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Work With UsAt Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next.We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems.This Role Is For You If:You thrive in high-autonomy, high-context environments and know how to turn vague questions into concrete experiments.You’ve worked on foundation models beyond just LLMs, and you understand the nuances of designing for real-world signals and feedback.You’re comfortable creating new training setups, loss functions, or evaluation methods tailored to customer-specific metrics.You have deep experience with the PyTorch ecosystem (including distributed training and third-party libraries), and can move quickly from prototype to production-scale experiments.You’re energized by tight feedback loops with customers and believe that experimentation should be aligned with product objectives.You can think at multiple altitudes—from quick-turn tests to longer-term architecture bets—and know when to scale each.What You'll Actually Do:Own the end-to-end experimental process: from hypothesis generation to results analysis to iteration.Design and run structured experiments to evaluate model performance across customer-specific metrics.Develop tooling and workflows that let the team rapidly test hypotheses and scale promising directions.Work closely with research, infra, and customer teams to prioritize experimental goals and interpret results.Translate customer needs into actionable model improvements via principled experimentation.Contribute to building a culture of fast, reproducible, and product-aligned model research.What You'll Gain:Lead high-leverage experimentation at the intersection of foundational model research and real-world customer impact. Hands-on, research-driven role where you'll own the end-to-end lifecycle of designing, running, and analyzing experiments that push forward our hybrid model systems.Your work will directly shape how our models perform in customer contexts, with an emphasis on measurable impact over theoretical gains. You’ll collaborate closely with infra, modeling, and customer teams to ensure that experimental insights are actionable and aligned with product goals.About Liquid AISpun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.

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Work With UsAt Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next.We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems.This Role Is For You If:You enjoy spearheading customer engagements and orchestrating our implementation of Liquid Foundation Models (LFMs) to bridge the gap between customer needs and technical implementationYou thrive at the intersection of deep technical expertise and strategic leadership; decoding customer challenges, architecting technical solutions, and leading our engineering team through flawless executionYou're comfortable making technical decisions with incomplete information, guiding teams through ambiguity, and being the definitive technical voice for our customersDesired Experience:You have deep experience leading technical ML implementations with enterprise customers, including requirements gathering, solution design, and delivery managementYou possess deep technical knowledge of foundation models with hands-on experience in customization, fine-tuning, and deployment strategiesYou excel at distilling ambiguous customer problems into clear technical specifications that can be executed by implementation teamsYou can effectively communicate complex technical concepts to both technical and non-technical stakeholders, serving as the primary technical liaison with customersYou have a proven track record of leading cross-functional teams to deliver complex ML solutions on time and to specificationWhat You'll Actually Do:Own end-to-end customer relationships from technical discovery through implementation and success validationTranslate customer use cases into detailed technical implementation plans for the Applied ML Engineering teamConduct technical discovery sessions with customers to deeply understand their requirements, constraints, and success criteriaBuild and maintain the technical roadmap for each customer engagement, identifying risks and dependencies earlyServe as the escalation point for complex technical challenges encountered during implementationsCollaborate with product and engineering teams to align customer needs with our product roadmapDevelop reusable implementation patterns and technical assets that accelerate future customer engagementsWhat You'll Gain:The opportunity to define how cutting-edge LFM technology transforms businesses across industriesLeadership experience building a high-performing technical implementation function from the ground upVisibility across the entire customer lifecycle, from initial engagement through successful deploymentThe satisfaction of seeing your technical vision translated into tangible customer outcomes that redefine what's possible with foundation modelsAbout Liquid AISpun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.

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We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.The Lambda Observability team builds and operates large scale monitoring systems for our AI cloud product suite. We deploy observability solutions across the stack, from datacenter infrastructure to our in-house software stack. Keeping those offerings reliable and instantly detecting issues in the latest high-performance AI clusters is what makes us tick. Along with the Platform Engineering organization, we help to build the foundations that unlock product excellence and a highly reliable experience for our customers.Our expertise lies at the intersection of:Scalable Observability Platforms: We build and operate mission-critical platforms for metrics, logs, and traces based on both open-source software and systems developed in-house.AI Infrastructure Observability: We design observability solutions for large-scale AI clusters running the latest GPU, Networking, and Storage technologies.Observability Practices: We engage across the company to promote best practices, help teams adopt our platforms, and enable applications that require observability data.About the Role:We are seeking a seasoned Observability Engineering Manager with deep experience in development and operation of modern observability platforms. You will hire and guide a team of observability engineers in building out critical pillars of our internal observability stack. You will lead the team in building monitoring solutions for new products, and in measuring and reporting the availability of our products.Your role is not just to manage people, but to coordinate the delivery of observability solutions to customers inside and outside Lambda. Your leadership will be pivotal in ensuring our ability to deliver a high-quality, reliable product experience.This is a unique opportunity to work at the intersection of large-scale observability systems and the rapidly evolving field of artificial intelligence infrastructure. You will be building the systems that monitor some of the world’s most advanced AI solutions.What You’ll DoTeam Leadership & Management:Grow/Hire, lead, and mentor a team of high-performing observability engineers and SREs.Foster a culture of technical excellence, collaboration, and customer service.Conduct regular one-on-one meetings, provide constructive feedback, and support career development for team members.Drive outcomes by managing project priorities, deadlines, and deliverables.Technical Strategy & Execution:Work with the engineering team to drive strategy for Lambda internal and customer observability solutions.Improve observability of AI infrastructure and develop new monitoring solutions as new products are introduced.Lead the broader engineering organization in adoption of Observability and SRE practices.Manage costs of both vendors and internally developed platforms.Lead team in the continued development of our existing Metrics solutions based on the Prometheus and OpenTelemetry ecosystems.Lead team in tasks related to delivery of new Logging and Tracing solutions based on Clickhouse.Guide team in problem identification, requirements gathering, solution ideation, and stakeholder alignment on engineering RFCs.Participate in design of solutions for bringing observability data to our customers.Identify gaps in our observability posture and drive resolution.Lead the team in supporting internal customers from across Lambda engineering.Cross-Functional Collaboration:Collaborate with the infrastructure and HPC teams on infrastructure monitoring and alerting.Work closely with Lambda product engineering teams on instrumentation and best practices usage of our platforms.Work to understand the needs of engineering teams and drive our Observability solutions towards self-service.Manage a short list of vendors that provide SaaS solutions in the monitoring space.YouExperience:10+ years of experience in observability systems or platform engineering with at least 3 years in a management or lead role.Demonstrated experience leading a team of engineers and SREs on complex, cross-functional projects in a fast-paced startup environment.Significant experience in environments that require the monitoring of bare-metal infrastructure is preferred.Experience with a wide variety of modern open-source observability software.Strong background in software engineering and the SDLC.Strong project management skills, leading planning, project execution, and delivery of team outcomes on schedule.Extensive experience with site reliability engineering and ability to champion improved SRE practices.Experience building a high-performance team through deliberate hiring, upskilling, performance-management, and expectation setting.Nice to HaveExperience:Experience driving cross-functional engineering management initiatives (coordinating events, strategic planning, coordinating large projects).Experience driving organizational improvements (processes, systems, etc.)Experience with Kubernetes, designing scalable distributed systems,Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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As a Product Designer, you’ll help leverage emerging technology to reimagine the experience of editing video. You’ll own the end-to-end design of new features and evolution of existing ones in the generative/agentic space. You’ve got a passion for creating novel experiences and experience collaborating closely with user research, product management, engineering, and other designers to achieve the right mix of novelty and usefulness. Our product is an intricate web of interconnected features, which means designers at Descript need strong systems design thinking. You’ll need to know how to find the right fit for new features in an existing product and have a strong intuition for when to push at system boundaries. Join us to help build the future of creative tools. Responsibilities Play a key role in a feature team, driving design decisions and collaborating with stakeholders and fellow designers to shape innovative video editing experiences Set a high bar for craft, eye for detail, and deep empathy for users Own the design process from concept through to execution Bring clarity to problems that are broad and ambiguous in scope, integrating user, business, and technical constraints through structured thinking and effective communication Contribute to the definition and expansion of our design system Collaborate deeply with diverse stakeholders (product management, engineers, designers, executives) Advocate for what you think is right, know when to disagree and commit Requirements 4+ years as a designer, the majority of it spent in product You have a portfolio demonstrating your ability to create net new features from scratch as well as your systems thinking Exceptional interaction and visual design skills—the ability to create delight without sacrificing usability Understanding of AI/ML and some experience designing for it Experience designing web, mobile or desktop applications with workflows and systems design challenges Experience on a fast-growing team and ability to work through ambiguity and create clarity Clear, direct communication Self-direction, you own your own work and deliver on your commitments Contribute actively in team crit—know how to give and receive feedback well At least 2 of the following stand-out skills Stand-out skills Past work building and/or working on a creation tool (e.g., word processor, design tool, audio or video editing tool) Experience building or working on a mature design system Expertise in accessibility Comfort with designer-led user research An interest in Vibe coding (or, hey, code coding) for prototyping Finding new tools and processes (including AI) to improve the design process UI animation skills The base salary range for this role is $190,000-$230,000/ year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above.  About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 — with a proven CEO and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital).  Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're looking to hire people who are local and able to join us at the office when needed. We're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. But we do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.  Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive. 

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Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role HP IQ’s Wireless Technology Team works cross-functionally with electrical engineering, software, product design, industrial design, program management, and operations to deliver successful products to market. As a Senior Antenna Engineer, you will drive the product from conception to production. This includes simulations, prototyping, measurements (in the field and in the lab, both active and passive), writing antenna specifications and test plans, reviewing compliance lab reports, and leading efforts to resolve antenna-related challenges that arise. What You Might Do Architect and design high-performance antennas throughout the full product development cycle. Drive EMI and RF desense mitigation through advanced simulations and testing to meet regulatory and performance requirements. Partner with manufacturing teams to ensure robust, high-quality antenna system implementation. Utilize industry-standard tools (XFDTD, HFSS, CST, etc.) for accurate simulation modeling; perform material characterization, prototype development, and anechoic chamber measurements (ETS). Generate clear, data-driven reports and presentations to communicate findings and design decisions. Innovate antenna solutions optimized for small form-factor devices. Collaborate closely with internal cross-functional teams and external JDM/CM partners to successfully launch wireless products to market. Essential Qualifications 5+ years of experience shipping high-volume consumer electronics products with multiple wireless communication technologies. Deep expertise in antenna design and electromagnetics, with proven experience delivering antennas for consumer electronics and wearable devices. Proficient in EM simulation tools (ANSYS HFSS, CST) and skilled in Matlab or equivalent platforms for data analysis and post-processing. Hands-on experience with RF lab equipment, including 3D anechoic chambers, VNAs, and spectrum analyzers for antenna and RF subsystem validation. Strong ability to balance cost, performance, and form factor trade-offs in antenna development for compact wearable designs. Solid understanding of carrier certification processes and regulatory compliance (FCC, CE, etc.) to ensure product readiness for global markets. Hands-on experience measuring system performance parameters such as sensitivity, EVM, S-parameters, emissions, stability, and output power. Ability to travel to factories to support builds. Preferred Skills Passionate about working in highly creative, fast-paced, and collaborative teams alongside industrial designers, software engineers, and UX designers. Experience with Python and ADS for RF simulation and test automation. Experience with schematic capture and circuit board layout design tools. Knowledge of PCB design and efficiency in using Cadence tools (CIS, Allegro). Ability to drive tasks independently and communicate issues/root-cause analysis clearly. Strong presentation skills with experience engaging senior leadership. Salary range: $140,000 - $225,000Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!Enterprises continue to struggle in getting specialized, high-value AI use cases to production–a trend likely to be greatly exacerbated by the push to agentic systems that require more specialization and much higher accuracy.   As an Enterprise Account Executive – Enterprise AI Solutions, you’ll drive adoption of specialized unified AI platforms, services, and data solutions across large enterprise accounts.  You'll partner with technical and business stakeholders to identify pain points in their current AI workflows and demonstrate how our scalable, secure, and flexible AI solutions to develop and operationalize their AI systems can deliver the business outcomes they desire. Key Responsibilities: Own the end-to-end multi-stakeholder, consultative services/solutions sales process for Snorkel AI’s Enterprise AI Solution offering, targeting enterprise accounts with a focus on long-term customer success. Proactively prospect, identify, qualify and develop a sales pipeline with a focus on large fortune 1000 companies (new logos) while running an efficient sales process. Develop deep understanding of customer challenges in data labeling, ML model development, and AI/ML deployment. Translate those challenges into tailored AI solutions, working closely with our technical and delivery teams. Work closely with Solutions Engineers and Applied AI teams to shape proof-of-concepts. Maintain accurate forecasting and deal progression in Salesforce or equivalent CRM. Qualifications: 5+ years of enterprise services/solutions sales experience in AI/ML, data services/ infrastructure, or technical services. Strong track record of overachievement and hitting sales targets, closing six- and seven-figure enterprise deals with technical and executive stakeholders. Technical background (CS, engineering, math, or statistics) or equivalent experience working closely with technical teams. Deep understanding of machine learning workflows, training data needs, and the enterprise AI stack. Comfort navigating both technical and business value conversations. Excellent storytelling and value-based selling skills. Ability to thrive in a fast-paced, collaborative, and rapidly changing environment. Highly intelligent. High EQ. Self-aware, Coachable. Resourceful. Humble. Previous Sales Methodology training (e.g. MEDDIC, Outcome Based Selling, Challenger Sales). Experience working for an innovative high growth tech company (SaaS, IT infrastructure or similar preferred). Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!At Snorkel AI, we’re solving one of the biggest bottlenecks in enterprise AI: high-quality labeled data. Our Data-as-a-Service (DaaS) offering combines the power of programmatic data labeling and human-in-the-loop workflows to deliver training datasets faster, with higher accuracy, and at a fraction of the manual cost. Unlike traditional data labeling vendors, which rely heavily on manual processes, Snorkel AI’s approach is automated, iterative, and built for customization at scale. Backed by years of Stanford research and trusted by leading Fortune 500 enterprises and government agencies, Snorkel helps teams ship ML products faster by transforming how training data is created. We’re looking for a strategic and consultative Enterprise Account Executive to drive growth of our DaaS offering among large and innovative enterprises. This role is ideal for someone who understands the limitations of manual labeling and is ready to offer customers something more scalable, customizable, and impactful. If you're excited about selling differentiated, next-generation solutions that redefine an entire category, we’d love to talk. Key Responsibilities: Own the end-to-end multi-stakeholder, consultative sales process for Snorkel AI’s Data-as-a-Service offering, targeting enterprise accounts with a focus on long-term customer success. Proactively prospect, identify, qualify and develop a sales pipeline with a focus on large fortune 1000 companies (new logos) while running an efficient sales process. Develop deep understanding of customer challenges in data labeling, ML model development, and AI/ML deployment. Translate those challenges into tailored DaaS solutions, working closely with our technical and delivery teams. Differentiate Snorkel’s value vs. traditional labeling platforms by emphasizing automation, iteration, and quality. Work closely with Solutions Engineers and Delivery teams to design and scope pilot and production engagements. Contribute market intelligence and customer feedback to Product and Marketing teams Maintain accurate forecasting and deal progression in Salesforce or equivalent CRM. Qualifications: 5+ years of enterprise sales experience in AI/ML, data services/ infrastructure, or technical services. Strong track record of overachievement and hitting sales targets, closing six- and seven-figure enterprise deals with technical and executive stakeholders. Experience selling in a competitive space where you had to position against entrenched incumbents or first-generation technologies. Technical background (CS, engineering, math, or statistics) or equivalent experience working closely with technical teams. Deep understanding of machine learning workflows, training data needs, and the enterprise AI stack. Comfort navigating both technical and business value conversations. Excellent storytelling and value-based selling skills. Ability to thrive in a fast-paced, collaborative, and rapidly changing environment. Highly intelligent. High EQ. Self-aware, Coachable. Resourceful. Humble. Experience working for an innovative high growth tech company (SaaS, IT infrastructure or similar preferred). Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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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 TeamOver the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require guidance and input throughout the development lifecycle.The Agent Product Management team drives this journey as Decagon’s in-house experts on building, deploying, and scaling AI agents. Agent PMs work directly with customers to bring their AI agents to life, and then grow each Agent into a core part of each company’s businesses. As one of our early APM’s, you will deploy our technology into some of the world’s most influential businesses, driving real world business impact as one part Product Manager, one part AI expert.About the RoleOn the APM team you’ll own each stage of the AI Agent building process. This can include:Collaborating with engineering to design a new product featureWriting and testing prompt logic for a specific customer use caseWorking with a customer’s executive team to define their AI roadmapYou’ll partner closely with every team at Decagon: Go-To-Market, Design, Engineering, and across our leadership team. You’ll become a key source of customer insight guiding our long-term product roadmap.APMs at Decagon own their own portfolio of agents from end-to-end and are trusted to make real impact. This role is for someone who dives deep into complex business problems, builds elegant solutions and then scales. them out to millions users.In this role, you willBuild, Design and optimize Enterprise-quality AI agents in collaboration with customers — understanding their workflows, pain points, and goals.Embed deeply within strategic customers to understand their business challenges and serve as a strategic advisor to their AI roadmapRun tight feedback loops into Engineering — influence feature development based on real customer needs.Represent Decagon externally — working closely with customers and prospects, participating in key deployments.Your background looks something like thisHave 4+ years of relevant experience (e.g., product manager, engagement manager, consultant, founder, etc.)Deep technical acumen — able to understand and shape AI agent designs.Strong communication and relationship-building skills.Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.Even betterA Computer Science, Engineering, or Math degree — or equivalent technical experience.BenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$200K – $285K + Offers Equity

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Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.The Corporate Security team’s mission is to ensure the security of Hoodie endpoints, corporate networks, and corporate productivity and business SaaS systems. Corporate Security works alongside our enterprise applications, endpoints, corporate networking, identity, and insider trust teams. As a Security Management Leader, you lead an outstanding team focusing on internal system security, policies, and corporate controls. You will champion a vision of security as a true business enabler—working shoulder-to-shoulder with product and engineering teams to embed trust, safety, resilience, and speed into Robinhood’s corporate & business systems. You’re a leader who empowers the business to innovate safely, who stays ahead of emerging threats, and who will get hands-on with engineering partners to solve complex security and systems problems. You meet business & engineering partners where they're at, helping turn audits, incidents and other security events into impactful security and business outcomes. We are looking for a Corporate Security Manager to: Architect, build and proactively secure corporate infrastructure and services at scale, and securely enable business functions. Build and secure AI technologies and agentic workflows for analysis, investigation & detection of security incidents and bad actors, and provide governance over the use of non-human agents within Robinhood’s corporate environment Continually raise the standard on the strength of our corporate security controls, while balancing Hoodie productivity. Develop and continually reassess controls to mitigate security incidents. Validate our controls through technical risk and design reviews to ensure alignment with required security policies/standards. What you’ll do Design secure access controls using modern tools and techniques (e.g. WebAuthn, Okta SSO, Okta Identity Governance OIG, JIT access). Design endpoint state attestation tooling to ensure security configurations and a safe end user development platform (e.g., OSquery, JAMF, FleetDM, Kandji, Crowdstrike, SentinelOne, Cyberhaven, Code42). Design secure identity controls using Zero-Trust Identity-Aware policies (e.g., Managed Device Verification, Device Trust, Device Posture analysis). Oversight on Deploy Data Loss Prevention (DLP) solutions focusing on PII and PCI related data that may be in SaaS applications (e.g. Google Workspace, Jira, Confluence, Salesforce, ServiceNow). Develop well-lit paths for safe, secure use of agents & AI orchestration inside Robinhood’s corporate environment. Write security policies and guidelines to steer Hoodies towards the paved road and away from security risk. Perform risk assessments across SaaS systems and corporate cloud environments to detect exposure and security mis-configurations in enterprise applications. Help craft a secure integration and migration strategy for future mergers and acquisitions. What you bring 10 years of relevant security engineering work experience Strong depth of knowledge in foundational cybersecurity best practices and leading high-performing blue teams Strong expertise across cloud, application, infrastructure, and data security domains Hands-on experience with incident management and post-incident analysis Comfort leveraging AI tools to enhance security operations, and familiarity with generative AI systems and workflows Background in security policy authorship and opaque product assessment DRI record of delivering large and high complexity projects that impact multiple teams Strong background in recruiting, managing and developing diverse, high-performing teams in fast-moving environments Excel at owning the outcome and performance of solutions and controls delivered Consistently make culture choices that positively impact all Hoodies Though not REQUIRED, the following would also be quite helpful: Previous experience at a high growth company in the FinTech space Previous experience at highly regulated public company over 1,000 workers  Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation.  In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed. Base Pay Range:Toronto, ON$161,500—$190,000 CADClick here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. About The Role We are seeking an exceptional Detection and Response Engineer to serve on the front lines, where you will build systems to detect threats, investigate incidents, and lead coordinated response across teams. The right candidate brings hands-on experience creating reliable detections, automating repetitive tasks, and turning investigation findings into durable improvements to our security program, with an interest in exploring AI-driven automation. Responsibilities Create and optimize detections, playbooks, and workflows to quickly identify and respond to potential incidents. Investigate security events and participate in incident response, including on-call responsibilities. Automate investigation and response workflows to reduce time to detect and remediate incidents. Build and maintain detection and response capabilities as code, applying modern software engineering rigor. Explore and apply emerging approaches, potentially leveraging AI, to strengthen our security posture. Document investigation and response procedures as clear runbooks for triage, escalation, and containment. Skills And Qualifications 3–5 years of experience in detection engineering, incident response, or security engineering. Strong proficiency in Python and query languages such as SQL, with the ability to write clean, maintainable, and testable code. Practical knowledge of detection and response across cloud, identity, and endpoint environments. Familiarity with attacker behaviors and the ability to translate them into durable detection logic. Strong fundamentals in operating systems, networking, and log analysis. Excellent written communication skills, with the ability to create clear documentation. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About The Role    As a Product Manager on the Cerebras AI Cluster Management software team, you will lead the roadmap and execution of an AI centric cluster management solution with special emphasis on Security and Observability. The Cerebras AI cluster management software is a strategic software product initiative intended to deliver Cerebras’s high performance AI benefits to on-premises customers and sovereign/neo clouds. Cerebras cluster management is intended to simplify deployment and maintenance for platform operators, making it easier to manage complex AI infrastructure at scale.    In your role, you will define the strategy, roadmap, direction and requirements for Crebras’s AI cluster software security, governance, compliance, observability and troubleshooting flows.   The management software will address the demanding needs of the most sophisticated datacenter operators and seamlessly integrate with the customer’s operational, security, compliance and governance flows.     This role offers the opportunity to shape a critical product that combines hardware, software, and systems to power AI deployments efficiently and reliably in diverse environments. If you are passionate about solving complex infrastructure challenges and building solutions that scale, this is the role for you.     Responsibilities  Define and deliver a world-class cluster management experience with a focus on observability, management, monitoring and security.   Collaborate with engineering to design reliable, scalable solutions and APIs tailored to cluster operator workflows.   Develop a deep understanding of cluster operator needs through user and market research.   Communicate product updates and roadmap progress clearly to internal and external stakeholders.   Skills & Qualifications  5+ years of product management experience, preferably in infrastructure observability and security domains.   Expert knowledge of security tools such as IAM, IDP, SIEM, Key management systems. Expert knowledge of observability solutions such as Prometheus, Grafana, log management systems, observability management systems.   Familiarity with cluster orchestration tools and concepts (e.g., Kubernetes).   Strong ability to think at the API and platform layers, designing solutions for operator workflows.   Excellent communication and collaboration skills, with the ability to work effectively across diverse teams.   Technical background (e.g., computer science, engineering) or the ability to engage deeply with engineering teams.   Proven ability to excel in a fast-paced, dynamic environment.   Preferred Skills & Qualifications  Experience in enterprise software, cloud infrastructure, or AI/ML platforms.   Understanding of security and authentication principles in software systems.   Familiarity with monitoring, telemetry, and fault tolerance in distributed systems.    Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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About Appier Appier is a technology company which aims to provide artificial intelligence platforms to help enterprises solve their most challenging business problems. Appier was established in 2012 by a passionate team of computer scientists and engineers with expertise in AI, multi-agent, data analysis, distributed systems, and marketing.   About The Product Marketing Team The product marketing team at Appier is under the Growth and Marketing organization, working closely with product, sales, and customer success teams to drive awareness and adoption.   About this role As a Product Marketing Associate, you will play a crucial role in driving the success of Enterprise Solution's go-to-market strategy in different markets, including Japan, South Korea, Taiwan, Hong Kong, and Southeast Asia, and ensuring the continued growth and adoption of our cutting-edge AI-powered solutions. You'll be a key storyteller for Appier, bringing the value of data and personalization to life across all internal and external channels by owning the vertical go-to-market strategy, building competitor playbooks, delivering global training, and being a public figure for the company.   Responsibilities Develop and execute go-to-market strategies for Personalization and Data Cloud products by working closely with cross-functional teams such as product management, sales, and customer success.  Conduct market research and competitive analysis to identify customer needs, market trends, and growth opportunities. Develop and maintain a deep understanding of the company's products and services, as well as the target audience and buyer personas. Craft compelling value propositions and messaging that differentiate the company's products in the market and resonate with target audiences. Collaborate with sales teams to develop sales enablement materials, such as presentations, case studies, and product demos. Partner with the broader marketing team to execute marketing tactics that drive awareness and new client meetings.   Qualifications [Required] Bachelor's degree in Marketing, Business, or a related field with 2-3 years of experience in (product) marketing or a related role Excellent written and verbal communication skills in English, with the ability to craft compelling messaging and tell engaging stories. Experience in creating sales enablement materials, such as sales decks and case studies. Agile and adaptable mindset, with the ability to thrive in a fast-paced, dynamic environment. Proactive and self-driven with a strong attention to detail and the ability to manage multiple projects simultaneously. An appetite for collaboration, driven by the belief that your success is dependent on the success of others around you Enjoyment talking to customers and personally going and testing and figuring out positioning that works Taste for beautiful design, good copy, and attention to detail [Nice to have] Relevant experience in digital marketing roles. Proficiency in additional languages besides English. Experience in B2B marketing or enterprise software solutions. Strong project management skills and the ability to prioritize tasks effectively. A passion for continuous learning and professional development in the field of marketing. Ability to thrive in ambiguity and navigate through complex challenges. A collaborative and team-oriented mindset, with a willingness to support and contribute to the success of the team as a whole.   #LI-AK1

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YOUR MISSION: As an Engineering Manager for Site Reliability Engineering & Developer Experience (f/m/d) at Parloa, you will nurture and support a collaborative team that ensures the reliability, scalability, and performance of our products while empowering engineers with thoughtful tools and workflows. Your mission is to cultivate and grow SRE practices that enable our architectural transformation and ensuring our systems meet availability targets. You'll foster a caring culture where reliability is a shared responsibility and where automation helps reduce toil, empowering engineers to focus on meaningful work. IN THIS ROLE YOU WILL: Build and nurture a supportive team that harmonizes SRE excellence with developer experience Collaborate to establish SRE practices: SLI/SLOs, error budgets, and trust-based postmortems using Datadog metrics Create comprehensive observability strategies leveraging our monitoring stack Support sustainable incident response, on-call processes, and automation using GitHub Actions and Terraform to improve MTTR Partner with engineers and engineering teams to integrate reliability practices into CI/CD pipelines (ArgoCD, GitHub Actions) while supporting developer wellbeing Foster adoption of reliability best practices across our Kubernetes-based infrastructure through mentorship and collaboration Guide teams in leveraging our Azure cloud platform effectively while preparing for multi-cloud architectures Support the thoughtful adoption of AI tools (Cursor, GitHub Copilot) for operational efficiency   WHAT YOU BRING TO THE TABLE: Experience supporting SRE, DevOps, or platform teams with focus on reliability and collaboration Understanding of SRE principles: SLI/SLOs, error budgets, and toil reduction Hands-on experience with our observability stack (Datadog for metrics/APM, ELK for sensitive logs) and production systems at scale Deep empathy for developer workflows and creating sustainable on-call processes that support work-life balance Familiarity with Infrastructure as Code using Terraform and container orchestration with Kubernetes Experience with CI/CD platforms (GitHub Actions, ArgoCD) and integrating reliability into deployment pipelines Understanding of Azure cloud services and preparing organizations for multi-cloud transformations Warm communication skills for incident support, postmortem facilitation, and cross-team collaboration Experience with authentication systems (e.g. Okta, EntraID) and their role in system reliability Commitment to building inclusive teams that balance operational care with innovation and wellbeing Appreciation for AI-assisted tools in improving operational efficiency and reducing toil Background with databases (MySQL, Redis, MongoDB) and their reliability considerations is valued Experience with multi-cloud architectures and distributed systems is warmly welcomed 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. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Hybrid work environment. However, we love to build real connections and want to welcome everyone in our beautiful Berlin office on certain days.   Your recruiting process at Parloa: Recruiter video call → Meet your manager → Technical Interview + Technical Leadership Interview → Bar Raiser 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 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 Technical Program Manager, you’ll partner with Engineering, Product, and cross-functional stakeholders to deliver complex initiatives on time, with quality, and with transparency. You’ll define clear delivery frameworks, own multi-team program timelines, and measure the metrics that matter for scaling our engineering execution.Key Responsibilities:Own end-to-end delivery of high-impact programs from idea intake to production launch.Execute the company roadmap and sequencing for initiatives, epics, and stories.Build and manage integrated program plans across multiple teams, surfacing dependencies and risks early.Facilitate SCRUM ceremonies including sprint and release readiness reviews, ensuring all required deliverables are complete.Define and implement lightweight delivery frameworks that scale with the company’s growth stage.Align on consistent definitions of lead time, cycle time, release stages, and “done.”Introduce Jira workflows, dashboards, and reporting that give leaders clear visibility without adding overhead.Drive retrospectives to capture learnings and continuously improve program delivery.Set and track program health metrics (e.g., lead time, throughput, predictability, defect rate).Build reporting at Initiative → Epic → Story → Task level to identify bottlenecks.Partner with Product & Eng leadership to use data for prioritization and resourcing decisions.Act as the connective tissue between Engineering, Product, Design, and Go-To-Market teams.Provide clear, concise status updates tailored to the audience—from exec summaries to detailed engineering trackers.Manage expectations and alignment across distributed stakeholders.Required Skills & Qualifications:Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent work experience.7+ years in Technical Program Management, Engineering Operations, or similar roles.Proven ability to manage complex, multi-team technical programs in an agile environment.Strong grasp of software development lifecycle (SDLC) and modern engineering practices.Experience creating cross-team metrics dashboards in Jira or equivalent tools.Excellent communication and facilitation skills—can operate at both detail and executive levels.Ability to thrive in ambiguity, with a bias for clarity and action.Startup or high-growth company experience is strongly preferred.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$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 Handshake AIHandshake is building the career network for the AI economy. Our three-sided marketplace connects 18 million students and alumni, 1,500+ academic institutions across the U.S. and Europe, and 1 million employers to power how the next generation explores careers, builds skills, and gets hired.Handshake AI is a human data labeling business that leverages the scale of the largest early career network. We work directly with the world’s leading AI research labs to build a new generation of human data products. From PhDs in physics to undergrads fluent in LLMs, Handshake AI is the trusted partner for domain-specific data and evaluation at scale.This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.Now’s a great time to join Handshake. Here’s why:Leading the AI Career Revolution: Be part of the team redefining work in the AI economy for millions worldwide.Proven Market Demand: Deep employer partnerships across Fortune 500s and the world’s leading AI research labs.World-Class Team: Leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, just to name a few.Capitalized & Scaling: $3.5B valuation from top investors including Kleiner Perkins, True Ventures, Notable Capital, and more.About the RoleAs a Learning Designer - Forward Deploy, you will be the tactical expert who bridges the gap between our Operations teams and Fellow success. You'll operate in a fast-paced "forward deployed" model, working directly with Operators to rapidly create, deploy, and iterate on training solutions that ensure our Fellows can deliver the highest quality AI training data across diverse and evolving projects.You'll work shoulder-to-shoulder with Operations teams who are launching new projects, scaling existing ones, or troubleshooting quality issues. You'll need to understand project requirements deeply, identify training gaps instantly, and deploy targeted learning solutions within days. Your mission is to enable Operators to achieve their Fellow quality and throughput goals through exceptional training design and rapid deployment.What you will doRespond to urgent training requests within 24-48 hours by creating project-specific training collateral (playbooks, courses, assessments) and building self-serve resources that transition Operators from dependency to independent training creationAnalyze learning needs and common errors to identify training gaps through investigation of Fellow mistakes, project quality issues, and Operator feedback to develop targeted interventions and scalable solutionsAnalyze performance data and iterate on training effectiveness by tracking Fellow quality metrics, completion rates, and satisfaction scores to continuously refine both Fellow training and Operator enablement strategiesEnable Operators to develop coaching and learning capabilities by training them on instructional design principles, feedback techniques, and quality assessment methods that enhance their ability to support Fellow developmentBuild scalable training infrastructure including template libraries, content design systems, and reusable frameworks that enable Operators to independently create quality training materials while maintaining consistency across projectsDesired Capabilities5+ years of deep experience in instructional design and technical training content creation, with demonstrated ability to translate complex technical concepts into effective learning experiencesProven ability to work in fast-paced, rapidly evolving environments where requirements may change frequently and projects launch with tight deadlinesBackground in AI or other STEM disciplines with the technical depth to understand AI training methodologies and their implicationsExtra CreditEnablement experience strongly preferred—experience in customer success, sales enablement, or technical consulting where you've had to rapidly upskill diverse audiencesPerksHandshake delivers benefits that help you feel supported—and thrive at work and in life.The below benefits are for full-time US employees.🎯 Ownership: Equity in a fast-growing company💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching🍼 Family Support: Paid parental leave, fertility benefits, parental coaching💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend📚 Growth: $2,000 learning stipend, ongoing development💻 Remote & Office: Stipends for home office setup, internet, commuting, and free lunch/gym in our SF office🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days, winter #ShakeBreak where our whole office closes for a week!🤝 Connection: Team outings & referral bonusesExplore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewAs a Software Engineer on the Product Engineering team at Harvey, you’ll contribute to engineering projects across our product lines. You’ll work closely with our AI, Legal, and GTM teams to help build secure, intuitive systems that deliver real value to our customers.We’re looking for curious, motivated engineers who are excited to learn, grow, and make an impact in the future of application-layer and GenAI products. This role is ideal for new graduates who want to work across the stack and build category-defining products.What You'll DoBuild features that enable retrieval over peta-byte scale document collectionsDesign intuitive interfaces for collaboration with AI systemsContribute to systems that manage dedicated GPU capacity across regionsSupport intelligent agents that help enterprises with complex planning tasksDevelop secure infrastructure for sensitive customer data and workflowsExperiment with and evaluating cutting-edge LLMs across diverse task categoriesWhat You HaveBS in Computer Science or related degree, graduation Spring 2026Applicants must currently reside in the San Francisco Bay Area and be able to commute to our San Francisco office. Relocation is not available for this role.Strong programming fundamentals in one or more languagesExperience from previous software engineering internshipsInterest in building highly intuitive, product-focused softwareA collaborative mindset, curiosity, and eagerness to learnCompensation $165,000 USD Please find our CA applicant privacy notice here.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleIf you’re a professional who works with text, Mindrift offers a unique opportunity to apply your writing, editing, and creative and communication skills to an AI training project. As an AI Tutor - Writer, your work will help train AI models, shaping how they understand and generate human-like text. This isn’t just traditional writing - you’ll be crafting text that teaches AI reasoning, logic accuracy, nuance, and clarity.Although every project is unique, you might typically: Crafting original, clear, and fact-checked responses based on project guidelines. Following style and quality standards to ensure consistency. Collaborating with Quality Assurance Specialists to refine and improve content. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Master’s Degree or Bachelor’s Degree in communications, linguistics, literature, journalism, or education to ensure a strong understanding of grammar and stylistic features. You have at least 3 years of professional experience. Your level of English is proficient (C2). You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleIf you’re a professional who works with text, Mindrift offers a unique opportunity to apply your writing, editing, and creative and communication skills to an AI training project. As an AI Tutor - Writer, your work will help train AI models, shaping how they understand and generate human-like text. This isn’t just traditional writing - you’ll be crafting text that teaches AI reasoning, logic accuracy, nuance, and clarity.Although every project is unique, you might typically: Crafting original, clear, and fact-checked responses based on project guidelines. Following style and quality standards to ensure consistency. Collaborating with Quality Assurance Specialists to refine and improve content. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Master’s Degree or Bachelor’s Degree in communications, linguistics, literature, journalism, or education to ensure a strong understanding of grammar and stylistic features. You have at least 3 years of professional experience. Your level of English is proficient (C2). You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleIf you’re a professional who works with text, Mindrift offers a unique opportunity to apply your writing, editing, and creative and communication skills to an AI training project. As an AI Tutor - Writer, your work will help train AI models, shaping how they understand and generate human-like text. This isn’t just traditional writing - you’ll be crafting text that teaches AI reasoning, logic accuracy, nuance, and clarity.Although every project is unique, you might typically: Crafting original, clear, and fact-checked responses based on project guidelines. Following style and quality standards to ensure consistency. Collaborating with Quality Assurance Specialists to refine and improve content. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Master’s Degree or Bachelor’s Degree in communications, linguistics, literature, journalism, or education to ensure a strong understanding of grammar and stylistic features. You have at least 3 years of professional experience. Your level of English is proficient (C2). You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $20/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleIf you’re a professional who works with text, Mindrift offers a unique opportunity to apply your writing, editing, and creative and communication skills to an AI training project. As an AI Tutor - Writer, your work will help train AI models, shaping how they understand and generate human-like text. This isn’t just traditional writing - you’ll be crafting text that teaches AI reasoning, logic accuracy, nuance, and clarity.Although every project is unique, you might typically: Crafting original, clear, and fact-checked responses based on project guidelines. Following style and quality standards to ensure consistency. Collaborating with Quality Assurance Specialists to refine and improve content. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Master’s Degree or Bachelor’s Degree in communications, linguistics, literature, journalism, or education to ensure a strong understanding of grammar and stylistic features. You have at least 3 years of professional experience. Your level of English is proficient (C2). You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $20/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.