ApplySarthi

Lead Product Manager, Agentic Personalization

Jobgether

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67 open personalization roles across 22 companies are on ApplySarthi right now.

What personalization roles keep asking for: Machine learning (45%), Python (40%), SQL (22%), Java (21%), C++ (19%), Deep learning (16%), LLMs (16%) — counted across their open postings here.

Product Manager jobs in the United States · Remote Product Manager jobs · Customer success jobs · Machine learning jobs · Product management jobs · SaaS jobs

Jobgether has 3,790 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for personalization roles keep coming back to Machine learning, Python, SQL, Java. Practise those questions before you sit with Jobgether.

Questions you are likely to be asked

  1. Why do you want to join Jobgether?
  2. What is your experience with Customer success? Tell me one thing you learned the hard way.
  3. How would you improve a product you use every day?
  4. Tell me about a product decision you made with incomplete data.
  5. How do you decide what goes into the next release and what waits?

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Accountabilities: Define the product vision, strategy, roadmap, and sequencing for an AI-powered personalization platform, from initial concept through product-market fit and scale. Conduct deep customer discovery with enterprise product and growth teams to understand current personalization workflows, pain points, trust requirements, and opportunities for automation. Translate customer insights into a focused roadmap tied to measurable revenue and business milestones. Design the agent experience, determining which activities can be handled autonomously—such as audience creation, content variants, experimentation, and traffic allocation—and which require human approval. Develop feedback and learning loops that progressively improve agent performance, reliability, and customer trust. Partner closely with engineering and design to make informed product decisions around real-time data, infrastructure, caching, experimentation, and other technical trade-offs. Co-own go-to-market activities, including pipeline development, customer conversations, competitive positioning, and product messaging. Work with customer success to create implementation playbooks and ensure customers can successfully adopt and scale the product. Collaborate across engineering, design, sales, customer success, and executive leadership to create clarity and maintain execution speed in an ambiguous environment. Requirements Demonstrated zero-to-one product management experience, with a track record of taking products from an initial concept to meaningful revenue or adoption, ideally within B2B SaaS. Strong technical depth and the ability to evaluate architecture and infrastructure trade-offs at the product level, including real-time versus batch processing and caching strategies. Strong commercial judgment, with the ability to connect product roadmaps to pipeline generation, conversion, expansion, and revenue targets. Experience working effectively in small, autonomous teams where priorities evolve quickly and product leaders are expected to take significant ownership. Strong customer discovery and product-market-fit skills, with the ability to turn ambiguous customer problems into clear product opportunities. Experience working with AI, machine learning, automation, or agent-based products is highly valuable. Exceptional cross-functional leadership skills and the ability to build trust with engineers, designers, sales teams, customer success, and executives. Excellent communication, strategic thinking, and decision-making skills, particularly when balancing automation with human oversight. Intellectual curiosity and enthusiasm for emerging AI technologies and their practical application to enterprise workflows. A hands-on, highly adaptable approach and a willingness to use AI extensively to accelerate product discovery, execution, and decision-making. Benefits Competitive annual salary of $240,000–$320,000 USD , with compensation designed to be location-independent under a remote-first model. Meaningful equity compensation. Fully remote work environment across North America. High-visibility opportunity to work directly with founders and executive leadership. Significant ownership over the strategy, product definition, sequencing, and go-to-market for a major new product initiative. Opportunity to build a category-defining AI product from the ground up. High-autonomy environment with small, fast-moving teams and tight product development cycles. Exposure to cutting-edge applications of AI agents, personalization, experimentation, and real-time customer data.

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Listed on lever · posted 2026-10-07. ApplySarthi collects openings and links to application pages; the role is advertised by Jobgether, not by us.