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
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
💡 Quick Summary
Seeking a career-building opportunity? The Client Solutions Lead (AI Services) position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Bangalore offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.