AI Product & Operation Jobs

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About LangChain: At LangChain, our mission is to make intelligent agents ubiquitous. We help developers build mission-critical AI applications across the entire agent development lifecycle. Our open source frameworks — LangChain and LangGraph — see over 70+ million downloads per month. Developers rely on LangChain for composable integrations and LangGraph for controllable agent orchestration. Our commercial agent platform, consisting of LangSmith and LangGraph Platform, enables teams to build, test, run, and manage agents at scale across their organization.Founded in 2023, LangChain powers top engineering teams at companies like Replit, Lovable, Clay, Klarna, LinkedIn, and more.About the role:Our Applied AI team is the core team actually building AI products. In this role you’ll implement various AI powered workflows, agents and full-stack applications. The workflows and applications you build will be for both internal usage and customer facing products. Much of the work you do will be open-sourced helping advance the OSS AI ecosystem. This role is onsite in San Francisco (preferred), New York, or Boston.You will:Implement AI workflows/applications end to end.Stay up to date with progress in agent development, and implementation techniques.Design and iterate on novel AI architectures to solve real world tasks.Build evaluation pipelines to test the agents you implement.How to be successful in this role:3+ years of software engineering experience including 1+ year building AI applications professionally.Experience implementing evaluations for agents/workflows.A subject matter expert in the components that make up an AI application, and how/when to best utilize each: prompting/context engineering, retrieval methods, agent architecture, LLM inference APIs & what LLMs preform best in specific tasks (e.g. Gemini for multimodal).Strong coding skills in Python or TypeScript, ideally both.Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders.Startup DNA. The ability to thrive in a fast-moving environment. Views unstructured environments as an opportunity to figure out the most impactful work and help drive he future success of the company.A naturally curious person, always interested in learning new skills and growing as an engineer.Nice to Have:Expertise in LangChain/LangGraph.Experience in Applied AI research roles.Experience building full-stack applications end-to-end, including both design/frontend & backend implementation.Processionally proficient in both Python and TypeScript.Experience maintaining open-source projects.

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Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. This will require close collaboration with our robotics, research, and engineering team. Your work will directly impact the development of intelligent, adaptable robots capable of learning and performing complex tasks autonomously. Responsibilities Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications. Design and conduct experiments to train RL models and conduct real-world tests. Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training. Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment. Analyze and interpret experimental results, iterating on model design to achieve desired performance. Stay up-to-date with the latest research and advancements in reinforcement learning. Preferred Qualifications BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience. Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc. Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.). Strong background in algorithms, data structures, and software engineering principles. Experience with physics simulation engines and tools for training RL. Deep understanding of state-of-the-art machine learning techniques and models. Extensive industry experience with reinforcement learning and robotic systems.  Base Salary Range$100,000—$300,000 USD

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Who We Are PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact.  Where You Fit   As the Senior Regulatory and Quality Specialist, you will be a key member of PathAI’s Regulatory and Quality (RAQA) Team, ensuring compliance to the company’s Quality Management System and to pre- and post-market regulations that pertain to PathAI’s RUO, IVD, and clinical products. You will be responsible for representing RAQA in company-specific projects for diagnostic and clinical development services and will be involved in process improvement efforts, participate in audits as needed, and may be responsible for maintaining/managing key QMS processes (e.g., document control). You will provide risk and regulatory assessments during design control and change control activities and participate in the development and submission of filings to regulatory agencies in the US, EMA, and other geographies. The ideal candidate brings knowledge in regulatory affairs and quality assurance, preferably in the context of AI-driven diagnostic software, and thrives in a fast-paced, high-growth environment. What You’ll Do Regulatory strategy, submissions, reviews Build and execute global regulatory plans; prepare and coordinate pre-subs, 510(k)s, de novos, PMAs, and ex-US filings; participate in agency interactions.   Shape registration strategy and author the technical file/design dossier content in partnership with Product, ML, Clinical, and Engineering. May review and approve product promotional material and customer notifications to ensure alignment with regulatory status. Quality system   Maintain and improve QMS processes aligned to FDA QSR/21 CFR 820, ISO 13485, ISO 14971, IEC 62304, and related standards; monitor new/updated regulations and flow them into the QMS. Participate as subject matter expert in customer audits, certification body audits and regulatory inspections as needed. Design controls &SaMD lifecycle Guide teams through design inputs/outputs, V&V, risk management, usability, design transfer, and clinical/labeling impacts; review design documentation for compliance throughout the product life cycle.   Cross-functional enablement Serve as the day-to-day RAQA partner to Product/ML/Engineering/Clinical/LabOps, resolving issues that affect project timelines. What You Bring   Experience: 5+ years of progressive experience in regulatory affairs and quality assurance in IVD medical devices, preferably SaMD with AI/ML Demonstrated participation in regulatory submissions for FDA Class II/III devices and some ex-US regulatory experience (e.g., EMA IVDR Class A-C); experience with CDx submissions is a plus Working knowledge of global regulatory standards, including FDA QSR, ISO 13485, IVDR, and ISO 14971. Experience authoring and reviewing QMS documentation (e.g., procedures, protocols, reports) Educational Background: Bachelor’s degree in engineering, physical, or life sciences (advanced degree preferred) Skills & Competencies: Strong organizational skills with the ability to manage multiple projects in a dynamic environment. Ability to manage details effectively while contributing to broader regulatory strategies. Strong interpersonal and communication skills, with the ability to collaborate effectively with cross-functional teams. Demonstrated success working within and maintaining FDA/ISO compliant Quality Systems We Want To Hear From You  At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.   PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.      #LI-Remote

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At Replicant, we believe AI should work for people, starting with customer service. That’s why we built a platform that helps contact centers resolve more requests, proactively identify issues, and improve agent performance with AI-powered conversation intelligence and AI agents that act like your best reps.Our AI agents handle millions of calls every month for Fortune 500 companies and high-growth innovators. From processing payments to booking appointments and authenticating users, they help customers get what they need instantly, 24/7. Meanwhile, our real-time conversation insights help contact center leaders coach better and improve every interaction.We’re leading the shift from legacy systems to AI-first service, powered by large language models (LLMs)and designed for enterprise scale, security, and empathy. If you’re excited by the potential of LLMs, voice AI, and building category-defining technology with a kind, ambitious team, you’ll love it here.The Machine Learning team empowers enterprise customers and developers on Replicant’s platform to help create delightful conversations that provide fast and effective resolutions to their clients through contact center automation.  We define and build the next generation of bot building paradigms for complex enterprise customer service and contact center automation scenarios. You will be part of a cross-functional group of engineers that are applying the latest research in Generative AI and NLP - including LLMs and other advancements in research into our core product lines.  What you'll doLeading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields Translating the latest research into high-performing systems and models that can be practically applied to enhance user experiences Help set the team's strategic direction, cultivating an environment that encourages innovation and professional growthActively engaging in all aspects of development, from ideation and experimentation to implementation and deploymentCollaborating with various teams and product managers to develop and implement ML based solutions, ensuring performance optimization and alignment with broader business goalsWhat you'll bring5+ years of software development experience in ML infra, ML tooling, or products with ML usagePreferred if experienced with the ML ecosystem (e.g. python, pytorch, faiss, elastic search)Excellent communication skills and a vivid imaginationPassion about engineering and team cultureYou love tackling ambiguous technical problems and developing solutions to problems with significant impactYou are an independent thinker and like to own and solve complex problemsYou are interested in exploring the nuance and aesthetic of conversations#LI-RemoteFor all full-time employees, we offer:🏠  Remote working environment that respects time zone differences💸  Highly competitive salaries, equity, and for US Employees, a 401(k) plan🏥  Top of the line healthcare (medical, vision, and dental)🏋️  Health and Wellness Perk🖥️ Equipment Stipend🌴  Flexible vacation policy✈️  Amazing team trips & offsites where you can find our CEO baking bread for the team🌺 Replicants are eligible for a 5-week sabbatical after being at the company for 4.5 yearsOur ValuesReplicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture.Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team.Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do.Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own.Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai and we’ll work to meet your needs.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Auto Engineer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Bachelor, PhD, Master’s degree in Mechanical Engineering You have at least 3 years of professional experience in Auto Engineering Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is exclusively available to graduates of Bath University students & graduates. Applications from students or alumni of other programs will be rejected without consideration.About the CompanyAt Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills.Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have or are currently obtaining a Bachelor's degree Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. 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. About the RoleLambda Security protects some of the world's most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence.As a Security Engineer on our Architecture team, you'll be the technical foundation of our security design decisions, creating security architecture patterns and standards that directly protect customer data and enable Lambda to be the safest place to build with AI.Reporting to the Senior Manager of Security and collaborating closely with Product Engineering, Platform Engineering, and embedded Technical Program Managers, you'll drive security architecture improvements across our AI-focused infrastructure. Your work will span security design reviews, threat modeling, architecture patterns, and security requirements that scale with our rapid growth while maintaining the highest security standards.You will work on creating security architecture patterns, conducting threat models and security reviews, establishing security requirements for engineering teams, and developing customer-facing security documentation. You'll have unique access to LLMs hosted on our own infrastructure to pioneer AI-powered security architecture solutions that wouldn't be possible anywhere else.If you thrive on solving complex security design challenges in cutting-edge AI infrastructure and want to build security architectures that scale from hundreds to thousands of systems, we'd love to talk.We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role. Your application is not a waste of our time.What You’ll DoDrive Security Architecture: Design and document comprehensive security patterns, standards, and implementation guides that engineering teams can adopt to build secure-by-default systems.Lead Security Reviews: Conduct security design reviews and develop threat models for critical systems, identifying risks and providing actionable recommendations.Develop Security Requirements: Create clear security requirements and acceptance criteria that integrate seamlessly into engineering development cycles.Build Security Solutions: Prototype and implement security controls, tools, and automation that demonstrate secure patterns and enable self-service security.Pioneer AI-Powered Architecture: Leverage Lambda's hosted LLMs to build next-generation security capabilities including automated threat modeling, AI-assisted security reviews, and intelligent architecture recommendations that push far beyond traditional approaches.Collaborate Across Engineering: Partner with Product and Platform Engineering teams to integrate security architecture requirements into their designs at optimal moments.Enable Customer Trust: Develop customer-facing security documentation, architecture whitepapers, and technical security content that demonstrates our security maturity.Mentor Security Excellence: Coach engineers across the organization on secure design principles and security architecture patterns, multiplying your impact.Drive Architectural Standards: Establish and maintain security architecture standards that protect critical assets while enabling development velocity.Advocate for Security: Communicate security architecture value to stakeholders, translating technical risks into business impact for informed decision-making.What We Think a Candidate Needs to Demonstrate to SucceedHave 3+ years of security engineering or security architecture experience and 5+ years of total engineering experience, with demonstrated impact protecting enterprise infrastructure.Thrive in high-speed, high-ambiguity startup environments where you are constantly balancing security goals with business needs.Deep technical expertise in security architecture patterns, threat modeling methodologies, and security design principles.Excel at solving problems through design and prototyping in Python, Go, or similar languages.Proven ability to work effectively with cross-functional technical teams both with and without authority (we're all on the same team!).Strong Linux systems experience in both bare metal and cloud environments, understanding infrastructure from kernel to application layer.Demonstrated experience driving security improvements that were enthusiastically adopted by engineering teams.Excellence at translating security architecture decisions into business risk, enabling stakeholders to make informed decisions.Nice to HaveYou've led the security assessment and requirements for major platform components or enterprise systems.Experience driving or providing significant evidence for compliance audits, such as SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP.Deep experience with cloud security architecture and cloud provider security services (AWS, GCP, Azure).Experience with AI/ML system security, including model security, data pipeline protection, or adversarial threat modeling (yes, we know it’s all brand new), or other high sensitivity workloads.You've developed security architecture patterns that were adopted across multiple engineering teams.Security certifications like CISSP, OSCP, or similar that demonstrate continued learning.Experience with infrastructure-as-code security patterns and secure DevOps practices.Excitement about leveraging our direct access to state-of-the-art LLMs to revolutionize security architecture—imagine AI-powered threat modeling, automated security design reviews, and intelligent architecture validation at a scale only possible when you host the AI infrastructure yourself.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. 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, ~400 employees (2025) 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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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.At Tenstorrent, we’re building cutting-edge hardware and software solutions that power AI, HPC, and general-purpose workloads. As a Performance Architect on our Platform Architecture team, you’ll work across ML software stacks, compilers, CPU design, cache coherency protocols, and interconnect fabrics to shape the future of high-performance systems. This role is all about bridging software execution and silicon design—making data-driven decisions that directly influence our SoC performance. This role is remote, based out of The United States. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.   Who You Are Passionate about solving complex system-level performance problems. Comfortable working across hardware and software boundaries. Analytical and data-driven, with a talent for turning workloads into architectural insights. Collaborative, thriving in cross-functional teams spanning compilers, CPU, and interconnect. Excited to shape the future of AI/HPC platforms through performance architecture.   What We Need BS/MS/PhD in EE, ECE, CE, or CS Deep understanding of NoC topologies, routing algorithms, QoS, and traffic scheduling. Expertise in cache coherency protocols (AMBA CHI/AXI) and modern memory/IO technologies (DDR, LPDDR, GDDR, PCIe, CCIX, CXL). Proficiency in C/C++ programming, with experience in building efficient performance models. Familiarity with ML/AI traffic patterns or formal verification of cache coherence protocols is a strong plus.   What You Will Learn How real ML/AI traffic patterns influence SoC interconnect and cache design. The art of balancing performance vs. complexity in coherence and memory hierarchies. How performance models feed into CPU and accelerator microarchitecture decisions. Best practices for correlating pre-silicon and post-silicon performance. Cutting-edge approaches to integrating heterogeneous compute systems at scale.   Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.About the Role We are seeking a Senior or Principal Scientist to join our team and lead from the bench. The ideal candidate will have a strong foundation in protein expression in both eukaryotic, prokaryotic and cell free systems, with demonstrated expertise in cloning techniques essential for therapeutic protein development.  Candidates with pharmaceutical or industrial experience in protein production at scales ranging from microgram to gram scales are strongly preferred. About You The successful candidate will have a strong understanding of the biophysics of protein-protein interactions, protein chemistry and extensive experience in the molecular biology and biophysical techniques essential for protein engineering. You will be expected to work independently, drive scientific execution in the lab, and provide technical leadership on complex projects.  Supervisory or mentorship experience is desirable, as is the ability to collaborate effectively within cross-functional teams spanning discovery, process development, and analytical functions. Strong communication skills and the ability to present scientific data to diverse audiences are essential.  We are looking for a highly adaptable individual who can excel in a fast-paced, matrixed environment with shifting priorities and multiple responsibilities. This is a hands-on role suited for a scientist who is passionate about advancing drug discovery and development through innovation and scientific rigor.   Key Responsibilities Protein expression in multiple systems including mammalian, prokaryotic, insect and cell free systems is the primary responsibility. Downstream processing of samples including harvesting cells in small scale and up to 20 L using depth filters, affinity chromatography, ion exchange chromatography, and sizing. Use of various analytical techniques to evaluate process efficiency and quality. It is anticipated that this will require creative and unique approaches, including construct design and screening to increase yields, the development of novel strategies and methods for difficult to express proteins and to increase stability of problematic proteins.  The target proteins will be therapeutic proteins, antigens for the generation of therapeutics, assay reagents for screens, and proteins for structural studies. Experience in high throughput expression and purification is expected. The experience and flexibility to work on downstream purification is required. Leadership and mentoring of team members is expected. Excellent record keeping and organization is a must. Qualifications PhD with 8+ years of industry experience is required. Strong technical background in protein expression, tissue culture, aseptic techniques, and the operation and maintenance of bioreactors in an industry setting a must. Experienced molecular biologist with the ability to design and make expression constructs is required. Mammalian transient protein expression and cell line generation is required. Experience with insect cell expression using baculovirus and S2 cell line generation is strongly preferred. Experience with prokaryotic and cell free expression is a plus. Hands-on experience in generating and managing research cell banks is essential. Experience in protein purification and protein characterization is required. Experience with HPLC and FPLC techniques is desirable, specifically, knowledge of Agilent HPLC and Cytiva AKTA systems.  Downstream medium scale (10 - 20 L) sample preparation for purification. Protein analysis for expression including SDS-PAGE, CE-SDS, glycosylation analysis, cIEF and BLI/SPR. Demonstrated expertise in protein expression processes, ranging from 96-well plate formats to scales of up to 10-liter bioreactors, is required. Proven expertise in biological research, demonstrated by publications in peer-reviewed journals, issued patents, and successful IND filings. Track record of independently leading complex research projects while working collaboratively within cross-functional teams. Committed to fostering an inclusive, respectful environment that embraces diverse perspectives. Demonstrated inclusive leadership through active listening and thoughtful engagement with all viewpoints.   Compensation We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $140,000 - $205,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience. Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end. Xaira Therapeutics is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform critical job functions, and to receive other benefits and privileges of employment. Please contact Human Resources to request accommodation. TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.  

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JOB DESCRIPTION:As a Manager of Autonomy Applications, you'll lead a team of applications engineers, providing expert support for customers using our SDK. You’ll prioritize and resolve complex issues, mentor your team, and collaborate with internal teams to drive product improvements. With your technical expertise and leadership, you'll play a key role in enhancing customer engagement and supporting the growth of our robotics and autonomy solutions. WHAT YOU'LL DO:Serve as the functional team lead for a team of customer facing applications engineersGuide, mentor, and develop a team of applications engineers to provide expert support and troubleshooting for customersManage, prioritize and delegate customer issuesSupport BD in pre-sales and post-sales activities as a technical resourceEnsure timely and effective technical assistance, troubleshooting, and onboarding support for customers implementing the SDKMaintain a deep understanding of the SDK’s features, updates, and use cases to guide the team and assist customersOversee and contribute to the creation and continuous improvement of technical resources, such as user guides, FAQs, and knowledge basesAct as an escalation point for complex customer issues and provide hands-on support when necessaryCoordinate closely with product development, sales, and customer success teams to ensure customer feedback informs SDK improvements and new featuresAct as a liaison between customers and internal teams to advocate for customer needs and communicate product updatesDevelop and grow your teammates through mentorship and trainingSet performance goals, conduct regular evaluations, and foster a collaborative team environmentDevelop and refine support processes to improve team efficiency, customer satisfaction, and response times.Track and report on key metrics related to customer engagement, issue resolution, and team performance to stakeholders. REQUIRED QUALIFICATIONS:Experience developing software for mobile robot / autonomy applicationsExperience in the defense aviation or robotics industryExperience building and running a 5–7-person enterprise software applications/solutions engineering teamTypically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Team At Anthropic, the Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do. What you'll do: We are hiring an Engineering Manager to lead our Cloud Security team, whose remit is to build and maintain secure foundations for our AI systems. This role focuses on cloud infrastructure and platform services, with particular emphasis on data protection, intuitive access controls, and enabling secure-by-default patterns across our multi-cloud environments. In this role you will: Lead a security engineering team while maintaining deep technical involvement in cloud security architecture across all cloud environments Design and implement comprehensive security controls for model weights, customer data, and training datasets Build secure-by-default infrastructure to create self-service patterns that prevent misconfigurations while enabling engineering velocity Establish continuous attack surface monitoring and automated remediation systems using cloud security posture management tools, custom detection capabilities, and infrastructure-as-code security scanning Partner with product, research, and infrastructure teams to embed security requirements into system design and development workflows from inception through deployment Identify and assess systematic risks across the organization, translating complex security requirements into prioritized roadmaps and actionable engineering work Develop security and reliability metrics and observability systems that measure risk posture, demonstrate security improvements, and inform data-driven security investments Coach and mentor engineers while building a team culture that balances security rigor with development velocity and innovation Who You Are: 4+ years managing security engineering teams with proven track record of team productivity 5+ years hands-on infrastructure security and software engineering experience Deep expertise in securing complex cloud environments, threat modeling, and risk assessment Strong cross-functional collaboration skills, balancing security requirements with business objectives Clear and persuasive communicator in both writing and verbal settings Low ego, high empathy leader who attracts talent and builds diverse, inclusive teams Passionate about developing engineers' careers in a supportive yet challenging environment Experience working with technical internal customers Familiarity with AI safety concepts and frameworks Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is:Annual Salary:$320,000—$405,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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Why you should join usTandem is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked – we have:Exponential organic growth: We have product-market fit and are growing rapidly through word-of-mouth. Tandem supports thousands of patients every day, is doubling doctor users every quarter, and is working with the largest biopharma companies in the world.An AI-first business model: Our approach is distinctly enabled by AI, but our business will get stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that will compound over time.Top tier investors: With the traction to support conviction in our model, we raised significant funding from investors (including Thrive Capital, General Catalyst, Bain Capital Ventures, and Pear VC) to build an exceptional team of engineers and operators.Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.All full-time roles are in person in New York. You can learn more about working with us in the last section of this page.About the roleAs a Clinical Intelligence Specialist at Tandem, you will help define the clinical standards that guide how we scale our platform. You’ll translate your experience into structured frameworks that inform everything from how medical records are interpreted to how treatment decisions are supported — improving the accuracy, speed, and consistency of patient access workflows across the board.This is a high-context, cross-functional role that blends clinical expertise with systems thinking. You will work closely with our product, engineering, and AI teams to define decision logic, surface edge cases, and help us build reliable, clinically sound tools. Your work will shape the foundation of how Tandem supports providers and patients at scale — and help ensure our platform reflects the best of both medicine and technology.This is a demanding role, with a high level of autonomy and responsibility. You will be expected to "act like an owner" and commit yourself to Tandem's success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you.This is a remote contract position and we have flexibility to support part-time commitments.If you join, you will:Translate clinical expertise into scalable logic, workflows, and quality standards used across Tandem’s platformCurate and audit datasets to maintain high-quality, representative training and testing materialEvaluate and refine system performance to ensure clinical accuracy and reliability, using your expertise to analyze feedback and resolve issues with AI and agent outputsCollaborate cross-functionally to ensure platform behavior reflects real-world clinical reasoning and standardsExpand knowledge across medical specialties to inform the development of AI solutions tailored to diverse clinical needsInform the development of new products, services, and specialty-specific modulesWe’ll be most excited if you have:2–8 years as a board certified Nurse Practitioner (NP), Physician Assistant (PA), or similar advanced clinical role, directly providing patient care and clinical decision-makingExperience as part of an interdisciplinary team in outpatient or specialty settings, particularly in contexts involving medication prior authorizations and ensuring patient access to therapyStrong written communication, with an ability to translate clinical complexity into context and logic that can be understood by non-clinical teamsComfort and/or a strong interest in collaborating with product, engineering, and data science teammates on building new technologiesHigh NPS with your former teammatesThis is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.Working with usTandem is based in New York, with our full team working out of a beautiful and spacious office in SoHo. We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:Commit to audacity. "Whether you think you can, or you think you can't – you're right.”Do the math. Be rigorous, assume nothing.Find the shortest path. Use hacks, favors, and backdoors. Only take a longer road on purpose.Spit it out. Be direct, invite critique, avoid equivocation – we want right answers.Be demanding and supportive. Expect excellence from everyone and offer help to achieve it.Do what it takes to be number 1. We work hard to make sure we win.We provide competitive compensation with meaningful equity (for full-time employees). Everyone who joins early will be a major contributor to our success, and we reflect this through ownership and pay.We also provide rich benefits to ensure you can focus on creating impact (for full-time employees):Fully covered medical, vision, and dental insurance.Memberships for One Medical, Talkspace, Teladoc, and Kindbody.Unlimited paid time off (PTO) and 16 weeks of parental leave.401K plan setup, FSA option, commuter benefits, and DashPass.Lunch at the office every day and Dinner at the office after 7 pm.Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Tandem (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Tandem is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

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Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.Position Overview We are seeking a Robotics Technician to help sustain and improve Skild’s internal robot operations. In this role, you will take ownership of complex diagnostics, repairs, and design improvements to keep our robotic systems running smoothly. You will work closely with AI and robotics engineers, as well as operations managers, to ensure technical issues are quickly identified, root-caused, and resolved—driving reliability and scalability across our fleet. Responsibilities Diagnose, troubleshoot, and repair complex mechanical, electrical, software, and perception system issues across a large fleet of robots. Collaborate with engineers to identify recurring issues, recommend design improvements, and enhance serviceability. Communicate technical findings clearly and contribute to documentation, repair manuals, and troubleshooting guides. Perform CAD design, prototype fabrication, and robotic hardware assembly. Improve embedded control systems and implement electromechanical and perception systems. Conduct root cause analysis, debugging, and testing for sensors, edge compute devices, and control systems. Build dashboards (Looker, Tableau) and develop automation scripts in Python and Linux. Maintain detailed records of repairs, maintenance activities, and recurring technical issues. Preferred Qualifications 5+ years of full time work experience in relevant industry Strong experience in diagnosing and repairing mechanical, electrical, and software systems. Proficiency in CAD design and prototype fabrication. Familiarity with embedded control systems, perception technologies, and electromechanical components. Excellent communication skills for cross-functional collaboration. Experience supporting large fleets of robots or complex automated systems.  

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Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.Position Overview We are seeking a Robotics Technician to help sustain and improve Skild’s internal robot operations. In this role, you will take ownership of complex diagnostics, repairs, and design improvements to keep our robotic systems running smoothly. You will work closely with AI and robotics engineers, as well as operations managers, to ensure technical issues are quickly identified, root-caused, and resolved—driving reliability and scalability across our fleet. Responsibilities Diagnose, troubleshoot, and repair complex mechanical, electrical, software, and perception system issues across a large fleet of robots. Collaborate with engineers to identify recurring issues, recommend design improvements, and enhance serviceability. Communicate technical findings clearly and contribute to documentation, repair manuals, and troubleshooting guides. Perform CAD design, prototype fabrication, and robotic hardware assembly. Improve embedded control systems and implement electromechanical and perception systems. Conduct root cause analysis, debugging, and testing for sensors, edge compute devices, and control systems. Build dashboards (Looker, Tableau) and develop automation scripts in Python and Linux. Maintain detailed records of repairs, maintenance activities, and recurring technical issues. Preferred Qualifications 5+ years of full time work experience in relevant industry Strong experience in diagnosing and repairing mechanical, electrical, and software systems. Proficiency in CAD design and prototype fabrication. Familiarity with embedded control systems, perception technologies, and electromechanical components. Excellent communication skills for cross-functional collaboration. Experience supporting large fleets of robots or complex automated systems.  

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Scale AI is looking for an accomplished and driven Director of Product Marketing to lead the function. The product marketing team at Scale helps maintain Scale’s brand, brings new products and solutions to market for all of Scale Business Units (BUs), and develops content and programs that inspires our customers, drives our sales team, and enhances credibility for the Scale brand.  Responsibilities: Market Research & Understanding: Acquire and possess in-depth understanding of our target markets, segments, buyer personas, competitors, and partners. GTM Strategy: Each of our BUs require a different GTM strategy. Define and own the go-to-market strategy and tactics for all products and solutions for each of our BUs. Develop integrated marketing plans in collaboration with sales, product, field, and growth that drive pipeline.  Product Launch Leadership: Develop and coordinate a calendar of product and research launches across the PMM team.  Sales Enablement: Support our sales and marketing efforts as a thought leader and subject matter expert, creating and delivering compelling collateral, tools, and programs. Develop educational and inspiring presentations for industry, customer, press, partner, and analyst meetings. Team Building: Manage and grow a top-tier product marketing team. Guide the team to ensure excellence in messaging & positioning, content, tactics, processes, and tools.  Minimum requirements: 8+ years of experience in product marketing, particularly in B2B and/or B2G environments. 4+ years building and leading a high performing team of individual product marketing contributors and/or managers. An understanding of AI/ML technology – how models are developed, and how they can be customized for various use cases and applications.  Excellent written and verbal communication, problem-solving, modern storytelling, and analysis skills, with excellent business judgment Ability to influence at all levels, including executive, and to work across functions  A collaborative mindset, drive to create and improve processes, and willingness to support team members on their projects as needed An outstanding level of attention to detail Nice to haves: Experience marketing AI products or solutions 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:$220,000—$275,000 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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Job Description:As Manager of Autonomy Applications Engineering, you will lead a team of 4–5 engineers focused on developing internal demonstrations that reflect realistic customer use cases. Your team will act as the voice of the customer—building and validating Concepts of Operations (CONOPs) that demonstrate how our SDK is used in autonomy applications. Leveraging reference platforms and test environments, your team will ensure our solutions are operationally ready prior to customer engagement. In addition, the team will be responsible for developing advanced training content to help customers and internal teams gain deep proficiency in our SDK. A key motivator for the team is seeing customers successfully deploy autonomy applications in 120 days—a milestone that brings a deep sense of accomplishment and validates the team’s impact.  What you'll do:Manage and mentor a team of 4–5 applications engineers focused on customer-aligned workflows and solutions Lead cross-functional projects to build and maintain internal CONOPs that mirror real-world use of the SDK Work hands-on with reference autonomy platforms (e.g., quadcopters, UAV, simulations) to validate system functionality Act as the voice of the customer, turning field feedback into actionable insights for product and engineering teams Collaborate across product, engineering, and GTM teams to ensure our tools and demos anticipate customer needs Ensure internal validation and demonstration of features ahead of customer delivery Oversee the development and rollout of advanced technical training courses and materials Align demonstrations and training with the goal of enabling customers to achieve first deployment within 120 days Celebrate and share learnings from customer successes, reinforcing the team’s contribution to fast and effective adoption Track team performance, project milestones, and training delivery outcomes Required qualifications:Bachelor’s degree in Aerospace Engineering, Computer Science, or a related technical field 7+ years of industry experience, including: 2+ years in a customer-facing or autonomy-focused engineering role 2+ years leading technical teams or engineering projects Experience with autonomy platforms or robotic systems (hardware and/or simulation) Proficiency in C++ and working knowledge of Python Strong communication, organizational, and cross-functional collaboration skills Ability to convert technical workflows into high-quality training and documentation  Preferred qualifications:Experience developing or validating autonomy software for aerial or ground robotics platforms Familiarity with concept development, mission rehearsal, or operational planning Experience creating and delivering technical training programs or enablement content Background in defense, aviation, or high-assurance embedded systems environments 

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Ironclad is the leading AI-powered contract lifecycle management platform, processing billions of contracts every year. Every business is powered by contracts, but managing them can slow companies down and cost millions of dollars. Global innovators like L’Oréal, OpenAI, and Salesforce trust Ironclad to transform contracting into a strategic advantage - accelerating revenue, reducing risk, and driving efficiency. It’s the only platform that manages every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA. We’re building the future of intelligent contracting and writing the narrative for how contracts unlock strategic growth. Forrester Wave and Gartner Magic Quadrant have consistently recognized Ironclad as a leader in our category. We’ve also been named one of Fortune’s Great Places to Work six years running, featured on Glassdoor’s Best Places to Work, and recognized by Forbes’ 50 Most Promising AI Companies. We’re backed by leading investors like Accel, Sequoia, Y Combinator, and BOND. We’d love for you to join us! This is a hybrid role. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events. AI Engineering @ IroncladIronclad is accelerating its AI initiatives to transform how contracts are built, managed & executed across an organization. We're looking for a AI/ML Engineer to help shape the future of legal AI. In this role, you’ll work with cutting-edge technologies such as Context Engineering, LLM Tuning / Post Training, Evaluation Frameworks to develop state-of-the-art models and intelligent systems that power product features used by leading legal teams.You’ll partner closely with product managers and designers to translate user needs into AI-powered product capabilities. You’ll also lead efforts in model evaluation, iteration, and deployment—ensuring our systems are robust, explainable, and continuously improving. As part of our end-to-end ownership model, you’ll contribute to the MLOps stack to ensure our models are scalable, reliable, and performant in production.What you'll be doing:Build and Tune models and AI capabilities that ingest legal documents, extract key information, and deliver actionable insights to customersImplementing backend services that power document understanding, classification, and natural language search2 years of previous experience exploring and applying cutting-edge techniques in NLP, LLM integration, Prompt / Context Engineering, and semantic search to advance Ironclad’s AI/ML vision2 years of previous experience designing and maintaining robust systems for context management, model training / tuning, orchestration, evaluation & inference, with a focus on scalability, reliability, and observability2 years of previous experience developing and scaling retrieval-augmented generation (RAG) systems and agent-based orchestration frameworks for complex legal workflowsHelp build foundational AI/ML infrastructure, including tools for experimentation, model versioning, and online/offline performance monitoringPartner closely with product managers and designers to shape user-facing AI experiences and deliver value through APIs and intelligent featuresRequired skills:BS or advanced degree in Computer Science, Engineering, or a related fieldExperience working with large language models (e.g., GPT, Claude) or building RAG systemsExperience with embedding models and vector databasesExperience in training, evaluating, and serving AI/ML models7+ years of hands-on experience with Python, backend service development, and RESTful APIsExperience in NLP techniques such as text classification, entity extraction, document understanding, or question answeringProficiency with AI frameworks and APIs (e.g., PyTorch, TensorFlow, HuggingFace , OpenAI , LangChain)Experience with cloud platforms (e.g., GCP, AWS, Azure)Solid understanding of Git or other version control systemsStrong engineering fundamentals and attention to code quality, testing, and maintainabilityExcellent communication and collaboration skillsPassion for building AI products that solve real-world customer problemsSNice to have:Familiarity with Vertex AI or other managed ML platformsExperience working with PDF and DOCX parsing for document ingestionComfort with Docker and containerized developmentFamiliarity with CI/CD systems (e.g., GitHub Actions, CircleCI)Monitoring and observability with tools like Datadog or equivalentExperience with data processing and analysis using tools like SQL, Pandas, NumPy, or PySparkBenefits:Health, dental, and vision insurance401kWellness reimbursementTake what you need vacation policyGenerous parental leave for both primary and secondary caregiversBase Salary Range - Senior: $180,000 - $200,000Base Salary Range - Staff: $210,000 - $235,000 The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.ABOUT THE TEAM The Air Dominance & Strike team at Anduril develops aerial and multi-domain robotic systems. The team is responsible for taking products like Fury (unmanned fighter jet) and Barracuda (air-breathing cruise missile) from concept to product. The team also develops Lattice for Mission Autonomy, Anduril’s premier software platform that enables masses of Fury, Barracuda, and other first and third party robots to collaborate across various missions. We work in close coordination with specialist teams like Perception, Motion Planning, Hardware, and Test Engineering to solve some of the hardest problems facing our customers. We are looking for software engineers and roboticists excited about creating a powerful autonomy software stack that includes computer vision, motion planning, SLAM, controls, estimation, and secure communications. REQUIRED QUALIFICATIONS Currently possesses and is able to maintain an active U.S. Secret security clearance Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics 3+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc. Experience building software solutions involving significant amounts of data processing and analysis Ability to quickly understand and navigate complex systems and established code bases A desire to work on critical software that has a real-world impact PREFERRED QUALIFICATIONS Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling & simulation (M&S) and physical systems Developing and testing multi-agent autonomous systems and deploying in real-world environments Feature and algorithm development with an understanding of behavior trees Developing software/hardware for flight systems and safety critical functionality Distributed communication networks and message standards Knowledge of military systems and operational tactics US Salary Range$138,000—$252,000 USD  The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Platinum Healthcare Benefits: For U.S. roles, we offer comprehensive medical, dental, and vision plans at little to no cost to you. For UK roles, Private Medical Insurance (PMI): Anduril will cover the full cost of the insurance premium for an employee and dependents. For AUS roles, Private health plan through Bupa: Coverage is fully subsidized by Anduril. Basic Life/AD&D and long-term disability insurance 100% covered by Anduril, plus the option to purchase additional life insurance for you and your dependents. Extremely generous company holiday calendar including a holiday hiatus in December, and highly competitive PTO plans. 16 weeks of paid Caregiver & Wellness Leave to care for a family member, bond with your baby, or tend to your own medical condition. Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting. Mental Health Resources: We provide free mental health resources 24/7 including therapy, life coaching, and more. Additional work-life services, such as free legal and financial support, available to you as well. A professional development stipend is available to all Andurilians. Daily Meals and Provisions: For many of our offices this means breakfast, lunch and fully stocked micro-kitchens. Company-funded commuter benefits available based on your region. Relocation assistance (depending on role eligibility). 401(k) retirement savings plan - both a traditional and Roth 401(k). (US roles only) The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we'd love to hear from you! To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.

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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. Summary/OverviewAt Horizon3.ai, we’re redefining the offensive cybersecurity space—and we need a forward-thinking, technically fluent Product Manager to own the SaaS platform capabilities that power our enterprise and MSP customers. This high-impact role will focus on user authentication, authorization models, organizational/tenant management, user settings, and auditability—ensuring our platform scales securely and effectively for the most demanding environments.You’ll work closely with engineering, architects, and customer-facing teams to define and deliver enterprise-grade platform features that provide governance, security, and operational efficiency. From authentication and role-based access control to tenant hierarchies, user preferences, and comprehensive audit logging, you’ll set the strategy for the foundational elements of our SaaS platform.This is a pivotal opportunity for a product leader who thrives at the intersection of system design, security, and enterprise customer experience. If you’ve led platform initiatives around RBAC, identity, tenant management, or compliance in high-growth SaaS environments, we want to hear from you. What You’ll DoOwn the SaaS Platform Vision – Define and drive the roadmap for authentication, authorization, user settings, tenant management, and auditability.Advance Authentication Capabilities – Deliver enterprise-grade identity features including SSO, MFA, passwordless login, and support for standards like OAuth and SAML.Evolve Authorization Models – Define and refine roles, permissions, and flexible RBAC/ABAC structures to support complex enterprise and MSP environments.Enable Org & Tenant Management – Build multi-tenant capabilities, tenant hierarchies, provisioning/de-provisioning flows, and delegated administration.Deliver Comprehensive Auditability – Ensure audit logs, activity tracking, and reporting provide transparency, compliance support, and operational visibility.Enhance User Settings & Preferences – Own the experience for user profile management, notification settings, personalization, and self-service account options.Champion Governance & Security – Translate enterprise compliance and administrative needs into features that balance usability with control.Work Cross-Functionally – Partner with engineering, security, and customer success to prioritize and deliver scalable, enterprise-ready platform features.Translate Complexity into Roadmaps – Break down deeply technical requirements into actionable development plans sequenced for both near-term impact and long-term scalability.What We’re Looking ForYou’ve built and scaled SaaS platforms at high-growth companies, with a focus on enterprise or MSP customers.You’ve led initiatives around authentication, authorization, user settings, tenant management, or auditability.You’re comfortable owning deeply technical products—identity standards, RBAC/ABAC, SaaS governance models, and user-facing account settings.You think in terms of platforms and systems, not just features, and you balance security, usability, and scalability in every decision.You excel at cross-functional collaboration and aligning platform vision with technical execution.You’re comfortable getting into the details of authentication flows, permission structures, and user preference models while also zooming out to set direction.Required Background6+ years in product management or technical product roles, ideally in B2B SaaS or cybersecurity.Demonstrated ownership of identity/authentication, RBAC/ABAC models, user settings, tenant management, or audit logging features.Strong technical fluency—comfortable with authentication standards (SAML, OAuth, SCIM), RBAC/ABAC models, and SaaS architectures.Experience working with platform, infrastructure, or backend teams.Familiarity with Agile methodologies in complex technical environments.Bonus PointsPrior hands-on development experience or a CS/engineering degree.Experience designing multi-tenant SaaS platforms or MSP-oriented capabilities.Exposure to audit/compliance frameworks (SOC2, FedRAMP, ISO 27001).Background in cybersecurity, identity management, or enterprise SaaS security features.Experience with licensing models, entitlements, or user provisioning systems.Location & Travel RequirementsPreferred location: San Francisco Bay Area, New York but open to remoteUp to 15% travel requiredCompensation and Values:At 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: $200,000 - $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.ai:Inclusive 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 Here:Horizon3 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, hair length 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 Duties:Please 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 Note:In 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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We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. 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.What you’ll doLead the AI Cloud Core Platform team of ~6 engineers, with end-to-end ownership of Cloud Platform and governance capabilities.Drive execution of roadmap features including cluster lifecycle automation.Partner closely with Product and Design to ensure the user experience matches the needs of enterprise customers.Balance rapid feature delivery with longer-term investments in scalability, observability, and platform design.Hire, mentor, and grow a team of engineers, providing career development and feedback.Collaborate with other Lambda teams (Control Plane, Billing, Platform) to ensure smooth, integrated delivery across the stack.Contribute to a culture of high performance, documentation, humility, and curiosity.Be product-focused in your leadership and execution, always placing the needs of the customer first, with a particular focus on feature velocity, reliability and security.Shape a culture of sustainable, empathetic, and high-velocity engineering, with a deep focus on cross-team collaboration, documentation, and data-driven decision-making.You5+ years in a full-time management role at a high-growth technology company10+ years of industry experience in software engineering, with a focus on large-scale distributed systems and backend systems.Proven record of leading and building engineering teams that work on mission-critical, high performance systems.Proven track record leading teams that deliver enterprise features or governance platforms.Exceptional leadership skills that encompass leading by trust, building empathy with your reports and other teams, and maintaining a sustainable but rapid velocity.Demonstrated expertise in managing long-term projects alongside urgent, short-term priorities and incident resolution.Extensive experience collaborating with product, sales, and other engineering teams to build cohesive products with a focus on user experience and reliability.Ability to understand, review and structure Python and Go applications.Nice to HaveExperience with IAM, authentication/authorization (SSO, RBAC, SCIM), governance tooling, or compliance features.Background building cloud application platforms.Experience managing a remote, distributed teamSalary Range InformationThe annual salary range for this position has been set based on market data and other factors. 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, ~400 employees (2025) 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.