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Owns the agentic tools platform that powers ZoomInfo's multi-agent orchestration system, defining tools, integrations, and standards for AI agents across products like Copilot and GTM Studio.
Product Designer at F2, an AI platform that turns unstructured deal materials into insights for private markets investors (private credit, banks, PE). Leads end-to-end design — research, prototyping, interaction design, UI — and builds design systems for a complex B2B AI product used by investment professionals.
Analyze data to drive insights for autonomous robots and automation products in last-mile logistics, using SQL, Python, and BI tools.
Owns the product that generates accurate delivery-time estimates for Wolt’s customers, using ML models and cross-functional collaboration to balance speed, reliability, and profitability.
Senior Test Engineer ensures software quality and reliability by embedding testing into the development lifecycle, designing automated frameworks (Playwright/Cypress), and collaborating with teams to deliver scalable, high-performance solutions for AI-driven enterprise products.
Lead a team of ML engineers building AI systems that help restaurant partners thrive on DoorDash, from onboarding to real-time order ops, using LLMs, generative AI, and agentic automation.
Lead AI-driven ranking and relevance systems for DoorDash’s ads marketplace, designing and deploying ML/LLM models to personalize ad delivery in real time across global markets.
Build and deploy large-scale ML systems that power real-time logistics decisions like delivery assignment and ETA estimation, shaping DoorDash’s fulfillment efficiency and cost.
Research and build AI agent systems to improve DoorDash’s logistics and user experiences, deploying solutions at real-world scale with reinforcement learning and multi-agent techniques.
Leads AI research at DoorDash, defining the research agenda, hiring, and culture for an org focused on deploying cutting-edge AI models in logistics and marketplace dynamics using proprietary data and compute resources.
Design statistical methods and standards for experimentation across DoorDash, Deliveroo, and Wolt, partnering with engineering to build the platform and decide where AI fits in the process.
Senior SRE building and operating CI/CD pipelines, Kubernetes clusters, and monitoring for AI-powered maritime defense systems using Terraform, Docker, and cloud platforms.
Senior AI Engineer builds and leads AI platforms for a healthcare data company, focusing on GenAI models, pipelines, and agentic systems to improve decision-making for health plans.
Product manager at AI lab Thinking Machines Lab acting as a high-trust partner to post-training researchers on frontier models (Inkling, Tinker) — connecting research priorities, model behavior, evaluations, data/environments, infrastructure, safety and user learning into product decisions. Based in San Francisco, paying $350k–$450k.
Builds the backend services behind Vasco's AI revenue agents — including its context, metrics, and plan engines — owning work from shaping through release, with a focus on securely handling customer revenue data and AI-native practices (Claude Code). Core stack: GCP, BigQuery, Node.js, TypeScript, Terraform; hybrid in Montreal.
Build and lead the web design team while developing full-stack apps, internal tools, and AI-driven automations for a Salesforce-focused agency in Mexico City.
Owns network architecture for Scale's Generative AI Platform (SGP), defining standards for VPC design, private connectivity, DNS, and Kubernetes/Istio traffic across AWS, Azure, and GCP — including customer-owned, GovCloud, and air-gapped environments. Day to day: design review, connectivity patterns into customer clouds, and debugging multi-cloud traffic.
Senior engineer building the distributed runtime infrastructure behind Moveworks' AI agents at ServiceNow: an agent orchestration engine, lease-based session management, and event-driven pipelines serving millions of enterprise users. Core stack: Python/Go asyncio, DynamoDB, Redis, Kafka/SQS, gRPC, and OpenTelemetry.
Vasco, an AI startup building a revenue context layer and AI agents for GTM teams, is hiring a GTM Product Manager (internally: GTM Operator in Residence) in Montreal. The hire embeds with a squad of two designers and eight engineers, bringing RevOps operating experience to shape, ship, and refine the product, and teach the team operator-grade judgment.
Build and optimize AI frameworks, networking, systems, and tools in C/C++/Python to run models across hardware from supercomputers to edge devices, collaborating with hardware teams and ML researchers.
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