Lead / Senior Product Manager Analytics, Evals & Conversational BI (Agentic Studio)
The Lead/Senior Product Manager is responsible for defining and executing the Analytics/Evals/Governance roadmap with clear sequencing and measurable adoption targets. They must partner deeply with Data Science to productize evaluation methodology, including scoring, calibration, prevention of gaming, and tracking drift. They collaborate with Engineering and Observability teams to standardize telemetry and make it usable in product. They drive a cohesive Agentic Studio UX across Build, Operate, and Improve workflows, including dashboards, drill-downs, investigation flows, alerts, and remediation actions. They establish objective success metrics and instrument them end-to-end for data correctness, timeliness, reliability, and customer impact. The role involves working with Delivery/CS and enterprise partners to ensure analytics is usable for real operational processes such as incident response, change management, governance reviews, and quarterly business reviews.
Product Manager — Summer Intern
Contribute to internal research and academic collaborations by exploring and validating new ideas that may influence future publications, open-source artifacts, and product directions. Develop and evaluate new methods for data development for foundation models and enterprise AI systems, including dataset construction, augmentation, synthetic data, and evaluation. Research supervision and evaluation techniques such as rubrics and verifiable rewards. Design experiments and conduct rigorous empirical studies including ablations, benchmarks, and error analysis. Build lightweight research prototypes and tooling in Python to support internal studies. Collaborate with academic partners and internal research teams by reading papers, proposing hypotheses, and iterating rapidly.
RevOps Lead
Co-build with customers: Understand discovery calls, translate messy requirements into clear specs, prototype quickly, and iterate to adoption. Own automations end-to-end: Design, build, and maintain low-code workflows using n8n and Clay (webhooks, schedulers, error handling). Customize CRMs: Configure and extend HubSpot/Salesforce for clients (objects, properties/fields, automations, APIs). Build AI agents: Help design and wire up agents using Baserow + n8n (data models, prompts, evaluation loops). Be product-minded: Propose improvements, simplify flows, and turn one-off builds into repeatable templates.
Agentic Product Manager
As an Agentic Product Manager at Netomi, you are responsible for designing, architecting, and deploying large-scale Agentic AI solutions for enterprise customers by translating complex business processes into AI-driven workflows. You lead discovery sessions with customers to understand their processes and identify automation opportunities, design agentic orchestration strategies, and build detailed solution blueprints involving workflows, data exchanges, escalation logic, guardrails, analytics, and agent lifecycle design. You define AI architectures including intents, actions, tools, integration points, and decision logic, work with customer technical teams on integration dependencies, own the creation of integration design documents, and support implementation. You ensure agent workflows comply with enterprise standards and collaborate with Product & Engineering to translate customer requirements into product features or enhancements. You serve as the product owner during deployment, managing priorities, clarifications, acceptance criteria, and workflow evolution. You validate solution behavior with QA, guide test plans, conduct user-experience reviews, and tune agent behavior. Acting as a trusted advisor, you present architectural recommendations and best practices, train customer teams, ensure timely project delivery with high quality and measurable impact, drive continuous improvement through playbooks and reusable templates, and maintain expertise in agentic AI, LLMs, workflow orchestration, and enterprise systems.
Agentic Product Analyst
As an Agentic Product Analyst at Netomi, you will be responsible for designing, architecting, and deploying large-scale Agentic AI solutions for enterprise customers. You will lead discovery sessions with enterprise customers to understand business processes, operations, workflows, KPIs, and constraints, identify automation opportunities, and design agentic orchestration strategies using Netomi's AI platform. You will build detailed solution blueprints including workflows, data exchanges, escalation logic, guardrails, analytics, and agent lifecycle design. You will define end-to-end Agentic AI architectures, covering intents, actions, tools, integration points, and decision logic, and work with customer technical teams to map integration dependencies such as APIs, events, SSO, CRMs, ticketing systems, and internal tools. You will own the creation of integration design documents and support Integration Engineers during implementation, ensure agent workflows comply with enterprise standards for security, reliability, audit, and governance, and collaborate with Product & Engineering to translate customer requirements into features or enhancements. You will serve as the product owner during deployment by driving priorities, clarifications, acceptance criteria, and workflow evolution, validate solution behavior end-to-end with QA while guiding test plans, scenario tests, and success criteria, conduct user-experience reviews of agent outputs and behavior tuning, act as a trusted advisor to customer stakeholders, present architectural recommendations, best practices, and roadmap suggestions, train customer teams on agentic workflows, governance, and performance improvement strategies, ensure projects are delivered on time with high quality, low rework, and measurable impact, drive continuous improvement through playbooks, reusable workflow templates, and integration patterns, and maintain deep expertise in agentic AI, LLMs, workflow orchestration, and enterprise systems.
Principal Product Manager
The Principal Product Manager at Replicant is responsible for defining and driving multi-team product and AI strategy that shapes the company's vision for next-generation AI customer service, owning problems at both product and company strategy levels while balancing long-term technical investments with iterative delivery. They must stay at the forefront of AI capabilities, deeply understanding the evolving landscape of large language models, voice AI, evaluation frameworks, and agentic architectures, and decide where to build, partner, or integrate to maintain a technical and strategic edge. The role involves leading cross-functional initiatives with measurable business and customer impacts, owning roadmaps from conception through execution and iteration across AI/ML, engineering, design, and go-to-market teams. The manager is tasked with driving customer and market research in uncharted areas, regularly engaging with customers, prospects, and industry leaders multiple times per week to gather insights on complex, multi-team problems and sharing these findings to shape product strategy across the organization. They establish and own company-wide product metrics such as accuracy, containment, task success rates, latency, CSAT, and cost efficiency, using them to guide strategic decisions. Communication is key, as they must inspire and align all audiences—including engineering teams, executives, board members, and customers—and represent the company externally. Additionally, they coach and elevate the product team, lead by example, provide regular feedback, improve the skills of other PMs, and lead hiring efforts for senior and executive positions to close top candidates.
CA Industrial Trainee
Product Manager, AI Agents
As a Product Manager for AI Agents at Assort Health, you will lead the development of high-performance AI agents by partnering with engineering, design, and customers to build production-grade AI systems that manage high-volume, high-complexity interactions. You will take AI agents from concept to launch and continuously improve them as new business needs arise. You will work directly with customers across technical, operational, and executive teams to understand workflows, requirements, and bottlenecks, design and present demos showcasing capabilities, collaborate on integration challenges, tailor and refine agents to align with real business processes, serve as a strategic advisor for long-term AI strategies, and build trusted relationships. Additionally, you will influence the product roadmap by working with cross-functional partners to define requirements, prioritize features, and translate customer needs into actionable engineering work to support product growth.
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