Key Responsibilities:
- Solution Architecture & DiscoveryConduct technical discovery sessions with enterprise clients to analyze legacy systems and business challenges.
Map client problems to Innovature’s core capability pillars: Custom Software Development, Cloud Migration & DevOps, AI/Data Engineering, and Global Capability Center (GCC / BOT) setups.
RFP & Proposal Engineering
Own end-to-end technical proposal development, RFP/RFI responses, and scope estimation (SOWs) for custom software, cloud, and data engagements.
Work with internal practice leaders, data engineers, cloud architects, and delivery teams to build validated, cost-effective project proposals and staffing models.
Demos & Proof-of-Concepts (POCs)
Deliver compelling technical walkthroughs, solution demos, and proof-of-concept (POC) frameworks for data/AI models, cloud migrations, and platform integrations.
Clearly articulate technical advantages and business ROI to both technical leaders (CTOs, VPs of Engineering) and business stakeholders (C-level executives).
Sales Support & Technical Deal Strategy
Partner with sales and account management teams during negotiations to resolve technical objections and clarify architecture decisions.
Conduct competitive analysis and highlight Innovature’s differentiators (e.g., ISO 27001 compliance, AWS/Databricks/Snowflake partnerships, dual-shore delivery models).
Cross-Functional Alignment & Hand-off
Collaborate with engineering and delivery teams to validate technical feasibility, project timelines, and SLAs before contract sign-off.
Ensure seamless knowledge transfer from the pre-sales phase to delivery teams post-deal closure.
Skill Set:
- Pre-Sales & Commercial Skills: RFP/RFI handling, SOW creation, effort estimation, solution design, C-suite presentation skills, and consultative selling.Cloud & DevOps: Foundational understanding of AWS/Azure/GCP cloud migration strategies, DevOps automation, continuous integration/delivery (CI/CD), and 24/7 managed services.
AI, Data & Analytics: Awareness of data modernizations, data engineering/warehousing concepts (Snowflake, Databricks, Denodo), predictive analytics, and conversational AI/chatbots.
Software & Application Modernization: Understanding of full-stack custom software development lifecycles (SDLC), API-first architectures, quality engineering, and enterprise platform integration.
Delivery Models: Familiarity with Global Capability Center (GCC) frameworks, including Build-Operate-Transfer (BOT) and managed service delivery models.
Certifications (If Any):
3+ years of experience in a technical pre-sales, sales engineering, or solutions architecture role within an IT services or consulting firm.
Industry certifications in cloud or data platforms (e.g., Generative AI, Data and Analytics).
Strong domain experience in one or more verticals: Retail/E-commerce, Healthcare (HIPAA compliance), Finance, Telecom, or Media.
Experience
3-7 years
