What are the responsibilities and job description for the Sales Engineer – Data & AI Solutions position at Fipsar Inc?
Join Us in Powering the Future of Life Sciences with Data & AI
At Fipsar , we are redefining data management and analytics for the life sciences industry . We don’t just build data platforms - we transform how organizations harness data to accelerate drug development, optimize commercial strategies, and drive AI-powered insights.
As a Sales Engineer , you’ll be at the forefront of this transformation, helping clients bridge the gap between their challenges and cutting-edge solutions. If you have a passion for data, AI, and customer success , and want to work at the intersection of technology and business impact , this role is for you.
Location : Hillsborough, NJ
Employment Type : Full-Time
What You’ll Do
- Be the Trusted Advisor : Work closely with clients to understand their pain points and architect tailored solutions that drive real impact.
- Showcase Our Capabilities : Deliver engaging demos, technical presentations, and proof-of-concept solutions that bring our offerings to life.
- Partner with Sales & Engineering : Collaborate with cross-functional teams to align client needs with our AI-driven data solutions .
- Drive Revenue & Growth : Influence sales strategies and help close deals by articulating the value of our data platforms, AI, and ML capabilities .
- Stay Ahead of the Curve : Keep up with the latest industry trends, competitive insights, and emerging technologies to position our solutions effectively.
Who You Are
What You Bring
Experience in a sales engineering, solutions engineering, or technical consulting role, ideally in data management, analytics, or AI .
Strong expertise in cloud platforms (AWS, GCP), data architecture, and AI / ML solutions .
Proven ability to engage with C-level executives, data scientists, and IT teams .
Exceptional communication skills – you can make the technical accessible and the complex compelling.
Industry experience in life sciences, pharma, or healthcare (a big plus!).
A Bachelor’s / Master’s in Computer Science, Data Science, Engineering, or a related field (or equivalent experience).
Why Join Us?
