Role Overview
We are looking for a Product Manager to own the workflow layer required to scale Expert Assist efficiently as part of the AI REX product ecosystem. This role will focus on building product-led workflows that improve operational efficiency, reduce manual effort, improve throughput, and enable Expert Assist to scale in a structured and repeatable manner.
The person will be part of the AI REX team and will get exposure to AI REX core flows, including requirement intake, candidate discovery, matching, recommendation, reach out, recruiter workflows, and fulfillment journeys. Expert Assist workflows will be built largely by leveraging AI REX core constructs, rather than creating completely independent systems.
The ideal candidate should have experience in ops workflow products, SaaS-style process design, internal tools, or product-led efficiency improvements. They should be comfortable understanding operational processes, converting them into scalable workflows, and working closely with Product, Engineering, Design, Operations, Sales, and Customer Success teams.
This is a strong execution role for someone who wants to work at the intersection of AI-led recruitment products, workflow automation, and operational scale.

Key Responsibilities

1. Understand Expert Assist Operations and AI REX Core Flows
Deeply understand current Expert Assist operations across request intake, assignment, execution, tracking, quality checks, delivery, and closure.
Develop a strong understanding of AI REX core product flows, including requirement creation, candidate pool generation, matching, reach out, feedback loops, and fulfillment workflows.
Identify where Expert Assist workflows can reuse or extend existing AI REX constructs instead of building separate processes.
Map current operational gaps and define target-state workflows that are scalable, measurable, and product-led.

2. Define Roadmap Based on Efficiency and Scale Outcomes
Own the product roadmap for Expert Assist workflow capabilities within the AI REX ecosystem.
Prioritize initiatives based on measurable efficiency outcomes such as reduced manual effort, improved throughput, faster turnaround time, better visibility, and lower process leakage.
Define clear success metrics for workflow improvements and track post-release impact.
Balance quick operational fixes with longer-term workflow capabilities that can scale with AI REX adoption.

3. Build Workflow Capabilities Leveraging AI REX Constructs




Build workflow capabilities for Expert Assist by leveraging AI REX core constructs such as requirements, candidate pools, matching outputs, recruiter actions, task states, feedback signals, and fulfillment stages.
Own capabilities such as task management, queue management, assignment logic, status tracking, SLA visibility, escalation workflows, quality checks, and operational dashboards.
Work with Engineering and Design to create simple, scalable, and intuitive workflows for internal users.
Ensure Expert Assist workflows remain aligned with AI REX product architecture and do not become fragmented, one-off operational tools.

4. Reduce Manual Effort and Improve Throughput
Identify repetitive manual steps across Expert Assist operations and convert them into structured product workflows.
Drive automation opportunities through rule-based routing, templates, structured inputs, alerts, nudges, and system-driven task movement.
Improve execution consistency by standardizing operational steps inside the product.
Help teams move from people-dependent execution to system-led execution wherever feasible.

5. Support Expert Assist GTM Readiness
Support Expert Assist GTM readiness from a product and process standpoint.
Ensure workflows are scalable enough to support customer demand, sales commitments, and service-level expectations.
Partner with Sales, Customer Success, and Operations to define internal readiness requirements before wider rollout.
Help create process clarity, internal documentation, and workflow visibility required for successful launch and scale-up.

6. Partner Closely with Cross-Functional Teams
Work closely with AI REX Product, Engineering, Design, Operations, Sales, and Customer Success teams.
Convert operational feedback and customer-facing needs into structured product requirements.
Write clear PRDs, user stories, workflow maps, acceptance criteria, and success metrics.
Ensure timely execution, adoption, and iteration of workflow capabilities.

Required Skills and Experience
2–3 years of product management or product-adjacent experience.
Experience working on operations workflow products, internal tools, SaaS products,



productivity platforms, CRM-like systems, or process automation products.
Robust ability to understand business processes and translate them into clear product workflows.
Good analytical ability with comfort using data to identify inefficiencies and measure improvement.
Ability to write clear PRDs, user stories, workflow maps, and acceptance criteria.
Strong execution orientation with the ability to work closely with Engineering, Design, Operations, and Business teams.

Comfort working in evolving problem spaces where processes are still being defined and need to be productized.
Curiosity to work on AI-led recruitment workflows and build familiarity with AI REX core flows over time.

Preferred Qualifications
Prior experience with workflow automation, task management systems, service operations, customer support tools, recruitment operations, or B2B SaaS platforms.
Exposure to AI-led products, matching systems, recommendation workflows, or recruitment technology.
Experience working on dashboards, SLA management, queue systems, routing logic, or operational reporting.
Ability to simplify complex manual processes into scalable product experiences.
Comfort working with product systems that involve multiple user types, task states, and operational dependencies.

Key Success Metrics
Reduction in manual effort across Expert Assist operations.
Improvement in task throughput and turnaround time.
Better visibility into request status, ownership, SLA, and completion.
Higher adoption of workflow capabilities by internal teams.
Better reuse of AI REX core constructs for Expert Assist execution.
Reduction in process leakage, escalations, and follow-up dependencies.
Improved GTM readiness through scalable workflows and process clarity.

Ideal Candidate Profile
The ideal candidate is a structured, execution-focused Product Manager who enjoys solving operational problems through product thinking. They should be able to understand messy real-world processes, break them down clearly, and build workflows that make teams faster, more efficient, and more scalable.
They should also be excited to work as part of the AI REX team and get exposure to AI-led recruitment flows, while owning the workflow layer that helps Expert Assist scale. This person should be hands-on, detail-oriented, comfortable working with operations teams, and capable of delivering product improvements that create measurable efficiency impact.

📌 Product Manager - NaukriB) (Noida)
🏢 Info Edge
📍 Noida