{"id":3194553,"url":"https://alion.io/job/exl-senior-ai-product-manager-agentic-ai-data-intelligence","title":"Senior AI Product Manager - Agentic AI & Data Intelligence","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":80,"open_postings":268,"ghost_share":0,"stale_share":0.996,"repost_share":0.004,"time_to_fill_p50_days":15,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Phoenix, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":140000,"currency":"USD","period":"year","gross":null,"usd_annual":140000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":true},{"name":"Function Calling","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Python","optional":true},{"name":"RAG","optional":true},{"name":"Rest API","optional":true},{"name":"Semantic Search","optional":true}],"status":"live","first_seen_at":"2026-10-23T23:00:13Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-30T05:50:46Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Work Location: Arizona, United States\nWork Mode : onsite\nPay Range :$100K-$140K /Yr Base + Annual Bonus\n The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process\nFor more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits\nWe are seeking an AI Product Manager - Agentic AI & Data Intelligence to lead the strategy, evaluation, and development of next-generation AI products that combine autonomous AI agents, enterprise data, and intelligent workflows. This role sits at the intersection of Agentic AI, Generative AI, data platforms, product strategy, and engineering. The Product Manager will identify emerging technologies, define product capabilities and roadmaps, evaluate third-party and open-source solutions, and work hands-on with engineering and data teams to prototype and validate new AI capabilities. The ideal candidate combines strong technical depth with strategic product leadership and can translate rapidly evolving AI technologies into secure, scalable, measurable enterprise products.\n Define and evolve product strategy and roadmaps for Agentic AI and Data Intelligence products and platforms.\nResearch emerging technologies, industry standards, architectures, and best practices across AI agents, multi-agent systems, LLMs, reasoning models, tool use, workflow orchestration, enterprise search, knowledge systems, and data intelligence.\nIdentify opportunities where AI agents can automate complex workflows, augment decision making, and improve how users interact with enterprise data.\nTranslate emerging technology capabilities into practical enterprise use cases, product investments, and roadmap priorities.\nOwn technical product requirements, capabilities, APIs, integration patterns, success metrics, and non-functional requirements.\nPartner closely with engineering, architecture, data science, data engineering, security, and business teams to move capabilities from concept through production.\nDefine reusable platform capabilities for agent orchestration, tool integration, context management, memory, data access, reasoning, and human-in-the-loop workflows.\nDrive build-vs-buy-vs-partner decisions for emerging AI and data technologies.\nDefine product capabilities spanning structured and unstructured data, semantic search, metadata, knowledge retrieval, RAG, vector search, and natural-language data interaction.\nSupport hands-on PoCs and prototypes involving single-agent and multi-agent workflows, tool calling, APIs, enterprise data sources, and automated business processes.\nDefine experiment hypotheses, evaluation datasets, success criteria, and production-readiness requirements.\nAssess agent performance across dimensions such as task completion, accuracy, reasoning quality, latency, cost, reliability, security, and user experience.\nEstablish frameworks for evaluating and benchmarking Agentic AI systems beyond traditional model-level metrics.\nPartner with risk, security, privacy, and governance teams to establish appropriate controls for autonomous and semi-autonomous AI systems.\nProduce high-quality technical assessments, product requirements, architecture recommendations, benchmarking reports, decision documents, and technology landscape analyses.\nCommunicate product strategy, technical trade-offs, investment requirements, and measurable business outcomes to both technical and executive audiences.\n Significant experience in AI product management, data platform product management, or related technical roles.\nStrong understanding of Generative AI, LLMs, Agentic AI architectures, RAG, enterprise search, APIs, and modern data platforms.\nUnderstanding of agent concepts including tool/function calling, planning, reasoning, context management, orchestration, memory, and human-in-the-loop patterns.\nExperience working with structured and unstructured enterprise data, data APIs, metadata, search, retrieval, or analytics platforms.\nStrong technical fluency with REST APIs, JSON, Python or similar scripting languages, cloud platforms, and AI/ML services.\nDemonstrated ability to define technical products and collaborate deeply with engineering, architecture, data science, and data engineering teams.\nExperience evaluating emerging technologies through PoCs, experimentation, benchmarking, and structured technical analysis.\nStrong written and verbal communication skills with the ability to translate complex AI and data concepts into clear product and executive recommendations.\nExperience designing or delivering enterprise AI agents, copilots, intelligent workflow automation, or AI-powered data products.\nExperience with agent development and orchestration frameworks and emerging interoperability standards such as MCP.\nFamiliarity with vector databases, knowledge graphs, semantic layers, embedding models, enterprise search, data catalogs, and modern data platforms.\nExperience developing evaluation frameworks for LLMs and agentic systems, including automated evaluation and human evaluation.\nUnderstanding of enterprise AI governance, data governance, security, privacy, responsible AI, identity/access management, and observability.\nExperience moving emerging AI capabilities through the lifecycle of research to experimentation to PoC to production to scaled enterprise adoption.","description_format":"text","description_chars":6009,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Business Process Outsourcing (BPO)","AI Consulting & Integration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-10-24T03:48:53Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 281 · green card filings: 17","filings_12m":281,"filings_prev_12m":395,"green_card_filings_12m":17,"median_offered_wage_usd":128641,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":93}],"liveness":{"score":56,"band":"ok","label":"Likely open","p_open":1,"p_active":0.622,"p_room":0.9,"age_days":6,"expected_fill_days":15,"reasons":["conf:4","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-30T05:48:23Z"},"pay":{"stated_usd_annual":140000,"is_top_pay":false},"html_url":"https://alion.io/job/exl-senior-ai-product-manager-agentic-ai-data-intelligence","json_url":"https://alion.io/job/exl-senior-ai-product-manager-agentic-ai-data-intelligence.json","meta":{"generated_at":"2026-10-30T09:20:33Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per 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