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Get to Know UsHorizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find, fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by IT Ops/SecOps teams, consulting pentesters, and MSSPs and MSPs.We are a fusion of former U.S. Special Operations cyber operators, startup engineers & operators, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools and false positives, resulting in alert fatigue, blind spots, "checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn-it-alls, committed to a culture of respect, collaboration, ownership, and results.As a remote first company, we require minimum 25Mbps consumer grade broadband connection. What You'll DoThe Director, Precision Defense will be responsible for leading the development of NodeZero Precision Defense from concept to launch, driving the creation of autonomous defense capabilities that close the loop between offensive insights and defensive improvements. This role requires building and managing multiple specialized engineering teams across identity, data, endpoint, and threat detection domains while delivering on our aggressive launch timeline.Precision Defense Engineering Leadership: Lead the development of Precision Defense modules from the ground up, transforming NodeZero's offensive insights into autonomous defensive capabilities across identity security, data protection, endpoint hardening, and threat detection & response.Multi-Domain Product Development: Partner closely with Product and GTM teams to build POCs and develop MVPs across a variety of precision defense technical domains.Rapid Scale Execution: Drive the hiring and management of multiple teams of specialized engineers and technical leads (identity platform engineers, data protection engineers, detection engineers, security automation engineers) while maintaining aggressive delivery timelines.Cross-Functional Team Building: Build and lead specialized engineering pods including fullstack engineers, defense domain experts, attack engineers, and detection/telemetry engineers, fostering deep collaboration between offensive and defensive capabilities.This role is critical to establishing Horizon3.ai as the leader in autonomous security platforms and realizing our vision of continuous, autonomous, and proactive defense capabilities.What You’ll BringProven experience in leading engineering teams, with a strong track record of building and launching new products in a fast-paced startup environment.Highly technical background with expertise in software development, cybersecurity, and B2B SaaS multi-product platforms.Demonstrated ability to take products from concept to market, including the development of POCs, MVPs, and GTM strategies.Ability to manage concurrent initiatives and use effective judgment in prioritization and time management.Creative, self-motivated, highly energetic, detail and results-oriented.Experience collaborating with designers, developers, and product managers.Excellent analytical/problem-solving ability.A positive attitude, and a desire to build accessible products for all users.Ability to understand the product, its logs, and troubleshoot errors.Strong technical documentation and communication.Strong ability to identify procedural gaps, implement engineering best practicies, and streamline and empower the team to build the best new products at a high velocity.Required Tech Stack ExperienceSubject matter expert on platform design and flowKnowledge or awareness of the following: Multiple Operating systems (Kali, Ubuntu, Windows)Understanding of cloud infrastructure and their related services such as AWS, Azure, GCPDatabases such as Neo4j and PostgresqlBash, ruby, Python, and LUA scripting languagesCyber security related certifications/designations (or equivalent experience), such as:Offensive Security Certified Professional (OSCP)Certified Information Systems Security Professional (CISSP)GIAC Penetration Tester (GPEN)Offensive Security Expert Penetration Tester (OSEP)Bachelor’s and/or master's degree in computer science, engineering or related field and significant relevant industry experience.Extensive architectural management experience.Exposure and/or experience with cyber security industry standards and trends.Travel RequiredWe are a fully remote company, and this job may require up to 5% of travel to be successful.Compensation and ValuesAt Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations.In accordance with various State’s transparency regulations, we provide the following salary range information for this position:Base salary range: $242,000 - $285,000 annually. The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills.Additional compensation: This role may also be eligible for an equity package (in the form of stock options). If any other compensation benefits apply, they will be discussed during the interview process.Perks of Horizon3.aiInclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.Remote Work: We are a 100% remote company. Enjoy the flexibility to work in the way that supports you and brings out your best.Competitive Compensation: We offer competitive salary and benefits which includes health, vision & dental care for you and your family, a flexible vacation policy, and generous parental leave.You Belong HereHorizon3 is not just an equal opportunity employer - we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, or any other legally protected status by law.Our commitment to diversity and inclusion means we strive to attract, develop, and retain a workforce that reflects the varied communities we serve. We believe that diverse perspectives drive innovation and strengthen our ability to create cutting-edge cybersecurity solutions. At Horizon3, every team member is valued and supported in an environment that encourages personal and professional growth.We welcome candidates from all backgrounds and experiences, and we encourage all qualified individuals to apply. Come be a part of Horizon3, where your unique contributions are recognized, and your potential is limitless.Other DutiesPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice.Application NoteIn any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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Who we are:Our mission is to make the internet safer and more enjoyable for everyone. We combine state of the art AI technology and human judgment for best in class content detection, harm mitigation and safety monitoring. We are a VC-backed startup, founded by senior Google, Youtube, TikTok and Reddit executives, working with some of the world’s largest online platforms, and fast-moving startups. If you are looking for an opportunity to apply AI technology to real-world business use cases at a significant scale, and an opportunity to shape the future of how we can safely enjoy user generated online content, we’d love to hear from you.What you’ll do:You will be the PM leader who turns strategy into a roadmap, shepherds new SKUs from concept to GA, and scales product practice across service and eventually SaaS product lines.Key ResponsibilitiesExecute and refine the product roadmap to scale ARR growth working closely with sales to review customer opportunities, refine the ICP, and make adjustments based on feedback.Launch co-managed platform console and continue to evolve existing user interface to support customer acquisition.Partner with Engineering to ship reviewer console, QA-routing, and model feedback mechanisms and features. This may include defining and running experiments to validate approaches.Refine pricing, define success metrics, and identify quarterly targets; track gross-margin lift.Lead and mentor a small team including design and technical program managers; build cross-functional execution rhythm.Minimum QualificationsHave 7+ years in product leadership with AI/ML or data-platform products.Track record of excellence or success having shipped SaaS platform/tools and a bonus if they included any complementary service offerings.Demonstrated usage of metrics and data to drive product direction – set north-star metrics, build lightweight dashboards, and use numbers to kill or double-down on bets without waiting for a board meeting.You might be a fit if:Scale-up instincts – you’ve taken at least one zero-to-$20 M product through messy PMF, wearing strategy, discovery, and release-manager hats along the way.Hands-on leadership – comfortable running sprint backlog one hour, pitching roadmap to investors the next; your default is “grab the doc, not delegate the doc.”AI/ML fluency – you can explain key AI concepts to a salesperson, interrogate model metrics with an engineer, and turn both into customer-ready value props. Understand labeling, RLHF / evaluation loops, and compliance needs (GDPR, EU AI Act, SR 11-7).Enterprise empathy – have sold or integrated with mid-market or regulated customers; understand security reviews, DPAs, and why CSV ingest sometimes beats real-time APIs and can design low-friction experiences for customers with lean engineering teams.Bias for shipping – iterate in quarters and sprints, not years; believe v1 in prod beats v3 in slides.Why Join Us?Work with a group of renown industry leaders in AI and Online Safety to shape the future of the industry.Ample opportunity and support for growth, as a technical individual contributor, or manager.Apply AI technology to real-world business use cases at a significant scale, with blue chip customersCompetitive compensation, comprehensive benefits, and hybrid in-office policy. Pay range is specific to the U.S. – Bay Area; compensation may differ by region.The pay range for this role is:$150,000.00 - $250,000.00 USD per year (Palo Alto)

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work. You will: Partner with Account Executives to navigate complex, multi-stakeholder deal cycles with C-level executives Create and demo custom environments based off of customer industry and line of business Run and manage a technical POC cycle Perform customer facing activities including technical discovery calls Lead security based conversations to make customers comfortable with Glean’s security posture Work cross functionally with product and engineering to deliver customer request and be a voice of the customer Develop ROI and business justification reports and presentations About you: 5+ years of sales engineering or solution consulting experience in a SaaS organization Bachelor's degree in CS or a related field Excellent written and verbal communication skills Highly motivated, driven and self-starting individual Ability to work in a fast paced, team environment Clear examples of partnering with AEs to run technical deal cycles with Enterprise customers A consultative approach with solving your customer’s business challenges and having a track record of successfully overcoming technical and security objections Familiarity with any cloud environment (GCP, AWS, Azure) Proficiency in Python or Java Ability to configure, monitor, and maintain API based integrations  Location: This role is Remote, Toronto based  Compensation & Benefits: The standard OTE range for this position is $110,000 - $235,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.  

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WHO WE ARE: MagicSchool is the premier generative AI platform for teachers. We're just over 2 years old, and more than 5.5 million teachers from all over the world have joined our platform. Join a top team at a fast growing company that is working towards real social impact. Make an account and try us out at our website and connect with our passionate community on our Wall of Love.Customer Experience Operations ManagerAs the Customer Experience Operations Manager, you will play a pivotal role in simplifying complex systems and optimizing processes that support our customer-facing teams. You’ll own the execution of technical solutions, documentation standards, and cross-functional alignment to ensure scalable, intuitive, and efficient operations.Responsibilities In this role, you will be responsible for driving to the following outcomes:Translating evolving business needs into actionable, prioritized workflows and scalable systems improvementsServing as the first line of defense for Salesforce and GTM systems support — independently troubleshooting, diagnosing, and resolving issuesBuilding and maintaining Salesforce flows and automations, while documenting processes and maintaining a single source of truthLeading cross-functional projects by defining scope, driving stakeholder alignment, and keeping efforts ruthlessly prioritizedEnsuring CX systems and reporting are intuitive and reliable, with a user-first lens and a bias toward clarity and standardization Experience & Qualifications To be successful in this role, you’ll bring the following experience and qualifications:2–4 years in a customer experience, revenue operations, or GTM operations role, ideally within SaaSProven experience administering and building in Salesforce (flows, automations, reporting)Strong technical troubleshooting skills and the ability to translate business problems into system solutionsProficiency in Google Sheets and basic SQL; comfort learning and using additional tools in the GTM stackExperience managing projects with multiple stakeholders, balancing tradeoffs, and staying focused on impactAbility to document, standardize, and scale processes with a strong sense of time management and team collaborationComfortable pushing back on stakeholders and building consensus to ensure the right problems are solved Bonus Experience (Nice to Have)Familiarity with tools like Gong, Chili Piper, Skilljar, Intercom or other CX-enablement platformsExperience supporting Product-Led Growth (PLG) teams or strategiesExperience in high-growth, startup-like environments where agility and prioritization are criticalApplication Notice: Priority Deadline and Review Start DatePlease note that applications for this position will be accepted until 7/20/25 - applications received after this date will be reviewed on an intermittent basis. While we encourage early submissions, all applications received by the priority deadline will receive equal consideration. Thank you for your interest, and we look forward to reviewing your application.Why Join Us?Work on cutting-edge AI technology that directly impacts educators and students.Join a mission-driven team passionate about making education more efficient and equitable.Flexibility of working from home, while fostering a unique culture built on relationships, trust, communication, and collaboration with our team - no matter where they live.Unlimited time off to empower our employees to manage their work-life balance. We work hard for our teachers and users, and encourage our employees to rest and take the time they need.Choice of employer-paid health insurance plans so that you can take care of yourself and your family. Dental and vision are also offered at very low premiums.Every employee is offered generous stock options, vested over 4 years.Plus a 401k match & monthly wellness stipendOur Values:Educators are Magic:  Educators are the most important ingredient in the educational process - they are the magic, not the AI. Trust them, empower them, and put them at the center of leading change in service of students and families.Joy and Magic: Bring joy and magic into every learning experience - push the boundaries of what’s possible with AI.Community:  Foster community that supports one another during a time of rapid technological change. Listen to them and serve their needs.Innovation:  The education system is outdated and in need of innovation and change - AI is an opportunity to bring equity, access, and serve the individual needs of students better than we ever have before.Responsibility: Put responsibility and safety at the forefront of the technological change that AI is bringing to education.Diversity: Diversity of thought, perspectives, and backgrounds helps us serve the wide audience of educators and students around the world.Excellence:  Educators and students deserve the best - and we strive for the highest quality in everything we do.

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What is Findem: Findem is HR 2.0. We’re a fast-growth startup with an ambitious vision and the technology to back it up. Our People Intelligence platform uses true AI and machine learning to provide critical solutions for talent acquisition and people analytics functions. With the deep insights that our platform provides, companies can build more engaged and diverse teams, and close their talent gaps faster. We have an amazing opportunity to establish ourselves as leaders in this space, and we need strong advocates to help us achieve that goal. We’re backed by top-tier investors including Wing Venture Capital – the same firm that backed Snowflake, Cohesity, and Gong. Findem powers businesses across scaling, pre-IPO, and publicly traded companies who trust us to solve their biggest HR and Talent challenges. We have an incredibly skilled and collaborative team that values curiosity, diversity, openness and building great experiences every day for our customers. By joining Findem, you will have the unique opportunity to help define what the future of HR looks like for every business. Why We Need You: We are looking for a seasoned Senior Staff Software Engineer to architect, lead, and drive strategic initiatives for robust, scalable backend infrastructure and microservices. You'll provide technical leadership and mentorship, while optimizing system performance, reliability, and scalability using tools like Docker, TypeScript, MongoDB, and generative AI technologies.

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: The Legal team at Glean prides themselves on being true business enablers. We work closely with teams across the organization to deliver practical, innovative, and business-focused legal support that drives growth and success. As a part of the Transactions team, and reporting to the Head of Legal Transactions, you’ll support a wide variety of functions, from sales and finance, to product and strategy, embodying our “get to yes” approach.  We’re seeking a Senior Commercial Counsel who thrives in a dynamic, fast-paced environment, excels at building strong cross-functional relationships, and isn’t afraid to roll up their sleeves. In this role, you’ll be instrumental in helping Glean move quickly and thoughtfully, ensuring we achieve our ambitious goals while laying the foundation for scalable growth. You Will:  SaaS Contracting: Draft, review, and negotiate a variety of commercial agreements, including SaaS, channel, vendor, and data processing agreements. Strategic Legal Advice: Provide timely, practical, and business-oriented guidance on legal and commercial issues to teams across the company, balancing business objectives with legal risk. Cross-Functional Collaboration: Build and nurture strong relationships with teams across Glean, including sales, finance, product, marketing, and security, becoming a trusted advisor and valued partner. Project Management: Handle multiple priorities, balancing short-term transactional needs with long-term strategic goals, adapting to ambiguity and delivering results with limited oversight. Proactive Problem Solving: Take on a variety of legal projects and responsibilities, stepping in where needed to support the evolving needs of a dynamic SaaS/AI company. About You:  Legal Expertise: J.D. degree with membership in a state bar in good standing, and at least 10+ years of relevant experience, including time spent as in-house counsel. Commercial Aptitude: Proven ability to draft and negotiate a wide range of commercial agreements in the SaaS/technology industry, including channel / resale models.  FED / SLED government contracting a plus. Risk-Balanced Approach: Skilled at providing clear, actionable advice that aligns with both business objectives and legal best practices. Business Partnership Mindset: A track record of fostering trust-based relationships with cross-functional stakeholders and delivering exceptional client service. Adaptability and Drive: Demonstrated ability to manage multiple projects in a fast-paced, high-growth environment, with a proactive and results-oriented approach to problem-solving. AI Experience: Demonstrated experience using AI in legal applications, including contract drafting and analysis and AI use for legal research. Commitment to Glean’s Values:  Make it Customer-Driven: We put our customers first, ensuring that their needs and success guide everything we do. Make it Happen: We take ownership, move with purpose, and deliver results. Make it Better: We embrace curiosity and continuous improvement, always seeking ways to elevate our work. Make it Together: We believe in the power of collaboration and build strong partnerships to achieve shared goals. Location:  New York This role is hybrid (3 days a week in office) Compensation & Benefits: The standard base salary range for this position is $200,000.000 -$240,000.000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.   About our Enterprise Team:  We’re looking for an Engineering Manager to help shape the future of AI-powered applications. In this role, you’ll bridge the gap between AI research and production, leading a team that is turning innovative prototypes into scalable, high-performance enterprise solutions. Your team will work on interactive AI applications, enterprise SaaS products, and platform capabilities that redefine how businesses leverage AI.   Responsibilities: Manage the engineering team and drive technical delivery. Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation. Comfortable working cross functionally, whether that be internal or external customers Work across the entire product lifecycle from conceptualization through production Build features end-to-end, system design, debugging and testing Deliver experiments at a high velocity and level of quality to engage our customers Influence the culture, values, and processes of a growing engineering team Inspire and mentor engineers. Collaborating with cross-functional teams to define, design, and ship new product features and experiences Requirements: At least 5 years of relevant experience and at least 2 years of experience managing back engineers is preferred Proven success in leading, managing, and developing high-performing Engineering teams Expertise in identifying product engagement patterns and trends for large scale consumer products Track record of shipping high-quality products and features at scale Desire to work in a very fast-paced environment Ability to turn business and product ideas into engineering solutions Excellent problem-solving skills, and be able to work independently or as part of a team. Excited to join a dynamic, hybrid team in either San Francisco or New York City. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$212,000—$254,400 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. We're looking for a Senior HPC Systems Architect with extensive experience designing, developing, and testing large-scale high-performance computing (HPC) infrastructures. This strategic role focuses on crafting cutting-edge liquid-cooled HPC solutions.What You'll Do:Design and architect advanced HPC systems optimized for large-scale computational workloads and AI applications.Collaborate with internal teams and stakeholders to define system requirements and performance goals.Develop comprehensive testing frameworks to rigorously assess system performance, scalability, and reliability.Evaluate emerging technologies and architectural approaches to continuously enhance infrastructure capabilities.Create detailed architectural plans, documentation, and blueprints to guide implementation teams.Provide technical leadership and mentoring to engineering teams, fostering best practices in HPC architecture.About You:8+ years of experience designing and architecting large-scale HPC and distributed computing systems.Expert-level knowledge of HPC hardware including GPU clusters, compute nodes, high-speed networking (InfiniBand, Ethernet), and distributed storage.Hands-on experience with direct-to-chip liquid cooling systems.Proven expertise in creating robust performance benchmarks, capacity planning, and system validation.Exceptional skills in system architecture, design documentation, and technical specifications.Ability to work collaboratively across teams, ensuring alignment of technical solutions with business objectives.Self-motivated, strategic thinker with strong analytical and problem-solving capabilities.Nice to Have:Prior experience with AI infrastructure design.Familiarity with cloud computing environments and hybrid cloud HPC architectures.Knowledge of automation and orchestration tools (Ansible, Terraform, Kubernetes).Salary Range InformationBased on market data and other factors, the annual salary range for this position is $255,000-$340,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, ~350 employees (2024) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.  At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. Company Overview Based in the beautiful mountains of Park City, Utah, AtlasRTX is revolutionizing how companies engage their customers and stakeholders using AI, mobile messaging, and machine translation to create modern customer experiences. AtlasRTX helps identify key opportunities, leveraging our technology, to reach customers more efficiently and effectively. Why AtlasRTX? AtlasRTX is passionate about creating a diverse environment. We encourage applications from candidates of every race, color, religion, gender, identity, sexual orientation, national origin, disability, age, or veteran status. We are proud of our co-founder team culture that prioritizes inclusion, kindness, and achievement. We give deserving people a chance to make a difference, and invest in growing them personally & professionally. Our culture is our advantage. #CoFounderCulture. Job Summary Join our founding team and help us revolutionize how companies engage their customers and stakeholders using AI, mobile messaging, and machine translation to create modern customer experiences. AtlasRTX is looking for a super talented Software Engineer with at least 3 years of experience. You will be working with a world-class, 100% software-as-a-service conversational AI and messaging platform. We are looking for pros who are excited about both defining and enhancing our client processes and experiences. Software Engineers will work closely with the implementation and client success teams to support the implementation of software systems, develop technical solutions, address our client’s needs, and provide proactive suggestions and answers to improve client’s use and satisfaction. Responsibilities Strategize and participate in conversational design Implement, train, and test conversational experience using best practices Analyze, test, and improve the conversational experiences on an ongoing basis Qualifications Bachelors degree in computer science or related field 3+ years of software development experience Programming skills in .NET Relational database (SQL) background  Skilled in web, API, Microsoft Azure or related Experience in JavaScript, Data Science, NLP and AI Bonus Skills SignalR Service-bus queues Telephony and communications CI/CD pipelines Infrastructure-as-a-service DevOps    About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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The mission of Speechify is to make sure that reading is never a barrier to learning. Over 30 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview Speechify's Studio is one of our latest products addressing creators' needs to create human-sounding voiceovers with AI text-to-speech, dub videos, clone their voice and more.  This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Build and maintain Speechify's Creator Studio found at speechify.com/studio Integrate AI models to provide state of the art voiceovers, dubbing, voice cloning and more An Ideal Candidate Should Have Experience with AWS/GCS and be able to build service architectures leveraging these services Experience building scalable architectures using micro services Experience writing testable code and pushing the bar higher on testing infrastructure Proficiency with React and modern React stack, or NodeJS, or both Understanding low-level JS and be able to profile and optimize SPA FE/backend performance Preferred: video and audio processing experience What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Salary The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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About Us:At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is not half as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data — and for 95% of teams, this essential step is both the most costly, and the most time-consuming, in getting their product to market. As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one the fastest growing companies in our space, and consistently rated as the best tool in the market by our customers. We have big plans ahead and are looking for a rockstar Senior PMM to join our Marketing team! About You:-Ideal candidates will have a proven record in product marketing and experience working on technical products. -You would have a strong understanding of Data & AI platform offerings, have worked on creating messaging and positioning of technical products targeted at the enterprise market, and can build strong working relationships with stakeholders to deliver joint messaging and GTM plans. -You also have experience creating compelling product and product-related thought leadership content to support customers on their learning journey and for Growth/Demand marketing to use for audience, use case, or vertical-specific campaigns. -5+ years of product marketing experience at an enterprise software company, preferably including PMM experience in early-stage AI startups-Excellent writing skills for succinct messaging targeting AI/ML engineers and AI executivesAbility to thrive in a fast-paced, dynamic, team-oriented environment   -Deep understanding of Data and AI spaceExperience building compelling technical and business content-Works collaboratively with sales, growth marketing, and product teams-Comfortable owning and running direct customer engagements-Strong public speaker and technical aptitude to become the end-to-ent expert on the -Encord platform to be able to effectively demo at events and to prospectsPreferred technical academic background (BS in computer science or related discipline) About YouAs our second product marketer, you will lead the marketing of the Encord Platform. This will include owning how we message Encord across targeted use cases, verticals, and personas. This is a critical role for the business, and you will become the subject matter expert for the end-to-end platform. The impact you will have-Own the messaging of Encord, as well as the messaging for platform-wide capabilities-Amplify the platform-level messaging through the Encord website and channels-Build and deliver sales enablement with high CSAT scores with field teams-Be the expert in any platform-specific messaging for any campaign or event Encord is running, and enable GTM teams with highly performant content to drive strong engagement and pipeline-Deliver a drumbeat of compelling customer stories, highlighting the Encord Platform capabilities, technical details, and realized value-Hone messaging by developing value proposition and messaging frameworks and driving articulation of product portfolio positioning aligned to Encord's targeted audiences and ICP-Help build a product our customers love-Collaborate closely with product & engineering to identify needs and sharpen product offerings based on the competitive landscape and feedback from customers What We Offer:- Competitive salary, commission and equity in a hyper growth startup.- Real opportunities to grow. We’re growing insanely fast and you’ll have all the opportunities for growth that you can handle.- Strong in person culture. We're 3-5 days a week in our Fitzrovia office.- Flexible PTO to recharge. - Annual learning and development budget. - 25 paid vacation days + bank holidays. - Lots of opportunities for travel (all around the US, to London & Europe).- Bi-annual off-sites and monthly socials. - Health, dental and vision insurance. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture and many more.  Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.  Job DescriptionAbout NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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Lakera is hiring its first dedicated Application Security Engineer to partner with Engineering and embed security into every stage of our SDLC.You will work closely with backend and infrastructure engineers, turn threat models into guardrails, harden our Python services, and make it easy for teams to ship secure code. Your main focus is proactive product security: secure-SDLC integration, automated testing pipelines, and hands-on code guidance. Because we are a lean team you will also help with incident response and audit preparation when required.If you’re excited by the idea of shaping security strategy at a company working on the frontier of AI security, this is your chance to make outsized impact from day one.About LakeraLakera is on a mission to ensure AI does what we want it to do. We are heading towards a future where AI agents run our businesses and personal lives. Here at Lakera, we're not just dreaming about the future; we're building the security foundation for it. We empower security teams and builders so that their businesses can adopt AI technologies and unleash the next phase of intelligent computing.We work with Fortune 500 companies, startups, and foundation model providers to protect them and their users from adversarial misalignment. We are also the company behind Gandalf, the world’s most popular AI security game.Lakera has offices in San Francisco and Zurich.We move fast and work with intensity. We act as one team but expect everyone to take substantial ownership and accountability. We prioritize transparency at every level and are committed to always raising the bar in everything we do. We promote diversity of thought as we believe that creates the best outcomes.What You’ll DoIntegrate Security into the SDLCIntegrate and maintain SAST, dependency scanning, and IaC checks in the CI pipeline.Perform threat models and drive secure-by-design patterns with engineers.Run secure code reviews and pair with developers to remediate findings.Champion SecurityDeliver just-in-time training, secure-coding guidelines, and short demos.Build self-service security tooling and templates that reduce friction.Cloud & Infrastructure HardeningReview AWS/Kubernetes configurations, IAM policies, and Cloudflare rules.Support infrastructure teams with infrastructure-as-code guardrails.Continuous ImprovementTrack security metrics, drive post-incident reviews, and propose roadmap items.Stay up to date with emerging threats, vulnerabilities, and industry best practices across SaaS, open-source, and cloud environments.What You’ll BringAt least three years in product or application security or a closely related DevSecOps role.Hands-on experience securing Python, Node, Go, or similar web applications and APIs.Ability to code. Comfortable writing or improving small tools and infrastructure-as-code in Python and Terraform.Ability to read and review code, spot vulnerabilities, and communicate fixes clearly.Ability to implement SAST, DAST, and CI/CD security controls (GitHub Actions, GitLab CI, or similar).Working knowledge of AWS security fundamentals.Strong collaboration skills and the ability to influence without authority in a fast-moving startup.Excellent communication skills, both verbal and written, enabling clear and effective interactions with internal stakeholders, auditors, and customers.Nice to haves:Familiarity with Auth0, OAuth 2 / OIDC flows, and multi-tenant SaaS authentication patterns.Exposure to compliance frameworks such as SOC 2 or ISO 27001 or evidence-collection tooling.Relevant certifications (for example OSCP) or a degree in Computer Science or a related field.👉 Let's stay connected! Follow us on LinkedIn, Twitter & Instagram to learn more about what is happening at Lakera.ℹ️ Join us on Momentum, the slack community for AI Safety and Security everything.❗To remove your information from our recruitment database, please email privacy@lakera.ai.

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About the teamOpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.About the RoleOur GTM team is uniquely positioned to help customers realize the transformative potential of advanced AI models for their businesses and end users. As part of the GTM Strategy & Operations team, you’ll play a critical role in guiding the GTM strategy and driving the operational efficiency to accomplish this mission.This role serves as a trusted advisor to GTM leadership—providing data-driven insights, managing core operating cadences, and leading high-impact projects that influence how we engage with customers and scale our business. You’ll collaborate cross-functionally with Finance, Enablement, Data and Growth Strategy teams to align efforts, drive efficiencies, and accelerate growth.This role is based in Singapore. In this role, you'll:Drive GTM operating cadences (e.g. forecasting, pipeline review, top accounts review, monthly / quarterly business reviews) and conduct strategic analyses to determine trends and identify opportunities for process and strategy optimizationCollaborate with GTM leadership and cross-functional stakeholders to develop go-to market strategy and resource plansDesign and manage territory allocation to optimize sales team performance; Collaborate closely with the GTM leadership to ensure alignment with overall business objectives and provide data-driven recommendations for territory adjustments.Lead strategic projects to improve efficiency and effectiveness across the revenue organization.Partner closely with technical teams to implement processes systematically.Work closely with the data team to ensure data accuracy and availability for revenue-related activities.You might thrive in this role if you have:7+ years experience in revenue operations or strategy at a high-growth, technology companyProficiency in Salesforce.com and data analysis tools (e.g., SQL, Excel)Strong analytical skills with a focus on attention to detailExperience building territories, comp plans, and setting quotas for GTM teamsExceptional project management skills, with experience leading complex, cross-functional initiativesStrong communication skills and executive presenceAn understanding of the AI landscape, our applications, and the problems they solve for our customers.The ability to thrive in ambiguity and work autonomouslyExceptional organizational skillsThe ability to operate with high horsepower, be adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthless prioritizationAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the roleYou will be building the next cloud platform for running AI software — a cloud where AI apps are building other software apps.Your job will be:Building with VM hypervisors like Firecracker, gVisor, or Linux systemResource monitoring of sandboxesDeveloping networking solutions for secure, isolated environmentsOptimization of E2B sandbox performance and shaving off every millisecondBuilding new kind of programming language runtimes for LLMsWe’re looking for an infrastructure engineer with a diabolical obsession with making things run fast and efficiently and running A LOT of them at the same time.If this sounds exciting to you, we want to hear from you!What we’re looking for5+ years building infrastructure, especially distributed systemsExperience building infrastructure on scaleExcited to work in person from Prague on a devtool productDetail-oriented with a great tasteExcited to work closely with our usersNot being afraid to take ownership of the part of our productIf you join E2B, you’ll get a lot of freedom. We expect you to be proactive and take ownership. You’ll be taking projects from 0 to 1 with the support of the rest of the team.What it’s like to work at E2BWork at a fast-growing startup at an early team (we grow 20%-100% MoM)We ship fast, but don’t release junkWe like hard work and problems. Challenges mean potential value.We have a long runway and can offer a competitive salary for the startup at our stageWork closely with other AI companies on the edge of what’s possible todayDogfooding our own product on projects like FragmentsNo meetings, highly writing, and transparent cultureYou’re the decision maker in day-to-day, important product and roadmap decisions are on Vasek (CEO) and Tomas (CTO)Spend 10-20% of the roadmap on highly experimental projectsHiring processWe aim to have the whole process done in 7-10 days. We understand that it’s important to move fast and try to follow up in 24 hours after each stage.30-minute call with Vasek (CEO). We’ll go over your past work experience and what you’re looking for to make sure this would be a good fit for both of us.First technical interview with Tomas (CTO). About 1 hour long call. You’ll get asked thorough technical questions. Often these are questions about problems that we ourselves experienced while building E2B.Second technical interview. Another 1-2 hours long call. Expect live coding on this call. We’ll ask you to solve specific problems (don’t worry, it’s not a leet code) that are related to your role.One day of in-person hacking at our office (paid). We invite you to our office to work on the product with us. This is a great opportunity for all of us to try how it’s working together and for you to meet the team.Last call with Vasek. Last 30-minute call with the CEO to talk more about the role and answer any of your questions.Decision and potential offer.

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About the roleYour job will be to inspire developers what they can build E2B. Part of that job is creating examples based on what we often see that our users are doing and another part of that is leading by example by building experimental projects using E2B.You’ll be building both smaller examples that you can find in our Cookbook but also bigger projects like Fragments or AI Analyst.This role requires a high amount of creativity and ability to finish the projects by taking them from 0 to 1.What we’re looking for3+ years of experience being a software engineerBeing comfortable with fast-pace field and environmentBeing interested in the latest news in the AI fieldExcited to work in person from Prague on a devtool productDetail oriented with a great tasteExcited to work closely with our usersNot being afraid to take ownership of the part of our productIf you join E2B, you’ll get a lot of freedom. We expect you to be proactive and take ownership. You’ll be taking projects from 0 to 1 with the support of the rest of the team.What it’s like to work at E2BWork at a fast growing startup at an early team (we grow 20%-100% MoM)We ship fast but don’t release junkWe like hard work and problems. Challenges mean potential value.We have a long runway and can offer a competitive salary for the startup at our stageWork closely with other AI companies on the edge of what’s possible todayDogfooding our own product on projects like FragmentsNo meetings, highly writing and transparent cultureYou’re the decision maker in day-to-day, important product and roadmap decisions are on Vasek (CEO) and Tomas (CTO)Spend 10-20% of the roadmap on highly experimental projectsHiring processWe aim to have the whole process done in 7-10 days. We understand that it’s important to move fast and try to follow up in 24 hours after each stage.30-minute call with Vasek (CEO). We’ll go over your past work experience and what you’re looking for to make sure this would be a good fit for both of us.First technical interview with Tomas (CTO). About 1 hour long call. You’ll get asked thorough technical questions. Often these are questions about problems that we ourselves experienced while building E2B.Second technical interview. Another 1-2 hours long call. Expect live coding on this call. We’ll ask you to solve specific problems (don’t worry, it’s not a leet code) that are related to your role.One day of in-person hacking at our office (paid). We invite you to our office to work on the product with us. This is a great opportunity for all of us to try how it’s working together and for you to meet the team.Last call with Vasek. Last 30-minute call with the CEO to talk more about the role and answer any of your questions.Decision and potential offer.

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About the roleYour job will be to inspire developers what they can build E2B. Part of that job is creating examples based on what we often see that our users are doing and another part of that is leading by example by building experimental projects using E2B.You’ll be building both smaller examples that you can find in our Cookbook but also bigger projects like Fragments or AI Analyst.This role requires a high amount of creativity and ability to finish the projects by taking them from 0 to 1.Ready to be the voice of E2B and inspire thousands of developers to build with our product? This San Francisco-based role requires engineering skills and excellent communication skills to help developers unlock the full potential of E2B. As a Developer Relations Engineer, you'll be deep in the AI ecosystem, educating devs about E2B use cases, sharing our vision through demos and content, and helping shape the company brand. You'll get to build and hack on the latest hot things in AI, translate complex technical concepts into accessible examples, and gather feedback from the community to influence our product roadmap.Examples of responsibilitiesExamples and guides showing E2B features and integration with various LLMs, frameworks, and AI toolsOwning the E2B CookbookResearching the latest trends in the AI space and coming with project ideasRecording a demo video about a new featureCollaboration with AI companies in the ecosystem on examples, content, eventsDemo examples with E2B at meetups or conferencesTalking to developers online and offline about E2B and make them excited about building with the productBeing active on X and follow the latest advancements in the AI dev tools, LLMs, and agentsWhat we’re looking forEngineering experienceExperience in Python an JavaScript/TypeScripptExperience with AI and LLM-powered productsExcellent communication skillsExcited to work in person from San Francisco on a devtool productDetail orientedExcited to work closely with our usersNot being afraid to take ownership of the part of our productIf you join E2B, you’ll get a lot of freedom. We expect you to be proactive and take ownership. You’ll be taking projects from 0 to 1 with the support of the rest of the teamWhat it’s like to work at E2BWork at a fast growing startup at an early team (we grow 20%-100% MoM)We ship fast but don’t release junkWe like hard work and problems. Challenges mean potential value.We have a long runway and can offer a competitive salary for the startup at our stageWork closely with other AI companies on the edge of what’s possible todayDogfooding our own product on projects like FragmentsNo meetings, highly writing and transparent cultureYou’re the decision maker in day-to-day, important product and roadmap decisions are on Vasek (CEO) and Tomas (CTO)Spend 10-20% of the roadmap on highly experimental projectsHiring processWe aim to have the whole process done in 7-10 days. We understand that it’s important to move fast and try to follow up in 24 hours after each stage.30-minute call with Terka (Marketing, Growth, DevRel). We’ll learn about you, your work experience, and what you’re looking for to make sure this would be a good fit for both of us.30-minute call with Vasek (CEO).Technical assignment. The (paid) assignment should take up to 3 business days and it will test your technical and communication skills.Decision and potential offer.

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. We're looking for a Storage Systems Architect experienced in designing, planning, testing, and implementing large-scale distributed storage systems. You will play a critical role in defining our storage infrastructure strategy, driving technical solutions that ensure scalability, reliability, and efficiency for our growing business and operational needs. You will collaborate closely with engineering teams, infrastructure operations, and product stakeholders to ensure our storage solutions align with company objectives and technical requirements. What You'll Do:Architect, design, and implement distributed storage solutions optimized for AI workloads.Drive the development of storage system standards and best practices to ensure consistency and reliability across infrastructure.Evaluate and benchmark storage technologies to meet demanding AI performance requirements.Collaborate with engineering teams to integrate storage solutions with cloud product offerings.Define and maintain storage capacity plans, performance metrics, and scalability roadmaps.Drive operational excellence, ensuring high availability, disaster recovery, and data integrity.Provide mentorship and technical leadership to storage and infrastructure engineers.About You:Proven experience (7+ years) designing and implementing distributed storage systems.Deep expertise with distributed storage technologies (e.g., Ceph, Lustre, or similar).In-depth knowledge of underlying hardware systems supporting storage deployments.Strong understanding of storage architectures, data replication, redundancy strategies, and performance optimization techniques.Experience working with high-performance and high-availability storage solutions.Familiarity with object, block, and file storage protocols.Ability to identify, analyze, and resolve complex technical issues.Excellent communication skills, capable of clearly articulating technical concepts to diverse stakeholders.Nice to Have:Expertise in designing, implementing, and managing both enterprise-grade and open-source storage systems.Experience with cloud storage solutions (AWS S3, Azure Blob Storage, Google Cloud Storage).Familiarity with container storage solutions and orchestration.Experience managing storage in large-scale cloud environments.Exposure to data security, compliance, and regulatory requirements (e.g., GDPR, HIPAA).Salary Range InformationBased on market data and other factors, the annual salary range for this position is $349,000-$465,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~350 employees (2024) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About the roleYou will be building the next cloud platform for running AI software — a cloud where AI apps are building other software apps.Your job will be:Building the E2B backendSolving general infrastructure problemsWorking with Kubernetes or NomadCollaborating with our Systems Engineers and Distributed Systems EngineersWe’re looking for a skilled developer with a diabolical obsession with making things run fast and efficiently and running A LOT of them at the same time.If this sounds exciting to you, we want to hear from you!What we’re looking for5+ years building infrastructure, especially distributed systemsExperience building infrastructure on scaleExcited to work in person from San Francisco on a devtool productDetail oriented with a great tasteExcited to work closely with our usersNot being afraid to take ownership of the part of our productIf you join E2B, you’ll get a lot of freedom. We expect you to be proactive and take ownership. You’ll be taking projects from 0 to 1 with the support of the rest of the team.What it’s like to work at E2BWork at a fast growing startup at an early team (we grow 20%-100% MoM)We ship fast but don’t release junkWe like hard work and problems. Challenges mean potential value.We have a long runway and can offer a competitive salary for the startup at our stageWork closely with other AI companies on the edge of what’s possible todayDogfooding our own product on projects like FragmentsNo meetings, highly writing and transparent cultureYou’re the decision maker in day-to-day, important product and roadmap decisions are on Vasek (CEO) and Tomas (CTO)Spend 10-20% of the roadmap on highly experimental projectsHiring processWe aim to have the whole process done in 7-10 days. We understand that it’s important to move fast and try to follow up in 24 hours after each stage.30-minute call with Vasek (CEO). We’ll go over your past work experience and what you’re looking for to make sure this would be a good fit for both of us.First technical interview with Tomas (CTO). About 1 hour long call. You’ll get asked thorough technical questions. Often these are questions about problems that we ourselves experienced while building E2B.Second technical interview. Another 1-2 hours long call. Expect live coding on this call. We’ll ask you to solve specific problems (don’t worry, it’s not a leet code) that are related to your role.One day of in-person hacking at our office (paid). We invite you to our office to work on the product with us. This is a great opportunity for all of us to try how it’s working together and for you to meet the team.Last call with Vasek. Last 30-minute call with the CEO to talk more about the role and answer any of your questions.Decision and potential offer.

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About the roleYou will be building the next cloud platform for running AI software — a cloud where AI apps are building other software apps.Your job will be:Building with VM hypervisors like Firecracker, gVisor, or Linux systemResource monitoring of sandboxesDeveloping networking solutions for secure, isolated environmentsOptimization of E2B sandbox performance and shaving off every millisecondBuilding new kind of programming language runtimes for LLMsWe’re looking for an infrastructure engineer with a diabolical obsession with making things run fast and efficiently and running A LOT of them at the same time.If this sounds exciting to you, we want to hear from you!What we’re looking for5+ years building infrastructure, especially distributed systemsExperience building infrastructure on scaleExcited to work in person from San Francisco on a devtool productDetail-oriented with a great tasteExcited to work closely with our usersNot being afraid to take ownership of the part of our productIf you join E2B, you’ll get a lot of freedom. We expect you to be proactive and take ownership. You’ll be taking projects from 0 to 1 with the support of the rest of the team.What it’s like to work at E2BWork at a fast-growing startup at an early team (we grow 20%-100% MoM)We ship fast, but don’t release junkWe like hard work and problems. Challenges mean potential value.We have a long runway and can offer a competitive salary for the startup at our stageWork closely with other AI companies on the edge of what’s possible todayDogfooding our own product on projects like FragmentsNo meetings, highly writing, and transparent cultureYou’re the decision maker in day-to-day, important product and roadmap decisions are on Vasek (CEO) and Tomas (CTO)Spend 10-20% of the roadmap on highly experimental projectsHiring processWe aim to have the whole process done in 7-10 days. We understand that it’s important to move fast and try to follow up in 24 hours after each stage.30-minute call with Vasek (CEO). We’ll go over your past work experience and what you’re looking for to make sure this would be a good fit for both of us.First technical interview with Tomas (CTO). About 1 hour long call. You’ll get asked thorough technical questions. Often these are questions about problems that we ourselves experienced while building E2B.Second technical interview. Another 1-2 hours long call. Expect live coding on this call. We’ll ask you to solve specific problems (don’t worry, it’s not a leet code) that are related to your role.One day of in-person hacking at our office (paid). We invite you to our office to work on the product with us. This is a great opportunity for all of us to try how it’s working together and for you to meet the team.Last call with Vasek. Last 30-minute call with the CEO to talk more about the role and answer any of your questions.Decision and potential offer.