Top Tech Jobs & Startup Jobs in Vancouver

Design developer tools for testing, evaluating, debugging, and observing AI voice agents. Translate dense real-time data into clear interfaces, create AI-native workflows, prototype in code, collaborate closely with engineers, and contribute polished patterns to a design system for technical users.

Own 8–10 technical searches end to end, partnering with engineering leaders to define roles, source senior infrastructure, backend, SDK, and AI talent, close candidates, and build recurring talent pipelines. The recruiter will improve recruiting systems, sourcing playbooks, interview processes, and candidate experience while serving as a strategic talent partner to engineering teams.

Own the product organization’s operating system, including planning cadence, roadmap management, goal tracking, reporting, product development standards, launch readiness, customer insight systems, PM onboarding, tooling, and team development. Partner with product leadership, data, marketing, sales, success, and engineering to improve product execution and organizational effectiveness.

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and model release gates. Run end-to-end training experiments, select open-weight models, improve tool-using and multi-turn behavior, deploy models to production, and iterate using real-world usage. The role emphasizes Python engineering, reinforcement learning, GPU-based training, data quality, reward design, and production machine learning.

As a Senior Product Engineer, you'll build user-facing products on the LiveKit platform in TypeScript and Go while engaging with developers and contributing to strategic decisions.

The role involves designing and evolving core systems at LiveKit, implementing resilient architectures, and building tools to enhance system reliability and developer speed. Strong distributed systems experience and programming skills are essential.

Design and develop functionalities for the Agents framework, iterate on feedback, and create documentation while working with various programming languages.

Design, implement, and operate low-latency, highly available distributed control, data, and observability systems. Build region-spanning architectures, libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, testing, and real traffic; and shape platform capabilities around identity, scheduling, observability, and distributed state management.

Own and engineer the GTM stack: Salesforce as source of truth and HubSpot as marketing system; build and maintain integrations, data flows to the data platform, observability, change management, and agentic AI workflows that act on GTM signals to automate revenue operations.

Own the LiveKit Telephony product strategy and roadmap, spanning SIP trunking, native phone numbers, carrier integrations, global expansion, reliability, call quality, pricing, packaging, and margins. Partner closely with engineering, enterprise customers, and carriers to improve interoperability, regulatory coverage, and production-scale voice AI experiences. Gather customer and operational insights, prioritize initiatives, and drive a polished developer-facing product in a fast-moving environment.