Adswerve, Inc.

Senior Technical Sales Engineer

Adswerve, Inc.

full-time

Posted on:

Location Type: Remote

Location: ArizonaCaliforniaUnited States

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Salary

💰 $135,000 - $155,000 per year

Job Level

About the role

  • Lead technical discovery sessions with prospective and existing clients across retail, hospitality, entertainment, and e-commerce verticals
  • Own the development of custom demos, proof-of-concepts, and technical narratives for major GCP-focused sales pitches
  • Partner with Solutions Architecture and sales leadership to craft winning RFP responses, SOW scoping, and executive-level presentations
  • Represent Adswerve as a trusted technical advisor during client-facing engagements, building credibility with both technical and business audiences
  • Operate hands-on in GCP environments, including BigQuery, Vertex AI, Looker, and related data and AI tooling
  • Develop reusable demo assets and solution frameworks that can be deployed across the sales organization
  • Apply data science fundamentals to design technically sound, client-specific use cases spanning ML, marketing analytics, and AI activation
  • Stay current on Google Cloud roadmap developments, GMP integrations, and emerging AI capabilities relevant to our go-to-market strategy
  • Serve as a bridge between the Solutions Architecture and Technical Services teams, ensuring pre-sales commitments are grounded in delivery feasibility
  • Contribute technical depth to ATF (Additive Tech Fund) proposals, DSPP applications, and Google partnership initiatives
  • Support team knowledge sharing through documentation, internal demos, and peer enablement
  • Collaborate with the Director of Solutions Architecture on GCP go-to-market strategy and practice development

Requirements

  • 5+ years of experience in a technical sales engineering, solutions architecture, or data science role, ideally within a consulting, agency, or technology partner environment
  • Demonstrated expertise with Google Cloud Platform, with hands-on experience across BigQuery, Vertex AI, Cloud Storage, and related services
  • Data science background with working knowledge of ML modeling, statistical analysis, and AI-driven use cases (e.g., MMM, propensity modeling, LTV prediction)
  • Proven ability to build and deliver technical demos and executive-level presentations for enterprise clients
  • Exceptional written and verbal communication skills - able to translate technical concepts for non-technical audiences and speak credibly to technical stakeholders
  • Comfortable in a fast-paced, client-driven environment with strong organizational and project management instincts
  • Experience with Google Marketing Platform (GMP) tools including GA4, DV360, Campaign Manager, or related advertising technology
  • Familiarity with Marketing Mix Modeling (Meridian or similar) and marketing analytics frameworks
  • Google Cloud Professional certifications (e.g., Professional Data Engineer, Professional ML Engineer)
  • Prior experience in a pre-sales or technical sales capacity, working alongside a sales team to close complex, multi-stakeholder deals
  • Background working with or within a Google Partner organization
Benefits
  • Semi-annual bonus potential
  • Medical, dental and vision available for employees
  • Paid time off including vacation, sick leave & company holidays
  • Paid volunteer time
  • Flexible working hours
  • Summer Fridays
  • “Work From Home Light” days between Christmas and New Year’s Day
  • 401(k) Plan with 5% company match and no vesting period
  • Employer Paid Parental Leave
  • Health-care Spending Accounts
  • Dependent-care Spending Accounts
  • Employer Paid Basic Life Insurance
  • Voluntary Life Insurance (Employee/Spouse/Child)
  • Employer Paid Short & Long Term Disability
  • Employee Assistance Program (EAP)
  • Continuing Education Reimbursement
  • Employee Referral Bonus Program
  • Monthly Remote Work Stipend
  • New Hire Office Equipment Reimbursement
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Google Cloud PlatformBigQueryVertex AICloud Storagemachine learningstatistical analysisAI-driven use casestechnical demosexecutive-level presentationsMarketing Mix Modeling
Soft Skills
written communicationverbal communicationorganizational skillsproject managementclient engagementtechnical translationcollaborationcredibility buildingknowledge sharingpeer enablement
Certifications
Google Cloud Professional Data EngineerGoogle Cloud Professional ML Engineer