Solutions Engineer
Company shown to members 🔒 · Remote · US only
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First recorded by Psst: 10 November 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- 3+ years required
- Where you can live
- US only
- Skills and tools
- b2b, saas
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Job details
- Where you can work
- United States
- Employment type
- Not stated by the employer
- Advertised pay
- $180K–200K/yr
- Experience
- 3+ years required
- Employer publication date
- 9 November 2026
- First recorded by Psst
- 10 November 2026
- Last checked at the source
- 11 November 2026
About the job
Solutions Engineer, Pre-Sales
Customer Solutions Group | North America
The company is on a mission to help marketing teams activate their data with speed and precision. As a Solutions Engineer, you'll play a critical role in driving the company’s expansion by partnering closely with the sales team to bring our Compound Marketing Engine to life for prospective clients. You’ll bridge the gap between product and customer, helping marketers and technical stakeholders - including data engineers, analytics teams, and IT - realize the power of activating data from the data cloud to drive real business outcomes. Your ability to navigate both business and technical conversations will be key to unlocking value for complex, data-savvy organizations.
You’re comfortable speaking with confidence in a sales environment, leading demos, and answering product and technology-related questions. You have a strong understanding of Customer Data, Marketing Technology, Data Warehouses like BigQuery and Snowflake, Marketing KPIs, and Marketing Channels.
What You’ll Do
- 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 how they store customer data, build audiences, run campaigns, and measure results.
- Create tailored demos, prototypes, and proofs of value with clear success criteria that show how the company fits into each prospect’s data and marketing stack.
- Serve as the primary technical contact during evaluations, explaining architecture, integrations, and tradeoffs to both 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 to keep evaluations moving.
- Answer competitive questions using your knowledge of CDPs, data warehouses, identity resolution, AI in marketing, and cross-channel activation.
- Bring recurring customer pain points and product feedback to the teams that can act on them.
- Travel for customer meetings when being there will meaningfully help an opportunity.
What We Look For
- 3+ years in sales engineering or technical presales, supporting complex B2B SaaS sales cycles from discovery through technical evaluation.
- Experience supporting evaluations for enterprise data or marketing platforms, including how audiences are built from warehouse data and activated through downstream integrations.
- Working knowledge of Snowflake or BigQuery, how customer data flows through a modern data stack, and where LLMs can add value in marketing workflows.
- An understanding of how marketing teams choose audiences, messages, offers, and channels, and how they measure whether a campaign worked.
- Familiarity with experimentation and incremental lift, including why a high response rate does not necessarily mean a campaign changed customer behavior.
- Experience explaining technical concepts to both data teams and marketing leaders, adapting your approach to what each audience needs to decide.
- Strong judgment in complex sales cycles. You can prioritize technical questions, communicate what still needs validation, and work across teams to keep an evaluation moving.
- Direct experience in marketing, marketing operations, or marketing strategy is a plus
About the company
The company built the first composable CDP, helping marketers leverage live, first-party data from their cloud warehouse to launch highly targeted campaigns. That composable foundation gave way to the Compound Marketing Engine, an evolution of the composable CDP that drives compound growth by using agentic AI to accelerate the marketing cycle.
Now, we’re building what comes next: an agentic system that uses causality data to find the actions that actually improve customer outcomes and gets smarter with every campaign cycle.
Founder-led, we’re partnering with the world’s most innovative brands to close the loop between people, data, and AI. Enterprise marketing teams at Google, Costco, Ford, and Whirlpool (to name a few) choose the company to launch smarter, more personalized marketing programs that compound growth with every campaign.
What We Offer
The on-target earnings range for this role is USD $180,000–$200,000 or CAD $260,000–$280,000.Total compensation includes equity. Final base salary decisions will be based on a variety of non-discriminatory factors unique to each candidate, such as the individual’s skill set, location, depth of experience, and qualifications.
Rewards
- See your work impact some of the most important businesses in the world, including Google, Priceline, and Indeed.
- Spot bonuses for major milestones and product feature graduations
- Opportunities for career progression and dynamic collaboration across teams
- Equity incentives for employees making an impact
Flexible Work Style
- Remote-First Culture
- Flexible schedules and goal-based work style
- Unbounded PTO
- Monthly Recharge Days
Competitive Benefits
- Free Platinum Health Insurance with Aetna
- 401(k) Program with Generous Company Match
Learn and Grow
- Quarterly Hackathons to focus on team passion projects
- Education Stipend towards your professional development
- Work closely with our world-class executive team
- Learners’ mindset culture
The company is an Equal Opportunity Employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
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