Head Business and Operations
Head of Business Operations Enterprise AI Deployment
Location: Chandigarh
Company: Lambda Function
Reporting to: Chief Executive Oicer / Business Leadership
About Lambda Function
Lambda Function is building the AI-native manufacturing platform for precision manufacturers.
Our mission is to enable autonomous precision manufacturing by applying AI across CNC
programming, machining, quotation, quality, and sustainability.
We work with sophisticated aerospace, semiconductor, automotive, and other precision
manufacturing organizations. Our enterprise engagements involve deploying AI into real-world
manufacturing environments requiring close coordination across customer engineering teams,
data, AI models, software, and manufacturing processes.
The Role
We are looking for a Head of Business Operations to build and lead Lambda Functions enterprise
deployment engine.
When a customer purchases our Foundation Program, we take responsibility for establishing the
data, manufacturing knowledge, AI models, workows, and operational environment required to
successfully deploy our technology.
Today, much of this execution is handled by Product and Engineering. As we scale, we need a
dedicated function that owns customer deployment from commercial hando through
successful go-live and transition into ongoing lifecycle management.
You will be the operational owner of customer deployment.
Your mandate is simple:
Make every enterprise deployment predictable, repeatable, high-quality, and successful
without requiring Product & Engineering to become the deployment organization.
This is a builder role. You will establish the processes, tools, operating rhythms, and eventually the
team required to scale enterprise deployments from a handful of customers to dozens and ultimately
hundreds.
What You Will Do
Own Enterprise Deployment
Take ownership of customer engagements immediately following commercial close.
Translate the SOW into a detailed implementation plan with milestones, owners,
dependencies, and acceptance criteria.
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Coordinate customer Manufacturing Engineering, IT, Operations, and leadership
stakeholders.
Drive data / knowledge acquisition, AI model development and validation, software
deployment, training, and go-live.
Own customer acceptance and transition into ongoing Model Lifecycle Management.
Build the Deployment Operating System
Create a repeatable playbook covering:
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Customer onboarding
Data and knowledge acquisition
Model development and validation
Deployment readiness
Customer acceptance
Training and enablement
Go-live
Post-deployment hando
Model Lifecycle Management
The objective is to move from every deployment is a custom project to we have a proven
deployment system.
Orchestrate Product & Engineering
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Translate customer requirements into clear internal actions.
Manage technical dependencies against customer commitments.
Determine when Engineering involvement is required and ensure it is focused and eicient.
Prevent customer deployments from becoming unmanaged interruptions to Product &
Engineering.
Drive Customer Outcomes
Track and improve:
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Time-to-go-live
On-time deployment
Model / deployment quality
Customer adoption
Programming time reduction
Customer acceptance
Customer satisfaction
Engineering eort per deployment
Who You Are
We are looking for a high-ownership operator and builder who thrives at the intersection of
customers, technology, and execution.
Required
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712+ years in business operations, enterprise implementation, technical program
management, professional services, customer success, or similar roles.
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Experience managing complex B2B enterprise deployments.
Demonstrated ability to build processes and operating systems from scratch.
Exceptional project management, communication, and stakeholder management skills.
Comfortable working directly with senior enterprise customers.
Strong bias toward action and accountability.
Comfortable operating in a fast-moving startup with signicant ambiguity.
Strongly Preferred
Experience with:
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Manufacturing / industrial technology
Aerospace, semiconductor, automotive, or precision manufacturing
CNC / CAM / CAD / PLM / MES
Industrial AI / ML deployments
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Enterprise SaaS implementation
Digital transformation / Industry 4.0
Manufacturing engineering experience is a signicant advantage.
What We Value
Builder mentality. You enjoy turning recurring heroics into repeatable processes.
Extreme ownership. When something is at risk, you ask What needs to happen to x it? rather
than Whose responsibility is this?
Customer obsession. You care deeply about whether the customer actually achieves value not
simply whether the project was technically completed.
Technical curiosity. You dont need to be the deepest AI or manufacturing expert, but you must be
able to understand complex technical environments and work credibly with engineers and
manufacturing professionals.
What Success Looks Like
Within 612 months, Lambda Function has a repeatable enterprise deployment engine where:
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Foundation Programs consistently launch and complete on schedule.
Customers have clear expectations and accountability.
Deployment risks are identied early.
Product & Engineering involvement is structured and predictable.
Customers reach productive use quickly.
Foundation Programs transition cleanly into Model Lifecycle Management.
Deployment volume can increase signicantly without proportional growth in engineering
overhead.
This is not a project management role.
It is an opportunity to build the operating system through which Lambda Function delivers AI
into the worlds most sophisticated manufacturing environments.
