Solutions Engineer, Enterprise (Pre-Sales)

Position Summary

We are seeking an experienced Solutions Engineer, Enterprise (Pre-Sales), to join our innovative team. This critical role involves partnering closely with sales and technical teams to present tailored solutions that address complex client data and marketing challenges. Leveraging your deep understanding of data ecosystems, architecture, and enterprise sales cycles, you will be instrumental in driving technical validation, solution design, and customer success. This remote, full-time position offers a competitive salary and the opportunity to work with cutting-edge AI and data technologies in a fast-growing SaaS environment dedicated to transforming marketing with data activation and AI-driven insights.

Key Responsibilities

• Lead technical discovery sessions to understand clients' data architectures, workflows, and objectives, translating these into compelling solution designs.
• Design and deliver customized product demonstrations and architectural solutions integrating our Customer Data Platform (CDP), Identity Resolution, Match Booster, and AI-driven marketing tools.
• Manage proof-of-concept engagements from scoping through validation, ensuring rigorous technical validation to facilitate deal closures.
• Build and nurture deep technical relationships with data engineers, architects, and marketing technologists, serving as a trusted advisor throughout the sales cycle.
• Navigate complex multi-stakeholder buying processes, engaging with technical teams, marketing leaders, and executive stakeholders confidently and persuasively.
• Act as a technical advisor for customers adopting AI workflows, data activation, and decisioning solutions, providing strategic guidance and feedback to internal product and engineering teams to influence product development.
• Utilize modern AI and data tools to enhance the efficiency and impact of your solutions engineering workflow.
• Strive to develop technical expertise rapidly, aiming to independently close deals and solve complex multi-product problems within six months, and contribute to team success beyond individual quotas within a year.

Required Qualifications

• 5+ years of enterprise pre-sales or solutions engineering experience, ideally involving complex solution architecture within multi-stakeholder sales environments.
• Proven ability to lead technical discovery, whiteboarding, and solution design for technical and business audiences, including C-suite executives.
• Deep familiarity with modern data ecosystems: cloud data warehouses, data modeling, data engineering, integrations, and APIs—able to navigate data architecture confidently without hands-on practitioner skills.
• Demonstrated success in building technical champions and influencing decision-makers across engineering, marketing, and executive tiers.
• Experience with competitive enterprise sales processes; familiarity with value frameworks such as MEDDPICC or Command the Message is a plus.
• Strong intellectual curiosity, ambition, humility, and a continuous improvement mindset.
• A team-first approach, operating collaboratively within shared frameworks and actively elevating colleagues.

Preferred Skills & Experience

• Hands-on experience with Customer Data Platforms (CDPs), marketing automation, data warehouses, or related technologies at the integration or architectural level.
• Experience collaborating with data engineering, analytics, or science teams, either as a customer or in a previous role.
• Previous work at a high-growth B2B SaaS company navigating significant scaling and inflection points.
• Willingness and ability to travel as needed for client and team engagements.