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About Model Shaping The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. About the Role As a Platform Engineer at Model Shaping, you will work on the foundational layers of Together’s platform for model customization and evaluation. You will design the infrastructure and backend services that will allow us to sustainably and reliably scale the systems powering production workflows launched by our users, as well as internal research experiments. You will operate in a cross-functional environment, collaborating with other engineers and researchers in the team to improve the infrastructure based on the needs of projects they work on. You will also interact with other engineering teams at Together (such as Commerce, Data Engineering, and Cloud Infrastructure) to integrate the services developed by Model Shaping with systems developed by those teams. Responsibilities Design and build Together’s systems and infrastructure for model customization, including user-facing features and internal improvements Contribute to reliability improvements for the platform, participating in an on-call rotation and improving processes for incident response Create and improve internal tooling for deployment, continuous integration, and observability Build a job orchestration platform spanning multiple data centers, supporting a highly heterogeneous hardware landscape Partner with teams developing internal services, co-designing these services and incorporating them in systems built by Model Shaping Requirements 3+ years of experience in building infrastructure or backend components of production services Comfortable with the fundamentals of Linux environments and modern container/orchestration stacks (e.g., Docker and Kubernetes)  Strong software engineering background in Python or Go Experienced with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD) Skilled with analyzing non-trivial issues of complex software systems and documenting your findings Have cloud environment (e.g., AWS/GCP/Azure) administration experience, preferably with a hybrid bare-metal/cloud environment Strong communication skills, willing to document systems and processes and collaborate with peers of varying technical expertise Stand-out experience Developing large-scale production systems with high reliability requirements Pipeline orchestration frameworks (e.g., Kubeflow, Argo Workflows, Flyte) Managing GPU workloads on HPC clusters, ideally with hands-on experience in operating NVIDIA’s networking stack (e.g., NCCL, Mellanox firmware, GPUDirect RDMA) Deployment of services for AI training or inference Maintaining or contributing to open-source projects About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, RedPajama, SWARM Parallelism, and SpecExec. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is $200,000 - $290,000. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy

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About the Role:We’re launching a new venture in Generative AI and are seeking a founder-in-residence to lead it from concept to company. If you're a builder with technical GenAI experience and a track record of building  products from 0 to 1, this is your opportunity to shape a venture at the ground floor. As the Founder-in-Residence, you’ll set the product vision, lead the technical execution, and serve as the face of the company. This role requires a unique mix of deep technical expertise, product intuition, business execution, storytelling, and leadership. Who We Are:AI is the new electricity. Just as it transformed entire industries 100 years ago, AI is poised to do the same today. AI Fund is a venture studio that co-founds companies alongside entrepreneurs, and we  build companies from inception to market launch. Founded in 2017 by Dr. Andrew Ng, the $370 million-dollar funded venture studio is backed by top-tier VC firms and investors, and brings to bear the AI Fund teams’ combined experiences as AI pioneers, entrepreneurs, venture capitalists, and builders.  Why Partner With AI Fund:We’ve been there. We’ve founded and scaled successful companies ourselves, and we know that creating meaningful startups is really hard. We accelerate the company building process. Coming up with great ideas, turning the idea into a tangible product, assembling great teams, and helping raise capital is what we do. We shorten a process that can take years down to months.  We make sure you are building a compelling product supported by great AI technology,  and are surrounded by great teammates. But we also know that the process is not about us. It’s about great Founders and empowering them to do great things. What We are Looking for:Technical Expertise:Hands-on experience building and deploying GenAI or ML-powered applications (e.g., ones involving components such as LLMs, agentic workflows, reasoning systems, chatbots, evals, etc.) )Full-stack engineering understanding with a grasp of scalable, cloud-native application architecture.Ability to architect and ship complex systems across frontend, backend, and infrastructure.Product & Startup Experience:Proven track record of building 0→1 products.Experience navigating ambiguity, iterating quickly, and building products from scratch.Team Leadership: Experience building, managing, or scaling high-performing teams.Strong leadership presence with the ability to inspire, align, and influence cross-functional teams.Go-to-Market Skills:Strong customer empathy — actively seeks out user feedback and integrates it into product decisions.Understanding of market dynamics and competitive positioning.Comfortable collaborating with sales, marketing, and GTM teams to shape product strategy and messaging Bonus Points For:Experience presenting to investors or participating in capital raises.Deep knowledge or strong familiarity with our target industry (e.g., renewable energy, infrastructure, compliance, etc.).Previous co-founder or founding engineer of VC-backed software company. Characteristics We Value:Accountability: an obligation or willingness to accept responsibility or to account for one's actions while doing so with the highest regard for integrity. Leadership: able to influence others to follow you and lead the team to a brighter future. Grit: able to stick with projects and work hard through good and bad times. High pain tolerance and can perform well under stress or pressure.Scrappy: Takes initiative and proactively gets things done with low resources, but doing creative things, begging, borrowing, and whatever is needed in an ambiguous environment or situation.Ownership orientation: Demonstrated orientation of extreme ownership over all aspects of the company and extremely results-driven in nature.

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About the CompanyCompanies want to train their own large models on their own data. The current industry standard is to train on a random sample of your data, which is inefficient at best and actively harmful to model quality at worst. There is compelling research showing that smarter data selection can train better models faster—we know because we did much of this research. Given the high costs of training, this presents a huge market opportunity. We founded DatologyAI to translate this research into tools that enable enterprise customers to identify the right data on which to train, resulting in better models for cheaper. Our team has pioneered deep learning data research, built startups, and created tools for enterprise ML. For more details, check out our recent blog posts sharing our high-level results for text models and image-text models.We've raised over $57M in funding from top investors like Radical Ventures, Amplify Partners, Felicis, Microsoft, Amazon, and notable angels like Jeff Dean, Geoff Hinton, Yann LeCun and Elad Gil. We're rapidly scaling our team and computing resources to revolutionize data curation across modalities.This role is based in Redwood City, CA. We are in office 4 days a week.About the RoleWe’re looking for a Research Scientist to lead work on post-training data curation for foundation models. You’ll design and implement algorithms to generate and improve instruction, preference, and other post-training datasets. You’ll also help bridge the gap between pre-training and post-training by exploring how to jointly optimize data across stages. This role requires strong scientific judgment, fluency with the deep learning literature, and a drive to turn research ideas into real-world impact. You’ll work autonomously, collaborate closely with engineers and product teams, and shape the future of data curation at DatologyAI.What You'll Work OnPost-training data curation. You’ll conduct research on how to algorithmically curate post-training data—e.g., how to generate and refine preference and instruction-following data, how to curate capability- and domain-specific data, and make post-training more effective, controllable, and generalizable.Unifying pre-training and post-training data curation. Pushing the bounds on model capabilities requires unifying post-training and pre-training data curation. You will pursue research on end-to-end data curation: how to curate pre-training data to improve the post-trainability of models and how to jointly optimize pre- and post-training data curation, all in service of maximizing the final performance of post-trained models.Transform messy literature into practical improvements. The research literature is vast, rife with ambiguity, and constantly evolving. You will use your skills as a scientist to source, vet, implement, and improve promising ideas from the literature and of your own creation.Conduct science driven by real-world needs. At DatologyAI, we understand that conference reviewers and academic benchmarks don’t always incentivize the most impactful research. Your research will be guided by concrete customer needs and product improvements.How You'll WorkNobody knows how to do your work better than you. We believe that scientists do their best work when they have the autonomy to pursue problems in the manner they prefer, and we will ensure that you are equipped with the context and resources you need to succeed.Science is more than just experiments. We expect our Research Scientists to collaborate closely with engineers, talk to customers, and shape the product vision.About You3+ years of deep learning research experienceExperience with post-training large vision, language, and multimodal modelsPost-training algorithm development, data curation, and/or synthetic data methods for:Preference-based tuning (e.g. DPO, RLVR, RRHF)Alternative supervision & self-supervision techniques such as self-training and chain-of-thought distillationSFT (e.g. instruction tuning and demonstration fine-tuning)Post-training tooling development and engineering experienceStrong understanding of the fundamentals of deep learningSufficient software engineering + deep learning framework (PyTorch or a willingness to learn PyTorch) skills to conduct large-scale research experiments and build production prototypes.Demonstrated track record of success in deep learning research, whether papers, tools, or other research artifacts.We would love it if candidates have:Experience with data management and distributed data processing solutions (e.g. Spark, Snowflake, etc.)Experience building + shipping ML productsCandidates do not need a PhD or extensive publications. Some of the best researchers we’ve worked with have no formal training in machine learning, and obtained all of their experience by working in industry and building products. We believe that adaptability, combined with exceptional communication and collaboration skills are the most important ingredients for successful research in a startup environment.CompensationAt DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The salary for this position ranges from $180,000 to $260,000.The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance.

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.About the RoleWe’re looking for a Sales Operations Manager to build and optimize the systems that power Lambda’s top-of-funnel engine across both inbound and outbound motions. You’ll own the workflows, data flows, and tooling (including AI) that ensure our pipeline is clean, prioritized, and actionable.This is a cross-functional role at the center of our GTM motion. You’ll collaborate with Sales, Marketing, Growth, and Product to enable smarter targeting, faster response times, and more personalized outreach. From enrichment of accounts, to routing, to AI-enhanced lead scoring and CRM hygiene, your work will ensure Sales Reps are prioritizing the right accounts and the right leads - with full context and minimal wasted motion.If you’re energized by automation, data quality, and leveraging AI to scale intelligent workflows this is your role. What You’ll DoTooling, Automation & AIIntimately understand the day-in-a-life of a seller and the sales process. With that as a north star, optimize the existing top-of-funnel tech stack. Developing strong partnerships with vendors. Own field-facing training tools and process training. Stay abreast of industry best practices and GTM tech landscape. Experiment. Pilot new tools. Set S.M.A.R.T. goals and use them to inform “scale or scrap” decisions. Build and maintain AI-assisted workflows that support both inbound and outbound motionsDesign lead scoring and routing logic that blends ICP, product engagement, and AI-enriched signalsPartner with Product Marketing and leverage AI to personalize outreach at scaleDevelop dashboards that visualize pipeline coverage, funnel velocity, and conversion trends with real-time dataProcess Creation & OptimizationMap, document, and continually improve lead workflows from form fill to follow-up, enrichment to rep assignmentBuild repeatable logic for territory mapping, lead-to-account matching, and routingIdentify and remove funnel friction, including lead prioritization issuesCRM Hygiene & Data IntegrityOwn GTM data quality across leads, contacts, accounts, and opportunities in SalesforceMonitor and address duplicates, missing firmographics, and misrouted leadsEnsure smooth system handoffs (e.g., HubSpot → Salesforce), integrating enrichment guardrails and validation layersMaintain a high-fidelity data environment that fuels AI workflows and sales insightsCross-Functional PartnershipCollaborate across Lambda including Sales, Sales Enablement, Growth, Marketing, and Product to scale GTM infrastructureAct as the operational voice of the top-of-funnel in tooling, data architecture, and lifecycle design conversationsSupport & EnablementBe a go-to resource for Sales and Marketing, supporting tool troubleshooting, lead flows, and enrichment performanceMaintain thorough documentation of workflows, scoring models, AI prompt libraries, and routing rulesRun consistent feedback loops to identify gaps and continuously optimize funnel operationsSkills & Experience5–7 years experience in Revenue, Sales, or Business Operations roles at a SaaS, Cloud, or AI infrastructure companyHands-on experience with GTM tools (i.e. Salesforce, HubSpot, Outreach, Gong, Apollo, ZoomInfo) and AI enrichment workflowsProven success building automated lead flows, intelligent enrichment systems, and scalable outbound infrastructureHands-on experience with AI tooling in a GTM contextSystems-oriented thinker with strong attention to detail and experience designing structured, flexible operationsComfortable working with SQL, APIs, and AI-enhanced tooling to power GTM insights and automationGreat communicator and collaborator with a seller-centric, enablement-first mindsetBias to action and a builder mentality, someone who turns ambiguity into structure and manual tasks into codeSalary Range InformationBased on market data and other factors, the annual salary range for this position is $180,000 - $270,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, ~350 employees (2024) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About the Team: OpenAI's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. Through our API, we realize our mission by enabling everyone to harness the power of AGI safely, effectively, and at scale. Our API is the most widely used AI platform in the industry, empowering startups, indie developers, and Fortune 500 companies alike.About the Role: We're seeking an Engineering Manager to lead the team responsible for our Evals product on the OpenAI API. The Evals platform enables customers to rigorously evaluate the effectiveness of OpenAI models on their own use cases. It ensures effective assessment and improvement of AI model performance and reliability.In this role, you will:Build, mentor, and grow a high-performing engineering team focused on developing, scaling, and maintaining our Evals product.Collaborate closely with product managers, researchers, and cross-functional stakeholders to define strategic vision and roadmap.Guide your team through technical and architectural decisions, emphasizing scalability, robustness, and reliability.Foster a culture of innovation, continuous learning, and accountability within the team.Manage project timelines, priorities, and resource allocation effectively to meet organizational goals.Ensure alignment with OpenAI’s broader mission and ethical guidelines for AI development and deployment.Qualifications:Proven track record managing teams that deliver high-quality products at scale.Strong technical background with an understanding of modern software engineering practices and architecture.Exceptional collaboration and communication skills, capable of aligning diverse stakeholders toward common objectives.Experience or strong interest in machine learning, AI evaluation methodologies, and performance assessment.Ability to operate effectively in a fast-paced, ambiguous startup environment. Preferred Qualifications:Prior experience building evaluation frameworks or infrastructure in AI/ML domains, especially involving large language models.Familiarity with cloud platforms and distributed systems.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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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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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 seeking exceptional multimedia and Android engineers to join a small, high-impact team dedicated to making Grok's real-time avatar products and mobile experiences the best in the world. You’ll shape cutting-edge mobile experiences, blending technical mastery with a keen product sense to deliver brilliance that resonates with users. An ideal candidate meets at least the following requirements: Expert in Kotlin, with deep knowledge of Jetpack Compose and the Android View system. Proficient in performance optimization—memory, CPU, GPU—using low-level tools to deliver blazing-fast systems. Experienced in designing and shipping intuitive, pixel-perfect mobile UIs that redefine how users interact with AI, driven by a strong sense of product design and user needs. Skilled in concurrency and reactive programming (Coroutines, Flow) for responsive, real-time apps. Built high-throughput integrations with APIs (REST, gRPC) or AI model outputs, ensuring seamless data flow while aligning with product goals. Capable of owning complex features end-to-end, from architecture to Play Store deployment, with a focus on speed, scalability, and delivering measurable user value. Additionally, experience in any of the following may set you apart: Deep expertise in the Android ecosystem and related development tools (Android Studio, Gradle, etc.). Rust for working with our backend components. Media3 or ExoPlayer for real-time audio processing. A proven track record of shipping standout apps or features that demonstrate both technical excellence and exceptional product intuition. What You’ll Do Dream up and craft delightful, intuitive user experiences that redefine how people interact with AI on mobile, balancing technical innovation with a deep understanding of user behavior and needs. Obsess over every pixel, animation, and interaction, ensuring the experience feels magical, seamless, and purposeful—delivering joy and utility in equal measure. Build blazing-fast, highly performant systems where every millisecond counts, while ensuring the product solves real user problems. Drive technical and product decisions, collaborating with AI researchers, designers, and engineers to deploy state-of-the-art models globally, with an eye toward maximizing user impact. Who You Are Technically Exceptional: You possess deep expertise in Android development, particularly with Kotlin. We seek individuals who operate at the highest levels of their craft. Efficient: You excel at delivering results swiftly, often in a fraction of the time others require. Speed is a core value at xAI—we must act decisively to succeed. Hardworking High Agency: You don’t wait for direction—you take initiative, propose bold ideas, and make things happen, both technically and from a product perspective. Product-Minded: You have a sharp product sense, with an ability to empathize with users, anticipate their needs, and translate that into features that delight and deliver value. Location You can work out of xAI’s Palo Alto or San Francisco office.  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 3 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. 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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Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.About the team + role: We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The PeopleX Transformation team at Robinhood works cross-functionally to digital enablement, automation, and continuous improvement to support Robinhood's strategic PeopleX goals and operationalize a best-in-class employee experience. This role is responsible for leading a high performance team that manages a portfolio of high-priority, high-visibility projects within our People Operations ecosystem, with a primary focus on International expansion, Mergers and Acquisitions (M&A), AI and Machine Learning, and System and Process Optimizations for our HR services. You will collaborate closely with internal partners and cross functional partners, particularly Corporate Engineering. The ideal candidate brings strong leadership, structure and a consultative approach to their work. This role is based in our Chicago, IL, Denver, CO, Lake Mary, FL, or Westlake, TX office(s), with in-person attendance expected at least 4 days per week.  At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Manage a team of PX Transformation Partners in a high-performance culture Drive innovation in automation and self-service, reducing manual tasks, minimizing errors, and improving data flows Define success metrics and leverage data to measure the impact of the projects and optimization the team is responsible for Identify new initiatives to enhance PeopleX metrics, increase business efficiency, and address operational impacts through cross-functional collaboration Drive executive alignment on strategy, timeline and execution for these new initiatives, and lead XFN project teams to deliver solutions Roll out MVPs, iterate through staged launches, deliver comprehensive change management to drive adoption, and manage vendors as needed Lead PX's partnership with Corporate Engineering; co-own a prioritization framework to ensure alignment of resources to strategic goals, and support requirements gathering Facilitate feedback loops to act as the central liaison for HR customers on systems-related initiatives, keeping HR leadership informed and aligned on progress What you bring 3+ years experience leading strategic HR Program/Project Teams, with a strong focus on AI, automation, process optimization, and system implementation 7+ years experience managing large scale Programs and Projects from inception to implementation Expertise with HR tools and systems; strong preference for Workday, ServiceNow, Greenhouse, Lattice, Sana, and Moveworks experience Excellent project management skills with proven track record to lead enterprise-wide projects, navigate complex stakeholder environments, and align cross-functional teams Strong strategic, analytical, and problem-solving skills, with experience using data to optimize solutions and measure success Exceptional communication and relationship-building skills, with a focus on influencing and aligning diverse teams Strong financial and business acumen, with the ability to assess return on investment and align initiatives with organizational priorities Global experience preferred Leadership expectations  Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them: Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech. Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly. Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity. What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range:Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)$153,000—$180,000 USDZone 2 (Denver, CO; Westlake, TX; Chicago, IL)$134,000—$158,000 USDZone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)$119,000—$140,000 USDClick here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

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$120K - $180K // 0.50% - 2.50% // San Francisco or RemoteAbout the roleWe’re looking for a senior level product manager to join the team. In this role, you’ll be responsible for leading the development of products end-to-end, from conception through development and rollout.If you're excited to have a lot of ownership while remaining in the details day to day, this might be a great fit for you.What you’ll be doing:Perform up-front discovery through user interviews, competitive research, data analysis, etc. and present findings to the team with conviction and rigor.Optimize existing flows to reduce churn and increase conversion.Investigate and resolve inbound customer issues reported through all communication channels, including email, support and Slack.Surface trends and insights from customer feedback to the team at large to inform product choices.Lead select strategic projects to improve the support experience, product operations, and internal enablement.You’re likely a good fit if:You are quick, scrappy and first and foremost a hacker/builder. Product at Anara moves lightning fast - we typically take features from idea to high-fidelity design in days, not weeks or months.You’ve spent at least a few years shipping complex but beautiful features to real users.You have world-class design and product taste.You have worked in a high-growth, fast-paced environment (ideally another startup) and can drive things forward with relatively little oversight.We’re based in San Francisco with members of the team distributed across the US and Europe.If you're interested in moving to SF, we're more than happy to sponsor your visa. We'll work with an immigration attorney to make sure everything goes smoothly.We offer premium healthcare (medical, dental, etc.), flexible working hours and office space with a beautiful view of the SF marina and Golden Gate bridge.To apply, reach out with a couple of sentences about you, links to your previous work and what you want to do for us starting next week. Applications without this information are automatically archived.About AnaraAnara is AI for scientific advancement. We help researchers understand, organize and write scientific documents, together.We started working on Anara 18 months ago. In that time:we’ve grown to 2M users spanning hundreds of major colleges and research-led companies,we reached $3M in yearly revenue and are fast approaching $4M,200M+ people have seen our content across Instagram, TikTok and YouTube,and we raised $2.4M from YC and the founders of Github and Reddit.Looking ahead, we’re expanding beyond summarization and writing assistance to address the broader challenges of information overload faced by academics and research teams.We're a small, tight-knit team with huge ambitions. As a founding member of the team, you'll be instrumental in helping us scale revenue from $3M to $10M and then $10M to $100M+.If you’re excited by the idea of being a part of that, definitely apply.

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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!Why this role?As a Full Stack Software Engineer on our Applied ML team you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack.In this role, you’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!In this role, you will: Own and build large new areas within our product.Work across the backend, frontend, and interact with Large Language Models.Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.Work across the entire product lifecycle from conceptualisation through production.This career opportunity may be a good match for you if you have: Proficiency in one or more of Go, Python, Node, React, Next.js.Experience across the full stack, building ML infrastructure and AI-powered solutions.Background in developing language models using frameworks like Lang Chain and evaluating their performance using tools such as the Llama Index.A track record in scaling products at hyper-growth startups.Strong written and verbal communication skills.Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.Nice to have skills/experiences: Experience building LLM applications using tools such as Langchain.Experience in Information Retrieval systems for document question answering.Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).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 TeamWithin the OpenAI Security organization, our IT team works to ensure our team of researchers, engineers, and staff have the tools they need to work comfortably, securely, and with minimal interruptions. As an Enterprise Security Engineer, you will work in a highly technical and employee-focused environment.Our IT team is a small and nimble team, where you’ll have the opportunity to dive into a wide breadth of areas and build from the ground up. We’re well supported and well resourced, and have a mandate to deliver a world-class enterprise security program to our teams.About the RoleAs an Enterprise Security Engineer, you will be responsible for implementing and managing the security of OpenAI's internal information systems’ infrastructure and processes. You will work closely with our IT and Security teams to develop security capabilities, enforce security policies, and monitor internal systems for security threats.This role is open to remote employees, or relocation assistance is available to Seattle.In this role, you will:Develop and implement security measures to protect our company's information assets against unauthorized access, disclosure, or misuse.Monitor internal and external systems for security threats and respond to alerts.Contribute to and enforce our company's IT and Security policies and procedures.Work closely with our IT department to harden our infrastructure using best practices in AzureAD, GSuite, Github, and other SaaS tooling.Advise our employees on best practices for maintaining the security of their endpoints, and office AV and network infrastructure.Devise novel sharing controls and associated monitoring to protect company data, including  intelligent groups management, Data Loss Prevention (DLP) and other security controls as appropriate.Employ forward-thinking models like “secure by default” and “zero trust” to create sustainably secure environments for knowledge workers and developers.Identify and remediate vulnerabilities in our internal systems, adhering to best practices for data security.Use our own AI-driven models to develop systems for improved security detection and response, data classification, and other security-related tasks.Educate employees on the importance of data security, and advise them on best practices for maintaining a secure environment.Contribute to OpenAI's endpoint and cloud security roadmaps by staying up to date with the latest security threats, and making recommendations for improving our security posture.You might thrive in this role if you have: Experience in protecting and managing macOS fleets.Experience deploying and managing endpoint security solutions (e.g. management frameworks, EDR tools).Experience with public cloud service providers (e.g. Amazon AWS, Microsoft Azure).Experience with identity and access management frameworks and protocols, including SAML, OAUTH, and SCIM.Experience with e-mail security protocols (e.g. SPF, DKIM, DMARC) and controls.Intermediate or advanced proficiency with a scripting language (e.g. Python, Bash, or similar).Knowledge of modern adversary tactics, techniques, and procedures.Ability to empathize and collaborate with colleagues, independently manage and run projects, and prioritize efforts for risk reduction..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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About the TeamWithin the OpenAI Security organization, our IT team works to ensure our team of researchers, engineers, and staff have the tools they need to work comfortably, securely, and with minimal interruptions. As an Enterprise Security Engineer, you will work in a highly technical and employee-focused environment.Our IT team is a small and nimble team, where you’ll have the opportunity to dive into a wide breadth of areas and build from the ground up. We’re well supported and well resourced, and have a mandate to deliver a world-class enterprise security program to our teams.About the RoleAs an Enterprise Security Engineer, you will be responsible for implementing and managing the security of OpenAI's internal information systems’ infrastructure and processes. You will work closely with our IT and Security teams to develop security capabilities, enforce security policies, and monitor internal systems for security threats.This role is open to remote employees, or relocation assistance is available to San Francisco.In this role, you will:Develop and implement security measures to protect our company's information assets against unauthorized access, disclosure, or misuse.Monitor internal and external systems for security threats and respond to alerts.Contribute to and enforce our company's IT and Security policies and procedures.Work closely with our IT department to harden our infrastructure using best practices in AzureAD, GSuite, Github, and other SaaS tooling.Advise our employees on best practices for maintaining the security of their endpoints, and office AV and network infrastructure.Devise novel sharing controls and associated monitoring to protect company data, including  intelligent groups management, Data Loss Prevention (DLP) and other security controls as appropriate.Employ forward-thinking models like “secure by default” and “zero trust” to create sustainably secure environments for knowledge workers and developers.Identify and remediate vulnerabilities in our internal systems, adhering to best practices for data security.Use our own AI-driven models to develop systems for improved security detection and response, data classification, and other security-related tasks.Educate employees on the importance of data security, and advise them on best practices for maintaining a secure environment.Contribute to OpenAI's endpoint and cloud security roadmaps by staying up to date with the latest security threats, and making recommendations for improving our security posture.You might thrive in this role if you have: Experience in protecting and managing macOS fleets.Experience deploying and managing endpoint security solutions (e.g. management frameworks, EDR tools).Experience with public cloud service providers (e.g. Amazon AWS, Microsoft Azure).Experience with identity and access management frameworks and protocols, including SAML, OAUTH, and SCIM.Experience with e-mail security protocols (e.g. SPF, DKIM, DMARC) and controls.Intermediate or advanced proficiency with a scripting language (e.g. Python, Bash, or similar).Knowledge of modern adversary tactics, techniques, and procedures.Ability to empathize and collaborate with colleagues, independently manage and run projects, and prioritize efforts for risk reduction..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!Why this role?As a Full Stack Software Engineer on our Applied ML team you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack.In this role, you’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!In this role, you will: Own and build large new areas within our product.Work across the backend, frontend, and interact with Large Language Models.Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.Work across the entire product lifecycle from conceptualisation through production.This career opportunity may be a good match for you if you have: Proficiency in one or more of Go, Python, Node, React, Next.js.Experience across the full stack, building ML infrastructure and AI-powered solutions.Background in developing language models using frameworks like Lang Chain and evaluating their performance using tools such as the Llama Index.A track record in scaling products at hyper-growth startups.Strong written and verbal communication skills.Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.Nice to have skills/experiences: Experience building LLM applications using tools such as Langchain.Experience in Information Retrieval systems for document question answering.Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).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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Job Title: VP, Solutions (Pre-Sales) Pay Range: $250,000 - $350,000 plus $500,000-$650,000 Bonus Job Type: Hybrid, Kizen NYC office, 4 days per week.   At Kizen, we’re engineering a more humane future where AI drives universal healthcare, more impactful work, world-class education, exceptional customer experiences, and — overall — a more fulfilling human experience. Kizen is on a mission to give every team member an AI Assistant - turning every company into an AI-company, every worker into an AI-Enhanced Worker, and every Process into an AI-optimized, continuously improving process. Kizen is the first GenAI enterprise application builder. Businesses of any size, within any industry can build AI assistants for complex jobs across healthcare, finance, and HR and modern enterprise applications - like CRMs, Workflow Automation, Real Time Dashboards, and Secure Portals in minutes and perfect them in an afternoon. Kizen helps teams systematically improve processes and business outcomes with data-driven insights and powerful automation with access to all the latest AI models. As our VP, Solutions (Pre-Sales), you’ll serve as both a strategic advisor and technical and business process problem-solver, develop detailed business requirements, and build prototypes during all stages of the sales process. This role is ideal for someone who loves getting into the details and creating transformational impacts in large enterprises — understanding real business processes, rapidly iterating, and creating high-value solutions that scale. You’ll start by building — and grow into building a team. This is an opportunity of a lifetime for someone who wants to be at the heart of the AI movement to better humanity. As the VP, Solutions (Pre-Sales) you’ll be working directly with our CEO, CTO and the executive team to shape the future of Kizen and guide our customers on their AI journey.   What You’ll Be Doing Personally designing and building working prototypes for new, high-potential use cases using the Kizen platform Leading business discovery and translating complex requirements into clear, actionable technical documentation Supporting demos and addressing technical solution questions in pre-sales cycles for both new and existing use cases Scoping and estimating solution architecture needs, integrations, and implementation effort across enterprise engagements Acting as the bridge between sales, product, and implementation — owning technical conversations and planning that set the stage for successful hand-offs to the implementation team Building and scaling a Solutions team after demonstrating repeated success and understanding of the platform yourself (player/coach) Continuously identifying opportunities for innovation, optimization, and integration across industries and verticals Developing clear pictures of the current state of the tech stack in large enterprises, helping them understand future state, and charting a clear course from today to where they want to be Working with large enterprises and architecting digital and process transformation - you must be able to build coalitions across diverse groups with different goals Minimum Requirements — What You Bring 10+ years of experience in enterprise consulting, solution architecture, and pre-sales engineering in a SaaS or tech-enabled services environment Strong consulting background — with a deep understanding of business processes, operations, and workflow optimization Experience designing data models and integrations (APIs, ETL processes), particularly between systems like EMRs, CRMs, ERPs, etc. Demonstrated ability to write clear business and technical requirements and translate them into prototypes or POCs Hands-on technology implementation skills (configuring, testing, iterating SaaS solutions) Strong enterprise sales acumen — with the ability to build trust, influence stakeholders, and support long sales cycles Fast learner able to quickly ramp into new industries and use cases with confidence and curiosity Detail-oriented, organized, and process-driven — able to juggle multiple pre-sales engagements with clarity Executive presence with excellent verbal, written, and visual communication skills Proven experience managing or mentoring technical or solution-oriented teams Ideal Candidate will have:   Experience in regulated industries like healthcare, insurance, or financial services Familiarity with low-code platforms Understanding of AI, ML, and automation concepts (we can teach this!) Familiarity with cloud platforms (AWS, GCP, Azure) and modern software development workflows You’ll Thrive in This Role If You: Want to help solve the last mile delivery problem with AI and help all stakeholders significantly improve their experiences  Love turning ambiguous problems into real, working systems Excel at navigating both technical detail and strategic business goals Enjoy building things from scratch and setting standards for others to follow Can roll up your sleeves to help a deal close and a client succeed — and inspire others to do the same Are energized by growth, experimentation, and fast-paced environments Want to be part of a company shaping the future of intelligent systems and enterprise platforms Why Kizen? Kizen is building the next generation of AI-powered business systems — platforms that help organizations operate faster, smarter, and with greater precision. If you’re excited to be on the frontlines of that transformation, and ready to play a key role in both vision and execution, we want to meet you.   What We Offer Career Growth Opportunities Engaging Work Culture Top-Tier Compensation Equity Package Healthcare Coverage Professional Development Stipends PTO  Kizen is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics. At Kizen, we fully comply with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals.  The base salary range for this position is $250,000.00 $350,000.00. However, base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we also offer generous equity and benefits packages. If you’re excited about creating impactful experiences and contributing to a fast-paced, people-focused team, we’d love to meet you! OTE - 750,000-$1,000,000 OTE Base pay:  $250,000 - $350,000 + $500,000-$650,000 Bonus Compensation Range$250,000—$350,000 USD

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About HappyRobotHappyRobot is a platform to build and deploy AI workers that automate communication. See a demoOur AI workers connect to any system or data source to handle phone calls, email, messages…We target the logistics industry which relies heavily on communication to book, check on, & pay for freight. Primarily working with freight brokers, 3PLs, freight forwarders, shippers, warehouses, & other supply chain enterprises and tech startups.We raised a Series A round from a16z and YC and we’re growing very fast.We're looking for rockstars with a relentless drive, unstoppable energy, and a true passion for building something great—ready to embrace the challenge, push limits, and thrive in a fast-paced, high-intensity environment.About the RoleAs an Operations Intern at HappyRobot, you’ll work closely with our teams to support the systems, processes, and tooling that drive our day-to-day execution. From managing sales data and internal reporting to helping streamline workflows and special projects, you'll play a key role in helping the business scale efficiently.This is a hands-on opportunity to learn how an early-stage AI company operates behind the scenes — especially at the intersection of product, sales, and execution.What You’ll DoHelp build and document internal workflows and automations that keep teams running efficiently.Assist in internal reporting and dashboards for sales, product usage, and business KPIsCoordinate and execute operational projects that touch GTM, product, and leadershipWork across teams in SF and Madrid to ensure consistent communication and follow-throughContribute to internal knowledge bases and tooling (Notion, Airtable, etc.)What We’re Looking ForStrong organizational skills and attention to detail — you love structure and clarityAnalytical mindset and a willingness to dive into tools, data, and workflowsExcellent written and verbal communicationComfortable working in a fast-paced, startup environment with shifting prioritiesWhy join us?Opportunity to work at a high-growth AI startup, backed by top investors.Fast Growth - Backed by a16z and YC, on track for double-digit ARR.Ownership & Autonomy - Take full ownership of projects and ship fast.Work With the Best - Join a world-class team of engineers and builders.Our Operating Principles Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching. We are “majos” Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win. First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.For more information, visit https://www.happyrobot.ai/privacy-policyBy submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

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About RobinRobin is on a mission to rebuild the legal industry — starting with making contracts simple for everyone. We are a pioneer in Legal AI, built on proprietary models, licensed data, and deep partnerships with Anthropic and AWS. Since 2019, we’ve expanded our footprint to 4 continents and have been supporting many of the world’s most successful businesses, including GE, Pfizer, KPMG, and UBS.About the roleAt Robin AI, we bring together amazing people in engineering, AI and the law to create groundbreaking products that are transforming legal teams. Our current product blends traditional engineering, neural networks and LLMs to read and comprehend written contracts, assess whether they adhere to our customers’ preferred positions and automatically amends them. But our ambitions go way beyond reviewing contracts; we want to build technology that changes the way people and companies all over the world engage with legal services.You will help us build software that allows our customers to create contracts from a library of templates; quickly review and edit contracts sent to them by counterparties; and ask critical questions about the contracts they already have. #LI-LH1Our tech stackOur frontend is built using React and Apollo, and we use Python web frameworks, such as Django and Flask, to implement our back-end services, alongside various other services and libraries such as Celery and Elasticsearch. Everything runs on AWS services, including but not limited to ECS, Lambda and SQS. We use CircleCI to build and deploy, and all of our infrastructure is managed using Terraform.What you'll doContribute across the stack at Robin AI as part of one of our product squads. Make key design and implementation decisions, writing high-quality, well-tested code that solves challenging problems.Build Frontend UI’s on the web or Office.js platform using React, Typescript and Apollo.Develop Backend services and GraphQL API’s using Django, Flask and similar Python frameworks.Collaborate with engineers, designers, and other teams across the business to create innovative new features.Share your knowledge and experience with the frontend and backend chapters to help define technical standards and approaches for full stack development at Robin AI.Contribute to the entire development process including, system design, feature development and deployment.What about my skills?Experience making contributions across the stack from implementing complex Frontend apps to backend services and API’sExperience working with React and excellent knowledge of the building blocks of the web including: HTML, CSS and Browser API's.Experience building web services using a language such as Python, Go, or Node.js, and with associated frameworks (e.g. Django, Flask)Have an in-depth understanding of the entire development process (design, development and deployment)What’s in it for youSalary: $185,000 - $230,000Hybrid schedule: We offer a flexible working schedule. #LI-HYBRIDEquity package: Generous equity scheme - everyone gets to be an owner of Robin AI!Annual leave: 17 days PTO, in addition to the public holidays observed in the USA.Health: Medical, dental, and vision coverage.401k retirement.Growth opportunities: We prioritise promotions for high performers and help you to progress your career.What’s it like working at Robin?Our culture and values attract people who are creative, resourceful, and share our passion for excellence. At Robin, you're encouraged to push yourself and empowered to take risks. We support each other to think big, try new ideas, and navigate uncertainty. Whether you're at our headquarters or one of our worldwide offices, you'll find a world of opportunities to grow, thrive, and make a meaningful impact. See what life is like at Robin.Diversity, Equity and Inclusion at RobinWe are committed to building one of the most diverse technology companies in the world. As of 2024, more than 30% of our employees come from ethnic minority backgrounds, and 51% of roles are held by women. We know that transforming the legal industry requires diverse perspectives, so we're creating an environment where innovation thrives through inclusion.Robin operates a direct hiring model and any speculative CVs shared via agencies will be treated as a gift.

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About Appier  Appier is a SaaS company that uses 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. About the Role As a Sr Product Manager at Appier you will utilize your understanding of the local Japan market and competitive landscape, support customer engagements, identify product opportunities and define/execute GTM penetration strategy in collaboration with the local Enterprise team.  Responsibilities: -Engage with our customers, prospects and partners, develop a deep understanding of their needs, and stay close to latest global and local market trends to define forward-looking product strategy and business plans for Appier's data products -Work cross-functionally to create innovative and differentiating solutions that delight our customers and market them effectively to reach our business goals -Facilitate communications internally and externally and enable customer success teams and partners to maximize business impact -Develop product documentation, thought leadership, customer presentation and other content assets that drive success of our customers and our business   Ideal Experience: -7+ years of experience in product management, with proven track records of working with user experience design and product development teams to build products for enterprise customers -Fluent in both Japanese and English -Experience in marketing technology as a solution provider or as a user with proven track records of product & solution ideation, or equivalent experience to show strong understanding of digital marketing and advertising ecosystems -Experience working with go-to-market teams on product positioning, competitive research, pricing, packaging, product launches, among other go-to-market considerations -Experience working/liaising with external partners towards joint business goals -Excellent communications and presentation skills to articulate product ideas to both technical and non-technical audiences across all levels -Self-starter mindset to solve ambiguous problems with minimal guidance. Experience operating in a hyper-growth/entrepreneurial environment, scaling new and emerging products from the ground-up -Experience in building and/or enabling AI products

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Your ImpactHandshake is building the future of human data for AI.We partner directly with top AI labs to power large language model (LLM) training and evaluation with high-quality, expert-generated data. As AI models become more sophisticated, the demand for specialized human input continues to grow—and Handshake is uniquely positioned to meet it. We power career platforms at 92% of the top U.S. universities, giving us direct access to verified expert talent across a wide range of domains.Our AI team is rapidly building a new generation of human data products—from expert annotation platforms to AI interviewers and seamless payout infrastructure—all designed to accelerate research and improve model performance.We’ve assembled a world-class team from YC, Notion, Scale, Palantir, and more, and we’re working directly with many of the world’s leading AI research labs. This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.In your role as Data Scientist you will build dashboards and data pipelines to deepen our understanding of the fast growing Handshake AI business. You will deliver actionable insights and analyses that will guide the product strategy and operational next steps. You will be a thought partner for how to design our systems to cleanly track data. You will join a small team that will support all areas of the Handshake AI business, including Growth, Delivery Operations, Training, Churn/Retention, and more.Your RoleDefine and track critical business and product metrics with product and engineering leadersLead analytics workstreams to uncover trends and drive product and design innovationCollaborate strategically with product and engineering to ensure new systems and flows are designed in a way to capture data cleanly and effectivelyQuickly and efficiently build dashboards and reporting systems that meetings can be actually run out of to inform data-driven decision-making.Collaborate with cross-functional teams to understand analytical needs and translate them into clean, reusable data assets.Your Experience5+ years in data science, analytics, or a related quantitative field4-year degree in Computer Science or Computer EngineeringStrong communication and cross-functional collaboration skills for product / technical teams and executive audiencesAdvanced proficiency in SQL and Python / RExperience building dashboards to actually drive decision-makingFamiliarity with BI tools such as Looker and HexNote: This role is focused on data analytics and business strategy and is explicitly not about machine learning model development or causal inference.

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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 Data Center Site Reliability Engineer (SRE) at xAI, you will play a pivotal role in ensuring the reliability, scalability, and performance of our state-of-the-art data center infrastructure, including the Colossus supercluster in Memphis—the world's largest AI training cluster with over 100,000 liquid-cooled Nvidia GPUs and plans for expansion to 1 million. This infrastructure powers advanced AI workloads, massive-scale model training, and products like Grok, enabling breakthroughs in understanding the universe. You will collaborate with cross-functional teams to automate operations, enhance observability, and maintain high availability for large-scale distributed systems. This is a hands-on technical position in a dynamic environment, offering the opportunity to tackle complex challenges at the intersection of AI, data center operations, and software reliability. Key Responsibilities Maintain and improve the reliability and uptime of xAI’s on-premises and cloud-based data center environments, including high-density GPU clusters for AI training. Design, implement, and manage monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, PagerDuty). Develop and maintain infrastructure-as-code (Pulumi, Terraform) and continuous deployment pipelines (Buildkite, ArgoCD). Participate in on-call rotations, respond to incidents, perform root cause analysis, and drive post-mortem processes. Analyze system performance, forecast capacity needs, and optimize resource utilization for massive AI/ML workloads. Collaborate with hardware, networking, and software engineering teams to design and implement resilient, scalable solutions, such as RDMA fabrics and liquid-cooling systems. Create and maintain documentation and standard operating procedures. Contribute to the efficiency of AI training pipelines by identifying and mitigating bottlenecks in compute, storage, and networking at unprecedented scales. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience). 5+ years in site reliability engineering, data center operations, or large-scale infrastructure management. Expert-level knowledge of Kubernetes (on-prem and cloud), infrastructure-as-code tools (Pulumi, Terraform), and CI/CD systems (Buildkite, ArgoCD). Proficiency in at least one systems programming language (Rust, C++, Go) and strong scripting/automation skills. Deep understanding of monitoring and observability technologies. Strong troubleshooting skills across hardware, networking, and distributed software systems. Proven experience with incident response, including on-call rotations, rapid incident resolution, root cause analysis, and implementation of preventative measures. Excellent communication and documentation skills, with the ability to share knowledge concisely and accurately. Preferred Qualifications Experience supporting AI/ML workloads or high-density compute environments, including large-scale GPU clusters and HPC systems. Familiarity with data center electrical, cooling, and network systems, such as liquid-cooling and high-bandwidth interconnects. Certifications in SRE, Kubernetes, or data center operations. Experience with both on-premises and cloud infrastructure at scale. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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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.Job Summary The Connectivity Systems Engineer will be responsible for designing, specifying, and implementing structured cabling and fiber optic systems for xAI’s hyperscale data center build-outs. This role requires expertise in high-density cabling solutions, optical network design, and collaboration with cross-functional teams to deliver scalable, high-performance infrastructure that supports xAI’s advanced AI and GPU cluster workloads. You will play a critical role in ensuring the reliability and efficiency of our data center connectivity to drive our mission forward. Responsibilities Design and develop structured cabling systems, including copper (Cat6/6A) and fiber optic solutions (OM4, OM5, single-mode), for xAI’s data center environments, ensuring compliance with industry standards such as TIA-942 and BICSI. Create detailed optical system architectures, including high-density fiber optic networks (MPO/MTP, LC, DWDM), to support high-bandwidth, low-latency connectivity for AI and GPU clusters. Produce comprehensive design documentation, including schematics, rack elevations, pathway plans, and bills of materials (BOMs), using tools like AutoCAD, Revit, or Visio. Collaborate with network, electrical, and mechanical engineering teams to integrate cabling and optical designs into overall data center layouts, optimizing for power, cooling, and space constraints. Conduct capacity planning to ensure cabling infrastructure supports current and future AI workload demands, including 400G/800G network deployments. Oversee installation, testing, and validation of cabling and optical systems, using tools like OTDR, power meters, and VFL to ensure performance and reliability. Provide technical expertise during procurement, evaluating vendors and selecting cabling components, optical transceivers, and connectivity hardware. Develop and maintain cabling standards, labeling schemes, and documentation processes to ensure consistency across multi-site data center deployments. Support rapid design iterations to meet aggressive project timelines, addressing challenges such as high-density rack configurations and advanced cooling systems (e.g., liquid cooling). Troubleshoot and resolve cabling-related issues during commissioning and operations to ensure minimal downtime for mission-critical systems. Contribute to process improvements and automation initiatives (e.g., Python scripting for design validation) to enhance cabling design workflows. Qualifications Basic Qualifications Bachelor’s degree in Electrical Engineering, Telecommunications Engineering, or a related field; or equivalent professional experience. 3+ years of experience in structured cabling and fiber optic system design, preferably in data center or hyperscale environments. Proficiency in design tools such as AutoCAD, Revit, or Visio for creating detailed schematics and layouts. Strong knowledge of fiber optic technologies, including single-mode, multi-mode, DWDM, and high-density connectivity solutions (MPO/MTP, LC). Familiarity with data center standards (e.g., TIA-942, Uptime Institute) and networking protocols (e.g., Ethernet, InfiniBand). Preferred Qualifications 5+ years of experience in data center cabling design and deployment for hyperscale or cloud provider environments. Experience with AI/HPC infrastructure, GPU cluster connectivity, or liquid-cooled data center designs. Proficiency in scripting or automation tools (e.g., Python, Bash) for design or testing workflows. Certifications such as RCDD (Registered Communications Distribution Designer), DCDC (Data Center Design Consultant), or CFOT (Certified Fiber Optic Technician). Knowledge of network hardware (e.g., NVIDIA, Cisco, Arista) and optical transceivers (QSFP-DD, OSFP). xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice