Solutions Engineer
Who we are:
Tinuiti is the largest independent full-funnel marketing agency in the U.S. across the media that matters most, with $4 billion in digital media under management and more than 1,200 employees. Built for marketers who demand growth and accountability, Tinuiti unites media and measurement under one roof to eliminate waste—the biggest growth killer of all—and scale what works. Its proprietary technology, Bliss Point by Tinuiti , reveals the truth around growth and waste, and how to capitalize on it. With expert teams across Commerce, Search, Social, TV & Audio, and more, Tinuiti delivers measurable results with brutal simplicity: Love Growth. Hate Waste.
We support 100% remote work for this role!
We’d love to hear from you if:
Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. So if you think you qualify, but don't necessarily meet every single point on the job description, please still get in touch.
The MMM Solutions Engineer is a critical bridge role responsible for the successful implementation of Tinuiti 's Bliss Point Data Scientific MMM Products. This role engages pre-SOW signing and stays closely involved through data onboarding and the client's first model readout — ensuring every engagement is technically sound, strategically set up, and delivered on time.
The ideal candidate has a strong technical background, the ability to interpret complex model outputs and translate them into actionable insights, and the communication skills to coach and enable client-facing teams. Strong technical project maclient retention (diana has specifically requested that we recruit externally, in addition to internal candidates)
nagement — coordinating stakeholders and holding teams to milestones — is essential, as is a comfort with process engineering and automation to make deployments more scalable over time.
Key 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.
Required Skills & Qualifications
-
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: C