Find AI Work That Works for You

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Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About the Role:Our mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. As a Product Manager, Edge Computing, you'll be at the forefront of this mission, leading the Cloud product strategy leveraging our Crusoe Spark™ modular AI data centers. You'll work cross-functionally to define the product roadmap, from conception to launch, from hardware configurations to software stack, for our edge computing solutions. Your work will directly enable real-time, low-latency AI applications in industries like public sector, manufacturing, autonomous vehicles, and smart cities, all while using various energy sources. Including sustainables. If you are passionate about the intersection of cutting-edge technology, product innovation, and environmental sustainability, this role is for you.What You'll Be Working On:Define and execute the product vision and strategy for our Edge Computing offerings, based on Crusoe Spark™.Conduct market research, competitive analysis, and customer interviews to identify new opportunities and validate product concepts.Translate product strategy into a detailed roadmap, user stories, and feature requirements.Collaborate with engineering, in-house digital infrastructure and manufacturing, business operations, and go-to-market teams to ensure successful product development andManage the full product lifecycle, from ideation to end-of-life, for hardware and software solutions at the edge.Track and analyze key product metrics to inform decisions and measure the success of our products.Serve as the internal and external evangelist for Crusoe's Edge Computing products, including presenting to customers, partners, and internal stakeholders.What You'll Bring to the Team:5+ years of experience in product management for hardware, software, or platforms in the edge computing, IoT, or cloud infrastructure space.A proven track record of successfully launching and managing B2B technical products from concept to market.Strong technical understanding of edge computing architectures, including hardware (servers, storage, networking), software (containerization, virtualization, control plane as part of a cloud infrastructure), and connectivity.Exceptional communication skills, with the ability to articulate complex technical concepts to a variety of audiences.The ability to thrive in a fast-paced, high-growth startup environment.Experience working with cross-functional teams and managing diverse stakeholder needs.Bonus PointsExperience with AI/ML infrastructure, including training, inference, and MLOps.Prior experience in the energy sector or with sustainable technology.Hands-on experience with hardware design and manufacturing processes.Experience with a cloud provider (AWS, Azure, GCP) and their edge/distributed cloud products, or a deep understanding of cloud-native principles.News:Crusoe introduces Crusoe Spark: Modular AI data centers for scalable edge computing Benefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid commuter benefit; $300 per monthCompensation RangeCompensation will be paid in the range of up to $204,000 -$247,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position prefers presence in our Bay Area office locations, but is open to remote presence for the right candidate.About the JobAs Lambda continues to scale its AI platform and customer base, infrastructure decisions must be tightly aligned with product roadmaps, platform growth, and fiscal discipline. The Systems Operations Engineer will own availability analysis, long-term improvement of utilization, input into strategic design, and implementation of key programs across the entire Infrastructure Stack.This role sits within the Data Center Infrastructure (DC Infra) team and will work cross-functionally with Product, Platform Engineering, and Observability to understand overall health, analyze ongoing/potential issues, make recommendations and changes to our overall design, and ownership of key programs to improve the overall business.This position is a critical link between the HPC/HW systems and DC Infra—and will help ensure our designs and operations most effectively maximize availability and reliability across our entire Platform.What You’ll DoAvailability AnalysisOwn end-to-end unification of availability (number of 9s) calculations across Lambda's data center products and various data center footprints, from the power/BMS/cooling and down into the rack/GPU level, and providing adequate telemetry back to facilities, site operations, and at the platform levelWork with thermal/hardware team to understand AI workload characteristics on mechanical systems and need for different BMS control methodologies as Direct to Liquid Chip (DLC) Cooling technologies improve and densities increaseCoordinate across DC Infra team to calculate estimated availabilities for new data center designsWork with product teams and capacity forecasting to understand how design decisions effecting availability impact time to market and satisfy customer needsUtilization Analysis and Oversubscription StrategyOwn end-to-end utilization analysis across Lambda's entire data center infrastructureAnalyze DC designs to understand peak possible capacity under varying conditionsBuild oversubscription strategy and lead/own company workstream to maximize available MW w/o impacting GPU reliability and customer experienceEnsure appropriate availability considerations are includedObservability and AnalyticsCoordinate with the observability team to ensure appropriate points are monitored to understand data center characteristics loads, especially under AI workloadsHelp the team understand where approximate warning/danger levels areUse observations and warning/danger levels to inform BOD for future Data Centers and suggest upgrades/modifications to current Data CentersDevelop strategy for a data center fleet health dashboardHelp provide structure ensuring overall day-to-day and long-term health can be understood from a 20k foot level with the ability to drill down into the detailsPower Capping Strategy and ImplementationCoordinate with Site Operations team to strategize and build out power capping capabilities, related to worst-case scenario response/protection as we start aggressively employing oversubscriptionIdentify appropriate IT blocks where real-time data is monitoredAnalyze, propose, and implement a rigorous testing process that iteratively finds and eliminates stranded power and cooling capacity related to utilizationSite Selection Technical ReviewConduct end-to-end technical evaluations of prospective data center sites, including power sufficiency and stability, cooling infrastructure and mechanical systems, and network topology feasibilityPerform risk assessments and recommend sites based on infrastructure fit and growth capacity.Coordinate with DC Infra, Legal, and Business Strategy teams to ensure site selections align with workload and deployment timelines.Cluster-to-Facility Requirements AlignmentCollaborate with HPC Architecture team and Capacity Manager to translate cluster-level hardware and workload requirements into facility-level specifications.Define infrastructure interface requirements (power, cooling, rack layouts, interconnects, monitoring) to ensure alignment between compute stack and facility capabilities.Support long-term infrastructure roadmap development to accommodate future hardware designs, density shifts, and workload patterns.Work with Capacity Manager to understand various levers that can be employed to accelerate growth during demand surges.YouSelf-starter with a proven ability to independently dive into the details to understand and solve hard problems across data center infrastructure and operationsAbility to provide world-class analysis, boiling complex issues into the root cause or few key drivers10+ years of experience working in directly in or closely with data center infrastructure and HPC/HW operationsDeep familiarity with AI or compute workload patterns, scaling dynamics, and infrastructure cost driversAbility to synthesize complex technical and business inputs into clear, actionable strategic recommendationsExcellent communication and collaboration skills across technical, operational, and financial stakeholdersPreferred ExperiencePrior experience in hyperscale or cloud infrastructure environmentsFamiliarity with GPU cluster sizing, workload forecasting, or energy-efficient compute architecturesWorking knowledge of typical Data Center Infrastructure designs, topologies, systems and associated reliability/availability calculationsKnowledge of DCIM tools, telemetry systems, or utilization analytics platformsEngineering degree from university, Masters preferred.Experience working across multi-disciplinary and non-technical teams to explain findingsSalary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Anthropic Fellows Program The Anthropic Fellows Program is designed to accelerate AI safety research and foster research talent. The program provides funding and mentorship for cohorts of Fellows to work full-time on AI safety research. The program runs for approximately two months, with opportunities to extend for an additional four months based on progress and performance. Fellows are matched with Anthropic mentors to investigate research questions in areas such as Adversarial Robustness & AI Control, Scalable Oversight, Model Organisms of Misalignment, and Mechanistic Interpretability. We currently run this program on a twice-annual basis, and we aim to expand out the program or run similar efforts over time. The program aims to expand the pool of researchers working at the frontier of AI safety by supporting engineers and researchers with strong coding or technical backgrounds in their transition into safety research. In recent months, our collaborations through Anthropic Fellows and similar programs have led to a majority of our research papers and new hires to our Alignment Science team. About the role As Program Lead for the Anthropic Fellows Program, you will be responsible for designing, iterating on, and scaling the program's operations while ensuring Fellows have the infrastructure and support needed to produce high-impact research. This role combines program management and operational excellence to build one of the premier pipelines for AI safety research and talent development. You'll work closely with senior researchers and operations teams across Anthropic to identify high-impact research projects, coordinate resources, and ensure smooth program execution. This role requires both strategic vision to shape the program's future and tactical excellence to manage day-to-day operations. Please note: We expect this role to be in-person 5 days a week in San Francisco or Berkeley, CA Responsibilities: Program Operations & Management Own end-to-end program execution including timelines, milestones, and deliverables Manage expense and compute tracking/approvals (~$15,000 per month per Fellow for compute and research spending) Set up and coordinate fellows programming, including Q&As, talks, socials, and research discussions Design and iterate on program structure, including performance evaluation criteria for extensions Track and report on program metrics and Fellow progress Recruiting & Talent Pipeline Lead Fellows recruiting efforts including coordinating contractors and liaising with cross-functional stakeholders Develop and execute outreach strategies to attract top technical talent Coordinate application review and selection processes Work with the recruiting team to support placement of successful Fellows into full-time roles at Anthropic and other safety research organizations Research Coordination Collect and curate research project proposals from Anthropic researchers Solicit feedback on proposals and coordinate selection of the best projects Match Fellows with appropriate projects and mentors based on skills and interests Facilitate collaboration between Fellows and with Anthropic mentors across research areas People Support Directly manage a subset of Fellows when needed Coordinate with mentors to ensure Fellows receive appropriate technical and career guidance Support Fellows through research challenges and help navigate open-ended projects Coach Fellows through interpersonal or collaboration-related issues Strategic Initiatives Lead efforts to scale the program by documenting program impact and securing buy-in for additional growth Support broader safety-related TPM initiatives including: Spearheading safety-related collaborations with other organizations, e.g., for auditing the alignment of models Spotting opportunities for internal projects which could be supported with external help, e.g. sourcing and setting up contractors for alignment eval building or generation Recruiting for contracting roles (e.g., paper writing support) Partner with external programs and organizations in the AI safety ecosystem for research and talent sourcing and development What We're Looking For: Required Qualifications Strong project management skills including timeline management, resource allocation, and cross-functional coordination Demonstrated ability to coordinate logistics for events, programs, or initiatives Experience in understanding AI safety research at a high level, or ability to learn to do so Experience in managing complex, multi-stakeholder initiatives, or ability to do so Excellent written and verbal communication skills Preferred Qualifications Program management experience, preferably in research or engineering environments Experience with recruiting, evaluating, and placing technical talent Familiarity with the AI and/or AI safety research landscape and key research agendas Prior experience contributing to or managing projects, especially engineering or research projects Background in machine learning, computer science, or related technical fields Familiarity with machine learning infrastructure and computational research workflows Personal Qualities High agency at identifying new opportunities for impact Strong ability to execute quickly and get stuff done High reliability at execution – ability to consistently understand what needs to happen and execute without errors Ability to handle and track a large volume of diverse tasks Excitement for developing research talent and advancing AI safety and Anthropic’s mission Strong work ethic – ability to do what needs to happen to meet tight deadlines or make ambitious goals happen Great interpersonal skills – ability to be the public face of the program, build relationships across diverse stakeholders, and navigate and advise on interpersonal difficulties between researchers The expected salary range for this position is:Annual Salary:$210,000—$425,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamThe Security Engineering team at Decagon protects the platform that powers the most advanced conversational AI agents for enterprise customers across voice, chat, email and SMS. We build the security foundations that enable Decagon's AI agents to handle sensitive customer data with complete trust while defending against sophisticated, AI-enabled threats at massive scale.Our mission is to secure magical support experiences, ensuring that AI agents and human agents can collaborate safely to help users resolve their issues while maintaining the highest standards of security and privacy.About the RoleLead Decagon's governance, risk, and compliance strategy as we scale our AI platform to serve the world's most security-conscious enterprise customers. You'll be the primary point of contact for customer security requirements, managing everything from contract negotiations to compliance certifications. This role offers the opportunity to build a GRC program that enables rapid sales cycles while maintaining the trust of Fortune 500 companies. You'll work directly with sales, legal, and engineering teams to position Decagon as the security leader in conversational AI.In this role, you willLead customer security engagements by negotiating information security exhibits and contractual requirements with enterprise customers and their legal teams, in collaboration with the legal teamBuild and manage a scalable security questionnaire processDrive compliance certifications including SOC 2 Type II, ISO 27001, PCI DSS, HIPAA, and CCPADevelop and maintain comprehensive security documentation including policies, procedures, and evidence collectionPartner with Sales and Customer Success to accelerate deal velocity by proactively addressing customer security concerns with published contentCollaborate with Security, Engineering, and Product teams to translate compliance requirements into actionable technical controls and ensure new features meet regulatory standardsEstablish vendor risk management programs to assess and monitor third-party security risks across our supply chainCreate reporting on risk posture, compliance status, and security metrics that demonstrate continuous improvementYour background looks something like this3+ years of GRC experience in high-growth SaaS or technology companies, with direct responsibility for compliance programsProven track record successfully completing SOC 2, ISO 27001, or similar enterprise compliance certificationsExpertise in data privacy regulations including CCPA, GDPR, and emerging AI governance frameworksExperience negotiating security terms with Fortune 500 customers and their procurement teamsStrong project management skills with ability to coordinate cross-functional teams under tight deadlinesExcellent written and verbal communication skills to translate complex security concepts for diverse audiencesWorking knowledge of technical security controls and ability to collaborate effectively with engineering teamsEven betterExperience with AI/ML compliance frameworks and understanding of unique risks in conversational AI systemsBackground in healthcare or financial services with deep knowledge of HIPAA or PCI requirementsTrack record of building GRC programs at companies scaling from startup to enterpriseExperience with GRC platforms like Vanta, Drata, or SecureFrame to automate compliance workflowsUnderstanding of cloud security particularly Google Cloud Platform compliance and security featuresBenefits:Medical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$180K – $250K + Offers Equity

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Want to use your engineering skills to make an impact? AI is the new electricity. Founded by AI visionary Andrew Ng, DeepLearning.AI is on a mission to empower everyone to build with AI. AI builders are needed across the world to transform industries with AI,  and we’re creating the products to enable them.  We’re looking for our next FullStack Engineer who brings together a foundation in development and a passion for building. As a FullStack Engineer Engineer, you will be responsible for building and delivering scalable, secure, and enterprise-grade learning experiences. We’re looking for a self-starter, who not only writes great code, but also brings together ideas and design sensibility, and can translate them into new features and intuitive user interfaces. You should have a deep understanding of user-centered design principles and enterprise product needs, including performance, compliance, and interoperability. You’ll be highly GenAI-enabled, leveraging AI-powered coding and design tools to accelerate development and deliver innovation at scale. In this role, you will help us rapidly prototype, iterate, and ship features that meet the demands of organizations and drive measurable business impact. You’ll be involved in the early stages of product development, working closely with the Product team to help identify, scope, and develop new features to improve the user experience and deepen the value of our products.  Here’s what you’ll do:Implement LMS integrations to extend platform interoperability.Build data reporting and dashboards to track learner and program performance.Develop user management and admin features for organizations and learners.Ensure privacy, accessibility, and information security compliance across all features.Design B2B platform features, such as co-branded landing pages, organizational leaderboards and social features, localization, custom programs, and curated catalogs.Maintain and evolve the marketing website to support growth and awareness.Act as a dedicated resource for timely bug fixes and platform reliability.Build self-serve signup and onboarding flows for smaller teams and organizations. Here are the skills you should have:Broad and solid CS foundation knowledge, including data structures & algorithms, operating systems, computer networks, and databases.At least 3+ years of software development experience, with proven end-to-end project delivery.Strong ability to convert ideas into running code efficiently.Frontend: Familiarity with technologies such as React.js, Next.js, Typescript, tRPC, and Tailwind.Backend: Familiarity  with the Python ecosystem (Linux, SQL, Django, FastAPI), APIs (REST, GraphQL).Proficiency with Docker and microservice architecture design.Familiarity with Test-Driven Development (TDD). Strong understanding of security concerns and best practices.A bachelor’s degree in CS or related technical field.Excellent communicator and team player with strong English language skills if not a native speaker yourself.Technical familiarity with machine learning, particularly using LLM APIs and frameworks beyond basic prompting - including tool calling, agentic workflows, RAG, and popular ML frameworks.High fluency/familiarity with tools such as Claude Code, Cursor, Windsurf or Cline.A keen interest in the Artificial Intelligence domain. Bonus if you have:Deep technical expertise in specific LLM applications such as finetuning, complex agentic systems, or production RAG implementations.Familiarity with Next.js App Router and deployment on Vercel.Experience with headless CMS architectures, API integrations, and performance optimization.Experience with Python ecosystem tooling beyond web frameworks (data, ML integrations, etc.).

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Want to use your engineering and design skills to make an impact? AI is the new electricity. Founded by AI visionary Andrew Ng, DeepLearning.AI is on a mission to empower everyone to build with AI. AI builders are needed across the world to transform industries with AI,  and we’re creating the products to enable them.  We’re looking for our next Design Engineer/Prototyper who brings together a foundation in development with design sensibilities, and a passion for building. As a Design Engineer, you will be responsible for building and delivering high-quality, visually polished learner experiences. We’re looking for a self-starter, who not only writes great code, but also brings together ideas and design sensibility, and can translate them into new features and intuitive user interfaces. You should have  a deep understanding of user-centered design principles, and will be highly GenAI-enabled, leveraging AI coding and design tools to speed up and improve work. You  will help us rapidly prototype, iterate, and ship high quality features and experiences. You’ll be involved in the early stages of product development, working closely with the Product team to help identify, scope, and develop new features to improve the user experience and deepen the value of our products. Here’s what you’ll do:Prototype in code, test, and launch new features and products.Help develop a user-centered platform that delivers the best experience in learning and building with AI.Tackle complex user interaction problems and design effective solutions.Create UI interface and interaction flows for a learner-centered design.Contribute to a high-quality code base, and support it with clear documentation.Stay current with the latest AI technology and explore how it can improve the learner experience. Here are the skills you should have:Familiarity with AI assisted coding, and high fluency with tools such as Claude Code, Cursor, or Windsurf, design tools including Figma, and rapid prototyping tools like v0 and Replit.Familiarity with React.js, Next.js, TypeScript, and CSS (experience with Tailwind preferred).A track record in both development and design, with a portfolio of work.Strong grasp of user-centered design principles.Strong problem-solving skills and attention to detail.Excellent communication and collaboration skills.A genuine interest in Artificial Intelligence technologies. Bonus if you have:Experience leading design projects and collaborating cross-functionally.An innovative mindset and drive to continually build products with excellent user experience.A passion for AI and technology, and a desire to work in a fast-paced environment.

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About Freight Hero:The freight brokerage industry has exploded in recent years, growing from a mere 6% to over 20% of US truck freight in just a decade, now valued at $21 billion. Freight brokers typically allocate up to 90% of their time to operational back-office tasks, leaving only 10% for revenue-generating activities (depending on the business model). By combining AI with human oversight, we can streamline these back-office processes, driving significant operational efficiencies. The industry's profit margins have recently contracted from 20% to 5%, underscoring the critical need for cost reduction. We believe that the perfect storm of industry challenges and AI maturity presents a venture scale opportunity to revolutionize the freight brokerage sector and the broader freight/supply chain industry. Freight Hero is funded and supported by AI Fund based in Palo Alto, California. AI Fund is a team of diligent innovators who build great companies that move humanity forward by accelerating the adoption of AI. Founded by Dr. Andrew Ng, AI Fund is a startup studio focused on resolving problems to move the world forward. We build new AI companies to bridge AI technology and critical applications. Just as electricity transformed numerous industries, AI and AI Fund are poised to do the same.  What We Seek: We are looking for an AI Engineer to  the development and evolution of Freight Hero’s core AI capabilities. You will work directly with the CEO to design a strategic roadmap for integrating AI into our platform—empowering human agents, automating complex workflows, and enhancing operational efficiency across the freight brokerage lifecycle. As the owner of our AI stack, you will make critical architectural decisions, experiment with cutting-edge tools, and iteratively improve our systems for real-world logistics execution. Tech Stack: At Freight Hero, we work with a pragmatic mix of open-source frameworks and cloud-native services. You don’t need experience with every tool, but familiarity with several of the following is a plus: - Languages & Frameworks: Python, VSCode/Cursor- Cloud Infrastructure: AWS, GCP, Terraform for IaC- API stack: Pydantic, FastAPI, Uvicorn/Gunicorn- Datastores: PostgreSQL/Aurora, DynamoDB, S3, AWS OpenSearch- Serverless & Events: AWS Lambda, EventBridge, SQS- Testing & Quality: Pytest, Scenarios- Observability: OpenTelemetry,  CloudWatch,  Celery Flower. - Containers & Deploy: ECS,  ECR, Docker Compose- LLM Dev Tooling: LangChain, LangGraph, LangSmith, LangWatch- CI/CD: GitHub Actions What You Will Be Doing:Own the AI Stack – Lead the architecture, development, and continual refinement of Freight Hero’s AI capabilities, including data pipelines, model training, and real-time inference systems.Define the Strategic Vision – Establish the long-term roadmap for how AI can augment or automate broker workflows, from task automation to predictive analytics and agentic systems.Build and deploy AI-powered systems and tools—from internal operator assistants (e.g. summarization, internal copilots) to task-oriented agents (e.g. workflow routing, escalation flows) and real-time voice interfaces for interacting with external stakeholders. Leverage foundational models, fine-tuned LLMs, and open-source frameworks to support high-volume, high-reliability logistics use cases.Prototype, Validate, and Iterate – Rapidly develop MVPs, conduct real-world pilots, gather feedback, and fine-tune models and flows for reliability, and compliance with industry norms.Optimize for Human-in-the-Loop Performance – Design workflows that integrate seamlessly with Freight Hero’s augmented operations team, empowering human agents while offloading repetitive tasks.Integrate with the Freight Ecosystem – Ensure your AI systems communicate effectively with TMS platforms, VOIP systems, CRMs, and broker operations tools, creating a seamless data and workflow layer.Build for Scale and Resilience – Architect scalable, cloud-native infrastructure that can handle concurrent sessions and asynchronous callbacks in real time.Collaborate Cross-Functionally – Work alongside operations, product, and engineering to align AI capabilities with business goals, SLA requirements, and user experience priorities.Stay Ahead of the Curve – Constantly evaluate advancements in AI, machine learning tooling, and infrastructure to keep Freight Hero on the cutting edge. What You Must Bring:English Proficiency – Strong written and verbal English communication skills required.LLM & Agentic Workflow Experience – Deep understanding of agentic workflow orchestration, prompt engineering, memory handling, and multi-turn conversation design using open-source or commercial stacks.Experience building AI-powered productivity tools—such as internal copilots, summarization services, or operator-facing assistants that integrate into daily workflows.Product Ownership Mindset – Ability to define what to build and why, balancing technical feasibility with operational impact and end-user delight.Startup Grit – Experience building from scratch in early-stage or high-velocity environments; you’re comfortable wearing multiple hats and moving fast.System Design & Infrastructure – Proficient in designing scalable systems that integrate securely with cloud platforms (e.g., AWS, GCP, Azure) and internal operations tools.Human-Centric Automation – Passion for blending AI with human judgment—designing systems that enhance rather than replace frontline workers.Cross-Functional Collaboration – Strong communication skills and a bias toward action when aligning with business stakeholders and operations teams. Nice To Haves Include:Machine Learning Expertise – Hands-on experience with a variety of machine learning domains (e.g., natural language processing, predictive modeling, or computer vision).MLOps Experience – Prior experience with MLOps frameworks or building production-grade machine learning pipelines.Freight/Logistics Domain Familiarity – Prior experience or demonstrated interest in freight, logistics, or back-office automation.

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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. San Francisco, CA Perplexity is building the next generation answer engine that helps millions of people find information more effectively. We're looking for an AI Interaction Designer to craft conversations that are clear, helpful, and genuinely useful. What You'll Do You'll design how our AI communicates with users, transforming complex queries into clear, actionable responses. This is conversation design at scale—creating the communication patterns that millions of people rely on every day. This role involves: Building evaluation systems that maintain quality as we scale Creating feedback loops between user needs and AI improvements Collaborating with researchers, product teams, and engineers across the company What We're Looking For Exceptional Taste You have an intuitive sense of what makes communication work. You can spot the difference between a good response and a great one, and you know how to make it better. Technical Fluency You don't need to be a researcher, but you can hold your own with our technical teams. You're comfortable with Python, understand how language models work, and can implement your ideas through code. You naturally think about how individual improvements can scale across thousands or millions of interactions. You've built processes that work at scale before. Curiosity and Drive You're someone who elevates everyone around them. You have high standards but bring people along rather than leaving them behind. You're fascinated by how people naturally communicate and how technology can serve them better. Qualifications: Demonstrated passion for AI and can share specific prompt engineering and chaining projects you're proud of Background in data science, philosophy, psychology, linguistics, data science, or related fields Familiar with Python and running simple scripts High-level understanding of LLMs, training, RL Excellent communication skills, particularly in teaching complex concepts Creative problem-solving abilities with a "hacker spirit" for solving puzzles   Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

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About the TeamThe AI Adoption & Deployment team ensures the successful post-sales deployment and value realization of ChatGPT Enterprise and other OpenAI products for customers across industries. AI Deployment Managers collaborate closely with Sales, Technical Success, and Product teams to deliver exceptional AI experiences and measurable business results. Our customers include large enterprises, startups, and digital native organizations. As an AI Deployment Manager, you’ll help companies transform their business by adopting solutions that make use of our newest, most exciting models.About the RoleWe are seeking an AI Deployment Manager to lead time-bound strategic implementations and drive adoption and value of ChatGPT Enterprise. You will be responsible for understanding our customer’s needs and delivering an excellent experience. Success will be measured by customer activation and adoption, live production deployments, and customer satisfaction. You will partner with Sales, Solutions Engineering, Solutions Architecture, and Product teams.This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Deliver exceptional customer outcomes, as demonstrated by production customer deployments, increased adoption, and customer satisfaction.Define and manage structured, time-bound onboarding and deployment projects across multiple OpenAI products to ensure seamless adoption and measurable success.Guide organizations through the adoption journey by providing change management expertise to maximize the impact of OpenAI solutions.Train, educate and enable ChatGPT Enterprise users to drive adoption and value.Own the technical deployment of ChatGPT, including connectors, Codex, custom GPTs, and other advanced capabilities.Design and lead hackathons, workshops, and other hands on training and education for audiences ranging from senior executives to working teams.Codify best practices and playbooks based on interactions with customers.Gather and relay customer feedback to internal stakeholders, and identify themes across customers to incorporate into product planning.Partner with the Sales team to ensure seamless handoff between pre- and post-sale and for ongoing relationship management.You’ll thrive in this role if you:Have 6+ years of experience in customer-facing roles, engaging C-level technical audiences with complex global organizations.Have led complex implementations of Generative AI/traditional ML solutions and can drive measurable business outcomes.Possess exceptional presentation and communication skills, particularly when engaging with executives and leaders.Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed.Operate with high horsepower, have strong problem-solving skills, are adept at frequent context switching, effectively manage working on multiple projects at once with expansive ownership, and ruthlessly prioritize.Have a solid track record of delivering and scaling an exceptional customer experience.Are personally committed to fostering the safe and ethical evolution of AI.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.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About Us:webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.About the Role:As a Senior or Principal Product Manager for our Platform, you will be a key driver behind the services and infrastructure that form the backbone of webAI. You will own the strategy and execution for core areas of our platform, focusing on creating world-class developer experiences, scaling our systems, and ensuring our platform is reliable, secure, and compliant. This is a senior individual contributor role where you will lead complex, high-impact initiatives, working cross-functionally to deliver infrastructure that empowers our engineers, data scientists, and product teams to build securely and at speed.Key ResponsibilitiesDevelop and execute the product strategy and roadmap for key platform domains, such as APIs, developer tooling, identity and access management, and core services, ensuring alignment with the company's strategic goals.Collaborate closely with AI/ML teams to understand their needs and deliver the underlying platform infrastructure required for efficient model training, deployment, monitoring, and governance.Own the end-to-end product lifecycle for foundational platform areas. This includes gathering requirements from internal customers, writing detailed product specifications, prioritizing backlogs, and working hand-in-hand with engineering teams to ship high-quality products.Act as a key product leader and bridge between Engineering, AI/ML, Security, Data, and other product teams to ensure platform initiatives are tightly aligned with organizational needs and technical realities.Mentor other product managers and lead by influence, driving alignment and execution across multiple engineering squads and stakeholder groups without direct authority.Define and analyze metrics that measure the success of platform products. Clearly communicate your product's performance, value, and impact to stakeholders and leadership.Requirements & Skills7+ years of product management experience, with at least 4+ years focused on technical, platform, or infrastructure products.Demonstrated success in shipping and scaling secure, reliable platforms that power customer-facing products, preferably in an AI or fintech environment.Deep understanding of developer platforms, modern software architecture (e.g., microservices, APIs), data infrastructure, and cloud environments (e.g., AWS, GCP).Strong familiarity with the AI/ML product development lifecycle, model infrastructure, and MLOps principles.Exceptional ability to lead through influence, drive consensus among senior engineers and stakeholders, and clearly communicate complex technical concepts to both technical and non-technical audiences.A product mindset balanced with strong technical fluency and a bias for action.Preferred (but not required)Understanding of DORA metrics to track engineering efficiency, guide platform strategy, and demonstrate the impact of developer productivity initiativesExposure to LLM infrastructure, prompt orchestration, or AI agent frameworks.Familiarity with p2p network, blockchain or similar technologies.Background in enterprise SaaS, devtools, or platform-as-a-product strategy.Working knowledge of compliance environments and data privacy regulations (SOC 2, PCI DSS, GDPR, etc.). We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.401k Match (US-based only)$200/mos Health and Wellness Stipend$400/year Continuing Education Credit$500/year Function Health subscription (US-based only)Free parking, for in-office employeesUnlimited Approved PTOParental Leave for Eligible EmployeesSupplemental Life Insurance webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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ABOUT BASETENBaseten provides the infrastructure, tooling, and expertise needed to bring great AI products to market - fast. Backed by top investors including IVP, Spark Capital, Greylock, and Conviction, we’re trusted by leading AI-driven innovators like Writer, Abridge, Bland, Patreon, Descript, Retool, and Zed to deliver industry-leading performance, security, and reliability for their mission-critical workloads. With our recent $75M Series C funding, we’re growing fast to make AI accessible across all products.THE ROLEAs a Senior Software Engineer – Model Training at Baseten, you’ll be at the forefront of building the infrastructure that powers large-scale training and fine-tuning of foundation models. You’ll design and implement distributed training systems, optimize GPU utilization, and create scalable pipelines that enable Baseten and our customers to adapt models efficiently and reliably. This role is highly technical and hands-on: you’ll own key components of our training stack, collaborate with product and infra teams to surface customer needs, and push forward the state of the art in scalable training infrastructure.RESPONSIBILITIESDesign, build, and maintain distributed training infrastructure for large-scale foundation modelsImplement scalable pipelines for fine-tuning and training across heterogeneous GPU/accelerator clustersOptimize training performance through techniques like FSDP, DDP, ZeRO, and mixed precision trainingContribute to frameworks and tooling that make training workflows efficient, reproducible, and developer-friendlyCollaborate with cross-functional teams (Product, Forward Deployed Engineering, Inference Infra) to ensure training systems meet real-world requirementsResearch and apply emerging techniques in training efficiency and model adaptation, and productionize them in the Baseten platformParticipate in code reviews, system design discussions, and technical deep dives to maintain a high engineering barREQUIREMENTSBachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience4+ years of experience in software engineering with a focus on ML infrastructure, distributed systems, or ML platform engineeringHands-on expertise in distributed training frameworks (FSDP, DDP, ZeRO, or similar) and ML frameworks (PyTorch, Transformers, Lightning, TRL)Strong understanding of GPU/accelerator performance optimization and scaling techniquesExperience designing and operating large-scale systems in production (cloud-native preferred)Excellent problem-solving and communication skills, with the ability to work across infrastructure and ML boundariesNICE TO HAVEExperience building APIs, SDKs, or developer tools for ML workflowsFamiliarity with cluster management and scheduling (Kubernetes, Ray, Slurm, etc.)Knowledge of parameter-efficient fine-tuning methods (LoRA, QLoRA) and evaluation pipelinesContributions to open-source distributed training or ML infra projectsExperience with cloud environments (AWS, GCP, Azure) and container orchestrationBENEFITSCompetitive compensation package.This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.An inclusive and supportive work culture that fosters learning and growth.Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

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ABOUT BASETENBaseten provides the infrastructure, tooling, and expertise needed to bring great AI products to market - fast. Backed by top investors including IVP, Spark Capital, Greylock, and Conviction, we’re trusted by leading AI-driven innovators like Writer, Abridge, Bland, Patreon, Descript, Retool, and Zed to deliver industry-leading performance, security, and reliability for their mission-critical workloads. With our recent $75M Series C funding, we’re growing fast to make AI accessible across all products.THE ROLEAs a Tech Lead Manager of the Training team at Baseten, you’ll lead a team of engineers building the core systems that power large-scale training and fine-tuning of foundation models. Your team will be responsible for designing scalable, reliable, and efficient infrastructure - covering distributed training frameworks, GPU scheduling, and training pipelines—enabling both Baseten and our customers to train and adapt models at scale. You’ll balance hands-on technical contributions with people management, setting the technical direction while fostering the growth and success of your team. You’ll also play a key role in defining Baseten’s platform roadmap by identifying common infrastructure needs and turning them into reusable, self-serve capabilities.RESPONSIBILITIESLead, mentor, and grow a team of engineers building Baseten’s training infrastructureDefine and drive the technical strategy for large-scale training systems, with a focus on scalability, reliability, and efficiencyArchitect and optimize distributed training pipelines across heterogeneous GPU/accelerator environmentsBalance hands-on contributions (system design, code reviews, prototyping) with people leadership and career developmentEstablish best practices for training workflows, distributed systems design, and high-performance model evaluationCollaborate with Product and Platform Engineering to translate customer and internal needs into reusable infrastructure and APIsDevelop processes that ensure consistent, reliable, and on-time delivery of high-quality systemsStay ahead of the curve on advancements in training efficiency (FSDP, ZeRO, parameter-efficient training, hardware-aware scheduling) and bring them into productionREQUIREMENTSBachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience5+ years of experience in ML infrastructure, distributed systems, or ML platform engineering, including 2+ years in a tech lead or manager roleStrong expertise in distributed training frameworks and orchestration (FSDP, DDP, ZeRO, Ray, Kubernetes, Slurm, or similar)Hands-on experience building or scaling training infrastructure for LLMs or other foundation modelsDeep understanding of GPU/accelerator hardware utilization, mixed precision training, and scaling efficiencyProven ability to lead and mentor technical teams while delivering complex infrastructure projectsExcellent communication skills, with the ability to bridge technical depth and business needsNICE TO HAVEExperience with multi-tenant, production-grade ML platformsFamiliarity with cluster management, GPU scheduling, or elastic resource scalingKnowledge of advanced model adaptation techniques (LoRA, QLoRA, RLHF, DPO)Contributions to open-source distributed training or ML infrastructure projectsExperience building developer-friendly APIs or SDKs for ML workflowsCloud-native infrastructure experience (AWS, GCP, Azure, containerization, orchestration)BENEFITSCompetitive compensation package.This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.An inclusive and supportive work culture that fosters learning and growth.Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

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Ironclad is the leading AI-powered contract lifecycle management platform, processing billions of contracts every year. Every business is powered by contracts, but managing them can slow companies down and cost millions of dollars. Global innovators like L’Oréal, OpenAI, and Salesforce trust Ironclad to transform contracting into a strategic advantage - accelerating revenue, reducing risk, and driving efficiency. It’s the only platform that manages every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA. We’re building the future of intelligent contracting and writing the narrative for how contracts unlock strategic growth. Forrester Wave and Gartner Magic Quadrant have consistently recognized Ironclad as a leader in our category. We’ve also been named one of Fortune’s Great Places to Work six years running, featured on Glassdoor’s Best Places to Work, and recognized by Forbes’ 50 Most Promising AI Companies. We’re backed by leading investors like Accel, Sequoia, Y Combinator, and BOND. We’d love for you to join us! What You Will Be DoingBuild, lead, and mentor a high-performing SETS team in the EMEA market.Foster a collaborative and innovative team culture that’s positive, motivating, and performance-driven.Serve as a subject matter expert in supporting the sales team throughout the sales cycle, ensuring technical alignment with customer needs.Work closely with Customer Outcomes leadership to understand business goals and contribute to strategies for establishing and growing customer value realization on the Ironclad platform.Collaborate closely with your peer SETS managers to align on shared strategies, operating models and career paths for the team.Work closely with Sales leadership to understand deal support needs for the different segments in the region, and establish effective support for deal cycles with the SE and EA members of the team.Empower your team with scalable systems and repeatable processes to increase their skills, product knowledge, industry knowledge and professional habits.Track and report key growth metrics to assess individual and team performance, and find innovative and creative ways to improve and increase performance.Collaborate with cross-functional teams to align SETS efforts with overall business objectives and company priorities.Foster strong collaboration with other departments, including Product Management, Engineering, and Marketing, to drive a unified customer experience.Bring actionable insights back to Ironclad’s Product Team to help us evolve our platform.Help Ironclad scale through external and internal education and enablement efforts. Share your knowledge!Key Skills1-3 years of experience leading a solution engineering/architecture team in the Enterprise space, preferably in a B2B SaaS setting.Experience hiring, motivating, and developing a team.Proven track record of successfully supporting large deal cycles in enterprise sales.Strong understanding of Contract Lifecycle Management software, Customer Relationship Management software, Vendor Relationship Management software, Integration software and APIs.Strong ability to work with technical and non-technical teams, and ability to translate technical concepts into business value.Excellent communication and presentation skills.Strong listening and ability to understand customers' needs. You think outside the box to solve their challenges and deliver a solution that will drive value for the customer.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleAs a Senior Product Marketer at Abridge, you’ll lead go-to-market campaigns and equip our commercial teams to convert pipeline and expand accounts. You’ll craft clear messaging and positioning for new features—specifically showcasing how we’re extending the value of ambiently captured clinical conversations into revenue cycle management.What You’ll DoMessaging and StorytellingDevelop messaging and audience insights that drive awareness, activation, and adoption of Abridge’s core productsCreate market-making moments and bring together Growth, Sales, and Partner Success to run campaigns that build consideration and differentiationCraft compelling product narratives, differentiated positioning, and resonant messagesBuild personas for key segments and buyer roles within RCMLaunch Campaigns and Commercial EnablementLead product launches and marketing moments to generate pipeline and grow adoptionProduce assets across formats: sales enablement, lifecycle campaigns, blog posts, event keynotes, and moreBuild a marketing roadmap with Product for current and future RCM features, announcing updates at the right cadence for each audienceManage the monthly release cycle for upcoming RCM features with the product marketing teamWhat You’ll Bring7–10+ years of professional experience (or equivalent)At least 6 years in product marketing at a health tech company serving B2B audiencesBonus Points If…Experience marketing enterprise healthcare software to revenue cycle leaders (e.g., ICD-10/HCC code capture, prior authorization, risk adjustment)Experience marketing AI productsA track record of crisp positioning and messagingAbility to distill complex concepts into clear, relatable writingSkill in communicating strategy, driving deliverables, and motivating cross-functional teamsProven success in fast-paced environments, with strong prioritization and project management across tight deadlinesWe are in-person at least 3 days a week. To be considered, candidates must be within commutable distance of or open to relocation to either our San Francisco or New York City locations.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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P-1455 Job Description At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. About the Team The Backline Engineering Team serves as the critical bridge between Engineering and Frontline Support. We handle complex technical issues and escalations across the Apache Spark™ ecosystem and the Databricks Platform stack. With a strong focus on customer success, we are committed to delivering exceptional customer satisfaction by providing deep technical expertise, proactive issue resolution, and continuous improvements to the platform. We emphasize automation and tooling to enhance troubleshooting efficiency, reduce manual efforts, and improve the overall supportability of the platform. By developing smart solutions and streamlining workflows, we drive operational excellence and ensure a seamless experience for both customers and internal teams. The impact you will have Hire and develop top talent to build an outstanding team. Mentor engineers, provide clear feedback, and develop future leaders in the team. Establish and maintain high standards in troubleshooting, automation, and tooling to improve efficiency. Work closely with Engineering to enhance observability, debugging tools, and automation, reducing escalations. Collaborate with Frontline Support, Engineering, and Product teams to improve customer escalations and support processes. Define a long-term roadmap for Backline, focusing on automation, tool development, bug fixing and proactive issue resolution. Take ownership of high-impact customer escalations by leading critical incident response during Databricks runtime outages and major incidents. Participate in weekday and weekend on-call rotations, ensuring fast and effective resolution of urgent issues. Balance real-time escalations with day-to-day planning, and multitasking efficiently to drive operational excellence and provide top-tier support for mission-critical customer environments. What We Look For: 10-12 years of experience in Big Data/Data warehousing eco-system with  expertise on Apache Spark™, with at least 4+ years in a managerial role. Proven ability to manage and mentor a team of Backline Engineers, guiding career development Strong technical expertise in Apache Spark™, Databricks Runtime, Delta Lake, Hadoop, and cloud platforms (AWS, Azure, GCP) to troubleshoot complex customer issues. Ability to oversee and drive customer escalations, ensuring seamless coordination between Frontline Support and  Backline Engineering. Experience in designing and developing best practices, runbooks/playbooks, and enablement programs to improve troubleshooting efficiency. Strong automation mindset, identifying tooling and process gaps, and leading efforts to build scripts and automated tools to enhance support operations. Skilled in collaborating with Engineering and Product Management teams, contributing to support readiness programs and shaping product supportability improvements. Experience in building monitoring and alerting mechanisms, proactively identifying long-running cases and driving early intervention. Ability to handle critical technical escalations, providing deep expertise in architecture, best practices, product functionality, performance tuning, and cloud operations. Strong interviewing and hiring capabilities, identifying and recruiting top Backline talent with expertise in big data and cloud ecosystems. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Who we are:TrustLab deploys custom LLMs as part of its AI solution for Enterprise customers. We’re a fast-moving, venture-backed startup founded by senior leaders from Google, YouTube, TikTok, and Reddit, creating solutions for online safety, reputation and risk management. Our approach for human-in-the-loop AI solutions for content understanding is industry leading as a technology and business solution. We are looking for experienced and creative engineers to help us push the boundaries with emerging LLM technology applications, and leadership to deploy and scale our technology for customer use cases at scale.What you’ll do: At TrustLab, your work won’t live in theory - it will power live systems used at large scale. You’ll develop, tune, and optimize LLM-driven solutions that interpret and reason about complex digital content, while experimenting rapidly from design to deployment and seeing immediate feedback from real-world use cases. Partnering closely with other engineers, researchers, and product leaders, you’ll pioneer new approaches to model training and evaluation, taking ownership from early R&D through to production launches, and ensuring your work directly shapes how millions of people experience AI-powered content.Key Responsibilities:Train, evaluate, and monitor new and improved LLMs and other algorithmic modelsTest and deploy content moderation models in production, and iterate based on real-world performance metrics and feedback loops.Develop medium to long-term vision for content understanding-related R&D, working with management, product, policy & operations, and engineering teams.Take ownership of results delivered to customers, pushing for change in approach where needed and taking the lead on cross-functional execution.What we’re looking for:Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Ph.D. is a plus. Proficiency in Python. Experience with AWS and CI/CD processes & tools is a strong plus.Experience with prompt-engineering techniques and familiarity with multiple LLM providers.Several years of industry experience in NLP / Computer Vision, or making LLM’s work in production for non-trivial use cases, incl. strong familiarity with evaluation metrics for classification tasks and best practices for handling imbalanced datasets.Hands-on experience with debugging issues in production environments, especially on AWS.Impressive track record delivering results under time and resource pressureWhy Join Us?Work with a group of renown industry leaders in AI and Online Safety to shape the future of the industry.Ample opportunity and support for growth, as a technical individual contributor, or manager.Apply AI technology to real-world business use cases at a significant scale, with blue chip customersWork as part of a team where you can know everyone, but don’t have to do everyone’s job.Competitive compensation, comprehensive benefits, and hybrid in-office policy.Pay range is specific to the U.S. – Bay Area; compensation may differ by region.The pay range for this role is:150,000.00 - 250,000.00 USD per year (Palo Alto)

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YOUR MISSION: We are looking for a highly motivated and tech-savvy Working Student (f/m/d)* to join our Marketing Operations team. You will play a key role in supporting our digital marketing efforts – from building landing pages in Storyblok CMS, to crafting engaging emails in Hubspot, and driving AI-driven optimizations across our processes.If you’re passionate about marketing, curious about AI, and excited to work in a fast-paced tech environment, we’d love to hear from you!   IN THIS ROLE YOU WILL: Website & CMS: Create, maintain, and optimize landing pages using Storyblok CMS Collaborate with design and content teams to ensure pages are user-friendly, visually appealing, and on-brand Email Marketing: Build and schedule marketing emails using Hubspot Support campaign execution, A/B testing, and performance tracking AI & Process Optimization: Research and propose AI-driven enhancements to existing marketing processes Support implementation of tools and automation initiatives that boost team efficiency Our Marketing Tech-stack: Notion, Adobe, Hubspot, Asana   WHAT YOU BRING TO THE TABLE: You are enrolled in a university program in Marketing, Business, Communication, or a related field You have a strong interest in digital marketing and AI technology You are a fast learner who is curious, proactive, and excited to try out new tools Experience with Storyblok, Hubspot, or other CMS/marketing automation tools is a big plus (but not a must) You are detail-oriented and have strong organizational and communication skills You speak and write fluent English and German (additional languages are a plus) WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Weekly sponsored office lunches, Sports membership, regular team events, game nights, and other social activities. Work from a home and/or our beautiful office(s) in the heart of Berlin or Munich with adjustable desks, social areas, fresh fruits, cereals, and drinks.   Your recruiting process at Parloa: Hiring Manager Interview → VP Marketing Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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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.This role is working EST hours Monday - Friday, 4:00pm - 1:00am SASTAbout this roleThis role is part of our Legal Team with the aim to expand the scope into Legal Engineering and Implementation in the future. Initially, it will involve working directly with investment teams at some of the world’s largest private equity and debt funds, financial institutions and corporates as they explore transaction opportunities. As an experienced legal professional, you will have responsibility for reviewing and negotiating a suite of certain contracts. In addition, Robin offers fantastic opportunities for personal career development in a variety of areas alongside traditional legal work.This role will suit an experienced legal professional (whether a qualified solicitor or paralegal) who might be considering a position within a legal team at an investment bank, fund, asset management company or alternative legal service provider, focusing on contract review. At Robin we are proud to call a large number of these institutions our clients, and our core transactional work covers many of the same areas and document types – but we work in a much more modern, creative and flexible way! #LI-SA1What you'll doReviewing and negotiating contracts such as confidentiality agreements, engagement letters and release letters, using a combination of Robin’s AI technology and your own legal experience.Once the team is further established, reviewing the work of junior team members and assisting with their professional development and ongoing training (all of which will also be available to you).Testing Robin’s technology products and feeding back issues, bugs and areas for improvement to our engineering and machine learning teams.To carry out any other duties as may reasonably be requiredQualificationsYou will have at least 3+ years’ experience drafting, reviewing and negotiating the core transactional documents regularly encountered by our clients (including confidentiality agreements, engagement letters and release letters). You will have previously worked with private equity, asset management or hedge fund clients, whether in-house, at a service provider or at a law firm, and will understand typical fund transaction structures and timelines.You will enjoy taking the initiative and seeking answers to interesting practical and legal issues. You will be both technical and commercial, both in the practice of law and outside of it. Last (but certainly not least), you will be motivated by working in a fast-paced, diverse and intellectually challenging environment where collaboration between lawyers and non-lawyers is essential to achieving results.What’s in it for youSalary: CompetitiveEquity package: Generous equity scheme - everyone gets to be an owner of Robin AI!Annual leave: 20 days PTO, in addition to the public holidays observed in the South Africa.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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  The Company You’ll Join  Amperon is a technology company at the intersection of energy data and AI. Specializing in data management infrastructure, coherent AI/ML models, and leading-edge predictive analytics, Amperon helps the full spectrum of power and utility companies to improve grid reliability, optimize asset economics, and accelerate decarbonization. With a commitment to grid modernization and decarbonization, Amperon is the forecasting company of the energy transition.  We bring the brightest minds from energy, security and technology in order to combat climate change and transition to clean energy solutions. We have an office in Houston, TX but are a remote-first company.    Our Strategy  Amperon seeks to modernize the grid data and AI software stack to improve reliability, optimize asset economics, and accelerate decarbonization for grid operators, asset owners, and end-users. We're building the next generation of market-leading energy analytics and forecasting products, and we want you to be part of our journey!    About The Role  We use machine learning and data analytics to analyze large volumes of data, uncover patterns, and make predictions that can be invaluable in the energy sector. Our team manages deep and valuable data around energy supply and demand that can lead to more efficient and sustainable energy systems. We are a small growing team with the opportunity to build high-velocity machine learning from scratch.    You’ll be  Implementing data validation and cleaning processes to identify and rectify errors or inconsistencies in the incoming data.  Building advanced time series forecasting models at scale.  Creating relevant features that can improve forecasting accuracy, such as lag features, rolling statistics, and domain-specific variables.  Continuously monitoring the training process and evaluating model performance on the validation set.  Deploying well-performing models into a production environment.  Analyzing historical data and real-time information to determine changes in energy consumption.    We Think This Role Would Be A Great Fit If You Have  Senior-level expertise with building machine learning algorithms.   Extensive experience with data collection and data processing.   Experience with techniques like data cleaning, normalization, and feature engineering to prepare the data for modeling.   Experience with time series analysis and predictive modeling. Experience with Python and other modeling tools.    Benefits & Perks  While we are serious about our company's culture, we aren't going to force "culture" to prove that we are cool and fun. It’s a company filled with smart, genuinely nice individuals who are passionate about data science, energy and working together to build a product that can have a lasting impact on our planet.  Even though we are a remote company with employees spread across the globe, we still believe human interaction is a good thing. We will also have an all-company event at least once a year so people can get to know each other in a more fun and social way.  Competitive salary plus stock option package  Medical, dental and vision insurance   Annual company retreat   Flexible PTO policy  Remote-first  If you are excited about contributing to a product that can have a lasting impact on our planet and you thrive in fast-paced, innovative environments, we would love to hear from you.  Salary: $120,000-$160,000  

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OVERVIEW At Aleph Alpha, we are shaping the future of AI with European values at the core. The heart of our product is developing cutting-edge generative AI solutions with a strong emphasis on sovereignty, ethical development, and societal benefit. Our generative AI offering empowers businesses, governments, and individuals to achieve their full potential. TEAM To bring our vision to life, we work closely with our partners to unlock the transformative power of generative AI. Our Customer Team empowers them by leveraging Aleph Alpha’s sovereign solution stack, ensuring they can harness AI’s full potential with confidence and security. As our Senior AI UX Designer (f/m/d), you will contribute to implementing a state-of-the-art user experience and maximize end user productivity to scale up our business according to the company targets.  At the same time, you will support sales by quickly creating attractive prototypes, productizing proofs of concept, and feeding learnings from innovation projects back into the product.You will work closely with Engineering and Pre-Sales teams to spearhead most cutting-edge AI solutions and support Aleph-Alpha's delivery. Your responsibilities:Deliver and refine advanced design artifacts (wireframes, user stories, user journeys, mockups, prototypes) optimized for diverse devices, platforms, and accessibility standards.Define and champion user experience strategy by developing and refining user personas, journeys, flows, wireframes, mockups, and prototypes that communicate design direction and guide cross-functional alignment.Partner with product leadership, engineers, pre-sales engineers and end users to co-create solutions that balance usability, visual design, technical feasibility, and business objectives. Serve as the voice of the user in strategic decision-making.Identify complex design challenges and lead the creation of innovative, scalable, and elegant solutions that elevate overall user experience and drive measurable product outcomes.Foster a culture of user-centered design, guiding teams to rapidly test, validate, and iterate on ideas while embedding feedback loops into the development process.Ensure final designs align with product vision, business objectives, and long-term strategy, influencing roadmaps and design system evolution.Stay ahead of industry trends, design best practices, and competitive landscapes to proactively inform product strategy and position solutions as leaders in the market.Your profile:Experience as a UI/UX or Digital Product Designer with a strong portfolio of impactful projects — ideally in B2B or enterprise SaaS — tackling complex technical challenges.Confidence working with industry-standard design tools like Figma, Miro, Lovable, Jira, and GenAI tools.Understanding of HTML5, CSS3, and JavaScript to support smooth collaboration with Frontend Engineers.A deep appreciation for design thinking and user research, with the ability to turn insights into clear product strategies and intuitive user experiences.Experience designing workflows for Machine Learning and Generative AI, with awareness of accuracy, explainability, bias, human-in-the-loop, and mapping business logic into user flows and pipelines.Skilled at prioritizing and scoping features with an MVP mindset, balancing user value, business needs, and technical feasibility.Comfortable leading client conversations, facilitating workshops, and managing diverse stakeholders, with strong consultative and partnership skills.A background in Design, HCI, Engineering, or a related field (or equivalent experience). Strong problem-solving, analytical thinking, and communication skills.Fluency in both German and English.What you can expect from us:Become part of an AI revolution! 30 days of paid vacation Access to a variety of fitness & wellness offerings via Wellhub Mental health support through nilo.health JobRad® Bike Lease Substantially subsidized company pension plan for your future security Subsidized Germany-wide transportation ticket Budget for additional technical equipment Flexible working hours for better work-life balance and hybrid working model Virtual Stock Option Plan