Sr. Sales Engineer (Manufacturing, Logistics & Supply Chain)

Automation Anywhere is a leader in Agentic Process Automation, transforming work with AI-powered automation. As a Senior Sales Engineer, you will advocate for automation solutions, driving adoption in enterprises by aligning technical capabilities with customer needs and enhancing productivity through AI-driven solutions.

Responsibilities:

• Driving Value-Based Selling: Actively lead and manage 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: Implement 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: Demonstrate and co-develop tailored integrations that address clients' unique challenges, highlighting the potential ROI and strategic benefits
• Leading Strategic Evangelization: Spearhead client workshops, promote best practices, and establish thought leadership through participation in marketing and industry events, reinforcing the company's market position
• Architecting Growth Infrastructure: Design and implement 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: Establish and nurture long-term, high-value customer relationships across the sales cycle, acting as a trusted advisor to drive mutual success
• Enhancing Team Expertise: Act 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: Provide 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
• 7+ years of overall professional experience, with 3+ years of relevant experience in sales/pre-sales roles within Intelligent Automation, Cloud, Generative AI, and/or related fields
• Experience working with Data Intelligence platforms like Databricks, Snowflake, Alteryx, DataRobot etc
• Proven experience in SaaS-based solutions, with a strong focus on value-driven selling in enterprise environments
• Proficiency in enterprise-grade application ecosystems (e.g., SAP, Salesforce, Oracle, ServiceNow, Workday, Guidewire etc.) and their integration within automation strategies
• Strong understanding of AI Agents, Agentic Automation, and Agent Interoperability concepts (MCP/A2A)
• Deep understanding of technology trends, emerging standards, and enterprise IT infrastructures
• Ability to travel up to 40% to meet client and business needs
• Strong verbal, written communication, and presentation skills. Eminence experience desired. Strong influencing skills are a must
• Organized and analytical with the ability to eliminate sales obstacles through creative and adaptive
• Experience selling into and working with Manufacturing, Logistics and Supply Chain companies is highly preferred
• Hands-on expertise with workflow automation platforms (e.g., Automation Anywhere, UiPath, Blue Prism, Microsoft, Moveworks, Glean etc.) is highly preferred, including developing and deploying production automations
• Familiarity with certifications in Hyperscalers (e.g., AWS, Azure, GCP) and their advanced solution offerings, including Context Based Knowledge Retrieval (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