Sales Engineer

Role Overview

• Driving Value-Based Selling: Actively leading and managing the technology evaluation stage of the sales process, working closely with the sales team to position solutions based on business outcomes rather than feature functionality, focusing on maximizing deal size and customer impact
• Engaging C-Suite and Technical Stakeholders: Implementing value-selling best practices to effectively communicate and influence both executive-level and deeply technical stakeholders, aligning their strategic goals with proposed solutions
• Showcasing Tailored Solutions: Demonstrating and co-developing tailored integrations that address clients' unique challenges, highlighting the potential ROI and strategic benefits
• Leading Strategic Evangelization: Spearheading client workshops, promoting best practices, and establishing thought leadership through participation in marketing and industry events, reinforcing the company's market position
• Architecting Growth Infrastructure: Designing and implementing robust internal and external frameworks that enable the sales organization, clients, and partners to expand into new markets and segments, driving growth and scalability
• Building Strategic Relationships: Establishing and nurturing long-term, high-value customer relationships across the sales cycle, acting as a trusted advisor to drive mutual success
• Enhancing Team Expertise: Acting as a subject matter expert, contributing to a culture of continuous learning and innovation by sharing insights and best practices on emerging technologies such as Agentic Automation, Large Language Models (LLMs), Retrieval-Augmented Generation (RAGs), Optical Character Recognition (OCR), Robotic Process Automation (RPA), and API integrations
• Collaborate with cross-functional teams to drive strategic conversations and deliver cutting-edge solutions to clients, ensuring the broader team stays aligned with industry trends and technological advancements
• Positioning for Competitive Advantage: Providing strategic technical advocacy to ensure solutions are optimally positioned against competition, focusing on delivering clear, differentiated business value

Requirements

• Bachelor’s degree in Computer Science Engineering, or a related field (required); advanced degrees are a plus
• 4+ years of overall professional experience, with 2+ years of relevant experience in sales/pre-sales roles within Intelligent Automation, Cloud, Generative AI, and/or related fields
• Proven experience in SaaS-based solutions, with a strong focus on value-driven selling in enterprise environments
• Hands-on expertise in automation platforms (e.g., Automation Anywhere, UiPath, Blue Prism) is highly preferred, including developing and deploying production bots
• Experience selling into specific industries (e.g., Supply Chain/Manufacturing, BFSI, Retail) with deep industry knowledge to tailor solutions
• Proficiency in enterprise-grade application ecosystems (e.g., SAP, Salesforce, Oracle, ServiceNow, Workday) and their integration within automation strategies
• Familiarity with Hyperscalers (e.g., AWS, Azure, GCP) and their advanced solution offerings, including Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and GPT-based technologies
• Certifications in leading automation platforms (e.g., Automation Anywhere, UiPath) and cloud technologies are a plus
• Deep understanding of technology trends, emerging standards, and enterprise IT infrastructures
• Ability to travel up to 50% on short notice to meet client and business needs.

Tech Stack

• AWS
• Azure
• Cloud
• Google Cloud Platform
• Oracle
• RPA
• ServiceNow

Benefits

• Flexible work schedule / remote roles
• Unlimited Personal Time Off
• 12 holidays off per year
• 4 days volunteer time off per year
• Eligible for 4 company Achievement days off per year
• Variety of health care and well-being benefits
• Paid family/parental leave