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Senior Product Manager (Workflow Execution Platform)
Senior Product Manager (Workflow Execution Platform)
Agentic Universe's logo

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

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