Job Description

Role Overview:
The Solution Engineer will be responsible for providing expert technical support and guidance to our clients by working closely with the marketing, data, and analytics teams. This role combines deep technical skills with marketing acumen to ensure that our clients successfully implement and utilize Keen’s Bayesian regression models, marketing mix models, and probabilistic revenue forecasting models. You will act as a trusted advisor, helping clients maximize the value of Keen's platform to improve marketing/media planning, optimize investments, and forecast financial outcomes.

This role requires a strong background in both data science and marketing analytics, as well as a passion for solving complex problems. You will work closely with cross-functional teams, including product development, marketing, and customer success, to provide technical expertise that supports the overall client strategy and success.

Key Responsibilities:

1. Solution Design & Implementation:

• Collaborate with clients to understand their business needs and design customized solutions using Keen’s platform.
• Lead the implementation of Bayesian regression models and marketing mix models, ensuring high-quality execution and alignment with client objectives.
• Guide clients in the use of probabilistic modeling for revenue forecasting, ensuring accurate predictions and actionable insights.

2. Marketing Knowledge & Awareness

• Utilize deep marketing insights to support clients in achieving goals related to brand positioning, customer acquisition, and market growth.
• Understand the nuances of various marketing channels and tactics to provide strategic guidance in optimizing spend across digital and traditional media formats.
• Stay informed on industry trends, including shifts in consumer behavior and competitive landscapes, to offer forward-looking recommendations.
• Leverage experience with marketing data sources (e.g., CRM, advertising platforms) to integrate valuable insights into Keen’s models, ensuring alignment with current market demands.
• Act as a bridge between technical expertise and marketing strategy, enabling clients to utilize data for actionable marketing insights and measurable financial impact.

3. Data Integration & Management:

• Work with client teams to aggregate, cleanse, and upload marketing and media planning data into the Keen platform.
• Support clients in setting up data sources, ensuring seamless integration with Keen’s data warehouse and mapping capabilities.
• Assist clients in interpreting data outputs and leveraging insights for strategic planning.

4. Technical Support & Troubleshooting:

• Provide ongoing technical support to clients, troubleshooting any issues related to model setup, data quality, and platform use.
• Perform model quality checks, including statistical fit, ROI analysis, and ensuring models align with real-world conditions and client goals.
• Deliver platform training sessions to empower clients to become self-sufficient in using the Keen platform.

5. Cross-Functional Collaboration:

• Work closely with the product development team to provide feedback on platform enhancements and new features that improve the client experience.
• Collaborate with the marketing and sales teams to align technical capabilities with customer needs and ensure smooth pre-sales and onboarding processes.

6. Client Success & Optimization:

• Serve as a technical advisor to clients, helping them understand and optimize their use of Keen’s platform for better decision-making.
• Assist in creating reports, decks, and presentations that communicate model insights and support client decision-making processes.
• Identify opportunities for platform optimization and expansion, driving early success and long-term client retention.

7. Thought Leadership & Innovation:

• Stay up to date with the latest advancements in marketing analytics, marketing mix modeling, Bayesian regression, and probabilistic forecasting techniques.
• Contribute to Keen’s thought leadership by sharing insights and best practices with clients and internal teams.

Qualifications

Key Qualifications:

• 5+ years of experience in a solution engineering, technical consulting, or similar role within a SaaS environment, with a focus on data-driven marketing analytics.
• Strong understanding of marketing mix models, Bayesian regression models, and probabilistic revenue forecasting.
• Experience with marketing/media planning and financial forecasting tools, and familiarity with marketing data sources and their impact on business outcomes.
• Proficiency in data management, data cleansing, and data integration processes.
• Excellent problem-solving skills and an analytical mindset, with a passion for working with data to generate insights.
• Strong communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
• Experience working cross-functionally with product, marketing, and sales teams.
• Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities.
• Bachelor’s degree in Data Science, Marketing, Statistics, or a related field; advanced degree preferred.

Preferred Qualifications:

• Experience in the marketing technology or MarTech industry, particularly with marketing mix modeling and probabilistic forecasting solutions.
• Familiarity with AI-powered platforms and their applications in real-time scenario planning and optimization.
• Knowledge of marketing automation platforms (e.g., HubSpot) and CRM systems.

Additional Information

All your information will be kept confidential according to EEO guidelines.