Benefits:

• Hybrid role

• Equity participation (ESOPs)

• Commission-based variable pay (OTE)

Experience Requirements:

• 5+ years of experience as an Enterprise Account Executive

• Proven track record of closing complex enterprise deals

• Experience selling into mid-market and enterprise ($50k–$250k+ ACV)

Other Requirements:

• Strong discovery, negotiation, and executive communication skills

• Experience selling AI, automation, or workflow products (nice to have)

Responsibilities:

• Own the full enterprise sales cycle end-to-end

• Build and manage relationships with C-level executives

• Run structured discovery to position AI solutions

• Partner with Solutions Engineering and Product for deployments

• Forecast accurately and meet/exceed revenue targets

Benefits:

• Hybrid role

• Equity participation

• Tailored resume builder tool

Experience Requirements:

• 3–5+ years of experience in Account Management, CS, or AE roles

• Strong experience owning POCs, pilots, or trial-to-paid motions

• Proven ability to upsell or expand accounts early

Other Requirements:

• Comfortable running commercial conversations

• Experience working with AI or API-driven products (nice to have)

• Strong stakeholder management skills

Responsibilities:

• Own a book of POC-stage and early-lifecycle customer accounts

• Drive POC success and conversion to paid contracts

• Identify and execute upsell opportunities (expanded use cases, volumes)

• Partner with Solutions, Product, and Sales for expansion scope

• Track and report on POC conversion rate and early expansion ARR

Benefits:

• Medical, dental and vision

• Life and AD&D insurance

• Flexible paid time off

• Paid family leave benefits

• $500 monthly meal reimbursement

Experience Requirements:

• Proficiency in React, javascript and typescript

• Strong understanding of software engineering principles

• Hands-on experience in a SaaS technology company

• Proven ability to drive end-to-end development

• Experience with Redux is a plus

Other Requirements:

• Ability to operate in high uncertainty

• Strong communication and collaboration skills

Responsibilities:

• Write readable/testable/efficient code in React and Redux

• Develop and scale UI and frontend infrastructure

• Set technical direction for large frontend projects

• Implement automation and drive continuous delivery

• Mentor and coach engineers on system design

Experience Requirements:

• Experience in ML model or ML data pipeline deployment (on-prem or on cloud)

• Experience in building backend for application or platform API systems

• Senior Level experience

• Experience in using or contributing to modern compute frameworks for LLMs (e.g. Deepspeed, Huggingface TGI, FSDP)

• Experience in projects involving LLMs

Responsibilities:

• API system development for copilot & agent quality tooling

• API system development for copilot serving and integration with enterprise-grade requirements

• Integration with on-prem & cloud compute vendors

• Integration with software tools required in customer oriented solutions

• Collaborate with the whole team for product development, deployment and customer success

Experience Requirements:

• Research or industrial engineering experience in large language model or multi-modality models

• Experience in data curation for LLMs

• Experience in pre-training or instruction tuning for LLMs

• Experience in building copilots & agents

• Experience in capability study and benchmarking for LLMs

Responsibilities:

• Develop LLMs targeted at powering copilots and agents built for enterprise workflows

• Develop toolings to attain last-mile quality and robustness for copilot & agents applications

• Building copilot & agent application solutions for high value customer verticals

• Collaborate with the whole team for product development, deployment and customer success

Experience Requirements:

• 3+ years experience in full-stack web development

• Proficient in developing web applications using React.js, Next.js, TypeScript, and Tailwind CSS

• Experience with backend API system development & deployment on cloud (e.g. AWS)

• Strong understanding of HTML, CSS, and JavaScript

• Experience in building ML applications or ML platforms

Responsibilities:

• Full-stack development in dev tooling and applications for GenAI copilots & agents

• Spearheading the development and maintenance of high-quality web front-end using React.js

• Contributing to the backend API system for cloud or on-prem deployment

• Staying updated on emerging technologies and best practices in web development

• Collaborating with Nexusflow.ai’s full team for product development, deployment and customer success

Benefits:

• Competitive salary and benefits package

• Opportunity to work on cutting-edge medical imaging technology

• Collaborative and supportive work environment

• Chance to make a real impact on the lives of patients

• $1,500 stipend

Experience Requirements:

• A strong understanding of MRI reconstruction theory and design

• Proven experience in software development

• Excellent communication and collaboration skills

• A passion for innovation and a drive to make a real impact in the medical field

• The ability to work independently while also thriving in a collaborative team environment

Responsibilities:

• Design, develop, and maintain innovative in-house reconstructions for advanced MRI applications

• Collaborate effectively with a small, dynamic team in a fast-paced environment

• Leverage your strong mathematics and algorithm knowledge to contribute to technical discussions and problem-solving

• Write clean, well-documented, and maintainable code in C++, Javascript, and Python

• Stay up-to-date on the latest advancements in MRI reconstruction methodology

Benefits:

• Competitive salary and benefits package

• Opportunity to work on cutting-edge medical imaging technology

• Collaborative and supportive work environment

• Chance to make a real impact on the lives of patients

• $1,500 stipend

Experience Requirements:

• A strong understanding of MRI pulse sequence and RF theory and design

• Proven experience in software development

• Excellent communication and collaboration skills

• A passion for innovation and a drive to make a real impact in the medical field

• The ability to work independently while also thriving in a collaborative team environment

Responsibilities:

• Design, develop, and maintain innovative in-house pulse sequences for advanced MRI applications

• Collaborate effectively with a small, dynamic team in a fast-paced environment

• Leverage your strong MRI physics knowledge to contribute to technical discussions and problem-solving

• Write clean, well-documented, and maintainable code in C++ and Javascript

• Stay up-to-date on the latest advancements in pulse sequence and RF design

Benefits:

• Competitive salary and benefits package

• Opportunity to work on cutting-edge medical imaging technology

• Collaborative and supportive work environment

• Chance to make a real impact on the lives of patients

• $1,500 stipend

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field

Experience Requirements:

• High proficiency in Python

• Experience with building and managing self-hosted ML pipelines using tools like MLFLow, Weights and Biases, ClearML, or others

• Experience with cloud platforms

• Experience with medical imaging formats and tools including DICOM, NIfTI, and NRRD

• High proficiency with TensorFlow and PyTorch frameworks

Other Requirements:

• Excellent problem-solving and communication skills and the ability to work both independently and in a team

Responsibilities:

• Deploy models into production environments and manage their lifecycle

• Ensure that ML algorithms are performing as expected and meet business requirements

• Interface between the ML and platform teams

• Strive for highly scalable, efficient, and easy-to-maintain ML systems

• Establish and maintain a platform catered to a small company that facilitates the entire ML workflow including Model prototyping, Data tracking for datasets, models, and annotations, Training experiment tracking, Deployment for our clinical workstations, Model or data updates