Solutions Engineer, Pre-Sales
New
G
GrowthLoopMarketing technology
Remote, North AmericaFull-TimeMiddle
SalaryThe on-target earnings range for this role is USD $180,000–$200,000 or CAD $260,000–$280,000. Total compensation includes equity.
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Job Details
- Experience
- 3+ years in sales engineering or technical presales
- Required Skills
- SnowflakeBigQuery
Requirements
- Have 3+ years in sales engineering or technical presales.
- Have supported complex B2B SaaS sales cycles from discovery through technical evaluation.
- Have experience supporting evaluations for enterprise data or marketing platforms.
- Understand how audiences are built from warehouse data and activated through downstream integrations.
- Have working knowledge of Snowflake or BigQuery and how customer data flows through a modern data stack.
- Understand where LLMs can add value in marketing workflows.
- Understand how marketing teams choose audiences, messages, offers, and channels, and measure campaign results.
- Be familiar with experimentation and incremental lift, including interpreting campaign response rates.
- Be able to explain technical concepts to data teams and marketing leaders, adapting explanations to each audience.
- Use sound judgment to prioritize technical questions, communicate what needs validation, and coordinate across teams.
- Direct experience in marketing, marketing operations, or marketing strategy is a plus.
Responsibilities
- Partner with Account Executives from discovery through close to qualify technical fit, shape account strategy, and guide customer evaluations.
- Lead discovery with marketing and data teams to understand their customer data, audience-building, campaign, and measurement processes.
- Create tailored demos, prototypes, and proofs of value with clear success criteria.
- Serve as the primary technical contact during evaluations and explain architecture, integrations, and tradeoffs to data teams and marketing leaders.
- Work with Account Executives on pricing and scope when technical requirements affect the proposed solution.
- Document requirements and open questions, troubleshoot issues, and coordinate with Product and Engineering.
- Answer competitive questions about CDPs, data warehouses, identity resolution, AI in marketing, and cross-channel activation.
- Bring recurring customer pain points and product feedback to relevant teams.
- Travel for customer meetings when being there will meaningfully help an opportunity.
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