Solutions Engineer

About the role

The Solutions Engineer serves as a technical resource across the Elevar go-to-market effort. They support pre-sales technical scoping and demos, build proofs of concept, troubleshoot integration and data quality issues, and act as a technical point of contact for agency and platform partners.

Responsibilities

• Support pre-sales technical scoping, discovery, and demos for prospects and joint customers, tailored to each brand's existing tracking stack.
• Run technical audits of a prospect's current implementation to identify gaps in tracking, attribution, and data quality.
• Build proof-of-concept implementations, including side-by-side test pixels that run alongside a prospect's existing setup without disrupting live integrations.
• Hand off closed deals to the implementation team with complete technical context — documented requirements, tracking gaps identified during discovery, and scoped expectations — so onboarding starts cleanly and time-to-value is protected.
• Research and document how tracking and event data work on platforms beyond Shopify — such as Salesforce Commerce Cloud and BigCommerce — to support the expansion of the Elevar API and make each new platform integration smoother.
• Serve as a technical contact for agency and platform partners, supporting enablement sessions, integration questions, and joint customer work.
• Create and maintain technical documentation, audit templates, integration guides, and best practices for the Sales and Partnerships teams.
• Share customer and partner feedback with the Lead Solutions Engineer to inform product priorities.

Requirements

• 3+ years in a Solutions Engineer, Sales Engineer, Technical Account Manager, analytics implementation, or agency-side martech role.
• Hands-on experience with web analytics and conversion tracking implementation: Google Tag Manager, dataLayer work, GA4, and at least one ad platform conversions API (Meta CAPI, Google Ads, TikTok).
• Working understanding of server-side versus client-side tracking, and why the distinction matters for attribution and data quality.
• Strong hands-on experience with APIs, webhooks, and data integrations (REST APIs, JSON, authentication flows).
• Comfortable in browser devtools and able to read JavaScript well enough to debug an existing implementation.
• Familiarity with consent management and how privacy regulation affects tracking (CMPs, consent mode).
• Excellent communication skills — able to translate technical concepts for both engineers and marketing stakeholders.
• Experience supporting or collaborating with Sales teams in a pre-sales technical capacity.
• Self-starter who is comfortable working independently in a fast-moving, remote environment.
• Bachelor's degree in a technical field (Computer Science, Engineering, or related) or equivalent practical experience.

Qualifications

• Experience implementing tracking on one or more major ecommerce platforms — Shopify Plus, Salesforce Commerce Cloud, BigCommerce, Adobe Commerce, or WooCommerce.
• Prior experience at a martech, adtech, or ecommerce analytics company, a DTC brand, or a performance marketing agency.
• Experience with retention platforms such as Klaviyo or Attentive.
• Experience with SQL or Python for investigating data quality questions.
• Experience supporting agency, reseller, or technology partners.

Benefits

Audiense offers a competitive compensation and benefits package, high-visibility, customer-facing role on a small team where your work is directly tied to revenue, clear technical mentorship and a defined path to grow into senior scope, collaborative, remote-friendly culture with opportunities to shape both product and process, and an equal opportunity employer.

Pay

The Pay Range For This Role Is 90,000 - 110,000 USD per year(Remote (United States))