Benefits:

• comprehensive health insurance

• professional development opportunities

Education Requirements:

• Bachelor's degree or equivalent experience

• military experience welcomed

Experience Requirements:

• Proven experience in sales development, business development, or similar roles, with a track record of meeting or exceeding sales targets

• Strong understanding of technical concepts, particularly in cybersecurity, and the ability to communicate them effectively to various stakeholders

• Hands-on experience with multiple sales techniques, including cold calls and email campaigns

• Proficiency in CRM software (e.g., HubSpot and Salesforce) and MS Excel for tracking and analyzing sales metrics

• Excellent communication and presentation skills

Other Requirements:

• Ability to thrive in a fast-paced, dynamic environment

Responsibilities:

• Efficiently direct Sales Qualified Leads (SQLs) to the appropriate sales teams, prioritizing high-impact opportunities

• Conduct engaging and informative product demos to prospective clients, showcasing the value and capabilities of Veriti’s solutions

• Identify and develop new business opportunities through proactive outreach, including cold calls, emails, and networking

• Work closely with the marketing team to align strategies, optimize lead generation efforts, and execute field marketing initiatives

• Document all activities and interactions in CRM software (e.g., HubSpot and Salesforce) to ensure accurate tracking, follow-up, and pipeline management

Benefits:

• Flexible/unlimited vacation

• Medical coverage through BlueShield and Kaiser

• Dental and Vision coverage through Beam

• 401(k) Plan

• Life insurance

Experience Requirements:

• Strong technical acumen with experience in data analysis, AI-driven solutions, and an ability to effectively communicate complex technical topics.

• Familiarity with analytics tools, APIs, and AI/ML applications in business settings.

• Proven track record of exceeding sales targets and closing high-value deals.

• Excellent communication, negotiation, and relationship-building skills.

• Self-motivated, results-oriented, and adaptable in a fast-paced, high-growth environment眼里

Other Requirements:

• Experience with Salesforce, ZoomInfo, and other sales prospecting tools.

• Strong problem-solving skills and the ability to think strategically about customer needs.

• Coachable, open to feedback, and committed to continuous improvement.

• Previous experience in a startup environment.

• Experience selling AI-powered, data-driven, or analytics-based software solutions眼里

Responsibilities:

• Own and manage the entire sales cycle, from prospecting to contract negotiations and closing deals.

• Identify, qualify, and develop relationships with key decision-makers in target accounts.

• Conduct product demonstrations and sales presentations, effectively translating technical features into business value including answering in depth questions related to AI (artificial intelligence), NLP (natural language processing), and ML (machine learning)

• Collaborate with SDRs to optimize lead generation and pipeline development based on real time, AI (Artificial Intelligence) generated data pulled directly from data studio.

• Maintain a strong pipeline of qualified opportunities and accurately forecast sales performance眼里

Benefits:

• Stock Options

• Flexible Vacation Policy

• Medical coverage through BlueShield and Kaiser

• Dental and Vision coverage through Beam

• 401(k) Plan

Experience Requirements:

• At least three years in a customer-facing role

• High-energy and passionate about making customers successful and helping them exceed their business goals

• Program or project management experience ideally focused on onboarding or customer processes

• Clear written and verbal communication skills, along with the ability to craft compelling presentations for both technical and business audiences

• Customer empathy to listen and understand the unique needs of customers眼里

Other Requirements:

• The utmost integrity in your customer interactions and collaboration with unitQ team members

• Adaptability to try new ways of doing things with the ability to learn from failures and move on

• Experience working for a high-growth stage startup

• Will work in our SF office on Mondays, Tuesdays, Thursdays, Fridays unless at in-person customer meetings眼里

Responsibilities:

• Serve as the point of contact for customers and systematically track and address all customer questions and requests

• Lead new customer onboardings working in close conjunction with Sales and Operations teams

• Drive improvements for the onboarding process to reduce the time to onboard and improve the customer experience

• Proactively engage customers through regular touchpoints to deliver insights and help customers operationalize unitQ's data across their teams

• Deeply understand customers' perception of ROI and actively communicate ROI of the unitQ platform眼里

Benefits:

• Stock Options

• Flexible Vacation Policy

• Medical coverage through BlueShield and Kaiser

• Dental and Vision coverage through Beam

• 401(k) Plan

Experience Requirements:

• 3-5 years of customer support experience

• Experience in a high-tech SaaS industry

• Management or lead experience

• English - proficient in reading and writing

• Strong attention to detail

Other Requirements:

• Self-motivated with ability to work independently as well as thrive in a virtual team environment

• Strong commitment to working in a support role with a virtual team

• Constant communication with your team and other departments to keep an open dialogue going at all times

• Flexibility with special projects from time to time

• Ability to work to specified KPIs and performance expectations眼里

Responsibilities:

• You will learn and understand technical concepts and our platform and solutions

• You will perform problem analysis and deliver concise resolutions

• You will be the point of contact to help champion our customers and help to rally internal team members towards issue resolutions and data processing

• You will initiate creative solutions to resolve problems

• Ability to work to specified KPIs and performance expectations眼里

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.

Experience Requirements:

• Operational Experience: A proven record in managing complex projects or strategic leadership roles, with demonstrable experience in client-facing positions within AI or technology integration.

Other Requirements:

• Exceptional Communication Skills: Capable of earning customer trust and liaising effectively between clients and internal teams.

• User Empathy and Customer Focus: A deep sense of user empathy and a customer-obsessed approach, ensuring solutions are technically sound and aligned with customer needs.

• Thrive in Ambiguity: Ability to identify critical problems in complex situations, define outcomes, and create structure among competing priorities.

• AI Passion: A passion for AI and optimism about its potential to impact the world.

• Coding Experience: Proficiency in programming, scripting, or statistical packages (e.g., Python, R, Matlab, SQL).

• Travel: Ability to travel 25-75%, varying by team.

Responsibilities:

• Earn Customer Trust: Demonstrate customer empathy and be the face of Distyl, managing relationships from end-users to executive stakeholders.

• End-to-end Workflow & Outcome Ownership: Identify the most valuable problems to solve. Embed yourself in the customer's workflow to understand it better than the users themselves. Ensure high accuracy and reliability to achieve the desired outcomes. Take ownership and accountability for the success of the customer engagement.

• Leadership: You and a technical lead will be jointly responsible for leading a team to deliver results to the customer.

• Data Analysis: Navigate noisy enterprise data to identify how AI can create reliable outcomes despite real-world constraints.

• User Adoption: Onboard users to our enterprise applications and platform, ensuring they realize value. Editorial Note: The original extract provided 6 distinct responsibilities. Given the schema limit of 5, the last responsibility, "Product Feedback", was omitted to adhere to the constraint.

Benefits:

• 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.

• 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.

Experience Requirements:

• 3+ years of product design experience in SaaS or enterprise tech.

Other Requirements:

• Proficiency in Figma (or equivalent tools like Adobe XD, Sketch).

• Strong ability to balance execution with strategy - refine designs quickly while proposing broader, long term improvements.

• Experience working within brand guidelines.

• Clear communication & problem -solving skills - ability to justify design decisions and iterate quickly and effectively.

Responsibilities:

• Demonstrate UX Process Contribution - Able to clearly articulate design process, problem solving approach and contributions to the process.

• Lead End-to-End Design - Own the design process from concept to execution, working across interaction models, user flows, prototypes, and visual design to create seamless user experience.

• Enhance Product & UX Strategy - Balance short-term design execution with long-term product improvements Work in a Fast-Paced Environment - Adapt quickly to evolving requirements, refine in-flight designs, and make impactful decisions on tight timelines.

• Collaborate & Advocate for Design - Work cross-functionally with Engineers, Strategists, Researchers, and other stakeholders to ensure alignment while advocating for the best user experience.

• Maintain & Evolve Design Systems - Ensure consistency across the product by leveraging and refining existing design systems while contributing to future improvements.

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:

• 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.

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:

• 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.

Benefits:

• Play a pivotal role in shaping how Corti tells its story to the world.

• Work closely with executives and teams across the business to shape corporate messaging.

• Enjoy a strong compensation package, including salary, equity options, and benefits.

• Lead global projects, develop high-visibility campaigns.

• Be part of a fast-growing, world-leading healthcare AI company.

Experience Requirements:

• 8+ years of experience in public relations, corporate communications, media strategy, ideally within technology/AI-driven industries.

• Both agency and in-house experience preferred.

• Highly organized and detail-oriented, with experience running an editorial calendar and executing high-quality content.

• Strong media relations experience, with established relationships in tech, business, and ideally healthcare press.

• Exceptional writing and editorial skills, with the ability to translate complex technical topics into compelling narratives.

Other Requirements:

• Healthcare experience preferred but not required.

Responsibilities:

• Own and execute a high-impact editorial calendar, ensuring clear, consistent storytelling across global product, corporate, and executive communications.

• Craft strategic, data-driven narratives that strengthen Corti’s market position.

• Expand reach and credibility by engaging industry influencers, analysts, and key opinion leaders.

• Elevate Corti’s executives and technology through thought leadership initiatives.

• Build and maintain strong media relationships to secure impactful coverage.

Benefits:

• Work closely with healthcare technology professionals, continuously learning and growing.

• Be part of an autonomous, team-oriented culture.

Education Requirements:

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Experience Requirements:

• 3-5 years of experience in cloud infrastructure, DevOps, or platform engineering.

• Proficiency in Kubernetes administration and containerised application deployment.

• Experience working with event-driven architectures and message brokers (especially Kafka).

• Strong understanding of observability tools like Grafana or Datadog for monitoring and troubleshooting.

• Hands-on experience with Kubernetes, container orchestration, and cloud infrastructure (AWS, GCP, or Azure).

Other Requirements:

• Excellent English verbal and written communication skills, including all-remote communication.

Responsibilities:

• Help partners with Day 1 and Day 2 operations for forward-deployed AI Platform installations, ensuring smooth deployment and ongoing functionality.

• Feedback areas of improvement that will simplify operation at the partner site and enhance the overall performance of our solutions.

• Enable partners to get the most out of their forward-deployed components through technical guidance, troubleshooting, and optimization.

• Serve as the technical bridge between Corti's engineering team and healthcare partners, translating requirements in both directions.

• Monitor and maintain deployed systems, diagnosing and resolving issues proactively before they impact operations.

Benefits:

• You’ll get to help redefine how we work with AI.

• You’ll learn much more about machine learning, generative AI, healthcare, product, and commercial excellence.

• You’ll work in a multidisciplinary company with over 28 nationalities anchored in a flat meritocracy.

• You’ll work with some of the smartest people you have met.

Education Requirements:

• Bachelor’s degree in Information Security, Computer Science, Information Technology, or a related field; Master’s degree or relevant certifications (e.g., CISSP, CISM, CISA) preferred.

Experience Requirements:

• 3+ years of experience in an IT Engineering role, focusing on security, compliance, project management and IT troubleshooting.

• An interest in modern security best-practices and containerized production environments using Kubernetes.

• Strong understanding of IT infrastructure, networking, and security technologies such as Azure Entra ID, VLAN’s, IPMI/BMC, XDR and NGAV.

• A passion for automation, a strong sense of quality and a practical approach to problem-solving.

• Experienced in server and endpoint device management, including Windows, MacOS, and Linux operating systems, including the use of MDM.

Other Requirements:

• Occasional travel required to data centres for on-site support

Responsibilities:

• Assessed and responded to all operational cybersecurity-related incidents according to Corti's relevant policies and procedures.

• Resolved all reported incidents quickly and effectively according to our internal SLAs and standards.

• Ensured operational effectiveness and planning capacity of the network and data center infrastructure.

• Supported the development and operations of our datacenter infrastructure to allow our engineers to focus on the product.

• Support company-wide operational IT and security policies in Drata, and ensured that Cortians adhere to them.

Benefits:

• comprehensive health, dental, and vision insurance

• generous PTO

• 401K plan

Education Requirements:

• JD and active membership in a US state bar

Experience Requirements:

• 5+ years experience primarily focused on commercial contracting in an in-house context, working with a range of common contracts, demonstrating a deep knowledge of commercial contracting

• Experience working with product teams in the development of new features

Other Requirements:

• Ability to write contract language and guidance that is clear and practical

• Ability to translate legal concepts clearly and persuasively into written sales, marketing, and help center materials

• Deeply interested and active in learning and developing expert-level knowledge in new contract areas

• Driven to set a high standard and continuously improve

• You are organized and have high attention to detail

Responsibilities:

• Create legal content that powers our AI – including creating contract review playbooks, model contract language, practical guidance that explains contract provisions and provides insights for negotiation, and contract templates

• Translate legal concepts clearly and persuasively into help center articles and sales and marketing training materials

• Learn and develop expert-level knowledge in new contract areas

• Support Customer Success and Sales with client facing calls for training and assistance

Benefits:

• comprehensive health, dental, and vision insurance

• generous PTO

• 401K plan

Experience Requirements:

• Deeply comfortable and excited about developing next generation experiences and solutions with GenAI

• Data driven and focused on setting and driving key performance metrics like monthly active users and NPS

• Ability to hire, lead, and coach top product management talent

• You have a bias for action, and a deep understanding of design-thinking and iterative, customer-focused product development

• JD or substantive experience in the legal field / legal technology (Preferred)

Other Requirements:

• Customer-focused and demonstrated ability to effectively engage directly with customers

• Demonstrated ability to communicate clearly and effectively with customers and internal stakeholders at all levels of the organization

• Organized and detail-oriented, able to keep multiple complex projects on track simultaneously

• Relentlessly resourceful – able to get things done despite constraints, roadblocks, and setbacks

• Japanese language skills (Bonus)

Responsibilities:

• Craft the product strategy for our legal AI products serving professionals in the US, Japan, and around the world

• Work closely with customers to ensure our product is easy to learn, easy to use, and delivers compelling value that drives regular user engagement

• Work closely with engineering teams in the US and Japan in an iterative development environment to adapt and create new features that delight customers, driving a high Net Promoter Score and a high win rate for our sales team

• Deeply understand all of our customer personas to analyze pain points, set priorities, and create solutions

• Effectively represent and communicate the product’s strategy, roadmap, challenges, needs and value proposition to internal teams (including engineering, sales, design, and senior leadership) as well as customers

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience

Experience Requirements:

• Strong Programming

• Experience with AWS

• Experience with Kubernetes

• Experience with Terraform

Other Requirements:

• Work Authorization Required

• Unable to relocate new hires

• Excellent problem-solving skills

• Strong communication skills

Responsibilities:

• Design and manage cloud infrastructure, primarily in AWS, ensuring scalability and reliability.

• Deep expertise in Kubernetes for orchestrating containerized applications.

• Implement CI/CD pipelines and monitoring tools (Grafana, Prometheus, Loki) for optimal performance.

• Proficient in software release management and GitOps, utilizing tools like Terraform, Helm, and Flux.

• Manage databases (Redis, Postgres) and container repositories for seamless integration with our platform.