Solutions Engineer

Tinuiti • Remote -NY, NY

1d • $95,000 - $185,000 • Remote

About The Position

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 management — 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.

Requirements

• 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.
• Proven ability to manage multiple concurrent engagements — building timelines, sequencing dependencies, and holding cross-functional partners accountable without direct authority.
• Comfort in the "messy middle" of data and user needs, with an ability to simplify complex data sets into clear, actionable insights.
• Able to translate the "why" behind the "what" for internal stakeholders and external clients, including C-suite executives and client data science teams.
• A "Maker's Mindset" — proposes solutions and drives projects forward with minimal hand-holding.
• Experience partnering with model builders on technical hand-offs and QA.
• Comfortable with C-level executives and technical decision-makers; experience in a customer-facing or new-business-oriented role is a plus.
• Demonstrated comfort using AI tools and automation to improve process efficiency, with a curiosity to keep pushing that capability forward.

Responsibilities

• 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.
• 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.
• 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.
• Lead methodology walkthroughs for client data science teams, fielding technical questions about model construction, assumptions, and outputs.
• 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.
• 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.
• Synthesize engagement patterns and client feedback to inform feature development and improve the overall offering.

Benefits

• Unlimited PTO
• 20 paid holidays, including multiple long weekends
• Fully remote environment
• Medical, Dental, Vision, Life & Disability, Flex Spending Accounts
• 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 (partners 12 weeks) after the birth or adoption of a child.
• On-demand learning, mentorship program, leadership and management development programs and resources

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed