Top Tech Jobs & Startup Jobs

Provide technical support and product expertise to customers, specializing in the P3L pricing language and third-party integrations. Troubleshoot and configure customer requests, handle high-volume support cases, deliver training, surface product feedback, and partner with Customer Success to drive adoption and expansion.

Lead enterprise implementations for a SaaS startup, guiding customers through project management, system integrations, and process transformations while ensuring value and effectiveness in execution.

The Senior Technical Project Manager leads enterprise implementations, driving project delivery, managing resources, and achieving business outcomes while collaborating with customers and internal teams.

Lead enterprise implementations by overseeing project delivery, managing resources, facilitating process change, and ensuring strong customer adoption and value.

The Senior Technical Project Manager leads enterprise implementations, manages project delivery, partners with customers to improve workflows, and ensures successful outcomes through strategic project management and stakeholder engagement.

The Business Development Representative will engage in outbound sales, manage leads using Salesforce, and support marketing efforts while fostering DEI initiatives.

Own a book of strategic B2B SaaS customers to drive product adoption, retention, renewals, and expansion. Act as trusted advisor to executives, manage escalations, forecast renewal/expansion outcomes, identify growth opportunities, and collaborate across Sales, Product, and Support to improve customer ROI and outcomes.

Build and maintain full-stack features across Python backends and React frontends, design secure APIs, apply AI tools across the SDLC, mentor engineers, improve testing/observability, and collaborate with product and design to deliver scalable, production-ready systems.

Build and maintain full-stack features for a SaaS manufacturing platform: design and document APIs, work with frontend and backend stacks, use AI coding assistants, improve quality via tests and tooling, and collaborate cross-functionally to ship secure, scalable software.

Lead a small ML engineering pod to turn research into production: design and operationalize training pipelines and low-latency inference services for computer vision, document intelligence, and predictive models. Drive R&D execution, benchmarking, prototyping, migrations from frontier models to fine-tuned/open-source solutions, and mentor early-career engineers while aligning research with product timelines.