EarnIn is seeking an AI Builder to make AI-native operations a core capability. The successful candidate will build agents, automations, and integrations that power how EarnIn hires, develops, and scales its people and operations.
\nThe Mountain View base salary range for this full-time position is $189,000-$231,000, plus equity and benefits. This is a hybrid position requiring in-office work 2 days a week.
\nResponsibilities:
\nRequirements:
\nThe Site Operations team at EarnIn ensures seamless operational efficiency, reliability, and user lifecycle management across Customer Care systems and adjacent tooling through automation, proactive support, and structured processes. As a SiteOps Specialist, you'll sit at the intersection of CX Operations, IT, Security, and Engineering, administering key platforms, driving intake and incident workflows, and maintaining audit/compliance rigor that keeps our tools secure and our teams productive.
\nWe are seeking a Staff Analyst to partner closely with the CMO and product leadership to drive user growth and engagement. This leader will shape and drive the analytics strategy, mentor and develop the team, and collaborate cross-functionally with Marketing, Product, and Engineering to translate business needs into actionable insights.
\nThe primary goal of this position is to architect and build agentic workflows that transform how analytics operates: design AI-driven pipelines that work autonomously, surface insights proactively, and scale decision-making across the organization. You bring both the strategic vision to see where automation unlocks the most value, and the hands-on depth to get into the data and build it yourself.
\nThe Mountain View base salary range for this full-time position is $215,000 to $263,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View, requiring in-office work 2 days a week.
\nResponsibilities:
\nRequirements:
\nEarnIn is seeking a Head of Machine Learning, India to lead the development and deployment of machine learning systems in India.
\nThe ideal candidate will have deep experience deploying ML at scale, with a strong emphasis on translating research into robust production systems.
\nResponsibilities:
\nRequirements:
\nWe are seeking a self-starter and results-driven lifecycle marketer to lead our efforts to drive adoption and retention of EarnIn's core products.
\nIn this highly visible role, you'll collaborate with product, product marketing, analytics, and our creative partners. Together, you will design and execute data-driven marketing programs that leverage owned channels (email, SMS, push, and in-app messaging) to drive activation, retention, and winback metrics.
\nResponsibilities:
\nRequirements:
\nAs 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.
\nWe’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.
\nWe are seeking experienced, passionate, and resourceful front-end Staff developers to join our Product Engineering teams. As a developer, you will collaborate cross-functionally with teams to design and develop our applications. Being customer-facing, our Engineering teams play a crucial role in shaping the customer’s impression of our company.
\nThis position will ideally be a hybrid role from our Bengaluru office, as part of our expanding site presence. EarnIn offers our employees excellent benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to travel to our Mountain View HQ. Our salary ranges are determined by role, level, and location.
\nWe are seeking a motivated iOS Engineering Intern to join our 12-week internship program. In this role, you will work on real-world mobile features that directly impact our community members and contribute to production iOS applications. You will collaborate closely with iOS, backend, product, and design teams to build intuitive, performant, and reliable mobile experiences.
\nResponsibilities:
\nWhat you'll learn:
\nRequirements:
\nWe seek an experienced Senior Full Stack Engineer to join our Early Bets initiatives team at EarnIn. The ideal candidate will have experience building 0-to-1 products end-to-end and demonstrates a strong ability to design and implement scalable architectures across the full stack.
\nThe base salary range for this full-time position is $210,000 – $257,000 plus equity and benefits.
\nResponsibilities:
\nRequirements:
\nAs Senior Counsel, Product (Employee Ecosystem), you will play a critical role in enabling and scaling EarnIn's growing suite of employee-centric products by providing strategic, practical legal guidance across product development, operations, and regulatory compliance.
\nYou will partner closely with product, engineering, compliance, operations, and senior legal leaders to develop new payroll and job applicant-related offerings, enhance existing features, and manage regulatory risk while supporting business innovation.
\nAs 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.
\nWe'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.
\nAs a Fintech company where customer experience is central to our success, we're looking for a Product Operations Specialist to bridge the gap between our Cash Out (EWA) product and our customer care operations. Working closely with product managers, you'll become the resident expert on product mechanics and the end-to-end customer journey,surfacing insights, driving readiness, and ensuring community members have a seamless experience from product launch through ongoing support.
\nThe ideal candidate brings strong operational instincts, a data-driven mindset, and genuine empathy for customers. They thrive in fast-moving environments, partner effectively across functions, and are excited to leverage AI to inform and automate critical workflows. This is a Mountain View-based position requiring in-office work 2 days a week. The Mountain View base salary range for this full-time position is $106,650-$130,350, plus equity and benefits. Our salary ranges are determined by role, level, and location.
\n#LI-Hybrid
\nAt 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.
\nEarnIn 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.
","enriched_at":1781789037670}],"category_normalised":[{"category":"engineering","count":32},{"category":"marketing","count":4},{"category":"it","count":3},{"category":"operations","count":2},{"category":"legal","count":1},{"category":"hr","count":1},{"category":"finance","count":1}],"velocity":{"weeks":[{"week_start":"2026-04-13","count":7},{"week_start":"2026-05-04","count":2},{"week_start":"2026-05-11","count":8},{"week_start":"2026-05-18","count":3},{"week_start":"2026-05-25","count":3},{"week_start":"2026-06-01","count":3},{"week_start":"2026-06-08","count":2},{"week_start":"2026-06-15","count":19}],"trend":"accelerating","wow_pct":850},"momentum":{"recent_14d":21,"prior_14d":7,"growth_pct":200,"classification":"accelerating"},"salary_vs_industry":{"company_median":215750,"industry_median":null,"percentile":null,"sample_size":18,"by_region":[{"region":"United States","company_median":230500,"industry_median":null,"sample":13},{"region":"Remote","company_median":158000,"industry_median":null,"sample":4}],"transparency_pct":40,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":47,"industry_total":47,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.281,"skill_weighted_score":0.296,"top_exposed_titles":[{"title":"Senior Software Engineer","count":3,"score":0.288},{"title":"Staff Software Engineer","count":2,"score":0.288},{"title":"Site Reliability Engineer II","count":2,"score":0.288},{"title":"Senior Lifecycle Marketing Manager","count":2,"score":0.32},{"title":"Senior Full Stack Engineer","count":2,"score":0.288}],"top_exposed_skills":[{"skill":"Tableau","count":3,"score":0.301},{"skill":"Amplitude","count":3,"score":0.301},{"skill":"Periscope","count":3,"score":0.301},{"skill":"Terraform","count":4,"score":0.299},{"skill":"Agentic Workflows","count":3,"score":0.296},{"skill":"AWS","count":9,"score":0.295},{"skill":"Databricks","count":3,"score":0.295},{"skill":"GitOps","count":4,"score":0.294},{"skill":"HTML","count":7,"score":0.293},{"skill":"CSS","count":7,"score":0.293}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":19,"share_pct":40.4},{"region":"India","count":10,"share_pct":21.3},{"region":"Latin America","count":10,"share_pct":21.3},{"region":"Remote","count":4,"share_pct":8.5},{"region":"Canada","count":3,"share_pct":6.4},{"region":"APAC","count":1,"share_pct":2.1}],"emerging":[{"region":"United States","recent_30d":13,"prior_30d":2,"growth_pct":550},{"region":"Latin America","recent_30d":7,"prior_30d":3,"growth_pct":133},{"region":"Remote","recent_30d":3,"prior_30d":1,"growth_pct":200}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":1,"exec_prior_90d_avg":0.3,"exec_growth_pct":233,"notable_exec_hires":[{"title":"Head of Machine Learning, India","location":"Bengaluru, India","posted_at":"2026-06-18"}]},"posting_dynamics":{"median_days_open":8,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":59}}}}