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ACE Infoway
ACE Infoway cover picture
Founded :
1999
Type :
Services
Size :
100-1000
Stage :
Profitable

About

Ace Infoway is a passionate ‘go-to’ Technology Partner for web/software agencies and businesses in various industry verticals, across the globe as an extended partner and offshore development center.
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Jobs at ACE Infoway

ACE Infoway
at ACE Infoway
Suketu Dave
Posted by Suketu Dave
Ahmedabad
10 - 15 yrs
₹20L - ₹40L / yr
Product Management
Saas
B2B
Artificial Intelligence (AI)
Agile/Scrum

Role Overview

The Lead Product Manager is responsible for owning product strategy, execution, and product maturity across one or more SaaS product areas. This role drives product vision, multi-quarter roadmaps, and revenue outcomes, while also playing a key role in building and scaling product practices, people, and culture.

The Lead PM works closely with Engineering, Design, Data/AI, Sales, Marketing, and Service Delivery leaders to ensure products are customer-centric, scalable, and aligned with long-term business goals.


Key Responsibilities

Product Strategy & Execution

  • Define and drive product vision, strategy, and multi-quarter roadmaps aligned with business objectives.
  • Identify and prioritise initiatives that drive revenue growth, adoption, retention, and expansion.
  • Translate strategy into epics, features, user stories, and acceptance criteria.
  • Own and continuously groom the product backlog to ensure clarity and prioritisation.
  • Act as Product Owner within Agile/Scrum teams, leading sprint planning, reviews, and retrospectives.
  • Track and analyse product performance metrics to guide roadmap decisions.


Organization-Building Responsibilities

  • Define and refine product development processes including discovery, prioritisation, backlog management, release planning, and feedback loops.
  • Help design the product career ladder, mentoring frameworks, and capability development practices.
  • Participate in hiring, onboarding, and coaching Product Managers, Designers, and Product Analysts.
  • Educate Sales, Services, and Delivery teams on product ways-of-working, including “no custom fork” principles.


Cross-Functional Leadership

  • Work closely with Service Delivery leaders to convert repeatable client solutions into scalable product roadmap items, rather than bespoke projects.
  • Partner with Marketing to develop strong product narratives and positioning for different verticals.
  • Collaborate with UX, QA, and Engineering to ensure usability, quality, and scalability.
  • Support major launches and go-to-market initiatives.

AI-Led Product Expectations

AQe Digital is explicitly building an AI-led product organization, and Product Managers are expected to make AI and data central to how products evolve.

The Lead Product Manager will:

  • Identify and prioritize high-impact AI use cases such as prediction, recommendations, and automation.
  • Partner with data scientists and ML engineers to translate models and data into reliable, user-facing features.
  • Define data requirements, feedback loops, and evaluation criteria for AI capabilities.
  • Track AI-specific metrics alongside traditional KPIs, including model quality, automation rates, error rates, and business impact.
  • Ensure responsible AI usage, with attention to fairness, explainability, privacy, and regulatory considerations in sensitive domains.
  • Raise AI literacy across teams, clearly communicating what AI can and cannot do, and using AI-driven insights to inform product and business decisions.


Candidate Requirements

Core Product Management

  • 6–8 years of Product Management experience (10–15 years overall).
  • Strong experience managing SaaS or B2B products.
  • Proven ownership of product strategy, roadmaps, and execution.
  • Deep understanding of Agile/Scrum methodologies.
  • Strong experience writing epics, user stories, and acceptance criteria.

Business & Leadership Skills

  • Strong understanding of revenue-driven product metrics.
  • Ability to balance strategic thinking with hands-on execution.
  • Experience mentoring PMs and influencing cross-functional leadership.
  • Excellent stakeholder management and communication skills.

Qualifications (Preferred)

  • Bachelor’s degree in Engineering, Computer Science, Business, or equivalent.
  • Experience with AI-enabled or data-driven products.

 



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