GoComet
Website:
gocomet.com
Job details:
We already have AI Digital Workers live with paying customers.
This role owns the gap between a demo that impresses and a Digital Worker that a customer trusts with their money.
The Role
GoComet builds AI Digital Workers that run freight processes end-to-end—not copilots that merely suggest, but workers that execute the job and escalate only what they cannot handle. Some of these workers are already live with enterprise customers and generating revenue.
As the Head of AI Products, you will own the entire AI product portfolio, along with the two factors that determine whether it can truly scale:
- How reliable a Digital Worker must be before it can act autonomously.
- Whether the underlying enterprise data is accurate enough to support those decisions.
Very few product leaders have owned both responsibilities because very few companies have progressed far enough to encounter this challenge.
Why This Role Is Worth Your Next Four Years
Build the future of Enterprise SaaS
The biggest question facing AI today is simple:
When can an AI system be trusted to make decisions involving real money?
Every company is trying to answer that question. At GoComet, you'll solve it with live enterprise customers—not in a research lab.
Work with uniquely valuable data
We operate across the entire freight lifecycle:
- Contracted freight
- Actual shipments
- Carrier execution
- Billing and invoicing
All connected at shipment level across hundreds of enterprises, particularly in Asia where logistics data is deepest and least standardised.
The product already generates revenue
Customers already pay for our AI products.
You won't be starting a science experiment.
You'll take proven products from working to trusted, then scale them globally.
Own the decisions
You'll:
- Report directly to the Chief Product Officer
- Own company-level business metrics
- Chair the AI release gate
- Build the product organisation as the business grows
Models are becoming cheap. Inference will soon be almost free.
The real challenge is knowing which decisions AI can safely make—and ensuring the underlying data is trustworthy enough to support them.
That's the job.
What You'll Own
1. The AI Product Line
Own the roadmap for:
- GoVista
- Viera
- Context-Aware Products
- Autonomous AI Digital Workers
You'll decide:
- What gets built
- What gets removed
- What ships first
You'll also:
- Convert open pilots into paying customers
- Identify and eliminate blockers preventing adoption
- Own AI pricing and packaging alongside commercial leadership
- Build and lead the AI Product team as the business scales
2. The Autonomy Bar
For every Digital Worker and every decision it makes, you'll define:
- When human approval is required
- When the AI can operate independently
You'll:
- Chair the AI release gate
- Approve every autonomous deployment
- Sign readiness and reliability reviews alongside the CISO
- Make the final Go/No-Go decision using evaluation results
The evaluation team provides the metrics.
You decide the bar.
3. The Data Foundation
Everything starts with the decision the AI must make.
You'll work backwards to define:
- Required data fields
- Source systems
- Joins
- Freshness requirements
Then convert these into customer-specific data contracts.
You'll also:
- Identify weaknesses in GoComet's own data pipelines
- Resolve missing identifiers and inaccessible datasets
- Partner directly with customer IT and Operations teams
- Integrate ERP, TMS, WMS, carrier portals, emails and documents
- Continuously reduce customer onboarding time
4. Trust & Governance
You'll define:
- What every Digital Worker can access
- Customer-specific permissions
- Escalation policies
- Human oversight rules
Working closely with the CISO, you'll ensure enterprise buyers have everything required to approve autonomous AI systems.
You'll also document:
- What AI handles automatically
- What always requires human intervention
What We're Looking For
1. Product Leadership
- 10+ years of professional experience
- 7+ years in Product Management
- Experience owning a business metric or P&L—not just a roadmap
2. Production AI Experience
You've successfully shipped AI or Machine Learning products to enterprise customers and understand why most AI initiatives fail after pilot deployments.
3. Reliability Ownership
You've defined and defended reliability thresholds where incorrect AI decisions had real financial consequences.
4. Enterprise Data Expertise
Deep understanding of:
- Entity matching
- Master data management
- Schema design
- Data contracts
- Data quality measurement
You have personally worked with enterprise systems such as ERP platforms and transformed customer data into production-ready solutions.
Assumed Skills
We're not screening specifically for these, but we expect you to have:
- Working knowledge of SQL and Python
- Understanding of:
- Retrieval
- Embeddings
- RAG
- Grounding
- AI evaluations
- Strong technical writing skills capable of producing documentation that becomes operational standards
Bonus Experience
Experience in any of the following is highly valued:
- Logistics
- Supply Chain
- Freight Technology
- Procurement Technology
- Transportation Platforms
- Building and leading Product teams
- Document extraction at enterprise scale
- Multi-language document processing (especially Asian languages)
- Knowledge Graphs
- Enterprise Search
- Information Retrieval
- Enterprise Security & Compliance
- Usage-based or outcome-based pricing models
This Probably Isn't Your Role If...
- You believe the model itself is the most interesting part of AI.
- You expect someone else to solve the data problem.
- You prefer consensus over making difficult product decisions.
- You're uncomfortable defining reliability thresholds that determine whether AI acts autonomously.
About GoComet
GoComet is a Series B Enterprise SaaS company with over 300 employees, building AI-powered logistics software for some of the world's largest enterprises.
Our platform powers freight procurement, shipment visibility and logistics intelligence for global organisations including:
- Unilever
- Tata Motors
- Yokohama
- Schneider Electric
- Dr. Reddy's
across Asia, Europe and the United States.
We believe in:
- First-principles thinking
- Evidence-based decisions
- Fast execution
- Building products that deliver measurable customer impact
Role Details
Level
Senior Individual Contributor initially, with responsibility to build the Product team
Experience
10+ years overall, including 7+ years in Product Management
Click on Apply to know more.
