Jobs at Ridgeline

The Staff Performance Engineer will analyze and optimize frontend rendering, improve application performance, measure user experience metrics, and collaborate with engineering teams to enhance responsiveness and reliability in investment management applications.

The role involves developing fullstack applications for client communication, focusing on frontend experiences, backend services, and system reliability. Collaboration with cross-functional teams is key to delivering efficient solutions.

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.

Lead and scale education programs in a fast-growing fintech firm, managing a diverse team while enhancing learning strategies and driving profitable services.

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

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.

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.

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.

Lead end-to-end enterprise cloud software implementations for investment managers. Define scope, schedules, budgets, and success criteria; coordinate cross-functional teams; manage risks and quality; communicate with stakeholders; drive go-live and continuous improvement; and use AI and collaboration tools to improve documentation and delivery.

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.

Lead design and delivery of authentication and authorization services, integrating Auth0/SSO and cloud/serverless back ends. Mentor engineers, participate in full SDLC, manage on-call production support, and collaborate across Platform, Product, and Security to build scalable, secure IAM solutions while using AI tools to accelerate development.

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.

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 broker onboarding and FIX connectivity end-to-end: manage certifications, FIX message configuration, and EMS/OMS integrations; coordinate multiple concurrent implementations and partners (Broadridge/NYFIX); document workflows, migrate connection records into Salesforce, resolve production FIX issues, ensure regulatory compliance, and optimize onboarding/testing processes while enabling CX through training and automation.

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.

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.