Find AI Work That Works for You

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Who we are:  AI is the new electricity: Just as electricity transformed numerous industries starting 100 years ago, AI is now poised to do the same. AI Fund is a venture studio founded by Dr. Andrew Ng in 2017. Our portfolio companies use  AI technology to build  applications across numerous industry sectors. The AI Fund team combines their experiences as AI pioneers, entrepreneurs, venture capitalists, investors, and operators. We are backed by a $370 million dollar fund from top-tier global corporations and VC firms. Our purpose is to build AI companies that move humanity forward. What we seek:  We are looking for an energetic Product Builder to join our build team to build AI Startups.  As founders and investors ourselves we are looking to add top new talent to our company building team.  We welcome candidates who possess a growth mindset, strong analytical skills and ability to handle ambiguity. You will be responsible for driving projects forward until either they are falsified (and ended) or smoothly transitioned to a newly found company.  What you will do: Carry out ideation and early product validation: You will be responsible for working with our partners to quickly validate or falsify specific ideas. This may involve generating candidate business concepts, prototyping, and customer interview workBuild a business case: For ideas that seem promising, you will be responsible for building a case for the business, including such elements as a TAM/SAM/SOM analysis, initial business model and initial GTM strategy, and compiling a pitch deck-like document that communicates the main thesis of the business, minimum viable product, initial go-to-market, and long-term visionAssist with bringing on FIRs (Founders in Residence): You will play an instrumental role in explaining the business idea to potential founders, helping them understand the potential of the business, and working to bring on a strong FIR to carry the business forward through a three month company Build StageSupport FIR, Venture Advisor, and AI Fund Partner through initial phases of the project: AI Fund and the FIR will meet regularly during the Build Stage. You will be  carrying out both product and program management roles during this period. As program manager, you will stay on top of all of the communication internally and externally with the FIR, as well as communicate schedules and track milestones. You will report out to the Venture Advisor and Partner key update, as well as ensure fast escalation should any problems arise. As product manager, you will assist with customer discovery calls, identify customer needs, work to explore and achieve product-market fit, research competitors and substitutes, coordinate internal and external resources, build financial models, work on the pitch deck and anything upon request by the FIR, Venture Advisor or Partner Support the AI Fund’s investment decision at the conclusion of the Build Stage: You will be helping to build a case for whether or not the AI Fund should investContinue to follow and support the new portfolio company: As it grows its team, builds its product, closes its initial customers, and faces down challenges en route to closing its first external round of financing What you must bring: Able to work well with senior executives in a way that makes efficient use of their timeExcellent quantitative and analytical skills normally found with STEM degrees or equivalent background where you have practiced and honed such skill setsPrevious 0 to 1 software startup experienceAt least one of (i) Previous experience working in venture capital assessing business plans and working with start-ups and entrepreneurs, or (ii) technical startup experience in a product or building capacityStrong due diligence skills including market research, competitive market mapping, trend analysis, TAM/SAM/SOM analysis, go-to-market strategy formulation, and pro-forma financial construction and analysisCan write software code with AI assistance Proactive self-starter with a strong work ethic and ownership mentalityExcellent organizational skills to keep projects moving forward to meet predetermined milestonesGrowth and technical startup mindset. This may include willingness to try and fail but try again, biased to action, capable of handling ambiguity, scrappy, flexible and comfortable being outside of one’s comfort zone, able to learn from and incorporate feedback to enhance one’s analytical and interpersonal skillsMust have a curious mindset and keep up to date with latest trends in AI Excellent interpersonal and communication skillsStrong writing and presentation skillsStrong Gen AI and ML knowledge  Nice to haves: Previous experience working in a venture studio or venture formation group within acorporationPrevious 0 to 1 software startup experience 

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the role As a Site Reliability Storage Engineer, you will play a pivotal role in designing, building, and operating exascale storage systems to manage our cutting-edge AI research data with unparalleled scalability and reliability across multiple regions. This role's core responsibility is to make sure our heterogenous storage systems in on-prem + cloud are reliable and performant.  We’re seeking engineers with expertise in exascale data management systems or distributed filesystems to join our mission-driven team. What you’ll do Develop and optimize software to manage exascale data, enabling efficient and reliable access for xAI researchers working on advanced AI models. Enhance the reliability, performance, and cost-effectiveness of xAI’s storage infrastructure to support large-scale AI research workloads. Collaborate closely with researchers to understand their data use cases and tailor storage solutions to meet their needs. Implement robust security measures to safeguard critical datasets, ensuring data integrity and confidentiality. Ideal Experience You’d be an exceptional candidate if you possess some (or all) of the following: Writing scalable, high-performance code in Rust or Go for storage-related applications or tooling. Managing storage infrastructure with IaC tools like Pulumi, Terraform, or Ansible. Past experience working with storage vendors facilitating partnership alignment, and integrating their tooling within xAI’s Infrastructure.   Familiarity with Kubernetes storage primitives (e.g., Persistent Volumes, CSI drivers) and integrating storage with containerized workloads. Bonus: Experience with AI/ML data pipelines, including handling large datasets for training and inference. Tech Stack Kubernetes Pulumi Rust and Go Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 45 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in Python, Golang, or Rust Systems hands-on: Demonstrate practical skills in a live problem-solving session. Coding assessment or system design discussion based on the candidate's background.  Project deep-dive: Present your past exceptional work to a small audience. Every application is reviewed by a member of our technical team. All interviews will be conducted via Google Meet. We do not condone usage of AI in interviews and have tools to detect AI usage. Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Who We Are At RelationalAI, we are building the future of intelligent data systems through our cloud-native relational knowledge graph management system—a platform designed for learning, reasoning, and prediction. We are a remote-first, globally distributed team with colleagues across six continents. From day one, we’ve embraced asynchronous collaboration and flexible schedules, recognizing that innovation doesn’t follow a 9-to-5. We are committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of every team member and believe in fostering a culture of respect, curiosity, and innovation. We support each other’s growth and success—and take the well-being of our colleagues seriously. We encourage everyone to find a healthy balance that affords them a productive, happy life, wherever they choose to live. We bring together engineers who love building core infrastructure, obsess over developer experience, and want to make complex systems scalable, observable, and reliable.Cloud Engineering - Software Engineer Location: Remote (EU/Middle East/North Africa/North America/South America) Experience Level: 2+ years Teams Hiring: Reliability Engineering, Continuous Integration, Continuous Deployment, and Data Ingestion Who We Are At RelationalAI, we are building the future of intelligent data systems through our cloud-native relational knowledge graph management system—a platform designed for learning, reasoning, and prediction. We are a remote-first, globally distributed team with colleagues across six continents. From day one, we’ve embraced asynchronous collaboration and flexible schedules, recognizing that innovation doesn’t follow a 9-to-5. We are committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of every team member and believe in fostering a culture of respect, curiosity, and innovation. We support each other’s growth and success—and take the well-being of our colleagues seriously. We encourage everyone to find a healthy balance that affords them a productive, happy life, wherever they choose to live. We bring together engineers who love building core infrastructure, obsess over developer experience, and want to make complex systems scalable, observable, and reliable. The Opportunity As a Software Engineer in our Cloud Engineering organization, you’ll work on one of four teams critical to the foundation and delivery of our platform: Reliability Engineering — Owns observability, incident response analytics, security & compliance enforcement, and service health insights. Continuous Integration — Builds and scales pre-integration pipelines, test infrastructure, and build systems to maintain developer velocity. Continuous Deployment — Manages CD pipelines, native app packaging, feature flagging, DR, and multi-cloud deployments. Data Ingestion (SF Integration) — Owns ingestion pipelines, SQL interfaces, billing, and resource provider framework bridging cloud and service layers. You’ll collaborate across engineering, product, and customer teams to build robust infrastructure and tools that enable high-velocity, high-confidence software delivery. You’ll also contribute to critical architectural decisions and champion reliability, efficiency, and simplicity in every layer of the stack. Who You Are & What You Bring You have 2+ years of hands-on software development experience. You’re language agnostic, comfortable working in whatever stack suits the problem best (e.g., Python, Go, Rust, etc.). You understand or are eager to learn cloud-native infrastructure: Kubernetes, containers, CI/CD systems, and infrastructure-as-code. You have a strong sense of ownership and engineering maturity—your code runs in production and you want it to stay up. You’re comfortable with ambiguity and thrive in environments where problems are not fully scoped. You care about developer experience and building the tooling that makes others faster and safer. You bring a security-first mindset to how infrastructure and systems are built. (Bonus: familiarity with compliance frameworks like SOC2, ISO 27001, etc.) You communicate clearly, seek feedback, and give it thoughtfully. You are interested in shared on-call responsibilities, after ramp-up, as part of a culture of ownership and operational excellence. Why Join RelationalAI Impact – You’ll help shape the platform that underpins data reasoning and intelligent systems at scale. Growth – We invest in our people. You’ll work alongside some of the most talented engineers in cloud, distributed systems, and AI infrastructure. Autonomy – You’ll have the trust and flexibility to explore, build, and lead from day one. Balance – We offer flexible working hours so you can find a rhythm that works for you and your life. RelationalAI is proud to be an equal opportunity employer. We welcome people of all backgrounds, experiences, and identities. We are committed to building a team that reflects the rich diversity of our customers and communities. The annual salary range for this position is $150,000 to $200,000. Actual compensation will be determined based on the candidate’s skills, qualifications, experience, and location. Please note that our compensation structure varies by region, and salary ranges may differ accordingly.Why RelationalAI RelationalAI is committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of our team. We are driven by curiosity, value innovation, and help each other to succeed and to grow. We take the well-being of our colleagues seriously, and offer flexible working hours so each individual can find a healthy balance that affords them a productive, happy life wherever they choose to live. 🌎 Global Benefits at RelationalAI At RelationalAI, we believe that people do their best work when they feel supported, empowered, and balanced. Our benefits prioritize well-being, flexibility, and growth, ensuring you have the resources to thrive both professionally and personally. We are all owners in the company and reward you with a competitive salary and equity. Work from anywhere in the world. Comprehensive benefits coverage, including global mental health support Open PTO – Take the time you need, when you need it. Company Holidays, Your Regional Holidays, and RAI Holidays—where we take one Monday off each month, followed by a week without recurring meetings, giving you the time and space to recharge. Paid parental leave – Supporting new parents as they grow their families. We invest in your learning & development Regular team offsites and global events – Building strong connections while working remotely through team offsites and global events that bring everyone together. A culture of transparency & knowledge-sharing – Open communication through team standups, fireside chats, and open meetings. Country Hiring Guidelines: RelationalAI hires around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements. Because of this, understanding location & visa support helps us better prepare to onboard our colleagues. Our People Operations team can help answer any questions about location after starting the recruitment process.   Privacy Policy: EU residents applying for positions at RelationalAI can see our Privacy Policy here. California residents applying for positions at RelationalAI can see our Privacy Policy here   RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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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 role As a Product Manager for the Research team at Anthropic, you will own the ideation and deployment of new products as we advance frontier, safe AI technology. You will work closely with our research teams to help productize applied research and identify high-potential use cases grounded in customer needs. We are looking for someone passionate about developing safe and beneficial artificial intelligence technologies. You have experience rapidly prototyping and launching innovative technologies and product. You thrive in ambiguous environments and accelerate research velocity into products. Your curiosity to understand user needs enables you to connect advanced technology to products delivering real-world value. Responsibilities: Lead vision, strategy, roadmap and execution of frontier technologies that leverage the latest AI capabilities to solve real-world problems Rapidly prototype and experiment with different products and services to validate product market fit Synthesize user insights into actionable product requirements, user stories, and product specifications Analyze metrics to inform future product development  Understand AI landscape and ecosystem, ensuring we have an objective view of market capabilities and our position Ability to work and influence across a diverse set of stakeholders, including research as well as product engineering and platform engineering You may be a good fit if you have: 5+ years in product management, experience launching new products and scaling existing products Technical background with experience working cross functionally with engineering teams to ship technical products Experience working with or applying Large Language Models in products Experience in the AI or machine learning industry Data-driven mindset with Python and SQL working proficiency a must The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions Track record of launching products that have found distribution or commercial success Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication Passion for using AI to create safe and beneficial products Think creatively about the risks and benefits of new technologies, and think beyond checklists and playbooks You stay up-to-date and informed by taking an active interest in emerging research and industry trends Have a creative hacker spirit and love solving puzzles Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is:Annual Salary:$275,000—$375,000 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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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 role: Anthropic is seeking a Linux OS and System Programming Subject Matter Expert to join our Infrastructure team. In this role, you'll lead efforts to accelerate and optimize our virtualization and VM workloads that power our AI infrastructure. Your deep expertise in low-level system programming, kernel optimization, and virtualization technologies will be crucial in ensuring Anthropic is able to scale our compute infrastructure efficiently and reliably for training and serving frontier AI models. Responsibilities: Lead optimization initiatives for our virtualization stack, improving performance, reliability, and efficiency of our VM environments Design and implement custom kernel modules, drivers, and system-level components to enhance our compute infrastructure Troubleshoot complex performance bottlenecks in virtualized environments and develop solutions Collaborate with cloud engineering teams to optimize interactions between our workloads and underlying hardware Develop tooling for monitoring and improving virtualization performance Work with our ML engineers to understand their computational needs and optimize our systems accordingly Contribute to the design and implementation of our next-generation compute infrastructure Mentor other engineers on low-level systems programming and Linux kernel internals Partner closely with cloud providers to influence hardware and platform features for AI workloads You may be a good fit if you: Have 5+ years of experience with Linux kernel development, system programming, or related low-level software engineering Possess deep understanding of virtualization technologies (KVM, Xen, QEMU, etc.) and their performance characteristics Have experience optimizing system performance for compute-intensive workloads Are familiar with modern CPU architectures and memory systems Have strong C/C++ programming skills and experience with systems languages like Rust Understand the intricacies of Linux resource management, scheduling, and memory management Have experience profiling and debugging complex system-level performance issues Are comfortable diving into unfamiliar codebases and technical domains Are results-oriented, with a bias towards practical solutions and measurable impact Care about the societal impacts of AI and are passionate about building safe, reliable systems Strong candidates may also have experience with: GPU virtualization and acceleration technologies Cloud infrastructure at scale (AWS, GCP) Container technologies and their underlying implementation (Docker, containerd, runc, OCI) eBPF programming and kernel tracing tools OS-level security hardening and isolation techniques Developing custom scheduling algorithms for specialized workloads Performance optimization for ML/AI specific workloads Network stack optimization and high-performance networking Experience with TPUs, custom ASICs, or other ML accelerators Representative projects: Optimizing kernel parameters and VM configurations to reduce inference latency for large language models Implementing custom memory management schemes for large-scale distributed training Developing specialized I/O schedulers to prioritize ML workloads Creating lightweight virtualization solutions tailored for AI inference Building monitoring and instrumentation tools to identify system-level bottlenecks Enhancing communication between VMs for distributed training workloads Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is:Annual Salary:$320,000—$485,000 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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About the TeamThe Integrity White Hat team is responsible for proactively uncovering failure modes in OpenAI’s most advanced models, products and runtime systems before they reach the world. This small, high-impact group partners closely with research, safety teams and security to probe vulnerabilities, surface early warning signs of misalignment, and ensure that our models meet the highest standards of safety.About the RoleYou will be a founding member of the team and help shape the strategy and vision for how we ensure fast and safe deployment of more powerful models and product experiences. You’ll define the scope and methodology of adversarial evaluations, drive alignment between model development and safety, and ensure OpenAI remains at the forefront of proactive risk mitigation.We’re looking for someone who thrives at the intersection of research and safety, operate with high integrity and urgency, and are motivated by the mission to ensure AGI benefits all of humanity.In this role, you will:Define the strategic direction and methodology for adversarial testing—including empirical probing, stress-testing, and alignment-focused evaluations.Identify and characterize emergent risks in reasoning, instruction-following, agentic behavior, and other critical capabilities before they result in external incidents.Collaborate with external partners to extend the reach and rigor of the White Hat efforts.Operate with a lean and efficient structure, balancing in-house expertise with vendor support where appropriate.You might thrive in this role if you:Have a proven track record of leading White Hat initiatives for frontier models or complex AI systems.Bring deep familiarity with LLM behavior, post-training evaluation techniques, and AI safety research.Are highly attuned to failure modes in AI systems—e.g., sycophancy, jailbreaking, and harmful outputs—and can surface these before production.Prefer working in close proximity to research teams rather than commercial or sales-focused environments.Have experience building and scaling high-trust, high-performance technical teams.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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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! About the RoleIronclad is accelerating its investment in AI to redefine how legal teams manage and understand contracts. As part of this effort, we are hiring an AI Evaluation Engineer to work within our AI Pillar. This role is focused on unlocking insights from our training data, designing feedback loops, and ensuring the continuous improvement of our agentic and ML or LLM-based systems through data-driven evaluation and iteration.You’ll partner closely with AI Engineers and Product Managers to drive better model quality through systematic analysis, experimentation, and the curation of high-leverage datasets. Your work will directly impact the effectiveness of features like Smart Import, contract understanding, and agentic workflows.What You'll Be DoingAnalyze training and evaluation datasets to identify distributional gaps, labeling inconsistencies, and long-tail opportunities.Design and execute labeling campaigns, including development of golden datasets and annotation guidelines.Build and maintain dashboards that track model accuracy, regression trends, and product-specific KPIs like success rate or answer helpfulness.Investigate failure modes via prompt clustering, error taxonomy development, and user intent classification.Operationalize feedback loops: mine product telemetry and human-in-the-loop reviews for signal, then translate into data-driven model improvement strategies.Partner with engineers and PMs to run structured A/B tests and human evaluations for new models or features.Support the development of scalable data and evaluation infrastructure for LLMs and agents.Work with product, engineering and legal to create clear & transparent processes for the handling of customer data in AI training, fine-tuning and evaluationAbout YouBachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Data Science, Applied Math).1–3 years of experience in applied ML or data science, preferably in NLP or LLM-based applications.Strong SQL and Python skills; experience with Jupyter, Pandas, and experiment tracking tools.Comfortable navigating ambiguity, slicing large datasets, and communicating insights clearly to cross-functional stakeholders.Experience with prompt analysis, clustering, or user behavior modeling is a plus.Bonus: familiarity with LLM eval techniques, Reinforcement Learning from Human Feedback (RLHF), or agentic system design.Experience with program management.Why This Role MattersAI is critical to the value Ironclad customers get from their contracts, allowing their business to manage risk, close revenue faster and operate more effectively. None of this is possible without reliable and accurate data. This role will lead these efforts, becoming a key contributor to the development of AI solutions in an industry that is likely to be transformed by the new generation of models.What We ValueBias for action and data curiosityOwnership mindset and team-first attitudeComfort in fast-paced, iterative environmentsPassion for building AI products that solve real-world customer problemsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the role We're looking for exceptional multimedia engineers and product thinkers who want to make Grok's realtime avatar products the best in the world. What You'll Do Make Grok's realtime avatar products fast, scalable, and reliable. Help push forward audio and gameplay research and deploy breakthrough innovations to millions of users. Obsess over every millisecond and byte, ensuring end-to-end quality and performance at scale across a rich suite of products and user platforms. Who You Are Well-versed in low-latency systems and protocols like WebSocket and WebRTC. Expert in Python, and preferably proficient in Rust. Some iOS experience preferable. In-depth knowledge and experience building high performance media processing pipelines. Obsessed with media quality, performance, and product experience. Tech Stack Python, Rust, WebSocket, WebRTC Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-30 minutes phone interview, during which a member of our team will ask technical questions. If you clear the phone interview, you will proceed to next steps: Deep dive coding challenge Meet and greet with the wider team Our goal is to complete the process within one week. All interviews will be conducted in person when applicable. Location The role is based in Palo Alto. Candidates are expected to be located near the Bay Area or open to relocation. Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Product Management at Cohere: Our team is responsible for driving the direction of Cohere’s technology to the world through our interfaces. We’ve released generative models like Command A, Retrieval models like Embed 4 and Rerank 3.5, and products such as North and Compass. At Cohere, PMs work on the core models, APIs, and end-to-end products that serve our enterprises and developers.We view the role that PMs play at Cohere to be “full-stack” in the sense that you will work with cross-functional stakeholders at every step of the way when training and evaluating the models, delivering product, ensuring successful GTM and customer happiness.  About The Search and Embeddings RoleOne of the most exciting applications for generative AI is in its use in Retrieval Augmented Generation (RAG) and Agents - Search and Embeddings plays a critical role in ensuring that LLMs have the correct context in order to answer the user needs. The focus of this PM will not only be on the role that search plays in RAG/Agents but also in traditional search. The expectation is that you have experience with working on Search products and Embedding / Cross-Encoder models. The Search and Embedding PM manages the following models and products:Embeddings (Embed-v4.0)Rerank (Rerank-v3.5) Compass (Cohere’s Search Solution) Evaluation of Search performance across all products and models In this role, you will: Define strategic priorities and roadmap for improving retrieval model performance, focusing on enterprise needs and emerging capabilities. Use data and customer engagements to better understand user needs and guide future product and model development.Collaborate with a wide range of stakeholders, including teams in product, finance, go-to-market, engineering, and marketing.Drive product strategy and monetization through a deep understanding of the increasingly dynamic and competitive AI Landscape. Read lots of papers and collaborate with ML on ensuring our models remain SOTA In order to be successful in this role, you have:At least 4+ years of product management experience, understanding customer needs, and launching successful products.At least 1+ years of working on search products and embedding/reranking models.Obtained a Bachelor’s or postgrad degree in CS, ML or related field, or a background in machine learning, algorithms, large scale systems, and statistics.Have proven experience working in a technical environment with cross-functional teams to drive product vision, define requirements, and guide the team through key milestones.Showcase strong leadership, organizational, and execution skills, along with proven communication abilities.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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About the Team The team’s mission is to accelerate the secure evolution of agentic AI systems at OpenAI. To achieve this, the team designs, implements, and continuously refines security policies, frameworks, and controls that defend OpenAI’s most critical assets—including the user and customer data embedded within them—against the unique risks introduced by agentic AI.About the Role As a Security Engineer on the Agent Security Team, you will be at the forefront of securing OpenAI’s cutting-edge agentic AI systems. Your role will involve designing and implementing robust security frameworks, policies, and controls to safeguard OpenAI’s critical assets and ensure the safe deployment of agentic systems. You will develop comprehensive threat models, partner tightly with our Agent Infrastructure group to fortify the platforms that power OpenAI’s most advanced agentic systems, and lead efforts to enhance safety monitoring pipelines at scale.We are looking for a versatile engineer who thrives in ambiguity and can make meaningful contributions from day one. You should be prepared to ship solutions quickly while maintaining a high standard of quality and security.We’re looking for people who can drive innovative solutions that will set the industry standard for agent security. You will need to bring your expertise in securing complex systems and designing robust isolation strategies for emerging AI technologies, all while being mindful of usability. You will communicate effectively across various teams and functions, ensuring your solutions are scalable and robust while working collaboratively in an innovative environment. In this fast-paced setting, you will have the opportunity to solve complex security challenges, influence OpenAI’s security strategy, and play a pivotal role in advancing the safe and responsible deployment of agentic AI systems.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.You’ll be responsible for:Architecting security controls for agentic AI – design, implement, and iterate on identity, network, and runtime-level defenses (e.g., sandboxing, policy enforcement) that integrate directly with the Agent Infrastructure stack.Building production-grade security tooling – ship code that hardens safety monitoring pipelines across agent executions at scale.Collaborating cross-functionally – work daily with Agent Infrastructure, product, research, safety, and security teams to balance security, performance, and usability.Influencing strategy & standards – shape the long-term Agent Security roadmap, publish best practices internally and externally, and help define industry standards for securing autonomous AI.We’re looking for someone with:Strong software-engineering skills in Python or at least one systems language (Go, Rust, C/C++), plus a track record of shipping and operating secure, high-reliability services.Deep expertise in modern isolation techniques – experience with container security, kernel-level hardening, and other isolation methods.Hands-on network security experience – implementing identity-based controls, policy enforcement, and secure large-scale telemetry pipelines.Clear, concise communication that bridges engineering, research, and leadership audiences; comfort influencing roadmaps and driving consensus.Bias for action & ownership – you thrive in ambiguity, move quickly without sacrificing rigor, and elevate the security bar company-wide from day one.Cloud security depth on at least one major provider (Azure, AWS, GCP), including identity federation, workload IAM, and infrastructure-as-code best practices.Familiarity with AI/ML security challenges – experience addressing risks associated with advanced AI systems (nice-to-have but valuable).About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Cohere is a fast growing company in the extremely dynamic artificial intelligence space. We are building a Government Affairs and Public Policy (GAPP) team that has the drive, and experience to engage in, and shape a nascent and unique policy environment for enterprise AI.We seek a Government Affairs professional to lead our EMEA (Europe, Middle East & Africa) government affairs strategy. Candidates will have a proven track record, are analytical, collaborative, driven, and possess a passion for the new and evolving public policy debate at the intersection of enterprise technology and artificial intelligence.There’s no better time to join us in building this function as we shape the future of AI.As our Head of, European Government Affairs you will:Report directly to Cohere’s Global Head of Government Affairs & Public Policy, partnering closely with Cohere’s senior leadership, legal, public policy and responsible AI teams to develop, coordinate and implement a government affairs and stakeholder engagement strategy to advocate for responsible AI policies and related issues.Expand Cohere’s profile as the go-to thought-leader and industry partner of choice on issues relating to safe and responsible artificial intelligence policy, regulation and enforcement.Guide and coordinate Cohere’s political engagement in EMEA countries by cultivating relationships, and represent the company with key government officials, lawmakers, regulators, and other third-party stakeholders to influence the development of artificial intelligence legislation, regulations and public policy.Work closely with public sector sales teams and in shaping technology policies in regulated sectors (such as banking, healthcare and others) is helpful.Proactively monitor, report and work with cross functional teams to craft thoughtful responses to governmental initiatives and regulatory issues that may impact Cohere’s business or products.In collaboration with Cohere’s public relations and marketing teams, support effective messaging relating to Cohere’s position on artificial intelligence policy and regulation.Manage government relations consultants and trade associations.Ensure compliance of lobbying and political activities with local laws.You may be a good fit for this career opportunity, if you have:Broad knowledge of technology policy and artificial intelligence, its application, and uses, and experience in understanding, debating, and shaping relevant EMEA policies and regulations.A strong aptitude to navigate intricate and fluid political and policy debates across jurisdictions, prioritize issues and distill key messages for a variety of audiences.Experience in building and leading a government affairs team, advising, and collaborating with cross-functional internal & external stakeholders.A growth mindset, and a self-starter with the ability to work independently, and get things done.15+ years of proven leadership experience working with or in government, public interest groups, trade associations or corporate public policy organizations.An undergraduate degree in political science, business, or law (or equivalent practical experiences).Multilingual experience is a must have. Preference for English, French and German.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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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 role We're looking for experienced infrastructure engineers to build and scale the foundation that powers Claude and enables millions of users to interact with AI. As a Staff Software Engineer on the Product Infrastructure team, you'll architect and build the reliable infrastructure primitives that power our API, Claude.ai, Claude Mobile, Claude Code, and future AI products. This is a unique opportunity to tackle infrastructure challenges at the intersection of cutting-edge AI and massive scale. You'll architect systems that handle billions of API requests, build compute infrastructure that bridges research and production environments, and create storage solutions that work seamlessly across GCP, AWS, and diverse deployment models including first-party and third-party environments. Responsibilities: Design and implement infrastructure solutions that scale to support millions of users interacting with Claude across multiple products Build and scale OLTP database systems through 100x+ growth while maintaining reliability and performance Architect storage solutions that work seamlessly across GCP, AWS, first-party deployments, third-party deployments, and other environments Develop Kubernetes-based compute infrastructure and service mesh solutions for our growing product ecosystem Extend research infrastructure capabilities for production use, enabling rapid deployment of new AI capabilities Partner with product teams to understand requirements and build infrastructure that accelerates feature delivery Collaborate with research infrastructure teams to create synergies and shared solutions Make critical build vs. buy decisions for infrastructure components Set technical direction for product infrastructure You might be a good fit if you: Have 8+ years of experience building and scaling infrastructure systems Possess deep expertise in at least one of: OLTP database scaling, Kubernetes/container orchestration, or distributed networking Have successfully scaled infrastructure through massive growth at high-growth companies Can balance the speed of a startup environment with the reliability needs of production systems Excel at technical leadership and cross-functional collaboration Are passionate about building the infrastructure layer that enables next-gen AI products Strong candidates may also have: Deep expertise scaling PostgreSQL, MySQL, DynamoDB, or similar database systems Experience with Redis, Temporal, RAG databases, or async job processing frameworks Experience building multi-cloud or hybrid cloud infrastructure solutions Expertise in Kubernetes, service mesh technologies, and container orchestration at scale Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure expertise from any domain. The expected salary range for this position is:Annual Salary:$405,000—$485,000 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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Norm AiNorm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation.We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.We are setting the norms for compliance processes at the largest institutions in the world. Our client base includes firms with a combined $17 Trillion in AUM, and growing quickly.Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.We have raised $85 million over the past 18 months from top VCs and global institutions, including Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, and Marc Benioff.This RoleAs a Forward Deployed Engineer on the Deployment Team at Norm Ai, you will be at the intersection of software engineering and client solutions strategy and delivery. Working directly with our enterprise clients and executive team, you will architect and implement AI-driven compliance solutions which integrate seamlessly into our customer’s existing workflows and deliver substantial value and bottom-line savings.Forward Deployed Engineers are at the leading edge of Norm’s Regulatory AI platform model. They embed with our client teams to build client-specific technical solutions, establish productive long-term relationships with customer SMEs and IT professionals, and sell to executives and other decision makers. They write nimble, high-value code and they close deals.Skills & Experience – CoreBachelors or Masters in computer science or an equivalent field, or equivalent practical experience.2+ years experience writing Python or similar for production use.1+ years of experience working with enterprise customers in a technical client-facing role (Sales Engineer, Solutions Engineer, Forward Deployed Engineer, etc.)Experience writing ETL data pipelines and working with key customer SMEs to map ambiguous customer data into a coherent data modelExperience writing APIs, including working with libraries such as FastAPI.Experience working with a Postgres database or similar.Excited to work/iterate with customers.Skills & Experience – PlusesExperience with React/TypeScript and Next.js.Experience with Dagster or Apache Airflow.Experience working in a startup and handling highly ambiguous requirements and situations.You will be expected to:Lead technical implementation and integration efforts with enterprise clients, ensuring our AI compliance solutions are effectively deployed at the source of business activities inside large enterprises.Work closely with client technical teams to understand their infrastructure, security requirements, and compliance needs.Design and implement scalable ETL pipelines to integrate data in internal customer systems into Norm’s platform.Work closely with relevant client SMEs to map their business data into a structured data model that Norm’s core product can reference to implement precisely tailored customer business logic.Develop client-specific customizations to Norm’s platform to help convert and upsell client accounts where investment is deemed worthy by the client team.Lead enablement sessions with client end-users to educate users on how Norm works and evangelize the upsides our platform delivers for people across all levels of the customer’s organization.Develop and maintain technical documentation for client and partner implementations.Collaborate with our legal engineering team to translate regulatory requirements into practical technical solutions.What Success Looks Like – 30 daysBuild and deploy your first ETL pipeline, demonstrating proficiency with our core platform and customer deployment patterns.Develop a deep understanding of our regulatory AI engine and how it integrates into our customers’ compliance process.Lead technical discovery sessions with our enterprise clients.Create your first end-to-end organization ontology data model for a customer Norm implementation.What Success Looks Like – 60 daysOwn multiple client relationships as the primary technical point of contact.Architect and implement custom solutions for complex client use cases.Contribute improvements to our core deployment framework based on client feedback.Identify and document patterns for scaling deployments across similar client systems.Comp & Benefits$190,000-$250,000 a year + employee equity.The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.We embrace a flexible hybrid model, typically in-office 3–4 days per week.If you’re interested in the role but aren’t sure whether you’re a good fit, we’d still like to hear from you.

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AI Deployment Engineer (Pre-sales to postales)About Bland AIWe’re a series B startup, and have raised $65 million from Emergence Capital, Y Combinator, and the founders of PayPal and Twilio. We have a 40 person team, and we serve customers like Better.com, by delivering the most friendly, helpful, and human-like AI phone agents in the world.Why This Role ExistsEvery customer is different – the results they want to drive, expectations of their customer base, and internal systems are totally varied. We need people who are excited to dive into that ambiguity to turn fuzzy goals into concrete plans, ship the first pathways yourself, then broaden adoption across our customer’s org. What You’ll DoPresales partner. Jump on discovery calls, white-board integrations, and explain Bland’s unique features (and ability to drive value) when speaking with product and engineering leaders. You’re working directly with an AE to sell Bland – and to scope an implementation timeline and plan. Own implementation start-to-finish. Design, build, and iterate pathways; wire up APIs; test relentlessly until the agent has “Bland tone” and feels human. Coordinate stakeholders. Engineers, product, operations, and anyone else who’s involved with implementation—you’ll corral them, set timelines and expectations, persistently follow up, and make sure timelines are hit and outcomes are delivered. Move fast and iterate. You build a thorough first agent (based on the scoping you define with the customer) and then you get it into production as fast as possible. You listen back to real calls, fix edge cases, then actively share those results with the customer’s team to build excitement and demonstrate the progress you’re driving. Expand the footprint. By embedding yourself in the customer’s organization, you understand the business priorities, know the value calls are driving, and you identify new opportunities for expansion and then are incredibly persistent to scope those expansions and work with sales to close the upsell. Be the face of Bland. You are the customer’s champion, their best employee, and you treat them with unreasonable hospitality. You travel on-site, get to know our customers on a human level, and develop real relationships with our champions and other stakeholders, going above and beyond to host training sessions and dinners. Must-Have Qualifications3-7 yrs in solutions engineering, product-minded software engineering, founding a startup, or any role that proves you can own a customer-facing build from zero to production. Comfortable reading & writing REST/JSON; able to sling quick Python or JS scripts to glue systems together. Track record of relentless ownership—moments where you ran through walls and surpassed immense challenges (can be both in personal and professional life) Clear communicator who can translate LLM quirks - and the specifics of how Bland works – to everyone on our customer’s team (at the right level of complexity for your audience). Ready for the intensity of a fast-growing, early-stage startup—the work is hard, the pace is high. This is not a big tech job. You’re joining Bland because you want to push yourself, you’re ambitious, and you care about doing great work. Will spend the first month full-time in our beautiful Jackson Square office in San Francisco, then stay mostly in-person or on customer sites. As we build our AI engineering team, we want people to be in-person as much as possible and we have a strong in-office culture. Nice-to-HavesBuilt side-projects or shipped production features with LLMs. Prior life as a founder, solutions architect, PM, CSM, or any other role where you had high ownership over delivering  outcomes and was customer facing. Prior experience owning pre-sales to post-sales to expansions is a huge plus (as long as you’re flexible and excited to learn how to work with LLMs!) Exceptional new grads with strong ownership and ambition are welcome to apply. You’ll Thrive Here If…You’re smart, relentless, and love working with customers You’re organized, keep tight timelines, and deliver clear updates (exceptionally thorough) You like hopping on planes to visit customers on site (not a requirement, but hopefully it’s something you enjoy). You care about the craft and about our customers’ customers – all our phone agents should sound truly human and have “Bland tone” – they should not sound like a corporate robot or like a phone tree.Relentlessness is the most important qualityIf you think you’re missing relevant experience but you’re a fast learner who’s excited for a new challenge – and you have the intangibles our team is looking for – please reach out. As long as you’re resourceful and a fast learner (and you can prove it to our team) we would love to meet you.Compensation & PerksSalary: $120k – $175k base + meaningful equity + benefits. Gorgeous office in Jackson Square, San Francisco (rooftop views & great coffee shops nearby).

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Tl;dr — Join Callidus, the most advanced legal generative‑AI platform, as a hands‑on Full Stack Engineer. Work with state‑of‑the‑art AI, an experienced founder‑led team, and a fresh funding round. Competitive total comp. Hustle culture. San Francisco. About CallidusWe are entering the golden era of AI. Over the next 5-10 years, breakthroughs will drive a completely new world. Callidus is on a mission to transform the $1T global legal market and we’re well on our way.Callidus is the most advanced legal generative AI platform on the market today. We offer a uniquely powerful platform, enabling lawyers (as one example) to draft a full 30‑page legal brief in ~10 minutes—saving about a week of effort. We are an engineering‑led organization that empowers talent to build collaboratively toward our mission.More than 1,000 paying lawyers rely on Callidus today, and ARR is growing >20% MoM, putting us in the top 1% of funded startups at this level. We’re ready to scale and are looking to triple the size of our team.We work hard, ship fast, and win together.  Your RoleWe want highly talented engineers that want to be hands-on. We don’t want a bunch of managers. You’ll be an individual contributor Software Engineer (everyone at Callidus is a doer). Expect to:- Design, build, and maintain customer‑facing features end‑to‑end.- Engineer reliable, scalable Gen‑AI workflows (hybrid RAG, agents, chains of thought, etc.).- Collaborate daily with lawyers and product to ship measurable user value.- Own projects like “ingest millions of PDFs and summarize the legally relevant findings for this case”.- Uphold code quality, security, and performance through reviews and automated tests. Seniority LevelHiring for all levels of seniority from mid-level engineer (Software Engineer II, at least 2 years of experience) to staff/principal (~8+ years of experience).This role will report to the CTO. Tech Stack- Cloud: Azure- Backend: Python (FastAPI), Redis, Postgres- Frontend: React / Next.js, Node- AI: OpenAI, Anthropic, Gemini, Meta, Mistral (choosing best‑in‑class per task) What We’re Looking For:Full-stack engineering in Python + React/Next.Proven record of shipping high‑quality products quickly.Experience working with LLM APIs and prompt engineering.Ability to implement sophisticated LLM techniques (hybrid RAG, hallucination guardrails, agentic workflows, agents, etc.).Startup or LLM‑focused‑company experience.Ability to commute to San Francisco office ~3-5 days per week. Soft Skills:Ownership mindset: you do what you say and surface risks early.Ability to work well with ambiguity and low amounts of process.Excellent problem solving capabilities. Passion & Dedication:Genuine excitement for AI and building category‑defining products.Fantastic work ethic & ability to take on a very demanding role (similar culture to xAI, Amazon, Figure, etc.).Understanding that this will be much more than a 9‑to‑5. The high effort is easy when you love what you do, the company you’re building, and the mission you’re fulfilling.

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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. The Perplexity Research Residency is our flagship program for enabling the best research talent across all disciplines to shape the future of AI. Our program creates pathways for exceptional researchers, engineers, analysts from fields beyond traditional AI research to contribute meaningfully to the future of AI research and its impact on users. Whether you're a theoretical physicist, a cognitive scientist, a biochemist, a quant, a mathematician, a philosopher, or an exceptional research in any other discipline, we’d like to encourage you to apply. Please refer to the program homepage for full details on the Perplexity Research Residency and application process. In particular, refer to the “What We’re Looking For” section for the program criteria that will be used to select candidates. The cash compensation for this role is $220,000 per year, prorated to a six-month term. Location: San Francisco or Palo Alto, California Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan. 

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Ready to be a part of something big? Join our team at SoundHound AI, where AI innovation and real-world impact come together. We unite voice AI, generative AI, and conversational AI to deliver powerful AI solutions that reimagine how people interact with the products and services they rely on. Whether it’s voice-enabling vehicles, streamlining patient journeys, or enhancing customer service, our multilingual, omnichannel AI technology touches the lives of hundreds of millions of people around the world. We’re looking for a Staff Software Engineer to join our Restaurant Applications team. You will own the design and implementation of rich, interactive user interfaces used by both consumers and brand operations / marketing teams. You’ll architect scalable front-end systems—from component libraries and data-driven dashboards to A/B testing frameworks—while partnering closely with UX designers, product managers, and back-end engineers to deliver seamless end-to-end solutions. If you're passionate about building novel, scalable, high-impact and easy to use applications, we’d love to hear from you! In this role, you will: Drive end to end solutions to ambiguous and open-ended technical challenges. Design and architect responsive, high performance web applications. Influence key stakeholders within the organization to generate new products and adopt new processes and practices. Continuously improve our brand onboarding and operational excellence capabilities. Collaborate with product and design teams to build world-class applications. Work on systems that handle millions of voice AI conversations per year. Identify and eliminate sources of toil and inefficiency in systems and processes. Proactively refine UX based on user feedback and usage analytics, driving measurable improvements in adoption, task completion time, and error rates. We would love to hear from you if: Have 12 years of software engineering experience. Have expertise with React, including hooks, context, and modern patterns. Have hands-on experience with state management libraries (Redux, Zustand, Recoil, Reframe) and data-fetching strategies (GraphQL or REST). Have solid understanding of HTML5, CSS3 (Flexbox/Grid) and CSS-in-JS or utility-first frameworks (e.g., Tailwind). Have proficiency in implementing accessibility standards (WCAG) and responsive design. Have strong UI/UX skills with an eye for pixel-perfect implementation. Have familiarity with design tools (Figma, Sketch) and prototyping workflows, bring knowledge of real-time frameworks (WebSocket, GraphQL Subscriptions) and data visualization libraries (D3.js, Recharts).  Have experience working directly with customers to gather feedback and improve applications. Are interested in learning Clojurescript, Reagent and Reframe. We’d be especially excited if you:  Bring experience with ClojureScript, Reagent, and Reframe, have a background in restaurant technology, hospitality, or operations-focused SaaS products, demonstrate strong problem-solving skills and a growth mindset, and communicate effectively while collaborating across distributed teams. This position is available for remote work across most of the United States. SoundHound AI DOES NOT offer employment in Alabama, Alaska, Delaware, Iowa, Maine, Mississippi, New Hampshire, North Dakota, Rhode Island, South Carolina, Vermont, West Virginia, Wisconsin, and Wyoming. Regardless of workplace arrangement, employees within a 60-mile radius of a SoundHound AI office are expected to work from the office on three pre-scheduled, company-wide “core days” per month to encourage cross-team connection and in-person collaboration. The estimated salary for this position is $165,000 - $200,000 plus equity. In addition to salary and equity, you will receive comprehensive healthcare, paid time off, and other benefits. Our recruiting team will provide a specific salary range based on location and years of experience. ______________________ By working at SoundHound AI, you will join hundreds of employees across the globe who strive every day to create exceptional AI-powered experiences for customers, employees, and patients. We are a values-driven company that is supportive of one another, open and honest, undaunted by challenges, nimble and focused, and determined to excel and win. Our mission is to build voice AI for the world and use our global, diverse perspectives to achieve real generational breakthroughs. SoundHound ensures that individuals with disabilities are provided reasonable accommodations to participate in the interview process, perform essential job functions, and receive other employment benefits. Learn more about our philosophy, benefits, and culture at https://www.soundhound.com/careers.  To view our job applicant privacy policy, please visit https://static.soundhound.com/corpus/ta/applicantprivacynotice.html.   #LI-MQ1 #LI-REMOTE

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About UsAt Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.Job Summary:The Staff State Estimation Engineer will coordinate with cross-functional teams and drive the development of advanced mapping, localization, and SLAM (Simultaneous Localization and Mapping) solutions for embedded camera systems. They will derive and implement novel real-time pose estimation algorithms. Research, develop and implement algorithms to solve large-scale mapping. Collaborate with other engineers to develop algorithms for in-situ and in-factory multi-sensor calibration.Responsibilities: Lead high-impact multidisciplinary projects across teams and work independently to define the scope and work requirements.Derive and implement novel, real-time pose estimation algorithms and share the work across a multidisciplinary team.Research, develop, and implement algorithms to solve problems such as large-scale mapping, probabilistic object tracking, online/offline sensor calibration, and/or vision-based localization.Collaborate with deep learning, device, and cloud teams to improve overall system architectures.Manage complex, cross-functional projects from conception to deliveryCreate and maintain comprehensive project roadmaps and technical documentationProgram and develop software in C++ and perform detailed code reviews for other team membersRequired Qualifications:Bachelor of Science degree (M.S. or Ph.D. preferred) or the foreign equivalent in Electrical and Computer Engineering, Robotics, Machine Learning, Computer Science, Electrical Engineering or a related field.10+ years of experience (8+ with M.S degree, 6+ with Ph.D.) in the position offered, as a software engineer, software engineer intern, or a related state estimation engineer role.10+ years of experience (8+ with M.S degree, 6+ with Ph.D.) with all of the following: programming in C++; designing and developing software; classical ML, Linear Algebra.Understanding of stochastic processes, geometric computer vision techniques, and nonlinear/convex optimization algorithms.Understanding of various filtering algorithms (Kalman filters, particle filters, etc.) and nonfiltering techniques (nonlinear least squares, IRLS, etc.)Understand numerical stability, sensor modeling, and system/noise identification concepts.Understand theoretical shortcomings in modern algorithms and problem solve to overcome them.Understanding of camera geometry, bundle adjustment, stereo vision, structure from motion, feature tracking, multi-object tracking, IMU integration, factor graphs, etc.Published research in computer vision and robotics (if M.S. or Ph.D.).Strong leadership and communication skills.Experience in technology transfer and commercialization.Preferred Qualifications:Experience deploying SLAM/VIO estimators in a real-world application.Experience with multiple sensors such as GPS, IMU, camera, and wheel odometry.Experience utilizing/interacting with deep learning approaches to improve results.Experience leading a small team of engineers.

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is seeking a leader of our AIOM (AI Outcomes Manger) team. The AIOMs are responsible for ensuring that our customers’ end-users successfully adopt and derive meaningful, measurable value from Glean’s AI solutions. The AIOMs perform the following types of activities:  End-user training enablement (company and function sessions, search, chat and agent content), prompt and agent advisory/building and value realization. Ultimately, the AIOMs are responsible for breadth and depth of end-user engagement across our product suite.   You will:  Manage the employee lifecycle for a team of AI Outcomes Managers to drive high-impact customer enablement, advisory/building on our platform and business value realization with Glean’s products. Develop a set of Glean prescriptive adoption playbooks including codifying a set of standard process, templates and assets to drive delivery consistency with our customers Engage with executive sponsors and business stakeholders across priority accounts Partner cross-functionally with the other leaders of the customer organization including:  Solution Architects, Delivery Excellence Managers and Support to ensure Glean is providing a seamless customer journey to our customers Synthesize feedback and business insights from the field, influence Glean’s product roadmap, and collaborate with Product and R&D to shape new features and agent capabilities Design, implement, and report on metrics for the AIOM team demonstrating ROI, adoption, and transformation progress for customers Serve as a thought leader and subject matter expert on AI outcomes and user transformation; evangelize best practices internally and externally. About you:  4+ years of experience in customer-facing, consultative roles (e.g., management consulting, customer success, business transformation, product management, solutions consulting) with an AI/data/enterprise SaaS company. Demonstrated ability to lead teams and drive business transformation through technology adoption. Excellent problem-solving skills and ability to communicate effectively with diverse audiences, from executives to end users. Strong data fluency; comfortable with adoption/ROI metrics and business KPIs. Consultative, creative, and motivated mindset—excited about helping organizations rethink business processes and work styles with AI. Proven product sense and ability to maximize the impact of complex software platforms. Experience facilitating workshops and change management programs for business transformation. Understanding of modern AI capabilities (prompting, agent workflows, LLMs), with ability to coach others on best practices.   Location:  This role is hybrid (3 days a week in our San Francisco or Palo Alto office) Compensation & Benefits: Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.  

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About UsAt Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.Job Summary:Derive and implement novel real-time pose estimation algorithms. Research, develop and implement algorithms to solve large-scale mapping. Collaborate with other engineers to develop algorithms for in-situ and in-factory multi-sensor calibration.Responsibilities: Program and develop software in C++ and/or pythonDerive and implement novel, real-time pose estimation algorithmsResearch, develop and implement algorithms to solve problems such as large-scale mapping, probabilistic object tracking, online/offline sensor calibration and/or vision-based localizationCollaborate with deep learning, device, and cloud teams to improve overall system architecturesRequired Qualifications:Bachelor of Science degree (M.S. or Ph.D. preferred) or the foreign equivalent in Electrical and Computer Engineering, Robotics, Machine Learning, Computer Science, Electrical Engineering or a related field.5+ years of experience (3+ with M.S degree, 2+ with Ph.D.) in the position offered, as a software engineer, software engineer intern, or a related state estimation engineer role.5+ years of experience (3+ with M.S degree, 2+ with Ph.D.) with all of the following: programming in C++, designing and developing software, classical ML, linear algebra.Understanding of stochastic processes, geometric computer vision techniques, and nonlinear/convex optimization algorithms.