Product Operations Manager
Company: Tailored Management
Location: San Jose
Posted on: March 25, 2026
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Job Description:
Product Operations Manager Location: Fully remote (US) Pay:
Competitive Market Duration: Initial 6-month contract (expected
extensions/conversion) Schedule: Full-time, 40 hrs/week (MonFri)
Target Start: April/May 2026 Benefits: Medical, dental, vision,
401(k), paid vacation & sick leave Job Overview: 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.
Day-to-Day Responsibilities: Maintain and Automate Core Operations:
Maintain and execute the existing operational process for a
portfolio of 1520 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. Establish a Unified Data
Foundation: Consolidate fragmented data sources (spreadsheets,
databases, slide decks, chat threads) into a unified, automated
data intake and processing that serves as the central source of
truth for the organization. Implement Central Intelligence: Lead
the selection and implementation of an AI-augmented database
platform that serves as the central intelligence layer for the
technology 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
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 Metas 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 Pursuant to the California
Fair Chance Act, Los Angeles County Fair Chance Ordinance for
Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance,
and San Francisco Fair Chance Ordinance, qualified applicants will
be considered for assignment with arrest and conviction records.
Criminal history may have a direct, adverse, and negative
relationship with some of the material job duties of this position.
These include the duties and responsibilities listed above, as well
as the abilities to adhere to company policies, exercise sound
judgment, effectively manage stress and work safely and
respectfully with others, exhibit trustworthiness, meet client
expectations, standards, and accompanying requirements, and
safeguard business operations and company reputation. TM2
Keywords: Tailored Management, Petaluma , Product Operations Manager, IT / Software / Systems , San Jose, California
