{"id":589095,"url":"https://alion.io/job/innefu-labs-product-manager-agentic-ai","title":"Product Manager Agentic AI","company":{"id":59409,"name":"Innefu Labs","domain":"innefu.com","url":"https://alion.io/company/innefu-labs","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":{"grade":"B","score":70,"open_postings":12,"ghost_share":0.5,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New Delhi, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":52000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":46},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"CrewAI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"RAG","optional":false},{"name":"Hallucination","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"LangChain","optional":true},{"name":"LLM Guardrails","optional":true}],"status":"live","first_seen_at":"2026-09-10T00:00:00Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-11-05T23:38:15Z","board_verified":true,"closed_at":null,"days_open":57,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":56},"description":"• 8-12 years in product management, with demonstrable ownership of at least one AI/ML or agentic AI product taken from concept/zero to a live, adopted release - not just a feature add-on to an existing product.Working technical fluency in agentic AI system design: agent orchestration and planning (e.g., ReAct-style reasoning, task decomposition, multi-agent coordination), tool/function calling, and agent memory patterns.\nSolid working knowledge of the surrounding AI stack: LLM APIs and fine-tuning/prompting tradeoffs, RAG pipelines, vector databases, knowledge graphs, and evaluation/observability tooling for LLM-based systems.\nFamiliarity with common agent frameworks and protocols (e.g., LangGraph, AutoGen, CrewAI-style orchestration, or equivalent in-house frameworks) and emerging standards such as MCP (Model Context Protocol) for tool/agent interoperability.\nTrack record of writing clear PRDs/specs for ML-driven features, defining success metrics for probabilistic (not just deterministic) systems, and running structured experimentation.\nComfort partnering closely with engineering and applied AI/ML teams on architecture-level tradeoffs - you don't need to write production code, but you need to hold your own in a systems design conversation.\nStrong stakeholder management and communication skills - able to translate deep technical tradeoffs into business language for leadership, sales, and customers, and vice versa.\nPrior experience in enterprise B2B SaaS, security/intelligence, fintech, or another data-sensitive domain is a plus, given Innefu Labs' customer base.\nBachelor's degree in Computer Science, Engineering, or a related technical field; an MBA or equivalent is a plus but not a substitute for hands-on technical depth.\nRequirements What You Will Own\nDefine and own the product vision, strategy, and roadmap for an agentic AI product built from zero - problem discovery, architecture direction, MVP scoping, and scale-up.\nTranslate ambiguous, open-ended problems into a phased agentic system design: which tasks are agent-driven vs. deterministic, where human-in-the-loop checkpoints belong, and how autonomy expands release over release.\nPartner with engineering on core architecture decisions - agent orchestration and planning layers, tool-calling/function-calling design, memory and state management, RAG and retrieval pipelines, and multi-agent coordination patterns.\nOwn the evaluation framework for agent quality - task success rate, hallucination/error rate, latency, cost-per-task, and safety guardrails - and use it to drive prioritization, not just measure it after the fact.\nDefine prompt, tool, and knowledge-source specifications working directly with applied AI/ML engineers; review agent behavior transcripts and failure cases as part of the regular product cycle.\nRun structured discovery with enterprise customers and internal stakeholders to identify high-value workflows for autonomous or semi-autonomous automation.\nOwn the build-vs-buy and framework decisions in collaboration with engineering (agent frameworks, vector databases, LLM providers, orchestration layers) and stay current on the fast-moving agentic AI ecosystem.\nDefine and track north-star and input metrics for the product - adoption, task completion, time-saved, cost-to-serve - and report outcomes to leadership.\nOwn the end-to-end roadmap prioritization, sprint-level scoping with engineering, and release planning; write clear PRDs, user stories, and acceptance criteria for agent-based features.\n• Represent the product externally - customer demos, RFP/technical proposal support, and partner/analyst conversations - with the technical depth to answer architecture-level questions directly.","description_format":"text","description_chars":3716,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Identity Management","Law Enforcement","Intelligence","Cybersecurity AI"],"lifecycle":[{"event":"open","at":"2026-09-10T09:19:40Z"}],"visa":[],"liveness":{"score":20,"band":"cold","label":"Long shot","p_open":1,"p_active":0.44,"p_room":0.45,"age_days":56,"expected_fill_days":36,"reasons":["conf:2","stale_co","win:tail"],"computed_at":"2026-11-05T05:54:30Z"},"pay":null,"html_url":"https://alion.io/job/innefu-labs-product-manager-agentic-ai","json_url":"https://alion.io/job/innefu-labs-product-manager-agentic-ai.json","meta":{"generated_at":"2026-11-06T00:07:20Z","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 call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":310,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":59409},"rest":"https://alion.io/mcp/rest/get_company?id=59409"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Finnefu-labs-product-manager-agentic-ai"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Finnefu-labs-product-manager-agentic-ai"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Finnefu-labs-product-manager-agentic-ai"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/innefu-labs-product-manager-agentic-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Finnefu-labs-product-manager-agentic-ai"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":589095}},{"tool":"search_jobs","arguments":{"company":"innefu.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":589095},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); 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