Product Manager

Department Icon Data Science Analytics & Machine Learning
Posted: 4 months ago
4-6 years
Bengaluru / Bangalore, Karnataka
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 4 months ago
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Job Description

About the Role

  • We are looking for a Product Manager who operates like an owner, not a coordinator. This role sits
  • at the center of delivery, client management, engineering execution, and AI-native operations.
  • You will work closely with founders, engineers, designers, QA, and clients to ensure products are
  • delivered on time, within scope, and at a consistently high quality bar. You should be equally
  • comfortable running sprint cadences, translating ambiguous business requirements into
  • execution-ready tickets, and building AI-driven workflows that improve delivery efficiency.
  • This is a hands-on execution role for someone who thrives in fast-moving environments and can
  • independently drive outcomes across multiple accounts.
  • You can read more about us here: https://www.tequity.tech/
  • Key Responsibilities

1. Delivery & Sprint Operations

  • ● Own sprint planning, backlog management, stand-ups, retrospectives, and release
  • coordination.
  • ● Drive execution cadence across pods and ensure predictable delivery.
  • ● Maintain accurate status reporting, delivery tracking, risk logs, and stakeholder
  • communication.
  • ● Control scope proactively and prevent delivery drift.
  • ● Surface blockers early and ensure timely resolution.

2. Business-to-Technical Translation

  • ● Convert founder ideas, business requirements, and client requests into clear
  • engineering-ready specifications and tickets.
  • ● Ensure product intent is preserved without over complicating scope.
  • ● Collaborate closely with engineering and design teams to align execution with business
  • priorities.

3. AI-Native Workflow Building

  • ● Build and deploy AI-driven workflows, prompts, agents, and analysis pipelines to improve
  • delivery operations.
  • ● Identify repetitive operational tasks and automate them wherever possible.
  • ● Use AI tools hands-on to accelerate documentation, reporting, sprint analysis, and
  • workflow management.

4. Technical & Engineering Collaboration

  • ● Read and understand codebases at a high level.
  • ● Participate meaningfully in architecture and technical discussions.
  • ● Identify inconsistencies, risks, or technical gaps during delivery conversations.
  • ● Work effectively with engineering teams without becoming a bottleneck or
  • micromanager.

5. Engineering Metrics & Operational Excellence

  • Track and improve engineering delivery metrics including:
  • ○ Deploy Frequency
  • ○ Lead Time
  • ○ Change Failure Rate
  • ○ MTTR
  • ○ Bug Escape Rate
  • ● Maintain strong delivery quality standards across accounts and pods.

6. Account Ownership & Client Management

  • ● Own client accounts end-to-end from onboarding to delivery continuity.
  • ● Run weekly client updates, monthly retrospectives, and stakeholder reviews.
  • ● Build strong founder/client relationships beyond formal meetings.
  • ● Anticipate issues before escalation and communicate proactively.
  • ● Identify upsell, renewal, and expansion opportunities for Tequity.
  • ● Deliver difficult updates transparently while maintaining trusts.

7. Cross-Functional Pod Coordination

  • ● Coordinate execution across engineering, design, and QA teams.
  • ● Lead without relying on direct reporting authority.
  • ● Support the pod actively instead of managing from a distance.
  • ● Ensure accountability, alignment, and smooth collaboration across functions.

8. Stakeholder Persuasion & Negotiation

  • ● Drive alignment on scope, timelines, quality standards, and technical debt allocation.
  • ● Negotiate priorities effectively while balancing delivery constraints and business goals.
  • ● Influence clients and internal teams using data, trust, and execution credibility.
  • Required Skills & Experience
  • ● 4+ years of experience in Product Management, Delivery Management, or Technical
  • Program Management roles.
  • ● Strong understanding of Agile and sprint-based delivery operations.
  • ● Experience working closely with engineering teams in fast-paced environments.
  • ● Familiarity with AI tools, LLM workflows, prompt engineering, or agent-based automation.
  • ● Strong written and verbal communication skills.
  • ● Ability to manage multiple client accounts simultaneously.
  • ● Experience with tools like Jira, Notion, Linear, ClickUp, or similar platforms.
  • ● Strong analytical and problem-solving mindset.
  • ● Understanding of software architecture and engineering workflows.

What We Value at Tequity

  • ● Integrity: Surfaces problems early and Follow through on commitments.
  • ● High Standards: Produces work that reflects strong operational and communication
  • quality.Maintains excellence across delivery artifacts and client interactions.
  • ● Accountability: Owns outcomes, not effort. Focused on shipped, accepted, and
  • successful delivery.
  • ● Customer Focus: Treats client products like their own. Operates as an extension of both
  • the client and internal engineering teams.
  • ● Learning Mindset: Adopts new tools, AI workflows, and operational practices
  • quickly.Continuously improves systems, processes, and team effectiveness.
  • Why Join Tequity
  • ● Work directly with founders and high-growth startups.
  • ● Operate in an AI-native engineering environment.
  • ● Influence delivery systems, workflows, and product execution at a foundational level.
  • ● High ownership, fast execution, and meaningful

Skills

Prompt EngineeringAi

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