Solutions Engineer, Enterprise East
Leads the technical sales motion for enterprise customers, from discovery and solution architecture through demonstrations and proof-of-concept validation. Requires 5+ years of enterprise pre-sales or solutions engineering experience and strong familiarity with modern data ecosystems.
About the job
Responsibilities
- Lead technical discovery to understand customers’ data architecture, marketing workflows, and business objectives, translating findings into requirements and solution designs.
- Design and deliver tailored demonstrations and architectural solutions across Customer Studio, Identity Resolution, Match Booster, and the Agentic Marketing Platform.
- Run proof-of-concept engagements end to end, including scoping, design, execution, and validation.
- Build technical relationships with data engineers, architects, and marketing technologists.
- Navigate multi-stakeholder buying committees, engaging technical teams, marketing leaders, and executives.
- Advise enterprise customers adopting AI workflows, data activation, and agent-based decisioning capabilities.
- Partner with Product and Engineering on go-to-market strategy for emerging AI and agentic products.
- Use modern AI tooling to improve the Solutions Engineering workflow.
- Travel for customer and team engagements.
Requirements
- 5+ years of progressive enterprise pre-sales or solutions engineering experience, including complex solution architecture across multi-stakeholder buying cycles.
- Experience leading technical discovery, architectural whiteboarding, and solution design with technical, business, and executive audiences.
- Deep familiarity with cloud data warehouses, data modeling, data engineering, integrations, APIs, and modern data ecosystems.
- Ability to build technical champions and influence buying committees across engineering, marketing, and executive teams.
- Experience with competitive enterprise sales motions.
- Intellectual curiosity, ambition, humility, and a team-first orientation.
Nice-to-haves
- Familiarity with MEDDPICC, Command the Message, or equivalent value-selling frameworks.
- Hands-on experience with Customer Data Platforms, marketing automation, data warehouses, or similar technologies.
- Experience collaborating with data engineering, data science, or analytics teams.
- Experience at a high-growth B2B SaaS company.
Compensation
- On-target earnings: CA$215,000–CA$270,000 annually.
- Base salary: CA$150,000–CA$189,000 annually.
- Equity compensation in the form of ISO options.
Skills
Solutions Architecture, Technical Discovery, Architectural Whiteboarding, Cloud Data Warehouses, Data Modeling, Data Engineering, APIs, Customer Data Platforms, Marketing Automation, Proof Of Concept, MEDDPICC, AI Tools
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