensible enterprise platform frameworks (search, audit, custom fields). Lead architecture for data models, APIs, event-driven workflows, indexing pipelines, and operational patterns. Drive scalable, secure, performant solutions, participate in on-call and production support, use AI tools responsibly across the SDLC, and mentor engineers while collaborating across product and platform teams.

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.

Build and ship full-stack features for Client Management: frontend (React/TypeScript), backend services (Java/Kotlin), APIs (REST/GraphQL), and SQL-backed data flows. Collaborate with product and design, participate across the SDLC, write tests and maintainable code, improve developer automation and observability, and use cloud-native patterns and AI tools to accelerate development.

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.

Support clients across middle- and back-office investment operations including account setup, trade capture and settlement, reconciliations, performance reporting, corporate actions, data management, and period-end close. Investigate breaks, communicate with brokers and customers, and identify automation and AI-driven workflow improvements to scale operations and improve platform outcomes.

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.