Benefits:

• Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office.

• Opportunity to be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.

• Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.

• Collaborative and supportive work environment, with a strong focus on personal and professional growth.

• Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.

Education Requirements:

• Bachelor’s degree in Computer Science, Mathematics, or a related technical field.

Experience Requirements:

• 3+ years of experience as a software or machine learning engineer.

• Strong programming skills and experience with production software development.

• Expertise in machine learning frameworks (e.g., PyTorch, Transformers, Scikit-learn), data libraries (e.g., NumPy, Pandas), and ML operations.

• Experience with cloud infrastructure and modern deployment practices (e.g., CI/CD, Git, Docker, AWS/GCP/Azure).

Other Requirements:

• Strong understanding of AI/ML evaluation and how to operationalize responsible, reliable systems.

• Strong communication and collaboration skills, with the ability to work cross-functionally with customers and internal teams.

• Passion for AI and a pragmatic approach to solving real-world problems.

Responsibilities:

• LLM Systems Engineering: Design and implement robust LLM-powered systems that deliver real business value. This includes model evaluation, prompt design, agent logic, pilot development, and production deployment.

• Customer Collaboration: Work closely with customer stakeholders to understand business pain points and technical constraints, then translate these into technical architectures and applications.

• Platform Development: Contribute to the development of Distillery, our internal platform for LLM application development, by building reusable components, tools, and infrastructure to support the broader engineering team.

• Production Quality: Ensure that deployed systems are observable, maintainable, and meet rigorous performance and reliability standards.

• AI Evaluation: Apply a scientific and thoughtful approach to model vetting and evaluation, accounting for accuracy, explainability, cost, latency, and robustness. Editorial Note: The original extract provided 7 distinct responsibilities. Given the schema limit of 5, the responsibilities

Benefits:

• An opportunity to advance the cutting-edge of LLM research and directly revolutionize work in the enterprise space.

• Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.

• Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.

• Competitive salary and benefits package, including equity options and healthcare.

• Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity. Editorial Note: The original extract provided 6 distinct benefits. Given the schema limit of 5, the last benefit, "A collaborative and intellectually stimulating environment that encourages innovation and personal growth.", was omitted to adhere to the constraint.

Experience Requirements:

• Exceptional Software Engineering Skills: AI’s rapid evolution means code written today might not be useful tomorrow. We need engineers who know how to design and write stable, maintainable, and secure systems that are able to evolve. We use Python but are open to strong experience in other languages.

• Experience with AI Systems: You should know how to build a RAG system, done prompt engineering, and know the difference between precision and recall. While you'll partner with our Research Team to design these systems, you must be able to do the work to drive a POC to a production grade AI tool.

Other Requirements:

• Strong Communication and Organizational Ability: As the project technical lead, you will own relationships with customer technical teams, develop a plan with Distyl’s Project Leads, and work with the rest of the engineering team to deliver.

• Understanding of Enterprise Cloud Architectures: Our systems are deployed into our customer's environments, often into complex hybrid cloud environments. Our business is won on our Lead AI Engineer’s abillity to be trusted by customer enterprise architecture teams.

• Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.

Responsibilities:

• Develop Production Grade AI Systems: For many of our customers we are their only successful GenAI project (and not for the lack of trying). This is because our AI Engineers are experts at understanding how to use software to tame the complexity of AI. They understand power and limits of both AI and Software and build systems which bring the best of both.

• Own End to End Delivery of Custom AI Solutions: Lead AI Engineers are responsible for architecting the solution, partnering with customer engineers to deploy into the customer’s environment, and then ensure the system operates as intended.

• Earn Our Customer's Trust: AI's power has yet to be fully realized, but there are already a lot of broken promises. All Distillers are customer facing and our engineers are responsible for making sure our promises are kept. You will partner with our AI strategists and researchers to devise a solution, present it customer enterprise architects, and then educate them on how our system works.

Benefits:

• An opportunity to advance the cutting-edge of LLM research and directly revolutionize work in the enterprise space.

• Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.

• Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.

• Competitive salary and benefits package, including equity options and healthcare.

• Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity. Editorial Note: The original extract provided 6 distinct benefits. Given the schema limit of 5, the last benefit, "A collaborative and intellectually stimulating environment that encourages innovation and personal growth.", was omitted to adhere to the constraint.

Experience Requirements:

• Exceptional Software Engineering Skills: AI’s rapid evolution means code written today might not be useful tomorrow. We need engineers who know how to design and write stable, maintainable, and secure systems that are able to evolve. We use Python but are open to strong experience in other languages.

• Experience with AI Systems: You should know how to build a RAG system, done prompt engineering, and know the difference between precision and recall. While you'll partner with our Research Team to design these systems, you must be able to do the work to drive a POC to a production grade AI tool.

Other Requirements:

• Strong Communication and Organizational Ability: As the project technical lead, you will own relationships with customer technical teams, develop a plan with Distyl’s Project Leads, and work with the rest of the engineering team to deliver.

• Understanding of Enterprise Cloud Architectures: Our systems are deployed into our customer's environments, often into complex hybrid cloud environments. Our business is won on our Lead AI Engineer’s abillity to be trusted by customer enterprise architecture teams.

• Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.

Responsibilities:

• Develop Production Grade AI Systems: For many of our customers we are their only successful GenAI project (and not for the lack of trying). This is because our AI Engineers are experts at understanding how to use software to tame the complexity of AI. They understand power and limits of both AI and Software and build systems which bring the best of both.

• Own End to End Delivery of Custom AI Solutions: Lead AI Engineers are responsible for architecting the solution, partnering with customer engineers to deploy into the customer’s environment, and then ensure the system operates as intended.

• Earn Our Customers' Trust: AI's power has yet to be fully realized, but there are already a lot of broken promises. All Distillers are customer facing and our engineers are responsible for making sure our promises are kept. You will partner with our AI strategists and researchers to devise a solution, present it customer enterprise architects, and then educate them on how our system works.

Benefits:

• Competitive salary and benefits package, including equity options and healthcare.

• The opportunity to work at a mission-driven AI startup that is transforming how Fortune 500 companies operate.

• A fast-paced, dynamic work environment where your contributions will directly impact the company’s success.

• A collaborative culture that values professional growth and encourages taking on new responsibilities.

• Exposure to cutting-edge AI technologies and the opportunity to support a world-class team.

Experience Requirements:

• Experience: 1-3 years in a role focused on office management or administrative support, ideally in a startup or fast-paced environment.

Other Requirements:

• Skills: Strong organizational and time-management skills, with the ability to manage competing priorities and handle confidential information.

• Attention to Detail: Exceptional attention to detail, ensuring precision in all tasks and processes.

• Communication: Excellent verbal and written communication skills, with the ability to collaborate effectively across teams.

• Problem-Solving: A proactive and resourceful mindset, with a knack for identifying and resolving operational challenges efficiently.

• Logistics: This is a hands-on role where you'll be

Responsibilities:

• NY Office Management – 20% - Ensure the New York office is clean, stocked, and operational. Own office logistics, supplies, visitor experience, and support an upcoming office move.

• Culture & Engagement – 10% - Coordinate team events, celebrations, swag, and engagement programs that foster connection across offices. Support internal communications and feedback loops to continuously improve the employee experience.

• Onboarding Support – 10% - Deliver a smooth onboarding experience for new hires across NY and SF, including Day 1 logistics, scheduling, and in-person support. Coordinate onboarding communications, account setup, and monthly onboarding cohorts.

• Recruiting Coordination – 30% - Manage interview scheduling and candidate logistics across phone, video, and onsite interviews. Partner with recruiters and hiring managers to ensure a seamless, timely, and positive candidate experience. Own onsite interview operations for the NY office and help resolve scheduling changes efficiently.

• Administrative Operations – 30% - Support day-to-day operational needs, including recurring admin tasks, internal tracking, and IT coordination. Assist with planning and logistics for team offsites, colocations, and cross-functional projects.

Benefits:

• Flexible PTO to facilitate strong work-life balance

• Paid parental leave

• Extensive benefit options including healthy lifestyle reimbursement, 401(k) matching, HSA/FSA, dental, vision, and mental health coverage

• Daily catered lunches from locally-owned restaurants and diverse snack offerings

• Employee-led groups (run club, disc golf club, and book club)

Experience Requirements:

• Previous management experience preferred

• At least 1 year of experience in SaaS sales, AE experience preferred

• Understanding of B2B software is required

• Experience selling through cold calling required

• Track record of leading a team that consistently meets and exceeds goals

Other Requirements:

• Naturally curious, empathetic, accountable and analytical

• Strong passion for leading individuals

• Ability to clearly set and communicate expectations for each member of your team

Responsibilities:

• Train a team of SDRs responsible for cold calling prospects and setting appointments

• Achieve daily, weekly, and monthly sales goals, compare performance to goals, and adjust goals as needed

• Help create a fun, high energy environment where people love coming to work

• Coach, mentor, and provide feedback to team members

• Foster a competitive yet collaborative team environment

Benefits:

• Flexible PTO to facilitate strong work-life balance

• Paid parental leave

• Extensive benefit options including healthy lifestyle reimbursement, 401(k) matching, HSA/FSA, dental, vision, and mental health coverage

• Daily catered lunches from locally-owned restaurants and diverse snack offerings

• Employee-led groups (run club, disc golf club, and book club)

Experience Requirements:

• Previous cold calling experience a plus, but not required

Other Requirements:

• Strong desire to succeed and build a career in sales

• Ability to self-motivate and succeed in a fast-paced role

• Willingness to ask for help and an openness to being coached

• Ability to multitask, organize, and prioritize work

Responsibilities:

• Focus on outbound prospecting small businesses across the U.S. (130 cold calls) with leads that are provided to you

• Book demos for your Senior Account Executives and ramp up to 3 demos/day over time and with training

• Reach out and confirm their attendance at their scheduled demo

• Help drive strategic, top-of-the-funnel lead generation through targeted cold-calling

• Consistently update your activities, opportunities, and account information in our CRM

Education Requirements:

• BSc in Computer Science or equivalent

Experience Requirements:

• 7+ years of experience in software development

• 5+ years of experience with Node.js

• Expert knowledge of Python capabilities and limitations

• Understanding of front-end concepts and technology (React, TypeScript)

• Experience with relational databases (such as PostgreSQL)

Other Requirements:

• Excellent communication skills

• Organized and self-driven

• Familiarity with Agile development methodologies

• Ability to work in high-paced and dynamic start-up environments

• An all-star team player with a “can do” attitude

Responsibilities:

• Design and build our scalable enterprise-grade control plane using industry best practices focusing on quality, performance, and delivery.

• Write well-crafted, tested, readable, and maintainable code.

• Participate in code design, code review, and distribution knowledge.

• Develop distribution and deployment tools for different platforms.

• Collaborate with data-scientists, product managers and other team members to ensure high-quality and timely deliverables.

Experience Requirements:

• Proven experience building enterprise products and delivering solutions to large organizations.

• Experience in cybersecurity is highly preferred.

• Hands-on leadership

• Startup-savvy

• Strategic mindset

Other Requirements:

• Based in Israel with the flexibility to work across time zones.

• Excellent collaboration skills with experience working closely with founders, engineers, and stakeholders.

• A doer who can roll up their sleeves and execute on product strategy.

• Comfortable navigating uncertainty, leading cross-functional teams, and switching contexts efficiently.

• Able to think big while staying tactical to achieve immediate results.

Responsibilities:

• Collaborate with founders and engineers to shape the product vision and roadmap.

• Build enterprise-grade solutions, ensuring the product meets the needs of large, complex organizations.

• Own the product lifecycle, from early development to market release and scale.

• Lead efforts to align product development with customer needs, focusing on cybersecurity and AI.

• Design and implement a strategic roadmap with both short-term wins and long-term goals.

Education Requirements:

• At least a B.Sc. in Computer Science, Data Science, Engineering, or a related field

Experience Requirements:

• 3+ years of hands-on experience in data science or applied ML

• Strong Python skills and experience with ML/NLP libraries (e.g., pandas, scikit-learn, Hugging Face, PyTorch)

• Solid understanding of NLP tasks, especially document-level classification and reasoning

• Experience working with production-level data and noisy datasets

Other Requirements:

• Comfortable working in a fast-paced, early-stage startup environment

• Bonus: experience with sensitive data detection, document parsing, or vector databases

Responsibilities:

• Develop and refine various types of models for extracting and interpreting information.

• Work with a range of data formats to uncover meaningful insights.

• Utilize modern machine learning techniques and representations for data understanding.

• Continuously test and enhance approaches to improve practical outcomes.

• Partner with different teams to integrate intelligent systems into workflows.

Education Requirements:

• BASLP

Education Requirements:

• BASLP

Education Requirements:

• BOT/MOT

Education Requirements:

• Psychologist qualification

Education Requirements:

• B.Sc. or higher in Computer Engineering, Electrical Engineering, or related field

Experience Requirements:

• 7+ years of hands-on experience in embedded systems development

• Strong proficiency in C/C++ and familiarity with ARM-based SoCs

• Experience with bootloaders (e.g., U-Boot), Linux kernel internals, and device drivers

• Proven experience with board bring-up and hardware/software integration

• Previous leadership or team management experience is a must

Other Requirements:

• Excellent problem-solving, communication, and interpersonal skills

• Familiarity with Yocto, Buildroot, or other embedded build systems is a plus

Responsibilities:

• Lead the BSP / Embedded development team, providing technical direction, mentorship, and guidance

• Design, develop, and maintain BSP components including bootloaders, device drivers, and board initialization code

• Collaborate with hardware teams to bring up new boards and support silicon validation

• Ensure seamless integration of BSP with Linux (or other OS) kernels and embedded software stacks

• Define and enforce coding standards, development processes, and quality benchmarks

Education Requirements:

• recent graduate from an accredited degree program

Experience Requirements:

• 1-2 years of experience in real estate, sales, customer service or similar fields

Other Requirements:

• active real estate license, or an inactive license that is eligible for reactivation

• Exceptional interpersonal and communication skills, both written and oral

• Detail-oriented, determined self-starter

• Comfortable working in a fast-paced, high volume environment

• Experienced with Google Workspace and Microsoft Office (Excel, Word)

Responsibilities:

• Drive selling opportunities for Entera by consistently executing on Entera’s sales SOPs

• Constantly improve your delivery of Entera’s Real Estate sales collateral and selling scripts

• Develop and maintain a deep knowledge of local real estate market conditions, trends, and various strategies for single-family residential investing

• Seamless collaboration with all departments to address inquiries, requests and issues

• Manage internal administrative tasks, including information gathering, tracking, analysis, and reporting

Benefits:

• Competitive salary and benefits package

• Opportunities for growth and professional development

• A dynamic and inclusive work environment

• The chance to work on cutting-edge projects that impact the future of software development

Experience Requirements:

• Proven experience as a UX Engineer or similar role, with a strong portfolio showcasing your UX design and front-end development work

• Proficiency in front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular

• Experience with design tools such as Sketch, Figma, or Adobe XD

• Strong understanding of user-centered design principles and best practices

• Ability to create wireframes, prototypes, and high-fidelity mockups

Other Requirements:

• Experience in working with AI-driven platforms

• Knowledge of accessibility standards (WCAG) and best practices

• Familiarity with user testing tools and analytics platforms

Responsibilities:

• Design and implement user interfaces that are intuitive, efficient, and engaging

• Collaborate with designers, product managers, and developers to translate user needs and business requirements into interactive and functional user interfaces

• Conduct user research, usability testing, and feedback analysis to inform design decisions

• Ensure all UI/UX designs adhere to best practices in accessibility, scalability, and responsiveness

• Develop and maintain design systems and documentation to ensure consistency across the platform

Benefits:

• private health insurance

• extra paid day off for your birthday

• flexible sick leave policies

• two weeks of additional paid parental leave

• focus on career development

Experience Requirements:

• 5+ years working in infrastructure (SysAdmin, SRE, SysOps roles)

Other Requirements:

• Confident with Linux and Windows systems

• Strong Git and version control experience

• Experience with Infrastructure-as-Code (especially Terraform)

• Deep understanding of AWS

• Familiarity with networking protocols and Unifi tools

Responsibilities:

• Help build the infrastructure powering next-generation computer vision technology

• Help scale and support Eyecue, Fingermark’s computer vision intelligence platform

• Build and maintain hybrid infrastructure across cloud (AWS) and on-premise environments

• Play a key role in enabling seamless deployment across cloud, edge, and extreme edge devices

• Helping to operationalise computer vision and machine learning at scale

Benefits:

• In-house lunch

• Pension Plan

• Private Health insurance

• Parental leave benefits

• Workstation (including necessary equipment)

Experience Requirements:

• Minimum 3-4 years of experience in EA, PA, or executive project support roles, preferably supporting senior leadership and Thought Leadership initiatives.

• Proven expertise in managing complex calendars and coordinating across global time zones.

• Experience in driving PR activities, event coordination, and media outreach.

Other Requirements:

• Strong organizational and execution skills - able to push initiatives forward without overstepping decision-making boundaries.

• Excellent written and verbal communication skills.

• Fluency in English, with additional professional proficiency in Danish is an advantage.

• Comfortable working independently, driving projects, and ensuring progress behind the scenes.

Responsibilities:

• Strategically manage and prioritize the CEO's calendar

• Coordinate and facilitate strategic workstreams, such as workshops, leadership meetings, and follow-ups, ensuring continuity and flow

• Drive PR and Thought Leadership initiatives: proactively identify and secure opportunities for speaking engagements, interviews, media contributions, and event appearances.

• Collaborate closely with marketing, customer experience (CX), sales, and other internal teams to ensure seamless communication and maximize visibility initiatives.

• Support internal communications, helping maintain a connected and energized organization.

Benefits:

• In-house lunch

• Pension Plan

• Private Health insurance

• Parental leave benefits

• Workstation (including necessary equipment)

Education Requirements:

• Degree in Computer Science, Engineering, or related field

Experience Requirements:

• 8-10+ years in technical roles, including 5+ years in engineering leadership (Head/Director level).

• Proven track record in scaling tech teams within AI, SaaS, or data-driven B2B companies.

• Strong technical strategy execution, balancing long-term vision with short-term goals.

• Strong architectural expertise with the ability to code and mentor teams.

• Experience with DevOps, cloud-native infrastructure, and modern software practices.

Other Requirements:

• Proficiency in our tech stack - Python, Django, FastAPI, React, TypeScript, and GCP (expertise in front-end or back-end is a plus).

• Passion for simplifying complex systems into scalable, modular components.

• Excellent communication and leadership skills, fostering innovation and collaboration.

• Product mindset - able to align engineering decisions with customer impact.

• SaaS scaling experience - designing for high-volume, high-growth environments.

Responsibilities:

• Own and drive the technical roadmap, ensuring scalability, performance, and reliability.

• Lead and monitor a high-performing engineering team (currently 7 engineers).

• Define and align technical strategy with product goals in collaboration with the CPO.

• Optimize and simplify systems to handle high growth and scalability.

• Foster cross-functional collaboration across engineering, AI, product, and client-facing teams.

Education Requirements:

• Bachelor's degree

Experience Requirements:

• 2-5 years of physician or APP recruitment experience; Radiologist recruitment experience is a plus

• Experience using traditional and nontraditional resources to identify and attract quality candidates

Other Requirements:

• Exceptional partner to stakeholders at all levels, bringing to the table a solid emphasis on accountability, rigor, and high standards for talent

• Excellent oral, written, and interpersonal skills

• Strong problem-solving skills, critical thinking, and a proactive approach are essential

Responsibilities:

• Use various platforms to identify and reach out to potential physician candidates

• Source talent for a variety of physician positions to support the medical practice

• Create and manage job postings for physician roles, ensuring that they are clear, accurate, and appealing to potential candidates

• Create and execute effective and diverse sourcing strategies, including referral networks, internal sourcing efforts, external platforms, and managing relationships with search firms

• Execute a high-caliber candidate experience, driving candidate communication and progression and advising leaders to ensure timeliness and efficient decision-making