Senior Product Manager, AI-native platform
Jobgether
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3,088 open platform roles across 575 companies are on ApplySarthi right now, most of them in Bengaluru (239), Hyderabad (49), Pune (40).
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What platform roles keep asking for: Observability (37%), Python (35%), AWS (31%), Kubernetes (30%), CI/CD (27%), System design (24%), Azure (19%), GCP (18%) — counted across their open postings here.
Product Manager jobs in the United States · Remote Product Manager jobs · CRM jobs · Customer success jobs · Product management jobs · SaaS jobs
Jobgether has 4,635 open roles listed here.
- AI Engineer (Agentic Systems)
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Counted across 14 company job boards, updated as roles open and close.
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Questions you are likely to be asked
- Why do you want to join Jobgether?
- What is your experience with Product management? Tell me one thing you learned the hard way.
- Tell me about a time the data was messy or wrong. What did you do?
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- What would you check first if a model's accuracy dropped after going live?
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Practise the Senior Product Manager, AI-native platform at Jobgether interview free →Accountabilities:: End-to-end product ownership: Lead a strategic area of the platform from discovery and problem definition to product development, launch, and performance evaluation. Take accountability for business outcomes and customer impact, not simply delivery milestones. Customer discovery and research: Maintain close relationships with restaurant operators and marketing professionals through regular conversations. Analyze customer feedback, sales calls, support interactions, CRM records, product analytics, and usage data to identify meaningful needs and opportunities. Product strategy and prioritization: Translate customer insights and business signals into clear product strategies, requirements, and roadmaps. Collaborate with Customer Success, Sales, Marketing, Finance, Partnerships, Engineering, and Data teams to prioritize initiatives based on measurable value and organizational objectives. Rapid prototyping and product development: Transform customer feedback into product concepts, specifications, and functional prototypes that can be tested quickly with customers. Drive iterative development cycles, gathering feedback and refining solutions before full implementation. AI-native product innovation: Design and develop AI-powered product experiences, including intelligent segmentation, automated customer recovery, campaign recommendations, merchant analytics, and agentic capabilities. Help determine how AI-driven intelligence can create value and build customer trust. Agentic development and collaboration: Work directly with AI coding agents and development tools to translate precise specifications into implementation-ready tasks. Review AI-generated outputs, assess technical quality, identify shortcomings, and collaborate with engineers to ensure reliable delivery. Data-driven product experiences: Leverage order, loyalty, customer, and behavioral data across multiple brands to develop actionable insights and improve merchant decision-making. Help transform complex datasets into meaningful product capabilities. Product development process improvement: Contribute to the evolution of internal AI-powered product workflows, tools, templates, agent capabilities, and quality standards. Identify opportunities to improve speed, consistency, and collaboration across the product organization. Requirements: At least 5 years of product management experience , with a proven track record of successfully launching and scaling products used by real customers. Experience in B2B SaaS environments, particularly data-intensive platforms, is highly valued. Hands-on experience with AI-powered development tools and agentic workflows, such as Claude Code, Codex, or comparable solutions. Ability to independently build prototypes, scripts, and workflows using these technologies. Strong customer-centric mindset, with the ability to distinguish individual requests from broader customer needs and identify meaningful patterns through qualitative and quantitative research. Technical fluency, including the ability to understand database schemas, write queries, follow pull requests, and engage confidently with engineers on technical decisions and implementation trade-offs. Excellent written communication and structured thinking skills, with the ability to create clear, detailed product specifications that can guide both human teams and AI agents. Strong strategic judgment and analytical capabilities, with the ability to make evidence-based decisions, evaluate product performance, and connect product initiatives to business outcomes. High ownership and autonomy, with the ability to operate effectively in ambiguous environments, manage competing priorities, and move initiatives forward with limited supervision. Strong collaboration and stakeholder management skills, with the ability to build alignment across technical and non-technical teams. Based in Canada or the United States, with the ability to work remotely within North America. Nice to have: Experience in the restaurant, retail, commerce, or hospitality industries, particularly with POS systems, digital ordering, loyalty platforms, or marketing technology. Previous experience developing and launching AI- or machine-learning-powered features, including recommendation engines, intelligent segmentation, autonomous agents, or conversational interfaces. Experience building two-sided platforms where business customers and end users have distinct needs and expectations. Public contributions to product management discussions through articles, presentations, open-source projects, or other resources exploring the evolution of AI-driven product development. Benefits: Competitive Canadian salary: Annual compensation ranging from CAD $140,000 to $161,000, depending on experience, location, and internal leveling. Equity participation: Opportunity to participate in the company's equity program, with all employees receiving equity. Additional compensation: Potential eligibility for additional compensation and benefits, depending on the applicable package. 100% remote work: Fully remote working environment, with the team operating primarily across Canada and the United States. AI-first culture: Access to advanced AI development tools, including Claude Code, with an unlimited token budget to support experimentation and productivity. Professional autonomy: Significant ownership over product strategy, decision-making, and execution, with opportunities to shape the direction of the platform. Innovation and learning: Opportunity to work with cutting-edge AI technologies, agentic development systems, and evolving product management methodologies. Collaborative environment: Work alongside experienced professionals in a culture that values bold thinking, reliable execution, diverse perspectives, and continuous improvement. Career development: Opportunities for internal growth, increased responsibility, and professional advancement.
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Listed on lever · posted 2026-11-03. ApplySarthi collects openings and links to application pages; the role is advertised by Jobgether, not by us.