Senior Sales Engineer (Remote)

Reposted 24 Days Ago
Hiring Remotely in United States
Remote
140K-150K Annually
Senior level
Artificial Intelligence • Information Technology • Software
The Role
The Senior Sales Engineer serves as a technical contact for sales discussions, collaborates with teams on customer requirements, leads workshops, and provides pre-sales support, ensuring alignment on solutions and driving customer satisfaction.
Summary Generated by Built In

Job Title: Senior Sales Engineer-Onshore (Remote)

Responsibilities:

  • Serve as the primary technical point of contact for all onshore sales discussions and customer engagements across data, analytics and AI use cases
  • Collaborate with the sales team to understand customer requirements and contribute to lead generation efforts.
  • Utilize technical expertise in Snowflake and other technologies to gather requirements and validate scope.
  • Lead onsite customer workshops, whiteboarding sessions, and executive presentations, ensuring clear alignment on business needs and solution approaches.
  • Collaborate closely with regional Sales and Partner teams (e.g., Snowflake, cloud providers) to support local go-to-market initiatives and joint customer engagements.
  • Participate in in-person client meetings, roadshows, and industry events within the region to strengthen customer relationships and accelerate deal cycles.
  • Act as a liaison between customers and the internal technical teams, ensuring effective communication and understanding of client needs.
  • Provide pre-sales technical support, including demonstrations, technical presentations, RFPs, estimation, etc and addressing customer inquiries.
  • Create proposal, estimation and other pre-sales artifacts.
  • Work independently with the Sales team to engage with potential customers and document scope and requirements.
  • Collaborate with account and delivery teams to ensure customer satisfaction and ongoing value realization.
  • Develop and maintain customer solution roadmaps that drive additional use cases and long-term growth.


Requirements:

  • Strong technical background with expertise in Snowflake and associated upstream and downstream technologies.
  • Excellent communication skills to effectively convey complex technical concepts to both technical and non-technical audiences.
  • Proven ability to work collaboratively with both customers and internal teams.
  • Past experience working in Sales/Solution engineering will be an additional bonus.
  • Have created, worked on Proposal responses, estimation calculation.
  • Prior experience engaging directly with onshore enterprise customers, including leading in-person workshops, discovery sessions, or technical discussions.
  • Strong ability to communicate and present to CxO-level and business stakeholders during face-to-face meetings.
  • Willingness to travel within the region (10–30%) for client meetings, workshops, and industry events as needed.

Qualifications:

  • Bachelor’s degree in a relevant field (Computer Science, Information Technology, etc.).
  • 7 + years of total work experience with at-least 2+ years of experience in a solution engineering or pre-sales roles.
  • Ability to adapt to new technologies and stay updated on industry trends.

Compensation Disclosure-
The base salary range for this position is $140 - 150K annually. This range reflects the base pay that we reasonably expect to offer for the role across our hiring locations.Final compensation will be determined based on a combination of factors, including but not limited to:

  • Geographic location (state and city of residence)
  • Overall professional experience
  • Directly relevant experience
  • Education and certifications
  • Industry knowledge and expertise
  • Skills and competencies

In addition to base pay, this role may be eligible for performance-based bonuses, or incentive pay, or commissions, which are not included in the listed base salary range.
WNS Kipi.ai (Capgemini Company) complies with all applicable federal, state, and local pay transparency laws, including those in California, Colorado, New York, Washington, and Illinois. Where required by law, we will provide additional details about compensation and benefits to qualified applicants.
Benefits Overview

Our benefits package includes (but is not limited to):
- Medical, dental, and vision insurance
- Paid time off (PTO)
- 401(k) with company match
Equal Opportunity Employer Statement

WNS Kipi.ai (Capgemini Company) is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, veteran status, or any other status protected under federal, state, or local law.
We also provide reasonable accommodations to individuals with disabilities and for sincerely held religious beliefs in all aspects of employment, including the application process.


Website-
 www.kipi.ai
Location-Denver, SF, Seattle (Remote Opportunity)
Time Zone-MST/PST time zones

Top Skills

AI
Cloud Technologies
Data Analytics
Snowflake
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The Company
HQ: Houston, TX
692 Employees

What We Do

Kipi.ai, a WNS company, is at the forefront of advanced analytics and AI services, specializing in AI, machine learning, and data science to drive innovation and business growth. As an Elite Snowflake Partner, kipi.ai is uniquely positioned to deliver scalable, AI-driven solutions that optimize data operations and empower organizations to fully harness the potential of their data. Kipi.ai has earned Snowflake’s AI Data Cloud Services Americas Innovation Partner of the Year and Americas System Integrator Growth Partner of the Year, and holds 8 industry competency badges. We're dedicated to pioneering world-class data solutions for Snowflake customers, offering 250+ Accelerators, Enablers, Solutions, and Native Apps to optimize performance within the Snowflake ecosystem.

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