Urwah Admin

Pavago

Job Title: LinkedIn Ads Specialist
 Position Type: Full-Time – Remote
 Working Hours: EST Time Zone
 
About the Role
 Pavago is hiring for one of its clients and is seeking an experienced LinkedIn Ads Specialist to manage high-performing advertising campaigns across a portfolio of 10–15 clients. This role is ideal for someone who is analytical, results-driven, and skilled at leveraging LinkedIn’s advertising ecosystem to generate measurable outcomes. You will be responsible for building, optimizing, and reporting on LinkedIn ads while ensuring each client’s goals and KPIs are met.
 
Responsibilities
 Campaign Strategy & Execution
 <ul>
<li>Design, implement, and optimize LinkedIn Ads campaigns for multiple clients.</li>
<li>Conduct market research and audience analysis to develop effective advertising strategies.</li>
<li>Test creatives, audiences, and formats to continuously improve performance.</li>
</ul>
Performance Monitoring & Optimization
 <ul>
<li>Monitor daily campaign performance and adjust strategies to improve ROI.</li>
<li>Analyze campaign data to identify trends, insights, and opportunities.</li>
<li>Prepare weekly and monthly performance reports supported by clear recommendations.</li>
</ul>
Client Collaboration & Communication
 <ul>
<li>Work closely with clients to understand objectives, budgets, and expectations.</li>
<li>Provide strategic guidance and insights to maximize campaign effectiveness.</li>
<li>Communicate results and next steps in a clear, professional manner.</li>
</ul>
Industry Knowledge & Improvement
 <ul>
<li>Stay informed about LinkedIn advertising tools, updates, and best practices.</li>
<li>Suggest new ideas, tactics, and innovations to enhance results.</li>
</ul>
What Makes You a Perfect Fit
 You excel in managing multiple advertising accounts while maintaining exceptional quality and attention to detail. You make decisions based on data, not guesswork, and you’re proactive in finding solutions before problems arise. You communicate clearly, collaborate effectively with clients, and approach every campaign with ownership, curiosity, and continuous improvement in mind.
 
Required Experience & Skills
 <ul>
<li>Proven experience managing and optimizing LinkedIn Ads campaigns.</li>
<li>Strong analytical skills with the ability to interpret data and create actionable insights.</li>
<li>Experience managing multiple clients or accounts simultaneously.</li>
<li>Proficiency with LinkedIn Campaign Manager and other relevant tools.</li>
<li>Excellent communication and presentation skills.</li>
<li>Strong organizational skills and attention to detail.</li>
</ul>
Ideal Experience & Skills
 <ul>
<li>2+ years of experience in digital advertising, specifically LinkedIn Ads.</li>
<li>Familiarity with other digital advertising platforms is a plus.</li>
<li>Previous client-facing experience managing relationships and expectations.</li>
<li>Bachelor’s degree in Marketing, Business, Communications, or a related field (preferred, not mandatory).</li>
</ul>
What Does a Typical Day Look Like?
 A typical day in this role involves reviewing campaign performance across multiple client accounts, making data-driven adjustments to targeting, bids, and creatives, conducting audience research to refine strategies, preparing detailed performance reports, and communicating updates and recommendations to clients. You will collaborate with internal teams when needed to ensure alignment on objectives, while also staying up to date with new LinkedIn advertising features, tools, and best practices to continuously enhance campaign performance.
 
Key Metrics for Success (KPIs)
 <ul>
<li>Lead generation volume and quality</li>
<li>Cost per lead (CPL) and return on ad spend (ROAS)</li>
<li>Campaign optimization and performance improvement over time</li>
<li>Client satisfaction and retention</li>
<li>On-time delivery of reports and campaign updates</li>
</ul>
Interview Process
 <ul>
<li>Initial Screening – A brief call to understand your experience and skill set.</li>
<li>Technical Interview – Discussion about your LinkedIn Ads knowledge, past performance, and strategic thinking.</li>
<li>Practical Task – A short campaign scenario to assess analytical and optimization skills.</li>
<li>Final Interview – Meeting with leadership or the client for final evaluation.</li>
</ul>
#LI-AG1

LinkedIn Ads Specialist

Position Type: Full-Time, Remote
 Working Hours: U.S. Business Hours (CST)
 About the Role
 Our client builds advanced data intelligence systems that map complex ownership, legal, and property relationships using graph technology. Their platform relies heavily on Neo4j to structure, connect, and analyze highly relational data with precision, speed, and traceability.
 We are seeking a Graph Database Engineer or Full-Stack Engineer with significant Neo4j and Cypher experience. The ideal candidate is strong on the backend, capable of owning the graph data model, optimizing complex queries, and building reliable ingestion and integration pipelines. This role is mission-critical in defining how data is modeled, computed, and delivered across people, properties, documents, transactions, and events.
 Key Responsibilities
 <ul>
<li>Graph Data Modeling & Architecture: Design, refine, and maintain Neo4j graph schemas. Ensure data relationships are accurate, normalized, and high-performing. Implement schema updates aligned with product and technical priorities.</li>
<li>Ownership, Lineage & Relationship Logic: Develop computation logic for ownership changes, temporal updates, and event transitions. Maintain data lineage, transfers, and history through optimized structures.</li>
<li>Cypher Query Engineering: Build, optimize, and troubleshoot Cypher queries for traversal, lineage, analytics, and validation. Use PROFILE/EXPLAIN to diagnose performance issues and refactor queries. Create migration scripts and support large-scale graph operations</li>
<li>Backend & Data Integration (Python or Full Stack): Build backend services and ingestion pipelines (Python preferred; other backend languages acceptable if skilled in Neo4j integration). Integrate Neo4j with APIs, SQL/NoSQL sources, and analytical systems. Collaborate with engineering teams to onboard and structure new data sources</li>
<li>Governance, QA & Data Reliability: Implement validation rules, constraints, QA checks, and auditability. Ensure schema compliance, reproducibility, and clean version control across graph changes</li>
</ul>
Required Skills & Experience
 <ul>
<li>Core Expertise: 3+ years of hands-on experience with graph databases (Neo4j strongly preferred). Deep experience modeling and querying interconnected datasets.</li>
<li>Cypher & Querying: Advanced Cypher skills (path queries, pattern comprehension, aggregations, profiling).</li>
<li>Backend Engineering: Strong backend development experience (Python preferred; Node.js/TypeScript/Java also acceptable). Experience building scalable integrations, ingestion pipelines, or backend services</li>
<li>Data Modeling: Experience with graph normalization, temporal modeling, or event-sourced architectures</li>
<li>Nice to Have: Experience with Dockerized Neo4j, APOC, or automated data pipelines. Full-stack experience (React, TypeScript, or similar)</li>
</ul>
What You’ll Do
 <ul>
<li>Serve as the primary architect for graph structures and data logic</li>
<li>Build scalable backend components driving graph computation and ingestion</li>
<li>Define and optimize complex real-world relationships within the knowledge graph</li>
<li>Contribute to the data foundation of an emerging AI-driven intelligence platform</li>
</ul>
Key Performance Indicators (KPIs)
 <ul>
<li>Query Optimization: 20–30% improvement in Cypher execution time. Efficient profiling and refactoring of complex traversals</li>
<li>Data Model Quality: Zero critical relationship or integrity issues. On-time implementation of schema updates</li>
<li>Pipeline & Backend Reliability: 99%+ ingestion pipeline success rate. Minimal downtime and smooth onboarding of new data sources</li>
<li>Delivery & Velocity: Consistent on-time delivery during sprints. Low defect rate and strong ownership</li>
<li>Data Governance: Validation errors under 1%. Full compliance with constraints, QA rules, and auditability</li>
</ul>
Interview Process
 <ul>
<li>Initial Phone Screen</li>
<li>Technical Interview with Pavago Recruiter</li>
<li>Practical Task (schema design, backend logic, or query optimization)</li>
<li>Final Client Interview</li>
<li>Offer & Background Verification</li>
</ul>
#LI-AG1

Graph Database / Backend Engineer

Join Pavago and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Pavago

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LinkedIn Ads Specialist

Graph Database / Backend Engineer