Note: The job is a remote job and is open to candidates in USA. ShyftLabs is a company focused on helping Fortune 500 companies unlock growth through innovative digital solutions. They are seeking a Sales Engineer (AI & Data Platforms) to bridge the gap between enterprise data and AI capabilities, translating business challenges into operational solutions while collaborating with various stakeholders.
Responsibilities
- Own the technical narrative in enterprise deals: Translate ambiguous client challenges into structured problem definitions and solution architectures grounded in real-world constraints such as data availability, infrastructure, and governance. Clearly articulate why proposed solutions will succeed and where alternative approaches fall short
- Turn conversations into working systems (fast): Build prototypes, POCs, and demos using real or representative data to validate feasibility and demonstrate impact. Integrate AI into existing workflows, showcasing decision systems, automation layers, and agent-driven processes rather than isolated models
- Make AI real for clients: Shift discussions away from theoretical models toward practical applications, including decision systems, automation frameworks, and human-in-the-loop workflows. Help clients identify where AI creates meaningful leverage versus unnecessary complexity
- Quantify and anchor business value: Define and communicate ROI tied directly to revenue growth, cost savings, or operational efficiency. Ensure every solution is grounded in measurable outcomes and support outcome-based pricing and statement of work (SOW) development
- Partner with leadership and delivery teams: Collaborate directly with the founding team and senior leadership on strategic opportunities. Work closely with engineering to ensure solutions are feasible, scalable, and aligned with delivery capabilities
- Drive complex enterprise deals forward: Engage both technical and business stakeholders (CIO, CDO, Product, Operations), handle objections with clarity and logic, and guide conversations toward decisive outcomes rather than prolonged exploration
Skills
- Strong understanding of data architecture, including data warehouses, pipelines, and streaming systems
- Experience with AI/ML systems, including LLMs, agent-based systems, and applied AI use cases
- Ability to design solution architectures that integrate with existing enterprise ecosystems
- Hands-on experience prototyping with SQL, Python, APIs, or dashboards
- Proven ability to quickly translate ideas into tangible proofs of concept
- Systems-level thinking, with a focus on end-to-end workflows rather than isolated features
- Strong understanding of how businesses generate revenue and manage costs
- Ability to connect technical solutions directly to financial and operational outcomes
- Experience supporting or influencing complex deal cycles
- Clear, structured, and concise communication style
- Ability to simplify complex technical concepts for diverse audiences
- Comfortable engaging with engineers, operators, and executive stakeholders
- 4+ years in solution engineering, data, AI, consulting, or product-focused roles
- Proven experience working in client-facing environments and managing ambiguity
- Track record of taking AI or data solutions from POC to production
- Experience supporting or closing enterprise AI/data platform deals ($500K–$5M+)
- Background in consulting or building data/AI products in production environments
- Experience with workflow automation, decision systems, or agent-based architectures
- Familiarity with modern data stacks and cloud platforms (GCP, AWS, Azure)
Benefits
- Hybrid Flexibility: 3 days per week in our downtown Toronto office. This role is also open to candidates based out of the New York area.
- Comprehensive Benefits: 100% coverage for health, dental, and vision insurance for you and your dependents from day one.
- Continuous learning opportunities and influence over technical direction.
Company Overview