Benefits:

• Work in a leading AI application development platform.

• Learning and mentorship from founders of multiple Tech Companies.

• Exposure to cutting-edge technologies and the chance to work on innovative projects.

• Fully Remote setup.

• Employee Stock Options ( ESOP ) Competitive salary and comprehensive benefits.

Benefits:

• Work in a leading AI application development platform.

• Learning and mentorship from founders of multiple Tech Companies.

• Exposure to cutting-edge technologies and the chance to work on innovative projects.

• Fully Remote setup.

• Employee Stock Options ( ESOP ) Competitive salary and comprehensive benefits.

Benefits:

• Work in a leading AI application development platform.

• Learning and mentorship from founders of multiple Tech Companies.

• Exposure to cutting-edge technologies and the chance to work on innovative projects.

• Fully Remote setup.

• Employee Stock Options ( ESOP ) Competitive salary and comprehensive benefits.

Benefits:

• Work in a leading AI application development platform.

• Learning and mentorship from founders of multiple Tech Companies.

• Exposure to cutting-edge technologies and the chance to work on innovative projects.

• Fully Remote setup.

• Employee Stock Options ( ESOP ) Competitive salary and comprehensive benefits.

Experience Requirements:

• 10+ years of sales experience

• 5+ years with a proven track record of selling to senior-level executives, including VPs.

• 4+ years of sales experience specifically within the construction industry.

Other Requirements:

• Willingness to travel up to 50% of the time.

• Strong communication, presentation, selling, and negotiation skills.

• Experience working with HubSpot.

• Ability to integrate into a fast-paced, data-driven culture.

• Ability to work independently with a proactive approach to sales.

Responsibilities:

• Sales Cycle Management: Oversee the entire sales process from prospecting to account management, building and nurturing strong relationships with potential and existing clients. Be comfortable with prospecting, outbound activities, and developing existing accounts.

• Quota Achievement: Meet and exceed monthly, quarterly, and yearly sales targets within prospective accounts. Effectively manage your pipeline and execute planned activities to drive revenue growth.

• Client Engagement: Develop and execute customer strategies aligned with client preferences and business goals. Drive sales of pilot programs and Master Service Agreements (MSAs), ensuring seamless implementation and delivery.

Experience Requirements:

• Proven experience in ML Ops, DevOps, or a related role, preferably in a startup environment.

• Proficiency in cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).

• Strong programming and scripting skills (e.g., Python, Bash).

• Familiarity with machine learning frameworks and libraries.

• Knowledge of CI/CD tools and practices.

Responsibilities:

• Collaborate with machine learning engineers and data scientists to deploy machine learning models into production environments.

• Develop and maintain deployment pipelines.

• Manage and optimize the infrastructure required for machine learning workloads, including cloud resources and containerized environments. Implement CI/CD pipelines.

• Work closely with data engineers and data scientists to ensure robust data pipelines and monitor data quality.

• Implement data versioning and storage solutions.

Education Requirements:

• Masters in Computer Science or related tech field OR equivalent experience.

Experience Requirements:

• 5+ years of experience in Machine Learning.

• 2+ years of work or educational experience in speech tech (such as automatic speech recognition (ASR), speaker recognition/identification/diarization, emotion classification, text-to-speech).

Responsibilities:

• Experiment with, apply and benchmark new ML algorithms.

• Set up proof-of-concepts and bring those to product.

• Productize cutting-edge research.

• Deploy machine learning code in the cloud.

• Leverage machine learning techniques to build systems which process and derive insights from tons of data points every day.

Experience Requirements:

• Proven experience as a Backend Software Engineer or similar role, with a minimum of 3 years of experience in backend development.

• Strong proficiency in one or more programming languages commonly used for backend development (e.g., Python, C#, Node.js).

Responsibilities:

• Design scalable and robust backend architectures that support high-traffic applications and services.

• Write clean, efficient, and maintainable code in languages such as Python, C#, or Node.js, adhering to best practices and coding standards.

• Develop and optimize database schemas and queries for efficient data storage, retrieval, and manipulation.

• Build and maintain RESTful APIs for seamless communication between frontend applications and backend systems.

Education Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).

Experience Requirements:

• Proven experience as a Web Developer with a strong focus on Laravel and Vue.js.

• Proficiency in JavaScript, HTML, CSS, and responsive design principles.

Responsibilities:

• Develop and maintain responsive and user-friendly web interfaces using Laravel for backend logic and Vue.js for frontend interactions.

• Write clean, efficient, and scalable code.

• Interface directly with business stakeholders, project managers, or product owners to gather and interpret requirements.

• Collaborate with other team members to develop and implement new features and functionality.

Experience Requirements:

• Basic video editing experience (Adobe Premiere Pro and CapCut knowledge is best).

• Strong interest in internet culture, humorous Instagram/YouTube/TikTok content, gaming culture and AI communities.

Responsibilities:

• Execution of content ideas. You will actively participate in the video editing process and release of content to various channels.

• Content analysis. You will assist in gathering analytics and adapting the strategy accordingly.

• You will also participate in brainstorm sessions and contribute to the generation of relevant content ideas.

Experience Requirements:

• Proven experience as a data engineer, with a strong track record in data pipeline development and data warehousing.

• Proficiency in data engineering technologies, including ETL tools, database systems, and data processing frameworks (e.g. Apache Spark).

Responsibilities:

• Data Pipeline Development: Design and develop robust and scalable data pipelines for collecting, processing, and storing voice data from various sources.

• Data Warehousing: Build and maintain data warehouses and data lakes to store and organize structured and unstructured voice data.

• ETL Processes: Develop and optimize ETL processes to transform raw data into actionable insights, supporting the work of data scientists and machine learning engineers.