Solutions Consultant

MikMak has a brand new opportunity for a Solutions Consultant.

Reporting to the Director of Solutions Engineering, you will serve as a technical‑commercial partner supporting Sales, Customer Success, and Product teams in driving adoption of MikMak’s commerce‑intelligence platform. This includes pre‑sales discovery, solution design, and value-driven execution by translating complex measurement, attribution, and retailer‑data challenges into clear, actionable solutions for enterprise prospects.

Primary 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.

Qualifications

• Experience: 5+ years of experience in Sales Engineering, Solutions Consulting, or a related technical-commercial role within the AdTech, MarTech, or analytics space.

• Domain Expertise: 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.

• Communication: Exceptional ability to distill complex scientific and technical concepts into digestible, persuasive advice for CMOs and VPs of Growth.

• Sales Acumen: Experience in ValueSelling or similar sales methodologies

• Operational Excellence: Highly organized with the ability to manage multiple complex technical workstreams simultaneously in a fast-paced environment.

• Travel: Ability to travel 10% to 25% for client meetings and industry events.

• Technical Skills: 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.

• Education: Bachelor’s degree in a quantitative or technical field such as Statistics, Economics, Computer Science, or Engineering.

Success Metrics

• Revenue Impact: Direct contribution to territory revenue targets and enterprise win rates through technical validation.

• Technical Trust: Speed and effectiveness in securing "technical win" status and overcoming hurdles during the sales cycle.

Solution Quality: The rigor and scientific accuracy of the testing roadmaps and data analyses delivered to prospective clients.