{"id":2823579,"url":"https://alion.io/job/amazon-senior-product-manager-tech-amazon-manufacturing-services","title":"Senior Product Manager, Tech, Amazon Manufacturing Services","company":{"id":19,"name":"Amazon","domain":"amazon.com","url":"https://alion.io/company/amazon","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":83,"open_postings":4168,"ghost_share":0,"stale_share":0.883,"repost_share":0.001,"time_to_fill_p50_days":16,"computed_at":"2026-10-19T05:45:15Z"}},"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":["Bellevue, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":151200,"max":204600,"currency":"USD","period":"year","gross":null,"usd_annual":204600},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Digital Twin","optional":false},{"name":"Feature Store","optional":false},{"name":"MQTT","optional":true},{"name":"OPC UA","optional":true}],"status":"live","first_seen_at":"2026-09-01T00:00:00Z","employer_posted_date":"2026-10-18","last_verified_at":"2026-10-19T10:05:12Z","board_verified":true,"closed_at":null,"days_open":48,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":48},"description":"Amazon Manufacturing Services (AMS) is seeking a Sr. Product Manager, Tech to own the product vision, strategy, and roadmap for the manufacturing execution and automation intelligence stack powering Amazon’s first advanced manufacturing facility - a highly automated, first-of-its-kind operation. This facility integrates industrial robotics, end-to-end manufacturing automation, and digital manufacturing to produce systems for Amazon’s global fulfillment network.\nKey job responsibilities\nManufacturing Execution Product Strategy\nOwn the 2-3 year product roadmap for the manufacturing execution stack - from scheduling UX through operator tools to AI-powered optimization\nDefine the product vision that connects AI-native scheduling intelligence to the physical shop floor experience\nDevelop and maintain the execution technology strategy across P0 (manual + semi-automated), P1 (AGV integration, real-time optimization), and P2 (AI-enabled autonomous control)\nWrite compelling narratives (PR/FAQs, 6-pagers, OP docs) that articulate product strategy and secure investment from leadership Scheduling & Operator Experience\nServe as the operational product partner to the scheduling engineering team - translating manufacturing floor needs, pain points, and workflows into product requirements\nOwn the operator-facing scheduling experience: how assignments surface, how disruptions are communicated, how overrides are captured, and how the system explains its decisions to the right audience\nDrive the scheduling system’s authority progression (Shadow → Advisory → Co-Pilot → Decision Maker) by defining success criteria, measuring override rates, and building supervisor trust through UX design\nDefine product requirements for scheduling and explainability tools from the operator/supervisor perspective Machine Connectivity & IIoT\nOwn the product vision for machine connectivity - defining how equipment telemetry flows from factory floor to data lake to decision systems\nDefine integration requirements for manufacturing equipment onboarded at the manufacturing facility (industrial lasers, robotic welding cells, automated coating lines, autonomous mobile robots)\nDevelop product requirements for digital twin capabilities - real-time equipment state, simulation for what-if analysis, and predictive modeling\nPartner with automation engineers to define the machine-to-cloud data contract for each equipment class AI/ML & Continuous Improvement\nDefine and execute product strategy for AI-driven manufacturing intelligence: predictive maintenance, automated quality inspection, process parameter optimization, and autonomous cell control\nOwn requirements for the data platform layer that enables ML - feature stores, event streams, model serving infrastructure\nDrive the feedback loop between quality outcomes (first-pass yield, scrap rates) and upstream process adjustments - ensuring the system learns and improves continuously\nDefine the operator interaction model for AI recommendations - when to alert, when to auto-act, when to require human confirmation Shop Floor Quality & Compliance\nOwn the product experience for in-line quality: inspection workflows, non-conformance reporting, root cause analysis tools, and SPC dashboards\nDefine how quality data flows back to both the scheduling system (for replan triggers) and the enterprise system (for financial variance reporting)\nPartner with Quality Engineering to translate ISO 9001:2015 requirements into tool capabilities and audit-ready data records A day in the life In the morning, you review overnight production data from our prototyping factory - the scheduling system’s override rate dropped to 7% this week, and you’re preparing the case to promote it from Shadow to Advisory mode. You pull the override-reason breakdown to identify two UX issues driving unnecessary supervisor interventions, then draft requirements for the engineering team. Mid-morning, you join the scaled factory equipment onboarding review. The laser cutting integration team needs a decision on telemetry frequency - you work through the tradeoffs between data granularity (better for predictive maintenance models) and network cost (lower in batch mode), landing on a tiered approach by signal type. After lunch, you’re on the prototype factory floor shadowing a powder coating operator through a disruption scenario - a rush order just reshuffled the queue, and you observe how the shop floor app communicates the change. The operator missed the notification; you sketch a design change in your notebook. You close the day reviewing the ECO blast-radius prototype with the engineering team. An engineering change landed that affects 47 in-flight orders - the impact visualization needs to surface at-risk-dollars more prominently for the Change Control Board’s decision meeting tomorrow.\nBasic qualifications\n- Bachelor's degree or above in Computer Science, Engineering, or related fields\n- 7+ years of product or program management, product marketing, business development or technology experience\n- Experience defining roadmap strategy and prioritizing deliverables for your team products\n- Experience contributing to engineering discussions around technology decisions and strategy related to a product\n- Experience with analytical tools and ability to dive deep into metrics and reporting\n- Experience with manufacturing execution systems (MES), shop floor scheduling, or production control software\n- Experience managing technical products or online services in manufacturing or industrial environments\nPreferred qualifications\n- Experience in high-volume manufacturing operations or sourcing environments\n- Experience in practical work applying ML to solve complex problems\n- Experience with concepts such as system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making\n- Experience in building and driving adoption of new tools\n- Knowledge of cutting-edge production technologies and delivery workflows\n- Master's degree in Computer Science, Computer Engineering, Systems Engineering, Electrical Engineering, or other related discipline\n- Experience presenting complex ideas in writing in the form of authoring white papers, proposals, or other formal strategy documents\n- Knowledge of IIoT protocols (OPC UA, MTConnect, MQTT) and industrial data integration\n- Experience in high-volume, high-mix manufacturing environments (metals fabrication, welding, coating, assembly)\n- Experience with ISO 9001 or similar manufacturing quality management systems\n- Knowledge of Industry 4.0 principles, smart manufacturing architectures, or software-defined manufacturing\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\nThe base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.\nUSA, WA, Bellevue - 151,200.00 - 204,600.00 USD annually","description_format":"text","description_chars":8017,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Health insurance","Parental leave","Restricted stock units"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Manufacturing","Robotics AI","Advertising","Logistics & Warehouse Robotics"],"lifecycle":[{"event":"open","at":"2026-10-18T19:28:26Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 16,768 · green card filings: 56","filings_12m":16768,"filings_prev_12m":16262,"green_card_filings_12m":56,"median_offered_wage_usd":162609,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+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":2064}],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.36,"p_room":0.28,"age_days":48,"expected_fill_days":16,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-19T05:45:15Z"},"pay":{"stated_usd_annual":204600,"is_top_pay":true},"html_url":"https://alion.io/job/amazon-senior-product-manager-tech-amazon-manufacturing-services","json_url":"https://alion.io/job/amazon-senior-product-manager-tech-amazon-manufacturing-services.json","meta":{"generated_at":"2026-10-19T11:50:33Z","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 call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8457,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"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":19},"rest":"https://alion.io/mcp/rest/get_company?id=19"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Famazon-senior-product-manager-tech-amazon-manufacturing-services"},{"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%2Famazon-senior-product-manager-tech-amazon-manufacturing-services"},{"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%2Famazon-senior-product-manager-tech-amazon-manufacturing-services"},{"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/amazon-senior-product-manager-tech-amazon-manufacturing-services\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famazon-senior-product-manager-tech-amazon-manufacturing-services"}]}