Client Solutions Lead (AI Services)

Awign

Bengaluru

On-site

INR 1,500,000 - 2,500,000

Full time

14 days+

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Job summary

A leading company in AI services seeks a client-facing operator to manage US-based accounts. This role combines client ownership, strategic problem-solving, and operational management. Ideal candidates will have 5-10 years of relevant experience in AI/data services, with a strong ability to communicate, solve problems, and drive client success. This position offers high visibility and an opportunity to shape service delivery at scale.

Qualifications

  • 5–10 years of experience in AI/data services or consulting.
  • Proven management of US-based clients across time zones.
  • Background in Project Management or Client Success.

Responsibilities

  • Own end-to-end relationships with US-based clients.
  • Ensure timely and high-quality project delivery.
  • Design workflows for scalable service delivery.

Skills

Client communication
Project management
Structured thinking
Problem-solving
Stakeholder management

Job description

Awign is looking for a high-agency, client-facing operator who can bridge strategy, delivery, and client relationships in the AI services space. This is not a traditional Key Account Manager role — we’re seeking someone who combines the ownership mindset of a Founder’s Office role with the execution rigor of a Project Manager and the client maturity of a senior account lead.

You will own end-to-end client engagements, particularly with US-based customers, while working closely with internal delivery, operations, and leadership teams to scale high-quality AI service delivery.

Key Responsibilities
1. Client Ownership & Relationship Management
  • Own end-to-end relationships with US-based clients, acting as the primary point of contact
  • Build strong, trust-based partnerships with stakeholders across product, data, and operations teams
  • Understand client goals deeply and translate them into actionable delivery plans
  • Drive regular business reviews, reporting, and strategic discussions
2. Delivery & Program Management
  • Oversee execution of AI/data service programs (annotation, data operations, model support workflows, etc.)
  • Ensure projects are delivered on time, within scope, and with high quality
  • Collaborate with internal ops teams to manage capacity, workforce planning, and timelines
  • Identify risks proactively and drive mitigation strategies
3. Process Building & Scaling
  • Design and optimize workflows for scalable service delivery with a product mindset
  • Standardize processes across projects to improve efficiency and quality
  • Drive continuous improvement in delivery frameworks, QA mechanisms, and reporting systems
  • Work closely with leadership to build repeatable, scalable service models
4. Strategic Problem Solving
  • Act as a thought partner to clients on how to scale their AI/data operations
  • Break down ambiguous problems into structured execution plans
  • Identify upsell and expansion opportunities within existing accounts
  • Bring insights from client interactions to inform internal product/service evolution
5. Cross-functional Leadership
  • Work closely with operations, quality, product, and leadership teams
  • Align internal stakeholders toward client success and delivery excellence
  • Mentor junior team members and drive accountability across teams
Who You Are
Experience & Background
  • 5–10 years of experience in AI/data services, consulting, IT services, or productized service startups
  • Strong exposure to companies working in AI data operations, annotation, or ML workflows
  • Proven experience managing US-based clients and working across time zones
  • Background in roles such as Project Management, Program Management, Client Success, or Founder’s Office
Core Skills
  • Strong client communication and stakeholder management skills
  • Excellent program/project management capabilities
  • Experience building and scaling processes or operations
  • Structured thinking and problem-solving ability
  • Ability to operate in ambiguity and take end-to-end ownership
Mindset
  • High ownership and accountability — operates like a business owner, not just a role owner
  • Product mindset applied to services (focus on scalability, repeatability, and efficiency)
  • Comfortable in fast-paced, evolving environments
  • Strong bias for action and execution
Why This Role is Unique
  • Combines strategy, operations, and client ownership in one role
  • High visibility with leadership and direct impact on business growth
  • Opportunity to shape how AI services are delivered at scale
  • Ideal for someone looking to transition into a Founder’s Office / business leadership path
Nice to Have
  • Experience in AI data labeling, annotation, or ML ops workflows
  • Exposure to global clients, especially in the US tech ecosystem
  • Prior experience in scaling teams or building new service lines
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