Solutions Engineer

(united States)Remotemid

SalesSales Engineer

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Quick Summary

Overview

Audiense is a consumer intelligence and audience analytics platform that helps brands and agencies understand, segment, and activate their target audiences using social, behavioral,

Technical Tools

SalesSales Engineer

Responsibilities

~1 min read

→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.

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.

Nice to Have

~1 min read

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.
Comfort with SQL or Python for investigating data quality questions.
Experience supporting agency, reseller, or technology partners.