Job Title: Solutions Consulting Manager
Job Code: CUB/2026/SSE/021
Experience: 6 years
Job Location: Infopark, Kochi
Why Join Us?
    • Innovative Environment: Join a forward-thinking company that encourages creativity and problem-solving.
    • Career Growth: Opportunities for professional development and career advancement.
    • Collaborative Culture: Work in a team-oriented environment where your contributions are valued.
    • Competitive Compensation: Attractive salary package and performance-based incentives.

Key Responsibilities
1. End-to-End Pre-Sales Ownership
    • Own the technical pre-sales lifecycle from first discussion to deal closure.
    • Partner with sales to qualify opportunities and define winning strategies.
    • Act as the primary technical voice in client conversations.
2. Discovery & Problem Definition
    • Lead client discovery sessions to understand business goals, constraints, and challenges.
    • Go beyond stated requirements to identify underlying problems and opportunities.
    • Convert ambiguous ideas into structured solution directions.
3. Solution Design & Positioning
    • Design practical, scalable, and business-aligned solutions across AI, web, and enterprise platforms.
    • Create high-level architectures, workflows, and solution narratives.
    • Position solutions in a way that highlights business impact, ROI, and differentiation.

4. Proposal & Deal Support
    • Own the creation of:
    • Proposals
    • Scope documents
    • Solution approaches
    • Effort estimates (with engineering support)
    • Drive RFP/RFI/RFQ responses with clarity and competitiveness.
    • Support negotiations by aligning solution, scope, and commercial structure.
5. AI & Innovation-Led Solutioning
    • Identify opportunities to integrate:
    • Generative AI
    • Automation workflows
    • Data-driven insights
    • Conceptualize and guide PoCs, demos, and prototypes that strengthen deal confidence.
6. Cross-Functional Coordination
    • Work closely with:
    • Engineering & Architecture teams
    • AI/ML teams
    • UI/UX teams
    • Delivery teams
    • Ensure feasibility, alignment, and smooth transition from pre-sales to delivery.
7. Sales Enablement & Thought Leadership
    • Support sales with pitch decks, demos, and solution storytelling.
    • Contribute to reusable assets: case studies, solution frameworks, demo kits.
    • Stay updated on industry trends and bring new solution ideas proactively.
Required Experience
    • 5–10 years in Pre-Sales, Solution Consulting, or Technical Consulting roles.
    • Strong experience in client-facing roles within software services or SaaS.
    • Proven track record of supporting or influencing deal closures.
    • Experience in AI-driven or digital transformation projects is highly preferred.
Technical Skills
    • Strong understanding of modern application architectures:
    • Web & Mobile applications
    • APIs and integrations
    • Cloud-based systems
    • Familiarity with:
    • Backend: Laravel / Node / Python ecosystems
    • Frontend: React or similar frameworks
    • Databases: MySQL or equivalent
    • Good understanding of:
    • Generative AI & LLM ecosystems (OpenAI, Claude, Gemini)
    • Prompt engineering & AI workflows
    • RAG, vector databases (basic understanding is sufficient)
    • Awareness of:
    • AWS / Azure / GCP
    • DevOps basics (CI/CD, Docker)
Core Competencies
    • Strong solutioning mindset with business orientation
    • Ability to translate business problems into technical solutions
    • Excellent proposal writing and presentation skills
    • Strong stakeholder management and communication
    • Ability to handle multiple deals in parallel
    • Ownership mindset with focus on winning deals, not just designing solutions


Preferred Skiila
    • Domain understanding in atleast one among Healthcare, Insurance, SaaS, or Enterprise Platforms
    • Exposure to automation tools (Zapier, Workato, etc.)
    • Familiarity with Microsoft ecosystem integrations
    • MBA or business exposure is a plus
Qualification
    • Bachelor’s degree in Engineering / Technology / Computer Science
    • Relevant certifications in AI, Cloud, or Architecture are an added advantage