Sale: Execution & Success

6 - 11 years

2 - 6 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description


 
The Opportunity
We re hiring customer-facing specialists focusing on AI Success Solutions to lead end-to-end delivery of bespoke AI projects from initial solution design through full customer success ownership. This role merges the depth of a Solutions Architect with the accountability of a Customer Success leader. You will work across pre-sales and post-sales, ensuring our clients see real business value from our AI capabilities. The hiring seniority level will depend on the candidate s depth of experience across customer-facing solution delivery, ability to drive measurable business impact, and demonstrated ownership in ambiguous or fast-paced environments.
Responsibilities Pre-Sale: Discovery Solutioning
  • Partner with Sales and Data Science to deeply understand the customer s business context and challenges.
  • Define clear problem statements, document current state processes, and align on success criteria and KPIs.
  • Design solution architecture and data flow diagrams tailored to each use case.
  • Assess data feasibility and AI-fit for the proposed use case.
  • Set up technical and collaboration workspaces (Slack, Drive, JIRA, etc.) with naming and access discipline.
Post-Sale: Execution Success
  • Own the customer relationship post-sale, acting as the single point of accountability.
  • Manage the execution and implementation of the solution, ensuring clarity of scope, timeline, and handoffs.
  • Lead all internal and customer-facing check-ins, with clear agendas, follow-ups, and next-step ownership.
  • Facilitate UAT and deployment, ensuring measurable outcomes are validated.
  • a and report on success metrics across 30/60/90-day milestones and ensure platform adoption.
Operational Excellence
  • Maintain rigorous documentation: dataset inventories, architectural diagrams, solution design docs, etc.
  • Ensure consistent file naming, visual branding, and version control across all customer-facing material.
  • Keep Slack, HubSpot, JIRA, and Confluence spaces current and synchronized.
  • Proactively escalate blockers, risks, or unclear ownership to leadership with proposed resolutions.
Strategic Growth
  • Identify expansion opportunities based on solution usage and customer success metrics.
  • Collaborate with Product to feed back client needs and usage patterns into roadmap priorities.
  • Act as a trusted strategic advisor to the client, helping them envision and prioritize future AI investments.
Ideal Qualifications
  • At least six (6) years in a hybrid technical+customer-facing role (Solutions Architect, Customer Success, Engagement Manager, etc.).
  • Strong understanding of applied Data Science, ML, GenAI (e.g., LLM Prompting, RAG).
  • Demonstrated success delivering AI or data-driven solutions in a consulting or startup setting.
  • Excellent storytelling and business value articulation skills for both technical and executive audiences.
  • Detail-oriented with exceptional project management and follow-through.
  • Global client experience is strongly preferred.
  • Prior experience in a fast-paced, ambiguous environment with high expectations for ownership and delivery.
  • Professional fluency in English and Spanish is required. Portuguese is a plus.

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