Solutions Engineer, Data

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead technical discovery sessions with potential clients to address business challenges, data environments, and metrics for success.

• Define and design solutions tailored to client specifications.

• Collaborate with internal teams to develop solutions essential for securing deals.

• Manage technical responses to Requests for Proposals (RFPs) and Requests for Information (RFIs).

• Provide guidance to senior marketing, insights, and commercial stakeholders.

• Convert technical requirements and compromises into actionable business decisions.

• Create and present technical demonstrations and presentations for brands, agencies, and media organizations.

• Cover the platform, data, architecture, methodology, and case studies during client presentations.

• Execute pilots, proofs of concept, and technical data evaluations.

• Lead data assessment and implementation projects.

• Represent Resonate’s viewpoint on privacy, identity, and attribution in discussions with clients, at industry events, in trade publications, and within internal knowledge resources.

• Communicate client needs and platform enhancement requests to Research and Product teams.

⛳️ Requirements

• Approximately 5+ years of experience in technical pre-sales, sales engineering, or solutions architecture, preferably with a focus on data, identity, or modeling.

• A consultative approach to discovery, problem-solving, and solution formulation.

• Familiarity with the adtech, martech, and data ecosystems.

• In-depth understanding of privacy regulations related to the management of first-party data.

• Extensive knowledge of data append deliveries, including file matching and discussions around match rates.

• Strong proficiency with data lakes, APIs, MCP (Model Context Protocol), PII management, identity resolution, and activation endpoints.

• Capability to rapidly grasp a complex, proprietary data asset.

• Proven track record of establishing credibility with senior marketing, insights, and commercial stakeholders.

• Ability to articulate and write clearly about technical topics.

• Comfort working independently in a growth-oriented environment.

• Practical experience with Snowflake, AWS, and Box, along with activation platforms such as The Trade Desk, Adobe, Google, and Meta.

• Understanding of data science methodologies and modeling best practices.

• Experience with software related to marketing analytics, data enhancement, marketing automation, syndicated research, or media technology.

• Knowledge of the martech vendor landscape, particularly DSPs, DMPs, and data providers.

• A degree in computer science, engineering, statistics, business, or a similar field is highly regarded; equivalent practical experience is also valued.

🏝️ Benefits

• Medical, dental, and vision insurance, including Health Savings Account (HSA) options.

• Company-sponsored disability and life insurance, with an option to purchase additional life insurance.

• 401(k) plan with company matching contributions.

• Flexible Paid Time Off (PTO) along with 10 paid holidays.

• Paid parental leave.

• Access to wellbeing and employee assistance programs, offering free and unlimited consultations with over 20 health professionals and wellbeing coaches for you and your family members.

• Remote-first work environment with genuine flexibility.

• Opportunities for travel to client meetings and industry events.