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About This Role
Description
AI Product Manager
Please note that this is a contract role providing services to Microsoft through external staffing partners of Allegis Global Solutions. If you are selected for this role, you will be employed by AGS and will not be an employee of Microsoft.
Summary:
We are seeking a technically oriented AI Product Manager to support the day-to-day delivery and operations of a business-critical enterprise application supporting cloud infrastructure and capacity deployment. This role will partner closely with business stakeholders, engineering teams, and product leadership to translate business needs into actionable product requirements and ensure features and operational improvements move successfully from requirements through development, testing, release, and production support.
The successful candidate will provide hands-on ownership across business analysis, functional requirements, backlog management, testing and User Acceptance Testing (UAT), production issue triage, incident coordination, and release communications. This position requires a strong technical foundation, excellent stakeholder management skills, and experience working across the end-to-end software development lifecycle. This is an onsite position in Redmond, WA, operating Monday through Friday, 40 hours per week.
Job Responsibilities:
- Partner with business stakeholders to gather, clarify, document, and prioritize business and functional requirements.
- Translate business needs into clear functional requirements, user stories, acceptance criteria, process flows, and actionable specifications for engineering teams.
- Manage feature requests and operational improvements throughout the software delivery lifecycle, including requirements, backlog tracking, development coordination, validation, UAT, sign-off, and production release.
- Maintain and prioritize product backlogs using Azure DevOps or similar work-item management platforms.
- Coordinate with software development teams to clarify requirements, track delivery progress, resolve blockers, and ensure solutions meet business needs.
- Perform initial functional validation of new capabilities and enhancements in sandbox or test environments before business UAT.
- Plan and coordinate User Acceptance Testing, including test readiness, stakeholder participation, issue tracking, feedback documentation, and business sign-off.
- Provide day-to-day support for enterprise application users by triaging questions, investigating issues, coordinating troubleshooting, and driving problems through resolution.
- Monitor and coordinate production incidents, maintaining clear ownership, status communications, action tracking, and stakeholder follow-up.
- Support production deployments and prepare clear release communications to ensure business users understand newly delivered capabilities and changes.
- Maintain accurate records of requirements, backlog items, issues, decisions, risks, owners, and outstanding action items.
- Prepare for recurring business reviews by developing status information, tracking commitments, documenting decisions, and following up on open actions.
- Communicate effectively across technical and non-technical audiences, ensuring alignment between business stakeholders and engineering teams.
- Identify opportunities to improve product operations, delivery processes, documentation, testing, and overall user experience.
Requirements:
- 2-4 years of experience in technical product management, technical program management, business analysis, software delivery, enterprise application support, or a related technical discipline.
- Bachelor's degree in Computer Science, Computer Engineering, Engineering, or a related technical field required.
- Strong understanding of the end-to-end software development lifecycle, from requirements gathering through development, testing, UAT, deployment, and production support.
- Experience gathering business requirements and translating them into functional requirements, user stories, acceptance criteria, and process flows.
- Experience managing feature requests, enhancements, or operational work through a software delivery lifecycle.
- Hands-on experience coordinating functional testing and User Acceptance Testing (UAT), including issue tracking and business sign-off.
- Experience supporting enterprise applications and triaging business-user or production issues.
- Experience coordinating with engineering teams on incident investigation, troubleshooting, and issue resolution.
- Experience using Azure DevOps or similar backlog, work-item, or software delivery management tools.
- Strong stakeholder management skills with the ability to collaborate across business and engineering organizations.
- Excellent written and verbal communication skills with the ability to clearly communicate requirements, issues, risks, decisions, and release information.
- Strong organizational and follow-through skills with the ability to independently manage multiple workstreams and open action items.
- Ability to learn complex business processes quickly and translate them into actionable product or technical requirements.
- Experience with incident-management systems and structured production support processes is preferred.
- Cloud infrastructure, capacity management, or supply chain experience is preferred.
- PMP, PMI, or related project/program management certification is preferred.
Additional Details:
- Location: Redmond, WA (Onsite, 5 days per week)
- Duration: Through June 30, 2027
- Pay Range*: $57.00 - $62.00 per hour
- Weekly Schedule: 40 hours
- Work Schedule: Monday-Friday
- Overtime: Not anticipated
- Job Status: Non-Exempt
- Potential for Extension: Yes, based on business need, budget availability, and performance.
- Interview Process: Technical assessment focused on product management, program management, software delivery, and technical knowledge.
- Application Deadline: Apply within 72 hours of the posting date to ensure consideration.
This role is eligible for the following benefits:
- Medical, dental & vision
- Hospital plans
- 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
- Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents)
- Company paid short and long-term disability
- Health & Dependent Care Spending Accounts (HSA & DCFSA)
- Employee Assistance Program
- Time Off/Leave (PTO, Allegis Group Paid Family Leave, Parental Leave)
Benefits are subject to change and may be subject to specific elections, plan, or program terms.
AGS is an Equal Opportunity Employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information, or any characteristic protected by law.
If you require a reasonable accommodation related to the application or interview process due to a disability, please email [email protected]*. This inbox is monitored solely for accommodation requests. For questions about open roles or to apply, please submit your application through the job posting, as this inbox is not monitored by recruiters and applications sent here will not be reviewed.*
In accordance with the Immigration Reform and Control Act of 1986, employment is contingent upon verification of identity and authorization to work in the United States. All persons hired will be required to complete Form I-9 and provide acceptable documentation as required by law.
Please note that we may use artificial intelligence (AI) tools to screen, assess, or select applicants for this position. These tools may analyze application materials and assist our team in identifying candidates whose qualifications best match the requirements of the role. If you have questions about our use of AI in the hiring process, or would like more information, please contact us.
We reserve the right to pay above or below the posted wage based on factors unrelated to protected classifications.
Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.
Salary Context
This $118K-$128K range is in the lower quartile for AI Product Manager roles in our dataset (median: $194K across 123 roles with salary data).
View full AI Product Manager salary data →Role Details
About This Role
AI Product Managers define what AI features get built and why. They translate business problems into ML-solvable tasks, work with engineering to scope model requirements, and own the metrics that determine if an AI feature is working. The role requires a rare combination of technical fluency and product instinct.
Unlike traditional product management, AI PM work involves managing uncertainty at a fundamental level. Your model might work 90% of the time. What happens the other 10%? What's the user experience when the AI is wrong? How do you measure 'good enough' for a probabilistic system? These questions don't have easy answers, and the AI PM is the person responsible for finding them.
Across the 9,079 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At Microsoft, this role fits into their broader AI and engineering organization.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
What the Work Looks Like
A typical week includes: reviewing model evaluation results with the ML team, defining success metrics for a new AI feature, conducting user research on how customers respond to AI-generated outputs, writing product requirements that include accuracy thresholds and fallback behaviors, and presenting the AI roadmap to leadership. You're the translator between technical capability and business value.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
Skills Required
Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.
The differentiator is AI-specific product thinking: knowing when to use ML vs. heuristics, understanding the cost of training data collection, designing graceful degradation for model failures, and building products that improve with usage data. Experience with AI safety, bias mitigation, and responsible AI deployment is increasingly important.
Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
Compensation Benchmarks
AI Product Manager roles pay a median of $220,200 based on 947 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $193,200. This role's midpoint ($123K) sits 44% below the category median. Disclosed range: $118K to $128K.
Across all AI roles, the market median is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. For comparison, the highest-paying categories include AI Safety ($256,000) and Research Engineer ($252,000). By seniority level: Entry: $111,000; Mid: $193,200; Senior: $229,300; Director: $272,300; VP: $235,830.
Microsoft AI Hiring
Microsoft has 62 open AI roles right now. They're hiring across AI/ML Engineer, AI Product Manager, AI Software Engineer, Research Scientist. Positions span New York, NY, US, Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia, Redmond, WA, US. Compensation range: $128K - $331K.
Location Context
Across all AI roles, 6% (531 positions) offer remote work, while 8,478 require on-site attendance. Top AI hiring metros: New York (3,078 roles, $221,000 median); San Francisco (2,646 roles, $261,000 median); Los Angeles (1,486 roles, $210,000 median).
Career Path
Common paths into AI Product Manager roles include Product Manager, Data Analyst, Technical Program Manager.
From here, career progression typically leads toward Director of AI Product, VP Product, Head of AI.
The most effective path is PM experience plus self-directed AI education. Take Andrew Ng's courses, build a small ML project, and learn enough Python to read model evaluation code. The goal isn't to become an ML engineer. It's to have credibility in technical conversations and to understand what's possible, what's hard, and what's a bad idea.
What to Expect in Interviews
AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.
When evaluating opportunities: Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
AI Hiring Overview
The AI job market has 9,079 open positions tracked in our dataset. By seniority: 106 entry-level, 4,384 mid-level, 3,343 senior, and 1,246 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (531 positions). The remaining 8,478 roles require on-site or hybrid attendance.
The market median for AI roles is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. Highest-paying categories: AI Safety ($256,000 median, 66 roles); Research Engineer ($252,000 median, 457 roles); AI Engineering Manager ($251,622 median, 55 roles).
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
The AI Job Market Today
The AI job market spans 9,079 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (6,862), AI Product Manager (453), AI Software Engineer (451). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (106) are outnumbered by mid-level (4,384) and senior (3,343) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 1,246 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (531 positions), with 8,478 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $213,000. Top-quartile roles start at $263,911, and the 90th percentile reaches $318,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $256,000 median, while Prompt Engineer roles sit at $141,440. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,649 postings), Aws (898 postings), Azure (723 postings), Rag (671 postings), Gcp (536 postings), Pytorch (434 postings), Claude (410 postings), Kubernetes (406 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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