Lead the development of appraisal and pricing capabilities using data science to automate valuation decisions. Collaborate across teams for insights into pricing and operational strategies.
About the Role
Amplio is building the intelligence layer that powers how manufacturers recover value from surplus equipment. You’ll lead the development of our appraisal and pricing capabilities — combining data science with agentic AI to automate and improve valuation decisions at scale.
Key Responsibilities
- Design and iterate models that estimate fair market value, recovery potential, and optimal disposition strategy.
- Leverage agentic AI to automate cataloging and appraisal workflows.
- Support Sales to underwrite buyout offers and predict consignment recovery and capacity utilization.
- Build feedback loops for continuous price optimization and model refinement.
- Collaborate with Product and Ops to turn insights into high-impact pricing and sourcing actions.
Requirements
What You Bring
- 4–8+ years in data science, analytics, or preferably pricing within marketplaces, logistics, or asset-heavy environments.
- Strong modeling and experimentation skills (Python, SQL, Bayesian / probabilistic modeling).
- Comfort operating with limited data — capable of building and validating proxy-based models.
- Blend of technical depth and business intuition; fluent in assumptions, risk, and real-world tradeoffs.
- Curiosity for manufacturing, recommerce, and the circular economy.
Benefits
- Early-hire equity
- Best Medical / Dental / Vision plans
- Parental benefits
- Flexible PTO
- Various stipends
- Clear work-life boundaries
amplio (getamplio.com) Oakland, California, USA Office
Oakland, CA, United States
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Greet and register patients, manage check-in/check-out including insurance verification and pre-authorizations, collect payments and manage deposits, answer phones and schedule appointments, process walk-ins, maintain and scan medical records, handle requests for records release, and perform other related front-desk patient coordination tasks.
Top Skills:
Electronic Health Records (Ehr)MS Office
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Provide and coordinate skilled nursing care in patients' homes per physician orders and regulations. Conduct assessments (OASIS), develop and revise care plans, supervise aides/LPNs, document visits, communicate with physicians and care team, participate in quality improvement, on-call rotations, and precept/orient staff.
Fintech • HR Tech
In this role, you'll architect and manage distributed database systems, oversee complex migrations, optimize performance, and mentor engineers, driving operational excellence.
Top Skills:
AuroraAWSKafkaKubernetesMySQLPostgresRdsRedisS3Tidb
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


