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We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Senior Technical Sales Engineer
Location
United States
Posted
89 days ago
Salary
$135K - $155K / year
Seniority
Senior
Job Description
Senior Technical Sales Engineer
Jobgether
Role Description This role offers the opportunity to be a trusted technical advisor in high-stakes, client-facing engagements, bridging the gap between advanced cloud technology, data science, and business strategy. You will work closely with sales and solutions architecture teams to design and deliver compelling technical solutions that drive business growth. The position combines hands-on technical expertise with strategic client engagement, enabling you to shape outcomes for enterprise clients across multiple industries. You will craft demos, proof-of-concepts, and executive presentations while staying on the cutting edge of AI, data, and cloud technologies. This role thrives in a fast-paced, collaborative environment and provides a chance to influence both pre-sales success and long-term client satisfaction. - Lead technical discovery sessions and consultative engagements with enterprise clients across retail, hospitality, entertainment, and e-commerce sectors. - Develop and deliver custom demos, proof-of-concepts, and technical narratives for Google Cloud Platform (GCP) and AI-focused sales initiatives. - Partner with sales and solutions teams to craft winning proposals, RFP responses, and executive presentations. - Serve as a trusted technical advisor, translating complex cloud and AI capabilities into business value for both technical and non-technical audiences. - Apply hands-on experience with GCP services, including BigQuery, Vertex AI, Looker, and Cloud Storage, to support client-specific use cases. - Develop reusable solution frameworks and demo assets to support organization-wide sales efforts. - Collaborate with technical delivery teams to ensure pre-sales commitments align with implementation feasibility. Qualifications - 5+ years of experience in technical sales engineering, solutions architecture, or data science within consulting, agency, or technology partner environments. - Strong hands-on experience with Google Cloud Platform, including BigQuery, Vertex AI, and Cloud Storage. - Background in data science with working knowledge of machine learning, marketing analytics, and AI-driven applications. - Demonstrated ability to build and present technical demos and executive-level presentations for enterprise clients. - Excellent written and verbal communication skills, capable of translating technical concepts for non-technical stakeholders. - Comfortable in fast-paced, client-focused environments with strong organizational and project management abilities. - Familiarity with Google Marketing Platform tools (GA4, DV360, Campaign Manager) and marketing analytics frameworks. - Preferred certifications: Google Cloud Professional Data Engineer or Professional ML Engineer. - Prior experience collaborating with or within a Google Partner organization. Requirements - 5+ years of experience in technical sales engineering, solutions architecture, or data science within consulting, agency, or technology partner environments. - Strong hands-on experience with Google Cloud Platform, including BigQuery, Vertex AI, and Cloud Storage. - Background in data science with working knowledge of machine learning, marketing analytics, and AI-driven applications. - Demonstrated ability to build and present technical demos and executive-level presentations for enterprise clients. - Excellent written and verbal communication skills, capable of translating technical concepts for non-technical stakeholders. - Comfortable in fast-paced, client-focused environments with strong organizational and project management abilities. - Familiarity with Google Marketing Platform tools (GA4, DV360, Campaign Manager) and marketing analytics frameworks. - Preferred certifications: Google Cloud Professional Data Engineer or Professional ML Engineer. - Prior experience collaborating with or within a Google Partner organization. Benefits - Base salary range: $135,000 – $155,000 with semi-annual individual bonus potential. - Medical, dental, and vision insurance. - Paid time off, including vacation, sick leave, and company holidays. - Paid volunteer time and flexible working hours, including summer Fridays. - 401(k) plan with 5% company match and no vesting period. - Employer-paid parental leave. - Health and dependent care spending accounts. - Employer-paid basic life insurance and optional voluntary life coverage. - Employer-paid short- and long-term disability insurance. - Employee Assistance Program (EAP). - Continuing education reimbursement and professional development support. - Monthly remote work stipend and new hire office equipment reimbursement.
Job Requirements
- 5+ years of experience in technical sales engineering, solutions architecture, or data science within consulting, agency, or technology partner environments.
- Strong hands-on experience with Google Cloud Platform, including BigQuery, Vertex AI, and Cloud Storage.
- Background in data science with working knowledge of machine learning, marketing analytics, and AI-driven applications.
- Demonstrated ability to build and present technical demos and executive-level presentations for enterprise clients.
- Excellent written and verbal communication skills, capable of translating technical concepts for non-technical stakeholders.
- Comfortable in fast-paced, client-focused environments with strong organizational and project management abilities.
- Familiarity with Google Marketing Platform tools (GA4, DV360, Campaign Manager) and marketing analytics frameworks.
- Preferred certifications: Google Cloud Professional Data Engineer or Professional ML Engineer.
- Prior experience collaborating with or within a Google Partner organization.
Benefits
- Base salary range: $135,000 – $155,000 with semi-annual individual bonus potential.
- Medical, dental, and vision insurance.
- Paid time off, including vacation, sick leave, and company holidays.
- Paid volunteer time and flexible working hours, including summer Fridays.
- 401(k) plan with 5% company match and no vesting period.
- Employer-paid parental leave.
- Health and dependent care spending accounts.
- Employer-paid basic life insurance and optional voluntary life coverage.
- Employer-paid short- and long-term disability insurance.
- Employee Assistance Program (EAP).
- Continuing education reimbursement and professional development support.
- Monthly remote work stipend and new hire office equipment reimbursement.
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About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. 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We support an inclusive culture where everyone is encouraged be their authentic selves, and where our differences and unique perspectives are a key strength. Explore life at Fortune Brands here. Job Description As the SaaS Sales Engineer, you will support the go-to-market strategy for Master Lock's connected LOTO (Lockout Tagout) solution - an innovative SaaS-based safety platform transforming workplace compliance across high-risk industries. You'll lead technical sales demonstrations, shape customer onboarding experiences, and act as the subject matter expert helping drive digital adoption in safety programs. This is an entrepreneurial, cross-functional role embedded with a nimble and growing team driving a shift from mechanical to connected solutions. The ideal candidate will bring a consultative, customer-first approach and thrive in environments where innovation and ambiguity intersect. 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