Clera is a talent-matching platform that replaces traditional job applications by connecting candidates and hiring teams through curated introductions.
ABOUT THE ROLE A well-funded Series A AI/ML platform company is looking for a Founding Engineer focused on ML-driven demand generation to join their on-site team in Mountain View, CA. This is a high-impact, early-stage role where you will blend data science, machine learning, and growth strategy to build intelligent systems that power lead generation, personalization, and performance marketing — directly shaping acquisition, conversion, and retention outcomes. WHAT YOU'LL DO - Build and deploy ML models for lead scoring, conversion prediction, and campaign performance optimization. - Automate demand generation workflows spanning audience segmentation and personalized outreach. - Design and maintain production data pipelines for behavioral analytics, targeting, and experimentation. - Partner closely with marketing and product teams to translate growth goals into measurable ML solutions. - Experiment with LLMs, recommendation systems, and generative AI for content personalization and outreach. - Establish data-driven frameworks for channel optimization and ROI tracking. WHAT WE'RE LOOKING FOR Must-haves: - 3–10 years of experience in ML engineering, data science, or growth analytics. - Strong Python proficiency and hands-on experience with PyTorch or TensorFlow and end-to-end ML pipelines. - Proven track record building ML models for lead scoring, conversion prediction, or demand generation outcomes. - Experience designing production data pipelines for behavioral analytics, audience segmentation, and experimentation. - History of collaborating with marketing and product teams to deliver measurable growth outcomes. - Experience with data-driven growth systems such as user modeling, scoring, recommendations, or automation. Nice to have: - Familiarity with marketing tech stacks and ad platforms (e.g., HubSpot, Salesforce, Meta/Google Ads APIs). - Experimentation with LLMs, recommender systems, or generative AI for content and outreach. The right mindset: You move fast, iterate quickly, own measurable impact, and are genuinely curious about how AI techniques can drive real business outcomes. COMPENSATION & BENEFITS - Salary: $220,000 – $300,000 USD annually - Early-stage equity opportunity - On-site role in Mountain View, CA Visa sponsorship is not available for this role. LOCATION This is a fully on-site position based in Mountain View, California. Candidates must be available to work on-site; remote or visa-requiring applicants will not be considered.