Top Tech Jobs & Startup Jobs

Architects and ships production agentic AI systems, including multi-agent orchestration, RAG pipelines, evaluation infrastructure, and observability. Establishes reusable technical standards, makes architecture and build-versus-buy decisions, mentors engineers, and communicates technical choices to executives and clients. The role requires hands-on Python and TypeScript/React development, rapid delivery of ambiguous client solutions, and frequent use of AI coding tools. Client-site travel is required as needed.

Build and deploy production multi-agent AI systems and RAG pipelines for client engagements. Develop agent logic, prompts, tools, evaluation frameworks, and observability systems. Translate client requirements into technical tasks, ship rapidly, and collaborate with AI, data, and product teams. Senior engineers independently own AI workstreams end to end and present architecture decisions to stakeholders.

Write and edit marketing content across websites, sales materials, thought leadership, social media, internal communications, and executive LinkedIn channels. Translate complex AI, technology, financial, and consulting topics into clear narratives and derivative content formats. Partner with executives, subject matter experts, and marketing colleagues to maintain brand voice, support growth, and manage multiple writing workstreams and deadlines.

Provides specialized helpdesk support for enterprise AI tools, troubleshooting access, performance, integrations, and outages. Maintains issue documentation, monitors system readiness, validates configurations, supports AI training and tool rollouts, captures user feedback, and contributes to adoption reporting. The role also helps maintain AI governance, security, data management, and support procedures while recommending improvements to user experience and system effectiveness.

The VP of Data Science & Strategy will transform complex business challenges into actionable growth strategies, leveraging data to influence decisions and drive company strategy.

The ERP Architect & Engagement Lead manages ERP implementations, collaborates with CFOs on data solutions, and leads complex finance system architectures.

As an AI Product Manager, you will translate client problems into engineering requirements, manage sprints, and collaborate with AI engineers to deliver AI-powered financial solutions.

Lead NetSuite implementations and optimizations: gather and translate client requirements, configure and customize NetSuite environments, run client workshops, develop proofs of concept, support pre-sales scoping, and provide ongoing client support and project leadership.

Partner with portfolio-company leaders to translate business problems into quantitative frameworks, build predictive models and analyses, and drive strategy and execution. Lead AI assessments, identify growth opportunities, present recommendations to executives, and implement measurable data-driven initiatives across finance, pricing, operations, and marketing.

As an Associate, you'll support transaction-related projects by analyzing financial data, creating presentations, and preparing companies for sale in collaboration with various finance teams and clients.