Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Own go-to-market strategy, positioning, messaging, launches, sales enablement, competitive intelligence, and customer research for Juniper Square’s fund administration business. Partner closely with Sales, Product, Customer Success, and Growth Marketing to accelerate pipeline, upsell, cross-sell, and adoption. Maintain expertise on fund administration buyers, experts, reference clients, and market dynamics while using AI tools to improve research and content production.

Leads Juniper Square’s expansion sales and Powered Admin Services functions. Owns expansion quota and personal deals, builds installed-base pipeline and whitespace analysis, establishes qualification and account-handoff processes, develops the administrator partnership channel, hires and coaches expansion sellers, and manages sales dashboards and operating cadence. Partners closely with Customer Success, Fund Administration, RevOps, Marketing, Product, and Partnerships while using AI to automate revenue workflows and improve account targeting.

Lead end-to-end operations for junipersquare.com including CMS governance, production publishing, technical SEO, AEO/GEO monitoring, AI-driven workflows, performance reporting, and cross-functional project ownership. Drive site health (Core Web Vitals, speed, uptime), manage agencies, and translate analytics into a content and optimization roadmap.

Provides technical consulting for an investment management platform, leading client implementations, solution design, training, adoption planning, process optimization, documentation, and issue resolution. Partners with clients and internal teams to improve workflows, increase product utilization, and achieve business outcomes. Requires investment management client experience, strong communication and analytical skills, productive use of AI tools, and up to 10% national travel.

Own complex, cross-functional software programs from planning through release, coordinating engineering, product, design, QA, platform, and operations teams. Establish program governance, manage dependencies and risks, report to senior leadership, and improve PMO standards. Design reusable AI-powered workflows using tools such as Jira and Confluence, maintain prompt and automation libraries, mentor program managers, and serve as the PMO’s AI thought leader.

Lead Juniper Square's end-to-end social strategy and execution across LinkedIn and future channels. Manage the content calendar and publishing stack, write platform-native copy, collaborate on creative and video, run employee amplification and employer brand programs, design AI-powered production workflows, and track performance to iterate strategy.

Own an asset-class events portfolio spanning conferences, sponsorships, executive dinners, and hosted experiences. Partner with Sales to develop event strategy, target accounts, attendee journeys, budgets, vendors, and onsite execution. Measure pipeline, account progression, ROI, and follow-through, maintaining accurate campaign and attendee data. Improve event programs through performance insights, lead post-event processes, and build automations to reduce manual work. Travel is required for onsite event execution.

Build and operate production systems for Juniper Square’s AI Platform, including APIs, infrastructure, reusable frameworks, and AI/LLM capabilities. Own projects end to end, ensure reliability and observability, contribute to technical design, and support incident response. Collaborate with product, design, QA, and engineering teams while applying AI-native development practices. The role requires strong Python backend engineering, cloud-native technologies, databases, production operations, and hands-on experience with RAG, agents, evaluation workflows, or related AI systems.

Build and operate custom AI agents for private-market clients end to end, from discovery and requirements through deployment, rollout, adoption, and ongoing iteration. Design agentic systems with retrieval, context design, tool and MCP integrations, orchestration, evaluation, observability, and cost controls. Work directly with clients, make product and engineering trade-offs, manage cloud infrastructure, document solutions, train users, and mentor less experienced engineers.

Build and operate custom AI agents for private-market clients across discovery, requirements, design, full-stack development, deployment, and post-launch iteration. Translate ambiguous business needs into reliable software, integrate tools and client systems, establish evaluation and observability practices, and support adoption through documentation, training, and rollout. Collaborate directly with clients and internal platform teams while balancing speed, security, maintainability, and product impact.