{"id":3858244,"url":"https://alion.io/job/techdome-product-manager-genai-enterprise-software","title":"Product Manager: GenAI & Enterprise Software","company":{"id":4431620,"name":"Techdome","domain":"techdome.io","url":"https://alion.io/company/tech-dome","size_band":"51-200","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"role":"Product","role_family":"Product","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Asana","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Kanban","optional":false},{"name":"LLM","optional":false},{"name":"RAG","optional":false},{"name":"Scrum","optional":false},{"name":"Trello","optional":false},{"name":"Waterfall","optional":false},{"name":"LLM Guardrails","optional":true}],"status":"closed","first_seen_at":"2026-10-31T11:44:58Z","employer_posted_date":"2026-10-31","last_verified_at":"2026-11-07T09:52:34Z","board_verified":false,"closed_at":"2026-11-07T09:52:34Z","days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"About Techdome\nTechdome builds AI-first products for enterprise clients in FinTech, Healthcare, E-commerce, EdTech, Logistics, and SaaS. Our engineers, designers, and AI specialists work on LLM-powered applications, RAG systems, conversational assistants, autonomous agents, and workflow automation, alongside scalable enterprise platforms with the integrations, security, and compliance that clients require.\nRole Summary\nA GenAI demo takes a weekend. A product that survives a compliance review, a budget cycle, and real users takes a PM who knows the difference.\nAs Product Manager, you will own each product from the first client conversation through launch and beyond. You are accountable for scope, schedule, budget, risk, and the client relationship. You will turn a talented cross-functional team into shipped products by catching unclear requirements, dropped handoffs, and unspoken risks while they are still cheap to fix.\nKey Responsibilities\nProduct and scope\nConvert client vision into clear scope, milestones, timelines, and budgets that are ambitious but technically realistic.\nLearn each client’s industry, regulations, and compliance needs, and translate them into requirements the team can build without guesswork.\nGenAI delivery\nWork with ML engineers to move LLM, RAG, agent, and automation prototypes into reliable, scalable, safe production systems.\nDefine and track production metrics: accuracy, latency, evaluation results, and cost per query.\nEnsure AI features integrate with client systems through APIs and meet enterprise standards for security, data privacy, and uptime.\nCross-functional leadership\nCoordinate UI/UX, frontend, backend, mobile, QA, DevOps, and business analysts so handoffs are clean and nothing is left to assumption.\nPlan team capacity and hold all parties to clear commitments.\nManage third-party vendors, including LLM and cloud providers.\nRisk, change, and reporting\nRun structured change control for scope, timeline, and budget impacts.\nIdentify and escalate delivery, technical, and AI-specific risks early: hallucinations, prompt injection, data privacy, bias, and runaway costs.\nTrack progress in JIRA or Azure DevOps and give clients and leadership clear, no-surprise updates.\nUse AI tools to speed up documentation, planning, tracking, and reporting.\nRequirements\nMust have\n3+ years as a Product Manager delivering complex enterprise software on time and within budget.\nHands-on GenAI experience, ideally having shipped at least one LLM, RAG, or agent-based product, with a clear understanding of the AI lifecycle and its risks.\nExperience leading cross-functional teams across design, engineering, QA, and DevOps.\nWorking knowledge of Agile (Scrum/Kanban) and Waterfall, and of JIRA, Azure DevOps, Trello, or Asana.\nTechnical grounding in the SDLC, APIs, microservices, databases, cloud (AWS/Azure/GCP), and CI/CD, enough to challenge estimates and earn engineers’ respect.\nStrong judgment in managing risk, change, vendors, and stakeholders.\nExcellent written and verbal communication, including with senior client stakeholders.\nGood to have\nFamiliarity with LLM evaluation, guardrails, and cost-optimization practices.\nPMP, PRINCE2, CSM, CSPO, or an AI/cloud certification.\nDeep expertise in FinTech or Healthcare.\nExposure to multiple industries and the curiosity to learn a new one quickly.\nSuccess Metrics\nFirst 30 days: Learn Techdome’s delivery process, meet the team, and get up to speed on active client projects.\nBy 60 days: Independently lead at least one project, owning the plan, the risks, and the client relationship.\nBy 90 days: Deliver a key milestone, improve how we run projects, and earn the trust of the team and clients.\nWhat We Offer\nTechnically demanding GenAI projects across multiple industries.\nDaily collaboration with experienced designers, engineers, QA specialists, and AI experts.\nA real voice in how projects are planned, run, and delivered.\nDeep expertise-building at the frontier of GenAI.","description_format":"text","description_chars":3981,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Software","Custom Software Development","Angel Networks & Startup 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