Sales Engineering Lead

Role Overview

EvoluteIQ is seeking a Sales Engineering Lead to drive pre-sales and sales engineering activities including technical solution design, and value articulation for enterprise customers adopting the EIQ platform.

This role requires a deep understanding of automation platforms spanning process orchestration, generative AI, machine learning, RPA, and event-driven architecture. The ideal candidate will serve as a trusted advisor—guiding clients through their digital transformation journey and enabling the regional sales team to accelerate strategic wins.

Key Responsibilities

• Lead all technical pre-sales engagements for new opportunities, from discovery, requirement scoping, and solution design to technical validation, proposal creation and proof-of-concept delivery.
• Collaborate with business, sales, and technical teams to understand customer objectives and expand solution footprints.
• Translate business objectives and challenges into robust technical architectures and solution proposals that clearly articulate value, ROI, and platform differentiation.
• Design and deliver customized product demonstrations, solution architectures, and joint proof-of-concepts highlighting the EIQ platform's unified automation capabilities.
• Coordinate for partner enablement workshops and provide ongoing knowledge transfer to enhance Eguardian's sales and delivery maturity.
• Serve as a solution advisor by identifying and shaping new Agentic Automation use cases leveraging AI, ML, RPA, and orchestration.
• Act as a technical liaison between EvoluteIQ's product, engineering, and partner management teams to ensure solution scalability and roadmap alignment.
• Design and present compelling solution demos, proofs of concept (POCs), and architecture blueprints tailored to client industries (banking, healthcare, insurance, telecom).
• Build reusable demo assets, templates, and solution accelerators to support repeatable GTM success.
• Partner with Delivery teams to ensure a seamless handover from pre-sales to implementation.
• Track and report solution adoption, client / partner team's enablement progress, and pre-sales pipeline metrics for leadership review.
• Support RFI / RFP responses, value assessments, and ROI articulation.
• Contribute to thought leadership, webinars, and industry events as a technical evangelist for the EIQ platform.

Required skills and experience

Skills Required

Ml, Servicenow, Bpm, Uipath, LCAP, Power Automate, Ai, Gcp, Pega, Blue Prism, Camunda, Mulesoft, mendix , Data Integration, Process Automation, outsystems, Azure, Aws, Appian