MikMak

Role Description As our Director, Product Marketing, you will be responsible for shaping the go-to-market strategy, positioning, messaging, marketing execution and ongoing internal enablement and education about MikMak Aura, a groundbreaking new product initiative within the MikMak Platform. As a member of the marketing team partnering closely with product, engineering, and data teams, you will help bring key data modeling and AI capabilities on the roadmap to market. Reporting directly to the SVP of Marketing, you will work cross-functionally with internal stakeholders, marketing, partners, vendors, and customers to ensure strong product-market fit and successful go-to-market execution. Key Responsibilities - Collaborate with marketing, sales, and the commercial leadership team to develop messaging, positioning, enablement and go-to-market plans. - Contribute to competitive intelligence and pricing strategy to strengthen product positioning and market differentiation. - Act as a domain and product expert for internal teams and evangelize the product vision with strategic customers and external stakeholders, including industry analysts. - Work closely with the product management and marketing teams to create critical go-to-market deliverables such as product briefs, feature one-pagers, pitch decks, and competitive battlecards. - Own and drive internal sales training and product launch initiatives. - Partner with solution engineering and customer-facing teams to help with demos and deliver impactful customer enablement materials. - Gather and synthesize insights from customers, prospects, and internal stakeholders to influence the product vision and guide roadmap priorities. - Partner closely with product managers, data science and engineering teams to scope and deliver high-impact capabilities. - Work closely with the product management team to drive prioritization decisions using data, ROI, and customer feedback. - Participate in a collaborative, high-performing team culture that aligns with company values, while fostering career growth and skill development. Qualifications - 10+ years of experience, including 6+ years of product marketing experience in a fast paced SaaS product company. - Experience working on products/offerings related to marketing data ecosystems (media, retailer, first-party data) and measurement techniques such as Marketing Mix Modeling (MMM), multi-touch attribution (MTA), or incrementality testing. - Experience translating complex analytical and modeling concepts into actionable product requirements. - Prior experience with MMM and MarTech related insights/analytics is highly desirable. - Excellent verbal and written communication and storytelling skills; able to create compelling narratives and enable sales and marketing teams. - Strong organizational, analytical, and prioritization skills; thrives in a fast-paced and evolving environment. Education - Bachelor’s or Master’s degree in business, engineering, data science, or a related field; MBA is a plus but not required.

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.