
1001 - 5000 employees
đŒ Consulting
đïž Construction
đ„ Healthcare
Consulting âą Construction âą Healthcare
Salas O'Brien is a multidisciplinary engineering and design firm delivering MEP, structural, civil, energy and resiliency, process engineering, digital automation, and sustainability and forensic consulting for buildings, industrial facilities, and infrastructure. The firm specializes in advanced energy and renewables, decarbonization strategy, microgrids, energy optimization, and integrated facility design and commissioning, serving institutional, healthcare, education, data center, aerospace, and manufacturing clients. Salas O'Brien focuses on sustainable, resilient solutions and technical project delivery for other organizations and public-sector partners.
đ August 22
đșđž United States â Remote
đ” $145k - $165k / year
â° Full Time
đ Senior
đŽ Lead
â Product Manager
đ» Ghost score 13%
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1001 - 5000 employees
đŒ Consulting
đïž Construction
đ„ Healthcare
Consulting âą Construction âą Healthcare
Salas O'Brien is a multidisciplinary engineering and design firm delivering MEP, structural, civil, energy and resiliency, process engineering, digital automation, and sustainability and forensic consulting for buildings, industrial facilities, and infrastructure. The firm specializes in advanced energy and renewables, decarbonization strategy, microgrids, energy optimization, and integrated facility design and commissioning, serving institutional, healthcare, education, data center, aerospace, and manufacturing clients. Salas O'Brien focuses on sustainable, resilient solutions and technical project delivery for other organizations and public-sector partners.
âą Shape the product vision and roadmap as business needs and platform capabilities evolve âą Manage and prioritize the backlog and write clear requirements âą Make prioritization decisions and explain tradeoffs to stakeholders âą Guide refinement, sprint planning, reviews, and follow-through with the engineering pod âą Define success measures and report adoption, value, and product performance âą Support product adoption by engaging early users and partnering on enablement âą Build relationships with stakeholders across business units âą Guide the product through governance and incorporate design controls âą Present product progress, investment considerations, and recommendations to leadership and governance committees âą Provide product direction and team leadership for the assigned engineering pod, including input into hiring, development planning, performance, and day-to-day execution âą Monitor usage, adoption, value delivered, and data quality âą Report to the Director, Data & AI Product Management âą Travel up to 20% may be required
âą Seven or more years of experience in product ownership or product management, including data, analytics, or AI products delivered to production âą Experience creating clear backlogs, requirements, and acceptance criteria âą Working SQL skills âą Practical familiarity with modern data platform concepts, including lakehouse architecture, layered data models, and data quality management âą Experience defining product success metrics and reporting progress to leadership âą Experience working with stakeholders across independent business units or lines of business âą Experience supporting an agile delivery cadence with an engineering team âą Bachelor's degree in a technical, quantitative, or business discipline, or equivalent experience âą Strong written and verbal communication skills âą Demonstrated experience leading a product, not just a project âą Ability to create clear and actionable requirements for technical and business partners âą Comfort working with data, including SQL and model evaluation concepts âą Ability to understand user needs, advocate for product direction with senior stakeholders, and adjust course based on evidence âą Preferred: experience in architecture, engineering, construction, or professional services âą Preferred: experience with Databricks, Unity Catalog, or a comparable governed data platform âą Preferred: experience with generative AI product patterns, including retrieval, evaluation, and human review workflows âą Preferred: prior experience as a data engineer, analyst, or software developer
âą Performance-based bonus âą Medical, dental, and vision insurance âą 401(k) with company match âą Paid time off and company holidays âą Wellness programs âą Employee assistance resources âą Professional development support âą Employee-owned company
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