AI Marketing & Sales Jobs

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< REMOTE - United States >  Job Description: We are seeking a dynamic and experienced Senior Counsel, Product and Privacy to join our legal team. You will serve as a primary legal contact for the product, research, and engineering organizations, and you will play a critical role in ensuring the legal compliance and risk management of our products and services. The role will require the candidate to take a proactive role in product counseling and advancing our privacy compliance program.    You will have the opportunity to provide legal counsel in a dynamic industry with few legal precedents, brand new legal questions and concerns, and quickly evolving business models. Curiosity, the willingness to learn about new technologies, and the ability to translate an engineer’s technical explanations into actionable legal mitigation measures and contractual provisions is a must.  This is a remote role. Although we are a global company, we are currently seeking candidates in the United States.      Responsibilities: Serve as lead product and privacy counsel to multiple product teams Gain an in-depth understanding of Stability’s products and development processes, including their strengths, limitations, and vulnerabilities from a legal, security, and ethical standpoint Provide expert legal advice and guidance to product, design, and engineering teams to ensure Stability’s products and development processes comply with all laws, industry standards, and its own ethical guidelines  Work with product managers, engineering, release management, and security teams to continually develop a set of policies, processes, and documentation governing all data and product releases to ensure thorough legal review Ensure compliance with applicable global privacy and data security laws Work closely with the infosec team to manage incident response and attend to proper data security procedures Track and provide guidance on global laws pertaining to AI products and services, and collaborate with the product team in implementing ethical and safety initiatives for our AI products/services Provide guidance on copyright issues, including as they apply to the development and licensing of datasets used to train our AI models, the output of our generative AI products and services, and the hosting of content (such as the DMCA and Article 17) Ensure compliance with global trade regulations, including US export control laws and the Trade Agreements Act Provide frontline assistance to the commercial team in understanding Stability’s technology, licensing frameworks, and IP strategy on an ongoing basis   Conduct legal research and stay up-to-date with industry trends, regulatory changes, legal precedents, and emerging technologies that may impact Stability AI's products Qualifications: Juris Doctor (JD) degree from an accredited law school and active bar membership in good standing 10+ years of experience as an attorney, with a focus on technology product counseling, privacy, and intellectual property Previous in-house experience as a product counselor at a technology company Deep understanding of data privacy law (e.g., GDPR, CCPA), emerging AI law (e.g., EU AU Act), and consumer protection law Experience building and maintaining data privacy compliance programs Passionate about obtaining a deep understanding of the inner-workings of AI technology Ability to address problems creatively with an open mind  Practical approach to commercially reasonable risk mitigation in the face of both legal and business uncertainty Excellent analytical, communication, and problem-solving skills, with the ability to distill complex legal concepts into clear and actionable guidance for non-legal stakeholders Ability to work independently and collaboratively in a fast-paced, dynamic environment Experience working with cross-functional teams and effectively managing multiple priorities Proactive mindset to identify and address legal risks High level of integrity, professionalism, and attention to detail Flexibility to adapt to evolving priorities  Ability to foster relationships and collaborate with internal clients Sense of humor and inquisitive attitude focused on problem solving and consensus-building Preferred Qualifications: An understanding of data use in the context of generative AI model training and related risks/opportunities Experience with open source software licensing, data licensing, or source-available licensing, as well as open source development and open source communities Privacy and data security certifications (CIPP/US, CIPP/E) Experience developing and revising terms of service and privacy policy updates for global technology companies Deep curiosity of emerging technologies, including AI and data analytics, as well as knowledge of the emerging regulatory developments affecting them Equal Employment Opportunity: We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

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About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role We are seeking a highly skilled Senior Backend Developer with deep expertise in distributed systems and modern backend architecture. The ideal candidate will be responsible for designing and building scalable, high-performance backend services while maintaining clean, maintainable code and collaborating closely with cross-functional teams. This role requires a strong understanding of microservices, messaging systems, data persistence layers, and system performance optimization.   Responsibilities  Architect and develop robust, scalable backend services and APIs using ASP.NET Core  Design efficient, normalized database schemas and optimize data access logic   Implement message-driven communication with high reliability and fault tolerance   Take ownership of backend code quality, documentation, and maintainability   Proactively identify performance bottlenecks and implement scalable solutions   Collaborate with DevOps for containerization and deployment pipeline improvements   Explore and integrate AI-assisted development tools to boost productivity   (Optional) Contribute to low-level integrations through FFI for performance-critical components   About you  [Minimum qualifications] Extensive experience in ASP.NET Core backend development   Advanced proficiency in C# programming and object-oriented principles   Proven experience in distributed systems and microservice architectures   Strong expertise in PostgreSQL, MongoDB, and familiarity with both SQL and NoSQL database design principles   Proficiency in code-first development and hands-on experience with Entity Framework Core or equivalent ORMs   Advanced knowledge of **RabbitMQ** or similar **message broker systems** (e.g., Kafka, NATS)   In-depth understanding of IO-bound operations, threading, parallelism, and asynchronous programming   Practical experience with Docker and container-based deployment workflows   Demonstrated ability to write clean, well-documented code and solve complex problems analytically   Strong abstract thinking and decision-making capabilities   Solid experience in performance tuning and designing scalable backend systems  Familiarity with and ability to leverage AI tools in development workflows   (Optional) Experience working with FFI (Foreign Function Interface) and integrating native code or libraries  [Preferred qualifications] Solution-oriented mindset with a focus on system sustainability and maintainability   Ability to work independently and make high-level architectural decisions   Willingness to explore and integrate emerging technologies into backend systems   Strong collaboration and communication skills with technical and non-technical stakeholders   #LI-AK1

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Hey! We're team Granola 👋  If you haven't already, you should check out what we're building, and why you should work here.We’re looking for an engineer who loves building products in a fast-paced, iterative environment.In this role, you will come up with new ways to unlock value for our users using LLMs and enhance the quality and performance of our application. You’ll be talking directly with users to understand their problems and develop the features they need most. You will be part of the founding team and help unlock Granola for the next 100x users.In this role, you will:Own the development of new user-facing features end-to-end. Things like: agentic workflows, real time collaboration and lots of 0 to 1 prototypingOptimise the application for speed, scale, and reliabilityInteract with users to understand their problems and design solutionsCollaborate with a cross-functional team of engineers, product managers, designers, and other members of the team to create a cutting-edge productYour background looks something like:Engineering experience at tech and product-driven companiesProficiency with TypeScript, Node.js, and React.js (Framer Motion, Tailwind and Radix is a strong plus)Proficiency with relational databases like PostgresExperience with cloud infrastructure (we use AWS and Terraform)As a person, you…Are first and foremost a builderAre excited to work in-person from our office in London (most of the time)Love working in a startup environment (you either have experience working in a startup or are really drawn to the zero-to-one phase)Value working with people who are kind, ambitious, and pragmaticHave an interest in AI/ML (direct experience not required)Thrive in a fast-paced environment with evolving requirements and prioritiesAbout the opportunityWe are living in the most exciting time for tool builders since Engelbart's demo in 1968. We want to assemble the best crew to build this future together, here in London. Our compensation philosophy is to pay slightly above market on salary and above market on equity.We do our best work in person, and so our team spends time together five days per week in our new, bright, and spacious office at Old Street. We are happy to offer relocation assistance to candidates who'll be moving to London to join us.Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.

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About the role Descript’s vision is to put video in every communicator’s toolkit. Back in the day you needed like six monitors and a bachelor’s degree to edit video. Descript lets you do it by editing docs & slides, and increasingly by just asking AI. In the future, maybe you won’t even need to ask! But building a new way to record and edit videos that look & sound good comes with a series of unique design, technology, and business challenges. In other words, we need really good product managers. As a Product Manager on the Editor team, you’ll be shaping the future of what creative collaboration looks like with AI, from recording to final polish. You’ll work alongside a small, flat, highly collaborative team of experienced PMs, engineers, designers, AI researchers, and marketers. This is an opportunity to get hands-on experience with cutting-edge AI technology in a product users love and grow fast in your PM craft. What you’ll do Develop a deep understanding of our customers, their creative goals, and the evolving video/AI landscape — and use those insights to guide the roadmap. Own and shape the recording experience so that anyone can look and sound great without special gear or expertise. Bring Descript’s taste for great video into the recording and editing experience, shaping interactions and defaults so creators naturally produce work that feels polished and professional. Partner with AI research, engineering, design, and other teams to translate cutting-edge technology into reliable, delightful experiences. Own and drive the feature roadmap for your team from idea generation through to execution and analysis. You’ll bring clarity and focus to your team, and help them deliver value to users reliably and effectively. Who you are You have seen (and shipped) some things: You have 3 or more years of product management experience, ideally with a product of technical complexity that incorporates generative AI models. You start with the customer: Plenty of “AI products” start with the technology and they all suck. You care deeply about understanding customers, and have experience in doing customer discovery and defining features that solve real problems. You are a fog sculptor: There are aspects to our product and its design that do not have real competitors yet. The product intuition and design conventions have not been decided. We need product managers who are attracted to ambiguous problems, know how to ask smart questions, and translate ideas into action. You care about craft: Our product is not a hype machine that runs on empty promises and vaporware. We think our product will be successful because people love to use it. That means sweating the details. But without the sweat, because you aren’t stressed out. You are funny, creative, maybe kind of weird: Ok, this isn’t a hard requirement but Descript is kind of a quirky place and the people who love it tend to like that about working here. So, just want to drop a hint early on. Also, the sense of humor is important because even though we take our work seriously it’s still just, like, video creation and editing. We aren’t flying rockets into space so let’s all have a good time. The base salary range for this role is $175,000 - $265,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, and location, and may vary from the amount above.About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 — with a proven CEO and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital).  Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're looking to hire people who are local and able to join us at the office when needed. We're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. But we do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.  Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive. 

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The Anyscale Technical Program Management (TPM) team is expected to play a critical role executing high impact programs while continuously improving processes to sustainably grow and increase the effectiveness of the Tech organization spanning Design, Engineering and Product teams.As a Technical Program Manager focused on Anyscale’s core product solution, you’ll help lead complex application development in service of enhancing our product platform. In this role, you'll support and help scale the technical solutions that make Anyscale’s products and services possible. As part of the overall development life cycle you’ll plan requirements, identify risks, manage schedules, and communicate clearly with project stakeholders on complex projects with significant bottom line impact.Your Project management contributions will span prioritization, planning of projects and features, stakeholder management, tracking of external commitments while contributing to the organization's technical culture by highlighting and espousing best practices. You’ll learn and grow alongside talented teammates who share your commitment to excellence and appetite for innovative problem-solving. This is a rare opportunity to join in the leadership of a team that will be responsible for building a successful commercial ML/AI oriented solution from the ground up!As part of this role, you will:Help us build and ship our Commercial / OSS productWill work closely with the software development and product teams to deliver high quality, scalable products used by customers around the worldCollaborate with the product teams and align all the stakeholders to assemble project teams, assign responsibilities, identify appropriate resources needed, and develop schedules to ensure timely completion of projects by meeting project milestonesAssess risks, anticipate bottlenecks, provide escalation management, make tradeoffs, balance the business needs versus technical constraints and encourage risk taking behavior to maximize business benefitWork on a diverse technology stack spanning multiple leading commercial cloud providers, big-data solutions and ML algorithmsWe'd love to hear from you if you have:Bachelor’s degree in Computer Science or equivalent technical work experience5+ years of technical work experience 3+ years of experience with Machine Learning projects & platforms3+ years of experience with leading commercial cloud provider platformsSoftware development experience (ability to build and assess systems/platforms)Strong communication skills and can effectively share your work with a broader audience through writing and speakingAbility to handle multiple competing priorities in a fast-paced environmentA deep understanding of software development in a team, and a track record of shipping software on timeAn obsession with contributing to the development of high-performance engineering organizations, are detail driven with excellent problem solving abilities

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About the Role As a Lead Technical Program Manager at Thoughtful AI, you’ll play a key role in shaping the delivery of our most complex and high-value AI Agent deployments across the healthcare ecosystem. This is a hands-on leadership role where you’ll manage a team of 5–7 Technical Program Managers, guide their work, and ensure their outputs meet the highest standards of quality and impact. Reporting to the Director of Technical Program Management, you will balance three core responsibilities: People management – building and developing a high-performing team of TPMs. Project mentorship – reviewing TPM deliverables, providing feedback, and coaching team members before their work is implemented. Strategic initiatives – contributing to cross-functional efforts that improve how Thoughtful delivers at scale. On customer projects, you’ll partner closely with TPMs during the discovery phase—leading process overviews that set the stage for successful implementations. Your TPMs will then own the design, build, and deployment of AI Agents, with your ongoing guidance and mentorship ensuring excellence throughout. This is an ideal role for a proven program management leader who thrives on developing talent, improving delivery practices, and helping enterprise customers achieve transformative outcomes. Learn more about our Warrior culture. Your Mission Manage and mentor a team of 5–7 Technical Program Managers, fostering growth, accountability, and delivery excellence. Own customer-facing deliveries directly, serving as the assigned TPM on select accounts while modeling delivery best practices. Review TPM deliverables (product requirements documents, delivery roadmaps, etc.) and provide actionable feedback to raise quality before customer-facing execution. Partner with TPMs during discovery phases to lead process overviews and ensure accurate foundations for solution design. Contribute to strategic initiatives that improve delivery frameworks, governance, and cross-functional collaboration. Act as a trusted partner to Sales, Customer Success, Product, and Engineering to ensure delivery capabilities align with customer expectations. Champion best practices, risk management approaches, and scalable frameworks that enable consistent, enterprise-grade deployments. Represent program delivery in leadership conversations and customer forums, bringing forward insights and solutions. What Success Looks Like A cohesive TPM team with strong ownership, confidence, and consistent delivery quality. Scalable, repeatable practices adopted across projects, driving enterprise-grade deployments. TPMs consistently producing high-quality outputs that accelerate delivery and reduce risk. Cross-functional leaders relying on TPMs (and you as their lead) as trusted partners in execution. Enterprise customers achieving transformative outcomes with confidence in Thoughtful’s delivery approach. What You Bring 8-12+ years of experience in program or technical project management, including leadership responsibility for developing and managing teams. Proven success in enterprise technology implementations, ideally within SaaS, consulting, automation, or healthcare technology. Strong background in healthcare delivery; experience in Revenue Cycle Management is a plus Experience mentoring or reviewing project/program management outputs to ensure quality before execution. Strategic perspective combined with executional discipline - you can coach the details while influencing the bigger picture. Ability to influence senior stakeholders and customers through clear, data-driven communication. Comfort navigating fast-paced, ambiguous environments and building structure where it doesn’t yet exist. Bachelor’s degree in a technical, operational, or business discipline (MBA or equivalent experience a plus).   Thoughtful AI Benefits Market-leading base salary and bonus Employee stock Medical, dental, and vision insurance for you and your dependents We expect you to unwind and disconnect for three weeks per year while still getting paid California Salary Range $200,000—$250,000 USD

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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. Perplexity is looking for an Applied ML Engineer to design, build, and iterate on cutting-edge AI models powering our core experience. As an expert in machine learning and artificial intelligence, you will develop scalable and impactful solutions for user personalization, query understanding, and content discovery - fulfilling the curiosity of millions of users across the globe. Key Responsibilities Apply state-of-the-art ML and LLM techniques to solve problems spanning: Personalization (LLM memory, context summarization, retrieval and ranking); Query Understanding (intent modeling, rewriting, agentic decomposition); Content Discovery (feed ranking and surfacing) Rigorously evaluate LLM/ML models with both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact. Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement. Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements. Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle. Preferred Qualifications 5+ years experience building and shipping robust ML/AI models for large-scale, user-facing or data-driven products. Deep expertise in deep learning (PyTorch, TensorFlow, JAX), LLMs, information retrieval, content summarization, recommendation systems, NLP, and/or ranking. Strong software engineering skills (Python, production-quality codebases, collaborative development). In-depth experience with the full ML lifecycle: data analysis, feature engineering, iterative model development, rigorous evaluation, and ongoing monitoring/improvement. Proven collaborator and communicator; excels in high-velocity, cross-functional teams. Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI. BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience). Bonus Points For Experience with LLM prompt engineering, Retrieval-augmented generation (RAG) based systems. Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc). Open-source or published contributions in ML, NLP, IR, or relevant research fields.  

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About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.  Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. Who We're Looking For As a Senior Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used. You’ve shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools and make pragmatic product decisions that set Delivery up for success. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products. With at least 3 years industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.   This Role  As a Senior MLE, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes. You'll: Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time‑series forecasting, anomaly detection, optimization & control) to customer production environments. Communicate results and trade‑offs to senior stakeholders; steer roadmaps and influence product direction with evidence. Lead scoping and architecture design for data/ML systems; define success metrics, delivery plans and quality bars. Excel at building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others. Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision‑making under pressure. Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site. Own the scoping of new projects and work-streams with existing customers and taking part in bringing new customers to PhysicsX. As a senior member of the team, you’ll significantly influence our technical direction and will be involved in shaping future solutions and products, while developing your skills as a technical leader. Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey!      What we offer Equity options – share in our success and growth. 5% 401(k) match – invest in your future. Flexible working – balance your work and life in a way that works for you. Hybrid setup – enjoy our Manhattan office while keeping remote flexibility. Enhanced parental leave – support for life’s biggest milestones. Private healthcare – comprehensive coverage for you and your family. Personal development – access learning and training to help you grow. Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.   Salary range: $120,000 - 240,000 depending on experience  Seniority will be assessed throughout our interview process   We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.    We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.   

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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 are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role Join the innovative team at xAI, where we're redefining AI-driven media experiences for Grok users worldwide. As a Backend Engineer, you'll build and scale robust systems that power immersive, multi-modal media interactions, leveraging cutting-edge AI technologies. Your work will drive seamless, engaging user experiences, harnessing the potential of advanced models to captivate and delight millions. If you're passionate about tackling complex challenges and creating innovative backend solutions for AI-powered media, this is your chance to shape the future. What You’ll Do Design and implement scalable backend systems to support Grok's AI-driven media experiences, ensuring high performance and reliability. Collaborate with cross-functional teams, including frontend engineers and AI researchers, to deliver captivating, media-rich features. Build and optimize large-scale data pipelines to process and analyze multi-modal data, fueling continuous improvement of Grok's media capabilities. Architect robust infrastructure to handle real-time media interactions, enabling seamless user experiences at a global scale. Own end-to-end development of backend solutions, from system design to deployment and monitoring, delivering production-ready code with precision. Who You Are A driven problem-solver who thrives on turning innovative ideas into scalable, high-impact solutions. Proficient in Python or Rust, with a knack for writing clean, efficient, and maintainable code. Experienced in building backend systems for consumer-facing products, with a focus on performance, scalability, and reliability. Skilled in designing and managing large-scale data infrastructure to support AI-driven applications, particularly in media or multi-modal contexts. Passionate about AI and media technologies, with a commitment to creating user-focused products that inspire and engage. Proven ability to deliver production-ready solutions to millions of users, ensuring robustness and seamless performance. Tech Stack Python Rust 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 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 a language of your choice. Systems hands-on: Demonstrate practical skills in a live problem-solving session. Project deep-dive: Present your past exceptional work to a small audience. Meet and greet with the wider team. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USD 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.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Location: San Francisco, Bay Area Team: Customer Success | Reports to Head of Customer OperationsAbout TomaAt Toma, we’re building something unorthodox — a fully AI-driven voice platform reshaping how 18,000 car dealerships operate. Our proprietary voice AI handles inbound calls, sets appointments, and unlocks agentic workflows that reduce frontline workload.We’re a 20-person team (ex-Scale AI, Uber, pro Valorant player, robotics champ, motocross racer...) obsessed with getting dealers real results. We’ve landed dozens of rooftops via word-of-mouth, and we’re just getting started.The RoleWe’re looking for a Prompt Engineer & Support Specialist to help us scale fast — without breaking.You’ll be the first technical hire on the support side, working directly with our customers, Ops, Engineering, and Product to solve issues. When you're not solving issues, you'll be laying the foundation for a scalable support motion and building internal health monitoring systems. While this role is a ticket-based support function which includes heavy prompt engineering... We aim for this person to grow into a part forward deploy, part triage lead, part system builder. You’ll get deep in the weeds, own high-impact technical problems, and play a foundational role in how support functions at Toma as we scale.What You’ll Do Right Now Technical Debugging & TriageManage a support queue & build systems to improve support metrics. Extensive prompt engineering to solve real world business problemsInvestigate LLM-related issues, agent behavior, voice system bugs, and integration failuresReproduce edge cases and partner with Engineering to drive root-cause fixesTriage and document inbound issues for the product and AI teamsWhat You'll Grow Into Build Support ProcessesBe the connective tissue between Engineering, Ops, and ProductOwn and improve the way support is delivered and scaled: ticket systems, SOPs, playbooksBuild an internal knowledge base for common issues and config workflows Build Health Monitoring & ToolingDesign and implement health monitoring for AI behavior, call routing, scheduler integrations, and moreCreate dashboards, logs, and alerting systems to reduce support lagWrite light internal scripts and tools to automate repetitive ops or support tasksYou Might Be a Fit If You...Have 2–5 years in a technical support, infra, dev ops, or forward deploy role, ideally at a startup with extensive customer facing experience. Love solving messy technical problems in live customer environmentsCan read logs, reproduce bugs, and work directly with engineers on triageHave experience with AI systems (LLMs, agents, vector databases) or are excited to learn fastCan write basic scripts (Python, JS, Bash, SQL, etc.) to unblock yourself or automate tasksThrive in ambiguity and want to build support systems from scratch — not inherit themNice to HaveExperience with tools like Eleven Labs, Metabase, DataDog, or voice AI platformsBackground in automotive, SaaS, or customer-facing AI productsStartup experience where you’ve been “the one who gets called when it breaks”Why This Role MattersWe’re growing fast, and every new customer means more complexity. The systems you build — and the fires you put out — will directly shape our ability to scale, retain, and grow revenue across hundreds of rooftops. You won’t just answer tickets. You’ll own the support systems that reduce customer effort & pain.What Success Looks LikeYou become the go-to point of contact for incoming support tickets You reduce our average support resolution time through better tools, monitoring, and triageYou help launch a proactive support function — not just reactive firefightingYou elevate how Toma learns from customer pain, product bugs, and systemic issuesCompensation & PerksCompetitive salary and early-stage equityHealth, dental, visionDaily food stipend Health & wellness stipend Educational stipendHigh-impact seat on a low-ego, high-output team

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 500+ customers in 50+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewAs a Customer Success Manager you’ll play a critical role in guiding our clients through their journey with Harvey, and help define the future of work at both law firms and in-house teams. This position is pivotal in ensuring our clients not only adopt but also derive maximum value from our technology. You'll act as a trusted advisor, deeply integrating Harvey into their business processes and workflows. This individual will also have a chance to design and deploy scalable 1:many solutions that will impact how we serve our broad mid-market customer base in a highly efficient manner at scale.What You'll DoStrategic Implementation: Lead the integration of Harvey into client workflows, ensuring seamless adoption and optimal use of our AI solutions.Training & Enablement: Evangelize the power of LLMs as you meet with and enable end users to adopt Harvey on a daily-basis as it becomes a “must have” product.Client Relationship Management: Serve as the primary contact for 40+ mid-market clients with a prescriptive and consultative approach and delivering a superior customer experience.Process Creation: Drive scalability in the way we operate through documentation, designing playbooks, self-help materials, email cadences, and automation to ensure we drive efficiency in our long term mid-market strategy.Success Metrics Management: Utilize adoption rates, benchmarks, and other key metrics to drive strategies ensuring client satisfaction and high ROI.Advocacy and Engagement: Encourage user and stakeholder engagement, transforming them into Harvey advocates within their organizations.Customer Health Monitoring: Use analytics and feedback to maintain customer satisfaction, ensuring readiness for renewal and expansion opportunities.Feedback Loop: Relay client insights back to our internal teams, aiding in the continuous improvement of our product and services.What You HaveExperienced professionals from legal firms or SaaS organizations, with direct experience managing a high volume of client cases and/or customers.Individuals with excellent communication and strategic planning skills, capable of influencing stakeholders at various levels.Results driven candidates who are able to ruthlessly prioritize competing tasks and demanding customers seamlessly.Team players described as empathetic, committed, structured, motivated, and collaborative with a team-first mentality.Experience with Salesforce and Catalyst, are preferred, but not required.What We OfferA chance to be at the forefront of AI technology and innovation, directly impacting how our clients' businesses operate and thrive.An opportunity to contribute to the growth and direction of our Customer Success program, building out best-in-class playbooks and processes.A collaborative work environment that promotes growth, learning, and development.Compensation Range$125,000 - $145,000 OTE Please find our CA applicant privacy notice here.#LI-AB1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? This AI Business Consultant position within the NICE – AI Center of Excellence Organization offers an exciting opportunity to focus on delivery excellence and drive accelerated ROI from our portfolio of AI solutions. The ideal candidate will bring a strong mix of solution consulting and operations experience, positioning them to lead customers through digital transformations. As a seasoned consultant in a technology company like NICE, you must possess a unique blend of business acumen, subject matter expertise, and technical savvy to deliver significant business impact via our software solutions. In other words, someone who can gain credibility via both their words and hands-on-keys actions. This role involves working with multiple broad groups within NICE and requires proven ability to influence cross-functional teams, both with and without formal authority, within a matrixed organization. How will you make an impact?    Lead consulting projects to drive process improvement and ensure business readiness for optimal adoption and utilization of NICE self-service and AI solutions. Consult with clients to understand their current business and technical processes, self-service needs, and AI implementation requirements. Provide best practice recommendations to design and implement self-service and AI software solutions, ensuring customers fully optimize their business processes and maximize potential. Collaborate with product development teams to provide feedback and suggest improvements based on client experience. Own and manage senior stakeholder relationships, ensuring active participation and sponsorship throughout the engagement. Build long-term relationships with customers, becoming a trusted advisor, driving adoption and consumption growth. Organize and guide application and data consultants through program leadership, acting as the adoption and consulting engagement quarterback. Manage consulting and adoption programs with continuous alignment with the entire product implementation program. Establish and monitor progress toward business success criteria for the overall delivery program and in turn, each product/business unit. Map business cases into action items and solution designs. Align launch strategies with use cases and value priorities. Secure buy-in from different stakeholders (internal and external). Provide input into technical project plans, ensuring business requirements and best practices are fully captured. Develop and deliver presentations to demonstrate the value and capabilities of our software solutions. Analyze client data to identify opportunities for process improvement, increased software adoption, and AI-driven insights. Have you got what it takes? Minimum of 5 years of consulting or customer successes experience in self-service or AI software domains. Degree in Business, Information Technology, or a related field preferred. Experience with contact center enterprise software, with deep domain experience in digital/unassisted self-service channels (e.g., Google Dialog Flow). Knowledge management expertise. Experience with generative AI in the customer service domain is a plus. IVR/Routing/ACD experience preferred. You will have an advantage if you also have: Experience in business process improvement and customer success. Proven ability to independently handle senior executive audiences and stakeholders, provide thought leadership, and gain strategic partnerships. Led project teams and demonstrated operational performance improvements with significant benefits. Multi-industry experience preferred. Excellent verbal, written communication, and presentation skills are a must. About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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About the TeamThe Support Automation team at OpenAI scales the organization by applying cutting-edge AI models to real-world challenges, automating and enhancing work across the organization. From customer operations to engineering, we develop an ecosystem of automation products that empower our colleagues and drive impact. We're passionate about crafting products that serve those around us, blending rapid prototyping with a focus on long-term quality and reliability. By creating reusable solutions, we create patterns that can be applied across diverse domains within OpenAI.TLDR: this team leverages OpenAI technology to improve OpenAI, and you’ll have the opportunity to leverage the full extent of our tech (both public and pre-released) to accomplish this mission. About the RoleWe’re looking for a Backend Software Engineer with experience working in ML/LLM-heavy domains to help to design and build an evals infrastructure that measures the quality of OpenAI’s support automation. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale. In this role, you will:Design eval pipelines that are reliable, reproducible, and extendableBuild the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automationDesign, build, and maintain backend services and APIs to support intelligent automation and knowledge systemsIntegrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.Collaborate closely with data, research, and engineering teams to integrate OpenAI models into high-leverage workflowsOwn the full development lifecycle of new backend systems and internal platform capabilitiesBuild with scale and maintainability in mind, while rapidly iterating on new ideas You might be a great fit if you have:4+ years of backend engineering experience at product-driven companies (excluding internships)Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and PostgresExperience designing and scaling distributed systems, APIs, or data processing pipelinesHave experience building AI agents or applications, including designing evals and improving performance through prompting or scaffoldingAre familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context.Experience creating production evals and/or measuring performance of ML/LLM models at scaleA pragmatic mindset. You’re comfortable shipping iteratively while building toward a long-term visionAbout 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.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.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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Factory is on the hunt for Enterprise Account Executives with deep knowledge of developer tools and AI to drive adoption across sophisticated enterprise organizations.What you will do and achieve:Lead enterprise sales cycles end-to-end. Build pipeline, manage evaluations, negotiate commercial terms, and close multi-stakeholder deals at Fortune 1000 companies and high-growth enterprises.Serve as the expert in conversations with CIOs, CTOs, engineering leaders, and procurement teams, demonstrating deep understanding of Factory’s platform and its enterprise value proposition.Work directly with the CEO, VP of Sales, and closely with the product and engineering teams to customize solutions that meet the specific needs of each client, ensuring a seamless integration of Factory's Droids into their existing workflows.Educate and guide clients through the technical and practical aspects of implementing AI-driven development tools, addressing any concerns and showcasing the potential ROI.Collaborate with marketing to refine sales strategies and materials based on market feedback, contributing to the overall growth and success of Factory.Establish Factory as a trusted partner for enterprise customers, ensuring expansion and renewal opportunities by aligning to their long-term innovation roadmaps.Qualifications:7+ years of sales experience, including 4+ years selling into enterprise accounts with complex decision-making processes.Proven track record of achieving and exceeding sales targets in a technology-driven sales environment, with the ability to manage complex sales cycles from start to finish.Exceptional technical aptitude, capable of quickly learning new technologies and articulating complex solutions in a straightforward manner.Strong interpersonal and communication skills, with the ability to engage effectively with technical decision-makers and C-level executives.Self-motivated and able to thrive in a dynamic, fast-paced startup environment. A genuine enthusiasm for AI and software development is a plus.Prior experience as a sales engineer or in a role requiring deep product demonstrations and technical discussions is highly desirable.The team goes into the office 5 days a week in San Francisco or New York City.

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About the TeamThe Workload team is responsible for designing and running OpenAI’s LLM training and inference infrastructure that powers frontier models at massive scale. Our systems unify how researchers train and serve models, abstracting away the complexity of performance, parallelism, and execution across vast GPU/accelerator fleets. By providing this foundation, the Workload team ensures that researchers can focus on advancing model capabilities while we handle the scale, efficiency, and reliability required to bring those models to life.About the RoleWe are looking for an engineer to design and implement the dataset infrastructure that powers OpenAI’s next-generation training stack. You will be responsible for building standardized dataset interfaces, scaling pipelines across thousands of GPUs, and proactively testing performance bottlenecks. In this role, you will collaborate closely with the multimodal researchers, and other infra groups to ensure datasets are unified, efficient, and easy to consume.In this role, you will:Design and maintain standardized dataset APIs, including for multimodal (MM) data that cannot fit in memory.Build proactive testing and scale validation pipelines for dataset loading at GPU scale.Collaborate with teammates to integrate datasets seamlessly into training and inference pipelines, ensuring smooth adoption and a great user experience.Document and maintain dataset interfaces so they are discoverable, consistent, and easy for other teams to adopt.Establish safeguards and validation systems to ensure datasets remain reproducible and unchanged once standardized.Debug and resolve performance bottlenecks in distributed dataset loading (e.g., straggler systems slowing global training).Provide visualization and inspection tools to surface errors, bugs, or bottlenecks in datasets.You might thrive in this role if you:Have strong engineering fundamentals with experience in distributed systems, data pipelines, or infrastructure.Have experience building APIs, modular code, and scalable abstractions, while recognizing that abstractions ultimately serve the users and UX is an important part of the abstractions design.Are comfortable debugging bottlenecks across large fleets of machines.Take pride in building infrastructure that “just works,” and find joy in being the guardian of reliability and scale.Are collaborative, humble, and excited to own a foundational (if not glamorous) part of the ML stack. Bonus points if you:Have background knowledge in data math, probability, or distributed data theory.Have worked with GPU-scale distributed systems or dataset scaling for real-time dataAbout 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.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.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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Why Delphi? At Delphi, we are redefining how knowledge is shared by creating a new medium for human communication: interactive digital minds that people can talk to, learn from, and be guided by.The internet gave us static profiles and endless feeds. Delphi is something different: a living, interactive layer of identity. It carries your voice, perspective, and judgment into every conversation—so people don’t just read about you, they experience how you think.Our mission is bold:Make human wisdom abundant, personalized, and discoverable.Preserve legacies, unlock opportunities, and scale brilliance across generations.Delphi becomes everyone's living profile to show what you know.We are trusted and loved by thousands of the world’s most brilliant minds from Simon Sinek to Arnold Schwarzenegger (interact with all of them here). We have tripled revenue, users, and Delphi interactions in the past 6 months - all organically through word of mouth. We plan to accelerate even further from here.Delphi’s investors include Sequoia Capital, Founders Fund, Abstract Ventures, Michael Ovitz, Gokul Rajaram, Olivia Wilde, and dozens of founders from Lyft, Zoom, Doordash, and many more. Our team includes founders with successful exits and builders from Apple, Spotify, Substack and more.Learn more about Delphi and this position by calling the CEO’s digital mind here!The RoleAs VP of Engineering, you will own and scale Delphi’s engineering organization as we move into our next phase of exponential growth. You’ll set the technical vision, build high-performance teams, and partner closely with product, design, and leadership to to support the next phase of Delphi.This is a role for someone who wants to help shape the future of human connection, scale wisdom for billions, and build something that will outlast us all.What You’ll DoDefine and execute on the technical vision and architecture for systems serving millions of digital minds.Build and lead the engineering organization to a standard of excellence - establish technical precision practices and foster ownership-driven culture where engineers proactively solve problems.Drive engineering execution - consistently ship high-quality systems quickly, balancing speed and durability.Partner cross-functionally with product, design, and leadership to align strategy and deliver ambitious roadmaps.Raise the bar: mentor leaders, establish a world class engineering culture, and ensure Delphi remains a magnet for top talent.What You Bring7+ years of engineering experience, with 2+ years leading teams of 10+ engineers in a hyper-growth, high-expectation environment.A proven track record of building teams and shipping large-scale, high-impact systems.Executive communication skills: can translate between technical and non-technical audiences.First-principles thinker, comfortable navigating ambiguity and inventing new playbooks.Ability to build an ownership-driven engineering culture where teams consistently exceed expectations, beat deadlines, and take complete responsibility for their domains.Why You'll Love It Here We work on hard problems. Our team is full of former founders, and entrepreneurial individuals who are taking on immense initiatives.There is extreme upside. Very competitive salary and equity in a company on a breakout trajectory.We push each other. Work from our beautiful Jackson Square office in San Francisco, surrounded by peers pushing to do their best work.BenefitsUnlimited Learning Stipend: Whether it’s books, courses, or conferences, we want to support your growth and development. The more you learn and improve your craft the more effective we will be together.Health, Dental, Vision: Comprehensive coverage to keep to take care of your health.401k covered by Human Interest.Relocation support to SF (as needed)If you’re looking for just a job, Delphi isn’t the right fit. But if you want to shape the future of human connection, scale wisdom for billions, and build something that will outlast us all - you’ll feel at home here.

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Why Mintlify?We're on a mission to empower builders. Massive reach: Our docs platform serves 100 million+ developers every year and powers documentation for 10,000+ companies, including Anthropic, Cursor, PayPal, Coinbase, X, and over 20% of the last YC batch.Small team, huge impact: We’re only 28 people today, backed by $22 million in funding, each new hire shapes the company’s trajectory.Culture of slope over y-intercept: We value learning velocity, grit, and unapologetically unique personalities.We grew in value faster than headcount and we’re looking to align the two quickly.About the RoleThis is a strategic, pre-sales role designed to accelerate our enterprise growth by guiding prospects through technical discovery, evaluation, and proof-of-concepts. You’ll work hand-in-hand with sales to demonstrate Mintlify’s value, remove technical blockers, and help close our largest customers.This role works cross-functionally with sales, product, and our CEO to ensure prospects see a clear technical and business case for adopting Mintlify. ResponsibilitiesLead technical discovery sessions with prospects to deeply understand their documentation workflows and pain pointsDesign and deliver demos and proof-of-concepts that highlight Mintlify’s value and differentiationPartner with sales to shape deal strategy, address technical objections, and accelerate the sales cycleServe as the technical voice during evaluations, ensuring stakeholders (both technical and non-technical) are alignedGather and communicate prospect feedback to inform product roadmap and go-to-market prioritiesTrack and optimize pre-sales processes to shorten evaluation cycles and increase conversion ratesRequirementsExperience in pre-sales or customer-facing technical roles with a record of winning enterprise dealsStrong proficiency in web technologies (HTML, CSS, JavaScript) to prototype and tailor demosComfortable with prompt engineering to script, analyze, and showcase customer-specific use casesAbility to translate technical depth into business impact for diverse stakeholdersExcellent presentation, communication, and project management skills — able to run multiple complex evaluations simultaneouslyStrong eye for design and storytelling to make technical demos compelling and memorableBonus: Experience with RFPs, enterprise procurement cycles, or complex sales motionsCompany Benefits:Competitive compensation and equity | Free Waymos20 days paid time off every year | Health, dental, vision401k or RRSP | Free lunch and dinners$420/mo. wellness stipend | Annual team offsite

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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 are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role The Cybersecurity / SRE team is focused on ensuring the security and reliability of X Money. This role will primarily focus on the X Money platform but will also cross over with the X Social platform. The ideal candidate will have experience in the banking, money transmission, and P2P payments industry. We emphasize working with large distributed systems and security platforms at scale, with an automation-first mindset. You’ll be responsible for securing and maintaining the reliability of X Money’s infrastructure. You’ll work closely with cross-functional teams to enhance security measures, improve system resilience, and implement best practices. Your role will include: Responsibilities Building and securing mission-critical applications within AWS. Ensuring proper identity and role management within AWS. Implementing and maintaining KMS for data management in RDS and DynamoDB. Strengthening Kubernetes and container security. Writing and maintaining infrastructure code using Python and Terraform. Integrating and maintaining code scanning platforms. Taking ownership of cybersecurity projects, identifying problems, and implementing solutions. Conducting critical analysis and applying strong problem-solving skills. Minimum qualifications: Proficiency in Python and Terraform. Hands-on experience with code scanning platforms. A proactive, problem-solving mindset with a strong sense of ownership. Excellent critical thinking and analytical skills. AWS experience, particularly with identity management and security. Expertise in Kubernetes and container security & experience with self-managed Kubernetes or EKS on AWS. Be based in the SF Bay Area, or willing to relocate here. Annual Salary Range $180,000 - $360,000 USD 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.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About Us:webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.About the Role:We are looking for a Senior C++ Systems Engineer with deep expertise in high-performance computing and machine learning inference. In this role, you’ll design and optimize inference engines for on-device applications on Apple platforms (macOS & iOS), leveraging Metal and MLX to push performance to its limits.This is an ideal opportunity for someone who thrives at the intersection of low-level systems programming, applied machine learning, and hardware-aware optimization.Key ResponsibilitiesImplement and optimize advanced ML architectures (Transformers, Mixture of Experts, Diffusion models) in C++, with a focus on performance and memory efficiency.Develop and fine-tune custom Metal kernels for performance-critical inference operations.Apply advanced model quantization techniques (low-bit, mixed-precision) to accelerate performance while minimizing footprint.Profile, benchmark, and tune inference on Apple Silicon (M-series, A-series), identifying and eliminating bottlenecks.Collaborate on API design and build Python bindings for C++ libraries.Contribute to robust testing frameworks to ensure reliability and performance.Requirements & SkillsBachelor’s degree in CS, EE, or a related field, or equivalent experience.4+ years of professional experience in C++ systems programming.Strong understanding of computer architecture, data structures, and algorithms.Demonstrated experience with performance profiling and low-level optimization.Familiarity with deep learning concepts and architectures (Transformers, Diffusion models, Mixture of Experts).Preferred (but not required)Deep expertise with Apple’s MLX framework.Demonstrable experience writing and optimizing custom Metal kernels.Experience with model quantization techniques and their performance implications.Familiarity with the iOS/macOS development ecosystem and build systems (CMake).Experience creating Python bindings for C++ libraries.We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others. Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.401k Match (US-based only)$200/mos Health and Wellness Stipend$400/year Continuing Education Credit$500/year Function Health subscription (US-based only)Free parking, for in-office employeesUnlimited Approved PTOParental Leave for Eligible EmployeesSupplemental Life Insurance webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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About LightfieldLightfield is a next-generation CRM that automatically captures customer interactions like emails, meetings, and support tickets and organizes them into structured CRM data, enabling deep analysis of customer activity and powerful automation.Unlike traditional CRMs, Lightfield continuously learns from how you sell and who you sell to, directly from the words of customers and actual workflows in the system. With this data, Lightfield proactively manages customer tasks, automates personalized customer communication, and delivers the visibility and insights needed for teams to continually refine their go-to-market strategy.The company is initially focused on becoming the first comprehensive system of record and go-to-market platform for high-growth technology companies. With a flexible and scalable model for data capture and organization, Lightfield is designed to be the last CRM and GTM-automation tool our companies will ever need.Our team previously built Tome, a generative AI presentation product used by over 25 million people, gaining deep expertise in context management, effective evaluation loops, and user-interaction design for generative AI. Before Tome, many of us worked on Llama, Instagram, Facebook Messenger, Pinterest, and Salesforce.About the roleWe’re looking for a driven, creative engineer who is excited about the challenge of leveraging LLMs to build exceptionally innovative product experiences.You’ll join us at the frontier of AI product development, developing industry-leading approaches to solve important customer problems.Engineers at Lightfield own and drive projects from inception to impact, working with teammates of all functions along the way.You’ll also push our company’s overall product and technical vision as we learn from each project and continue to scale.What You'll doCollaborate with product leaders to identify customer problems, scope requirements, and implement LLM-powered solutions.Apply LLMs as reasoning engines to build domain-specific AI assistants.Create and enhance prompts, applying techniques like few-shot learning and chain-of-thought.Develop and optimize end-to-end RAG pipelines and agent architectures to leverage public and proprietary data.Improve end-to-end AI agent quality (e.g. relevance, fidelity, latency) via empirical evaluation and iteration.Build and enhance systems and tools that enable high-velocity experimentation (e.g. LLM-powered automated evaluation) and customized product experiences.Stay at the forefront of AI research and incorporate state-of-the-art techniques.Shape technical direction and best practices for AI application development at Lightfield.Help build a world-class engineering team by recruiting and mentoring teammates.Who you areYou have the ability to ramp quickly on tech stack that features TypeScript, React, Next.js, Node.js, Apollo GraphQL, and Aurora PostgreSQL.You have explored working with LLMs, either through professional projects or personal experimentation.You have a degree in Computer Science or a related field, with a strong foundation in software engineering principles.You are familiar with AI and ML concepts (e.g. training, evaluation techniques).You are passionate about keeping up with and exploring the latest advancements in LLMs and LLMOps (including open source solutions, e.g. LangChain).You are excited to develop new best practices in an emerging domain.You can drive a project with an ambiguous problem independently.You enjoy strategically balancing ambitious vision with frequent delivery of user value.You are able to clearly communicate your reasoning and decisions to your teammates (technical and nontechnical) at an appropriate altitude of detail.You are energized by building software experiences customers will use directly and depend on to do their jobs successfully.Benefits & PerksCompetitive salaryMeaningful early equityHealth insurance (medical, dental, vision)3 weeks of PTO11 paid company holidays + we enjoy a winter holiday break3 months of paid family leaveWednesdays work from homeRegular team dinners, events, offsites, and retreats401k planOther perks include: commuter and lunch stipend