Performance Marketing Specialist

Overview

Own and scale paid acquisition across paid search, paid social and emerging AI-native advertising channels, with a focus on qualified pipeline, acquisition efficiency and revenue impact, while building AI-assisted and automated marketing workflows.

What you'll do

• Own end-to-end strategy, execution and optimization of Google and Bing Ads campaigns targeting legal, legal ops and procurement buyers, including account structure, keyword research, bidding, search-term optimization, audience targeting and budget allocation.
• Drive high-intent traffic and qualified demo requests, improving cost per qualified opportunity and pipeline efficiency.
• Identify competitor, category and high-intent search opportunities to capture demand and improve market coverage.
• Build, manage and scale paid social campaigns, primarily on LinkedIn and other relevant platforms, including niche B2B persona targeting and full-funnel campaign architecture.
• Partner with Content and Product Marketing to test messaging, creatives and offers.
• Optimize paid social campaigns based on conversion quality, qualified pipeline and revenue contribution.
• Experiment with ChatGPT ads and other emerging AI-native advertising opportunities through structured tests with clear hypotheses, success metrics and evaluation periods.
• Evaluate channel effectiveness, audience quality and potential incremental pipeline to decide where further investment makes sense.
• Own budget planning, allocation, pacing and performance monitoring across paid channels, reallocating spend based on pipeline contribution, acquisition costs and business priorities.
• Identify repetitive, manual marketing processes that can be improved through AI and automation.
• Build AI-assisted workflows and automated systems for campaign reporting, performance monitoring, keyword research, ad copy testing, data analysis and campaign optimization.
• Experiment with AI agents, LLMs, APIs and no-code or low-code automation tools; automate recurring reports, anomaly detection and performance alerts.
• Develop a structured experimentation roadmap across keywords, bidding, ad copy, creatives, audiences and landing pages, and document learnings into repeatable playbooks.
• Maintain reliable conversion tracking, attribution and campaign measurement in collaboration with Marketing Operations.
• Build clear reporting on spend, conversions, qualified opportunities, pipeline and ROI, and work with Content, Product Marketing, Sales and Marketing Operations to improve messaging, lead quality and funnel performance.

What you'll need

• 3–5 years of hands-on performance marketing experience, preferably in B2B SaaS or another complex B2B environment.
• Proven experience managing Google and Bing Ads, including campaign architecture, keyword strategy, bidding and conversion tracking.
• Demonstrated ability to run and optimize LinkedIn Ads and other relevant paid social campaigns targeting specific B2B audiences.
• Ability to connect campaign performance to qualified pipeline, acquisition costs and revenue, and make informed budget decisions.
• Practical experience using tools such as Claude, ChatGPT or similar platforms to improve research, analysis, content generation and campaign execution.
• Demonstrated interest in building automated workflows and reducing manual work.
• Comfortable testing new approaches, learning from unsuccessful experiments and scaling what works.
• Comfortable working with spreadsheets, advertising dashboards, attribution data and performance reports to derive actionable insights.
• Able to independently take initiatives from idea to implementation, prioritize effectively and deliver measurable outcomes in a fast-moving environment.
• Comfortable operating with ambiguity, building processes from scratch and continuously evolving how marketing work gets done.

Nice to have

• Experience with AI-native advertising platforms or emerging paid acquisition channels.
• Familiarity with marketing automation, workflow orchestration, APIs and data integrations.
• Experience with tools such as n8n, Make, Zapier or similar automation platforms.
• Familiarity with HubSpot or other marketing automation and CRM platforms.
• Experience in enterprise SaaS, legal technology, or marketing to specialized B2B audiences.
• Experience with AI agents, APIs or no-code/low-code automation tools.

Details

• Location: SpotDraft HQ, Bengaluru.