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AI Implementation Manager

AI Implementation Manager

Sutra.AINashik, IN
6 hours ago
Job description

Role : Senior Implementation Manager

About Sutra.AI

Sutra.AI is a rapidly scaling AI Enterprise SaaS platform powering data-to-decision transformations for mid-market and enterprise clients.

As we expand our delivery footprint, we’re seeking a Senior Implementation Manager who can elevate Sutra’s implementation workflows into a repeatable, productized delivery engine .

The Implementation Leader will own the operational excellence of all AI solution deployments - from data readiness and environment setup to model rollout and go-live assurance .

This is a senior execution leadership role that ensures our technical delivery remains world-class, predictable, and scalable .

You will lead a team of Implementation Managers and cross-functional contributors , partnering closely with Product, AI Engineering, and Value Enablement to turn every customer implementation into a success story and reusable product pattern .

You will report to the Head of Delivery with a dotted line to the CAIO , and be an integral part of Sutra’s Product Leadership Council .

Why This Role Matters

The success of Sutra.AI’s product depends on the precision of its implementation .

This is a remote, detail-heavy execution role focused on managing the technical workflows involved in building AI-powered applications for our customers.

You will not be responsible for high-level strategy , executive relationship management , or value communication - your job is to run the technical implementation playbook with precision so that our AI apps are shipped successfully and on schedule .

Must-Have Qualifications

  • 5+ years of technical project management experience, ideally in AI, data, or software development projects.
  • Proven ability to run delivery projects with remote teams and distributed stakeholders.
  • Familiarity with cloud deployment, data pipelines, APIs, and AI / ML workflows (you don’t need to build, but you should understand dependencies).
  • Experience working in agile or semi-agile environments .
  • Strong communication skills - especially written updates, project tracking, and structured documentation.
  • Highly organized with an ownership mindset - you keep things moving and follow through rigorously.

Required Experience Specifics

  • Customer-facing delivery experience : Direct customer interaction during implementations.
  • Multi-project management : Ability to manage 4–5 concurrent implementations (customer PODs).
  • Crisis management : Experience handling production issues or failed deployments.
  • Key Responsibilities

    1. Delivery Excellence and Workflow Ownership

  • Lead Sutra’s standardized transformation playbook end-to-end - covering data integration, use case definition, AI model development, and deployment.
  • Ensure structured, measurable implementation processes that deliver on-time, high-quality outcomes for every customer.
  • Institutionalize best practices for delivery governance, QA, and release readiness .
  • 2. Productization of Delivery Workflows

  • Partner with the Product and Engineering teams to transform manual or human-in-the-loop (HITL) activities into productized features and automation tools .
  • Continuously evolve the delivery playbook into a scalable digital framework that reduces time-to-live and increases repeatability.
  • 3. Customer Implementation Leadership

  • Serve as the operational bridge between customer goals and technical execution.
  • Drive alignment between Solution Architects, Data Engineers, and Developers to ensure seamless handoffs and milestone tracking.
  • Anticipate and resolve blockers before they impact timelines.
  • 4. People and Process Leadership

  • Build, coach, and manage a team of Implementation Managers capable of handling concurrent enterprise projects.
  • Foster a delivery culture grounded in ownership, precision, and accountability.
  • Implement performance metrics aligned with customer satisfaction, on-time delivery, and risk reduction.
  • 5. Metrics, Reporting, and Governance

  • Track and report delivery health across all accounts using structured dashboards.
  • Define key performance indicators (on-time delivery rate, escalation count, time-to-resolution, customer satisfaction).
  • Support executive leadership in quarterly business reviews and product strategy sessions .
  • 6. Cross-Functional Collaboration

  • Work closely with Product, Sales, and Customer Success to ensure alignment on customer commitments.
  • Partner with AI Productization and Engineering teams to ensure seamless deployment pipelines.
  • Participate in internal leadership meetings , providing data-driven insights on delivery operations.
  • Competencies

  • Execution Leadership : Drives teams toward excellence under pressure while maintaining clarity and calm.
  • System Thinking : Builds scalable workflows that connect technical delivery with productized value.
  • Operational Rigor : Obsessed with timelines, structure, and measurable success.
  • Communication Mastery : Translates between technical and business stakeholders with precision and empathy.
  • Problem Solving : Anticipates issues, diagnoses root causes quickly, and implements sustainable fixes.
  • Ownership Mindset : Treats delivery outcomes as core to Sutra’s reputation and customer impact.
  • Success Metrics

  • ≥ 95% On-Time Delivery Rate
  • 90% Customer Satisfaction (Implementation NPS)
  • Time-to-Resolution : Avg.
  • Reduction in HITL tasks through productization (Quarter-over-Quarter)
  • Role Logistics

    Location : Remote / Bhopal / Noida

    Reporting Structure :

  • Reports to : Head of Delivery
  • Dotted Line : CAIO
  • Collaborates With :
  • Product Management
  • AI Productization
  • Delivery Excellence Team
  • Customer Success & Sales
  • Cadence & Collaboration

  • Weekly Implementation Machine L10
  • Weekly Product-Delivery Sync
  • Value Enablement Sessions
  • Customer SteerCo and Go-Live Reviews
  • Daily Standups and Sprint Reviews
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    Implementation Manager • Nashik, IN

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