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Offered Ai Jobs (NOW HIRING)

... offerings.AI monetization is a moving target. We believe models and packaging should evolve as ... value realization and customer sophistication grow, balancing adoption with disciplined price ...

$88 - $114/hr

... offerings.AI monetization is a moving target. We believe models and packaging should evolve as ... value realization and customer sophistication grow, balancing adoption with disciplined price ...

... offerings.AI monetization is a moving target. We believe models and packaging should evolve as ... value realization and customer sophistication grow, balancing adoption with disciplined price ...

AI Governance Advisor

$170K - $180K/yr

About the Role In addition to enabling AI Governance through Credo AI's global, market leading Platform, our team of AI Governance Advisors offer a transformative experience for current and aspiring ...

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools ... What We Offer We offer a comprehensive benefits package designed to support your well-being, growth ...

AI Scientist

Warsaw, IN · On-site

$150 - $230/hr

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools ... What We Offer We offer a comprehensive benefits package designed to support your well-being, growth ...

Senior Product Manager, Edge AI CPU

Austin, TX · On-site

$125K - $165K/yr

Analyze market trends, competitive CPU offerings, AI workloads, software ecosystems, and emerging opportunities to shape product strategy and roadmap decisions. * Develop product messaging ...

AI Analyst

Mountain View, CA · On-site

$110 - $170/hr

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California ... We offer market-leading compensation, based on the skills and aptitude of the candidate. To learn ...

The estimated range does not include the value of any benefits offered. About BigBear.ai BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply ...

About Distyl AI Distyl is an applied AI technology company partnering with the world's most ... What We Offer * The base salary range for this role is $150K - $250K, depending on experience ...

We're offering AI Engineer Internships in regions across the globe to help drive that shift directly, not by sitting in the back office, but by building. You'll work on two things: * Internal AI ...

About Traversal Traversal is the AI Site Reliability Engineer (SRE) for the enterprise--already ... Compensation We offer competitive compensation, startup equity, health insurance, and additional ...

What We Offer * Innovative culture: A generational opportunity to define the role of AI in one of the world's largest industries. * Growth paths: Opportunities to drive impact well beyond your ...

We're offering AI Engineer Internships in regions across the globe to help drive that shift directly, not by sitting in the back office, but by building. You'll work on two things: * Internal AI ...

Showing results 21-40

Offered Ai information

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$41

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How much do offered ai jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for offered ai in the United States is $41.66, according to ZipRecruiter salary data. Most workers in this role earn between $30.77 and $51.20 per hour, depending on experience, location, and employer.

What is an offered ai?

An Offered Ai job likely refers to a role involving artificial intelligence (AI) that has been proposed or made available by a company. These jobs can range from AI research and development to implementation and maintenance of AI systems. Positions may include machine learning engineers, data scientists, AI ethicists, or AI product managers. Responsibilities often involve designing, training, and optimizing AI models for various applications. Requirements typically include expertise in programming languages like Python, knowledge of machine learning frameworks, and experience with data analysis.

What are the key skills and qualifications needed to thrive as an AI (Artificial Intelligence) engineer, and why are they important?

To thrive as an AI Engineer, you need strong skills in programming (especially Python), mathematics (linear algebra, calculus, statistics), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, and certifications such as TensorFlow Developer or AWS Certified Machine Learning, are highly valuable. Exceptional problem-solving, collaboration, and communication skills help you work effectively in interdisciplinary teams and present complex concepts clearly. These skills and qualifications are essential for developing robust AI solutions, staying current with rapid technological advancements, and delivering impactful results.

What are some typical challenges faced by AI engineers working on offering AI solutions, and how can they overcome them?

AI engineers developing and implementing AI solutions often encounter challenges such as integrating AI models with existing systems, ensuring model accuracy in real-world scenarios, and maintaining data privacy. To overcome these, engineers collaborate closely with cross-functional teams, conduct thorough testing, and stay updated with the latest best practices in AI deployment. A proactive approach to continuous learning and open communication with stakeholders can help navigate technical and ethical hurdles, leading to more robust and effective AI offerings.
More about Offered Ai jobs

What cities are hiring for Offered Ai jobs?

Cities with the most Offered Ai job openings:

What states have the most Offered Ai jobs?

States with the most job openings for Offered Ai jobs include:

Infographic showing various Offered Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $86,661 per year, or $41.7 per hour.

AI Product Manager - Commercial Offerings

WebMD

Newark, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Job description

Description
Position at WebMD
Medscape, a division of WebMD, develops and hosts physician portals and related mobile applications that make it easier for physicians and healthcare professionals to access clinical reference sources, stay abreast of the latest clinical information, learn about new treatment options, earn continuing medical education credits and communicate with peers.
WebMD is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.
About Medscape
At Medscape, a division of WebMD, our mission is to improve patient care by empowering healthcare professionals with trusted clinical knowledge, tools, and learning experiences.
We are transforming Medscape into a daily-use, AI-powered clinical companion, helping clinicians stay up to date, make better decisions, and continuously build their expertise. Across web and mobile, we deliver evidence-based content, point-of-care tools, and interactive learning-now enhanced by AI to provide more contextual, personalized, and adaptive experiences, while maintaining the highest standards of clinical rigor and trust.
Role Overview:
We are looking for an AI Product Manager - Commercial Offerings to define and scale AI-powered capabilities that support supporter-facing products and commercial operations.
This role focuses on:
  • AI-enabled supporter offerings
  • Reporting, insights, and analytics
  • Content customization and campaign performance
  • Internal workflows that power supporter value

Mission:
Leverage AI to create scalable, differentiated commercial offerings while improving the efficiency and effectiveness of supporter-related processes.
Key Responsibilities:
Product Strategy & Commercial Alignment
  • Define and drive the roadmap for AI-enabled commercial offerings
  • Identify opportunities to enhance supporter value through AI-driven capabilities
  • Partner closely with sales, marketing, and client teams to align product strategy with market needs

Discovery & Prototyping
  • Lead discovery to gather insights from customers, stakeholders, and data analysis to identify new product opportunities, specifically exploring how AI can solve problems and create value
  • Take a hands-on approach to rapidly prototype concepts using open-source AI/GenAI tools
  • Validate concepts with internal teams and, where appropriate, with clients

Internal AI Use Cases (Primary Ownership)
  • Lead discovery and productization of AI use cases that improve:
    • Supporter-related workflows and operational efficiency
    • The ability to adapt, package, and deliver content in ways that increase engagement and commercial value
  • Enable transformation of internal capabilities into scalable, client-facing offerings, including new formats, reporting, and customization capabilities

Productization & Scaling
  • Translate validated use cases into:
    • Repeatable workflows
    • Scalable product features
    • Client-facing offerings
  • Ensure solutions are aligned with platform capabilities and reusable across teams

Collaboration & Platform Alignment
  • Partner with:
    • Platform product lead to ensure consistency and scalability
    • Adaptive Learning PM to align on shared capabilities and avoid duplication
    • AI/ML teams for implementation and optimization
  • Contribute to governance of shared AI capabilities across teams

Monetization & Performance
  • Define how AI capabilities contribute to revenue generation and differentiation
  • Ensure clear value articulation for commercial teams and clients
  • Track performance and impact of AI-enabled offerings

Success Metrics:
  • Revenue contribution from AI-enabled offerings
  • Adoption by commercial teams and clients
  • Efficiency gains in supporter-related workflows
  • Scalability and reuse of AI capabilities

Profile:
Who You Are:
  • Bachelor's degree in Computer Science or equivalent experience; strong understanding of LLMs and AI application architectures
  • 5+ years of product management experience, ideally in healthcare, adtech, martech, or B2B platforms, with experience building and scaling AI-powered products
  • Strong business and commercial acumen, with the ability to translate product capabilities into client value and revenue impact
  • Experience working closely with sales, marketing, and client-facing teams, and understanding how products support commercial success
  • Hands-on mindset with the ability to prototype and experiment using AI/GenAI tools to rapidly explore and validate opportunities
  • Experience identifying and productizing opportunities that improve operational efficiency and supporter-facing workflows
  • Strong product discovery skills, with the ability to gather and synthesize insights from stakeholders, clients, and data
  • Data-driven mindset with experience analyzing performance metrics, running experiments, and evaluating AI feature impact
  • Comfortable working in cross-functional Agile environments, coordinating across product, engineering, data science, and business teams
  • Excellent communication skills, including the ability to translate complex AI capabilities into clear business and client value propositions
  • Ability to manage multiple initiatives while maintaining focus on high-impact, revenue-aligned priorities
  • Strategic and entrepreneurial mindset, particularly in identifying scalable, monetizable opportunities
Preferred Qualifications:
  • Experience in healthcare, life sciences, or pharmaceutical commercial environments
  • Experience with AI/ML domains such as LLMs, NLP, or data-driven insights platforms
  • Familiarity with content production workflows, reporting systems, or campaign performance analytics
  • Understanding of data privacy, compliance, and ethical considerations in AI-driven commercial products
  • Experience working across global markets (US, EU, LATAM)

Reporting:
  • Solid line: Head of Medscape Education Product
  • Dotted line: Head of Medscape Education AI Strategy
Salary range:
  • $125,000 - $150,000

Bonus Eligible: This position is also eligible for a discretionary company bonus, based upon business results.
Benefits:
  • Employees in this position are eligible to participate in the company sponsored benefit programs, including the following within the first 12 months of employment:
  • Health Insurance (medical, dental, and vision coverage)
  • Paid Time Off (including vacation, sick leave, and flexible holiday days)
  • 401(k) Retirement Plan with employer matching
  • Life and Disability Insurance
  • Employee Assistance Program (EAP)
  • Commuter and/or Transit Benefits (if applicable)

Eligibility for specific benefits may vary based on job classification, schedule (e.g., full-time vs. part-time), work location and length of employment.