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Campaign Management - Campaign Ads I Exp- 7 -11 Years

Paytm

  • Bengaluru, India
  • Not disclosed
  • 7 -11 Years
  • Posted Yesterday
HR
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About the role

About Us

Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology.

About Role:-

The Campaign Operations Lead will own campaign delivery, performance optimization, and team excellence for managed service advertisers. This role demands high aptitude, strong analytical depth, and hands-on AdTech expertise, with the ability to connect platform mechanics, measurement, and business outcomes.

You will lead a team that operates at the intersection of AdTech systems, data analysis, and advertiser execution.

Key Responsibilities:-

Team Leadership & Analytical Excellence

  • Lead, mentor, and develop a team of Campaign Operations Specialists/Managers, setting a high bar for analytical rigor and AdTech understanding.
  • Drive structured thinking, hypothesis-driven optimizations, and data-backed decision making.
  • Upskill the team on platforms, measurement frameworks, and ecosystem best practices.

Campaign Delivery & Performance Ownership

  • Own end-to-end delivery across Paytm Ads inventory (Search, Display, Native, Post-Transaction, Video) and the Programmatic ecosystem
  • Ensure zero-defect launches, accurate targeting, bidding, tracking, pacing, and reporting.
  • Act as final escalation owner for complex delivery, measurement, or performance issues.

Advanced Optimization & Insights

  • Conduct deep-dive analysis on performance drivers across inventory, creatives, bids, audiences, and funnels.
  • Apply advanced optimization frameworks to improve CTR, CVR, CPA, and ROAS.
  • Translate learnings into repeatable playbooks and SOPs. AdTech,

Measurement & Platform Collaboration

  • Partner closely with Product and Tech teams to debug and improve auction mechanics, pacing logic, attribution, and reporting.
  • Ensure correct interpretation of conversion signals, post-transaction events, and MMP data.
  • Represent Campaign Ops in platform discussions with senior internal stakeholders.

Key Metrics Youll Own

  • Campaign delivery accuracy & SLA adherence
  • Portfolio-level performance improvement (CTR, CPA, ROAS)
  • Analytical quality of insights & optimization impact
  • Team productivity & Quality
  • Advertiser satisfaction and retention

Required Qualifications

Experience & Aptitude

  • 7 -11 years of experience in Ad Operations, Campaign Management, or Performance Marketing with deep AdTech exposure.
  • 2+ years of experience managing AdOps / Campaign Ops teams.
  • Demonstrated high aptitude and strong analytical problem-solving ability.
  • Proven ability to work with large datasets, diagnose issues, and drive structured solutions.

AdTech & Platform Expertise

Mobile Measurement Partners (MMPs) - Appsflyer, Branch, Adjust etc Google & Meta Ad Platforms Demand-Side Platforms (DSPs) - DV360, TTD etc

Supply-Side Platforms (SSPs) - Magnite, Pubmatic Ad Exchanges & Programmatic Ecosystem

Measurement, Auctions & Optimization

  • Deep understanding of ad auctions, bidding strategies, pacing algorithms, frequency, and budget control.
  • Strong grasp of attribution models, conversion windows, incrementality, and funnel analysis.
  • Advanced proficiency in Excel / Google Sheets; SQL / BI tools is a strong plus.

Skills & Leadership Traits

  • Exceptionally strong analytical and reasoning skills
  • Deep curiosity for AdTech systems and mechanics
  • Ability to simplify complex concepts for teams and stakeholders
  • Strong people leadership and coaching mindset
  • Comfort operating in fast-paced, data-heavy environments

Why join us?

  • A collaborative output driven program that brings cohesiveness across businesses through technology
  • Improve the average revenue per use by increasing the cross-sell opportunities
  • A solid 360 feedback from your peer teams on your support of their goals
  • Respect, that is earned, not demanded from your peers and manager

Compensation

If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 25 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants and we are committed to it. India's largest digital lending story is brewing here. Its your opportunity to be a part of the story!

Eligibility & process

Who can apply

See the job description for eligibility.

Skills & stack

SQL Advanced Excel Operations Management Project Coordination Reporting

Selection process

  1. As described in the employer's job posting.

Prep kit

20 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1 Core Tech Stack (SQL, Advanced Excel, Operations Management, Project Coordination, Reporting) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion Paytm Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join Paytm as a Campaign Management - Campaign Ads I Exp- 7 -11 Years?
Highlight Paytm's market reputation, recent tech innovations, and how your skills in SQL directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Paytm Not disclosed
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