AI Advisor Jobs
AI Advisor jobs are open across technology, financial services, healthcare, and consulting, from early-career to senior and principal levels, with specializations in enterprise AI strategy, model governance, and responsible AI. Find a role that fits below and apply directly.
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Showing 5 of 330+ AI Advisor jobs
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Kirkland, WA, USA; New York, NY, USA.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in product management or related technical role.
- 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
- 1 year of experience working in Adtech products.
- Experience integrating generative AI tools or LLM interfaces into workflows.
- Experience shipping AI-powered, conversational, or machine learning products.
Preferred qualifications:
- Master's degree in a technology or business related field.
- 3 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
- 3 years of experience in a role preparing and delivering technical presentations to senior leadership.
- 2 years of experience in software development or engineering.
- 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
- 1 year of experience in technical leadership.
About the job
The Infrastructure & Experiences team delivers a reliable, helpful, and low-latency product experience for advertisers and internal Ads clients by providing the data, scaled tooling, and conversational assistance they need to achieve their business outcomes.
This role sits on the Ask Advisor team, which builds Google's AI agent for advertisers. Inside Google Ads, hundreds of thousands of advertisers use Ask Advisor every month to understand performance, fix problems, and make changes to their accounts with their approval. Feature teams across Google Ads contribute skills to it, from campaign creation and creatives to billing, policy, and reporting.
We are now extending Ask Advisor beyond Google Ads into one advisor that works across Google's advertising and commerce products, including Merchant Center and Google Analytics, so a business can start anywhere and get help everywhere. This PM owns the Google Ads experience and helps lead the journeys that span products.
Advertisers don't want another dashboard. They want a partner that knows their business, tells them what matters, and gets the work done. Ask Advisor is Google's AI agent for advertisers. Inside Google Ads, hundreds of thousands of advertisers use it monthly to understand performance, fix problems, and make changes with their approval.
You own the Google Ads experience of that advisor and help lead the journeys that span products.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Own the vision, strategy, and roadmap for Ask Advisor in Google Ads, the AI agent that helps advertisers understand performance, fix problems, and take action.
- Partner with Merchant Center, Google Analytics, and Support teams to build one advisor that carries context across products.
- Prioritize journeys advertisers cannot complete today, such as campaign creation, account verification, conversion tracking, and troubleshooting, and take them from insight to completed action.
- Grow the share of requests the agent completes end-to-end, with previews, approvals, and undo and make it proactive.
- Define a shared quality bar for agent journeys, and measure engagement and advertiser outcomes with Data Science and UX Research.
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Kirkland, WA, USA; New York, NY, USA.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in product management or related technical role.
- 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
- 1 year of experience working in Adtech products.
- Experience integrating generative AI tools or LLM interfaces into workflows.
- Experience shipping AI-powered, conversational, or machine learning products.
Preferred qualifications:
- Master's degree in a technology or business related field.
- 3 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
- 3 years of experience in a role preparing and delivering technical presentations to senior leadership.
- 2 years of experience in software development or engineering.
- 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
- 1 year of experience in technical leadership.
About the job
The Infrastructure & Experiences team delivers a reliable, helpful, and low-latency product experience for advertisers and internal Ads clients by providing the data, scaled tooling, and conversational assistance they need to achieve their business outcomes.
This role sits on the Ask Advisor team, which builds Google's AI agent for advertisers. Inside Google Ads, hundreds of thousands of advertisers use Ask Advisor every month to understand performance, fix problems, and make changes to their accounts with their approval. Feature teams across Google Ads contribute skills to it, from campaign creation and creatives to billing, policy, and reporting.
We are now extending Ask Advisor beyond Google Ads into one advisor that works across Google's advertising and commerce products, including Merchant Center and Google Analytics, so a business can start anywhere and get help everywhere. This PM owns the Google Ads experience and helps lead the journeys that span products.
Advertisers don't want another dashboard. They want a partner that knows their business, tells them what matters, and gets the work done. Ask Advisor is Google's AI agent for advertisers. Inside Google Ads, hundreds of thousands of advertisers use it monthly to understand performance, fix problems, and make changes with their approval.
You own the Google Ads experience of that advisor and help lead the journeys that span products.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Own the vision, strategy, and roadmap for Ask Advisor in Google Ads, the AI agent that helps advertisers understand performance, fix problems, and take action.
- Partner with Merchant Center, Google Analytics, and Support teams to build one advisor that carries context across products.
- Prioritize journeys advertisers cannot complete today, such as campaign creation, account verification, conversion tracking, and troubleshooting, and take them from insight to completed action.
- Grow the share of requests the agent completes end-to-end, with previews, approvals, and undo and make it proactive.
- Define a shared quality bar for agent journeys, and measure engagement and advertiser outcomes with Data Science and UX Research.
AI Advisor Jobs by Experience Level
See All 330+ AI Advisor Jobs
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Find AI Advisor JobsAI Advisor Job Market
Who's Hiring
- Booz Allen Hamilton20
- JPMorganChase11
- Johns Hopkins University Applied Physics Laboratory9
- Kirkland & Ellis6
- University of San Diego6
Top Industries Hiring
- Technology & Software11
- Education8
- Banking & Financial Services5
- Healthcare & Medical Services5
- Insurance3
What Employers Look For
The qualifications that appear most often in AI advisor jobs.
- Demonstrated experience advising organizations on AI strategy, adoption, or governance
- Proficiency with large language models, machine learning frameworks, or AI platform tools
- Strong stakeholder communication skills, including presenting technical concepts to non-technical executives
- Bachelor's or master's degree in computer science, data science, or a related technical field
- Familiarity with responsible AI principles, model risk management, or AI ethics frameworks
- Experience working cross-functionally with product, engineering, legal, and business teams
Tips for Your AI Advisor Job Search
Tailor your resume to AI use cases
Hiring managers for ai advisor roles want to see specific AI initiatives you've shaped, not just tools you've used. Name the business problem, the AI approach you recommended, and the measurable outcome. Generic 'AI experience' entries get skipped.
Distinguish advisory from engineering on paper
AI advisor job descriptions often blur with AI engineer or data scientist roles. Frame your resume around decisions you influenced and stakeholders you guided, not code you wrote, so recruiters place you in the right pile from the start.
Get a recognized AI certification before applying
Credentials from Google Cloud, Microsoft Azure AI, or AWS machine learning programs appear frequently in ai advisor postings. Earning one before you apply signals baseline technical fluency to hiring managers who screen by keyword before reading further.
Apply early to roles that fit
Migrate Mate lists ai advisor openings from across the United States in one place, so you can find roles that match your background and apply directly to each listing without sorting through unrelated results.
Filter by industry to sharpen your targeting
AI advisory work looks different in healthcare than in fintech or manufacturing. Decide which domain your experience maps to best, then search within that sector. A focused application referencing industry-specific AI regulations and use cases outperforms a broad one every time.
Prepare a decision-scenario answer for interviews
AI advisor interviews frequently include a scenario question: a business team wants to deploy a model and you have concerns about bias or feasibility. Rehearse a structured answer covering your assessment approach, stakeholder communication, and how you'd frame a go or no-go recommendation.
AI Advisor Jobs: Frequently Asked Questions
Which companies are hiring the most ai advisors?
Booz Allen Hamilton, JPMorganChase, and Johns Hopkins University Applied Physics Laboratory are hiring the most ai advisors right now, with openings concentrated in California, Virginia, and Texas, based on current listings on Migrate Mate as of November 2026. Demand is especially strong at large technology firms, management consulting practices, and financial institutions building out enterprise AI programs.
How many ai advisor jobs are remote?
About 60% of ai advisor openings are fully remote or hybrid as of November 2026, reflecting strong demand for advisory work that can be delivered without a fixed office. Roles focused on AI strategy development and model governance tend to be the most remote-friendly, while positions requiring hands-on collaboration with on-site engineering teams more often require in-person presence.
How do you become a ai advisor?
Start by building deep familiarity with at least one AI domain, such as natural language processing, computer vision, or predictive analytics, through hands-on projects or formal training. Earn a recognized AI or cloud certification to validate technical fluency. Then move into roles that blend technical and strategic work, such as AI product management or machine learning consulting, where you advise stakeholders rather than only build models. Specializing in a specific industry and studying AI governance frameworks accelerates the transition to a dedicated advisory role.
Can you get hired as an ai advisor without direct experience?
Yes, but you need to reframe experience you already have. Strong candidates without a formal ai advisor title often come from adjacent roles in data science, enterprise software consulting, or digital transformation. Demonstrating that you've influenced an AI-related business decision, even informally, carries weight. Building a concise portfolio showing one or two advisory engagements, a risk assessment, or a governance recommendation you authored helps close the experience gap convincingly.
What does the ai advisor interview process look like?
Most ai advisor interviews run three to four stages. A recruiter screen assesses your background and communication style. A technical panel tests your knowledge of AI concepts, tools, and current model risks without necessarily requiring you to code. A case study or scenario round presents a realistic business problem and asks you to walk through your advisory approach. Final rounds typically include a conversation with senior leadership focused on your ability to influence strategic decisions and manage organizational change.
Where can I find and apply to ai advisor jobs?
You can find and apply to ai advisor jobs on Migrate Mate, which lists current openings from across the United States in one place. Search for roles that match your experience level and industry focus, then apply directly to each listing that fits. No intermediaries, no waiting.
See All 330+ AI Advisor Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Advisor Jobs