Senior Technical Sales Engineer
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Job Description
Senior Technical Sales Engineer leading technical engagements for GCP sales strategies in various sectors. Focused on delivering winning proposals and client solutions across retail, hospitality, entertainment, and e-commerce.
Responsibilities:
- 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
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