Find Your Dream Advertising Job

Urgent Hiring: Digital Advertising Specialist (Facebook & Google Ads)

Remote Work Full-Time Position

We're actively looking for an experienced Digital Advertising Specialist to manage and optimize paid media campaigns across Facebook and Google for a diverse range of global clients. If you're data-driven, results-oriented, and passionate about performance marketing - we'd love to hear from you!

Key Responsibilities:

Plan, launch, and optimize ad campaigns across Facebook and Google platforms.

Monitor performance metrics and continuously adjust strategies to improve results.

Manage large advertising budgets efficiently to maximize ROI.

Collaborate with creative teams to develop engaging and effective ad content.

Provide regular campaign reports with actionable insights and improvement suggestions.

Requirements:

Minimum 5 years of hands-on experience with Facebook and Google Ads.

In-depth knowledge of tracking, audience segmentation, and A/B testing.

Strong analytical mindset, attention to detail, and a focus on performance.

Bonus points for candidates with agency experience or global campaign exposure.

What We Offer:

100% remote work - flexible location and working hours.

Competitive salary with performance-based bonuses.

Fast-paced, supportive work environment with room for growth.

Opportunity to run large-scale campaigns with international reach.

How to Apply:

Please send your CV and a portfolio of past campaigns to our recruitment team with the subject line:

"Application - Digital Advertising Specialist"

Dear LinkedIn Community,

We're excited to present an opening for dedicated individuals to join our team as a Specialist in Advertising Sales (Ad Sales).

Key Responsibilities:

• Proactive outreach to emerging content creators with intent to implement priority solutions.
• Identify & prioritize solution implementation opportunities in one-time engagement with emerging content creators.
• Consultative Sales: Demonstrate an ability for consultative sales to achieve pilot goals.
• Portfolio Management: Responsible for managing a portfolio of emerging content creators, primarily from India.
• Market Research: Gain a fundamental understanding of industries, market(s), and client business models to customize experiences for content creators.
• Product Optimization: Educate content creators how to frequently assess and optimize product performance.
• Tailored Solutions: Where applicable, provide content creators with tailored solutions to meet their objectives.
• Continuous Improvement: Suggest improvements for ad products and customer experiences.
• Knowledge Development: Develop and maintain expert working knowledge of our advertising solutions and their impact on performance.

Qualifications:

• Language Proficiency: professional command of English (US accent preferred) and Hindi (verbal required, written optional).
• Sales Experience: At least 1 year of sales/ Ad sales/ marketing experience, entrepreneurial thinking, and a "go the extra mile" attitude.
• Outbound calling experience required, preferred experience in Customer Success or Account Management roles.
• General Work Experience: 3 years of general work experience
• Work Ethic: Highly motivated individuals with a strong work ethic are needed.
• Proven ability in building relationships and effective multi-touch cross/upselling throughout a relationship.
• Immediate implementation or adoption of personalized client recommendations.
• Delivering exceptional customer experience through a multi-touch cross/upselling.
• Ability to perform in a fast-paced environment, having accountability of own metrics and results.
• Soft Skills: Strong analytical, organizational, and creative thinking skills, along with excellent communication and interpersonal skills focused on sales.

Apply now and seize this opportunity to launch your career to new heights! Join us today!

Digital Advertising Specialist (Facebook & Google Ads)

Location: Remote Employment Type: Full-Time

Are you passionate about driving performance through data-driven ad strategies? We're looking for a skilled Digital Advertising Specialist to lead paid media efforts across Facebook and Google Ads for a global roster of clients.

Key Responsibilities:

Plan, launch, and optimize advertising campaigns on both Facebook and Google platforms.

Analyze campaign performance metrics and implement strategic adjustments for improvement.

Manage large-scale advertising budgets with a focus on efficiency and return on investment.

Partner with creative teams to produce compelling ad visuals and messaging.

Maintain up-to-date documentation and provide monthly reporting on ad spend and campaign outcomes.

Ideal Candidate:

Minimum of 5 years of direct experience in performance marketing or digital advertising.

Advanced knowledge of Facebook Ads Manager and Google Ads interfaces.

Familiarity with audience segmentation, split testing, and conversion tracking techniques.

Highly motivated, detail-oriented, and thrives in a results-focused environment.

Bonus if you've worked in a digital agency or handled international advertising campaigns.

Perks & Benefits:

100% remote work - flexibility to operate from anywhere.

Attractive salary package with incentive-based bonuses.

Growth potential in a collaborative and fast-moving marketing team.

Opportunities to work on diverse, high-impact campaigns with international reach.

How to Apply:

Send your CV and campaign portfolio to our recruitment team. Use the subject line:

"Application - Digital Advertising Specialist"

Candidates for this position are preferred to be based in Bangalore and will be expected to comply with their team's hybrid work schedule requirements.

Who We Are:

Wayfair is moving the world so that anyone can live in a home they love - a journey enabled by more than 3,000 Wayfair engineers and a data-centric culture. Wayfair's Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques.

The Advertising Optimization & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions.

We are looking for an experienced Senior Machine Learning Scientist to join the Advertising Optimization & Automation Science team. In this role, you will be responsible for building intelligent, ML-powered systems that drive personalized recommendations and campaign automation within Wayfair's advertising platform. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your ML expertise to define and deliver 0-to-1 capabilities that unlock substantial commercial value and directly enhance advertiser outcomes.

What You'll do

• Design and build intelligent budget, tROAS, and SKU recommendations, and simulation-driven decisioning that extends beyond the current advertising platform capabilities.
• Lead the next phase of GenAI-powered creative optimization and automation to drive significant incremental ad revenue and improve supplier outcomes.
• Raise technical standards across the team by promoting best practices in ML system design and development.
• Partner cross-functionally with Product, Engineering, and Sales to deliver scalable ML solutions that improve supplier campaign performance. Ensure systems are designed for reuse, extensibility, and long-term impact across multiple advertising workflows.
• Research and apply best practices in advertising science, GenAI applications in creative personalization, and auction modeling. Keep Wayfair at the forefront of innovation in supplier marketing optimization.
• Collaborate with Engineering teams (AdTech, ML Platform, Campaign Management) to build and scale the infrastructure needed for automated, intelligent advertising decisioning.

We Are a Match Because You Have:

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field.
• 9+ years of experience in building large scale machine learning algorithms.
• 4+ years of experience working in an architect or technical leadership position.
• Strong theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, transformers and NLP techniques.
• Proficiency in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade products.
• Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organization.
• Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis; Excellent written and verbal communication.
• Ability to partner cross-functionally to own and shape technical roadmaps
• Intellectual curiosity and a desire to always be learning!

Nice to have

• Experience with GCP, Airflow, and containerization (Docker).
• Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc.
• Familiarity with Generative AI and agentic workflows.
• Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning.

About Neotradevibe:

Neotradevibe is a dynamic startup revolutionizing industry/sector, e.g., e-commerce, tech solutions, or creative services with innovative products and a customer-centric approach. We're building a vibrant team to amplify our brand and connect with global audiences.

Position: Marketing Specialist

Location: 100% Remote

Employment Type: Full-time

What You'll Do:

• Develop and execute creative marketing campaigns across digital platforms (social media, email, SEO, PPC).
• Create engaging content (posts, blogs, videos) to boost brand awareness and customer engagement.
• Manage and grow Neotradevibe's social media presence (LinkedIn, Instagram, TikTok, etc.).
• Analyze campaign performance using tools like Google Analytics, Meta Ads Manager, or similar to optimize results.
• Collaborate with cross-functional teams to align marketing strategies with business goals.

What We're Looking For:

• 1-2 years of experience in marketing, with a focus on digital marketing or content creation.
• Proficiency in advertising platforms (Google Ads, Meta Ads, etc.) and analytics tools.
• Strong creative and storytelling skills to craft compelling brand messages.
• Excellent organizational and time-management skills, with the ability to work independently in a remote setting.
• Passion for innovation and staying updated with the latest marketing trends.
• Bonus: Experience with graphic design tools (Canva, Adobe Creative Suite) or video editing software.

Why Join Neotradevibe?

• Work remotely from anywhere with flexible hours.
• Be part of a fast-growing startup with opportunities for career growth.
• Collaborate with a passionate, creative team dedicated to making an impact.
• Competitive salary and performance-based incentives.

How to Apply:

Send your CV, a brief cover letter, and a portfolio (if applicable) to by insert deadline, e.g., May 30, 2025 .

Shortlisted candidates will be contacted for an interview.

• Join Neotradevibe and help us redefine the future of industry/sector !

Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements.

Who We Are

Wayfair's Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques.

The Advertising Optimization & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions.

We are looking for an experienced ML Scientist III to join the Advertising Optimization & Automation Science team. In this role, you will be responsible for the development of budget, tROAS and SKU recommendations and other machine learning capabilities supporting our ads business. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your engineering and machine learning skills to solve some of our most impactful and intellectually challenging problems to directly impact Wayfair's revenue.

What you'll do

• Provide technical leadership in the development of an automated and intelligent advertising system by advancing the state-of-the-art in machine learning techniques to support recommendations for Ads campaigns and other optimizations.
• Design, build, deploy and refine extensible, reusable, large-scale, and real-world platforms that optimize our ads experience.
• Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped machine learning solutions
• Collaborate closely with various engineering, infrastructure, and machine learning platform teams to ensure adoption of best-practices in how we build and deploy scalable machine learning services
• Identify new opportunities and insights from the data (where can the models be improved? What is the projected ROI of a proposed modification?)
• Research new developments in advertising, sort and recommendations research and open-source packages, and incorporate them into our internal packages and systems.
• Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on.

We Are a Match Because You Have:

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field.
• 6-9 years of industry experience in advanced machine learning and statistical modeling, including hands-on designing and building production models at scale.
• Strong theoretical understanding of statistical models such as regression, clustering and machine learning algorithms such as decision trees, neural networks, etc.
• Familiarity with machine learning model development frameworks, machine learning orchestration and pipelines with experience in either Airflow, Kubeflow or MLFlow as well as Spark, Kubernetes, Docker, Python, and SQL.
• Proficiency in Python or one other high-level programming language
• Solid hands-on expertise deploying machine learning solutions into production
• Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity

Nice to have

• Familiarity with Machine Learning platforms offered by Google Cloud and how to implement them on a large scale (e.g. BigQuery, GCS, Dataproc, AI Notebooks).
• Experience in computational advertising, bidding algorithms, or search ranking
• Experience with deep learning frameworks like PyTorch, Tensorflow, etc.