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Senior Product Manager (Workflow Execution Platform)
Senior Product Manager (Workflow Execution Platform)
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Senior Product Manager (Workflow Execution Platform)

Anubhav Kumar Rai's profile picture
Posted by Anubhav Kumar Rai
3 - 5 yrs
₹32.4L - ₹36L / yr
Bengaluru (Bangalore)
Skills
Product Management
Product Strategy
Product development
Workflow analysis

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?


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Agentic Universe

Founded :
2022
Type :
Product
Size :
20-100
Stage :
Raised funding

About

Agentic Universe - AI Agents that run outcomes for your teams
Read more

Company social profiles

N/A

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