AI Product Manager
As an AI Product Manager at Air Apps, you will define and drive the AI product roadmap to align with business objectives and user needs. You will collaborate with cross-functional teams such as engineering, design, and marketing to develop and launch AI-powered features. Your role includes conducting market research and analyzing user feedback to identify AI integration opportunities, working closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact, defining key performance indicators (KPIs) to measure success and iterating based on data-driven insights, staying up to date with AI trends and emerging technologies to keep products competitive, and ensuring ethical AI usage and compliance with data privacy regulations.
Product Manager, Agent Memory
Lead development of Agent Memory, the system that enables AI agents to remember and personalize interactions across conversations, transforming one-off exchanges into continuous relationships that drive measurable business outcomes at scale. Balance competing stakeholder needs including end users expecting personalization, operations teams requiring compliance, and developers needing flexible integration patterns. Define how AI agents should remember, addressing session continuity, long-term relationships, intelligent consolidation, context retrieval, and privacy-preserving personalization. Collaborate closely with engineering teams on distributed systems, ML teams on retrieval and embedding technologies, and infrastructure teams on scalable storage solutions. Serve as a trusted and strategic advisor to customers in partnership with sales, go-to-market, and forward-deployed teams. Lead the product through all stages from concept to execution in collaboration with cross-functional partners.
Product Manager, Intelligence
Build the Intelligence Layer for Enterprise AI Agents by leading the development of Agent Intelligence, the decisioning system that enables AI agents to take optimal actions based on business context, user intent, and predicted outcomes. Transform reactive support into proactive, value-driving interactions at scale. Balance competing stakeholder needs among end users, operations teams, and developers. Define the architecture for AI agent decisioning, including real-time next-best-action selection and long-term outcome optimization, tackling problems such as contextual decisioning, multi-objective optimization, and interpretable AI reasoning. Collaborate with engineering on decisioning systems, ML teams on predictive models and reinforcement learning, and data teams on analytics and experimentation frameworks. Serve as a trusted and strategic advisor to customers in partnership with sales, go-to-market, and forward-deployed teams. Lead the product through all stages from concept to execution in close collaboration with cross-functional partners.
Tech Lead Manager, Billing and Insights
Partner with executive sponsors and end users to identify high-impact use cases and turn them into measurable business outcomes on Glean. Lead strategic reviews and advise customers on their AI roadmap, ensuring they get the most value from Gleans platform. Translate business needs into clear problem statements, success metrics, and practical AI solutions; collaborate with Product and R&D to shape priorities. Conduct discovery workshops, scope pilots, and guide rollouts, driving breadth and depth of adoption of the Glean platform. Design and build AI agents with and for customers, including rethinking and redesigning underlying business processes to maximize impact and usability. Proactively identify expansion opportunities and drive engagement across teams and functions.
Staff Product Manager, AI/ML
The Staff Product Manager is responsible for inventing, designing, and implementing novel solutions for the AI landscape within the Firsthand platform. This includes conceptualizing and designing new features using a data-informed approach and establishing clear metrics for success. The role also involves navigating ambiguity and change to collaboratively drive alignment with cross-functional teammates, working with enterprise customers and internal stakeholders to understand their needs and incorporate those insights into product decisions. Additionally, the manager must communicate product vision, strategy, and roadmap to key stakeholders, including senior leadership, to drive alignment and decision-making, and stay informed of industry trends, emerging technologies, and best practices to drive continuous improvement and innovation.
Product Manager
The Product Manager is responsible for driving the product strategy and execution for AI agents that automate enterprise support and operations workflows, aiming to increase resolution rates from 60% to 98%. They own the development of self-improving agent platforms, multi-party real-time orchestration across voice, chat, and email, and no-code/low-code agent configuration tools including policy engines and scenario builders. They lead the expansion of products into regulated industries such as healthcare and financial services, ensuring compliance and integration with enterprise systems like Zendesk and Salesforce. The role involves defining roadmaps and priorities, shipping features that improve automation resolution rates, working closely with engineering on system architecture and AI model integration, collaborating cross-functionally with AI/ML engineers, design, sales, and customer success teams, and partnering with Fortune 100 customers to understand and address remaining challenges in automation. The Product Manager also focuses on technical product leadership, including sub-500ms latency requirements, API design, and developer experience for headless agents and integrations.
Group Product Manager - Noida
Own the platform portfolio including Agentic AI and define and execute the product roadmap for Agentic AI aligning with company strategy and customer needs. Partner with Engineering and Data teams to scale services powering large-scale AI workloads. Translate complex data and usage patterns into clear business insights and KPIs for customers and internal stakeholders. Coach and mentor the team and own their impact. Work closely with GTM and customer teams to drive customer value.
Senior AI Product Manager, Product SKUs
Lead the Product SKUs vertical by transforming custom field work into a robust, versioned, and standardized product library. Convert proven field implementations into repeatable SKUs and manage their lifecycle to ensure high reuse rather than a sprawling catalog of custom fixes. Define the SKU taxonomy by categorizing products based on use-case intent, constraints, and required outputs rather than just technology labels. Build evaluation harnesses including datasets, labeling standards, metrics, thresholds, and regression suites to establish the definition of done for each SKU. Enable sales teams by creating documentation and reference implementations to help Business Development recommend the right solutions for specific customer constraints. Oversee the versioning, deprecation, and discipline to avoid proliferating SKUs with minor differentiation.
Senior AI Product Manager, Customer Engagement
The Senior AI Product Manager is responsible for leading the discovery process to produce a Problem Brief for every customer engagement, including defining the job-to-be-done, constraints, success criteria, and reliability expectations. They define Evaluation Contracts that specify data, metrics, and thresholds for success before any building begins. The role includes partnering with AI Engineers to determine the appropriate technical approach such as Prompt Engineering, RAG, or Fine-tuning by debating trade-offs based on data, cost, and latency. The manager also identifies patterns in customer needs to surface platform gaps early and converts field learnings into engineering requirements. They focus on reducing ambiguity to enable AI engineers to execute immediately without requirement churn. Additionally, they synthesize market patterns across multiple customer deployments to identify strategic platform gaps and propose architectural improvements to the core platform based on field evidence.
Global Mobility and Benefits Specialist
The AI Outcomes Manager will partner with executive sponsors and end users to identify high-impact use cases and turn them into measurable business outcomes on Glean. They will lead strategic reviews and advise customers on their AI roadmap to maximize value from Glean's platform. The role involves translating business needs into clear problem statements, success metrics, and practical AI solutions, while collaborating with Product and R&D to shape priorities. Responsibilities include conducting discovery workshops, scoping pilots, guiding rollouts to drive adoption, designing and building AI agents with and for customers, and rethinking and redesigning underlying business processes to enhance impact and usability. The manager will also proactively identify expansion opportunities and drive engagement across teams and functions.
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