Senior Implementation Associate Full Time NEW

Senior Implementation Associate

Location: India (Flexible)

Company: Intelo.ai

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About Intelo

Intelo is a transformation partner building AI agents that drive efficiency, accuracy, and growth across retail businesses. We solve critical supply chain and merchandising workflows using purpose-built AI technology.

Our platform enables retailers to:

– Forecast demand accurately

– Reduce excess inventory

– Improve sell-through

– Make faster, smarter decisions

We operate at the intersection of AI, data, and retail operations — translating complex data into outcomes that move businesses forward.

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Role Overview

We are looking for a Senior Implementation Associate to own end-to-end delivery for a portfolio of enterprise retail clients. This is not a project coordination role. It is a high-accountability delivery role that combines client relationship ownership, technical depth in retail data and AI systems, and operational discipline.

You will be the primary face of Intelo for your clients — owning timelines, communications, and delivery quality. You will work closely with our engineering, data, and product teams to configure, test, and launch AI agents that drive measurable business impact. In time, you will contribute to the processes and playbooks that make the entire team faster and more scalable.

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What We Expect from Every Person at Intelo

This is part of our operating philosophy.

Here to Make a Difference

– Challenges the status quo

– Experiments boldly

– Adapts when the ground shifts

Open by Default

– Raises concerns early

– Shares knowledge transparently

Owns It

– Takes initiative

– Follows process even when it is hard

– Makes decisions with context — not escalation

Product Over Tickets

– Thinks from the customer backwards

– Fights unnecessary complexity

– Automates repetitive work

Always Learning

– Seeks deep understanding

– Uses AI as leverage to improve thinking and output

– Continuously upgrades technical and product judgment

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Key Responsibilities

Client Delivery

– Own end-to-end delivery for 2-4 active client implementations simultaneously

– Lead client-facing calls: weekly syncs, milestone reviews, escalation conversations

– Manage client expectations on scope, timelines, and deliverables — proactively, not reactively

– Coordinate dependencies with product and engineering sprint cycles

– Be the primary point of contact: clients should feel that their implementation is in capable hands

Technical Delivery

– Hands-on data work: data mapping, source validation, pipeline diagnostics, Silver table review

– Configure AI agents (replenishment, demand forecasting, lost sales, item planning, assortment) to client-specific requirements

– Validate fixes and configurations in dev, staging, and production environments

– Triage issues with structure: data issue, configuration issue, product bug, or expectation gap

– Maintain Jira discipline — every issue logged, tracked, and resolved with complete documentation

Process & Playbooks

• Develop deep working knowledge of each agent type you deliver – understand the logic, not just the configuration steps – and translate that into playbooks and documentation that genuinely scale the team’s capability.
• Systematise learnings across clients — undocumented solutions have a half-life of one person’s memory
• Identify patterns across engagements that can be standardised, templated, or automated
• contribute to Intelo’s fast-cycle implementation model (targeting 30-day cycles) or something could be a rewording I might have done. Just to be clear about the fact that it’s not a slow and conservative implementation approach.

Communication & Documentation

– Write weekly client status reports with clarity and ownership

– Maintain client Notion pages: requirements mapping, data mapping, session notes, decision logs

– Capture every decision in writing — nothing stays verbal

– Flag risks to the Implementation Lead same-day. Do not wait for the weekly standup.

Team Contribution

– Support and coach junior team members on technical delivery and client management

– Participate in bi-weekly knowledge shares and monthly retrospectives

– Build knowledge that outlasts your tenure — playbooks, documented edge cases, configuration guides

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Required Qualifications

– 5-9 years of experience in implementation, customer success, solutions delivery, or technical consulting

– Strong retail or supply chain domain knowledge — replenishment, demand planning, inventory management, or merchandising operations

– Comfortable working with data: SQL proficiency, ability to read and validate data pipelines, diagnose data quality issues

– Strong written and verbal communication — you write with clarity, lead calls with confidence, and handle difficult conversations directly

– Disciplined in issue management: structured ticketing, SLA tracking, escalation protocols

– Demonstrated ability to manage multiple enterprise client engagements simultaneously without losing quality

– Genuine ownership mindset — you follow through, flag risks early, and do not need to be chased

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Preferred Experience

– Experience delivering retail planning, analytics, or AI software (e.g., Blue Yonder, o9, Relex, Anaplan, or similar platforms)

– Familiarity with Databricks, SQL, or data engineering concepts

– Track record of improving delivery repeatability through playbooks or process standardisation

– Experience at a high-growth SaaS or AI company in a client-facing delivery role

– Exposure to writing technical documentation: implementation guides, configuration manuals, or runbooks

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What “Senior” Means at Intelo

A strong Senior Implementation Associate at Intelo:

– Owns their client portfolio without needing to be managed

– Communicates risks before they become problems

– Thinks in systems and process — every delivery makes the next one faster

– Is the face of Intelo their client trusts, not just knows

– Builds playbooks and documentation that outlasts their tenure

– Supports the team even while carrying their own delivery load

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Why Join Intelo

– Work on genuinely novel AI applications with measurable business outcomes for global retail brands

– High ownership from day one — no waiting in line to matter

– Direct exposure to enterprise retail operations across luxury, specialty, and mass market clients

– Culture that rewards discipline, transparency, and initiative

– Fast-moving team where your work directly shapes how implementations scale