Senior Staff Product Manager

Mountain View, CA, US • Posted 4 days ago • Updated 4 days ago
Contract W2
2 Months
On-site
$128.02/hr
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Summary

Our client, a leading technology company, is seeking a Senior Staff Product Manager.

Apply today for consideration!

Job Title: Senior Staff Product Manager
Location: Mountain View, CA – Hybrid (3 days onsite required)
Duration: 2 Months Contract
Pay range: $120 to $125 per hour (DOE)
 
Job Description:
  • Lead AI-native product initiatives focused on accelerating workflows for Product Managers, Designers, and Researchers across the product development lifecycle.
  • Drive end-to-end product strategy, roadmap, and execution for AI-powered tools and agent-driven workflows.
  • Identify high-impact opportunities through user research, competitive analysis, and emerging AI ecosystem trends.
  • Build and scale AI-native capabilities that improve problem discovery, product definition, prototyping, validation, and delivery.
  • Partner cross-functionally with Product, Design, Research, Engineering, Data Science, Legal, Privacy, and Platform teams.
  • Translate evolving AI and agentic technology trends into scalable, high-leverage product investments.
  • Develop secure, scalable, and trustworthy AI solutions with strong user adoption and measurable business impact.
  • Define success metrics and use data-driven decision-making to prioritize features, measure adoption, and track acceleration outcomes.
  • Anticipate strategic risks and proactively resolve execution challenges to maintain delivery momentum.
  • Foster a culture of experimentation, rapid iteration, learning, and bias toward action.
Qualifications:
  • 6+ years of Product Management experience, including building and launching 0-to-1 AI-driven products.
  • Strong expertise with AI tools and platforms including Claude and Cursor.
  • Deep understanding of AI-native workflows, agentic technologies, and productivity acceleration for PM and Design functions.
  • Proven ability to validate concepts through qualitative and quantitative experimentation.
  • Strong strategic thinking combined with hands-on execution capabilities.
  • Experience identifying and applying emerging AI technologies to solve customer and operational challenges.
  • Excellent communication, stakeholder management, and cross-functional influencing skills.
  • Demonstrated leadership and collaboration across Engineering, Data Science, Design, and Research teams.
  • Self-starter mindset with adaptability in fast-changing and ambiguous environments.
  • Comfortable working across multiple product domains and lifecycle stages.
 
Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.

Equal Employment Opportunity

Russell Tobin is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.
 
Fair Chance Employment
Russell Tobin is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances.
 
Accommodations
We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. 
 
Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.

#LI-GS3
#RTA
#RTA-ZR
 
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10427670
  • Position Id: 26-15951
  • Posted 4 days ago
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