Jobs at Juniper Square

Leads engineering strategy for platform systems, including modularizing a Python/FastAPI monolith, advancing AI-native development, enabling AI feature delivery, and strengthening application security. Oversees identity, audit logging, API and MCP gateways, reliability, and shared services. Manages engineering managers and senior engineers, drives organizational alignment, reduces technical debt, recruits talent, and builds secure, high-velocity developer platforms.

Leads multi-year transformation engagements for institutional private-market clients. Maps enterprise systems, redesigns investor workflows, facilitates custom development, defines AI agent automation, and drives organizational change and adoption. Acts as the executive-facing owner of implementation health, ROI reporting, stakeholder alignment, and operational playbook development while influencing product direction.

Lead the architecture, development, deployment, and maintenance of scalable full-stack applications and distributed systems. Provide technical leadership and mentorship across backend, frontend, cloud, and DevOps disciplines. Build Python or Java services, React and TypeScript interfaces, APIs, asynchronous pipelines, microservices, and cloud-native infrastructure. Drive system design, performance, security, observability, code quality, and end-to-end delivery. AI-driven application development is an advantage.

Manage and negotiate commercial contracts supporting sales and go-to-market teams, including NDAs, SaaS agreements, DPAs, service agreements, and SOWs. Review vendor agreements, ensure compliance, maintain contract management data, coordinate stakeholders, support contract playbooks and workflows, and train teams on contracting processes. The role requires independent judgment, strong communication, and experience handling software and professional services agreements involving privacy, security, intellectual property, and data rights.

Own a technically complex product domain spanning shared capabilities, data, or infrastructure. Define vision, strategy, roadmaps, success metrics, and adoption plans while prioritizing opportunities against engineering capacity, risk, and business goals. Lead cross-functional collaboration, influence architecture decisions, evaluate emerging technologies including AI, and drive reliable internal product adoption. The role requires strong technical communication, autonomy, stakeholder management, and at least eight years of product management or similar experience.

Build and operate AI-native applications and agentic systems end to end, from stakeholder discovery and prototyping through deployment, adoption, and ongoing iteration. Design retrieval, context, tool integrations, orchestration, evaluation, observability, and cost controls. Develop scalable event-driven systems, collaborate with platform and product teams, document solutions, train users, and mentor less experienced engineers.

Manage onboarding for fund administration clients, including fund accounting and reporting setup, client implementation relationships, data reconciliation, workspace configuration, and quality control. Lead cross-functional onboarding projects, provide technical accounting expertise, improve workflows, and identify product enhancements. The role also includes people management, customer data migration, system implementation, and supporting complex private equity, venture capital, and real estate fund structures.

Leads program management across the engineering organization, including complex enterprise implementations and client-facing delivery. Builds and manages a team of program managers, establishes PMO governance and reporting standards, drives executive communication, and oversees strategic initiatives, risks, roadmaps, and resource planning. The role remains hands-on with high-stakes programs and develops AI-powered workflows and tooling for scalable program tracking and reporting.

Own end-to-end product design for a core B2B SaaS product area, simplifying complex financial workflows and designing AI-powered features. Conduct user research, interpret analytics, collaborate with product and engineering teams, ensure high-quality handoffs, and strengthen the design system. The role requires autonomous execution, strong communication, enterprise UX expertise, and fluency with modern design and AI tools.

Design and implement scalable data models, ETL/ELT pipelines, analytics infrastructure, and backend services. Serve as the team’s data technical expert, advise product and development teams on instrumentation and reporting, establish governance and access controls, and document architecture and data definitions. Build data products that support internal and customer decision-making while collaborating across engineering and business teams. Apply modern AI tools and patterns to improve development velocity and data capabilities.

Lead the design and development of scalable full-stack web applications and distributed systems, guiding engineering teams and ensuring best practices in software development.

Manage complex billing operations, including contract interpretation, invoice and credit memo processing, invoice reviews, customer billing inquiries, cash application, collections follow-up, and AR aging monitoring. Guide teammates on billing workflows, collaborate with Deal Desk and Fund Admin/CX, and support process improvements within Zone. The role also uses Salesforce, AI productivity tools, and Excel to improve billing accuracy and efficiency.

Lead development of foundational platform services, including identity, authorization, search, and API infrastructure. Design scalable architectures, optimize database performance, build internal developer tools, improve observability and frontend reliability, and collaborate with product teams. The role includes writing tested code, conducting reviews, documenting platform capabilities, supporting internal users, and evaluating or integrating AI-assisted development and LLM-powered systems.

Build and operate enterprise integrations across Salesforce, CPQ, contract management, NetSuite, Workato, and cloud data warehouses. Develop event-driven billing automation, MCP servers for internal AI agents, governed APIs, monitoring, security controls, and audit-ready integration processes. Own reliability, incident response, documentation, and on-call coverage while supporting the Lead-to-Cash transformation and other company-wide systems programs.

Own production dbt models and semantic-layer definitions for revenue metrics, including ARR, CARR, bookings, backlog, and churn. Translate Finance and business requirements into technical data specifications, reconcile metrics with NetSuite and financial close, build certified dashboards and AI-assisted reporting, and establish governance, testing, lineage, access controls, and measurement for the Lead-to-Cash program.

Lead reliability and observability efforts across the org: design and maintain Kubernetes and AWS infrastructure, build CI/CD pipelines, drive IaC standards (Terraform/Crossplane), partner with 16+ teams to roll out tools and processes, participate in on-call rotation and incident response, and use AI tools to accelerate work.

Own global compensation and equity programs, including market pricing, salary bands, annual rewards cycles, bonuses, equity grants, and pay equity analysis. Partner with Finance, Talent Acquisition, and People teams on data-backed recommendations, executive and international compensation, Board approvals, and compensation workflow automation.

Manage a portfolio of 220+ mid-market customer accounts after onboarding. Drive product adoption, customer health, retention, renewals, and expansion through strategic, digital, and AI-enabled engagement. Monitor usage trends, identify risks, support escalations, advocate for customer needs, and collaborate cross-functionally on improvements. The role requires strong communication, customer data analysis, prioritization, SaaS customer success experience, and comfort using AI tools and evolving technologies.

Own revenue operations for the Fund Administration business, including Salesforce health, renewals, forecasting, pipeline reporting, dashboards, process governance, automation, and cross-functional operating cadences. Partner with Fund Administration, Sales, Customer Success, Marketing, and Finance to improve revenue processes, pricing, compensation, territories, quotas, and data integrity. Use AI and revenue technology to streamline workflows, improve reporting, and support scalable growth.

Owns GTM enablement within Revenue Operations, including onboarding, training, certification, continuous learning, content management, coaching support, and LMS administration. Translates product, pricing, process, and market changes into actionable seller resources. Builds reporting connecting enablement activity to GTM performance, supports revenue process improvements, and uses AI to accelerate content creation, insights, and workflows.