{"id":3029594,"url":"https://alion.io/job/eliza-principal-ai-deployment-manager-controller","title":"Principal AI Deployment Manager, Controller","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":null},"role":"Solutions","role_family":"Solutions","seniority":"lead","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":126000,"max_usd":238000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":207},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-10-21T17:21:31Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-23T20:45:11Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"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 Principal AI Deployment Manager, Controller brings controller-level accounting depth to AI implementation work across finance teams. You will work with finance leaders and subject-matter experts to understand how their processes and systems work today, identify where AI can improve them, and shape a practical path from discovery to an evaluated workflow.\nThe work centers on order-to-cash, month-end accounting close, and procure-to-pay. You will translate accounting policies, controls, system behavior, data needs, and exceptions into clear requirements, then partner with Forward Deployed Engineers to design and deliver a finance workflow that can be tested and reviewed. This is a client-facing role for a controller who has implemented AI workflows and can connect finance judgment to technical delivery.\nEliza works AI-first and expects everyone in the company to use AI tools thoughtfully in their work. We move quickly, work through ambiguity, and stay accountable for outcomes. You will receive ownership of client problems, not a fixed script.\nKey Responsibilities\n1. Lead finance process discovery\nRun working sessions with controllers, accounting teams, and other client SMEs to map O2C, close, or P2P workflows, including systems, controls, handoffs, and exceptions.\n\nEstablish the current-state baseline and clarify what a successful outcome would mean to the finance team.\n\nAssess process fit, data readiness, risk, and where human review or approval must remain.\n\n2. Translate controller needs into product requirements\nTurn accounting workflows and policy requirements into structured product requirements, decision rules, acceptance criteria, product roadmap, and test cases.\n\nPrioritize opportunities by feasibility, finance impact, data quality, and implementation effort.\n\nMake clear recommendations about where AI is useful, where standard automation is sufficient, and where a process is not ready.\n\n3. Partner on delivery with engineering\nWork closely with Forward Deployed Engineers to shape an MVP plan, clarify dependencies, and make tradeoffs across scope, quality, and timing.\n\nReview workflow behavior against representative finance cases, including edge conditions, exceptions, reconciliations, and audit evidence.\n\nKeep model limitations, data quality, access controls, and production-readiness risks visible as work moves from prototype to deployment.\n\n4. Measure outcomes and guide adoption\nDefine evaluation criteria and business outcomes with client SMEs before implementation and track results against agreed baselines.\n\nPresent findings clearly, separate measured results from hypotheses, and recommend what to improve or test next.\n\nBuild client confidence through accurate communication, practical training, and clear handoffs.\n\n5. Build reusable finance delivery practices\nTurn lessons from client work into reusable process maps, requirements patterns, evaluation methods, and implementation guidance.\n\nContribute controller expertise to finance-focused discovery, solution design, and pursuit planning.\n\nRaise delivery or client risks early and help set a high standard for finance AI work.\n\nQualifications\nRequired\nCPA background and substantial controller or controllership experience.\n\nDeep experience with ERP, accounting systems, or finance systems implementations and process change.\n\nStrong working knowledge of core accounting and finance processes and underlying systems (e.g., order-to-cash, month-end close, or procure-to-pay)\n\nEvidence of implementing AI-supported workflows in finance or accounting, with a practical understanding of AI capabilities and limitations.\n\nAbility to translate accounting policy, controls, exceptions, and system behavior into requirements that engineering teams can implement and test.\n\nClient-facing communication skills and the judgment to ask precise questions, challenge assumptions, and explain tradeoffs clearly.\n\nOwnership of outcomes through discovery, delivery, evaluation, and client review.\n\nPreferred\nController experience in a PE-backed company.\n\nExperience with AI-native ERP or finance automation platforms, accounting agents, or ERP integrations.\n\nFinance transformation consulting or work across multiple priority finance processes.\n\nExperience defining evaluation methods and controls for AI systems used in finance.\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\nDirect work with finance leaders on practical AI deployments that affect core accounting workflows.\n\nClose partnership with experienced engineers and client subject-matter experts.\n\nThe opportunity to shape how controller and accounting expertise informs AI delivery.\n\nMeaningful ownership from discovery through measured client outcomes.\n\nThe opportunity to shape reusable methods for finance AI delivery.\n\nVariety across finance processes, systems, and client environments.\n\nA leadership role within a high-growth OCFO practice develops.","description_format":"text","description_chars":5575,"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","LLM & Generative AI","AI Agents","AI Consulting & 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