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Ai 500K Jobs (NOW HIRING)

Genus AI

Senior Growth Operator (DPA & Catalog)

Franklin, TN · On-site

$119K - $156K/yr

About Genus AI Genus AI is the operating layer for AI-native commerce. We help leading DTC brands ... Own $50K-$500K+/month in ad spend across 10+ brands * Drive core metrics: ROAS, CPA, CTR ...

Genus AI

Senior Growth Operator (DPA & Catalog)

Franklin, TN · On-site

$119K - $156K/yr

About Genus AI Genus AI is the operating layer for AI-native commerce. We help leading DTC brands ... Own $50K-$500K+/month in ad spend across 10+ brands * Drive core metrics: ROAS, CPA, CTR ...

ingenium.agency

Head of Data, AI & Innovation

Manhattan, NY · On-site

$350K - $500K/yr

If interested please send a resume to rick@ingenium.agency NYC area hybrid $350k - $500k total comp The role. Own the firm's data, AI & innovation agenda and lead the ~25-person team behind it. The ...

ingenium.agency

Head of Data, AI & Innovation

Manhattan, NY · On-site

$350K - $500K/yr

If interested please send a resume to rick@ingenium.agency NYC area hybrid $350k - $500k total comp The role. Own the firm's data, AI & innovation agenda and lead the ~25-person team behind it. The ...

AI Chopping Block

$100 - $500/hr

Learn how AI tools can accelerate test generation, infrastructure, and debug workflows. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable ...

New

Xoxo Ai

Staff Software Engineer, Android

San Francisco, CA · On-site

$250K - $500K/yr

Build new product surfaces that incorporate modern AI/ML capabilities in ways that feel natural on ... Compensation: $250k-$500k expected salary with 1% to 5% equity depending on background. * Benefits:

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How much do ai 500k jobs pay per year?

As of Sep 6, 2026, the average yearly pay for ai 500k in the United States is $99,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $116,000.00 per year, depending on experience, location, and employer.

What is an AI 500K professional?

An AI 500K professional typically refers to an expert or specialist in the field of artificial intelligence (AI) with significant experience and a high level of compensation, often around $500,000 annually. These professionals usually have advanced degrees in AI, computer science, or related fields, and possess deep expertise in areas such as machine learning, natural language processing, or computer vision. They are often employed by leading technology companies, research institutions, or startups to lead AI initiatives, design advanced algorithms, and drive innovation.

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

To thrive as an AI Engineer, you need strong programming skills (often in Python), a solid foundation in mathematics and statistics, and typically a degree in computer science, engineering, or a related field. Experience with machine learning frameworks like TensorFlow or PyTorch, and familiarity with data processing tools and cloud platforms, are commonly required; certifications in AI or ML can be beneficial. Critical thinking, problem-solving abilities, and effective communication set exceptional AI Engineers apart. These skills and qualities are crucial for developing innovative AI solutions that solve complex problems and drive business value.

What are some common challenges faced by AI product managers when launching new AI-driven features?

AI Product Managers often encounter challenges such as aligning cross-functional teams (data scientists, engineers, designers, and stakeholders) on project goals, managing expectations around AI capabilities, and ensuring high-quality data for model training. Balancing rapid innovation with ethical and regulatory considerations can also pose difficulties. Frequent communication and iteration are vital to address these hurdles and deliver impactful AI solutions.

What is the difference between Ai 500K vs Data Analyst?

AspectAi 500KData Analyst
Required CredentialsTypically requires AI/machine learning certifications, advanced degrees in computer science or related fieldsBachelor's degree in statistics, mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentTech companies, AI development firms, research labsBusiness, finance, healthcare, and other industries across various organizations
Employer & Industry UsagePrimarily in AI-focused roles within tech and research sectorsAcross industries for data interpretation, reporting, and decision-making

The Ai 500K and Data Analyst roles share some overlap in data handling skills but differ significantly in specialization. Ai 500K typically involves advanced AI and machine learning expertise, often requiring specialized certifications and working in tech-focused environments. Data Analysts focus on interpreting data to inform business decisions across various industries, with a broader range of entry-level credentials.

What are the highest paid AI jobs?

High-paying AI jobs include roles such as AI Research Scientist, Machine Learning Engineer, and Data Scientist, often requiring advanced degrees and expertise in deep learning, neural networks, and programming languages like Python. Salaries for these positions can exceed $150,000 annually, especially with experience, specialized skills, and working in tech hubs or large organizations.
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Infographic showing various Ai 500K 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 $99,190 per year, or $47.7 per hour.

Senior Growth Operator (DPA & Catalog)

Genus AI

Franklin, TN • On-site

$119K - $156K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

About Genus AI
Genus AI is the operating layer for AI-native commerce.
We help leading DTC brands turn their product catalog into a performance engine - combining feed infrastructure, AI-generated creative, and performance intelligence to drive revenue across paid channels.
This is not traditional media buying.
This is catalog-driven growth at scale.
We work with brands spending $50K-$1M+ per month - where DPA is not a tactic, it is the system.
The Role
We are hiring a Senior Performance Marketing Manager focused on Dynamic Product Ads (DPA), catalog strategy, and performance systems.
You will own a portfolio of high-growth DTC brands and be responsible for:
  • Turning product catalogs into scalable acquisition engines
  • Structuring DPA systems that drive consistent ROAS
  • Connecting feed logic, creative systems, and campaign performance

This is not a creative-first role.
This is a performance + infrastructure role.
You are not optimizing ads.
You are designing the system that makes ads work.
What You'll Own
Catalog & DPA Strategy (Core)
  • Architect and scale Dynamic Product Ad systems across Meta and other channels
  • Structure product feeds, product sets, and segmentation logic
  • Define how catalog data translates into campaign performance
  • Identify revenue opportunities at the SKU / product level

You think in:
  • product sets
  • feed rules
  • catalog transformations - not individual ads

Performance Ownership
  • Own $50K-$500K+/month in ad spend across 10+ brands
  • Drive core metrics: ROAS, CPA, CTR, contribution margin
  • Analyze performance at the product, creative system, and audience level
  • Identify scaling opportunities and inefficiencies quickly

You operate like:
a performance marketer
with a data scientist mindset
System Design & Optimization
  • Build and iterate campaign architectures (CBO / ASC / DPA frameworks)
  • Design and execute structured testing systems (not random iteration)
  • Connect catalog → creative → audience → performance loop
  • Improve signal quality and learning phase stability

This is about systems that scale, not tactics that spike.
Client Strategy & Leadership
  • Lead performance conversations with senior stakeholders
  • Translate data into clear growth strategy
  • Proactively identify revenue opportunities
  • Act as a trusted operator, not just a service provider

Internal Leadership
  • Mentor junior team members (creative + performance)
  • Help define best practices for catalog-driven advertising
  • Contribute to internal playbooks and frameworks
  • Work closely with product and engineering to improve platform capabilities

Requirements
Core Experience
  • 4-7+ years in performance marketing (Meta-heavy DTC)
  • Proven experience managing $100K-$1M+/month spend
  • Strong track record hitting ROAS / CAC / MER targets
  • Deep understanding of Meta ad system mechanics
Critical Skill Set (Non-Negotiable)
  • Experience with Dynamic Product Ads (DPA)
  • Strong understanding of product feeds, product sets, and catalog segmentation
  • Ability to analyze performance at SKU-level granularity
  • Structured thinking around testing and experimentation

Mindset
  • You think in systems, not assets
  • You care about revenue, not vanity metrics
  • You are high ownership and fast-moving
  • You are comfortable operating in ambiguity and speed

Tools & Stack
  • Meta Ads Manager (advanced)
  • Shopify (or equivalent ecommerce platforms)
  • Google Merchant Center
  • Google Sheets / Excel (strong)

Bonus:
  • Experience with feed tools (Feedonomics, DataFeedWatch, etc.)
  • Experience with AI-driven creative or catalog systems

What Success Looks Like
Within 90 days:
  • You restructure accounts into clear DPA-driven systems
  • You identify key product-level performance levers
  • You establish repeatable testing frameworks

Within 6 months:
  • You drive consistent improvements in MER, ROAS, and CAC
  • You create scalable catalog strategies across accounts
  • You become a go-to operator for high-value clients

Why This Role Is Different
Most performance roles:
  • optimize campaigns
  • react to data

This role:
  • builds the system underneath performance
  • treats the catalog as the core growth engine
  • operates at the intersection of:
    • data
    • infrastructure
    • AI
    • media buying
Who Thrives Here
  • Builders, not operators
  • People who want to define how modern commerce actually runs
  • Individuals who want to be early in agentic + catalog-driven advertising

Benefits
Highly competitive salary, depending on experience
Rapid growth potential for high performers

Apply