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Senior Product Manager Workflow Execution Platform

💼 Full-time🗓 2026-07-29

Core

Building a workflow execution platform where AI agents reliably execute tasks across enterprise environments, focusing on repeatable outcomes and monetization.

Role type

Senior Product Manager (Enterprise SaaS / AI Platform)

Builds

A configurable, reusable workflow execution platform supporting multiple Tier-1 enterprise deployments.

Domain

Enterprise AI / Workflow Automation / Insurance Technology

Deliverable

production ML models | product features

Required skills

Product management for enterprise SaaS, systems design, outcome-based product thinking, customer feedback translation, pricing model design, deployment strategy, operational efficiency analysis.

Preferred skills

Experience building enterprise SaaS or AI platforms, deep understanding of workflow systems and integrations, experience with operational constraints, direct customer collaboration.

Technologies

AI agents, workflow execution engines, enterprise integration frameworks, instrumentation tools.

Responsibilities

Ship a platform supporting 3+ concurrent Tier-1 deployments without custom forks, design instrumentation to track business outcomes and enable hybrid pricing, translate customer feedback from insurers into product priorities, identify new AI-native product segments, drive cost reduction by minimizing support dependency, reduce deployment activation time to 7–21 days, ensure consistent performance and reliability for live customers.

Seniority

Senior, hands-on IC

Rewrite
## About the role 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 ## Responsibilities 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 ## Requirements - 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 ## What we offer - 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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