{"schemaVersion":"jobsearcher.job.v1","id":"4e18acaab7bcaf31c1962c70","url":"https://jobsearcher.com/jobs/4e18acaab7bcaf31c1962c70","canonicalUrl":"https://jobsearcher.com/jobs/4e18acaab7bcaf31c1962c70","title":"Founding Engineer - ML Demand Generation","description":"About Us Deccan AI is a model training and eval startup headquartered in the Bay Area. We are founded by IIT Bombay, IIM Ahmedabad and ex-Google alumni, and work with some of the top AI frontier labs in the world (e.g. Google DeepMind, Snowflake, and many more). We are backed by Prosus Ventures, and our India delivery office is in Hyderabad. Most of our roles are on-site, i.e. Bay Area / Hyderabad.\r\nAbout the Role We are looking for a Founding ML Engineer focused on Demand Generation, someone who can blend data science, machine learning, and growth strategy to drive user acquisition and engagement through intelligent systems. You will build AI-driven pipelines that power lead generation, personalization, and performance marketing, helping scale how we reach, convert, and retain our user base. Think of it as engineering meets growth, where models create measurable impact on demand.\r\nWhat You'll Do Build ML models that optimize lead scoring, conversion prediction, and campaign performance.\r\nAutomate demand generation workflows, from audience segmentation to personalized outreach.\r\nDesign data pipelines for behavioral analytics, targeting, and experimentation.\r\nCollaborate with marketing and product teams to translate growth goals into measurable ML solutions.\r\nExperiment with LLMs, recommendation systems, and generative AI for content and outreach.\r\nEstablish data-driven frameworks for channel optimization and ROI tracking.\r\nWhat You'll Bring 3-10 years of experience in ML engineering, data science, or growth analytics.\r\nStrong command of Python, PyTorch / TensorFlow, and ML pipelines.\r\nProven experience with data-driven growth systems: user modeling, scoring, recommendation, or automation.\r\nUnderstanding of marketing tech stacks (HubSpot, Salesforce, Meta/Google Ads APIs, etc.) is a plus.\r\nA builder's mindset: you move fast, experiment often, and own measurable impact.\r\nCuriosity for how AI can drive business outcomes beyond traditional ML boundaries.\r\nJ-18808-Ljbffr","company":"Getclera","rawCompany":"getclera","city":"Mountain View","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-16T01:29:39.980Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"41-9031.00","title":"Sales Engineers","slug":"sales-engineers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Founding Engineer - ML Demand Generation","description":"About Us Deccan AI is a model training and eval startup headquartered in the Bay Area. We are founded by IIT Bombay, IIM Ahmedabad and ex-Google alumni, and work with some of the top AI frontier labs in the world (e.g. Google DeepMind, Snowflake, and many more). We are backed by Prosus Ventures, and our India delivery office is in Hyderabad. Most of our roles are on-site, i.e. Bay Area / Hyderabad.\r\nAbout the Role We are looking for a Founding ML Engineer focused on Demand Generation, someone who can blend data science, machine learning, and growth strategy to drive user acquisition and engagement through intelligent systems. You will build AI-driven pipelines that power lead generation, personalization, and performance marketing, helping scale how we reach, convert, and retain our user base. Think of it as engineering meets growth, where models create measurable impact on demand.\r\nWhat You'll Do Build ML models that optimize lead scoring, conversion prediction, and campaign performance.\r\nAutomate demand generation workflows, from audience segmentation to personalized outreach.\r\nDesign data pipelines for behavioral analytics, targeting, and experimentation.\r\nCollaborate with marketing and product teams to translate growth goals into measurable ML solutions.\r\nExperiment with LLMs, recommendation systems, and generative AI for content and outreach.\r\nEstablish data-driven frameworks for channel optimization and ROI tracking.\r\nWhat You'll Bring 3-10 years of experience in ML engineering, data science, or growth analytics.\r\nStrong command of Python, PyTorch / TensorFlow, and ML pipelines.\r\nProven experience with data-driven growth systems: user modeling, scoring, recommendation, or automation.\r\nUnderstanding of marketing tech stacks (HubSpot, Salesforce, Meta/Google Ads APIs, etc.) is a plus.\r\nA builder's mindset: you move fast, experiment often, and own measurable impact.\r\nCuriosity for how AI can drive business outcomes beyond traditional ML boundaries.\r\nJ-18808-Ljbffr","datePosted":"2026-07-16T01:29:39.980Z","dateModified":"2026-07-16T01:29:39.980Z","hiringOrganization":{"@type":"Organization","name":"Getclera","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4e18acaab7bcaf31c1962c70"},"url":"https://jobsearcher.com/jobs/4e18acaab7bcaf31c1962c70"}}