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Ai Program Manager Jobs in Oregon (NOW HIRING)

About the Role As our Senior Outbound Program Manager , you will serve as a strategic architect ... AI can streamline prospecting. (For Recruiter use only) #LI-SS1 #LI-Remote

Identify and implement AI-driven solutions to enhance decision-making, streamline workflows, and ... The PPL M&A Program Manager will shadow the PPL M&A Director on deal activity to learn and develop ...

Demonstrated experience managing programs across the full software development lifecycle - from ... Experience managing AI, data platform, or systems integration deployments at enterprise scale.

Head of AI

OR · On-site +1

Ensure high-quality delivery across AI engagements, with strong governance, risk management, and stakeholder communication. * Standardize delivery methodology for AI programs (discovery, prototyping ...

Project/Program Management

Hillsboro, OR · On-site

$128K - $176K/yr

... our world - like AI and IoT. If you want to push the boundaries of materials science and ... Enterprise Program Management * Organizational Change Management * Strategic Workforce Planning ...

Showing results 41-60

Ai Program Manager information

See Oregon salary details

$40.7K

$113.6K

$166K

How much do ai program manager jobs pay per year?

As of Sep 3, 2026, the average yearly pay for ai program manager in Oregon is $113,616.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,100.00 and $140,100.00 per year, depending on experience, location, and employer.

What is an AI program manager?

An AI Program Manager is a professional responsible for overseeing and coordinating the planning, execution, and delivery of artificial intelligence projects within an organization. They work closely with data scientists, engineers, stakeholders, and business leaders to ensure AI initiatives align with business goals and are delivered on time and within budget. Their role often includes managing project timelines, resources, communication, and risk, while also keeping up with industry advancements and ensuring ethical AI practices. AI Program Managers bridge the gap between technical teams and business objectives, ensuring successful implementation of AI solutions.

What are some common challenges faced by AI program managers when coordinating cross-functional teams?

AI Program Managers often encounter challenges in aligning diverse teams—such as data scientists, engineers, product managers, and business stakeholders—toward shared project goals. Differences in technical backgrounds, communication styles, and priorities can lead to misunderstandings or delays. Successful AI Program Managers proactively facilitate clear communication, set well-defined milestones, and ensure that all team members understand the project's objectives and constraints. Building strong relationships across departments and maintaining adaptability are key strategies for overcoming these challenges.

What are the key skills and qualifications needed to thrive as an AI program manager, and why are they important?

To thrive as an AI Program Manager, you need expertise in project management, a strong understanding of AI concepts, and experience leading cross-functional teams, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks, cloud platforms, agile methodologies, and certifications such as PMP or Scrum Master are highly valuable. Excellent communication, problem-solving, and stakeholder management skills set standout professionals apart in this role. These abilities ensure projects are delivered on time, align with business goals, and effectively bridge the gap between technical and non-technical teams.

What is the difference between Ai Program Manager vs Data Scientist?

AspectAi Program ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience in AI projectsBachelor's/Master's/PhD in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentOversees AI projects, collaborates with cross-functional teams, manages timelinesAnalyzes data, develops models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require technical expertise, the Ai Program Manager focuses on overseeing AI initiatives and project management, whereas the Data Scientist concentrates on data analysis and model development. The roles often collaborate but serve different functions within AI projects.

How much does an AI program manager make?

An AI program manager's salary typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas can earn higher compensation, often including bonuses and stock options. Strong project management skills and knowledge of AI tools are important for this role.

What are popular job titles related to Ai Program Manager jobs in Oregon?

For Ai Program Manager jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Ai Program Manager jobs in Oregon look for?

The top searched job categories for Ai Program Manager jobs in Oregon are:

What cities in Oregon are hiring for Ai Program Manager jobs?

Cities in Oregon with the most Ai Program Manager job openings:

Infographic showing various Ai Program Manager job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $113,616 per year, or $54.6 per hour.

Senior Outbound Program Manager

Tebra

OR • On-site, Remote

Full-time

Re-posted 11 days ago


Job description

About the Role

As our Senior Outbound Program Manager, you will serve as a strategic architect behind our outbound sales motion. Your primary mission is to help our sales team develop a high-performing outbound engine by identifying "where to play" and "how to win".  

This is an individual contributor role for a data-driven strategist who can look at a massive database of prospects and carve it into actionable, bite-sized segments for our reps. You won't just be handing off campaigns; you'll be on the ground with Sales, listening to what's working, and providing the structured plays and entry points they need to build their pipeline.

Your Area of Focus
  • Database & Audience Strategy: Analyze our ICP database to identify and carve out high-potential audience segments and build actionable audience-specific personas, ensuring a constant stream of targeted, high-quality prospects for the sales team.
  • Structured Sales Plays: Develop simple, "bite-sized" outbound plays-including entry points and pain-point conversations-that allow reps to easily adopt and execute high-impact outreach strategies.
  • Sales Feedback Loop: Attend regular sales meetings and engage with the sales team to identify which specialties, regions, or messages are resonating, then rapidly turn those real-time insights into repeatable wins.
  • High-Conversion Messaging: Architect all outbound copy across multiple modalities-including email, call scripts, direct mail, and in-person events-translating complex value into punchy, direct-response messaging. Build and optimize multi-channel sequences that spark curiosity and maximize meeting-set rates through continuous A/B testing. 
  • Operational Partnership: Collaborate with the Growth Operations team to leverage enriched data and ensure our technology infrastructure and database are organized for effective, high-velocity prospecting, as well as with Demand Generation leaders to share best practices, minimize audience overlap, and support a holistic prospect experience. 
  • Performance & Insights: Monitor the success of various segments and plays, providing the data-driven "win/loss" insights needed to understand where to double down and how to refine future strategies.
Your Professional Qualifications
  • 5-7+ years of experience in outbound sales programs, sales enablement, or demand generation within an SMB or high-velocity SaaS environment.  
  • Strategic Database Skills: Proven ability to segment a CRM/database into targeted lists based on ICP, vertical, or behavior.  
  • "Simplicity First" Mindset: A track record of taking complex market data and turning it into simple, actionable instructions for sales teams.  
  • Sales-Centric Communication: Expertise in direct-response or conversion-based copywriting, with a proven portfolio of sales sequences, cold-call scripts, or LinkedIn outreach that has demonstrably increased pipeline generation.
  • Collaborative Influence: Experience working "on the ground" with Sales teams to build trust and drive the adoption of new programs.  
  • Technical Familiarity: Comfortable working with common sales tools (e.g., Salesforce, Clay, Outreach/Salesloft) and an interest in how AI can streamline prospecting.

(For Recruiter use only) #LI-SS1 #LI-Remote