Jobs at Ridgeline

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.

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.

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.

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.

The Product Manager will own the extensibility strategy, managing product direction for integrations and API, driving alignment across teams, and ensuring commercial viability within a B2B SaaS context.

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.

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.

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 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.

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.