Top Tech Jobs & Startup Jobs in Vancouver

Develop products directly with clients to support the growth and strategic direction of S32 portfolio companies. The role involves collaborating with clients, shaping product direction, and delivering meaningful technology solutions. S32 invests across areas including artificial intelligence, enterprise software, cybersecurity, fintech, quantum computing, computational biology, and biotechnology.

Partner with S32 portfolio companies as a founding recruiter to design and lead early-stage hiring and talent strategies, drive growth by owning hiring projects from concept to launch, and shape company direction through hands-on recruiting and talent development.

Work with S32 portfolio companies to embed security across the software development and deployment lifecycle. Influence technical direction, implement DevSecOps practices, secure CI/CD and infrastructure, and collaborate with engineering teams to improve security posture and processes.

Senior front-end engineer responsible for developing products end-to-end, owning projects from concept through launch, and shaping company direction to drive growth across portfolio companies.

S32 seeks Applied AI Research Scientists to explore new approaches, algorithms, and methodologies to advance AI systems across portfolio companies. Candidates will drive research, shape company direction, and collaborate with founders to apply research outcomes to product and business needs.

Design and build machine-learning-driven robotic systems that operate in the real world, support portfolio company growth, influence product and technical direction, and advance company and career outcomes.

Join as a Founding Account Executive to build revenue engines and own go-to-market strategy for early-stage portfolio companies. Drive traction to scalable growth, shape commercial direction, and accelerate company and personal growth within a venture-backed, high-growth environment.

Seeking Mechanical Robotics (Humanoid) engineers to build intelligent, embodied systems that operate in the real world. Impact company direction, advance your career, and collaborate with portfolio companies to develop humanoid robotic hardware and systems.

Senior Machine Learning Engineers will develop ML products and lead projects end-to-end—from initial concept through final launch—across S32 portfolio companies. Candidates should drive product direction, have strong ML engineering and productization experience, and make significant business impact.

Lead demand generation and marketing for early-stage portfolio companies: build scalable growth engines, own go-to-market strategy from initial traction to sustained momentum, shape commercial direction, and drive measurable growth across channels.