Location: Bangalore
Experience: 3–5 years
Type: Full-time | On-site
Start: Immediate
Why this role exists
Most AI products fail not because they lack capability, but because they don’t deliver repeatable outcomes at scale.
We are building a platform where AI agents don’t just respond — they execute workflows reliably across enterprises.
This role exists to ensure:
- We can deploy across multiple Tier-1 customers without breaking
- We can measure outcomes, not activity
- We become impossible to replace at renewal
What you’ll do
You will not manage a backlog.
You will own the product as a system that drives business outcomes.
1. Build the workflow execution platform (v2)
- Ship a platform that supports 3+ concurrent Tier-1 deployments without custom forks
- Eliminate one-off implementations — move toward configurable, reusable systems
- Ensure the product works across real enterprise environments, not ideal ones
2. Own outcome tracking and monetization layer
- Design instrumentation to track:
- Business outcomes (conversion, recovery, resolution)
- Not just interactions or usage
- Enable hybrid pricing models (Stage 2) across multiple accounts
- Ensure every deployment can prove ROI clearly
3. Convert customer reality into product roadmap
- Work directly with insurers like:
- SBI Life Insurance, HDFC Life, ICICI Prudential Life Insurance
- Translate:
- Feedback
- Failure modes
- Operational friction
- into clear product priorities
- Build features that make the platform 2x harder to rip out at renewal
4. Create new AI-native product segments
- Identify workflows that were not possible before AI
- Build entirely new categories of automation and execution
- Go beyond efficiency — enable new revenue or capability layers
5. Drive cost reduction and operational efficiency
- Reduce dependency on:
- Support teams
- Manual intervention
- Move toward self-serve, reliable execution
- Target: support dependency → near zero
6. Improve activation and time-to-value
- Reduce deployment/activation time to 7–21 days
- Work closely with deployment teams to remove friction
- Ensure customers see value within weeks, not months
7. Own customer experience of the product
- Ensure live customers:
- Are satisfied
- See consistent performance
- Track and improve:
- Reliability
- Latency
- Outcome success rates
What success looks like
- Platform supports multiple Tier-1 deployments without breaking
- Outcome tracking is clear, trusted, and monetizable
- Customers can prove ROI within weeks
- Product becomes deeply embedded and hard to replace
- Activation happens in ≤ 21 days
- Support dependency drops significantly
Who you are
- You have 3-5 years of product management experience
- You have built systems, not just features
- You are comfortable working in:
- Ambiguous environments
- Customer-facing contexts
- You think in:
- Outcomes
- Trade-offs
- Systems design
What will make you stand out
- Experience building enterprise SaaS or AI platforms
- Strong understanding of:
- Workflow systems
- Integrations
- Operational constraints
- Have worked closely with customers to shape product direction
- Have built products that are used daily in production environments
Why join
- You will define how AI actually works in enterprises
- Your work directly impacts:
- Revenue
- Retention
- Product defensibility
- You will build a platform that moves from demos → real execution
What this role is not
- Not a backlog manager
- Not a feature prioritizer in isolation
- Not disconnected from customers
What this role is
- A system builder
- A translator of customer reality into product truth
- A driver of outcome-based product thinking
One question to self-evaluate
Can you build a product that works across multiple enterprise customers without breaking — and proves its value every single day?
Shubham Vishwakarma
Full Stack Developer - Averlon
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