Solutions Consultant
New
M
MikMakAdTech, MarTech, analytics
USFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLSnowflakeBigQuery
Requirements
- 5+ years of experience in Sales Engineering, Solutions Consulting, or a related technical-commercial role within the AdTech, MarTech, or analytics space.
- Deep understanding of the modern marketing ecosystem, including experience with Media Mix Modeling (MMM), incrementality testing, causal inference, and the evolving landscape of digital measurement and attribution.
- Exceptional ability to distill complex scientific and technical concepts into digestible, persuasive advice for CMOs and VPs of Growth.
- Experience in ValueSelling or similar sales methodologies.
- Highly organized with the ability to manage multiple complex technical workstreams simultaneously in a fast-paced environment.
- Ability to travel 10% to 25% for client meetings and industry events.
- Bachelor’s degree in a quantitative or technical field such as Statistics, Economics, Computer Science, or Engineering.
- SQL and Python for data analysis is highly desirable but not essential.
- Comfortable working with large datasets and cloud-based data warehouses (e.g., Snowflake, BigQuery) to extract and present insights.
Responsibilities
- Partner with Account Executives to conduct deep-dive discovery, identifying measurement gaps, omnichannel attribution needs, and data-integration requirements for advanced measurement solutions.
- Translate prospect pain points into structured solution recommendations aligned to MikMak’s data, analytics, and integration capabilities.
- Create technical narratives, materials and executive-ready insights that help sellers articulate MikMak’s platform capabilities and demonstrate incremental value.
- Address technical questions related to advanced marketing measurement, data privacy, retailer data limitations, and integration architecture, escalating complex issues to the Director of Solution Engineering as needed.
- Ensure prospects understand methodologies, measurement tradeoffs, data quality constraints, and platform capabilities.
- Support high-stakes presentations by simplifying complex technical concepts for non-technical stakeholders.
- Capture customer requirements, including data scoping and integration feasibility, and surface recurring technical themes to Product and Engineering to inform roadmap prioritization.
- Collaborate with Customer Success to ensure smooth handoff from pre-sales to implementation.
- Develop internal playbooks, discovery templates, and integration readiness guides to improve consistency across the sales cycle.
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