Incubates technology companies for healthcare and security
Candidates should possess a Bachelor's degree in Computer Science, Engineering, or a related technical field, along with a strong understanding of cybersecurity principles and technologies. Experience with Python scripting and API integrations is preferred, and familiarity with Salesforce is beneficial.
The ideal candidate should have demonstrated experience scaling a startup engineering organization to 50+ employees, possess strong technical depth with cloud platforms and services such as AWS, Azure, or GCP, and exhibit exceptional communication and interpersonal skills. Furthermore, they should have a passion for cybersecurity and generative AI technologies, and experience delivering generative AI solutions or products is considered beneficial.
The VP, Marketing will lead the vision, strategy and execution of data driven marketing ecosystem efforts, establishing comprehensive growth, partner and channel marketing strategies to drive awareness, demand generation, and customer engagement. They will also develop, manage and optimize the marketing budget to ensure maximum ROI, and mastermind event and activation strategies in collaboration with Revenue.
Candidates should possess a Bachelor’s or Master’s degree in Machine Learning, Computer Science, Data Engineering, or a related field, along with proven experience in developing, optimizing, and deploying ML systems in production environments. Strong proficiency in Python, coupled with expertise in ML frameworks such as TensorFlow or PyTorch, is required, alongside extensive knowledge and hands-on experience in fine-tuning large language models for specific use cases. Clear communication skills …
Candidates should possess a Master’s or PhD in Computer Science, Machine Learning, or a related field with a focus on ML research, demonstrating expertise in ML model training and optimization, deep knowledge of language model fine-tuning, proficiency in ML frameworks such as TensorFlow, PyTorch, and strong programming skills in Python with an emphasis on efficient and maintainable code.
Candidates should possess a Bachelor’s degree in any field, with an advanced degree being a plus, and have at least 10 years of experience in engineering leadership roles, including at least 5 years managing managers and building engineering organizations. They should demonstrate experience scaling engineering teams through periods of rapid growth (3x+ headcount increase) in high-growth technology companies, particularly in B2B SaaS or enterprise software, and possess a strong track record of im…
Candidates should possess a Bachelor’s or Master’s degree in Machine Learning, Computer Science, Data Engineering, or a related field, along with proven experience in developing, optimizing, and deploying ML systems in production environments. Strong proficiency in Python and experience with ML frameworks like TensorFlow or PyTorch is required, alongside a solid understanding of model training and pipeline management. Extensive knowledge and hands-on experience in fine-tuning large language mode…
Candidates should have 5+ years of experience in cybersecurity operations including incident response, detection engineering in government or commercial with a preference for commercial, thorough working knowledge of security tools like Splunk, Microsoft Defender for Endpoint, Microsoft Sentinel, and point solutions, a thorough understanding of security data flows and integrations, and a strong technical background with the ability to collaborate effectively with engineering teams. Self-starter…
Candidates should possess a Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, and a minimum of five years of full stack engineering experience. Proficiency in programming languages such as Python and Javascript is required, along with experience developing responsive, scalable frontends and APIs, and familiarity with data structures, algorithms, and software design. Furthermore, candidates must have experience with cloud-based solutions like AWS, GCP, o…
Candidates should possess a strong work ethic and entrepreneurial spirit, and believe in a mission-driven approach to solving problems.
Candidates should possess expertise in AI, mathematical optimization, and analytics. A forward-thinking and technically adept mindset with a passion for mathematical modeling and optimization is required. Experience in driving the development and deployment of optimization models to production is a plus.