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.

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.

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.

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.

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.

Provide high-level administrative support to the CEO and executive team: manage scheduling, produce and quality-check board/executive materials, own sensitive communications, use AI tools to streamline workflows, and proactively solve problems while handling confidential matters.