Senior Product Manager, Anti Money Laundering AI

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in product management or related technical role.
  
• 8 years of product management experience in a machine learning space.
• 3 years of experience taking technical products from conception to launch.
  

Preferred qualifications:

• 3 years of people management experience with direct reports, and in technical leadership.
  
• Experience in risk and compliance or anti-financial crime.
• Experience driving product vision and design, strategic product roadmaps and key elements of the product development lifecycle such as product proposals, GTM strategy, requirements definition, product launch and customer adoption.
• Experience delivering enterprise products at scale and managing product solutions with multiple cross-functional stakeholders.
• Expertise in AI/ML quality evaluation and improvement, including balancing tuning techniques with cost/benefit tradeoffs.

About the job

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

Come help us fight financial crime. We are leading the financial services industry into an AI/ML age, uncovering vast amounts of previously undetected crime while reducing our customer's costs.

As a member of the Risk AI team you will help drive our product direction, challenge our assumptions and approaches, and help us work on financial crime in novel ways.

Our launch of Anti-Money Laundering AI was our first foray into helping our Cloud customers fight financial crime, our upcoming experiments will benefit greatly from the voices of a cross-functional team with a variety of related experiences.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

For United States Only:

The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Support early adopter customers plan and execute successful pilots which will span months and involve dozens of customer, partner, and Google team members.
• Participate in detailed product discussions with customers who are experts in investigating financial crime.
• Drive product adoption by delivering compelling pitches to financial executives and guide complex, multi-month pilot programs.
• Craft PRDs to communicate product requirements ensuring all features align with robust risk and governance principles necessary in a heavily regulated industry.
• Collaborate with leading data scientists, analyze competitors, present to C-suite audiences, and uncover new partnership opportunities.