We are seeking a Staff Engineer to serve as the senior technical leader responsible for defining and executing the long-term platform strategy for the AI systems that power our go-to-market organization. This role will directly shape how we use data and AI to improve customer and account health visibility, and drive long-term customer value through increased engagement, adoption, and retention.
You will work from a transparent vision of the desired future state and methodically guide systems toward that outcome through deliberate architectural decisions and pragmatic, iterative execution. As the company accelerates investment in AI, you will play a pivotal role in defining how AI capabilities are designed, governed, scaled, and embedded into core GTM workflows in a secure, reliable, and cost-effective manner.
You'll set the highest engineering standards and act as the strategic technical guide for the team — ensuring that rapid innovation in the application pods never compromises the long-term integrity of the core platform.
This is the role that ensures we can scale from one track to three without breaking what already works.
Responsibilities
Architectural Ownership: Serve as the technical authority for the AI platform, owning architectural direction and long-term system health across multiple business functions. Translate strategic business priorities into scalable architectures that support sustained growth and enterprise adoption.
Platform Evolution: Define and evolve the architecture of our data and AI platform — including data processing pipelines, integration layers, and the services that power real-time account intelligence.
AI Governance: Define standards for AI service governance, evaluation, observability, performance, and cost management. Ensure AI capabilities are production-grade, auditable, and trustworthy.
Technical Leadership: Act as a hands-on technical leader — contributing high-leverage code,
📌 Staff Engineer, GTM AI (Uttar Pradesh)
🏢 Sparix Global
📍 Uttar Pradesh
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