About SalesAi

At SalesAi.com, we are revolutionizing the world of sales and customer service with cutting-edge AI-driven technology. Our platform empowers businesses to seamlessly integrate AI tools into their sales workflows and customer support processes, driving efficiency and smarter operations. As a rapidly growing SaaS company at the forefront of AI innovation, we are committed to maintaining the highest standards of regulatory compliance, data protection, and ethical business practices.

At SalesAi.com, we are building a culture of innovation, collaboration, and continuous improvement. We offer a fast-paced, dynamic work environment where you’ll have the opportunity to make a significant impact on our legal, compliance, and operational success.

We value integrity, creativity, and a passion for solving complex challenges. If you’re looking for an opportunity to work at the intersection of law, technology, and AI with a team that thrives on collaboration and innovation, we’d love to hear from you.

Key Responsibilities

Ai Strategy and implementation: 

• Identify internal use cases and opportunities for Ai 
• Lead discovery, selection, and deployment of Ai Systems 
• Develop Long term Strategy, architecture, integration plans, and roadmap for Ai initiatives that align with SalesAi’s mission and goals
• Ensure all Ai implementations and innovations directly support SalesAi’s mission to empower users to prioritize impactful tasks and deliver measured business value 

Market Research, Innovation, and Analysis:

• Conduct ongoing research on emerging Ai technologies and trends 
• Analyze potential applications for internal operations 
• Analyze Ai advancements for SalesAi product enhancements 
• Collaborate with customer success and product teams to identify customer pain points that AI can address, ensuring user-focused innovation.

System for Innovation Development: 

• Design and implement a framework for identifying, prioritizing, and executing Ai-Driven Innovations
• Empower teams with Tools, resources, and processes to independently explore and prototype Ai applications
• Facilitate Cross-Functional Collaboration by Integrating innovation opportunities that are scaled across the organization 
• Establish metrics to track and evaluate the success of innovation initiatives and iterate based on feedback

Adoption, Advocacy, Enablement, and Continuous Improvement:  

• Drive adoption of Ai systems across teams through training and support
• Collaborate with stakeholders to ensure seamless integration and measurable outcomes 
• Establish feedback loops to evaluate the impact of AI initiatives and refine strategies.

Leadership in AI Trends:

• Develop and share regular reports or presentations on emerging AI trends to inspire teams and stakeholders.
• Position SalesAi as a leader in leveraging cutting-edge AI both internally and externally.

Ethics, Risk, and Scalability:

• Ensure all AI implementations adhere to ethical guidelines, promote transparency, and mitigate biases.
• Identify and mitigate risks associated with AI deployments, including technical challenges and compliance concerns.
• Plan and allocate resources effectively to scale AI solutions as the company grows.

Collaboration & Data-Driven Decision Making:

• Partner closely with the CTO and product teams to align AI strategies with the company’s technical and product roadmaps.
• Leverage data and analytics to prioritize AI opportunities, measure ROI, and track the success of implemented solutions.

Primary Objectives of role: 

1. Drive efficiency and effectiveness across the organization leading to greater outcomes and impact by replacing current processes with Ai
2. Drive new revenue and growth opportunities with Ai 
3. Reduce Costs 
4. Identify Market Trends and new technology developments for internal application as well as application to our technology 
5. Build and maintain the internal Ai implementation roadmap and backlog 
6. Drive Adoption of Ai internal
7. Systemize and organize material for the entire org to continue to learn and develop their knowledge of new technologies

Qualifications

Required:

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field.
• Proficiency in Python, R, Java, or C++
• Experience with TensorFlow, PyTorch, Keras, Scikit-lern or similar libraries
• Expertise in AWS, Azure, Google Cloud 
• Strong knowledge of databases (SQL, NoSQL) and data engineering tools
• Understanding of system design, microservices, APIs, and integrations of AI solutions into existing infrastructure
• Problem-solving and analytical skills to translate business challenging into technical solutions
• Communication and collaboration skills to work with diverse stakeholders
• Project management and leadership abilities to oversee AI solution deployment

Optional:

• AWS Certified Machine Learning
• Microsoft Certified: Azure AI Engineer Associate
• Google Cloud Professional Machine Learning Engineer
• TOGAF (The Open Group Architecture Framework)

Some More Good Stuff (Benefits)

• Flexible (unlimited) PTO.
• Hybrid work environment.
• 10 yearly paid Holidays.
• Affordable Medical, Dental, and Vision insurance after 30 days.
• Employer-paid life insurance after 30 days.
• 401k with a 4% match
• Regular company-sponsored events.
• Growth and promotional opportunities.
• Voted a top culture company in Indianapolis across multiple categories.