Senior Staff Technical Product Manager (AI Service Intelligence)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Location: Fremont, California, or remote within the United States; remote work is not available in New York City. Occasional in-person collaboration and travel are required.
Salary: $160,000β$192,500 annual base salary; California base salary range: $176,000β$211,750, plus eligibility for an annual performance bonus.
Company
is an automotive company developing electrified, digitally enabled pickup trucks and rugged SUVs.
What you will do
- Define the strategy and foundational capabilities for a confidential backend intelligence platform supporting retail and service operations.
- Model operational signals, constraints, dependencies, and policies into automated decision logic and machine-assisted frameworks.
- Lead end-to-end development of a complex platform from 0-to-1 definition through launch and scale.
- Partner with Engineering, Data Analytics, AI/ML, IT, Operations, and Scrum teams on data models, integrations, decision flows, and output generation.
- Define rollout strategies, guardrails, fallback behaviors, manual overrides, monitoring, and operating models for the pre-launch platform.
- Own live decision quality by tuning rules, thresholds, and AI-driven frameworks while addressing edge cases and unintended outcomes.
Requirements
- 12+ years of product management experience focused on technical platforms, complex systems, or decisioning engines.
- Experience with AI/ML technologies and leading 0-to-1 products in pre-launch, startup, or transformation environments.
- Strong understanding of distributed systems, APIs, data architectures, real-time processing, rules engines, optimization, and decision frameworks.
- Experience owning backend or platform products where value is delivered through system behavior and decision quality rather than user interfaces.
- Ability to define complex logic and decision flows, evaluate accuracy, speed, explainability, and scalability tradeoffs, and influence senior stakeholders.
- Bachelorβs degree in Computer Science, Engineering, Mathematics, or a related field; an AI-related certification is required.
Nice to have
- Advanced technical degree or MBA.
Culture & Benefits
- Opportunity to build new products and company capabilities from the ground up.
- Medical, dental, vision, and income protection plans.
- 401(k) program with employer match and immediate vesting.
- 20 days of planned PTO, 40 hours of unplanned PTO, and 14 company or floating holidays annually.
- Up to 16 weeks of paid parental leave, plus paid leave for bereavement, jury duty, voting time, and military leave.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β