Top Tech Jobs & Startup Jobs

The Director of Product Management for AI Generation Engine will lead product strategy and execution in Finance & Risk Modeling, focusing on innovative AI solutions and close collaboration with financial services clients.

The Replenishment Task Coordinator oversees replenishment tasks in a warehouse, ensuring organizational efficiency, inventory flow, and operational continuity while maintaining communication with team members.

The Tax Manager will oversee tax compliance, manage client interactions, conduct research, and assist with tax consulting projects, ensuring ongoing professional development.

The MSP Partner Success Manager is responsible for growing revenue through partner relationships, onboarding MSPs, and ensuring effective use of the AI-driven email security platform.

Own and scale Google and Microsoft paid search (Search, Performance Max, Demand Gen, Display, Video) and emerging AI formats. Build AI-informed bidding and experimentation roadmaps, analyze auction/query trends, partner with creative and analytics for tracking and attribution, evaluate AI-native placements, and serve as the company SME on search and AI platforms.

Design and operate backend services in Python/Django, focusing on APIs, data modeling, performance, and reliability. Collaborate with teams to enhance user workflows and support production issues.

Lead and supervise tax engagement teams, review tax returns and working papers, plan and budget engagements, train staff, communicate with clients, ensure compliance with professional and firm standards, and prepare or review tax-related reports and schedules.

Generate high-quality sales meetings across LATAM by researching target accounts, running multilingual outbound campaigns (English/Spanish/Portuguese), localizing content, partnering with AEs for territory alignment, demonstrating the Pendo platform, and maintaining Salesforce CRM hygiene to meet pipeline and quota goals.

As an IT Support Specialist, you will monitor and maintain client systems, troubleshoot technical issues, provide support, and enhance security protocols.

Design and implement scalable, secure systems and shared infrastructure for a computer vision platform. Build tooling, libraries, and automation to increase engineering efficiency, apply infrastructure-as-code and observability best practices, and collaborate with product, deep learning, and field engineering teams. Onsite in Palo Alto.