ThinkTrends
ThinkTrends
ThinkTrends is an Enterprise AI company building secure, intelligent automation solutions for regulated and enterprise environments. Our platform enables organizations to deploy generative and agentic AI capabilities with a focus on control, compliance, and transparency. Role Overview
We’re looking for an experienced Engineering Manager to lead and scale the engineering execution of our core AI platform. You’ll be responsible for ensuring technical delivery, driving engineering best practices, and partnering with product and data science to bring generative AI capabilities to production. This role requires strong technical depth, excellent leadership skills, and the ability to balance execution speed with long-term architecture. Compensation
Salary range:
$150,000-$190,000 , depending on experience and qualifications. Key Responsibilities
Lead engineering planning, execution, and delivery across core platform and product teams Provide architectural direction for containerized backend services, GenAI infrastructure, and cloud-native deployments with a strong focus on performance, scalability, and security Drive the full lifecycle of product features—from concept through design, implementation, release, and optimization Collaborate with cross-functional teams including Data Scientists, Product Managers, and UI/UX Designers to prioritize and implement high-impact features Guide implementation of containerized AI workloads using AWS SageMaker, Bedrock, and Hugging Face Promote engineering excellence through CI/CD, infrastructure automation, observability, incident response, and DevOps best practices Support a high-performance engineering culture through mentorship, hiring, and continuous improvement Contribute to system architecture decisions and the long-term technical roadmap Support the integration of Generative AI and Agentic AI models where relevant Required Qualifications
7+ years of professional software engineering experience 3+ years in engineering leadership or management roles Deep proficiency in Node.js and Python for backend development Strong experience with AWS, including SageMaker and Docker-based deployments Solid grasp of system design, microservices architecture, and modern engineering principles Hands‑on exposure to Hugging Face, LangChain, or similar GenAI frameworks Proven ability to drive architectural decisions and ship AI/data platforms Strong communication and organizational skills Experience with Git and collaborative development workflows Proven ability to manage or mentor engineering teams Bachelor’s or Master’s degree in Computer Science or a related field Preferred Qualifications
Familiarity with Terraform, Kubernetes, or container orchestration Experience with Elasticsearch or other vector search technologies Experience in regulated or enterprise environments (e.g., healthcare, federal) Exposure in building ML pipelines or integrating machine learning models into production Experience with Generative AI or Agentic AI models and related system integration What We Offer
Competitive salary and benefits. Flexible hybrid work environment. Fast‑paced, inclusive team culture focused on innovation and growth. Leadership opportunities in emerging AI and software innovation spaces. Seniority Level
Mid‑Senior level Employment Type
Full‑time Job Function
Engineering and Information Technology Industries
Software Development
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ThinkTrends is an Enterprise AI company building secure, intelligent automation solutions for regulated and enterprise environments. Our platform enables organizations to deploy generative and agentic AI capabilities with a focus on control, compliance, and transparency. Role Overview
We’re looking for an experienced Engineering Manager to lead and scale the engineering execution of our core AI platform. You’ll be responsible for ensuring technical delivery, driving engineering best practices, and partnering with product and data science to bring generative AI capabilities to production. This role requires strong technical depth, excellent leadership skills, and the ability to balance execution speed with long-term architecture. Compensation
Salary range:
$150,000-$190,000 , depending on experience and qualifications. Key Responsibilities
Lead engineering planning, execution, and delivery across core platform and product teams Provide architectural direction for containerized backend services, GenAI infrastructure, and cloud-native deployments with a strong focus on performance, scalability, and security Drive the full lifecycle of product features—from concept through design, implementation, release, and optimization Collaborate with cross-functional teams including Data Scientists, Product Managers, and UI/UX Designers to prioritize and implement high-impact features Guide implementation of containerized AI workloads using AWS SageMaker, Bedrock, and Hugging Face Promote engineering excellence through CI/CD, infrastructure automation, observability, incident response, and DevOps best practices Support a high-performance engineering culture through mentorship, hiring, and continuous improvement Contribute to system architecture decisions and the long-term technical roadmap Support the integration of Generative AI and Agentic AI models where relevant Required Qualifications
7+ years of professional software engineering experience 3+ years in engineering leadership or management roles Deep proficiency in Node.js and Python for backend development Strong experience with AWS, including SageMaker and Docker-based deployments Solid grasp of system design, microservices architecture, and modern engineering principles Hands‑on exposure to Hugging Face, LangChain, or similar GenAI frameworks Proven ability to drive architectural decisions and ship AI/data platforms Strong communication and organizational skills Experience with Git and collaborative development workflows Proven ability to manage or mentor engineering teams Bachelor’s or Master’s degree in Computer Science or a related field Preferred Qualifications
Familiarity with Terraform, Kubernetes, or container orchestration Experience with Elasticsearch or other vector search technologies Experience in regulated or enterprise environments (e.g., healthcare, federal) Exposure in building ML pipelines or integrating machine learning models into production Experience with Generative AI or Agentic AI models and related system integration What We Offer
Competitive salary and benefits. Flexible hybrid work environment. Fast‑paced, inclusive team culture focused on innovation and growth. Leadership opportunities in emerging AI and software innovation spaces. Seniority Level
Mid‑Senior level Employment Type
Full‑time Job Function
Engineering and Information Technology Industries
Software Development
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