Solutions Engineer, Enterprise West (Pre-Sales)

hightouch

United States

Remote

USD 133,000 - 250,000

Full time

11 days ago
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Benefits offered by this job

Equity compensation

Job summary

Hightouch is seeking a technical lead in enterprise pre-sales to translate complex customer needs into credible solution designs and successful technical evaluations, partnering with account executives across data, marketing, and AI use cases.

The role is remote-first with travel. You will lead discovery, architecture, demonstrations, PoCs, and executive engagement for multi-stakeholder enterprise buyers, shaping winning solutions and driving value.

Qualifications

  • At least five years in enterprise pre-sales or solutions engineering.
  • Ability to lead discovery, whiteboarding, architecture and solution design for technical and business audiences.
  • Experience with complex, multi-stakeholder enterprise sales cycles and value-based selling.
  • Knowledge of customer data platforms, marketing automation, data warehouses, or related architectures.

Responsibilities

  • Lead technical discovery into customer data architecture, marketing processes, goals, and decision criteria.
  • Design and deliver tailored product demonstrations and solution architectures across data, activation, and marketing capabilities.
  • Scope, execute, and validate POCs with rigor for complex enterprise purchases.
  • Build trusted relationships with data engineers, architects, marketing technologists, and executives.
  • Navigate buying committees and contribute to account strategy in long sales cycles.
  • Advise on AI-enabled workflows, data activation, and decisioning while sharing market feedback.

Skills

Enterprise pre-sales
Solutions engineering
Technical discovery
Architecture design
Whiteboarding
Multi-stakeholder sales
Executive engagement
Data platforms

Job description

Role overview

Serve as the technical lead in enterprise pre-sales, partnering with account executives to turn complex customer needs into credible solution designs and successful technical evaluations. The work spans discovery, architecture, demonstrations, proof-of-concept delivery, and executive-level engagement across data, marketing, and AI use cases.

Responsibilities
  • Lead technical discovery into customer data architecture, marketing processes, business goals, and decision criteria.
  • Design and deliver tailored product demonstrations and solution architectures across customer data, identity, activation, and agent-based marketing capabilities.
  • Scope, execute, and validate proof-of-concept engagements with the rigor needed for complex enterprise purchases.
  • Build trusted relationships with data engineers, architects, marketing technologists, business leaders, and executive stakeholders.
  • Navigate multi-person buying committees, competitive evaluations, and long enterprise sales cycles while contributing to account strategy.
  • Advise customers on AI-enabled workflows, data activation, and decisioning, while sharing market feedback with Product and Engineering.
Requirements
  • At least five years of progressive enterprise pre-sales or solutions engineering experience.
  • Demonstrated ability to lead technical discovery, whiteboarding, architecture, and solution design for both technical and business audiences.
  • Experience with complex, multi-stakeholder enterprise sales cycles and value-based selling.
  • Working knowledge of customer data platforms, marketing automation, data warehouses, or comparable technologies at the architecture, integration, or use-case level.
  • Experience collaborating with data engineering, data science, or analytics teams.
  • Strong communication, technical judgment, and ability to work effectively in a high-growth B2B software environment.
Benefits and work setup

The role is remote-first and includes customer and team travel. The stated on-target earnings range is $190,000–$250,000 annually, with a base salary range of $133,000–$175,000; offers vary with experience, interview results, and level. Equity compensation is also provided.

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