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

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:

• Health Care Plan

• Paid Time Off (Vacation, Sick & Public Holidays)

• Work Equipment

• Stock Option Plan

• Training & Development

Education Requirements:

• Background in Computer Science, Software Engineering, ML/AI, or Data Science

Experience Requirements:

• 2-6 years of experience in a customer-facing technical role, such as Solutions Architect, Technical Account Manager, or Customer Success Engineer, focusing on AI/ML or data-driven projects

• Proven track record of managing AI/ML projects from inception to completion, including scoping, planning, and testing

• Experience working directly with customers to understand their needs and translate them into technical requirements

• Experience working with teams across different time zones

• Proficiency in data analysis tools and languages, such as Python, R, SQL, or equivalent

Other Requirements:

• Ability to work out of our San Francisco office 3 days a week

• Strong written and verbal communication skills in English, with the ability to be both concise and detailed when necessary

• Deep understanding of Machine Learning and AI technologies; ability to assess model performance using various metrics and identify areas for improvement

• Flexible and adaptable, thriving in a fast-paced, dynamic environment

Responsibilities:

• Conduct customer onboarding, set clear expectations, establish timelines, and maintain regular check-ins to achieve customer goals

• Ensure timely delivery of a functioning AI model by aligning customer expectations with the data science team

• Collaborate cross-functionally to resolve roadblocks, provide AI strategy suggestions, and update timelines and customer status

• Proactively manage customer relationships, gauge sentiment, and maintain positive customer health

• Offer technical assistance by translating complex machine learning concepts into simple languageDiscuss data strategy with customers, manage action plans, and ensure alignment with business objectivesAddress customer queries regarding Obviously AI’s software and troubleshoot issues as needed

Benefits:

• Health Care Plan

• Paid Time Off (Vacation, Sick & Public Holidays)

• Work Equipment

• Stock Option Plan

• Training & Development

Experience Requirements:

• At least 10 years of experience in sales, with a minimum of 4 years in a sales management role

• Proven experience in growing sales teams within startup environments (Series A - C preferred)

• Demonstrated success in defining and standardizing sales operations and setting up CRM systems

• Experience as an Enterprise AE with a track record of closing complex deals

• Ability to work cross-functionally with product, marketing, and customer success teams

Other Requirements:

• Deep understanding and genuine interest in AI/ML technologies

• Taken a company from 1 million ARR to 50 million ARR (this scale)

• Strong strategic thinking and problem-solving skills

• Excellent communication, negotiation, and interpersonal skills

• Ability to work out of our San Francisco office 3 days a week

Responsibilities:

• Step in to qualify and close deals as needed, leveraging extensive experience as an Account Executive (AE)

• Ensure the team meets and exceeds their sales quotas through effective management and support

• Monitor and maintain sales hygiene in the CRM system, ensuring accurate and timely updates

• Develop and implement innovative sales strategies to overcome challenges and achieve quarterly and annual sales goals

• Collaborate with cross-functional teams, including marketing and support, to align sales efforts with overall business objectivesAct as a mentor and go-to resource for the sales team, providing guidance and support to achieve sales targetsFoster a culture of continuous improvement, high performance, and accountability within the teamAdvocate and hold Account Executives (AE) accountable to hit activity metrics and qualified opportunity quotas

Benefits:

• competitive benefits program

• generous commission plan with uncapped earning potential

• equity

Experience Requirements:

• previous experience owning a book of new business

• strong track record of success in a SaaS sales environment

Other Requirements:

• entrepreneurial

• driven

• accomplished

• strong communicator

• hunter

• intellectually curious

• coachable

• tenacious

• team player

Responsibilities:

• Take responsibility for the strategy and end-to-end sales processes to expand AlphaSense’s most strategic accounts across Corporate Strategy, Competitive Intelligence, Business Development, and M&A within the U.S. & Canada.

• Become an expert on corporate customer needs and use cases, market dynamics, company capabilities, competitive landscape, and product differentiation.

• Execute a value-based, Enterprise sales motion through best-in-class champion building, business case construction, and deal management.

• Research opportunities, prospect, initiate discussions, build relationships, conduct demos, manage evaluations, and most importantly: close deals!

• Partner with our SDR team to create prospecting plans and drive pipeline. Forecast accurately and help the Pod develop the necessary pipeline to meet/exceed the team quota Work closely with Account Management to ensure customer health throughout the contract term, as well as closing sourced upsell and cross-sell opportunities

Benefits:

• performance-based bonus

• equity

• generous benefits program

Experience Requirements:

• at least 3 years of Account Management experience

Other Requirements:

• relationship-driven

• subject matter expert

• energetic and creative

• strong communicator

Responsibilities:

• Maximize retention rate across the book of business

• Increase and drive adoption of AlphaSense solutions into other business units of existing clients to uncover new opportunities, exceeding monthly, quarterly and annual revenue goals

• Identify revenue at risk in order to best position the company to prevent churn

• Forecast retention rates

• Collaborate with Account Executives to identify growth opportunities within the book of business

Benefits:

• Work remotely while being an indispensable member of our global team.

• Work at the heart of a growing AI startup with a unique culture and ambitions to match your own.

• We are result driven and give you the space and flexibility to organize your work as it best suits you.

• Get the opportunity to be a co-owner of a successfull startup with Creaitor’s Employee Stock Options Program.

• Be part of the initial scaling team and shape the future of Creaitor with us

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field

Experience Requirements:

• Proven experience as a Machine Learning Engineer or similar role, with a strong portfolio of successful projects

Other Requirements:

• Proficiency in programming languages such as Python, R, or similar.

• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.

• Strong understanding of data structures, algorithms, and software engineering principles.

• LLM Expertise: Experience in developing AI/ML solutions with a focus on LLM and LLM frameworks (e.g. LangChain). Strong knowledge and practical experience in Generative AI

• NLP Expertise: Knowledge of natural language processing (NLP) techniques and tools.

• Vector Databases: Experience in working with vector databases (e.g., Pinecone, FAISS, Milvus) to store and manage high-dimensional data for similarity searches and recommendation engines.

• Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization (Docker, Kubernetes) is a plus.

• Demonstrated ability to lead projects and work independently as well as part of a team.

• Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders

Responsibilities:

• Lead ML Development: Design, develop, and deploy machine learning models.

• Strategy and Vision: Develop and execute a strategic roadmap for machine learning initiatives aligned with Creaitor’s goals.

• Cross-functional Collaboration: Work with cross-functional teams to identify opportunities for leveraging machine learning to solve complex problems and improve user experience.

• Vector Database Management: Set up and manage vector databases to efficiently store and retrieve high-dimensional data, enabling fast and accurate similarity searches.

• Data Management: Collect, preprocess, and analyze large datasets to inform model development and extract actionable insights.Feature Engineering: Perform feature engineering to enhance model performance and accuracy.Model Training: Train and fine-tune machine learning models using state-of-the-art techniques.Model Optimization: Evaluate and optimize model performance to ensure accuracy, efficiency, and scalability.Research and Innovation: Stay up-to-date with the latest research and advancements in machine learning and AI to continuously enhance our platform.Testing and Maintenance: Implement and maintain robust testing frameworks to ensure the reliability of machine learning solutions.Documentation: Document processes, models, and methodologies to ensure knowledge sharing and reproducibility

Benefits:

• Remote Work: Enjoy the flexibility of remote work while being a crucial member of our global team. We provide the tools and support needed for effective communication and a great work environment.

• Innovative Culture: Join a pioneering AI startup with a unique culture and ambitious goals that align with your own.

• Flexibility: We offer a results-oriented environment with the freedom to structure your work in the most effective way for you.

• Equity: Participate in our Employee Stock Options Program and share in Creaitor’s success.

• Growth Opportunities: Be part of the initial scaling team and help shape the future of Creaitor as we expand

Education Requirements:

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

Experience Requirements:

• Proven experience as a System Architect or Tech Lead, with a track record of successfully designing and implementing complex systems

Other Requirements:

• Expertise in programming languages such as PHP, JavaScript, Python and similar.

• Strong experience with system design patterns, microservices architecture, and cloud-based solutions.

• Advanced knowledge of PHP (Laravel), JavaScript (VueJS), and modern web development practices is an advantage.

• Experience designing scalable architectures capable of handling high traffic and complex data interactions.

• Familiarity with cloud platforms (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes).

• Knowledge of DevOps practices to streamline development and deployment workflows.

• Strong ability to collaborate with cross-functional teams and communicate technical concepts to both technical and non-technical stakeholders.

• Demonstrated leadership and team management skills with a focus on fostering a collaborative and innovative development environment

Responsibilities:

• System Architecture Design: Develop and implement scalable, secure, and high-performance system architectures to support Creaitor’s AI-driven platform.

• Technical Leadership: Lead, mentor, and guide a development team, establishing coding standards, best practices, and development methodologies within the Laravel ecosystem.

• Project Management: Oversee the planning, execution, and delivery of software projects, ensuring adherence to timelines and quality standards.

• Integration: Design and manage integrations with third-party services, APIs, and internal systems, enhancing the platform’s capabilities.

• Technology Stack Management: Continuously evaluate and select appropriate technologies and tools to maintain and advance our tech stack, ensuring alignment with business needs.Performance Optimization: Monitor, analyze, and optimize system performance, focusing on application speed, reliability, and scalability within our Laravel and VueJS environment.Collaboration: Work closely with cross-functional teams, including product managers and ML engineers, to align technical solutions with business goals.Innovation: Stay updated on industry trends and emerging technologies to drive continuous improvement and innovation in our platform.Documentation: Maintain comprehensive documentation for system architecture, design decisions, and development processes

Responsibilities:

• Build, lead and develop a group of passionate and talented product engineers

Responsibilities:

• Own a key area; make technical, strategic decisions to deliver world class experiences

Responsibilities:

• Design, implement and improve our backend infrastructure

Responsibilities:

• Impact Attio’s ability to scale and deliver a robust platform

Responsibilities:

• Own and develop Attio’s visual identity

Responsibilities:

• Manage performance and lifecycle programs

Benefits:

• Competitive cash and equity-based compensation

• xAI equity

• Private health and dental insurance

• Unlimited time off subject to prior approval

Experience Requirements:

• Expert in at least one programming language that compiles to machine code such as Rust, C++, or Go.

• Expert knowledge of monitoring technologies such as Prometheus, Grafana, and PagerDuty.

• Expert knowledge of deployment technologies such as Pulumi or Terraform.

• Expert knowledge of Kubernetes

Responsibilities:

• Improving our observability by adding/adjusting metrics

• Building easily parsable dashboards

• Building reliable alerts

• Designing and overseeing our on-call rotations

• Improving our deployment process to increase reliability

Benefits:

• Hybrid/remote work

• Competitive salary

• Top-tier health benefits

• Regular on-site events

Benefits:

• Flexible work

• Weekly payments

• Rapid growth

• Work from anywhere

• Skill development

Education Requirements:

• Bachelor’s Degree or equivalent experience

Experience Requirements:

• 1-2 years of experience

• 3-5 years of experience

• 4-6 years of experience

Other Requirements:

• Professional level written and spoken English

• Familiarity with any of the cloud platforms (Azure, GCP or Amazon)

• Familiarity with CI/CD, containerization, and container orchestration tools

• Familiar with Agile project management methodologies

• Familiarity with the OWASP Top 10 Web Security Vulnerabilities and their mitigation

Responsibilities:

• Design, develop and test new products, while maintaining the existing ones

• Stay up to date with the latest industry trends in software and cloud solutions

• Ensure high code and design quality that fulfills business requirements and good design aspects (scalability, fault tolerance)

• Design and implement solutions to protect against common security vulnerabilities

• Directly involved with the Product team to understand Requirements

Benefits:

• Flexible work

• Weekly payments

• Rapid growth

• Work from anywhere

• Skill development

Education Requirements:

• Bachelor’s degree in computer science, Data Engineering, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in data pipeline design, data transformation, and data integration

Other Requirements:

• Proficiency in programming languages such as Python, SQL, or Scala, and experience with data manipulation libraries and frameworks

• Solid knowledge of data storage and database management systems, including relational and NoSQL databases

• Familiarity with data visualization tools and techniques to facilitate data understanding and analysis

• Experience with cloud-based data platforms, such as AWS, GCP, or Azure, is a plus

• Solid understanding of data quality and data governance principles

Responsibilities:

• Data Transformation and Integration

• Data Manipulation

• Data Quality Assurance

• Data Pipeline Design and Development

• Performance Optimization

Benefits:

• Flexible work

• Weekly payments

• Rapid growth

• Work from anywhere

• Skill development

Education Requirements:

• Bachelor's degree (or above) in computer science, Engineering, or a related field

Experience Requirements:

• Proven professional experience as a Machine Learning Engineer, Data Scientist, or related role, with a focus on developing and deploying machine learning models

Other Requirements:

• Strong programming skills in languages such as Python, R, or Java, with experience in data manipulation, analysis, and model development libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow, PyTorch)

• Solid understanding of machine learning algorithms, statistical modeling, and deep learning architectures

• Experience with data preprocessing techniques, feature engineering, and model evaluation

• Proficiency in working with large-scale datasets and distributed computing frameworks (e.g., Hadoop, Spark)

• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and knowledge of deploying machine learning models to production

Responsibilities:

• Work on the design, development, and implementation of machine learning models and algorithms to solve complex business problems

• Collaborate with software engineers, and domain experts to gather requirements, define project goals, and identify data sources

• Conduct exploratory data analysis, data preprocessing, and feature engineering to prepare data for model training

• Develop and implement scalable and efficient machine learning pipelines and workflows

• Train, evaluate, and fine-tune machine learning models using state-of-the-art techniques and algorithms

Benefits:

• Flexible work

• Weekly payments

• Rapid growth

• Work from anywhere

• Skill development

Experience Requirements:

• A minimum of 3-5 years of experience in programming for the web

Other Requirements:

• Solid understanding of Python for web applications

• Extensive experience with Django, Flask or other Python web frameworks

• Experience with both Relational and NoSQL databases

• Good understanding of web servers (Apache, Nginx) and essential configurations

• Solid understanding of algorithms, data structures, and complexity

Responsibilities:

• Designs, develops, and tests new products, while maintaining the existing

• Stays up to date with the latest industry trends in software and cloud solutions

• Ensures high code and design quality that fulfills business requirements and good design aspects (scalability, fault tolerance)

• Coaches, mentors, and supports junior team members by:

• Supports culture of technical excellence and zero technical debt