About the Company
Kobai Inc. is headquartered in San Francisco Bay Area in Pleasanton, CA just outside of San Francisco city. We are a fast-growing business analytics company with a rapidly growing customer base and revenue. The company invests in cutting edge data analytics and AI technologies to continue building the next generation decision intelligence products.
Kobai is a leader in digital thread product using the decision intelligence engine using a contextual knowledge graph technology. We help drive bottom line business impact and hidden insights for customers with our self-service, low code and visualization using Kobai’s Decision Studio and Control Tower 360 products.
Position Overview & Key Responsibilities
This role is responsible for doing the following:
- Deliver in-depth technical product demos/ presentations to customers and prospects at all levels within an organization.
- Pre-Sales interface with customers to deliver POC’s and technical competitive analysis, ROI analysis and discovery.
- Design architectural overviews for existing and potential customers.
- Support the post-sales cycle through the elimination of technical objections and build rapport with the data science and engineering teams at prospective customers.
- Work with data scientists and analytic teams to define and implement project specific data management approaches.
- Demonstrate the ability to deliver the technical features, competitive advantages and business benefits of their solutions.
- Be a trusted advisor, supporting customers through every step of the sales process.
- Actively build client relationships at all stakeholder levels.
- Understand both business challenges and technical requirements of prospective clients, and build a full onboarding plan, working with different departments (such as Product, R&D, Onboarding, and others) to get the prospective clients successfully adopting the platform.
- Anticipates client needs and generates solutions ahead of time.
Knowledge, Experience & Qualifications
- 4-8 years of experience in software engineering/technical pre-sales, selling cloud- based enterprise and SaaS software.
- Experience with data analytics technologies and some knowledge of machine learning or AI technologies.
- Preferred degree in Engineering, Computer Science, Mathematics, Statistics or related field.
- A professional with 5+ years, experience in pre-sales.
- You have a proven track record of successful customer engagement, having worked with multiple teams.
- You’ve been exposed to integration architecture and it’s helped you build your knowledge of corporate and enterprise platforms.
- You also have experience in scoping, management and execution of customer pilots as well as POCs, and great skill in the integration of SaaS applications.
- It is important that you have a technical mindset, allowing you to tackle complex data analytics, web, API, and architecture problems, heavy client-facing experience, experience. Familiarity with cloud-based services (AWS, Azure, GCP, etc).
- You have solid business acumen and can fully comprehend complicated business requirements, translating those into technical solutions that meet the needs of the business.
- You’re detail oriented, passionate about sales and people, and are willing to travel.
- Additionally, you’re an excellent written and oral communicator, and a team player who’s comfortable working alone when you need to.
Cultural Fit
- Self-driven and motivated to grow and learn.
- Relentlessly curious and prepared to challenge the status quo.
- Proven experience working through amorphous problems in a dynamic, fast-paced environment.
- Ability to provide strategic clarity and tactical direction to customers and team members.
- Seeks continuous progress and improvement and strives to achieve the best outcomes.
- Show an entrepreneurial spirit: acts with precision and speed.
- Takes the long-term view to build trusting and sustainable relationships.
- Communicates effectively through convincing arguments and skillful negotiation.
US Based
Canada Based
US / Canada
Full Time
Remote