Earnin Logo

Earnin

Sr. Growth Marketing Manager, Paid Social

Reposted 23 Days Ago
Be an Early Applicant
In-Office
Mountain View, CA, USA
163K-199K Annually
Senior level
In-Office
Mountain View, CA, USA
163K-199K Annually
Senior level
The Senior Growth Marketing Manager will drive user acquisition through paid social channels, optimize marketing campaigns using data, and collaborate with cross-functional teams for effective product launching and insights reporting.
The summary above was generated by AI
About EarnIn

As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.

We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.

POSITION SUMMARY

As a Senior Growth Marketing Manager of Paid Social, you will play a critical role in driving acquisition by executing, testing, and optimizing marketing campaigns across paid social (Meta, TikTok, Reddit, Snap, etc.) and programmatic channels. You will work closely with cross-functional teams, including Analytics, Creative, and Product, to develop comprehensive tests and accelerate growth. You will also own and evolve our paid social AI workflows and insight reporting. The ideal candidate will have a strong understanding of mobile attribution and incrementality testing, and a track record of building robust experimentation roadmaps.

The US base salary range for this full-time position is $162,849-$199,037, plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View that requires in-office work 2 days a week.

WHAT YOU'LL DO

  • Optimize marketing through data: Leverage data and insights to continuously refine campaigns, test new channels, and optimize creative performance, ensuring marketing strategies effectively drive incremental growth.
  • Lead experimentation and measurement: Develop, prioritize, and execute initiatives to drive new user acquisition, with a focus on creating structured measurement frameworks. 
  • Plan and manage new product testing: Oversee campaign execution, forecasts, and growth experiments in collaboration with cross-functional teams to meet efficiency and conversion targets for new product launches.
  • Collaborate cross-functionally: Work closely with Analytics, Creative, and Product teams to ensure marketing efforts align with business goals and objectives.
  • Drive creative testing and insights: Partner with Creative to develop and test ad concepts, maintain a structured creative learning agenda, and scale winning formats across channels.
  • Accelerate agentic workflows: Iterate on AI workflows to surface performance insights faster. Experience with creating agents/sub-agents is a strong plus.

WHAT WE'RE LOOKING FOR

  • 4+ years of experience in growth marketing, with 7+ years of hands-on experience in B2C growth marketing for a mobile-first company.
  • Proven experience in executing and optimizing campaigns across Paid Social and Programmatic channels.
  • Strong analytical skills (incrementality testing, MMM, marginal CAC, etc.) with the ability to interpret data and make informed decisions to improve performance.
  • Deep experience with mobile attribution and MMPs.
  • Ability to balance strategic thinking with hands-on execution.
  • Collaborative mindset and ability to work across teams to align efforts and achieve shared goals.
  • Adept at presenting performance insights and strategies to cross-functional teams and senior leadership.
  • A proactive, self-driven attitude to constantly test ideas and build new processes.
  • A genuine interest in helping build a financial system that works for everyone.

#LI-Hybrid

At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant. 

EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.

HQ

Earnin Palo Alto, California, USA Office

260 Sheridan Ave., Palo Alto, CA, United States, 94306

Similar Jobs

18 Minutes Ago
In-Office
San Jose, CA, USA
119K-202K Annually
Mid level
119K-202K Annually
Mid level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The Armed Executive Protection Agent is responsible for providing protective services to high-profile clients, conducting threat assessments, and ensuring client safety in various environments.
Top Skills: AedCprFirst AidTactical Communications
18 Minutes Ago
In-Office
San Jose, CA, USA
168K-336K Annually
Senior level
168K-336K Annually
Senior level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Design and build advanced verification environments using UVM/SystemVerilog and GenAI/agentic tools to improve verification efficiency and quality. Develop test plans, drive coverage closure, and verify SoC and CPU emulation platforms using ASIC simulation tools and scripting to achieve signoff and schedule left-shift.
Top Skills: Agentic McpAsic Simulation ToolsC++Cpu EmulationGenaiScriptingSocSystemcSystemverilogUvm
19 Minutes Ago
In-Office
San Jose, CA, USA
200K-351K Annually
Senior level
200K-351K Annually
Senior level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Provide commercial legal advice to Business Units and Sales, draft and negotiate complex domestic and international commercial agreements, support new product initiatives, collaborate with cross-functional teams on operational and compliance matters, manage quality and warranty issues, and deliver legal training to internal partners and leadership.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account