Princeton IT Services, Inc. is hiring a results-driven Meta Ads Specialist with 2 to 5 years of hands-on experience to plan, execute, optimize, and report on paid advertising campaigns across Facebook and Instagram. This full-time role is based out of Gudivada, Andhra Pradesh, and operates during US-aligned night shift hours.
Job Details
| Attribute | Information |
| Hiring Organization | Princeton IT Services, Inc. |
| Job Title | Meta Ads Specialist |
| Experience Required | 2 to 5 Years |
| Employment Type | Full-Time |
| Shift Timings | 6:30 PM – 3:30 AM IST (Night Shift) |
| Job Location | Gudivada, Andhra Pradesh, India |
About Organization
Princeton IT Services, Inc. is an IT consulting and digital solutions provider delivering custom technology, digital marketing, enterprise software, and staffing solutions for global clients across various domain verticals.
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Key Responsibilities
- Campaign Strategy & Execution: Plan, launch, and manage Facebook and Instagram campaigns focusing on Lead Generation, Traffic, Conversions, and Sales objectives.
- Audience & Targeting Optimization: Build and refine Custom Audiences, Lookalike Audiences, and Retargeting frameworks with precise segmentation and exclusions.
- Analytics & Technical Tracking: Implement and manage Meta Pixel, Conversions API (CAPI), and Events Manager for accurate lead attribution, event tracking, and performance monitoring.
- Testing & Creative Collaboration: Conduct systematic A/B testing on ad copy, visuals, hooks, and offers in collaboration with design and content teams to maximize ROAS and lower CPA/CPL.
- Performance Reporting: Track key performance metrics (CTR, CPC, CPM, CPL, CPA, ROAS, frequency), optimize budgets/bids, and prepare insightful weekly and monthly client reports.
How to Apply & Registration Details
Eligible candidates can view the complete job description and apply directly through the official Princeton IT Services job portal:
- Official Application Link:Apply for Meta Ads Specialist at Princeton IT Services
Qualification & Skill Requirements
- Hands-on Experience: 2 to 5 years in managing paid Meta (Facebook & Instagram) ad campaigns with demonstrable ROI/ROAS.
- Core Technical Competencies: Deep proficiency in Meta Ads Manager, Meta Pixel setup, Conversions API (CAPI), and Events Manager.
- Analytical Skills: Mastery over key digital metrics (CPA, CPL, ROAS, CTR, Frequency) and campaign funnel optimization.
- Preferred Experience: Working knowledge of GA4, Google Tag Manager (GTM), CRM tools, landing page optimization (CRO), and direct-response creative frameworks.
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Skills You’ll Gain
| Category | Specific Tools & Competencies Mastered |
| Ad Technology & Tracking | Meta Ads Manager, Meta Pixel, Conversions API (CAPI), Events Manager, GA4/GTM. |
| Performance Marketing | ROAS Optimization, Lookalike & Retargeting Audiences, CPL/CPA Reduction, Funnel Strategy. |
| Creative & Testing | Creative A/B Testing, Conversion Rate Optimization (CRO), Direct-Response Copy Strategy. |
Frequently Asked Interview Questions (With Answers & Solution Guidelines)
Meta Pixel & Conversions API (CAPI) Integration
- Question:“How does combining Meta Pixel with Conversions API (CAPI) mitigate data loss from browser-level privacy restrictions like iOS 14+ updates?”
- Answer & Solution Context: Meta Pixel relies on client-side third-party browser tracking, which can be blocked by ad blockers or privacy measures. Conversions API establishes server-to-server tracking, sending web event data directly from the website’s server to Meta’s servers. Implementing both with proper deduplication using unique
event_idparameters ensures maximum event match quality and accurate conversion attribution.
ROAS & CPA Campaign Optimization
- Question:“What key steps do you take when a high-performing Meta ad campaign experiences a sudden increase in CPL/CPA and ad fatigue?”
- Answer & Solution Context: First, check frequency metrics to confirm ad fatigue. If frequency is high, refresh ad creatives (hooks, visuals, formats) and expand target audience sizes or testing broad targeting. Simultaneously, inspect the post-click user journey (landing page loading speed, form friction) and adjust bidding strategies (e.g., switching from Cost Cap to Lowest Cost or vice versa) to stabilize performance.