Salary :
Activate JobCopilot
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Solutions Lead – Pre-Sales & Solution Strategy based in India.
You will join a high-impact pre-sales and solution strategy function operating at the intersection of sales, delivery, product, and client leadership. The role is responsible for shaping large-scale, complex solutions that directly influence multi-million-dollar deal outcomes. You will translate ambiguous client challenges into clear, compelling, and technically credible solution architectures. This position requires strong ownership of deal shaping, storytelling, and technical depth across enterprise technology domains. You will collaborate with globally distributed teams across multiple time zones, contributing to strategic pursuits in highly competitive environments. The role is ideal for someone who thrives in ambiguity, enjoys solving enterprise-scale problems, and wants direct influence on revenue outcomes and solution design direction.
Accountabilities:
- Lead end-to-end deal shaping by translating complex client needs into structured, differentiated, and technically sound solution architectures, ensuring alignment across business, technical, and financial dimensions.
- Own pre-sales solution development across RFPs, RFIs, EOI responses, executive presentations, and client workshops, building narratives that clearly articulate value, ROI, and delivery approach.
- Design and articulate cross-domain solutions spanning applications, cloud, infrastructure, security, data, and AI-driven capabilities, ensuring feasibility and scalability.
- Develop solution estimates, pricing models, and commercial constructs tied to business value, including licensing, cloud costs, tooling, and delivery effort.
- Partner with delivery and engineering teams to ensure proposed solutions are executable, scalable, and aligned with operational reality and constraints.
- Contribute to go-to-market strategy by refining reusable solution assets, reference architectures, and offering frameworks based on deal learnings.
- Support internal enablement by mentoring junior solution engineers and contributing to improved solutioning standards and best practices.
Requirements
- 7–12+ years of experience in pre-sales engineering, solutions architecture, consulting, or enterprise solution strategy roles within IT services, SaaS, or cloud environments.
- Proven track record of influencing or supporting closure of large-scale deals (typically $1M+), including multi-tower or complex enterprise engagements.
- Strong understanding of enterprise technology landscapes, including application modernization, cloud architecture, infrastructure, security, and integration patterns.
- Hands-on exposure to AI-enabled solutions such as RAG systems, copilots, agent-based workflows, and automation-driven architectures.
- Ability to build structured, defensible solution narratives and commercial models (T&M, fixed price, managed services, outcome-based).
- Strong communication and storytelling skills, with experience presenting to C-level stakeholders, procurement teams, and technical audiences.
- Demonstrated ability to operate in ambiguous, fast-paced environments with global, distributed teams.
- Strong analytical mindset with the ability to evaluate trade-offs, risks, and delivery feasibility in complex solution design scenarios.
Benefits
- Competitive compensation with performance-based incentives linked to impact and deal success
- Remote-first working model with flexibility to collaborate across global teams
- Exposure to high-value, strategic enterprise deals with direct influence on revenue outcomes
- Opportunity to shape reusable solution frameworks, GTM offerings, and enterprise architecture standards
- Learning and growth opportunities through complex, cross-domain solution design work
- Collaborative, global environment with senior stakeholders across sales, delivery, and product functions
- Strong autonomy and ownership in defining solution strategy and client-facing narratives.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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