... of AI implementation work Navigate multi-stakeholder buying processes involving technical ... Compensation is commensurate with experience and includes base salary plus commission. About Azumo ...
... of AI implementation work Navigate multi-stakeholder buying processes involving technical ... Compensation is commensurate with experience and includes base salary plus commission. About Azumo ...
... of AI implementation work Navigate multi-stakeholder buying processes involving technical ... Compensation is commensurate with experience and includes base salary plus commission. About Azumo ...
... of AI implementation work Navigate multi-stakeholder buying processes involving technical ... Compensation is commensurate with experience and includes base salary plus commission. About Azumo ...
... of AI implementation work Navigate multi-stakeholder buying processes involving technical ... Compensation is commensurate with experience and includes base salary plus commission. About Azumo ...
Quick apply
... of AI implementation work Navigate multi-stakeholder buying processes involving technical ... Compensation is commensurate with experience and includes base salary plus commission. About Azumo ...
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Commission Ai Implementation information
See salary details
$44.5K - $57.8K
8% of jobs
$57.8K - $71.1K
16% of jobs
$72K is the 25th percentile. Wages below this are outliers.
$71.1K - $84.5K
12% of jobs
$84.5K - $97.8K
12% of jobs
The median wage is $100.8K / yr.
$97.8K - $111.1K
12% of jobs
$111.1K - $124.4K
6% of jobs
$124.4K - $137.7K
7% of jobs
$140.7K is the 75th percentile. Wages above this are outliers.
$137.7K - $151K
11% of jobs
$151K - $164.4K
8% of jobs
$164.4K - $177.7K
5% of jobs
$177.7K - $191K
3% of jobs
$44.5K
$113K
$191K
How much do commission ai implementation jobs pay per year?
What is the difference between Commission Ai Implementation vs Commission Data Analyst?
| Aspect | Commission Ai Implementation | Commission Data Analyst |
|---|---|---|
| Required Credentials | Relevant certifications in AI, machine learning, and data analysis | Degree in data science, statistics, or related field |
| Work Environment | Tech-focused, project-based, often collaborative with AI teams | Office setting, data-focused, analytical tasks |
| Employer & Industry Usage | Tech companies, AI solution providers, financial services | Business, marketing, finance sectors |
| Search & Comparison Intent | Understanding AI implementation roles in commissions | Analyzing data to optimize commissions |
Commission Ai Implementation focuses on deploying AI solutions to automate and optimize commission processes, requiring technical skills in AI and machine learning. In contrast, a Commission Data Analyst interprets data to improve commission strategies, emphasizing data analysis and reporting. Both roles are vital in commission management but differ in technical focus and daily tasks.
Which 3 jobs will survive AI?
Full-time
PTO
Posted 18 days ago
Job description
About the role
Azumo is hiring a Sales Executive to originate new AI and ML services engagements with enterprise and mid-market companies across the US and Canada. Over 80% of our new revenue now comes from AI-driven projects, and we need a seller who can identify the right opportunities, navigate technical buying committees, and close deals with real engineering scope.
This is a hunter role. You will own pipeline generation, qualification, and close. You will work alongside our engineering leadership on technical discovery and proposal development. You will sell into CTOs, VPs of Engineering, Heads of Data, and their teams.
What you'll do
Originate new AI and ML services opportunities through targeted outbound, warm introductions, partner referrals, and inbound lead follow-up
Build and manage a qualified pipeline across enterprise and mid-market accounts in the US and Canada
Run technical discovery in partnership with our solutions and engineering leadership, converting business problems into defensible engagement scopes
Shape proposals, SOWs, and commercial terms that reflect the real complexity of AI implementation work
Navigate multi-stakeholder buying processes involving technical evaluators, finance, legal, and executive sponsors
Maintain accurate forecasting and pipeline hygiene in HubSpot
Represent Azumo's engineering credibility in client conversations, not just our company story
Requirements
What we're looking for
Solid experience selling technology services or custom software engineering engagements to US-based buyers.
A track record of originating new logo business, not only expanding existing accounts
Working fluency in AI and ML sufficient to hold a substantive first call with a technical buyer. You do not need to be an engineer, but you do need to speak credibly about model selection, LLM applications, data engineering, and production deployment concerns
Experience carrying quota against six-figure and low-seven-figure deal sizes with multi-stakeholder decision processes
Strong discovery skills. You lead with questions, not pitches
Disciplined about CRM hygiene, forecasting, and pipeline reviews
Written and verbal communication that holds up in front of senior technical and executive audiences
Based in the United States and authorized to work in the US
Nice to have
Prior experience selling nearshore or distributed engineering services
Existing relationships with CTOs, VPs of Engineering, or Heads of Data at mid-market or enterprise companies
Background in consulting, engineering, or another technical discipline before moving into sales
Benefits
Company benefits include:
- Paid Time Off
- Mentored Career Development
- U.S. Holidays
- USD Remuneration
- Profit Sharing
- Maternity Coverage
- 100% Remote
Compensation and location
Remote within the United States. Compensation is commensurate with experience and includes base salary plus commission.
About Azumo
Azumo is a software engineering partner for the era of AI. We have shipped production AI work for Meta, Discovery Channel, and dozens of other companies building real products on AI foundations. We are a services company, which means our credibility is measured by what we deliver, not by what we pitch. This role exists because we are seeing more demand for AI implementation work than we currently have capacity to originate through our inbound only go-to-market strategy.