Senior Technical Program Manager (See & Spray)

Blue River Technology; Santa Clara (CA); Sur place; USD 140 000 - 210 000; Plein temps

Résumé du poste

Blue River Technology seeks a Senior Technical Program Manager to own the processes, tools, and systems that enable our software releases and field deployments. You will support robotics development, CVML model work, and internal tooling infrastructure critical to mission teams.

Lead end-to-end delivery of complex programs, define milestones, and manage data-feedback loops to ensure timely customer value while maintaining risk-aware, auditable SDLC processes across teams.

Qualifications

• 8+ years of experience in technical program management or systems engineering.
• Experience managing cross-organizational dependencies without direct authority.
• Strong ability to define metrics and dashboards to drive decisions.
• Experience with autonomous systems, ML pipelines, OTA updates, and field deployments.

Responsabilités

• Own end-to-end delivery of complex robotics programs.
• Develop and maintain program schedules for ML and robotics workflows.
• Identify and mitigate technical risks across ML, hardware, and software.
• Coordinate across engineering, product, and field operations to ensure timely releases.

Connaissances

Jira

GitHub

Dashboards

Risk matrices

AI agents

Formation

BS/MS in Engineering/CS

Outils

CI/CD

DevOps practices

Description du poste

• We are seeking a Senior Technical Program Manager to own the processes, tools, and systems that enable our software releases and field deployments
• This is not a role where you manage a single product release — you will support Robotics development (RSW), Computer Vision Machine Learning (CVML) model development, and internal tooling infrastructure that all mission-based teams depend on
• You will help ensure our release pipeline runs on a predictable cadence and that our data-collection feedback loops are automated and reliable, delivering features to customers in a timely manner
• Program leadership:
• Own end-to-end delivery of complex robotics programs spanning perception and application software
• Develop and maintain program schedules that account for the inherent uncertainty of ML development, including experimentation, data collection cycles, and model evaluation
• Define program structure, milestones, definitions, and exit criteria in collaboration with engineering leads – including what “good enough to ship” means
• Technical risk management:
• Identify technical risks proactively, beyond status reports, from understanding what is being built and what can go wrong
• Distinguish between ML performance risks (model performance targets), hardware risks (camera development, sensor data and actuator reliability), system integration risks (latency, VPU timing), and data risks (managing shifts between training and deployment environments)
• Specific missions focus and cross-functional coordination:
• Support current Over-the-Air update infrastructure while helping identify/resolve issues to increase overall customer and dealer trust in the technology
• Manage data collection cycles spanning the data pipeline, hardware deployment, field engineering coordination, and simulation tools to deliver high-quality ML and robotics models
• Accelerate the model development loop by ensuring faster feedback loops to enable a self-sustaining pipeline

This role requires someone who can drive cross-organizational alignment across engineering, product, and field operationsExperience managing cross-organizational dependencies without direct authority over the teams involved. Expert at finding the right escalation pointsBS or MS in Engineering, Computer Science, or a related technical fieldStrong systems thinking ability to understand how changes in one part of the stack (new sensor, model update, firmware/middleware change) ripple through the restDemonstrated ability to deploy the right tools (Jira, GitHub, risk matrices, dashboards, AI agents) to match the program’s complexityStrong written and verbal communication skills with the ability to present to executive leadership8+ years of experience in technical program management, systems engineering, or a related technical role. 2 years minimum in a robotics or ML-intensive product environmentTrack record of defining metrics, standing up dashboards, and using data to drive decisionsStrong technical acumen—ability to read architectural diagrams, write specs and test plans, and go deep on engineering issues when neededIf you’re excited about this role but your experience doesn’t align completely with the job description, we encourage you to apply anywayExperience in autonomous systemsFamiliarity with machine learning model development and deployment pipelinesExperience with HIL/SIL/XIL test infrastructure or V and V processes for safety-critical systemsExperience with OTA update systems, field deployment logistics, or dealer- and customer-facing technical programsDemonstrated ability to own and improve SDLC processes across multiple teams. Experience with CI/CD pipelines, test automation frameworks, and DevOps practicesKnowledge of data collection pipelines, log management systems, and data governance