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

Experience : 8–10 years of experience in pre-sales, solution engineering, or consulting for enterprise software, automation, or AI-driven platforms.

Domain Expertise : Hands-on knowledge of process automation, AI / ML, data integration, API orchestration, or low-code / no-code environments.

Partner Ecosystem Exposure : Experience collaborating with global channel partners, system integrators, or technology alliances.

Technical Proficiency : Familiarity with one or more BPM (Appian, Pega, Camunda), LCAP (Outsystems, Mendix) and automation stacks (e.g., ServiceNow, UiPath, Power Automate, Blue Prism, MuleSoft) and cloud platforms (AWS, Azure, or GCP), as well as Agentic AI and Generative AI technologies.

Proven ability to connect technical capabilities with business outcomes and present to C-suite stakeholders.

Soft Skills : Strong communication, executive presentation, and solution storytelling abilities.

Mindset : Strategic thinker with the ability to influence joint go-to-market initiatives and co-create customer success outcomes.

Bachelor's or master's degree in computer science, Engineering, or a related field; MBA preferred but not mandatory.