Find AI Work That Works for You

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🚀 About Us We’re StackBlitz! We’re the team that brought you WebContainers, the first-of-its-kind technology that made it possible to run Node.js right inside your browser. That breakthrough kicked off our journey in 2019, and it’s what powers the blazing-fast online IDE used by over 1 million developers every month. But we didn’t stop there. We doubled down on everything we learned and built Bolt.new — the fastest way to go from idea to production without writing traditional code. It’s a next-gen, AI-powered app builder that helps you create, edit, and deploy full-stack web and mobile apps instantly, right in your browser. No installs. No setup. Just smart automation and instant dev environments that let you move at the speed of thought. We’re a fully remote team, globally distributed, deeply collaborative, and seriously passionate about building the future of software development. This is your chance to join a small team with a big vision. If you love shipping fast, solving real problems, and pushing the boundaries of what’s possible, we’d love to meet you. ✨ About This Opportunity We’re looking for a Growth Engineer to join our small but mighty team and help accelerate Bolt’s product-led growth engine. This is a hands-on, experimental, fast-moving role, ideal for someone who loves solving real user problems with code, thrives in ambiguity, and has an eye for both impact and UX. You’ll be building everything from rapid landing page tests to in-product experiments, feature variations, email triggers, and more, all with the goal of helping users discover value faster, return more often, and upgrade when it makes sense. This role is full-stack but leans toward the front-end, where most experiments will live. You’ll collaborate closely with product, design, and growth, and you’ll be expected to bring ideas, not just build tickets. 🛠️ How You'll Contribute  Build and ship rapid experiments across the full funnel — landing pages, onboarding flows, upgrade nudges, etc. Work closely with product/growth to identify high-leverage problems and propose scrappy technical solutions Implement trigger-based email and messaging systems (e.g. behavior-based lifecycle emails) Support and build small product features that unlock user value or monetization Use AI and prompt engineering to prototype and improve user experiences (bonus: you’ve built agents or flows before) Analyze experiment results and iterate quickly based on performance 💡 Qualifications Experience as a full-stack engineer, with proficiency in React, Node.js, Tailwind CSS, and strong front-end development skills. Track record of rapidly shipping features and iterating based on learnings. Product-focused mindset — able to think like a PM or growth hacker, with a strong interest in understanding and influencing user behavior. Experience building or integrating email systems, onboarding flows, and/or dynamic user interfaces. Familiarity with AI tools and prompt engineering to enhance development efficiency. Comfortable prototyping MVPs, testing new ideas, and iterating to find product-market fit. Ability to thrive in fast-paced, ambiguous environments Strong verbal and written English communication skills are required, as this role involves frequent collaboration with team members, stakeholders, and customers where English is the primary working language. 🎯 Bonus Points  Experience with AI agents, structured prompts, or workflows Experience working in a startup or PLG-driven product team Familiarity with A/B testing frameworks or analytics platforms (Mixpanel, PostHog, etc.) Comfort working closely with designers and copywriters on micro UX experiments 📌 A Few Notes You do not need a college degree to apply You do not need to be located in the U.S. — we’re remote-friendly You do not need to meet every qualification listed above

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.So, what's the role all about? This is an exciting consulting position within the NiCE – Value Realisation Services (VRS) Organisation that is focused on owning our customers’ business case and driving increased adoption and bottom-line ROI value of NICE solutions.  The ideal candidate brings a strong mix consulting and operations experience to be positioned strongly to lead customers through Contact Center/CCaaS transformations.  As a seasoned consultant in a technology company such as NiCE, one must possess a unique blend of business, subject matter expertise, and technical savvy to lead the team to deliver bottom line business impact via our software solutions.  Candidates should be well experienced to act as a leading voice in maturing our VRS methodology and delivery of the services. This is a hands-on position where you are personally involved in direct consulting delivery of strategic advisory engagements. This consultant will work with multiple broad groups within NiCE and must have proven ability to influence cross-functional teams with or without formal “direct-line” authority and be effective working within a matrixed organisation.    How will you have an impact? Provides best practice guidance to ensure customer fully optimises their business process and maximises the full potential of the NiCE offered solution(s) Designs change strategy across people, process & technology Serves as lead consulting program leader, creating and owning the business case for a multi-tiered customer offering, leading multi-product projects Builds long-term relationships with customers, becoming a trusted advisor Provides individual accountability toward assurance of customer value realisation Identifies opportunities for additional engagements through service subscription renewals and business development Key Responsibilities:  Responsible for the successful delivery of business improvement projects resulting in highly satisfied, reference-able clients and measurable business improvement Discover, identify and create business cases for value of the product portfolio Lead consulting projects to drive process improvement and ensure business readiness for optimal adoption and utilisation of NiCE solutions across the enterprise Lead complete, comprehensive organisational change management with customer during engagements Own and manage senior stakeholder relationship and ensure his/her active participation and sponsorship over the course of the engagement Manage consulting program with continuous alignment with entire product implementation program Establish and monitor progress toward business success criteria for each product and BU Map business case into action items and solution design Align launch strategy with use case and value priorities Secure buy-in from different stakeholders (Internal and External) Provide input into technical project plan, overlaying VRS activities Single point of communication for business case activity and value realisation Hold all parties (customer included) accountable to agreed plan and pushes execution of action items Expertly handle large scale customer engagements and the VRS Program with Customers Provide expert guidance and deliver strong advisory best practice Project Management and consulting. Develop and deliver presentations with strategic recommendations for business impact via NiCE Solutions to senior executives Develop repeat business opportunities via successful delivery, credibility and thought leadership Independently perform financial analysis, benefits and impact analysis and create ROI models for the specific domain   Have you got what it takes? Minimum of 5 years of experience in functions and industries in which NiCE provides services Minimum 5 years of leadership experience in contact center environment preferred Experience with contact center enterprise software, and specifically deep domain experience in IVR/Routing/ACD and Work Force Management or Quality Management preferred Hands on experience of implementing AI/Digital products (such as Co-pilot) from a people and process perspective (such as understanding any Change Management, adoption or Value Realisation challenges). Experience in business process improvement and Customer Success Must have proven ability to independently and effectively handle Sr. Executive audience and stakeholders, provide thought leadership and gain strategic partnership Led project teams and demonstrated operational performance improvements with significant benefit. Demonstrated experience with leading organisational change, creating governance teams and center of excellence processes Certification or demonstrated expertise in organisational change management Multi-industry experience preferred Excellent verbal, written communication and presentation skills are a must Consulting firm or contact center BPO experience preferred. Education Bachelor’s degree in a related discipline. Six Sigma Certification or other Process Improvement Discipline preferred Change Management certification preferred   Enjoy NiCE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.   Requisition ID: 8406. Reporting into: Director, Business Consulting VRS Role Type: Individual Contributor #LI-HybridAbout NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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At Replicant, we believe AI should work for people, starting with customer service. That’s why we built a platform that helps contact centers resolve more requests, proactively identify issues, and improve agent performance with AI-powered conversation intelligence and AI agents that act like your best reps.Our AI agents handle millions of calls every month for Fortune 500 companies and high-growth innovators. From processing payments to booking appointments and authenticating users, they help customers get what they need instantly, 24/7. Meanwhile, our real-time conversation insights help contact center leaders coach better and improve every interaction.We’re leading the shift from legacy systems to AI-first service, powered by large language models (LLMs)and designed for enterprise scale, security, and empathy. If you’re excited by the potential of LLMs, voice AI, and building category-defining technology with a kind, ambitious team, you’ll love it here.We’re looking for a Software Engineer with strong development and communication skills to build and collaborate with designers to create world-class solutions for our customer-facing AI Agents. You will have the opportunity to improve our core services where necessary, implement clean communication between various internal and external systems, explore Conversational UIs, and help level up our growing team.What You'll DoWork directly with customers to architect, deploy, and improve cutting-edge AI Agents using Replicant’s platformTake end-to-end ownership over delivering exceptional customer experiences; from the customer implementation to the broader Replicant stackCollaborate with developers, QA, project teams, and customers to ensure our implementations exceed expectationsWork as an integrated member of a fully remote, cross-functional Agile team in the Delivery organizationOwn the integration of Replicant’s solution with customer systems, including speccing and designing APIs (as required)Guide customers through technical decisions and tradeoffs, serving as a technical advisor to their teamsProvide technical mentorship within the Delivery organization and be ready to assist when necessaryWorking with our internal tools and processes for creating AI AgentsParticipate in regular on-call rotations to support our systemsMinimal travel required to go on-site for customer requirement analysisWhat You'll BringB.S. or greater in Computer Science or a related field (math, physics, engineering) and strong CS fundamentalsProven track record with at least 1+ years of experience in JavaScript, Python, or TypeScriptStrong team player - we work in small product teams that work very closely together and are constantly collaborating in order to move as fast as possibleA strong sense of ownership and customer empathy — we work very closely with our internal teams and external customers in a high-paced environment. Maintaining positive working relationships with them is paramount to the success of our business.Excellent communication skills, comfortable speaking to external customersYou are interested in exploring the nuance and aesthetic of conversationsExperience working with REST APIs, Authentication (OAuth 2.0 and Basic)LI-remoteFor all full-time employees, we offer:🏠  Remote working environment that respects time zone differences💸  Highly competitive salaries, equity, and for US Employees, a 401(k) plan🏥  Top of the line healthcare (medical, vision, and dental)🏋️  Health and Wellness Perk🖥️ Equipment Stipend🌴  Flexible vacation policy✈️  Amazing team trips & offsites where you can find our CEO baking bread for the team🌺 Replicants are eligible for a 5-week sabbatical after being at the company for 4.5 yearsOur ValuesReplicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture.Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team.Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do.Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own.Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai and we’ll work to meet your needs.

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We’re looking for an experienced engineering leader to drive the development of software and machine learning applications that serve government partners, mission-critical public sector and enterprise use cases. You’ll be responsible for setting the technical vision, leading cross-functional teams, and delivering secure, scalable systems that help governments adopt and deploy AI effectively.  This is a highly strategic role with direct impact on how we design, build, and deploy intelligent systems. You’ll own organizational planning, technical vision, management, and execution across global teams. You’ll partner closely with product, operations, and commercial leaders to ensure engineering outcomes are aligned with business priorities. You’ll also be responsible for building and scaling a high-performing engineering organization in Qatar, serving as a key part of our international technical leadership. What you’ll do: Define and execute the technical strategy for core software and ML systems that power global products and services. Lead a multidisciplinary engineering team focused on reliability, scalability, and performance across production systems. Hire, structure, and grow a high-impact organization, with a strong focus on leadership development, technical excellence, and operational rigor. Collaborate closely with product, operations, and business teams to drive alignment between engineering investments and company goals. Own organizational and executional planning, including headcount, roadmaps, delivery milestones, and technical OKRs. Partner with senior leadership to inform broader business and product strategy based on technical opportunities and constraints. Champion engineering quality and velocity through thoughtful process design, tooling, and cultural leadership. We’re looking for someone who: Has 10+ years of engineering experience, with at least 5 years in senior leadership roles hiring and managing teams and managers. Has a strong track record of delivering production-grade ML and software systems at scale. Brings deep experience building and scaling engineering organizations across multiple geographies and domains. Operates with clarity and urgency in high-ambiguity environments, with a focus on driving results. Is a strong communicator and collaborator, with the ability to influence technical and business decision-making at all levels. Has a deep understanding of software architecture, infrastructure, and applied machine learning systems. Is passionate about building diverse, high-performing teams and fostering an inclusive engineering culture. Preferred: Fluency in Arabic and able to communicate effectively with government stakeholders and regional partners. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.As Technology Associate (Corporate Development) at Harmattan AI, you will focus on identifying and evaluating emerging technologies, companies, and capabilities that can accelerate Harmattan AI’s product roadmap and technical edge. Reporting to the Head of Finance, you will work closely with leadership and technical teams on technology scouting, product evaluation, and strategic fit, to assess targets, perform due diligence, and contribute to integration planning & execution.Your role is to bring deep technological insight to our growth strategy—bridging market intelligence with engineering rigor.ResponsibilitiesDeal Sourcing & ScreeningBuild structured overviews of emerging technologies relevant to autonomous defense systems (AI/ML, robotics, embedded systems, etc.)Identify and evaluate innovative startups, research labs, and industry players aligned with Harmattan AI’s strategic roadmapStay current with trends in defense, aerospace, autonomy, and dual-use technologiesDevelop market maps and identify priority segments and targets for Harmattan AIProactively track market activity to surface relevant acquisition and investment opportunitiesBuild relationships with founders, technical leaders, research institutions, advisors, investorsTechnical Due DiligenceWork with engineering leads to assess the maturity, scalability, and uniqueness of third-party technologies or productsAnalyze R&D pipelines, team capabilities, and potential integration pathwaysDevelop clear, data-driven business cases and investment memos to support internal decision-makingLead and coordinate cross-functional due diligence efforts with internal teams and external advisorsExecution & IntegrationSupport deal structuring and negotiation processesContribute to post-acquisition integration planning and execution trackingCandidate RequirementsEducation & Background: Master’s degree in a scientific or engineering discipline. Additional training in finance, business, or strategy is a strong plus. 2-4 years of work experience in engineering-related fields, finance, strategy or corporate development.Technical & Analytical Skills: Strong engineering foundation and ability to assess technological differentiators, product architectures, and R&D maturity. Experience in financial modeling, valuation, and investment analysis is a strong plus.Communication & Commitment: Clear and structured communicator, fluent in English, French is a plus. Able to engage effectively with both technical and business stakeholders. Autonomous, intellectually curious, and comfortable managing multiple fast-paced workstreams.Personal Attributes: Strong interest in defense, aerospace, robotics, or AI-enabled systems. Full alignment with Harmattan AI’s mission and willingness to go the extra mile to support our growth.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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Who we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Who you are We are seeking a meticulous and detail-oriented Data Annotator Intern to join our data team. In this role, you will play a crucial part in the development of our machine learning and AI models by accurately labeling, tagging, and categorizing large datasets. Your work will directly impact the performance and quality of our AI systems, requiring a high level of concentration and adherence to specific project guidelines. This is an entry-level position perfect for individuals who are organized, focused, and want to contribute to the cutting edge of technology. Duration: 6 Months What you'll do Accurately label and annotate data according to project specifications and guidelines. Work with various data types, including images, text, to perform tasks such as: Image Annotation: Drawing bounding boxes, polygons, or keypoints to identify objects in images. Text Annotation: Categorizing text, sentiment analysis, and named entity recognition. Review and quality-check annotated data to ensure a high level of accuracy and consistency. Communicate with team leads to clarify project guidelines or address challenges. Maintain data security and confidentiality at all times. What we're looking for Graduate or equivalent is required Exceptional attention to detail and a methodical approach to tasks Strong comprehension skills and the ability to follow complex instructions precisely Good communication skills to collaborate with a team Ability to work in a fast-paced environment and meet daily quality and productivity targets. While not required, these are a plus: Previous experience in data entry, quality assurance, or other detail-oriented roles is a plus, but not required. We provide all necessary training. Our Stack Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited) Datastores: MySQL, PostgreSQL, Snowflake Cloud: AWS Version control: Git & GitHub AI Tooling: Copilot on GitHub Observability: Datadog When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-AR1 #LI-OnsiteMetropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

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🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media.We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence. We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more. Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024. Headquartered in Palo Alto, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values: Be a Champion Team Prioritize Ruthlessly Ship fast, Quality Follows Obsess over customers Be a part of this exciting journey with us!About the roleHelp define the future of AI video agents. As the Senior PMM for OpusClip, the No.1 AI video agent and our flagship product, you'll be the architect of our GTM strategy, the translator between product brilliance and audience obsession, and the driver of bold GTM experiments that set us apart. You'll work with cross-functional teams to craft a brand narrative that not only leads the AI video space, but defines it.If you are a generalist wearing multiple hats, thrive in chaos, and have the taste, hustle, and storytelling chops to define what AI video agents mean for creators and make OpusClip the benchmark, we want you.What you'll ownYou lead product launches across the GTM cycle for OpusClip, and experiment with bold, creative ways to grow and engage users in the fast-moving AI video spaceYou own GTM content creation that fuels our growth and distributionYou are the go-to expert on our ICPs, use cases, and competitive landscape. You document insights and enable cross-functional teamsYou partner closely with leadership and cross-functional teams to shape our multi-product positioning, differentiate our brand, and create the defining category of AI video agentWe're looking for4+ years of solid experience in a fast-paced consumer technology company.You’re a generalist and/or a startup hacker:Versatile and hands-on across product marketing, content creation, growth hacking, building… you name itThrived in startups, ideally as an early team member who's taken products from 0 to 1You've launched a TON of features. You know what success and failure look likeYou have exceptional taste in positioning and visual storytellingYou have a good understanding of SOTA AI products and modelsYou have a relentless growth mindset, learning daily, reading widely, and embracing direct feedbackYou lead with impact. You have strong project management skills and ability to lead cross-functional initiativesYou are always comfortable hustling in ambiguity and chaos, and never hesitate to go beyond defined scopes to drive impactBonusYou are a creator yourselfYou have design skills to produce compelling images, videos, and marketing assetsEEOOpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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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 Enterprise Platform Engineer at Baseten, you'll architect and lead development of infrastructure and platform features for our enterprise customers and cloud partners. This includes enabling self-hosted and single tenant clusters, region-aware request routing, enterprise-grade data and security integrations, and more.EXAMPLE INITIATIVESYou'll get to work on these types of projects as part of our Infrastructure team:Multi-cloud capacity managementInference on B200 GPUsMulti-node inferenceFractional H100 GPUs for efficient model servingRESPONSIBILITIESArchitect and develop infrastructure and platform features tailored for enterprise customers, including self-hosted clusters, single-tenant environments, and cross-cloud workload orchestration.Lead technical initiatives to productize secure and scalable private connectivity solutions.Design and implement solutions addressing the complex regulatory and compliance requirements of our customers, including data residency, auditability, and enterprise data protection.Advance our self-hosted infrastructure offerings, focusing on capacity management, release management, and observability tooling.Collaborate on partner-focused initiatives to deliver secure, minimal Baseten deployments within partner environments.Evaluate and implement emerging virtualization technologies to enhance platform isolation and security.Independently develop technical specifications, collaborate cross-functionally to define product requirements, and drive projects from conception through execution.Provide mentorship and leadership on enterprise infrastructure best practices, fostering knowledge-sharing across engineering teams.REQUIREMENTSBachelor's degree or higher in Computer Science or related field5+ years of experience building distributed systems, cloud infrastructure, or Kubernetes-based solutions in production environmentsPast experience working with enterprise security, compliance, and privacy requirementsAdvanced understanding of distributed systems concepts, cloud architectures, and performance optimizationDemonstrated ability to independently manage technical projects, from planning and specification through implementationExcellent collaboration and communication skills, with experience coordinating across functional teams and directly with customersPreferred experience working with AI/ML systems or familiarity with MLOps practicesBENEFITSCompetitive 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 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 RoleAs Strategy & Operations Lead on the Agent Product Management team, you’ll drop into Decagon’s highest-priority initiatives – spinning up new capabilities, unlocking growth opportunities, and driving impact across the business.You’ll partner closely with Agent Product Management, Go-To-Market, and Product teams to design and execute projects from the ground up. One quarter you might architect a new customer-facing program; the next, you could be creating playbooks for the Agent PM team or partnering with our Head of Data Science to build reporting that drives the highest value for Agent PM.This role is perfect for a builder-operator who thrives on taking ideas from 0 to 1, loves tackling ambiguous problems, and wants a front-row seat to the inner workings of a fast-scaling AI company. We are in-person 5 days/week in our San Francisco office. ResponsibilitiesIn this role, you will:Lead high-impact strategic projects that span product, operations, customer success, and go-to-market.Stand up new functions and processes from scratch — setting vision, designing systems, and executing at speed.Deep-dive into the Decagon product and customer needs to identify leverage points for growth and efficiency.Collaborate with cross-functional partners to translate strategy into action and results.Continuously adapt priorities based on company needs and market dynamics. You may be a good fit if you have:5+ years of experience in program management or strategy and operations, ideally in B2B SaaS, or in management consulting.Proven ability to take a function or program from concept to operational excellence.A strong curiosity and ability to quickly develop deep expertise in technical products.Experience thriving in high-growth, fast-paced environments and managing multiple priorities at once.A collaborative mindset and ability to influence without authority across teams. Even Better If You Have:Familiarity with conversational AI tools or AI agent deployment.Experience working with both pre-sales and post-sales teams in a startup. BenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your best Compensation$180K – $230K + Offers Equity

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About HappyRobotHappyRobot is a platform to build and deploy AI workers that automate communication. 👉 See a demoOur AI workers connect to any system or data source to handle phone calls, emails, messages, and more—without human intervention.We focus on the logistics industry, which depends heavily on communication to move freight efficiently. Our customers are freight brokers, 3PLs, freight forwarders, shippers, warehouses, supply chain enterprises, and logistics tech startups.We’re backed by a16z and Y Combinator, and we’re growing fast. We're looking for rockstars with a relentless drive, unstoppable energy, and a true passion for building something great—ready to embrace the challenge, push limits, and thrive in a fast-paced, high-intensity environment.About the RoleWe’re looking for a Technical Support Engineer to be the bridge between our customers and our tech. You’ll be the first person users turn to when something breaks—or when they’re just a little confused. You’ll work closely with engineering, product, and ops to fix bugs, improve workflows, and make our AI workers smarter and more reliable.This is a high-trust, high-impact role. You’ll own customer-facing troubleshooting, root cause investigations, and escalations. You’ll turn noise into signal, helping the whole company learn faster from user pain.If you love solving puzzles, calming chaos, and making things just work, this one’s for you.Must-Have3+ years of experience in a technical support, solutions engineering, or SRE-like roleComfort working with APIs, logs, databases, and modern web stacks (we use Python, JSON, Postgres, etc.)Clear, calm written communication — especially when customers are stuck or frustratedCuriosity and grit — you’ll go deep to figure out what’s actually going wrongHigh ownership mentality — if something is broken, you fix it or escalate it fastComfort juggling a mix of tickets, tools, and ad hoc problem-solving every dayNice-to-HaveExperience with support platforms like Intercom, Linear, or ZendeskAbility to write scripts or tooling (in Python, Bash, or similar) to automate repetitive workflowsExposure to observability tools like Sentry, Datadog, or GrafanaExperience supporting AI/ML, data-intensive systems, or developer-facing toolsPrevious work in logistics, operations tech, or comms-heavy B2B platformsWhy Join Us?Fast Growth — Backed by a16z and YC, and growing like crazyTop-Tier Compensation — Competitive salary + equity in a rocketshipOwnership & Autonomy — You’ll own critical systems and shape user experienceReal Impact — Every customer you help keeps freight moving and businesses runningWork With the Best — Join a world-class team of builders, engineers, and operatorsOur Operating Principles Extreme OwnershipWe take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us.CraftsmanshipPutting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching.We are “majos” Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego.Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy.Talent Density and Meritocracy Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win.First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.

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About Scale AI Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a frontend-focused full-stack engineer to help build AI-powered applications that redefine enterprise workflows and push the boundaries of interactive AI. This role is ideal for someone who thrives in a fast-paced environment, enjoys working on a diverse set of projects, and has a passion for crafting high-quality, intuitive user experiences. At Scale, you'll work on a mix of cutting-edge customer-facing AI applications and internal SaaS products. Our engineering team powers projects like TIME’s Person of the Year AI experience (see it in action), where our AI technology helped shape one of the most iconic features in media. You'll also contribute to Scale’s GenAI Platform (SGP), a robust system that enables businesses to build and deploy AI agents at scale. Whether it’s developing interactive AI assistants, enterprise-grade web applications, or refining our core SaaS platform, you’ll play a crucial role in shaping how AI integrates into real-world applications. About Our FDE Team Generating high-quality data is the core problem our business solves. We aim to make producing and delivering high-quality data seamless and efficient for operators and customers. Our Team is building customer and operator-specific infrastructure to provide high-quality data with low turnaround time. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model-building organizations in the space, including the top AI research labs and government agencies.  Join us in shaping the future of Artificial General Intelligence. As a Forward Deployed Engineer, you'll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI. You will work with the world’s leading AI companies and government agencies to solve their most complex AI data-related problems. Responsibilities: Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies. Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions. End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure. Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation. Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product. Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap. You'll work on everything from large-scale system architecture to customer-facing front-end application design. Leadership Growth: This role offers a unique opportunity to lead critical projects, shape our engineering culture, and accelerate your career growth in the rapidly evolving field of Generative AI. You'll be positioned to become a future leader in a company defining the next era of technology. Requirements: At least 2 years of relevant experience is preferred Proven track record of shipping high-quality products and features at scale. Strong problem-solving skills and the ability to work independently or as part of a collaborative team. Desire to thrive in a fast-paced, dynamic environment. Ability to turn business and product ideas into engineering solutions. Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Ability to adapt quickly to the ever-changing world of generative AI. Excited to join a dynamic, hybrid team in either San Francisco or New York City. Preferred Qualifications: Experience with large-scale data processing and distributed systems. Familiarity with machine learning and AI concepts. Experience working directly with enterprise customers. Experience with cloud-based infrastructure. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco and New York, is: $156,000 - $235,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$156,000—$235,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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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 will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products.This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.What You’ll DoRetrieval over peta-byte scale documentsOrganizational-level interfaces to collaborate with AIManaging dedicated GPU capacity across 5+ regions1000-step planning agents that help take companies publicGovernment-level security for the world's most sensitive mattersEvaluating LLMs across a 10k+ leaf taxonomy of tasksInternet-scale data collection from over 50+ jurisdictionsWhat You Have6+ YoE (post-BS/MS) in a product focused full-stack software engineering role.Track record of building fast-growing SaaS products by leveraging PWA technologies.Track record of shipping highly intuitive products, strong attention to detail.Experience building backend platforms that can support multiple product lines.Strong programming skills and general Computer Science knowledge.Grit - experience working at early-stage startups is a plus.Compensation Range$220,000 -$280,000 USDPlease 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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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 Backend Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products.This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.What You’ll DoRetrieval over peta-byte scale documentsOrganizational-level interfaces to collaborate with AIManaging dedicated GPU capacity across 5+ regions1000-step planning agents that help take companies publicGovernment-level security for the world's most sensitive mattersEvaluating LLMs across a 10k+ leaf taxonomy of tasksInternet-scale data collection from over 50+ jurisdictionsWhat You Have6+ years (post-BS/MS) of backend-focused software engineering experience on product-centric teamsTrack record of building fast-growing SaaS products by leveraging PWA technologiesTrack record of shipping highly intuitive products, strong attention to detailExperience building backend platforms that can support multiple product linesStrong programming skills and general Computer Science knowledgeGrit - experience working at early-stage startups is a plusCompensation Range$220,000 - $280,000 USDPlease find our CA applicant privacy notice here.#LI-ML1Harvey 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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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 Infrastructure team builds and operates the foundations that power Decagon: networking, data, ML serving, developer platform, and real‑time voice. We partner closely with product, data, and ML to deliver high‑scale, low‑latency systems with clear SLOs and great developer ergonomics.We organize around five focus areas:Core Infra: The foundational cloud stack—networking, compute, storage, security, and infrastructure‑as‑code—to ensure reliability, scale, and cost efficiency.Data Infra: Streaming/batch data platforms powering analytics/BI and customer‑facing telemetry, including for customer‑managed and on‑prem environments.ML Infra: GPU and model‑serving platforms for LLM inference with multi‑provider routing and support for on‑prem/air‑gapped deployments.Platform (DevEx): CI/CD, paved paths, and core services that make shipping fast, safe, and consistent across teams.Voice Infra: Telephony/WebRTC stack and observability enabling ultra‑low‑latency, high‑quality voice experiences.Our mission is to deliver magical support experiences — AI agents working alongside humans to resolve issues quickly and accurately. About the RoleWe’re hiring a Senior Infrastructure Engineer to design, build, and operate production infrastructure for high‑scale, low‑latency systems. You’ll own critical services end‑to‑end, improve reliability and performance, and create paved‑paths that let every Decagon engineer ship confidently. In this role, you willDesign and implement critical infrastructure services with strong SLOs, clear runbooks, and actionable telemetry.Partner with research and product teams to architect solutions, set up prototypes, evaluate performance, and scale new features.Tune service latencies: optimize networking paths, apply smart caching/queuing, and tune CPU/memory/I/O for tight p95/p99s.Evolve CI/CD, golden paths, and self‑service tooling to improve developer velocity and safety.Support various deployment architectures for customers with robust observability and upgrade paths.Lead infrastructure‑as‑code (Terraform) and GitOps practices; reduce drift with reusable modules and policy‑as‑code.Participate in on‑call and drive down toil through automation and elimination of recurring issues. Your background looks something like this6+ years building and operating production infrastructure at scale.Depth in at least one area across Core/Data/AI‑ML/Platform/Voice, with curiosity to learn the rest.Proven track record meeting high availability and low latency targets (owning SLOs, p95/p99, and load testing).Excellent observability chops (OpenTelemetry, Prometheus/Grafana, Datadog) and incident response (PagerDuty, SLO/error budgets).Clear written communication and the ability to turn ambiguous requirements into simple, reliable designs. Even betterExperience being an early backend/platform/infrastructure engineer at another companyStrong Kubernetes experience (GKE/EKS/AKS) and experience across multiple cloud providers (GCP, AWS, and Azure)Experience with customer‑managed deployments BenefitsMedical, dental, and visionFlexible time offDaily lunch/dinner & snacks in the office

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YOUR MISSION: As a Senior Data Analyst on our Business Operations team, you’ll be at the heart of how we use data to drive growth, efficiency, and clarity across our commercial organization. You will partner with Sales, Marketing, Customer Success, and Product teams to transform raw data into insights that shape strategy and execution. Your work will help us understand performance, design smarter processes, and accelerate how our go-to-market teams operate. This is a unique opportunity to combine the technical depth of a data analyst with the strategic impact of a business operator. You’ll bring analytical rigor to some of our biggest questions, and build data products and frameworks that scale with the company. IN THIS ROLE YOU WILL: Take ownership of end-to-end analytics projects in GTM domain: from defining the problem, to pulling and modeling data, to visualizing insights, to telling the story. Partner with GTM leaders to design dashboards, KPIs, and reporting frameworks that drive accountability and decision-making. Run exploratory analyses to uncover growth opportunities, efficiency gaps, and trends across revenue streams and customer segments. Build and deploy predictive models such as customer lifetime value (LTV), churn risk, and upsell propensity to guide commercial strategy. Conduct time-series forecasting for metrics like product usage, revenue, and pipeline performance to support planning and target-setting. Work with analytics engineers to improve and scale our data models, ensuring high-quality, reliable sources for business-critical reporting. Define and maintain data tracking requirements across commercial tools (CRM, marketing automation, product analytics). Collaborate cross-functionally to turn strategic goals into measurable outcomes and provide clarity on performance against targets. WHAT YOU BRING TO THE TABLE: 5+ years of experience in data analytics or product analytics, with 3+ years focused on the GTM domain (Sales, Marketing, Customer Success) at a high-growth tech company or in consulting/finance with strong analytical and commercial exposure. Strong proficiency in SQL (comfort with Python or R for deeper analysis is a plus) Experience applying statistical and machine learning techniques (e.g., regression, classification, survival analysis, time-series forecasting) to real-world business problems. Experience with data visualization tools (Looker, Tableau, or similar, open source tools like Superset is a plus). Proven ability to design metrics, build dashboards, and tell compelling stories with data. Experience working with sales and marketing data (CRM systems like Salesforce, marketing automation tools, customer success platforms). A strong mix of technical skills and business acumen you can both dig into a dataset and explain what it means for the business. Excellent communication skills you can simplify complexity and influence stakeholders across all levels. Comfort working in fast-moving, ambiguous environments, with a proactive and collaborative mindset. WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture, and enjoy an immersive onboarding experience in Berlin to dive into our product and 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. A beautiful office with flair in the heart of NYC with all the conveniences, such as social area, snacks, and drinks. Competitive compensation and equity package. Flexible working hours, unlimited PTO, and travel opportunities. Access to a training and development budget for continuous professional growth. ClassPass membership, Nilo Health, Health insurance, weekly sponsored office lunches. Regular team events, game nights, and other social activities. Hybrid work environment - we believe in hiring the best talent, no matter where they are based. However, we love to build real connections and want to welcome everyone in the office on certain days   Your recruiting process at Parloa: Recruiter video call → Meet your manager → Quick SQL Test & Technical Interviews → Bar Raiser Interview  Salary Range$140,000—$165,000 USD  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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Location: SF Bay Area/RemoteType: Full-TimeAbout the Role:LMArena is looking for a Machine Learning Scientist to lead our open-source research, including open data set and code releases, advancing how the world evaluates and understands AI models in the open. You’ll design, run, and share new methods and experiments that reveal what makes models useful, trustworthy, and capable, grounded in human preference signals and released openly for the full ecosystem and research community to build upon.In this role, you’ll be responsible for taking our commitment to openness from principle to practice, curating high-impact datasets, developing new methodology and reproducible benchmarks, and releasing code that enables the research ecosystem to push AI evaluations forward. Your work will shape the public leaderboard, power community tools, and strengthen transparency in AI evaluation worldwide.This role is deeply interdisciplinary, working with engineers, product teams, marketing, and the broader research community to advance how we compare models, analyze preference data, and understand factors like style, reasoning, and robustness. You’ll work closely with GTM teams as our spokesperson when it comes to outreach for our open research efforts: strengthening research partnerships, expanding research community participation, and championing programs that grow and support our research network.If you’re excited by open-ended questions, rigorous evaluation, and scientific communication and outreach, you’ll find a meaningful home here. We’re looking for:Hands-on experience training large-scale models, including reward models, preference models, and fine-tuning LLMs with methods like RLHF, DPO, and contrastive learning.Strong foundation in ML and statistics, with a track record of designing novel training objectives, evaluation schemes, or statistical frameworks to improve model reliability and alignment.Fluent in the full experimental stack, from dataset design and large-batch training to rigorous evaluation and ablation, with an eye for what scales to production.Deeply collaborative mindset, working closely with engineers to productionize research insights and iterating with product teams to align research with user needs.Comfortable being a visible representative of LMArena, engaging openly with the research community, and building a strong personal brand to help shape AI research culture.Responsibilities:Design and conduct experiments to evaluate AI model behavior across reasoning, style, robustness, and user preference dimensionsDevelop new metrics, methodologies, and evaluation protocols that go beyond traditional benchmarksAnalyze large-scale human voting and interaction data to uncover insights into model performance and user preferencesCommunicate results with the broader research community via academic papers, educational content, conference talksCollaborate with engineers to implement and scale research findings into production systemsPrototype and test research ideas rapidly, balancing rigor with iteration speedPartner with model providers to shape evaluation questions and support responsible model testingContribute to the scientific integrity and transparency of the LMArena leaderboard and toolsBonus skills for this role:Skilled at public speaking, writing, and presenting research work to diverse audiences.Actively participates in conferences, panels, and online forums to foster relationships and thought leadership.Builds trust through transparent communication and consistent community engagement.Serves as a go-to contact for external researchers, journalists, and partners. Who is LMArena?Created by researchers from UC Berkeley’s SkyLab, LMArena is an open platform where everyone can easily access, explore and interact with the world’s leading AI models. By comparing them side by side and casting votes for the better response, the community helps shape a public leaderboard, making AI progress more transparent, and grounded in real-world usage.Why Join Us?Trusted by organizations like Google, OpenAI, Meta, xAI, and more, LMArena is rapidly becoming essential infrastructure for transparent, human-centered AI evaluation at scale. With over one million monthly users and growing developer adoption, our impact is helping guide the next generation of safe, aligned AI systems—grounded in open access and collective feedback.Our work is regularly referenced by industry leaders pushing the frontier of safe and reliable AI. Sundar Pichai, Jeff Dean, Elon Musk, and Sam Altman.High Impact: Your work will be used daily by the world’s most advanced AI labs.Global Reach: Develop data infrastructure powering millions of real-world evaluations, influencing AI reliability across industries at the top-tierExceptional Team: We are a small team of top talent from Google, DeepMind, Discord, Vercel, UC Berkeley, and Stanford.Requirements:PhD or equivalent research experience in Machine Learning, Natural Language Processing, Statistics, or a related fieldUses personal and professional platforms to amplify open research initiatives and invite collaboration.Strong understanding of LLMs and modern deep learning architectures (e.g., Transformers, diffusion models, reinforcement learning with human feedback) Proficiency in Python and ML research libraries such as PyTorch, JAX, or TensorFlowDemonstrated ability to design and analyze experiments with statistical rigorExperience publishing research or working on open-source projects in ML, NLP, or AI evaluationComfortable working with real-world usage data and designing metrics beyond standard benchmarksAbility to translate research questions into practical systems and collaborate across engineering and product teamsPassion for open science, reproducibility, and community-driven researchWhat we offer:The cash compensation for this position has not yet been finalized. Actual compensation will depend on job-related knowledge, skills, experience, and candidate location.Competitive salary and meaningful equityComprehensive healthcare coverage (medical, dental, vision)The opportunity to work on cutting-edge AI with a small, mission-driven teamA culture that values transparency, trust, and community impactCome help build the space where anyone can explore and help shape the future of AI.

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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.As a Formal Verification Lead at Tenstorrent, you will be at the forefront of applying advanced formal verification methods to thoroughly verify intricate CPUs and chiplets. This role involves driving the formal verification strategy, mentoring engineers, and fostering cross-team collaboration to uphold rigorous quality standards and functional specifications. Your direct contributions will be vital to developing groundbreaking technologies and ensuring their seamless and efficient operation. This role is hybrid, based out of Santa Clara, CA, Austin, TX, or Bangalore, IN. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.   Who You Are A formal methods practitioner who enjoys pushing the boundaries of formal methods to solve difficult verification problems. Demonstrated experience in applying formal methods to sign off designs or sub-components of designs. Detail-oriented with a desire to overcome complex challenges. Comfortable collaborating across design, microarchitecture, and verification teams to identify subtle logic bugs. Possess strong communication and excellent interpersonal skills for effective team collaboration.   What We Need Lead with 5+ years of hands-on experience in formal methods applied to hardware verification. B.S. or M.S. (or higher degree) in Computer Engineering, Electrical Engineering, or Mathematics with 5+ years of relevant work experience. Strong background and hands-on experience with formal methods and their application to hardware, software, or systems. Hands-on experience with VLSI, digital logic design, and verification techniques. Knowledge of digital logic is required. Proficiency in temporal logic assertion-based languages like SVA or PSL. Experience using EDA formal tools such as Jasper, VC-Formal, Questa, or Yosys for property checking and formal regression. Tool development experience is a plus.   What You Will Learn Leverage formal verification algorithms and techniques to prove correctness and identify bugs in design specifications and RTL for high-performance CPUs and chiplets. Collaborate with architects to develop formal micro-architecture and architectural specifications for intricate designs, including crafting innovative solutions for complex challenges. Prove the robustness of complex design micro-architectures. Architect correct-by-construction design methodologies to enhance formal verification efficiency and productivity and contribute to the evolution of formal methodologies. Apply artificial intelligence techniques to improve specifications, formal methods applications, and formal verification. Contribute to cross-functional product development across CPU, AI, and interconnect domains, and with partners.   Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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At TensorWave, we’re leading the charge in AI compute, building a versatile cloud platform that’s driving the next generation of AI innovation. We’re focused on creating a foundation that empowers cutting-edge advancements in intelligent computing, pushing the boundaries of what’s possible in the AI landscape.About the Role:We're looking for a Senior Fullstack Software Engineer to drive the development of cloud-based dashboards, monitoring tools, and internal systems. This role is ideal for someone who thrives in infrastructure-heavy environments, enjoys working across the stack, and can own systems end-to-end—from setup to testing to deployment. You'll be a key contributor in building highly reliable, performant, and scalable tools that support our engineering and operations teams.Responsibilities:Design and develop robust cloud dashboards for infrastructure monitoring and operations. Build and maintain system setup, configuration pipelines, and automation tooling. Architect and implement fullstack features across backend (Node.js, Go, Python) and frontend (React, Next.js, TypeScript). Develop scalable APIs, perform system integration, and ensure high-performance data handling (MongoDB). Own system testing strategy—unit, integration, and end-to-end—with a focus on reliability and performance. Collaborate cross-functionally with DevOps, Product, and QA for smooth delivery and deployment. Essential Skills & Qualifications:5+ years of fullstack engineering experience across cloud-native environments. Strong proficiency in Node.js, Go, Python, MongoDB, React, Next.js, and TypeScript. Experience building real-time dashboards and monitoring tools (Grafana, Prometheus, or similar a plus). Solid grasp of system architecture, testing practices, and performance optimization. DevOps familiarity (CI/CD, containers, cloud platforms—AWS/GCP/Azure). We’re looking for resilient, adaptable people to join our team—folks who enjoy collaborating and tackling tough challenges. We’re all about offering real opportunities for growth, letting you dive into complex problems and make a meaningful impact through creative solutions. If you're a driven contributor, we encourage you to explore opportunities to make an impact at TensorWave. Join us as we redefine the possibilities of intelligent computing.What We Bring:Stock Options100% paid Medical, Dental, and Vision insuranceLife and Voluntary Supplemental InsuranceShort Term Disability InsuranceFlexible Spending Account401(k)Flexible PTOPaid HolidaysParental LeaveMental Health Benefits through Spring Health

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At TensorWave, we’re leading the charge in AI compute, building a versatile cloud platform that’s driving the next generation of AI innovation. We’re focused on creating a foundation that empowers cutting-edge advancements in intelligent computing, pushing the boundaries of what’s possible in the AI landscape. About the Role:We are seeking an exceptional Kubernetes Architect to lead the design, development, and deployment of our next-generation infrastructure platform. This is a very senior-level role for someone who not only understands Kubernetes deeply but can write complex manifests, operators, and controllers from scratch, and architect resilient, secure, and performant systems that scale to millions of users.As a technical visionary and hands-on expert, you will lead the evolution of our cloud-native architecture, including designing serverless systems on Kubernetes, integrating with CI/CD, and ensuring observability, security, and cost-efficiency across environments.Responsibilities:Architect and implement end-to-end Kubernetes infrastructure for large-scale, cloud-native applications. Design and build serverless platforms on top of Kubernetes using technologies such as Knative, OpenFaaS, or KEDA. Develop and maintain Kubernetes custom resources (CRDs), controllers, operators, and admission controllers in Go or Python. Define multi-tenant, multi-region architecture supporting millions of users with high availability and low latency. Lead Kubernetes cluster lifecycle management (provisioning, upgrades, scaling, monitoring, troubleshooting). Collaborate closely with engineering teams to containerize applications, write Helm charts or Kustomize overlays, and standardize deployment practices. Implement infrastructure as code using tools like Terraform, Pulumi, or Crossplane. Lead efforts around observability, policy enforcement, cost optimization, and RBAC/security hardening within the cluster. Evaluate and integrate Kubernetes ecosystem tools (e.g., Istio/Linkerd, ArgoCD, Flux, Prometheus, Grafana, OPA, etc.). Mentor and upskill DevOps engineers and SREs in Kubernetes best practices.Essential Skills & Qualifications:8+ years of experience in cloud infrastructure, DevOps, or platform engineering roles. 4+ years of hands-on Kubernetes experience, including deep knowledge of the Kubernetes API, internals, networking, and storage. Proficiency in writing Kubernetes manifests, Helm charts, and custom Kubernetes controllers/operators (preferably in Go). Proven experience designing cloud-native systems that scale globally (multi-region, multi-cloud or hybrid setups). Experience with serverless technologies (Knative, OpenFaaS, AWS Lambda, etc.) in a production environment. Strong knowledge of cloud platforms such as AWS, GCP, or Azure. Experience with GitOps tools (ArgoCD, Flux), service meshes, policy engines (OPA/Gatekeeper), and CI/CD pipelines. Deep understanding of security, compliance, and resilience in containerized workloads. Additional/Preferred Qualifications:Contributions to Kubernetes open-source projects or CNCF-related tooling. Experience with service mesh design (Istio, Linkerd). Familiarity with eBPF, Cilium, or network-level observability. Background in building PaaS or developer platforms on top of Kubernetes. What Success Looks Like:A production-grade Kubernetes platform that can support millions of users globally, with self-healing, autoscaling, and strong observability. Developer teams can deploy serverless applications with ease, speed, and reliability. Infrastructure is resilient, secure, cost-optimized, and compliant. Kubernetes practices and tooling are well-documented, standardized, and continuously improved across the company. What We Bring:Stock Options100% paid Medical, Dental, and Vision insuranceLife and Voluntary Supplemental InsuranceShort Term Disability InsuranceFlexible Spending Account401(k)Flexible PTOPaid HolidaysParental LeaveMental Health Benefits through Spring Health

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At TensorWave, we’re leading the charge in AI compute, building a versatile cloud platform that’s driving the next generation of AI innovation. We’re focused on creating a foundation that empowers cutting-edge advancements in intelligent computing, pushing the boundaries of what’s possible in the AI landscape.About the Role:We're looking for a Senior SRE Engineer with a strong software engineering background to build and maintain highly scalable, secure, and resilient infrastructure. You’ll play a critical role in designing low-level systems, automating infrastructure with modern tooling, and ensuring platform reliability. This role is ideal for someone who’s comfortable working at the intersection of systems programming and DevOps—writing code in Go, Javascript, Rust, C, or Zig while also managing infrastructure with NixOS, Kubernetes, and Terraform.Responsibilities:Design, build, and maintain infrastructure systems using Linux and NixOS. Manage infrastructure-as-code with Terraform to provision and scale resources. Architect and operate Kubernetes clusters with a focus on performance, security, and automation. Write high-performance tooling and internal utilities in Go, Javascript, Rust. Develop and maintain CI/CD pipelines for infrastructure and code deployments. Monitor system performance, resolve issues, and improve reliability through observability tooling. Collaborate closely with engineering teams to support deployment strategies and development workflows. Essential Skills & Qualifications:5+ years in DevOps, Site Reliability, or Infrastructure Engineering roles. Deep experience with Linux systems and configuration management (preferably NixOS). Hands-on experience with Terraform, Kubernetes, and containerized environments. Proficiency in one or more low-level languages: Rust, C, Zig, Javascript, and Go. Strong understanding of systems programming, performance tuning, and operating system internals. Familiarity with CI/CD practices and infrastructure monitoring/alerting tools. We’re looking for resilient, adaptable people to join our team—folks who enjoy collaborating and tackling tough challenges. We’re all about offering real opportunities for growth, letting you dive into complex problems and make a meaningful impact through creative solutions. If you're a driven contributor, we encourage you to explore opportunities to make an impact at TensorWave. Join us as we redefine the possibilities of intelligent computing.What We Bring:Stock Options100% paid Medical, Dental, and Vision insuranceLife and Voluntary Supplemental InsuranceShort Term Disability InsuranceFlexible Spending Account401(k)Flexible PTOPaid HolidaysParental LeaveMental Health Benefits through Spring Health