Search the 13 jobs at Coactive AI

Design, implement, and maintain scalable and reliable ML pipelines. Automate deployment and monitoring of ML models. Collaborate with ML engineers and software engineers. Optimize model performance and scalability. Monitor and troubleshoot production ML systems. Apply best practices for ML operations.

Founding ML Ops Engineer at CoactiveAI responsible for designing, building, and maintaining ML infrastructure, deploying and monitoring ML models in production, and ensuring reliability and scalability of AI solutions.

Senior Account Executive at Coactive responsible for closing business from both inbound leads and deals sourced independently. Responsibilities include building and iterating on sales motion, scoping, negotiating, and closing opportunities, forecasting sales activity, building business cases, and evangelizing the company through product demonstrations and networking.

As a Sr. Account Executive at Coactive, responsible for closing business from both inbound leads and deals sourced independently. Building and iterating on the existing sales motion, forecasting & managing sales activity, and evangelizing Coactive through product demonstrations and networking with key partners.

Lead Coactive’s AI initiative, drive product vision, strategy, and roadmap. Partner with cross-functional teams to deliver AI products successfully. Understand customer needs and incorporate them into product design. Conduct research and competitive analysis in multimodal AI.

Coactive AI is seeking a creative Marketing Lead - ABM to enhance their Account-Based Marketing strategy. The role involves developing and executing ABM campaigns for enterprise accounts, collaborating across teams, and optimizing conversion rates through the sales funnel. The ideal candidate will have 8+ years of B2B marketing experience, a proven track record in ABM for technical products, strong analytical skills, and proficiency in marketing technologies.

Lead Coactive's AI initiative, drive product vision and strategy, collaborate with teams, understand customer needs, research opportunities in multimodal AI.

As a Software Engineer focused on customer solutions at Coactive, you will be responsible for delivering technical solutions and integrations to meet customer needs, collaborating across multiple teams, and shaping company culture. This is an opportunity to work with a top AI company and contribute to the advancement of AI technology.

As a Sales Engineer at Coactive, you will be responsible for scoping and delivering technical engagements to demonstrate clear business value for potential customers. Collaborate across teams, create technical materials, and travel occasionally to customer sites and conferences. Shape best practices and company culture as the team grows.

As a Founding Support Engineer, you will be the founding member of the Support team at Coactive, providing technical support and guidance to customers. You will work closely with the founders, engineering, product, and customer success teams to tackle complex technical challenges.

Seeking a Backend Engineer with 8+ years of professional experience in web development, microservices architecture, and SQL development. Responsibilities include building full-stack applications using foundational AI models, designing data pipelines, architecting data models, collaborating with teams, and shaping engineering best practices and company culture.

As a Software Engineer focused on AI solutions at Coactive, you will be a key technical contributor bridging sales, customer success, product, and engineering. Your primary goal is to ensure the success of prospects and customers by delivering AI-focused technical solutions with clear business value. Join a top AI company and work with cutting-edge technologies and frameworks.

Backend Engineer responsible for developing and maintaining scalable streaming data pipelines and workflows to unlock the value of visual data. Collaborate with backend engineers, ML engineers, and product teams to optimize pipeline performance and uphold data quality standards. Provide expertise in ingestion frameworks, streaming pipeline development, and ensure high data quality through monitoring and observability.