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Weekday AI

Proactive software engineer recruitment via referrals

Performance Marketing Lead

Performance & Paid MarketingConfirmed live in the last 24 hours
Full-time₹550k - ₹6M

About the Job

Requirements

  • At least 5 years of experience managing paid digital advertising campaigns at scale.
  • A proven track record of delivering measurable business outcomes through paid acquisition, including revenue growth, customer acquisition cost reduction, return on ad spend improvement, and conversion growth.
  • Strong hands-on expertise with Google Ads, including Search, Display, Shopping, and Performance Max.
  • Experience managing campaigns on at least one additional platform such as Microsoft Ads, TikTok, YouTube, or Meta.
  • Strong understanding of paid media strategy, audience targeting, bidding, keyword optimization, budget management, and campaign structures.
  • Hands-on experience setting up and maintaining tracking through Google Analytics 4 and Google Tag Manager.
  • Proven experience with A/B testing, structured experimentation, landing page optimization, and funnel analysis.
  • Strong analytical and quantitative abilities, with evidence-based decision-making.
  • Ability to translate complex marketing data into clear business insights and actionable recommendations.
  • Highly organized and meticulous about documentation, measurement, timelines, and processes.
  • Ability to work independently in a remote environment with minimal supervision.
  • Strong ownership mindset and accountability for measurable outcomes.
  • Excellent written and verbal communication skills and ability to collaborate with technical and non-technical stakeholders.

Responsibilities

  • Build, launch, manage, and optimize campaigns across Google Ads, Microsoft Ads, YouTube, TikTok, Meta, and other relevant platforms.
  • Manage Google Ads campaigns across Search, Display, Shopping, and Performance Max.
  • Monitor campaign performance daily, including click-through rate, conversion rate, cost per click, customer acquisition cost, return on ad spend, and cost per registration.
  • Manage advertising budgets to maximize return on investment by scaling high-performing campaigns and optimizing or pausing underperforming campaigns.
  • Refine audience targeting, keywords, bidding strategies, campaign structures, and messaging based on performance data.
  • Provide weekly performance reports with actionable insights and recommendations.
  • Design and execute structured marketing experiments across targeting, keywords, bidding, creative, landing pages, offers, and campaign strategies.
  • Document experiment hypotheses, methodology, results, learnings, and measurable business impact.
  • Conduct regular performance reviews to identify winning strategies and define future testing priorities.
  • Scale successful experiments into ongoing campaigns while systematically eliminating underperforming approaches.
  • Maintain a continuous testing and optimization roadmap focused on improving acquisition efficiency and revenue.
  • Analyze advertising performance at the creative and asset level to identify winning concepts and detect creative fatigue.
  • Provide data-driven feedback to creative teams on messaging, hooks, offers, formats, and concepts that are driving results.
  • Partner with creative strategists to develop and test new advertising assets.
  • Collaborate with Product and Design teams on landing page optimization and A/B testing.
  • Analyze the complete customer acquisition funnel, from ad click and landing page engagement through registration and paid conversion.
  • Identify conversion drop-offs and recommend improvements across the customer journey.
  • Work with Engineering teams to improve registration flows, tracking, attribution, and conversion performance.
  • Share actionable funnel insights with Product, Engineering, Sales, and other relevant teams.
  • Collaborate cross-functionally to solve growth challenges and improve customer acquisition efficiency.
  • Set up and maintain accurate marketing tracking using Google Analytics 4, Google Tag Manager, and native advertising platform reporting.
  • Monitor key performance indicators including impressions, clicks, conversions, click-through rate, cost per click, customer acquisition cost, return on ad spend, and cost per registration.
  • Ensure data accuracy and integrity across advertising and analytics platforms.
  • Troubleshoot tracking, attribution, and measurement issues.
  • Prepare detailed weekly reports covering revenue, channel performance, return on ad spend, customer acquisition cost trends, conversion metrics, and optimization opportunities.
  • Present data-backed recommendations clearly to leadership and cross-functional stakeholders.

About the Company

Weekday AI

Proactive software engineer recruitment via referrals

Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.

Company size
201-500
Company stage
Seed
Total funding
$2.3M
Headquarters
Bengaluru, India
Founded
2021

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