Note: The job is a remote job and is open to candidates in USA. Centaur AI provides data labeling solutions for healthcare and life sciences AI. The Senior Sales Engineer (Partnerships) serves as the technical owner of partner projects, coordinating requirements, dataset quality control, data delivery, and cross-functional execution.
Responsibilities
- Scope, set up, and serve as the technical contact when a partner buys annotation, evaluation or benchmarks from Centaur
- Review datasets against customer requirements with minimal oversight. Help build a robust, repeatable QC process, coordinating de-identification, clinician review, and deeper Quality Assurance as needed
- Execute and manage data delivery with minimal oversight, working directly in AWS, GCP, Azure, and SFTP to move large volumes of data. Verify completeness and integrity before anything is sent
- Expertly communicate to technical and non-technical audiences, including sharing customer feedback, and work hands-on with partners, Operations, and Engineering to drive revisions and the sending and technical receipt of data
- Review the technical scope in both customer and partner contracts, support the technical documentation of that scope, and work with Sales, the Head of Partnerships, and Legal to resolve mismatches before execution
Skills
- US citizen/visa only
- Bachelor's degree in Engineering, Computer Science, Life Sciences, or a related field, or equivalent experience
- 5+ years of demonstrated, hands-on technical experience in a client-facing role such as solutions or sales engineering, technical project or program management, or data operations
- Proven project management experience: Has run multiple technical projects simultaneously, owning timelines, stakeholders, and handoffs with little to no oversight
- Strong presentation skills, including leading live demos, and comfortable in client-facing roles
- Success serving as the technical point of contact for customers or partners, including handling their feedback directly
- Experience in data annotation, dataset curation, or model eval required
- U.S. citizens and those authorized to work in the U.S. are encouraged to apply
- Preferably in a fast-paced environment
- Healthcare related experience, a plus
- Healthcare data, a plus
- Moving large volumes of data between systems with little to no oversight, including S3, GCP, Azure, and SFTP, and verifying integrity with checksums and manifests
- SQL and scripting (for example Python or shell) to inspect, validate, and package data
- Reviewing datasets against specifications and building or improving QC processes
- Translating between technical and non-technical stakeholders, including handling quality feedback from annotation, evaluation and data purchasers
- Reviewing contracts and SOWs to check technical scope, with familiarity with data licensing, usage rights, and HIPAA de-identification
- Experience with BAAs or DUAs is a plus
- Strong organization and independence: you can run many open deals and deliveries at once and keep records current
- Strongly Preferred: familiarity with healthcare data types and standards (DICOM, EHR, claims, HL7, FHIR)
Benefits
- Equity
- Health insurance
- 401k plan
- Professional development stipend
- Partially reimbursed coworking space
- Four weeks of paid vacation
- 11 annual paid holidays
- Generous parental leave (transitioning unlimited/responsible PTO in Jan 2027)
- Remote first with consistent team interaction and onsites
Company Overview