Sales Engineering Lead Job at EvoluteIQ (Bengaluru)

Sales Engineering Lead

EvoluteIQ

Location:
India , Bengaluru

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

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. You will design, demonstrate, and enable innovative automation solutions powered by the EIQ Platform. You will collaborate closely with both clients/partners and EvoluteIQ teams to co-create scalable, differentiated, and business-impactful Agentic Automation use cases across industries such as banking, insurance, and telecom.

Job Responsibility:

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

Requirements:

8–10 years of experience in pre-sales, solution engineering, or consulting for enterprise software, automation, or AI-driven platforms
Hands-on knowledge of process automation, AI/ML, data integration, API orchestration, or low-code/no-code environments
Experience collaborating with global channel partners, system integrators, or technology alliances
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
Strong communication, executive presentation, and solution storytelling abilities
Strategic thinker with the ability to influence joint go-to-market initiatives and co-create customer success outcomes
Bachelors or Masters degree in computer science, Engineering, or a related field
MBA preferred but not mandatory

What we offer:

Opportunity to shape the strategy of a next-gen hyper-automation platform
Work with a cross-disciplinary team in a fast-growing, innovation-driven environment
Competitive compensation and growth opportunities
A culture of innovation, ownership, and continuous learning

Additional Information:

Job Posted:
December 08, 2025

Employment Type:

Fulltime

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