Manage and optimize B2B paid social campaigns across LinkedIn, Meta, and Reddit. Responsibilities include campaign execution, budget and bid management, audience and creative testing, conversion tracking, performance reporting, and strategic recommendations supporting demand generation and pipeline goals. The role collaborates with Demand Generation, Creative, and Web teams and requires independent stakeholder communication. Paid search is explicitly excluded.
We are looking for an experienced, hands-on Freelance Senior Paid Social Specialist to manage and optimise paid social campaigns for an established B2B technology company.
You will work closely with the Demand Generation team to improve campaign performance across the customer journey, with a strong focus on driving pipeline. This role combines hands-on campaign execution and optimisation with strategic recommendations.
Responsibilities- Manage and optimise paid social campaigns across LinkedIn, Meta/Facebook and Reddit.
- Monitor campaign performance, budgets, pacing and bid strategies.
- Build and launch campaigns using creative and copy supplied by internal teams.
- Continuously test and optimise audiences, targeting, placements and creative.
- Identify opportunities to improve campaign efficiency and performance.
- Support conversion tracking, measurement and reporting.
- Recommend paid social strategies that support broader demand generation and pipeline goals.
- Collaborate with internal Demand Generation, Creative and Web teams.
- Proactively share platform trends, insights and optimisation opportunities.
Requirements
- Strong hands-on experience in B2B SaaS or B2B technology paid social.
- Deep expertise in LinkedIn Ads and Meta Ads.
- Experience managing meaningful paid media budgets.
- Strong understanding of B2B demand generation and full-funnel marketing.
- Strong analytical and campaign optimisation skills.
- Ability to work independently while communicating proactively with stakeholders.
- Experience with Reddit Ads is highly desirable.
- Experience with 6sense, StackAdapt, programmatic display, CTV or podcast advertising is an advantage.
This is a hands-on paid social roleand does not include paid search responsibilities.
Similar Jobs
Cloud • Security • Software • Cybersecurity • Automation
Build GitLab code security capabilities spanning dependency analysis, SBOM and lockfile parsing, vulnerability detection, AI-assisted analyzers, and automated dependency remediation. Design evaluation harnesses, package analyzers for CI and AI workflows, improve security report accuracy, and extend ecosystem coverage. Own initiatives from design through delivery, mentor engineers, collaborate across product and engineering teams, document systems, and participate in on-call support.
Top Skills:
AIAstsBundlerCargoCi/CdCweDockerGoLlmMavenNpmOwasp Top 10PipPythonRubyRustSbom
Cloud • Security • Software • Cybersecurity • Automation
Leads the architecture and delivery of GitLab’s static analysis engine and evaluation tooling. Owns program modeling, vulnerability detection quality, SAST rules, AI-assisted development guardrails, and benchmark validation. Sets technical direction, mentors engineers, coordinates complex initiatives, contributes to research and open source, and participates in on-call rotations. The role requires deep program analysis, application security, systems programming, performance optimization, containerized CI/CD, and experience building trustworthy LLM tooling.
Top Skills:
Ai AgentsAstsCall GraphsCi/CdControl-Flow GraphsCweData-Flow AnalysisDockerFuzzingGoIntermediate RepresentationsLlm ToolingMutation TestingOwasp Top 10RubyRustSastSsaStatic AnalysisTaint AnalysisType Inference
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead engineering for AI voice-agent experiences used by drivers. Define product and technical direction, build full-stack services, design agent coordination and memory systems, establish APIs and service boundaries, and evaluate AI behavior in production. Mentor engineers, document architectural tradeoffs, and introduce AI-assisted engineering practices using tools such as Codex, Claude Code, and Cursor.
Top Skills:
Ai AgentsClaude CodeCodexCursorGoLlmsPythonRag PipelinesTypescriptVector Databases
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
