Project Manager - Product Operations at Amagi Media Labs · Chennai · 6 - 8 years · ₹20L - ₹20L / yr · Profitable · Posted 27 Dec 2021

Job Location: Chennai
Condé Nast is looking for a Project Manager - Product Operations who has proven
experience in project management and the ability to lead projects across various
teams. We are looking for a creative and dedicated individual who will fit with our
collaborative culture. You will be working closely across teams to ensure that all
project requirements, deadlines, and schedules are on track.
Primary Responsibilities
● Become a subject matter expert on experience with customer
segmentation, profiling, merchandising and targeting
● Produce high-level product requirements, iterate with design and
engineering teams.
● Engage and coordinate across teams to maintain product and strategy
alignment.•
● Manage the roadmap, prioritize product opportunities, refine feature ideas and
maintain existing features to drive business goals.
● Communicate project status, key issues and decisions, coordinate meetings
through the project lifecycle with appropriate business units and stakeholders
● Ensure delivery happen on time
● Focus on continual improvement and innovation through retrospective
Desired Skills & Qualification
● 6 to 8 years Project Management experience
● 1+ years of work experience in digital marketing / brand marketing
/ performance marketing in a consumer-centric business
● PMP certified
● A proven track record of working with engineers, and various stakeholders
to coordinate,plan, execute, and track product releases end to end.
● Experience managing data projects and online web applications
● Proven ability to manage multiple initiatives at the same time
● Excellent written and verbal communication skills
● Strong problem solving skills and willingness to think outside the box and roll
up one’s sleeves to get the job done
● Familiarity with agile software development methodologies.
● Proven ability to create clear, detailed, concise documentation -
Business Requirement, stories,
● Status reports, roadmaps, charts, etc. (please include samples)
● Proficient with one or more PM and Roadmap tools such as MS Project,
Jira, ProdPad, as well as MS Excel, Visio, PowerPoint and Word
● Experience and interest in media, publishing, and / or a related industry is a
plus
● Knowledge of UAT and QA/QC processes is an added advantage
● Strong understanding of technologies (Python, JS, Java, Cloud services, etc.) is
a plus
● Bachelor’s degree in business or information technology preferred.
About Condé Nast
CONDÉ NAST GLOBAL
Condé Nast is a global media house with over a century of distinguished publishing
history. With a portfolio of iconic brands like Vogue, GQ, Vanity Fair, The New Yorker
and Bon Appétit, we at Condé Nast aim to tell powerful, compelling stories of
communities, culture and the contemporary world. Our operations are headquartered
in New York and London, with colleagues and collaborators in 32 markets across the
world, including France, Germany, India, China, Japan, Spain, Italy, Russia, Mexico, and
Latin America.
Condé Nast has been raising the industry standards and setting records for excellence
in the publishing space. Today, our brands reach over 1 billion people in print, online,
video, and social media.
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and
social platforms - in other words, a staggering amount of user data. Condé Nast made
the right move to invest heavily in understanding this data and formed a whole new
Data team entirely dedicated to data processing, engineering, analytics, and
visualization. This team helps drive engagement, fuel process innovation, further
content enrichment, and increase market revenue. The Data team aimed to create a
company culture where data was the common language and facilitate an environment
where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London.
The team at Condé Nast Chennai works extensively with data to amplify its brands'
digital capabilities and boost online revenue. We are broadly divided into four groups,
Data Intelligence, Data Engineering, Data Science, and Operations (including Product
and Marketing Ops, Client Services) along with Data Strategy and monetization. The
teams-built capabilities and products to create data-driven solutions for better
audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create
diverse forms of self-expression. At Condé Nast, we encourage the imaginative and
celebrate the extraordinary. We are a media company for the future, with a remarkable
past. We are Condé Nast, and It Starts Here.

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- Experience with project management tools such as Jira, Azure DevOps, Microsoft Project, Smartsheet, or similar platforms.
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- Strong communication, leadership, organizational, and problem-solving skills.
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- Stakeholder management
- Risk and issue management
- Budget and resource management
- Agile/Scrum methodology
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- Team leadership
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- Reporting and documentation
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- Familiarity with capital markets concepts such as trade lifecycle, securities
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Location : Remote (India)
Roles & Responsibilities
Product Strategy & Discovery
- Identify customer, business, and market opportunities through stakeholder engagement, customer research, discovery workshops, and data analysis.
- Define product vision, roadmap, value proposition, success metrics, and prioritization aligned with business objectives.
- Translate business and customer needs into product requirements, user stories, PRDs, and acceptance criteria.
- Own and continuously prioritize the product backlog based on business value, feasibility, dependencies, risks, and strategic priorities.
AI & Digital Innovation
- Identify and evaluate opportunities to leverage Generative AI, automation, and emerging technologies across products and business processes.
- Define AI-focused use cases, business cases, success metrics, user journeys, and MVP/PoC strategies.
- Collaborate with AI/ML, data, architecture, and engineering teams to convert AI opportunities into scalable product solutions.
- Drive adoption of AI across the product lifecycle and SDLC, including discovery, requirements management, development, testing, analytics, documentation, and support.
- Contribute to enterprise-wide AI initiatives and help scale successful AI PoCs into production-ready solutions.
Presales, Consulting & Solutioning
- Lead or contribute to RFP responses, proposals, client discovery sessions, workshops, and solution presentations.
- Understand client challenges and translate them into digital transformation, modernization, and AI-driven product opportunities.
- Develop solution concepts, use cases, product capabilities, roadmaps, value propositions, and implementation strategies.
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- Generative AI, AI product thinking, AI use-case identification, and digital innovation.
- Presales, consulting, solutioning, RFP response management, and client engagement.
- Strong business acumen with the ability to connect technology initiatives to business outcomes.
- Excellent communication, presentation, facilitation, and stakeholder management skills.
- Strong understanding of Agile/Scrum methodologies and end-to-end product delivery.
- Ability to collaborate effectively with engineering, architecture, UX, QA, data, and AI/ML teams.
- Strong analytical, problem-solving, and decision-making capabilities.
- Ability to manage ambiguity, multiple workstreams, and senior client stakeholders.
Qualifications
- B.E./B.Tech in Computer Science, Information Technology, Engineering, or an equivalent discipline.
- MBA or certifications in Product Management, Business Analysis, or related fields preferred.
- 10+ years of experience in Product Management, Product Ownership, or Business Analysis.
- Experience working in Agile/Scrum environments with cross-functional technology teams.
- CSPO, PSPO, CBAP, or CCBA certifications are desirable.
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Mandatory(Experience 2)- Must have a metric-backed track record improving numbers — owned numbers, a steady experimentation cadence (A/B tests, rollouts, readouts), and comfort with analytics: funnels, cohorts, drivers, causal reasoning, measurement hygiene
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- Define product vision, roadmap, value proposition, success metrics, and prioritization aligned with business objectives.
- Translate business and customer needs into product requirements, user stories, PRDs, and acceptance criteria.
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- Identify and evaluate opportunities to leverage Generative AI, automation, and emerging technologies across products and business processes.
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- Lead or contribute to RFP responses, proposals, client discovery sessions, workshops, and solution presentations.
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- Leverage customer feedback, product analytics, experimentation, and market insights to drive continuous product improvement.
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Core Competencies
- Product strategy, discovery, roadmap planning, prioritization, and backlog management.
- Generative AI, AI product thinking, AI use-case identification, and digital innovation.
- Presales, consulting, solutioning, RFP response management, and client engagement.
- Strong business acumen with the ability to connect technology initiatives to business outcomes.
- Excellent communication, presentation, facilitation, and stakeholder management skills.
- Strong understanding of Agile/Scrum methodologies and end-to-end product delivery.
- Ability to collaborate effectively with engineering, architecture, UX, QA, data, and AI/ML teams.
- Strong analytical, problem-solving, and decision-making capabilities.
- Ability to manage ambiguity, multiple workstreams, and senior client stakeholders.
Qualifications
- B.E./B.Tech in Computer Science, Information Technology, Engineering, or an equivalent discipline.
- MBA or certifications in Product Management, Business Analysis, or related fields preferred.
- 10+ years of experience in Product Management, Product Ownership, or Business Analysis.
- Experience working in Agile/Scrum environments with cross-functional technology teams.
- CSPO, PSPO, CBAP, or CCBA certifications are desirable.
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Turn messy real-world problems into simple products.
AbleCredit builds software for complex enterprise workflows where AI, APIs, business rules, human decisions, and real-world operations have to work together reliably. We care about building products that work in production - not just in demos. Our customers don't arrive with clean product requirements. They have operational problems involving people, policies, existing systems, edge cases, and workflows built over years. Product at AbleCredit means understanding that complexity deeply and turning it into reusable, simple product capabilities.
What You'll Own?
• Spend time with customers and internal teams to understand workflows, constraints, and the real problem behind requests.
• Translate ambiguous operational problems into clear product requirements, user journeys, and measurable outcomes.
• Work closely with engineering and design from discovery through rollout rather than handing off specifications.
• Prioritize based on customer impact, product strategy, effort, risk, and reuse across customers.
• Define success metrics and evaluate whether shipped products actually improve the workflow.
• Own launches, feedback loops, adoption, and iteration after release.
• Identify patterns across customer requests and turn them into reusable platform capabilities instead of one-off customizations.
• Maintain clarity on what we are building, why we are building it, and what we deliberately are not building.
What We're Looking For?
• 1-5 years of product, engineering, analytics, consulting, operations, or adjacent experience; level will be calibrated to experience.
• Strong problem decomposition and structured thinking.
• Ability to understand technical systems, APIs, data flows, and constraints well enough to work deeply with engineers.
• Excellent written and verbal communication.
• Comfort speaking with customers and asking detailed questions until the underlying workflow is understood.
• Bias toward evidence, prototypes, and shipped outcomes rather than process for its own sake.
• Ability to operate with ambiguity and make sensible trade-offs.
Nice to Have
• Experience with B2B SaaS, enterprise software, workflow products, fintech, or AI-assisted products.
• Technical background or prior engineering experience.
• Experience working with APIs, integrations, analytics, or operational products.
• Experience taking a product from discovery through adoption.
How Product Works Here?
Product managers are expected to understand the problem deeply, not act as ticket routers. The best solution may be a new feature, a platform primitive, a workflow change, an API, or deciding not to build something. Success is measured by customer and product outcomes, not PRD volume.






