{"id":759089,"url":"https://alion.io/job/eliza-ai-product-manager","title":"AI Deployment Manager","company":{"id":449604,"name":"Eliza","domain":"eliza.com","url":"https://alion.io/company/eliza-5","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Solutions","role_family":"Solutions","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":105000,"max_usd":235000,"period":"year","method":"role_country_seniority_unknown","sample_n":4589},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-03-26T13:41:28Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-11-11T00:03:32Z","board_verified":true,"closed_at":null,"days_open":229,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":228},"description":"About Us\nWe are a technology services company dedicated to helping organizations build and deploy cutting-edge AI solutions. From generative AI and custom LLM integrations to predictive analytics and intelligent automation, we work across industries to bring real-world AI applications to life. Our projects combine deep technical expertise with hands-on client collaboration to solve high-impact problems.\nJob Summary\nThe AI Deployment Manager works with clients to turn business needs into practical AI solutions and measurable outcomes. We’re interested in candidates with depth in either of two areas: Build, shaping and delivering AI products and workflows with engineering teams; or Enablement, helping people adopt AI through training, hands-on learning, and workflow development with client champions.\nYou’ll lead work that fits your strengths and the needs of each engagement. You are not expected to specialize equally in both areas, though experience across both is welcome. In either path, you’ll work closely with clients, understand how their teams operate, use AI thoughtfully, and stay accountable for results.\nEliza is AI-native: you will use AI tools across discovery, product definition, workflow building, training, and client communication, and explain where they help and where they fall short. Client work moves quickly and can change as users and evidence reveal new needs; we value thoughtful preparation, adaptability, and reliable follow-through.\nKey Responsibilities\n1. Discover client needs and define the opportunity\nLead stakeholder and user conversations to understand business goals, workflows, pain points, data readiness, and adoption barriers.\n\nAssess AI use-case fit, feasibility, risk, timing, and potential impact; make clear recommendations about what is ready to pursue.\n\nAlign client stakeholders on priorities, target users, milestones, and measures of success.\n\n2. Build: shape and deliver AI products and workflows\nTranslate business needs into product requirements, specifications, acceptance criteria, product roadmaps, and delivery plans engineers can act on.\n\nPartner with engineers through design, evaluation, iteration, launch, and handoff; engineering owns implementation and infrastructure decisions.\n\nSurface edge cases, data quality, compliance, and scalability risks as work moves from prototype toward production.\n\n3. Enablement: help client teams adopt AI\nDesign and lead trainings, workshops, and office hours that help people apply AI in their daily work.\n\nCo-build, test, and refine prompts, skills, and workflows with client champions; make limitations and review needs clear.\n\nTurn effective practices into learning materials, curricula, and reusable templates.\n\n4. Measure outcomes and improve the work\nDefine success criteria with client experts, including for AI systems that need ongoing evaluation.\n\nTrack product and adoption signals such as usage, realized business outcomes, and time saved; distinguish measured results from early indications.\n\nUse evaluation results, participant feedback, and adoption evidence to improve the solution and follow-up.\n\n5. Align stakeholders and scale what works\nManage scope, dependencies, risks, and client cadence while keeping business stakeholders, subject-matter experts, and technical teams aligned.\n\nCommunicate progress, decisions, and tradeoffs clearly; raise feasibility concerns and challenge low-value requests early.\n\nPrepare and facilitate executive steering committee meetings that share progress and shape future opportunities with clients.\n\nPackage proven delivery methods, learning materials, and workflow assets for reuse across engagements.\n\nQualifications\nRequired\nYou should bring meaningful depth in at least one of the following areas. Experience across both is welcome but not required.\nBuild background\nProduct or delivery experience translating business needs into requirements and coordinating with engineering to move AI or software solutions toward launch.\n\nAbility to assess feasibility, define acceptance evidence, and manage delivery tradeoffs as prototypes move toward production.\n\nEnablement background\nExperience in client enablement, training, learning and development, adoption, customer success, or change work.\n\nAbility to facilitate practical learning and help users translate their workflows into AI-supported practices and clear adoption measures.\n\nShared strengths\nStrong AI fluency: practical use of current AI tools and a clear understanding of model strengths, limitations, and safeguards.\n\nSound judgment across client needs, business outcomes, technical constraints, and risk; know when to bring in engineering expertise.\n\nHuman-centered design mindset: translate user needs into intuitive AI experiences, apply sound UX judgment, and use research and testing to refine solutions.\n\nClear facilitation, executive communication, concise writing, organization, and reliable follow-through.\n\nPreferred\nExperience across both Build and Enablement.\n\nMBA background.\n\nHands-on experience developing prompts, skills, or workflows with enterprise client teams; or experience with adult learning, curriculum design, or adoption measurement.\n\nExposure to enterprise software delivery, including backlogs, requirements, sprints, or evaluation work.\n\nExperience in finance, private equity operations, healthcare, or another domain Eliza serves.\n\nWhat We Offer\nCompetitive compensation (base salary + performance incentives tied to client outcomes).\n\nEquity options in a growing AI services company.\n\nExposure to a wide range of industries and high-impact AI problems.\n\nTravel opportunities for on-site client engagements (if desired).\n\nA collaborative, mission-driven team passionate about the real-world impact of AI.\n\nOwn meaningful AI work from client discovery through delivery or adoption.\n\nWork directly with client teams on practical AI use cases and workflows.\n\nPartner closely with engineers, client leaders, and subject-matter experts.\n\nHelp shape reusable product delivery and enablement methods across engagements.","description_format":"text","description_chars":6067,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","LLM & Generative AI","AI Agents","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-09-11T17:56:54Z"},{"event":"close","at":"2026-09-19T15:42:13Z"},{"event":"reopen","at":"2026-10-21T20:05:51Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.26,"p_room":0.28,"age_days":228,"expected_fill_days":30,"reasons":["conf:3","velocity","win:tail","crowd:"],"computed_at":"2026-11-10T06:52:35Z"},"pay":null,"html_url":"https://alion.io/job/eliza-ai-product-manager","json_url":"https://alion.io/job/eliza-ai-product-manager.json","meta":{"generated_at":"2026-11-11T03:59:42Z","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":3890,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":449604},"rest":"https://alion.io/mcp/rest/get_company?id=449604"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Feliza-ai-product-manager"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Feliza-ai-product-manager"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Feliza-ai-product-manager"},{"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/eliza-ai-product-manager\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Feliza-ai-product-manager"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":759089}},{"tool":"search_jobs","arguments":{"company":"eliza.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":759089},"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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