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.
To further our commitment to driving the growth of S32's portfolio companies, we are looking for experienced Forward Deployed Engineers who are enthusiastic about developing products with clients.
If you are excited about making a significant impact, shaping a company's direction, and advancing your career, we would love to connect and discuss potential opportunities.
About us: S32 is a venture capital firm investing at the frontiers of technology. Founded by Bill Maris, the team has vast experience building iconic companies. Our goal is to accelerate the discovery, development, and distribution of revolutionary technologies that improve the human condition. We invest across the entirety of technology. This includes artificial intelligence, enterprise software, cybersecurity, fintech, quantum computing, computational biology, and biotechnology.
CompensationThe base pay range for this role is $170,000 – $280,000 per year.
Similar Jobs
Software
Embed with healthcare customers to understand workflows, design and deploy AI-powered solutions, build production systems and integrations, and own deployments from scoping through iteration. Translate ambiguous business requirements into reliable technical architectures, collaborate with Product and Engineering, monitor systems, and identify deployment patterns that inform scalable product and platform improvements.
Top Skills:
Agent FrameworksAPIsAWSAzureGCPJavaScriptLlmsPrompt EngineeringPythonTypescriptVector Databases
Artificial Intelligence • Automotive • Information Technology • Software
Implement customer projects using Python, machine learning, and deep-learning tools for engineering, physics, CAD, CAE, and manufacturing workflows. Develop proofs of concept, analyze project data, train customer teams, and translate customer feedback into product improvements. The role requires strong engineering and machine-learning knowledge, simulation experience, customer-facing communication, and travel to US customer locations.
Top Skills:
CadCaeCfdDeep LearningFemMachine LearningNc PlatformPython
Artificial Intelligence • Software • Generative AI • Infrastructure as a Service (IaaS)
Work directly with customers through technical evaluations, implementation, production, and ongoing support. Lead customer calls, pairing sessions, and technical deep dives; build integrations, debug APIs and production systems, and ship full-stack product improvements. Translate customer needs into lasting product solutions, communicate clearly, manage multiple priorities, and influence the product roadmap through customer feedback.
Top Skills:
APIsFull-Stack EngineeringIntegrationsProduction Systems
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.



