Sales Engineer

 Posted an hour ago
     
 $115K - $135K per year
  
5-10 years experience
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AI Summary

The Sales Engineer acts as the technical bridge between sales, customers, and product teams to design and validate technical solutions. Responsibilities include leading discovery calls, delivering tailored product demos, and managing the technical onboarding process.
Benefits:
  • 401(k)
  • Health insurance
  • Paid time off
  • 401(k) matching
  • Bonus based on performance
  • Dental insurance
  • Flexible schedule
  • Home office stipend
  • Stock options plan
  • Vision insurance
Overview
VisitIQ is looking for a commercially-minded Sales Engineer to act as the technical bridge between our sales team, customers, and product organization. This role is ideal for someone with experience in adtech, martech, data, identity, audience activation, media, analytics, or SaaS platforms. The SE will support pre-sales discovery, product demonstrations, technical validation, solution design, implementation planning, and customer onboarding. The right candidate will be able to translate customer business challenges into clear technical solutions, helping prospects and customers understand how VisitIQ can identify, enrich, segment, activate, and measure high-value audiences.

Responsibilities
  • Lead technical discovery calls with prospects and customers to understand their data, media, CRM, website, and activation requirements.
  • Deliver compelling product demonstrations tailored to specific customer use cases, including identity resolution, visitor identification, intent audiences, enrichment, segmentation, activation, and reporting.
  • Partner closely with Account Executives to map customer pain points to VisitIQ platform capabilities and commercial value.
  • Support proof-of-concept engagements, pilot programs, and technical validation processes.
  • Help design customer workflows across website pixel implementation, data onboarding, CRM enrichment, audience creation, activation, and measurement.
  • Work with customers and internal teams on integrations, including pixels, APIs, CRM platforms, DSPs, Meta, Google, DV360, data partners, and other activation channels.
  • Provide technical support during onboarding and implementation, ensuring a smooth handoff from sales to customer success.
  • Act as the internal voice of the customer by feeding product gaps, market requirements, and integration needs back to Product and Engineering.
  • Support RFPs, security reviews, technical questionnaires, and solution documentation.
  • Help create enablement materials, technical diagrams, demo flows, and best-practice implementation guides.
Qualifications
  • 5–10 years of experience in sales engineering, solutions consulting, solutions architecture, implementation consulting, or a similar technical pre-sales role.
  • Experience in adtech, martech, media, identity resolution, data platforms, CDPs, DSPs, CRM, audience activation, analytics, or SaaS is strongly preferred.
  • Strong understanding of data flows, APIs, pixels, tags, event tracking, CRM data, audience segmentation, and platform integrations.
  • Familiarity with platforms such as Google, Meta, DV360, The Trade Desk, StackAdapt, LiveRamp, Salesforce, HubSpot, CDPs, or similar technologies is a plus.
  • Ability to explain technical concepts clearly to both technical and non-technical stakeholders.
  • Strong commercial awareness with the ability to connect technical capability to business outcomes and revenue impact.
  • Experience supporting demos, POCs, pilots, onboarding, and customer implementations.
  • Comfortable working cross-functionally with Sales, Customer Success, Product, Engineering, and Leadership.
  • Excellent communication, presentation, documentation, and problem-solving skills.
  • Self-starter who can operate in a fast-moving, high-growth environment.
  • Ability to travel up to 10%
Ideal Background
The ideal candidate has worked in or around digital media, audience data, identity, activation, attribution, CRM enrichment, or marketing technology. They understand how brands, agencies, publishers, resellers, and media companies use data to identify audiences, improve targeting, activate campaigns, and measure performance.

 

This is a remote position.

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