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Executive Ai Engineer Salary In Jobs (NOW HIRING)

Represent Mend AI externally: Be a visible presence at security conferences, executive meetings ... CTO, VP Engineering) * Success operating in early-stage or high-growth environments with high ...

Applied AI Engineer

San Mateo, CA · On-site +1

$165K - $350K/yr

We've 10x'd revenue in 12 months, raised a $60 million Series B ($555 million valuation), and are ... CEO of Vercel. If you thrive when the stakes are high and the path isn't paved, you'll love it ...

... executive stakeholders - translating business needs into technical direction and back again. • ... Founded in 2012, the company is headquartered in Mountain View, USA, with a team of 201-500 ...

Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 ... Compensation Information The expected salary range for this position (AI Engineer) in US-MA-Boston ...

AI Engineer

New York, NY

$175K - $275K/yr

We are interested in a variety of data modalities (language, vision, multimodal, and structured ... Flat structure with direct executive exposure - Work closely with leadership and make an impact ...

AI Engineer

New York, NY · On-site

$175K - $275K/yr

We are interested in a variety of data modalities (language, vision, multimodal, and structured ... Flat structure with direct executive exposure - Work closely with leadership and make an impact ...

AI Engineer

Seattle, WA · On-site

$332K/yr

Work on a high-impact, executive-sponsored AI platform initiative * Build developer-facing products ... Minimum: $151,800.00 Maximum: $332,200.00 In addition to the base salary and/or OTE listed Zoom has ...

AI Engineer

Boston, MA · On-site

$152K - $222K/yr

Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 ... Compensation Information The expected salary range for this position (AI Engineer) in US-MA-Boston ...

Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 ... The expected salary range for this position (AI Engineer) in US-MA-Boston is between $170,000 and ...

... Salary : USD 95,000 - 133,000 Additional variable compensation and benefits may apply. Total ... Summary As an AI Engineer you will be a critical member in executing our AI initiatives within the ...

Act as the voice of the customer to our Engineering teams. Your sustained feedback will directly ... Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted ...

Vision, Medical, Life, Dental, 401K Gross Annual Base Salary :USD 114,000 - 148,000 Additional ... Summary As an AI Engineer you will be a critical member in executing our AI initiatives within the ...

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world's leading agentic AI ... Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as ...

Lead AI Engineer

Fort Lauderdale, FL

$98K - $129K/yr

... Salary : USD 151,000 - 196,00 Additional variable compensation and benefits may apply. Total ... in front of your peers. * Comfortable engaging and presenting to C-level executives from time to ...

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Executive Ai Engineer Salary In information

See salary details

$57.5K

$103.7K

$154.5K

How much do executive ai engineer salary in jobs pay per year?

As of Jun 28, 2026, the average yearly pay for executive ai engineer salary in in the United States is $103,684.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $112,500.00 per year, depending on experience, location, and employer.

What is the highest paying AI engineer job?

The highest paying AI engineer roles are typically senior positions such as Lead AI Engineer or AI Director, often found in large tech companies or specialized industries. These roles require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, and can offer salaries exceeding $150,000 annually, with some reaching over $200,000 for top-tier positions.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI executives, senior machine learning engineers, or AI research directors, often in large tech companies or specialized firms. These positions usually require advanced skills in AI algorithms, deep learning, and extensive experience, and may include bonuses or stock options that contribute to the total compensation.

Which 3 jobs will survive AI?

Executive AI Engineers are likely to continue to be in demand as they develop, implement, and oversee AI systems, requiring advanced technical skills and domain expertise. Other jobs expected to survive AI include roles in healthcare, such as doctors and nurses, due to the need for human judgment and empathy, and in creative fields like writers and designers, where human originality remains essential. These roles involve complex problem-solving, emotional intelligence, and nuanced decision-making that AI is less capable of replicating fully.

What engineers make $500,000?

Senior AI engineers, especially those with extensive experience, specialized skills in machine learning and deep learning, and working in high-demand industries or at large tech companies, can earn salaries around $500,000 including base pay, bonuses, and stock options. Achieving this level typically requires advanced degrees, certifications, and a strong track record of impactful projects.

What is the difference between Executive Ai Engineer Salary In vs Data Scientist?

AspectExecutive Ai EngineerData Scientist
Average Salary$120,000 - $180,000$90,000 - $130,000
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fields; certifications in AI toolsDegree in Data Science, Statistics, or Computer Science; certifications in data analysis
Work EnvironmentTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions
Industry UsageDeveloping AI strategies, leading AI projectsAnalyzing data, building models, deriving insights

While Executive Ai Engineers typically command higher salaries due to leadership roles in AI development, Data Scientists focus more on data analysis and model building. Both roles require strong technical skills, but Executive Ai Engineers often have additional managerial responsibilities, influencing salary differences across industries.

What cities are hiring for Executive Ai Engineer Salary In jobs? Cities with the most Executive Ai Engineer Salary In job openings:
What are the most commonly searched types of Ai Engineer Salary In jobs? The most popular types of Ai Engineer Salary In jobs are:
What states have the most Executive Ai Engineer Salary In jobs? States with the most job openings for Executive Ai Engineer Salary In jobs include:

Founding Account Executive (AI Cloud)

Featherless AI

Vancouver, WA • On-site, Remote

Full-time

Posted 14 days ago


Job description

About Featherless
Featherless.ai is building the world's most reliable open-model inference platform - a serverless foundation for deploying and scaling AI without infrastructure overhead.
Backed by AMD, Airbus Ventures, 500 Global, Kickstart Ventures, HF0 Residency, Panache Ventures, and Oakseed Ventures, we're a well-funded team of researchers and engineers on a mission to democratize AI through performance and accessibility.
Our cloud provides instant access to 30,000+ open-source AI models and the research innovations powering next-generation efficiency, reliability, and model optimization.
About the Role
We're looking for an experienced Account Executive (AI Cloud) - someone who owns deals end-to-end, builds lasting relationships with technical buyers, and thrives in the early-stage chaos of a fast-moving AI company.
This is a full-cycle sales role. You'll carry quota, close enterprise and scale-up deals, and help shape the commercial motion at a company that's redefining how AI teams deploy open-source models. You'll work directly with the CRO and founders, engage deeply with developers, ML engineers, and CTOs, and play a central role in building a repeatable GTM engine.
If you're a self-starter who loves technical sales, enjoys working at the frontier of AI infrastructure, and wants outsized impact and ownership at a Series A company - this is for you.
What You'll Own Immediately
  • Carry and close a pipeline of enterprise, scale-up, and high-growth startup accounts
  • Own deals from first contact through signed contract - discovery, demo, proposal, negotiation, close
  • Build and maintain executive-level relationships with CTOs, ML leads, and infrastructure decision-makers
  • Work with the CRO to develop pricing strategies, deal structures, and expansion playbooks
  • Partner with BDR and DevRel on pipeline generation and ecosystem-driven sourcing
  • Maintain CRM rigor and deliver accurate forecasting and pipeline reporting
  • Represent Featherless at industry events and conferences to generate and advance deals
Core Responsibilities
  • Run full-cycle sales across mid-market and enterprise segments
  • Lead high-quality discovery and technical demo calls tailored to each buyer's stack and use case
  • Develop custom proposals and business cases that connect model inference needs to Featherless capabilities
  • Negotiate and close complex, multi-stakeholder deals
  • Expand revenue within existing accounts - identify upsell and cross-sell opportunities
  • Use AI tools extensively to automate research, outreach personalization, and workflow efficiency
  • Maintain clean CRM hygiene in HubSpot - all activity logged, pipeline stages accurate
  • Collaborate with DevRel and Product on feedback loops from the field
  • Mentor BDRs and help define what great pipeline looks like
What You Bring
  • 3-6 years in a closing role in Cloud Infrastructure, MLOps, or AI/developer tooling
  • Proven track record closing deals with technical buyers (developers, ML engineers, CTOs)
  • Comfortable navigating multi-stakeholder enterprise sales cycles
  • Strong written and verbal communication - concise, credible, technically literate
  • Entrepreneurial and self-driven - you build your own process and don't wait for a playbook
  • Disciplined forecaster with clean CRM habits and a data-driven approach to pipeline management
  • Familiar with HubSpot, Clay, n8n, or equivalent tools
Why Featherless
  • Build out the AE function at a company growing in one of the fastest-moving spaces in AI
  • Work directly with the founders and CRO - your wins shape the company's trajectory
  • Be part of a small, high-performing team making open weight AI accessible to everyone
  • Competitive base + commission