Solutions Engineer, Mid-Market East (Pre-Sales)

Hightouch; San Francisco (CA); On-site; USD 112,000 - 154,000; Full time

Job summary

Hightouch is seeking a Mid-Market Solutions Engineer in San Francisco, CA, to own technical sales and drive architectural solutions. You'll engage with data engineers and C-suite leaders, leveraging modern AI tooling to enhance customer impact.

Successful candidates will have 2+ years of pre-sales experience and demonstrate the ability to navigate complex buying committees. Compensation includes a base salary of $112k–$154k, with potential OTE up to $220k.

Qualifications

• 2+ years of pre-sales or solutions engineering experience.
• Demonstrated ability to lead technical discovery and solution design.
• Familiarity with modern data ecosystems and navigating data architecture.

Responsibilities

• Lead technical discovery and translate requirements into solutions.
• Run proof-of-concept engagements for enterprise deals.
• Build relationships with technical champions and stakeholders.

Skills

Technical discovery

Architectural solutioning

Cloud data warehouses

Data modeling

Data engineering

APIs

Competitive sales motions

Influencing buying committees

Job description

About The Role

This role is for someone who wants to own the technical win. As a Mid-Market Solutions Engineer at Hightouch, you will partner with your Account Executives to drive the full technical sales motion from deep discovery and architectural solutioning to tailored product demonstrations and rigorous technical validation. You will own relationships with technical champions, co‑develop account strategy, and guide customers to our solutions by navigating complex, multi‑stakeholder buying committees and running competitive enterprise sales cycles. We leverage a disciplined value‑selling motion, and are looking for deep experience in sales cycles where you have had to earn the technical win, not assume it.

What You’ll Do

• Lead technical discovery to deeply understand a customer’s data architecture, marketing workflows, and business objectives; and translate that into differentiated requirements and a compelling solution design.
• Design and deliver tailored product demonstrations and architectural solutions spanning Hightouch’s suite of products.
• Run proof‑of‑concept engagements end‑to‑end: scoping, designing, executing, and validating with the discipline and rigor required to close complex enterprise deals.
• Build deep technical relationships with data engineers, architects, and marketing technologists becoming their trusted advisor.
• Navigate complex buying committees, engaging confidently with technical teams, marketing leaders, and C‑suite executives.
• Serve as a technical advisor to enterprise customers adopting cutting‑edge AI workflows, data activation, and decisioning capabilities using agents. Partner directly with Product and Engineering to shape the go‑to‑market strategy for Hightouch’s emerging AI and agentic products.
• Leverage modern AI tooling to improve speed, creativity, and customer impact across the Solutions Engineering workflow.

What Success Looks Like

Quickly build technical expertise, moving from foundational product, use case, and demo fluency in the first three months to independently closing deals and solving complex, multi‑product problems within six months. You will begin contributing beyond your own deals and raising the collective bar for the team within a year.

Required Qualifications

• 2+ years of progressive mid‑market pre‑sales or solutions engineering experience, including complex solution architecture across multi‑stakeholder buying cycles.
• Demonstrated ability to lead technical discovery, architectural whiteboarding, and solution design with both technical and business audiences, including C‑suite stakeholders.
• Deep familiarity with modern data ecosystems: cloud data warehouses, data modeling, data engineering, integrations, and APIs - and the ability to navigate a customer’s data architecture confidently without needing to be a hands‑on practitioner.
• Proven ability to build technical champions and influence complex buying committees across engineering, marketing, and executive levels.
• Experience in competitive sales motions. Familiarity with MEDDPICC, Command the Message, or equivalent value‑selling frameworks is a strong plus.
• Intellectual curiosity, high ambition, and humility. You want to keep getting better, and you are honest about what you do not yet know.
• A team‑first orientation where you elevate the people around you, operate within shared frameworks and processes, and measure yourself by more than your own quota.

Bonus

• Hands‑on experience with Customer Data Platforms (CDPs), Marketing Automation, Data Warehouses, or similar technologies at the integration, architecture, or use case level.
• Background collaborating with data engineering, science, or analytics teams, either as a customer or in a prior role.
• Experience in a high‑growth B2B SaaS company scaling through a significant inflection point.
• Travel required for customer and team engagements.

Compensation

On‑Target Earnings: $160,000–$220,000 annually
Base Salary: $112,000–$154,000 annually
The On‑Target Earnings (OTE) offered for this position will depend on several factors, including the selected candidate’s experience, interview performance, and final level. OTE is one component of Hightouch’s competitive total rewards package. We also offer meaningful equity compensation in the form of ISO options, including early exercise and a generous 10‑year post‑termination exercise window.

E‑Verify Statement

Hightouch participates in E‑Verify. After you join the team, we’ll verify your eligibility to work in the U.S. by submitting information from your Form I‑9 to the Social Security Administration and, if needed, the Department of Homeland Security. This process happens post‑hire only — we never use E‑Verify to pre‑screen applicants.

Right to Work Notice

Right to Work Notice

E‑Verify Notice (Spanish)

E‑Verify Notice (Spanish)

Right to Work Notice (Spanish)

Right to Work Notice (Spanish)