Performance Marketing Lead
Weekday AI
Performance Marketing Lead
Weekday AI
Proactive software engineer recruitment via referrals
Weekday AI · Whiteman Air Force Base, United States · Full-time · Posted 2026-08-12
Salary: INR 550,000–6,000,000
Workplace: on_site
Department: Weekday's Client via platform
𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀
𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟱𝟱𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟲𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟱.𝟱-𝟲𝟬 𝗟𝗣𝗔)
Experience: 5+ yrs
Location: United States, REMOTE(UNITED STATES), USA
Job Type: Full-time
We are looking for a hands-on Performance Marketing Lead to own paid customer acquisition, campaign optimization, experimentation, and performance analytics across multiple digital advertising channels.
This is an execution-focused role for a highly analytical marketer who enjoys working directly in campaigns, testing new strategies, analyzing performance data, and turning insights into measurable business results. You will manage substantial advertising budgets, improve acquisition efficiency, and work closely with Creative, Product, Engineering, Analytics, and leadership teams.
The ideal candidate combines a scientific approach to marketing experimentation with strong execution discipline. You should be comfortable forming hypotheses, running structured tests, measuring outcomes, documenting learnings, and quickly applying successful strategies to improve growth.
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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.
Explore more opportunities at Weekday AI