{"id":95354,"url":"https://alion.io/job/stord-staff-technical-program-manager-vision-ai","title":"Staff Technical Program Manager - Vision AI","company":{"id":5812,"name":"Stord","domain":"stord.com","url":"https://alion.io/company/stord","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":13,"ghost_share":0,"stale_share":0.846,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Product","role_family":"Product","seniority":"staff","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":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":158000,"max_usd":281000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":222},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Computer Vision","optional":false},{"name":"Digital Twin","optional":true},{"name":"GDPR","optional":true}],"status":"live","first_seen_at":"2026-08-20T00:00:00Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-10-25T07:01:49Z","board_verified":true,"closed_at":null,"days_open":67,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":67},"description":"Stord is The Consumer Experience Company, powering seamless checkout through delivery for today's leading brands. Stord is rapidly growing and is on track to double our revenue in the next 18 months. To meet and exceed this target, Stord is strategically scaling teams across the entire company, and seeking energetic experts to help us achieve our mission.\nBy combining comprehensive commerce-enablement technology with high-volume fulfillment services, Stord provides brands a platform to compete with retail giants. Stord manages over $10 billion of commerce annually through its fulfillment, warehousing, transportation, and operator-built software suite including OMS, Pre- and Post-Purchase, and WMS platforms. Stord is leveling the playing field for all brands to deliver the best consumer experience at scale.\nWith Stord, brands can increase cart conversion, improve unit economics, and drive sustained customer loyalty. Stord’s end-to-end commerce solutions combine best-in-class omnichannel fulfillment and shipping with leading technology to ensure fast shipping, reliable delivery promises, easy access to more channels, and improved margins on every order.\nHundreds of leading DTC and B2B companies like AG1, True Classic, Native, Seed Health, quip, goodr, Sundays for Dogs, and more trust Stord to deliver industry-leading consumer experiences on every order. Stord is headquartered in Atlanta with facilities across the United States, Canada, and Europe. Stord is backed by top-tier investors including Kleiner Perkins, Franklin Templeton, Founders Fund, Strike Capital, Baillie Gifford, and Salesforce Ventures.\nMost TPM roles focus on tracking timelines, coordinating milestones, and driving execution against an established plan. This role is different. You’ll own the operational backbone of a vision AI data program, ensuring ideas move seamlessly from hypothesis to data capture to validation to a governed dataset to a commercial product.You’ll sit at the center of a complex ecosystem spanning a lean founding engineering team, capture hardware and annotation vendors, frontier AI and robotics companies, academic partners, and internal Legal, Site Operations, and Finance teams. Your mandate is to create operational continuity across these interfaces, remove friction, accelerate decisions, and maintain a disciplined path from experimentation to validated, production ready outcomes.\nStord Labs is an innovation center designed to evaluate emerging logistics technologies and help redefine the future of fulfillment. Within a live micro fulfillment environment, you’ll orchestrate the full lifecycle of technical experiments, ensuring promising concepts are rigorously tested, clearly validated, and efficiently transitioned into production when they demonstrate measurable business value.\nThis role is built for a systems oriented program leader who has operated in computer vision, ML, AI, robotics, or data intensive environments and can translate fluently between research, engineering, and warehouse operations without sacrificing speed or precision. You’ll be equally comfortable working with engineers and researchers, coordinating external partners, navigating operational constraints, and communicating outcomes to executive stakeholders.\nThe goal isn’t simply to manage the program. It’s to build the operating system that allows a new vision AI capability to move from idea to validated data product at scale.\nWhat You'll Do:\nOwn the evaluation lifecycle: Govern the end to end pipeline of experiments, ensuring every initiative starts with a clear hypothesis, measurable success criteria, and structured evaluation framework. Drive disciplined decisions to kill, iterate, or scale based on evidence.\n\nRun hardware and vendor evaluations: Lead structured, evidence based evaluations across capture devices, depth sensors, gloves, edge compute, and data and annotation vendors. Own RFPs, scorecards, evaluation frameworks, and vendor selection.\n\nOrchestrate the cross functional ecosystem: Serve as the primary integration point between the engineering pod and Legal, Site Operations, Finance, and warehouse operations. Coordinate requirements around consent, associate participation, scheduling, floor logistics, cost modeling, and operational readiness.\n\nManage the data pipeline program: Drive the path from pilot capture through annotation, validation, and secure buyer delivery. Own annotation throughput and QA cadence while establishing and tracking data quality, capture yield, and delivery metrics.\n\nManage partners and buyers: Coordinate technical and operational engagement with frontier AI and robotics companies and academic partners such as Georgia Tech. Translate customer requirements into clear program priorities and ensure datasets meet the standards required for validation and delivery.\n\nKeep governance and risk on track: Ensure consent, privacy, and data rights requirements are addressed with Legal before and throughout capture activities. Identify and retire program risks while keeping executive sponsors informed of progress, tradeoffs, and decisions.\n\nBasic Qualifications:\nBachelor’s degree in Computer Science, Industrial Engineering, Electrical Engineering, Supply Chain, or a related technical discipline.\n\n8+ years of experience in Technical Program Management, Engineering Management, or complex cross functional delivery roles.\n\nDemonstrated experience running computer vision, ML, or data pipeline programs end to end, including data collection, annotation, model training pipelines, or data platform delivery.\n\nProven experience managing both hardware and data or annotation vendors, including RFPs, structured evaluations, scorecards, and strategic partnerships.\n\nComfortable operating in deeply technical CV, ML, and data environments and translating between research, engineering, and operations without losing precision.\n\nStrong execution discipline and experience operating in agile, sprint based, or similar environments.\n\nDemonstrated judgment in making and driving kill, iterate, or scale decisions based on data and outcomes.\n\nHigh ownership and comfort operating in ambiguous, 0 to 1 environments.\n\nBonus Points:\nExperience in innovation labs, R&D environments, or advanced automation programs.\n\nFamiliarity with egocentric or robotics datasets, annotation platforms such as Scale, MLOps, or delivering datasets to external customers.\n\nExperience with data governance, privacy, or consent programs, including BIPA, GDPR, or CCPA requirements.\n\nFamiliarity with warehouse data ecosystems and architectures, including WMS, OMS, WES, and WCS.\n\nExposure to digital twin or simulation initiatives.\n\nDomain knowledge in warehouse automation, robotics integration, or fulfillment operations.\n\nExperience working with frontier AI companies, robotics companies, academic research institutions, or other emerging technology 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