Jobs
Program Manager
| Posted On: Mar 24, 2026
Menlo Park, CA 94025
6 Months, Contract
Completely Remote
Job Summary
- Job Title:
- Program Manager
- Posted Date:
- Mar 24, 2026
- Duration:
- 6 Months, Contract
- Shift(s):
-
08:00 - 16:00 PST
- Salary ($):
- 80.00 - 85.00 per Hourly (compensation based on experience and qualifications)
- We care about you! Explore Rangam’s benefits information
Talk to our Recruiter
- Name:
- Bishwaroopa Singh
- Email:
- Bishwaroopa@rangam.com
- Phone:
- 425-264-4490
Description
Product operations analyst / manager
Top 3 must-have HARD skills:
- Must have several years of AI experience
- Must have prior product or engineering operations experience
- Must have prior experience with innovation processes
Good to have skills:
- Experience in a software or, preferably a hardware company with consumer electronics
- Strong communication and collaboration skills: go getter personality
- Prior Client experience is an asset
Summary:
- We are looking for a Technology Operations & AI Automation Program Manager to transform our technology innovation operations.
- This role manages the end-to-end operational processes that track, report on, and govern our technology portfolio — and then systematically automates those processes using AI.
- This role will work closely with hardware engineering leads, program managers, product managers, business operations, and finance teams to transform a manual, labor-intensive operations function and make it self-sustaining through intelligent automation.
- You will start by running the operations, then progressively replace manual workflows with AI-driven pipelines until the process largely runs itself.
Minimum Qualifications
- 5+ years of experience in product or technology operations, engineering operations, or program management in a hardware or technology development environment Demonstrated experience building operational automation using AI/LLM tools (e.g., building AI agents, writing prompts and skills for LLM-based workflows, or deploying AI-assisted data pipelines)
- Experience designing data flows from intake to output — forms, databases, dashboards, and automated reports Track record of driving process adoption across engineering or cross-functional teams Strong communication skills
- Ability to translate operational data into actionable insights for both engineering teams and senior leadership Self-directed work style with comfort owning an entire operational domain independently
Preferred Qualifications
- Experience with stage-gate or milestone-based technology development processes (e.g., NPI, technology readiness levels, innovation pipelines) Familiarity with Client's internal tools and workflows
- Experience with portfolio management, budget forecasting, or program operations at scale in a hardware
- R&D organization Hands-on experience with AI application platforms, no-code/low-code database tools (e.g., AppSheet, Airtable), or AI-native development environments Background in wearable devices, AR/VR, consumer electronics, or related hardware domains
Job Day-to-Day Responsibilities
- Maintain and Automate Core Operations: Maintain and execute the existing operational process for a portfolio of 15–20 active technology innovation projects, using this hands-on execution to thoroughly document and prepare all existing workflows (including progress tracking, milestone reporting, stakeholder updates, and executive dashboards) for subsequent AI-driven automation.
- Design & Build the Automation Core: Architect, develop, and deploy AI-powered automation pipelines to systematically replace manual operational workflows (e.g., data reconciliation, status tracking, and report generation) for the technology innovation portfolio.
- Drive process adoption: Champion adoption of new automated processes across cross-functional hardware engineering teams, ensuring that new workflows are used effectively
- Deliver AI-generated insights: Provide leadership with regular, AI-generated insights on portfolio health, engineering investment efficiency, technology success rates, and resource forecasting