Jobs at Raydar

Lead product and engineering for a client-facing software platform. Own technical direction, architecture, product roadmap, user experience, and AI-driven workflow development. Build a scalable platform, prioritize stakeholder requests, hire and develop cross-functional technology talent, and remain hands-on with coding. The role requires hybrid work in Toronto three days per week and offers leadership responsibility across multiple business functions.

Lead and grow a high-volume sales team, own revenue forecasting and capacity planning, establish pipeline and coaching routines, recruit and onboard sales talent, set quotas, manage performance, and partner with marketing and operations to improve lead quality and handoffs.

Lead HR operations and client experience for a fast-growing legal services company. Build HR processes, tooling, compensation, payroll, hiring, and employee lifecycle systems while improving client satisfaction and reducing escalations. Use AI and workflow automation to increase capacity, potentially administer a practice management platform, and recruit and coach teams across talent acquisition, HR, and customer success. Establish performance standards and strengthen organizational culture during rapid growth.

Own and expand the partnerships function, growing partnership revenue, developing platform integrations and professional services channels, and building a high-performing partnerships team. The role manages partner relationships, defines product requirements with engineering and executives, drives adoption of embedded partner offerings, evaluates commercial economics, and recruits team members. This is a hybrid position based in Toronto.

Partners with a senior operations executive to lead strategic growth projects, pricing and service experiments, sales funnel analysis, operating scorecards, goal reviews, financial planning, P&L reporting, market research, and executive communications. The role drives organizational cadence, tracks performance, identifies growth opportunities, and supports decision-making through clear analysis and board-ready reporting.

Manages a small engineering team delivering a customer-facing product while contributing hands-on code. Responsibilities include technical design, roadmap planning, hiring, coaching, incident response, release reliability, and initiatives involving performance, analytics, experimentation, real-time data syncing, and generative AI workflows.

Lead the strategy and hands-on development of platform-wide design systems, including scalable interaction patterns, UX frameworks, mobile experiences, and AI-driven design-quality tools. Partner with engineers, product managers, and designers to improve design consistency and implementation quality across complex B2B products. Own initiatives from problem identification through prototyping and delivery while maintaining strong visual, interaction, accessibility, and code-adjacent design craft.

Lead the architecture and development of a core backend data platform for a high-growth consumer mobile application. Integrate third-party data providers, build blockchain indexing and real-time streaming infrastructure, and design scalable caching and database systems. Own backend platforms from initial design through production, make architectural decisions, and collaborate with product and company leadership. The role requires crypto experience, expertise in Rust or Go, scalable WebSocket operations, cloud and PostgreSQL experience, and backend platform ownership.

Own application-level code and infrastructure for long-running cloud environments. Build services that provision, monitor, secure, and scale virtual machines and containers; develop asynchronous messaging and job-processing systems; establish infrastructure-as-code conventions; and troubleshoot production operating system, networking, storage, and access-control issues.

Manage Canadian immigration matters across economic, provincial nominee, family, work permit, and inadmissibility files. Counsel clients throughout applications, represent them when needed, and use AI tools to improve legal workflows and client service. The role offers potential progression into leadership or managing attorney responsibilities and requires Canadian legal licensure, immigration law experience, Canadian work authorization, and availability during Eastern Time hours.

Build and ship full-stack conversational AI features, integrating speech recognition, text-to-speech, and large language models into reliable production systems. Improve latency, reliability, cost, developer experience, and platform foundations at enterprise scale. Collaborate with product and machine learning teams, own initiatives end to end, incorporate production feedback, and support customer-facing engineering work.

Own and improve CI/CD, developer tooling, agent harnesses, Kubernetes infrastructure, observability, cost management, and incident-response practices. Build platform capabilities that reduce engineering toil and improve delivery speed for conversational AI products. Participate in an on-call rotation for core infrastructure and help shape reliable, scalable systems across a fully remote engineering organization.

Own and evolve the company’s visual identity across web, campaigns, social, sales collateral, events, and merchandise. Translate complex voice AI concepts into clear diagrams, illustrations, and marketing graphics. Build scalable brand systems, templates, and standards while partnering with product, marketing, and executive teams. Execute hands-on across digital, print, and experiential media with limited direction and high craft.

Own the company’s AI-powered quality and release infrastructure as its first dedicated hire. Build agent-run test harnesses, LLM graders, regression coverage, release gates, fresh-install and upgrade verification, and natural-language UAT. Manage CI health, artifact publication, deployment pipelines, credentials, certificates, and staging environments. Write production Python code, convert escaped bugs into regression tests, and provide trusted release-readiness evidence through dashboards, runbooks, retrospectives, and operating policies.

Conduct original research on reliable agentic AI, developing methods for simulation, evaluation, optimization, regression control, and continuous learning. Analyze agent failures, traces, and human feedback; create experiments and prototypes; and translate research into production-facing systems. Collaborate with product and engineering teams, contribute to technical strategy, and provide rigorous experimental evidence. The role requires strong research depth, publication or open-source contributions, hands-on Python development, and expertise in LLM agents or agentic systems.