Staff Software Engineer, Go-to-Market Systems & AI
New
J
JobgetherSecurity & IT
Based in the United StatesFull-TimeStaff
Salary222,900 - 334,300 CAD per year
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Job Details
- Experience
- Minimum of 12 years of related professional experience with a Bachelor’s degree, 8 years with a Master’s degree, 5 years with a PhD, or equivalent professional experience.
- Required Skills
- Software EngineeringLLMCRM
Requirements
- Minimum of 12 years of related professional experience with a Bachelor’s degree, 8 years with a Master’s degree, 5 years with a PhD, or equivalent professional experience.
- Proven experience setting technical direction and delivering complex, business-critical systems across multiple teams or functional areas.
- Strong experience designing, building, and operating production software incorporating large language models, AI agents, tool calling, retrieval, workflow orchestration, or related AI technologies.
- Demonstrated ability to take AI capabilities from prototype through production, including evaluation, observability, security, reliability, and appropriate human oversight.
- AI-native engineering mindset, with experience using AI tools throughout the development lifecycle.
- Excellent software engineering and system design capabilities, with the ability to work hands-on across application, service, integration, and data layers.
- Strong technical leadership skills demonstrated through influence, mentorship, architecture, design reviews, and direct engineering contribution.
- Strong judgment and problem-solving ability, with the capacity to navigate ambiguity, assess technical and business tradeoffs, and influence senior technical and business stakeholders.
- Excellent communication and collaboration skills.
Responsibilities
- Own the technical strategy, architecture, and long-term evolution of the go-to-market systems and technology stack.
- Design, build, deploy, and operate production-grade AI agents and automated workflows that reduce manual sales activities, improve decision-making, and increase sales productivity.
- Lead technical execution across initiatives of varying complexity by establishing direction, breaking down ambiguous problems, reviewing designs, and supporting engineers in delivering high-quality solutions.
- Remain hands-on throughout the complete software development lifecycle, including prototyping, architecture, implementation, testing, deployment, monitoring, and production operations.
- Partner with Sales and Sales Strategy & Operations to understand workflows, identify high-value opportunities, and translate business challenges into scalable technical solutions.
- Establish engineering patterns, evaluation methodologies, and guardrails for AI systems that are reliable, observable, secure, and appropriate for handling sensitive business information.
- Make informed build-versus-buy decisions and lead integrations across internal platforms, CRM systems, data services, and third-party technologies.
- Raise engineering standards through mentorship, architecture guidance, technical reviews, and direct contribution to critical projects.
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