
1001 - 5000 employees
💼 Consulting
🏗️ Construction
🏥 Healthcare
Consulting • Construction • 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.
🕒 August 22
🇺🇸 United States – Remote
💵 $145k - $165k / year
⏰ Full Time
🟠 Senior
🔴 Lead
✅ Product Manager
👻 Ghost score 15%
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1001 - 5000 employees
💼 Consulting
🏗️ Construction
🏥 Healthcare
Consulting • Construction • 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.
• Shape the product vision and roadmap as business needs and platform capabilities evolve • Manage and prioritize the backlog and write clear requirements • Make prioritization decisions and explain tradeoffs to stakeholders • Guide refinement, sprint planning, reviews, and follow-through with the engineering pod • Define success measures and report adoption, value, and product performance • Support product adoption by engaging early users and partnering on enablement • Build relationships with stakeholders across business units • Guide the product through governance and incorporate design controls • Present product progress, investment considerations, and recommendations to leadership and governance committees • Provide product direction and team leadership for the assigned engineering pod, including input into hiring, development planning, performance, and day-to-day execution • Monitor usage, adoption, value delivered, and data quality • Report to the Director, Data & AI Product Management • Travel up to 20% may be required
• Seven or more years of experience in product ownership or product management, including data, analytics, or AI products delivered to production • Experience creating clear backlogs, requirements, and acceptance criteria • Working SQL skills • Practical familiarity with modern data platform concepts, including lakehouse architecture, layered data models, and data quality management • Experience defining product success metrics and reporting progress to leadership • Experience working with stakeholders across independent business units or lines of business • Experience supporting an agile delivery cadence with an engineering team • Bachelor's degree in a technical, quantitative, or business discipline, or equivalent experience • Strong written and verbal communication skills • Demonstrated experience leading a product, not just a project • Ability to create clear and actionable requirements for technical and business partners • Comfort working with data, including SQL and model evaluation concepts • Ability to understand user needs, advocate for product direction with senior stakeholders, and adjust course based on evidence • Preferred: experience in architecture, engineering, construction, or professional services • Preferred: experience with Databricks, Unity Catalog, or a comparable governed data platform • Preferred: experience with generative AI product patterns, including retrieval, evaluation, and human review workflows • Preferred: prior experience as a data engineer, analyst, or software developer
• Performance-based bonus • Medical, dental, and vision insurance • 401(k) with company match • Paid time off and company holidays • Wellness programs • Employee assistance resources • Professional development support • Employee-owned company
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