Solutions Engineer, Enterprise (Pre-Sales)

Premier Talent Partners

San Francisco (CA)

Remote

USD 120.000 - 175.000

Vollzeit

vor 11 Stunden
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Benefits dieser Stelle

Medical benefits
Paid time off
Remote-friendly

Zusammenfassung

Premier Talent Partners is seeking an experienced Solutions Engineer, Enterprise (Pre-Sales) to partner with Sales and Tech teams in San Francisco. The role focuses on technical validation, solution design, and customer success for data-driven marketing solutions in a fast-growing SaaS environment.

The ideal candidate has 5+ years in enterprise pre-sales or solutions engineering, deep data ecosystem knowledge, and strong skills in building technical champions across engineering, marketing, and

Qualifikationen

  • 5+ years in enterprise pre-sales or solutions engineering within complex multi-stakeholder sales.
  • Lead discovery, whiteboarding and solution design for technical and business audiences including C-suite.
  • Deep familiarity with cloud data warehouses, data modeling, data engineering, integrations and APIs.

Aufgaben

  • Lead technical discovery sessions translating client data architectures into compelling solution designs.
  • Design and deliver demonstrations and architectures integrating CDP, Identity Resolution, Match Booster, and AI marketing tools.
  • Manage proof-of-concept engagements from scoping to validation to aid deal closures.

Kenntnisse

Enterprise pre-sales
Solution architecture
Whiteboarding
Data ecosystems
C-suite engagement
MEDDPICC familiarity

Tools

CDP tooling

Jobbeschreibung

Location: San Francisco, CA (Remote)
Work Schedule: M-F, 9am - 5pm PT
Compensation: $120,000 - $175,000 annually (base salary) + OTE up to $250,000

Position Summary:

We are seeking an experienced Solutions Engineer, Enterprise (Pre-Sales), to join our innovative team. This critical role involves partnering closely with sales and technical teams to present tailored solutions that address complex client data and marketing challenges. Leveraging your deep understanding of data ecosystems, architecture, and enterprise sales cycles, you will be instrumental in driving technical validation, solution design, and customer success. This remote, full-time position offers a competitive salary and the opportunity to work with cutting-edge AI and data technologies in a fast-growing SaaS environment dedicated to transforming marketing with data activation and AI-driven insights.

Key Responsibilities:

  • Lead technical discovery sessions to understand clients’ data architectures, workflows, and objectives, translating these into compelling solution designs.
  • Design and deliver customized product demonstrations and architectural solutions integrating our Customer Data Platform (CDP), Identity Resolution, Match Booster, and AI-driven marketing tools.
  • Manage proof-of-concept engagements from scoping through validation, ensuring rigorous technical validation to facilitate deal closures.
  • Build and nurture deep technical relationships with data engineers, architects, and marketing technologists, serving as a trusted advisor throughout the sales cycle.
  • Navigate complex multi-stakeholder buying processes, engaging with technical teams, marketing leaders, and executive stakeholders confidently and persuasively.
  • Act as a technical advisor for customers adopting AI workflows, data activation, and decisioning solutions, providing strategic guidance and feedback to internal product and engineering teams to influence product development.
  • Utilize modern AI and data tools to enhance the efficiency and impact of your solutions engineering workflow.
  • Strive to develop technical expertise rapidly, aiming to independently close deals and solve complex multi-product problems within six months, and contribute to team success beyond individual quotas within a year.

Required Qualifications:

  • 5+ years of enterprise pre-sales or solutions engineering experience, ideally involving complex solution architecture within multi-stakeholder sales environments.
  • Proven ability to lead technical discovery, whiteboarding, and solution design for technical and business audiences, including C-suite executives.
  • Deep familiarity with modern data ecosystems: cloud data warehouses, data modeling, data engineering, integrations, and APIs—able to navigate data architecture confidently without hands-on practitioner skills.
  • Demonstrated success in building technical champions and influencing decision-makers across engineering, marketing, and executive tiers.
  • Experience with competitive enterprise sales processes; familiarity with value frameworks such as MEDDPICC or Command the Message is a plus.
  • Strong intellectual curiosity, ambition, humility, and a continuous improvement mindset.
  • A team-first approach, operating collaboratively within shared frameworks and actively elevating colleagues.

Preferred Skills & Experience:

  • Hands-on experience with Customer Data Platforms (CDPs), marketing automation, data warehouses, or related technologies at the integration or architectural level.
  • Experience collaborating with data engineering, analytics, or science teams, either as a customer or in a previous role.
  • Previous work at a high-growth B2B SaaS company navigating significant scaling and inflection points.
  • Willingness and ability to travel as needed for client and team engagements.

Benefits: Eligible employees may have access to benefits including medical, dental, vision, paid time off, paid holidays, and other company-sponsored programs, subject to eligibility requirements. (If this is a contract role: This position is not eligible for company-sponsored benefits unless otherwise required by law.)

If you have an interest in exploring other positions similar to this one, please note that compensation ranges and benefits offerings may vary by role and assignment.

We do consider applications from qualified candidates with prior arrests and conviction records, in accordance with applicable regulations.

Work authorization: At this time, we are unable to offer employment sponsorship.

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