Own the technical setup of onboarding: API integrations, data mapping, CRM configuration.
Coordinate with the Onboarding Manager and cross-functional teams from kickoff to go-live.
Troubleshoot technical blockers, build runbooks, and track onboarding success metrics.
Euler is an AI-native PRM that modernizes partnership management, replacing spreadsheets and CRMs with automation and measurable ROI. The company grew 600% YoY in 2025, serves industry leaders, and values fast, intentional innovation.
Design, build, and maintain production-ready APIs and backend systems for AI-driven music generation.
Collaborate with research engineers to integrate evolving AI models into scalable, reliable infrastructure.
Take ownership of full-stack product features from discovery and design through deployment and launch.
CoreMusic builds AI-powered music and audio experiences for creators, developers, and businesses worldwide. They operate as a distributed, remote-first team that values autonomy, rapid experimentation, and technical excellence.
Design and develop new features for the iPaaS and APIM platform using a modern stack including C++, Java, and Lua.
Take ownership of projects from design through deployment, ensuring scalability, reliability, and performance in a 24x7x365 environment.
Work with distributed teams and mentor others while driving data-driven decisions in a remote culture.
Jitterbit automates and orchestrates business systems with a unified AI-infused low-code platform for integration, orchestration, automation, and app development. The company is a growing leader in the iPaaS space with a remote-first, collaborative culture that values curiosity, ownership, and continuous learning.
Design and improve AI systems for extracting structured reasoning signals from technical interviews.
Build LLM-powered pipelines for semantic analysis, behavioral feature extraction, and evaluation.
Develop scoring, calibration, and benchmarking methods grounded in measurable evidence.
APADCode is an early-stage AI startup building an AI-powered technical interview platform that evaluates how candidates reason and solve problems. The company is a small, early-stage team with a culture of high ownership, direct collaboration, and minimal bureaucracy.
Distributed pretraining: Implement and optimize model-parallel training on heterogeneous GPUs under low-bandwidth, high-latency links.
Performance optimization: Apply techniques that reduce communication overhead while maintaining model convergence in challenging network environments.
Elasticity and fault tolerance: Build robust checkpointing and recovery so runs survive node churn as participants join and leave.
Pluralis Research is a decentralized AI research company developing Protocol Learning to train large models on consumer devices across the internet. The team is world-class and deeply technical, backed by tier-1 investors, with a remote-first culture.
Work with a small, talented team to craft delightful user-facing experiences on the Cohere Dashboard.
Build resilient, mission-critical systems across browsers and servers using Next.js, TypeScript, React, and Python.
Collaborate with engineering colleagues through pairing, architecture design, and documentation to increase velocity.
Cohere is a security-first enterprise AI company that builds cutting-edge foundation models and end-to-end products for businesses. It is a global team of researchers, engineers, and designers passionate about their craft, with offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin, and Seoul.
Build and configure DTMF IVR menu trees and call flows on Google Cloud CCAIP using queue hierarchy and routing rules.
Integrate CRM connectors, virtual agent handoff, and CCAIP APIs while testing every menu path and supporting UAT.
Produce configuration documentation, call flow diagrams, and runbooks, following client change control and production processes.
Miratech is a global IT services and consulting company helping enterprises with digital transformation. With nearly 1,000 professionals across 25 countries, it is a values-driven organization known for a Relentless Performance culture and a 99% engagement success rate.
Own the inference stack end-to-end, including pipeline-parallel execution, placement and routing, transport, serving engine, and failure handling.
Invent and validate novel algorithms for fast inference on consumer hardware over the public internet, then put them into production.
Serve both RL training rollouts and final model serving in a permissionless, trustless setting.
Pluralis Research works on Protocol Learning: training and serving large models in a fully decentralized way on small consumer-grade devices connected via the internet. They are a world-class, deeply technical team backed by Union Square Ventures and other tier-1 investors.
Build the RL post-training stack end-to-end: rollout ingestion, reward computation, policy updates, and returning updated weights to the network.
Invent algorithms for asynchronous, high-latency, partially trusted generation, including staleness tolerance and off-policy corrections.
Ship the first decentralized post-trained models, building evals and taking the release from run to public artifact.
Pluralis Research is developing Protocol Learning, a decentralized approach to training and serving large models on consumer devices. We are a small, deeply technical team backed by Union Square Ventures, with a remote-first culture and team members spread globally.
Own technical support for developers building with AgentMail, debugging API requests, webhooks, and integrations.
Reproduce issues and determine whether something is expected behavior, developer error, a documentation gap, or a product bug.
Notice recurring questions and surface patterns to the team to fix underlying problems.
AgentMail gives AI agents their own email inboxes to help developers build agentic applications. We're a small, focused team that values developer experience and technical excellence.