Sales Engineer
N
NinjaCatMarTech SaaS
US or CanadaFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3–5 years
- Required Skills
- SQLRESTful APIsData analytics
Requirements
- 3–5 years of experience as a Sales Engineer, Solutions Engineer, or similar role supporting SaaS or technology sales.
- Strong understanding of data analytics, APIs, and integrations, with an ability to explain technical concepts clearly.
- Experience demoing AI-powered tools or automation workflows a strong plus.
- Familiarity with digital marketing, AdTech, or MarTech ecosystems, including data pipelines and reporting workflows.
- Proven project management skills - you can manage multiple sales cycles, priorities, and stakeholders with confidence.
- Proficiency in relevant tools such as SQL, APIs, marketing platforms (e.g., Google Ads, Meta, GA4), and BI tools.
- Exceptional communication and presentation skills for both technical and non-technical audiences.
- A proactive mindset with curiosity for AI, automation, and next-generation marketing data technologies.
- A balance of technical depth and business acumen - you can think strategically and explain simply.
- A passion for helping customers see the “aha!” moment during product demos.
- Strong organizational skills, attention to detail, and comfort managing fast-paced sales processes.
- A collaborative spirit - you thrive working cross-functionally and building relationships.
Responsibilities
- Partner with Sales to uncover customer goals and design solutions that align with their data, analytics, and reporting needs.
- Deliver dynamic product demos highlighting NinjaCat’s core platform, AI agents, and automation workflows.
- Translate customer requirements into actionable solution designs, technical proposals, and proof-of-concept plans.
- Demonstrate and explain how NinjaCat’s AI agents complement our data transformation suite—including data ingestion, aggregation, and visualization tools.
- Manage multiple sales projects simultaneously with precision, ensuring timely follow-ups, clear documentation, and coordination across teams.
- Collaborate with Product and Technical Services to address complex technical questions, integrations, and API workflows.
- Act as a trusted advisor, building long-term relationships with key decision-makers and technical stakeholders.
- Stay current on industry trends, competitor offerings, and emerging AI innovations to sharpen your demo strategy and technical credibility.
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