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Senior Software Engineer - Python
Optimize venture capital workflows using AI-powered deal sourcing, automated due diligence, and a unified platform for founders, investors, and limited partners.
Benefits:
Equity
Health benefits
Education Requirements:
Bachelor's degree in Computer Science or related field
Experience Requirements:
5+ years engineering experience
Expert in Go and/or Python and/or Java
Solid database skills (Postgres, MySQL)
Experience with Web Frameworks (Spring, Flask)
Experience leading and owning projects
Other Requirements:
Skilled in building scalable distributed systems
Responsibilities:
Designing and maintaining Microservices using Python/Go
Developing cloud based software products
Build systems to handle millions of transactions
Scale online services and data pipelines
Collaborate on security, reliability, and automation
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Senior Full-stack Engineer
Accelerate AI model development with high-quality human data for RLHF and SFT through a robust multimodal annotation platform and expert talent network.
Benefits:
Quarterly Bonuses
Two Festival Bonuses
Group Health Insurance
Morning Snacks
Employee Engagement Programs
Experience Requirements:
3-5 years of professional software engineering experience
Other Requirements:
Deep proficiency in JavaScript / TypeScript
Production experience with Next.js
Strong relational database experience, especially PostgreSQL
Solid understanding of AWS and cloud-native systems
Strong ownership mindset and bias toward execution
Responsibilities:
Own the design and implementation of backend systems and APIs using JavaScript/TypeScript
Build and ship full-stack features using Next.js, with an emphasis on performance and reliability
Design, evolve, and optimize PostgreSQL schemas and queries at scale
Make architectural decisions with long-term scalability in mind
Deploy and operate services on AWS (EC2, RDS, S3, Lambda, etc.)
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Strategic Account Executive
Accelerate AI model development with high-quality human data for RLHF and SFT through a robust multimodal annotation platform and expert talent network.
Benefits:
Attractive base salary with significant stock options
Comprehensive health, dental, and vision insurance plans
401(k) retirement plan
Flexible paid time off, holidays, and parental leave policies
Referral Program
Experience Requirements:
Minimum of five years of experience selling and generating demand for enterprise software solutions.
Other Requirements:
Experience with professional services and managed services
Experience and relationships selling to executives at frontier AI companies
Previous experience selling artificial intelligence (AI), machine learning (ML), large language models (LLMs), data analytics, cloud data stores
High business acumen and ability to sell technology and business value
Experience with MEDDICC and enterprise selling methodologies
Responsibilities:
Develop pipeline using demand generation, prospecting tools, professional networking, and enterprise selling methodology.
Build account plans and manage a territory of target enterprises
Explore & identify new opportunities in new accounts and expansion of existing accounts
Research and present business intelligence about customers and prospects
Help to develop and continuously improve our prospecting and selling motions
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AI Engineer
Optimize your workouts with AI-driven fitness tracking that provides data-backed insights and personalized training solutions for enthusiasts and professionals.
Benefits:
Competitive salary and benefits package
Opportunity to innovate in the fitness technology space
Collaborative and supportive work environment
Opportunities for professional growth and development
Access to high-performance computing resources
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field
Experience Requirements:
5-7+ years of experience in AI/ML engineering
Strong expertise in deep learning frameworks (TensorFlow, PyTorch)
Solid understanding of neural network architectures and optimization techniques
Experience in designing and implementing custom neural network architectures
Proficiency in Python and software engineering best practices
Other Requirements:
Strong problem-solving skills
Excellent collaboration and communication skills
Responsibilities:
Research, design, and implement novel AI/ML model architectures
Develop efficient and scalable deep learning models
Optimize model architectures for performance and efficiency
Collaborate with ML Ops for deployment
Mentor junior engineers and build AI engineering best practices
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Senior Legal Counsel (m/w/d) - Commercial Law Affairs
Optimize industrial performance and supply chain agility through an integrated ecosystem of AI-powered software, automated hardware, and expert consulting.
Benefits:
Mobile working options
Performance-based compensation
Professional development support
Flexible working hours
International working environment
Education Requirements:
Outstanding legal expertise proven by very good exam results
Experience Requirements:
Minimum five years of professional experience in a law firm or international company
Other Requirements:
Focus on commercial or contract law
Experience negotiating with multinational companies
Understanding of tax, finance, compliance, and data protection
Fluent English skills
Responsibilities:
Legal advice on commercial and contract law
Review and negotiation of operative business contracts
Management of commercial-legal topics internationally
Support business units with sales and service teams
Collaborate with Head of Legal and Group Legal teams
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Machine Learning Engineer
Automate document extraction and analysis with 99% accuracy to cut processing times by 80%. Ideal for financial institutions needing secure, real-time compliance.
Education Requirements:
Degrees (B.Tech, M.Tech, PhD) are optional; experience is preferred over education.
Experience Requirements:
A few real-world machine learning projects.
Experience taking projects from idea stage to production.
Worked with Spacy, OpenCV, Huggingface or other similar libraries.
Other Requirements:
Strong at data structures, algorithms and probability theory.
Knowledge of C, C++, or Python.
Proficiency in Tensorflow, Keras, or PyTorch.
Experience designing and developing RESTful APIs with Flask/FastAPI.
Responsibilities:
Design annotation/training/inference pipelines.
Quickly explore and validate different models and architectures.
Come up with appropriate metrics and benchmarks to evaluate performance.
Wrap APIs around models and deploy them to the cloud.
Monitor the performance of models and build feedback loops for continuous improvement.
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Junior PR Specialist
Secure a brand-ready, AI-native domain name with human-curated excellence and AI-powered alignment tools to launch your startup with maximum credibility.
Experience Requirements:
Junior-level experience in PR or media relations with demonstrated results
Exposure to top-tier business, tech, or startup publications
Experience supporting PR for tech or startup companies is required
Other Requirements:
Strong writing skills and comfort communicating with journalists and editors
Highly organized, detail-oriented, and comfortable executing tasks with feedback and direction
Interest in startups, branding, or founder-focused products
Responsibilities:
Research and build targeted media lists across business, tech, and startup publications
Support outbound pitching using provided angles, messaging, and guidance
Send pitches, manage follow-ups, and respond to media inquiries
Assist in drafting and updating pitches, templates, and media materials
Help coordinate press around product launches, partnerships, and company announcements
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Visualization Engineer
Accelerate business outcomes by transforming raw data into actionable insights through strategic AI implementation, machine learning, and modern data platforms.
Education Requirements:
Microsoft Power BI Certification is a plus
Experience Requirements:
Minimum of 3 years of experience as a Power BI Developer or similar role
Proficiency in Power BI Desktop, Power Query, and DAX
Strong SQL skills and experience with data warehousing concepts
Experience with data transformation and data wrangling techniques
Experience with ETL processes and tools
Other Requirements:
Exceptional problem-solving and analytical skills
Strong attention to detail and commitment to data quality
Excellent communication and interpersonal skills
Team player with the ability to collaborate across departments
Proactive, self-motivated, and results oriented
Responsibilities:
Collaborate with business stakeholders to understand their data and reporting needs
Design, develop, and maintain data warehousing solutions
Utilize data transformation and wrangling techniques to prepare raw data
Write and optimize complex DAX calculations
Develop interactive and visually appealing dashboards and reports using Power BI
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Visualization Engineer – Intern
Accelerate business outcomes by transforming raw data into actionable insights through strategic AI implementation, machine learning, and modern data platforms.
Education Requirements:
Excellent, consistent academic record
Document work for academic deliverables as required
Experience Requirements:
Fundamental knowledge on database, data modelling and cloud services
Quick learning abilities and interest to learn Power BI, Power Query and DAX
Good SQL skills and knowledge of Power BI is an advantage
Knowledge of ETL processes and tools is an advantage
Other Requirements:
Team Player with exceptional problem-solving skills
Strong attention to detail and analytical skills
Proactive, self-motivated, team oriented and results oriented
Responsibilities:
Design, develop, and maintain data warehousing solutions
Utilize data transformation and wrangling techniques
Learn to write and optimize complex DAX calculations
Assist in developing dashboards and reports using Power BI
Maintain thorough documentation of data models, queries, and reports
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GenAI Architect
Accelerate business outcomes by transforming raw data into actionable insights through strategic AI implementation, machine learning, and modern data platforms.
Experience Requirements:
5+ years experience with Big Data Technologies (Spark, Kafka, Lakehouse)
Comfortable writing code in either Python or Scala
Experience in Artificial Intelligence (NLP, Deep-Learning, chatbots, Generative AI)
Proven track record of building and leading high-performing teams
Understanding of Generative AI methodologies (GANs, VAEs, Transformers)
Other Requirements:
Exceptional problem-solving and analytical skills
Strong attention to detail and commitment to data quality
Team player with the ability to collaborate across departments
Adaptability to a dynamic and fast-paced work environment
Excellent communication and presentation skills
Responsibilities:
Set-up a Gen AI Lab as a service offering
Develop comprehensive AI strategies and architectures
Lead AI projects from conception to implementation
Build and lead a Databricks Practice for the Company
Mentor junior AI team members and provide training
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Data Engineering – Intern
Accelerate business outcomes by transforming raw data into actionable insights through strategic AI implementation, machine learning, and modern data platforms.
Education Requirements:
Excellent, consistent academic record
Experience Requirements:
Fundamental knowledge on database, data modelling and cloud services
Interest to learn Azure data services
Coding knowledge in SQL and Python is an advantage
Familiarity with DevOps practices, CI/CD, and Infrastructure as Code
Other Requirements:
Excellent problem-solving skills and analytical thinking
Attention to detail
Proactive, self-motivated, and results oriented
Responsibilities:
Assisting in design and management of large-scale systems using Azure Databricks
Help design and optimize ETL processes with Azure Databricks
Develop and optimize SQL queries for ETL routines
Translate functional requirements into detailed architecture and software
Acquire knowledge towards Azure data engineering certification
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AI Engineer
Accelerate business outcomes by transforming raw data into actionable insights through strategic AI implementation, machine learning, and modern data platforms.
Education Requirements:
Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Experience Requirements:
Proven experience with machine learning frameworks (Keras, PyTorch, scikit-learn)
Strong programming skills in Python, R, or Java
Familiarity with cloud services (AWS, Google Cloud, Azure)
Experience in building and deploying AI systems into production
Experience with big data technologies
Other Requirements:
Innovative thinker with a passion for problem-solving
Excellent communication skills
Understanding of data structures, data modelling, and software architecture
Detail-oriented and capable of working independently or in teams
Responsibilities:
Develop and deploy machine learning models and AI solutions
Collaborate with data scientists and engineers to integrate AI systems
Conduct machine learning experiments using proven techniques
Apply advance analytics techniques to large data sets
Continuously evaluate and refine AI models for accuracy
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AI Engineer – Intern
Accelerate business outcomes by transforming raw data into actionable insights through strategic AI implementation, machine learning, and modern data platforms.
Education Requirements:
Bachelor’s degree in computer science, Artificial Intelligence, or Engineering
Experience Requirements:
Foundational knowledge of machine learning algorithms and principles
Proficiency in programming languages such as Python, R, or Java
Experience with machine learning libraries (TensorFlow, Keras, PyTorch) preferred
Basic understanding of data structures and software architecture
Other Requirements:
Good problem-solving skills
Strong communication skills
Proactive attitude and willingness to take initiative
Interest in further education and certifications in AI/ML
Responsibilities:
Assist in developing and refining AI models under supervision
Participate in deployment of ML algorithms into production
Support maintenance and improvement of existing AI systems
Engage in data pre-processing, cleaning, and analysis
Contribute to implementation of NLP and computer vision technologies
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Director of Enterprise Go-To-Market Strategy
Detect heart and lung disease earlier with FDA-cleared AI, noise-canceling digital stethoscopes, and real-time ECG visualizations for healthcare professionals.
Benefits:
Generous paid-time off
Stock incentive plans
Medical/Dental/Vision, Disability + Life Insurance
One Medical membership
Parental Leave
Education Requirements:
MBA
Experience Requirements:
8+ years in GTM strategy roles, and/or top tier management consulting experience
Advanced financial modeling experience
Extensive experience with executive presentation and deck development
Experience developing and executing commercial strategies in life science or health tech
Experience in a startup or high-growth environment
Other Requirements:
Highly fluent in and comfortable with complex clinical science
Quantitative analysis and financial modeling skills
A demonstrated passion for clinical and scientific concepts
Responsibilities:
Define the market opportunity in terms of unmet needs (clinical, operational, financial, TAM/SAM)
Work closely with clinical, product, and marketing teams to align value proposition with market opportunity
Establish the product value proposition in the context of customer unmet needs and buying dynamics
Develop and validate product positioning and messaging
Develop sophisticated market segmentation schemas and associated customer target profiles
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Director of Enterprise Sales - Telehealth
Detect heart and lung disease earlier with FDA-cleared AI, noise-canceling digital stethoscopes, and real-time ECG visualizations for healthcare professionals.
Benefits:
Generous paid-time off
Stock incentive plans
Medical/Dental/Vision, Disability + Life Insurance
One Medical membership
Parental Leave
Education Requirements:
Bachelor’s degree or equivalent practical experience
Experience Requirements:
8+ years of experience in enterprise sales, account management, or customer-facing leadership roles
Demonstrated success managing and growing enterprise healthcare accounts
Prior people management experience, including leading Account Executives and Account Managers
Experience selling telehealth, enterprise software, or platform-based solutions
Experience working in a startup or high-growth healthcare environment
Other Requirements:
Strong understanding of hospital and health system buying processes
Proficiency with CRM systems and standard sales and forecasting tools
Ability to travel up to 50%
Responsibilities:
Lead enterprise sales execution and revenue performance for Eko Telehealth across hospitals and health systems
Support and co-own strategic enterprise deals as a player-coach
Own account management, renewals, and expansion across existing health system customers
Own commercial relationships with key SDK and API licensing partners
Lead revenue growth, renewals, and expansion for SDK/API partners
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Head of Sales - SENSORA
Detect heart and lung disease earlier with FDA-cleared AI, noise-canceling digital stethoscopes, and real-time ECG visualizations for healthcare professionals.
Benefits:
Generous paid-time off
Stock incentive plans
Medical/Dental/Vision, Disability + Life Insurance
One Medical membership
Parental Leave
Education Requirements:
Bachelor’s degree or equivalent practical experience
Experience Requirements:
10+ years of enterprise sales experience in digital health, MedTech, or healthcare SaaS
Proven track record of closing complex enterprise deals with large hospitals and health systems
Experience selling new or category-creating technologies into healthcare environments
Demonstrated ability to operate as both a senior individual contributor and sales leader
Experience building or scaling an enterprise sales function in a high-growth environment
Other Requirements:
Strong knowledge of health system procurement and contracting
Experience building ROI-based value propositions
Ability to travel up to 70%
Responsibilities:
Own new business generation and enterprise revenue for SENSORA across large hospitals and IDNs
Personally lead and close complex, multi-stakeholder enterprise sales cycles
Develop and execute territory and account strategies across key enterprise segments
Build, mentor, and manage a small initial team of enterprise sellers
Establish trusted, multi-threaded relationships with senior stakeholders
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Sales Development Representative
Detect heart and lung disease earlier with FDA-cleared AI, noise-canceling digital stethoscopes, and real-time ECG visualizations for healthcare professionals.
Benefits:
Generous paid-time off
Stock incentive plans
Medical/Dental/Vision, Disability + Life Insurance
One Medical membership
Parental Leave
Education Requirements:
Bachelor’s degree or equivalent experience preferred
Experience Requirements:
3–5 years of experience in inside sales, retail sales, B2B sales, or call center environments
Comfort with high-volume outreach (phone, email, virtual meetings)
Experience working in CRM systems
Other Requirements:
Strong ability to communicate technical products clearly
Organized and detail-oriented
Responsibilities:
Respond quickly to inbound inquiries from customers purchasing for teams or departments
Qualify needs, provide guidance on options, and build tailored quotes
Proactively engage customers who place multi-device orders to understand future needs
Build and manage outreach to priority segments such as medical schools and EMS organizations
Lead virtual demos and product conversations as a subject matter expert
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Senior Clinical Implemention Lead
Detect heart and lung disease earlier with FDA-cleared AI, noise-canceling digital stethoscopes, and real-time ECG visualizations for healthcare professionals.
Benefits:
Generous paid-time off
Stock incentive plans
Medical/Dental/Vision, Disability + Life Insurance
One Medical membership
Parental Leave
Education Requirements:
Bachelor’s or Master’s degree in Nursing, Public Health, Health Administration, or Clinical Education
Experience Requirements:
5–7 years of experience in clinical enablement, real-world evidence research, or clinical education
Success implementing clinical technologies with measurable utilization outcomes
Working knowledge of clinical research principles (HIPAA, ICH-GCP)
Experience implementing medical devices or AI-enabled technologies
Experience with implementation science frameworks (e.g., RE-AIM, CFIR)
Other Requirements:
Deep understanding of U.S. healthcare delivery models and workflows
50-75% travel requirement
Exceptional communication skills for clinician audiences
Responsibilities:
Independently own and evolve clinical enablement strategy for SENSORA
Translate clinical and operational requirements into scalable training curricula
Partner with Product and Engineering to influence roadmap priorities based on workflow insights
Collaborate with Sales and Customer Success to support implementation strategies
Lead clinical enablement activities from pre-implementation through long-term optimization
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Implementation Manager
Improve patient outcomes with AI-powered medical imaging and care coordination for neurovascular and cardiac conditions, extending critical treatment windows.
Benefits:
Direct clinical impact
Autonomy and ownership
Education Requirements:
Bachelor’s Degree or equivalent professional experience
Experience Requirements:
At least 2 years of experience managing complex projects in healthcare or health-tech
Experience working directly with hospitals and healthcare IT departments
Strong background in imaging, neurovascular, or clinical environments
Proven ability to lead site kickoffs and manage multiple projects
Skilled in modality-to-PACS connectivity and DICOM configuration
Other Requirements:
Must be legally authorized to work in the United States
Visa sponsorship is not available
Willingness to work occasional odd hours
Ideally located in the Southeast region of the USA
Responsibilities:
Schedule and conduct project kickoff and update calls with hospitals
Act as primary liaison between hospitals and RAPID for successful implementation
Perform base level troubleshooting and protocol configuration
Coordinate server deployments and technical onboarding (HL7/PACS/DICOM)
Identify opportunities for account growth and expansion
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Clinical Success Consultant
Improve patient outcomes with AI-powered medical imaging and care coordination for neurovascular and cardiac conditions, extending critical treatment windows.
Benefits:
Equity awards
Short-term incentives
Education Requirements:
BS/MS in Nursing
Experience Requirements:
3+ years disease-specific leadership or hospital customer success experience
5 years of disease-specific acute clinical care experience
Neurovascular leadership (stroke program coordinator preferred)
Experience in medical device or SaaS industry is a bonus
Advanced disease-specific certification (SCRN/CCRN preferred)
Other Requirements:
Must reside in AL, AR, GA, KY, MS, NC, OH, SC, TN, VA, or WV
Ability to travel at least 25% within the assigned territory
Proficiency in MS Office (PowerPoint, Excel, Word)
Responsibilities:
Provide product training and expertise to internal and external customers
Guide hospital customers through onboarding and product launch
Establish and maintain relationships with key hospital stakeholders
Design and develop end-to-end workflows for disease-specific content
Analyze data for territory analysis and Quarterly Business Reviews
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