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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role As the Programme Manager Analyst, you are the operational heartbeat of a critical national defence programme. Reporting directly to the Programme Lead, you will bridge the gap between high-level strategic objectives and the day-to-day realities of technology delivery. You will drive the operational rhythm of the programme, ensuring seamless coordination across multiple work streams to support the end-to-end delivery of a next-generation weapon system. This is a unique opportunity to apply your analytical and organisational skills in a high-impact, dynamic environment. The day-to-day Managing the Programme Management Office (PMO) function, including the maintenance of RAID logs (Risks, Assumptions, Issues, Dependencies), action trackers, and decision logs Driving the reporting cycle by coordinating and consolidating status updates from various technical and non-technical workstreams Facilitating key programme meetings, including status reviews and stand-ups, ensuring they are well-prepared, documented, and actions are tracked to completion Preparing high-quality briefing packs, dashboards, and presentations for senior leadership and key stakeholders Supporting the Programme Lead in tracking progress against the master schedule, identifying potential delays and dependencies before they become critical Acting as the central point of contact for information requests, ensuring a single source of truth for programme data and documentation Engaging with technical delivery teams to understand their progress, challenges, and resource needs, translating this into programme-level insights Supporting programme governance activities, helping to ensure compliance with established processes and standards You should apply if you Have 1-3 years of experience in a project/programme delivery or consulting role Come from a consulting background (e.g., Big 4, technology, or management consulting), where you have learned to structure problems, manage stakeholders, and deliver high-quality work under pressure Possess exceptional organisational skills, with a keen eye for detail and the ability to manage multiple competing priorities effectively Are a natural communicator, able to clearly and concisely convey complex information to both technical and non-technical audiences Have hands-on experience with core PMO activities, including risk and issue management, status reporting, and meeting facilitation Are highly proficient in Microsoft Office, particularly PowerPoint for creating compelling presentations and Excel for data analysis and tracking Are proactive, resourceful, and have a "can-do" attitude, ready to take ownership and support the team wherever needed Thrive in a fast-paced, complex environment and are comfortable with a degree of ambiguity Are eligible to obtain and maintain the necessary level of security clearance Have an interest in or prior exposure to the defence, aerospace, or public sector (this is desirable, but not essential) Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Dataiku is looking for an Engagement Manager to join the team. The ideal candidate is an energetic individual passionate about deploying big data technologies and using data science to solve business problems, and who will efficiently help customers drive their projects to get the most out of Dataiku DSS. As a part of the Global Services team, the Engagement Manager is responsible for driving smooth client implementations of our product. This position is open for full remote work from Riyadh, KSA. While all applications will be considered, priority will be given to Saudi nationals. How you'll make an impact  Effectively project-manage the delivery to our clients of Dataiku’s suite of professional services: such services include assisted software installation, customer training/coaching, and full development of data science projects for our customers Maintain consistent and concise internal communication across multiple teams Build and maintain relationships with key partners, both within Dataiku and among our customers Ensure customer satisfaction throughout the implementation process and minimise the time-to-value for our customers Contribute to the standardisation of our implementation processes while Dataiku continues its rapid growth  Set up our customers for success using Dataiku DSS from day one Contribute to the selling of services in the region Your skilled coordination of the deployment, training, and adoption of best practices will position our Customers and Partners to derive the maximum value from the software, contributing to their data-driven operational success. What you'll need to be successful #LI-Onsite 3+ years of experience in advanced analytics, data science projects, or consulting English - fluent, Arabic - native Demonstrated project management skills including leadership, communication, and customer management (Experience providing customer training is a plus) Experience in project managing complex projects and difficult stakeholders An interest in staying current on the latest techniques (Python, R, Scala, Hadoop, Spark, H2O, SQL…) Experience in enterprise data projects and familiarity with advanced analytics technologies are a plus Ability to explain data science concepts. You must be technically-minded, but you don’t have to be an engineer to do well here Organised, process-oriented, and resourceful Bachelor’s degree required PMP certification or similar training is a plus   What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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🌁 Location: San Francisco, in-person only💰 Salary: $220k - $380k annual salary + 📈 Equity👉 Who we areE2B is a fast growing Series A startup with 7-figure revenue. We've raised over $32M in total since our funding in 2023 and are supported by great investors like Insight Partners.Our customers are companies like Perplexity, Hugging Face, Manus, or Groq.We're building the next hyperscaler for AI agents.👉 About the roleYou'll be working closely with the CTO and our engineering team to make sure we ship our features on time. You'll influence technical decision, manage the engineering team, and drive prioritization with a focus on speed and quality.👉 What we’re looking for5+ years of experienceBeing comfortable with fast-pace field and environmentExcited to work in person from San Francisco on a devtool productDetail oriented with a great taste

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🌁 Location: San Francisco, in-person only💰 Salary: $220k - $380k annual salary + 📈 Equity👉 Who we areE2B is a fast growing Series A startup with 7-figure revenue. We've raised over $32M in total since our funding in 2023 and are supported by great investors like Insight Partners.Our customers are companies like Perplexity, Hugging Face, Manus, or Groq.We're building the next hyperscaler for AI agents.👉 About the roleYou'll be working closely with the CEO, marketing, and devrel to kick off our enterprise motion and build out the enterprise go-to-market team.You should understand the AI ecosystem and have a good understanding where the market is going and what AI agents need to operate effectively together with what are the enterprise needs.👉 What we’re looking for5+ years of experience in the devtool categoryBeing comfortable with fast-pace field and environmentBeing interested in the latest news in the AI fieldExcited to work in person from San Francisco on a devtool productNot being afraid to take ownership of the part of our product

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🌁 Location: San Francisco, in-person only💰 Salary: $250k - $380k annual salary + 📈 Equity👉 Who we areE2B is a fast growing Series A startup with 7-figure revenue. We've raised over $32M in total since our funding in 2023 and are supported by great investors like Insight Partners.Our customers are companies like Perplexity, Hugging Face, Manus, or Groq.We're building the next hyperscaler for AI agents.👉 About the roleYou'll be working closely with the CEO and engineering to define and implement our product roadmap.You'll also communicate with our customers to understand their needs and how we can help them together with our potential directions for expanding our product offering.👉 What we’re looking for5+ years of experience of building devtool and infrastructure productsBeing comfortable with fast-pace field and environmentBeing interested in the latest news in the AI fieldExcited to work in person from San Francisco on a devtool productDetail oriented with a great tasteExcited to work closely with our usersNot being afraid to take ownership of the part of our product

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🌁 Location: San Francisco, in-person only💰 Salary: $250k - $500k annual salary + 📈 Equity💻 Languages: 5+ years of experience in Go, Terraform✅ Skills: Building and managing large clusters, Linux, Networking, Kubernetes, Virtualization👉 Who we areE2B is a fast growing Series A startup with 7-figure revenue. We've raised over $32M in total since our funding in 2023 and are supported by great investors like Insight Partners. Our customers are companies like Perplexity, Hugging Face, Manus, or Groq. We're building the next hyperscaler for AI agents. 👉 About the roleYou will be building the next cloud platform for running AI software - a cloud where AI apps are building other software apps.Your job will be:Building a distributed system for millions and billions of AI agents running on E2BBuilding an orchestrator for placing sandboxes in the right nodesAdding support for sandbox live migrationsMaking sure our self-hosting DX is as smooth as possible (we’re open-source)Not letting our sandboxes take more than 200ms to start (starting with the user hitting enter)Scaling to millions and later billions of sandboxes running at the same timeBuilding an observability stack starting at the kernel level of virtual machinesWe’re looking for an infrastructure engineer passionate about making things run fast and efficiently, and running A LOT of them at the same time.If you aren’t afraid of going into the kernel of a VM and words like Firecracker, eBPF, UFFD, block device, L4 load balancing, noisy neighbor problem, or hugepages sound exciting to you, we want to hear from you!

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About Retell AIAt Retell AI, we're not just automating calls—we’re transforming how the world communicates. Our AI voice agents are reshaping sales, support, and customer engagement for leading brands. Backed by Alt Capital, Y Combinator, and top-tier investors, we've raised $4.7M in seed funding and hit $14M ARR with just 12 people.We’re one of the fastest-growing Voice AI startups and we're on a mission to become the standard for voice automation at scale. We're also one of the top-ranking startups at leanaileaderboard.com. About the RoleAs a Founding Senior Telephony Engineer, you’ll own the foundation of our telephony stack, building the critical systems that connect our AI voice agents to the real world. From low-level SIP features to integrating with global carriers and CCaaS platforms, your work will directly impact call quality, reliability, and customer experience. You’ll move fast, collaborate with customers, and help define the gold standard for AI voice infrastructure. Key ResponsibilitiesLead design and implementation of core telephony features, including SIP server enhancements and proxy logic.Build and extend our SIP infrastructure to support scalable, low-latency audio routing and call control.Collaborate with customers to support complex SIP integrations with CCaaS platforms and third-party providers.Evaluate and integrate with global telephony carriers to optimize deliverability, latency, and transfer logic.Investigate and debug call failures via PCAP analysis, SIP traces, and carrier logs to improve reliability.Work cross-functionally with platform and infra teams to ensure telephony systems scale with usage growth.Turn feedback from customer calls into robust and maintainable telephony improvements. You Might Thrive If YouHave 5+ years as a Telephony Engineer, VoIP Engineer, or equivalent low-latency networking role.Have deep experience with SIP, RTP, and debugging voice quality issues with PCAPs and trace tools.Have built or extended SIP proxies, PBXs, or call routing logic in production systems.Thrive in fast-paced, ambiguous environments and take ownership like a founder.Communicate clearly, collaborate well, and enjoy solving real-world problems with users.Familiarity with Asterisk/FreeSWITCH/Kamailio or relevant SIP proxy / SIP servers. Job DetailsJob Type: Full-time, 70 hr/week (50 hr/week onsite with flexible hours + 20 hr/week work from home)Cash: $215k–$290kEquity: 0.3%–0.6%Location: Redwood City, CA, USUS Visas: Sponsors Visa & Green Card Other Benefits100% medical, dental, vision insurance coverageUnlimited breakfast, lunch, dinner, and snacksGym and daily commute fee reimbursementInternet and phone bills covered Compensation PhilosophyBest Offer Upfront: Choose from three cash-equity balance options; no negotiation needed.Top 1% Talent: Above-market pay (top 5 percentile) to attract exceptional builders.High Ownership: Small teams, >$1M revenue/employee, and significant equity.Performance-Based: Offers tied to interview performance, not experience or past salaries. Interview ProcessOnline Assessment (30 min)A short coding challenge focused on practical problem-solving.Phone InterviewsTwo technical phone calls focused on coding ability and telephony problem-solving.Onsite / Virtual Interviews (2–3 hrs)A mix of coding, communication, and system design discussions to evaluate technical depth, real-world problem-solving, and collaborative thinking.

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Why you should join usTandem is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked – we have:Exponential organic growth: We have product-market fit and are growing rapidly through word-of-mouth. Tandem supports thousands of patients every day, is doubling doctor users every quarter, and is working with the largest biopharma companies in the world.An AI-first business model: Our approach is distinctly enabled by AI, but our business will get stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that will compound over time.Top tier investors: With the traction to support conviction in our model, we raised significant funding from investors (including Thrive Capital, General Catalyst, Bain Capital Ventures, and Pear VC) to build an exceptional team of engineers and operators.Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.All full-time roles are in person in New York. You can learn more about working with us in the last section of this page.About the roleAs an Infrastructure Engineer at Tandem, you’ll be our first dedicated hire focused on infrastructure and developer experience. You’ll own and evolve the core systems that make our engineering team faster, our platform more reliable, and our company more scalable. This role sits at the foundation of everything we build — from AI product development to partner integrations to high-stakes, high-throughput operations.You’ll have the opportunity to define our foundational infra practices — from CI/CD to observability to cloud architecture — and set the tone for how we scale. You’ll work across infrastructure, DevOps, and developer productivity, building systems that let us move fast without compromising stability or clarity.This is a demanding role, with a high level of autonomy and responsibility. You will be expected to "act like an owner" and commit yourself to Tandem's success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you.If you join, you will:Design and evolve CI/CD pipelines to improve speed, safety, and developer experienceScale and maintain core infrastructure — including Kubernetes clusters, PostgreSQL databases, ephemeral browsers, and data replication workflowsBuild and own our monitoring, alerting, and observability systems to ensure platform reliability and uptimeIntegrate AI-powered development tools to streamline engineering workflowsAnalyze and control cloud infrastructure spend while maintaining performance and reliabilityImprove internal tooling and developer environments to unblock execution at every layerPartner with engineering and product teams to anticipate scaling challenges and harden critical systemsWe’ll be most excited if you:Experience in infrastructure, DevOps, or SRE roles at fast-moving, product-driven tech companiesHands-on experience with cloud infrastructure (we use AWS; GCP and Azure are nice to have)Proficiency with infrastructure-as-code tooling (Terraform preferred)Deep familiarity with containerization and orchestration (Docker, Kubernetes)Experience with observability and monitoring systems (e.g., Grafana, Datadog)Proven ability to design and improve CI/CD pipelines (we use GitHub Actions)High NPS with your former teammatesThis is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.Working with usTandem is based in New York, with our full team working out of a beautiful and spacious office in SoHo. We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:Commit to audacity. "Whether you think you can, or you think you can't – you're right.”Do the math. Be rigorous, assume nothing.Find the shortest path. Use hacks, favors, and backdoors. Only take a longer road on purpose.Spit it out. Be direct, invite critique, avoid equivocation – we want right answers.Be demanding and supportive. Expect excellence from everyone and offer help to achieve it.Do what it takes to be number 1. We work hard to make sure we win.We provide competitive compensation with meaningful equity (for full-time employees). Everyone who joins early will be a major contributor to our success, and we reflect this through ownership and pay.We also provide rich benefits to ensure you can focus on creating impact (for full-time employees):Fully covered medical, vision, and dental insurance.Memberships for One Medical, Talkspace, Teladoc, and Kindbody.Unlimited paid time off (PTO) and 16 weeks of parental leave.401K plan setup, FSA option, commuter benefits, and DashPass.Lunch at the office every day and Dinner at the office after 7 pm.Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Tandem (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Tandem 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.

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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Perplexity is seeking an experienced AI Agent Software Engineer to help revolutionize the way people search and interact online. In this role, you'll build scalable and elastic agent platform to power wide span of agent workloads from search to research to browser. Responsibilities Architect and implement next-gen agent platform that powers all agentic products at Perplexity with high efficiency, reliability and scalability. Stay up-to-date on new features released from external LLM providers and in house researchers and provide unified interfaces to interact with different sizes of models. Improving the speed and quality of AI agent codebase and engineering processes to ensure we consistently deliver an amazing product experience. Hold a high quality bar to build generalized agentic & AI evaluation system to power all product online and offline evaluations. Collaborating across disciplines, including researchers, engineers, product managers, and designers, to fill gaps and ship products. Qualifications Past experience building agent applications with tool calling, MCP and context engineering. Understands how to make tradeoffs in using different models to achieve the goal with most cost efficient and reliable system design. Self-motivated with a willingness to take ownership of platform components. 4+ years of industry experience. [Preferred] Past experience with open source LLM post training and evaluation experiences. The cash compensation range for this role is $200,000 - $300,000. Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.   Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

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Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders.Replit is seeking a Sales Engineer (SE) with strong technical expertise to join our growing sales team. Candidates with solid coding ability, while excelling at communicating with non-technical audiences are ideal, as our primary users are Product Managers, Designers, and Operations professionals who use Replit’s AI coding agent to build business apps and new products.This position encompasses both pre- and post-sales support, working closely with our Account Executive and Account Managers throughout the customer lifecycle and spanning all segments from SMB to Enterprise. A significant portion of the role involves supporting and travelling to prospective customers to run hackathons with non-engineering teams.This role offers a distinctive opportunity for people who excel in client-facing situations and have a passion for solving business challenges with AI. You'll leverage your skills to effectively communicate Replit's value proposition: a world where anyone can create software using natural language.What You'll DoPartner with Account Executives and Account Managers to provide technical expertise throughout both pre-sales and post-sales customer lifecyclePlan, coordinate, and facilitate hackathons at prospective customer sites (typically 50-200 attendees per event)Travel up to 25% of the time to support on-site customer hackathons and technical engagementsConduct compelling product demonstrations tailored to non-technical audiences (PMs, Designers, Operations teams)Lead technical discovery sessions focused on use cases like prototyping, internal tool development, and workflow automationArticulate how Replit's AI coding agent empowers non-technical users to build applications without traditional codingDesign and present solutions that showcase how teams can leverage Replit for rapid prototyping and internal toolingCreate educational content and workshops for hackathon participants and customer teamsCollaborate with product and engineering teams to address technical questions and gather user feedbackProvide hands-on technical support during customer implementations and onboardingDevelop technical content including demo scripts, hackathon materials, and use case documentationStay current with Replit's evolving AI capabilities and new features for non-technical usersRequired Skills & Experience3+ years of experience in a Sales Engineer, Solutions Engineer, or technical sales role, preferably in SaaS or no-code/low-code toolsStrong coding skills at minimum entry-level/junior software engineer proficiencyExceptional ability to communicate complex technical concepts to non-technical audiences (PMs, Designers, Operations teams)Understanding of common business use cases for prototyping, internal tooling, and workflow automationExcellent presentation and demonstration skills with business stakeholders and non-technical usersProven ability to quickly learn and teach AI-powered development toolsStrong problem-solving skills and ability to guide non-technical users through technical challengesComfort with frequent travel (up to 25%) for on-site customer events and hackathonsSelf-motivated with excellent event planning and organizational skillsPassion for democratizing software creation and AI-powered development toolsBonus PointsYou're an active Replit userYou've worked at an early-stage startup or in developer toolsDegree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)Tools + Tech Stack for this roleReplitHubspot CRMZoomInfoClaySmartLeadLinkedInHashboard, HexThis role may not be a fit ifYou’re not based in the Bay area or willing to relocateYou lack an understanding of the software development lifecycle; have little to no coding knowledgeYou’re not passionate about AIYou don’t enjoy being in client facing roles where most of your day is talking to othersYou’re not comfortable with frequent travel (up to one week per month average)Full-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits📱 Monthly Wellness Stipend🧑‍💻 Autonoumous Work Environement🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office AmenitiesWant to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED TalkInterviewing + Culture at ReplitOperating PrinciplesReasons not to work at ReplitTo achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.

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About DelveDelve is building an AI-native platform that transforms compliance from tedious, manual work into effortless, automated workflows.We’re the fastest growing compliance company on the market. Delve helps hundreds of companies save hundreds of hours (e.g. Lovable, 11x, WisprFlow) by eliminating busywork and helping teams focus on what matters — building securely.Backed by Insight Partners, General Catalyst, Y Combinator, and top-tier investors, we just raised our $32M Series A and are scaling quickly.Our team includes former founders, Olympiad medalists, and engineers from OpenAI, Stanford, MIT, and Berkeley. We’re on a mission to eliminate busywork for humanity — starting with compliance.About the RoleWe’re hiring a Senior Full-Stack Engineer to own major product initiatives end-to-end. You’ll work across React, TypeScript, Node.js, and Postgres to ship high-impact features that power AI-driven workflows and core user experiences.You’ll get high-level product direction and be trusted to lead implementation — from system design to launch — while mentoring other engineers and helping shape the future of the platform.This is a role for someone who thrives in ambiguity, unblocks themselves and others, and brings strong judgment to the table. You know how to balance fast iteration with long-term quality, and you’re ready to help level up the team around you.What You’ll DoLead system design and architecture for core features and infrastructureShip full-stack product features across our core app and AI-powered workflowsMentor and pair with junior and mid-level engineers; foster a culture of technical excellenceTranslate high-level product goals into scalable backend and frontend implementationsMake smart tradeoffs in speed, scope, and UX — without excessive handholdingCollaborate closely with engineers, product, and design to move quickly and stay alignedTouch every part of the stack: React, Next.js, Node.js, Postgres, ORM toolsOwn major product areas and be accountable for their reliability, performance, and extensibilityWhat We’re Looking For5–7+ years of experience building production-grade productsStrong technical breadth across the stack — React, TypeScript, TailwindCSS, Node.js, PostgresDeep experience with system design and architecture decisions in fast-moving environmentsA track record of ownership: you've led complex features or systems end-to-endPassion for mentoring and sharing knowledge with teammatesExcellent product sense: you understand what good UX looks like and how to deliver itHigh agency, low ego: you move fast, ask smart questions, and lift the team around youWhy In-Person SF MattersYou’ll work shoulder-to-shoulder with an exceptional team:Ex-Stanford, MIT, and Berkeley engineers with dozens of papersInternational Olympiad winners and medalistsEx-OpenAI engineers with 10+ years of domain expertise for mentorshipFormer founders who’ve closed $500k in revenue at 19 and hired 40+ peopleDecisions happen live, not in backlogged async threadsA players work with A players. There’s a buzzing energy in the office. Hit the whiteboard with anyone here and you’ll understand why.Benefits100% medical, dental & vision coverage (for you; partial for dependents)401k with employer matchUnlimited PTO + federal holidaysGrubHub stipend + all meals covered in-officeGym membership coveredFrequent team dinners, events, and off-sitesThe opportunity to eliminate busywork for humanityJoin UsIf you want to build real features fast, shape the system under the hood, and mentor the next generation of engineers — all with a world-class team — apply now.

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Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. Persona’s founding team has a decades-long history in humanoid robotics, bionics, and product development delivering robust hardware that has touched the stars, worked miles below the surface of the ocean, roamed Disney Parks, and has even been featured on a US postage stamp. Our mission is focused squarely on shipping beautiful, reliable products at massive scale, while building a customer-focused team to achieve these aims.Role Overview:We're looking for an exceptional Product Design Engineer who dreams big, thrives on challenges, and loves seeing their designs come to life in the hands of customers. You have an eye for design and believe magic is in the details. We are primarily interested in candidates who have shipped products at scale.As an inaugural product design engineer at Persona, you will have an incredible opportunity to shape not only the functionality but the entire user experience of Persona's humanoid robots, while also helping set the design culture of the company. If you're passionate about creating technology that seamlessly integrates into people's lives and want to be part of a world-class team, we'd love to hear from you. Your Role:Design hardware that will scale from initial concepts to mass productionWork directly with the industrial design team to balance needs of engineering and design to integrate complex surface geometry with structures, actuators, sensors and electronicsCreate and refine mechanical designs for advanced humanoid robotics, including actuators, manipulators, and integrated systems.Own your designs from initial sketches through CAD modeling, prototyping, manufacturing, testing, and deploymentGenerate comprehensive documentation, including CAD drawings, block diagrams, test plans, fabrication, and assembly instructions.Interface with external manufacturing partners to optimize designs for manufacturing, testing, and assembly.Engage hands-on in the lab, transforming your designs from ideas to production systems through rapid, iterative, development cycles.Collaborate closely with cross-functional teammates (electrical, software, controls, UX/UI, and designers) to ensure seamless integration across the product.Solve fascinating engineering challenges daily, pushing the boundaries of robotics technology.We’re Looking For:A passion for precise, elegant, scalable design.Proven track record bringing products to market, and shipping at volume.Bachelor's, Master's, in Mechanical Engineering, Industrial Engineering, or related fields.3+ years of experience designing consumer products or premium industrial/medical productsExperience designing for high-volume mass manufacturing DFM processes such as cnc machining, injection molding, overmolding, casting, sheet metal, stamping, forming, etc.Experience with materials selection including metals, plastics, composites, etc.Experience with prototyping tools, manufacturing techniques, and material selection.Expert CAD user (Onshape, SolidWorks, Catia, Creo, NX, Fusion, etc.)Strong mastery of mechanical engineering fundamentals.A friendly, collaborative mindset, strong communication skills, and excitement to work hands-on in a dynamic, supportive team environment; design without ego.Proficient understanding of tolerance analysis and GD&T.A comprehensive portfolio demonstrating your specific contributions to projects.Preferred or Bonus Qualifications:Experience designing cable harnesses, wire routing, or flexible PCBsExperience designing optical assembliesPreference toward working interdisciplinarilyExperience collaborating with industrial designers, human factors, or UX/UI teamsSkilled at complex surface geometry and tight packaging constraints in CADComfortable working with machine shop tools (mill, lathe, etc.)Keen attention to detail and craftsmanship, including fit and finishWhy join Persona AI?You'll shape technology that's redefining the possibilities of robotics and human interaction.Work alongside passionate teammates who value diversity, creativity, and continuous learning.Enjoy full access to advanced prototyping tools, labs, and the freedom to experiment and innovate.We offer competitive compensation, excellent benefits, flexible work environment, and equity opportunities.Not sure if you meet all the listed qualifications? That’s okay! We encourage you to apply anyway. Our needs are constantly evolving, and we're always looking for talented individuals who can grow with us. You might be exactly who we’re looking for — even if it’s for a role we haven’t thought of yet. Persona AI embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our work will be.

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About the Role: As Head of Delivery Operations at Scale, you will be responsible for driving world-class execution across our delivery organization, ensuring our most complex, high-impact AI and ML programs are executed with precision, efficiency, and customer obsession. Your mandate spans both tactical execution and strategic leadership, from rolling up your sleeves to solve project-level bottlenecks, to scaling the systems, tooling, and people that will define the next generation of delivery excellence at Scale. You’ll partner cross-functionally to deliver exceptional outcomes for our customers, while continuously pushing the boundaries of what operational excellence looks like in AI. You will help shape the direction of the delivery org and ensure we're set up to win as we scale with the most ambitious AI customers in the world. This role is ideal for someone who thrives on owning complex problems, delivering results fast, and scaling teams in a dynamic, high-growth environment.  You will: Lead and manage a team of senior operations leaders, guiding the development, growth, and performance of a rapidly scaling organization. Oversee and own end-to-end operation execution across multiple complex customer programs, ensuring outcomes are met with speed, quality, and reliability. Partner closely with Product, Engineering, and Go-To-Market teams to build systems and workflows that are repeatable, efficient, and tailored to customer needs. Dive deep into metrics and operations to identify bottlenecks and opportunities, and drive continuous improvements across processes and tools. Act as a thought partner to executive leadership on how we evolve and scale our delivery capabilities in service of the company’s broader strategy. Define and reinforce delivery standards, SLAs, and execution excellence across all customer programs. Champion a culture of ownership, innovation, and high performance across the delivery organization. Ideally, you’d have: 6+ years of experience in scaling large-scale operational efforts at high-growth startups, or in founding/co-founding and operating fast-paced companies. A proven ability to build and lead high-performing teams, especially in execution-heavy or customer-facing functions. Deep operational fluency. You are data-driven, detail-oriented, act with urgency, and are energized by complex, cross-functional challenges. Experience designing and scaling systems, processes, and teams across multiple customer segments and product lines. Strong product intuition and comfort working closely with technical teams. Experience working in or adjacent to AI/ML, or in tech-forward services organizations (a plus, but not required).    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:$196,000—$245,000 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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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is:Annual Salary:£105,000—£160,000 GBPLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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About Brain Co.Brain Co. is at the leading edge of productionizing artificial intelligence for real world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real world problems in various governments where manual work is still dominant. We are seeking visionary AI/ML Engineers with experience in GenAI and ML modeling, where you will convert groundbreaking research into real-world applications that revolutionize industries, boost human creativity, and address complex challenges.About The RoleAs an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.In This Role, You Will:Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.You Might Thrive In This Role If You:Hold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.Have at least a high level familiarity with the architecture and operation of large language models.Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.Possess a strong foundation in data structures, algorithms, and software engineering principles.Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.Can work collaboratively with cross-functional teams.Thrive in fast-paced environments where priorities or deadlines may compete.Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.BenefitsCompetitive salary plus equityDaily lunchesCommuter benefits401(k)Medical, Dental and VisionUnlimited PTOCompensationThe salary range for this role is $155,000 to $265,500 for this position. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range listed is just one component of Brain Co.'s total compensation package for employees. Other benefits may include stock options, an unlimited paid time off policy, and coverage on medical, vision and dental insurance.

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About Us:We are establishing the first distributed Al infrastructure dedicated to personalized Al. The evolving needs of a data-driven society are demanding scalability and flexibility. We believe that the future of Al is distributed and enables real-time data processing at the edge, closer to where data is generated. We are building a future where a company's data and IP remains private and it's possible to bring large models directly to consumer hardware without removing information from the model.Role Overview: As a Staff R&D Software Engineer specializing in Simulation, you will lead the development of cutting-edge photo-realistic training environments for robotics applications and synthetic data generation pipelines for computer vision model training. You'll architect and build advanced simulation systems using XR/AR/VR technologies, physics engines, and optimized rendering pipelines that bridge the gap between virtual training and real-world robotics deployment. This role combines deep technical expertise in game engines, computer graphics, and simulation with research-driven innovation to create breakthrough solutions in robotics simulation. Key Responsibilities:Design and architect photo-realistic simulation environments for robotics training scenarios using Unreal Engine, Unity 3D, or similar platformsDevelop advanced rendering pipelines optimized for synthetic data generation and real-time robotics simulationBuild robust physics simulation frameworks that accurately model real-world robotics use cases and sensor interactionsCreate scalable synthetic data generation systems for training computer vision models with domain randomization techniquesImplement cutting-edge rendering techniques including ray tracing, PBR materials, and advanced lighting systemsOptimize simulation performance across diverse hardware platforms and deployment environmentsResearch and prototype novel simulation methodologies for robotics training applicationsCollaborate with robotics and ML/CV teams to define simulation requirements and validate training effectivenessMentor junior engineers and contribute to technical standards and best practices across the R&D teamPresent research findings and technical solutions to leadership and external stakeholdersStay current with academic research in simulation, computer graphics, and robotics to drive innovation Qualifications & Skills:7+ years of professional software development experience with 4+ years specializing in simulation, game engines, or XR technologiesExpert-level proficiency in C++ and/or C# with demonstrated experience in performance optimization and debuggingExtensive hands-on experience with Unreal Engine and/or, Unity 3D including custom shader development and rendering pipeline optimizationStrong foundation in 3D mathematics, linear algebra, computer graphics fundamentals, and physics simulationProven track record developing and optimizing VR/AR/XR applications across multiple platformsExperience with robotics simulation frameworks (Webots, Gazebo, Isaac Sim, AirSim, or similar) or willingness to quickly learnUnderstanding of synthetic data generation techniques and computer vision model training requirementsStrong software engineering practices including version control, code reviews, and collaborative developmentExcellent problem-solving skills and ability to work independently on complex technical challengesStrong communication skills with ability to explain complex technical concepts to diverse audiencesPreferred Qualifications:Startup experience with ability to thrive in fast-paced, resource-constrained environmentsPrevious work in robotics, autonomous systems, manufacturing, or industrial automationExperience with advanced rendering techniques such as ray tracing, global illumination, and GPU programming (CUDA, compute shaders)Knowledge of cloud computing platforms and distributed simulation systemsExperience with procedural content generation and algorithmic asset creationBackground with AR/VR hardware platforms (HTC Vive, Oculus, HoloLens, etc.)Published research, patents, or open-source contributions in simulation, computer graphics, or roboticsExperience with digital twins or industrial simulation applicationsLeadership experience mentoring technical teams and driving cross-functional collaborationFamiliarity with robotics kinematics, dynamics, and sensor modeling principlesWe at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.$200/mos Health and Wellness Stipend$400/year Continuing Education CreditFlexible work weekFree parking, for in-office employeesUnlimited PTOParental, Bereavement LeaveSupplemental Life InsurancewebAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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Jasper is the leading AI marketing platform, enabling the world's most innovative companies to reimagine their end-to-end marketing workflows and drive higher ROI through increased brand consistency, efficiency, and personalization at scale. Jasper has been recognized as "one of the Top 15 Most Innovative AI Companies of 2024" by Fast Company and is trusted by nearly 20% of the Fortune 500 – including Prudential, Ulta Beauty, and Wayfair. Founded in 2021, Jasper is a remote-first organization with team members across the US, France, and Australia.About The RoleWe are looking for a visionary VP of Revenue Operations to lead and optimize our revenue operations across sales, marketing, and customer success. In this role, you’ll collaborate with our executive team to align go-to-market strategies with operational execution, ensuring seamless processes that drive sustainable growth in the fast-evolving AI landscape.As a strategic and results-driven entrepreneurial leader, you’ll design scalable systems, enhance existing processes, and cultivate a high-performing, data-driven culture. This role is ideal for someone who excels in fast-paced environments, is passionate about leveraging AI to transform traditional methods, and inspires operational excellence while fostering alignment across teams.This fully remote role reports to the Chief Revenue Officer and is open to candidates located anywhere in the continental US. What you will do at JasperBuild and execute a data-driven revenue operations strategy across our GTM organization.Collaborate across departments to ensure seamless communication, alignment, and execution of revenue-generating initiatives.Design and refine pipeline models to effectively manage opportunities through the funnel, providing actionable insights to the sales leadership team.Implement robust systems that can seamlessly scale with Jasper’s rapid growth trajectory, setting new operational benchmarks.Own sales and partner forecasting models, delivering accurate predictions that inform Jasper’s business decisions.Provide executive-level reporting on pipeline health, forecast accuracy, and growth opportunities, turning complex data into actionable insights.Develop and execute sales-led pricing strategies that drive customer value and maximize revenue growth for Jasper.Oversee the creation and implementation of impactful sales compensation frameworks that align with company objectives, while motivating teams around the right behaviors.Build, lead, and mentor a team of revenue operations professionals.Stay ahead of emerging technologies, applying AI to solve challenges in pipeline management, forecasting, and revenue visualization.What you will bring to Jasper 15+ years of experience in revenue operations or related disciplines, with at least 5 years in leadership roles at high-growth startups or SaaS organizations.Demonstrated success in building scalable revenue systems, including experience with sales pipeline optimization, forecasting, consumption pricing, and compensation models.A self-starter who thrives in dynamic environments, making thoughtful, data-driven decisions with speed and precision.Hands-on, resourceful, and passionate about solving complex challenges in real-time.A deep knowledge of SaaS business models and familiarity with sales and marketing metrics, CRMs (Salesforce, HubSpot), and analytics tools.An eagerness to explore how AI-driven solutions can redefine traditional approaches and drive efficiencies in revenue operations.Exceptional communication skills, with the ability to engage and influence diverse stakeholders across technical, financial, and operational roles.Strong leadership background that promotes inclusivity, inspires teams, and drives consistent performance improvements.Deep expertise in data analysis, with a proven ability to translate raw numbers into actionable strategies that impact revenue performance.Compensation Range At Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range offered for this role is $280,000-$310,000. Compensation may vary based on relevant experience, skills, competencies, and certifications.Benefits & PerksComprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families401(k) program with up to 2% company matchingEquity grant participationFlexible PTO with a FlexExperience budget ($900 annually) to help you make the most of your time away from workFlexWellness program ($1,800 annually) to help support your personal health goalsGenerous budget for home office set up $1,500 annual learning and development stipend 16 weeks of paid parental leaveOur goal is to be a diverse workforce that is representative at all job levels as we know the more inclusive we are, the better our product will be. We are committed to celebrating and supporting our differences and that diversity is essential to innovation and makes us better able to serve our customers. We hire people of all levels and backgrounds who are excited to learn and develop their skills. We are an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state or federal laws.By submitting this application, you acknowledge that you have reviewed and agree to Jasper's CCPA Notice to Candidates, available at legal.jasper.ai/#ccpa.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Team The AI search team aims to make Grok the best AI system for research, information retrieval and gathering real-time information from various sources. The team is responsible for curating high quality data and hard problems for RL training, making evaluations to benchmark AI systems and capture product issues, and building tools to unleash the capabilities of reasoning models. About the Role In this role you might: Build evaluation benchmarks to the next generation of search/research agents. Innovate and curate challenging RL data with scalable synthetic/human data pipeline Innovate data, verification and RL algorithms to build the best open-ended research system. Build various tools to help model exploring seamlessly on the internet. Exceptional candidates may have: Experience with LLM and information retrieval evaluation data curation Experiences with human/synthetic data generation for RL Experience with AI search or Agentic search systems Strong engineering abilities Location The role is based in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. Researcher technical sessions (2): These sessions will be testing your ability to formulate, design and solve concrete problems in real world with LLM. It can be research or engineering, depending on background/experience. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Who we are:Our mission is to make the internet safer and more enjoyable for everyone. We combine state of the art AI technology and human judgment for best in class content detection, harm mitigation and safety monitoring. We are a VC-backed startup, founded by senior Google, YouTube, TikTok and Reddit executives, working with some of the world’s largest online platforms, and fast-moving startups. If you are looking for an opportunity to apply AI technology to real-world business use cases at a significant scale, and an opportunity to shape the future of how we can safely enjoy user generated online content, we’d love to hear from you.About the Role: We are seeking a Backend / Systems Engineer to help build a flexible, robust, and high-performance backend architecture that serves diverse use cases across customers and product lines. Your work will be critical in enabling our AI engineers, analysts, and data scientists to rapidly prototype, iterate, and deploy workflows, services and data pipelines that leverage large language models (LLMs).This is a high-impact role that blends backend engineering with thoughtful system design to accelerate product development and real-world impact.What You'll Do:Design and build extensible backend systems that support flexible configurations for different customers and content types.Develop infrastructure that interfaces cleanly with LLMs—enabling prompt engineering, context injection, and modular evaluation workflows.Build tooling and platforms that enable fast iteration by AI engineers and analysts, including declarative pipelines, parameterized jobs, and reproducible experiments.Prioritize ease of deployment, integration, and testing—both for internal teams and external partners.Collaborate closely with product, data, and policy teams to translate nuanced safety needs into scalable, maintainable software systems.What We’re Looking For:3+ years of experience in backend systems or infrastructure engineering.Strong software engineering skills in Python, Go, Java, or equivalent.Experience designing scalable APIs, backend systems and data pipelines.Familiarity with LLM-based systems (e.g., prompt management, context formatting, batch inference, prompt-tuning workflows).Strong understanding of cloud-native infrastructure (e.g., AWS, Lambda, Kubernetes, CI/CD pipelines).Passion for building systems that unlock velocity and experimentation for cross-functional teams.Nice to Have:Background in trust & safety, or content moderation.Familiarity with Django, Snowflake, React, Step functions.Experience with LLM-Ops and DevOps.Why Join Us?Work with a group of renown industry leaders in AI and Online Safety to shape the future of the industry.Ample opportunity and support for growth, as a technical individual contributor, or manager. Apply AI technology to real-world business use cases at a significant scale, with blue chip customersWork as part of a team where you can know everyone, but don’t have to do everyone’s job.Competitive compensation, comprehensive benefits, and hybrid in-office policy.Pay range is specific to the U.S. – Bay Area; compensation may differ by region.The pay range for this role is:150,000.00 - 250,000.00 USD per year (Palo Alto)

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About the roleWe’re looking for a talented and creative Software Engineer to join our Safety Engineering team at Character.AI! In this role, you will be at the forefront of designing, developing, and scaling robust backend systems and leveraging applied machine learning to tackle critical integrity and safety challenges. You will be architecting and implementing innovative solutions in a key role in addressing the unique safety challenges that come with human-to-AI interaction—bringing your technical expertise to the table as we define industry best practices in this emerging space. This is a high-impact role where you will provide technical leadership, drive innovation, and contribute to the core of our platform's trustworthiness. What you'll doArchitect & Build: Design, develop, and maintain highly scalable, resilient, and performant backend systems that power our integrity and safety features.Lead Complex Solutions: Lead the technical design and implementation of sophisticated backend solutions for detecting, preventing, and mitigating a wide array of integrity risks. This includes traditional issues (e.g., content classification, spam, etc.) as well as emerging threats related to Generative AI (e.g., misuse of generative models, generation of harmful or biased content, etc).Apply Machine Learning: Conceptualize, develop, deploy, and iterate on machine learning models and algorithms to address complex integrity challenges. This includes areas like content classification (including AI-generated content), anomaly detection, risk scoring, behavior analysis, and developing safeguards for Generative AI systems (e.g., robust content filtering, bias mitigation techniques, and output monitoring).Cross-Functional Collaboration: Work closely with product managers, data scientists, AI researchers, security teams, and operations to define requirements, design innovative solutions, and deliver impactful integrity systems, especially for Generative AI products.Technical Strategy & Roadmap: Drive the long-term technical vision and roadmap for backend integrity systems and applied ML capabilities, with a keen eye on addressing Generative AI safety concerns with an alignment with company objectives.Mentorship & Leadership: Provide technical guidance and mentorship to other engineers on the team and across the organization, fostering a culture of engineering excellence.Champion Best Practices: Advocate for and implement best practices in software engineering, distributed systems design, data engineering, and the full lifecycle of ML model development, including specific considerations for the safety and ethics of Generative AI.System Optimization: Continuously analyze and improve the performance, scalability, reliability, and cost-effectiveness of existing integrity platforms and ML models.Stay Current: Keep abreast of emerging threats, new technologies, and advancements in backend engineering, distributed systems, the application of machine learning to trust and safety, and the evolving landscape of Generative AI safety research and mitigation techniques. Who you are8+ years of professional software engineering experience, with a strong emphasis on backend systems development.Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related technical field.Proven track record of designing, building, and operating complex, large-scale, and highly available distributed systems.Expertise in one or more backend programming languages such as Python, Go, Java, or C++.Hands-on experience in applying machine learning techniques to solve real-world problems, specifically with demonstrable experience in addressing integrity, trust, or safety challenges.Solid understanding of the machine learning lifecycle, including data gathering and cleaning, feature engineering, model selection, training, validation, A/B testing, deployment, and operational monitoring.Exceptional problem-solving abilities, with a knack for tackling ambiguous and technically challenging problems.Proven ability to work in a fast-paced development environment and deliver timely results.Strong communication, interpersonal, and leadership skills, with the ability to articulate complex technical concepts to diverse audiences. You will be a great fit if:You care deeply about Trust & Safety and see it as a value-add to the business Prior experience in a dedicated Trust & Safety, Integrity, or Risk engineering team.Contributions to open-source projects or publications in relevant fields.Experience leading large, cross-cutting technical projects.About Character.AICharacter.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.