Jobs at Solovis

Lead Revenue Operations to drive revenue predictability and GTM productivity. Own planning, forecasting, territory design, KPI reporting, compensation/quota design, and sales enablement. Partner with GTM leadership and present strategic recommendations to executive leadership while also working hands-on with forecasting models and operational processes.

Maintain and enhance Azure cloud infrastructure to ensure 99.9% availability, optimize costs through automation, ensure scalability and performance, and maintain compliance with security standards (e.g., ISO 27001). Collaborate with dev and ops teams and support cloud-service CSAT goals.

Lead and manage a team delivering investment data through an SLA-driven pipeline. Build and maintain automation (Alteryx, Power Automate, Python), manage data feed integrations and document pipelines, perform extraction/mapping/enrichment and QA/QC across asset classes, track KPIs and SLAs, recruit and train staff, partner cross-functionally, and drive process improvements to increase automation and reduce manual work.

Client-facing quantitative role supporting institutional investors: interpret factor risk models, evaluate portfolio exposures, advise on manager selection and portfolio construction, and guide clients on Solovis and Venn platform capabilities while building strong consultative relationships.

Lead client relationships and delivery of portfolio data, performance reporting, and reconciliations for institutional clients. Manage SLAs, resolve escalations, support data quality using investment data/reporting platforms, and drive process improvements while mentoring analysts and building team capabilities.

Configure and deploy Solovis software for institutional clients, gather requirements, design solutions, manage projects to time and budget, deliver client training, maintain billable utilization, and ensure high customer satisfaction through proactive problem solving and data-driven decisions.

Develop test plans and execute testing (including automation), collaborate with developers, report findings to improve product quality and accelerate delivery of the platform suite.

Provide Tier 2 technical support for a portfolio management SaaS platform: troubleshoot and resolve complex technical issues, review code to isolate problems, document solutions, produce knowledgebase articles, collaborate with development, services, customer success and sales, and maintain high customer satisfaction and communication standards.

Senior Java engineer delivering AI-augmented production features and modernizations across a Java/Python/AWS stack. Pair with engineers to embed agentic practices, own systems end-to-end, participate in AI-augmented reviews, and judge agent use versus human intervention.

Own and ship end-to-end production features using agentic development. Build and operate multi-agent workflows, validate agent output, work in brownfield and greenfield environments, pair with engineers to spread agentic practices, and maintain long-term quality and reliability of systems.

Senior Java engineer delivering AI-augmented production features and modernizations across a Java/Python/AWS stack. Own systems end-to-end, pair with engineers to transfer agentic practices, perform AI-augmented code reviews, and judge when to trust or intervene with agent outputs.

Serve as the sole HR representative for Philippines employees, ensuring local compliance, managing end-to-end onboarding, administering Dayforce HRIS, coordinating benefits and payroll activities, supporting M&A integrations and data migrations, and contributing to policy, performance management, and engagement initiatives under the Director of HR.

Lead end-to-end delivery of strategic AI initiatives, drive AI adoption across teams, coordinate cross-functional stakeholders, apply data to measure success, and prioritize the AI project portfolio with leadership.

Hunt and close complex B2B enterprise SaaS deals in a defined territory. Build pipeline through outbound prospecting, run full sales cycles, engage C-suite buyers, use value-based frameworks, maintain CRM accuracy, and travel ~25%.

Design, build, and maintain scalable ETL/ELT data pipelines and backend services. Implement data validation, monitoring, performance optimizations, CI/CD, and operational support while partnering with product and business stakeholders.

Deliver production features and AI-powered modernizations using agentic development. Build and operate multi-agent workflows, pair with engineers to transfer agentic practices, validate agent output, maintain software quality, meet sprint commitments, reduce backlog, and produce scalable, well-documented code.

Design, develop, test, and deploy scalable enterprise software. Collaborate with product and development teams using agile practices, meet sprint and release targets, reduce escaped defects, write unit tests, and produce clear documentation to ensure high-quality, reliable releases.

Manage end-to-end fund manager data collection and documentation for institutional clients. Liaise with clients and fund managers, track outreach and timelines, ensure data accuracy and completeness, reduce manual overhead with tools, and maintain throughput and quality across high-volume reporting cycles.

Lead and deliver agentic AI initiatives across engineering, defining KPI frameworks, driving agentic workflow adoption, modernizing brownfield systems, planning capacity and budget, aligning stakeholders, and managing performance for AI proficiency.

Senior Analyst responsible for data analysis and reporting to support portfolio management and client outcomes. Must be detail-oriented, organized, prioritize effectively, and excel at time management and anticipatory decision-making. Works within a tech-forward, AI-informed team focused on analytics for institutional investors.