Product Specialist (Media Mixed Marketing/MMM))

Summary

Tinuiti is an independent full-funnel marketing agency that unites media and measurement to help marketers drive measurable growth. The Product Specialist will support the implementation of Tinuiti's marketing mix modeling products by scoping engagements, coordinating technical data onboarding, preparing model readouts, and translating complex outputs into actionable client recommendations. The role also leads cross-functional coordination, client data science engagement, and process optimization through AI and automation.

Responsibilities

• Product Scoping: Partner with Sales pre-SOW to assess product-client fit, define the right model scope (e.g., DTC vs. DTC and Commerce), and provide input on SOW language to ensure commitments are accurate and achievable
• Technical Onboarding: Support end-to-end data onboarding for all MMM engagements, serving as the primary technical resource for client data questions while partnering with Client Reporting, Client Delivery, and Econometrics
• Pre-Readout Enablement: Partner with Client Delivery to prepare for the first model readout — helping the team understand model outputs and coaching them on how to use our toolkit to frame budget recommendations and strategic decisions for the client
• Client Data Science Engagement: Lead methodology walkthroughs for client data science teams, fielding technical questions about model construction, assumptions, and outputs
• Cross-Functional Coordination: Serve as the central point of contact across Client Reporting, Econometrics, Sales, and Client Delivery — ensuring continuity, preventing over-promising, and holding stakeholders accountable to timelines
• AI-Powered Efficiency & Process Optimization: Identify and implement opportunities to use AI tools, agents, and automation to make workflows faster and more scalable. Standardize implementation processes into practical, repeatable products
• Product Feedback: Synthesize engagement patterns and client feedback to inform feature development and improve the overall offering

Skills

• * Mathematical Proficiency: Strong background in data analysis, statistics, or a related technical field — able to understand model methodologies and explain outputs to both technical and non-technical audiences
• * Project & Stakeholder Management: Proven ability to manage multiple concurrent engagements — building timelines, sequencing dependencies, and holding cross-functional partners accountable without direct authority
• * Data Literacy: Comfort in the "messy middle" of data and user needs, with an ability to simplify complex data sets into clear, actionable insights
• * Strategic Communication: Able to translate the "why" behind the "what" for internal stakeholders and external clients, including C-suite executives and client data science teams
• * Proactive Ownership: A "Maker's Mindset" — proposes solutions and drives projects forward with minimal hand-holding
• * Collaboration & Engineering Empathy: Experience partnering with model builders on technical hand-offs and QA
• * Automation & AI Fluency: Demonstrated comfort using AI tools and automation to improve process efficiency, with a curiosity to keep pushing that capability forward
• * Client-Facing Experience: Comfortable with C-level executives and technical decision-makers; experience in a customer-facing or new-business-oriented role is a plus

Qualifications

Must Haves

• * Mathematical Proficiency: Strong background in data analysis, statistics, or a related technical field — able to understand model methodologies and explain outputs to both technical and non-technical audiences
• * Project & Stakeholder Management: Proven ability to manage multiple concurrent engagements — building timelines, sequencing dependencies, and holding cross-functional partners accountable without direct authority
• * Data Literacy: Comfort in the "messy middle" of data and user needs, with an ability to simplify complex data sets into clear, actionable insights
• * Strategic Communication: Able to translate the "why" behind the "what" for internal stakeholders and external clients, including C-suite executives and client data science teams
• * Proactive Ownership: A "Maker's Mindset" — proposes solutions and drives projects forward with minimal hand-holding
• * Collaboration & Engineering Empathy: Experience partnering with model builders on technical hand-offs and QA
• * Automation & AI Fluency: Demonstrated comfort using AI tools and automation to improve process efficiency, with a curiosity to keep pushing that capability forward

Nice to Haves

• * Client-Facing Experience: Comfortable with C-level executives and technical decision-makers; experience in a customer-facing or new-business-oriented role is a plus

Benefits

• 100% remote work
• Unlimited paid time off
• 20 paid holidays, including multiple long weekends
• Medical, Dental, Vision, Life & Disability
• Flex Spending Accounts
• Retirement match up to 4% of your contributions at 100%
• Fringe
• Forma
• Unlimited Telemedicine and Teletherapy available at no cost
• Thankful giving
• Equity
• Birthing parents receive 16 weeks of leave with 100% pay after the birth or adoption of a child
• Partners receive 12 weeks of leave with 100% pay after the birth or adoption of a child
• On-demand learning
• Mentorship program
• Leadership and management development programs and resources
• Discretionary performance bonus