AI Software Engineer Jobs

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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

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About Norm AiNorm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation. We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.We are setting the norms for compliance processes at the largest institutions in the world. Our client base includes firms with a combined $17 Trillion in AUM, and growing quickly. Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.We have raised $85 million over the past 18 months from top VCs and global institutions, including Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, and Marc Benioff.This RoleWe’re at a pivotal moment: our AI is powerful, but now we need to make it intuitive, trustworthy, and indispensable to a wider audience. As a Staff Product Designer, reporting directly to the CEO of Norm Ai, you'll architect the bridge between these worlds, transforming complex AI capabilities into intuitive, trustworthy experiences that define the future of enterprise software. You'll take ownership of our product's design landscape, leading the creation of AI-driven interfaces that don't just meet user needs—they anticipate them. This role transcends traditional UI/UX, challenging you to pioneer new interaction models that balance automation with human agency, making complex workflows feel effortless while maintaining the depth and power our enterprise users demand.Core ResponsibilitiesSpearhead the product design cycle for new features and products, from initial research through prototyping, interaction design, and usability testingDefine and implement groundbreaking AI UX patterns that set new standards for human-AI interactionDevelop and evolve scalable design systems that ensure consistency across products while enabling rapid innovationPartner with AI engineering, software engineering, legal engineering, customer success, and leadership to embed design thinking into our product development DNALead user research initiatives to deeply understand customer workflows and translate insights into actionable design decisionsChampion a user-first mindset while balancing business objectives and technical constraintsEstablish design processes that thrive within our engineering-driven culture Skills & Experience - Core7+ years of product design experience, ideally with significant focus on enterprise SaaS and B2B productsProven track record of designing AI-driven experiences or deep knowledge of AI interaction modelsStrong portfolio showcasing enterprise software design work, including complex workflows and data visualizationMastery of design and prototyping tools, particularly FigmaDeep understanding of UX principles, information architecture, and interaction designExperience building and evolving design systems in fast-paced environmentsExcellence in visual design, including typography, color theory, and layoutOutstanding communication skills with the ability to advocate for and articulate design decisionsBachelor's Degree in Product Design, HCI, Interaction Design, or related fieldSkills & Experience - PlusesExperience designing for highly regulated industries (finance, healthcare, enterprise IT)Background in service design and enterprise-level workflow optimizationProficiency with analytics tools for tracking user behavior and measuring design impactExperience leading design teams or mentoring other designersWhat Success Looks Like - 30 DaysImmerse yourself in our product ecosystem, AI models, and compliance workflowsBuild strong relationships with engineering, product, and leadership teamsConduct a comprehensive design audit, identifying immediate opportunities for improvementWhat Success Looks Like - 60 DaysDesign and implement significant usability improvements to core AI-powered workflowsEstablish user research frameworks and gather actionable feedbackBegin contributing to product strategy and roadmap discussionsWhat Success Looks Like - 90 DaysLaunch your first major design initiative that measurably improves user experienceEstablish design processes that align with our engineering workflowPresent a strategic vision for evolving our design systemComp and Benefits $200,000-240,000 a year plus equity. The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.We embrace a flexible hybrid model, typically in-office 3–4 days per week.If you’re interested in the role but aren’t sure whether you’re a good fit, we’d still like to hear from you.

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About the roleWe're looking for a Sales Engineer to be the technical bridge between our Account Executives and prospective customers. You'll play a critical role in how customers understand, adopt, and succeed with our AI agents. This is a highly cross-functional role where you'll combine technical credibility with sales skills to demonstrate value, build trust, and accelerate deals.We work in-person Monday through Friday in our SF office.What you'll doPartner with Account Executives to scope and deliver compelling demos tailored to prospects' business needsDevelop proof-of-concepts and prototypes that show how our AI agents solve customer problemsPresent technical solutions to both business and technical stakeholders clearly and persuasivelyHandle technical objections confidently, including integration, compliance, and performance questionsCollaborate with Product and Engineering to provide field feedback and influence roadmap prioritiesContribute to enablement materials, demo environments, and best practices for scaling sales engineering impactWhat we're looking forStrong technical background in software engineering, solution architecture, or technical consultingExcellent communication and presentation skills—you can translate complex AI concepts into business valueComfortable building quick prototypes and debugging code in real timeExperience in fintech, compliance, or AI products is a plusConsultative, customer-first mindset with a passion for problem solvingAbout youYou're technically sharp but love the customer-facing side of technology. You get excited about showing prospects how cutting-edge AI can transform their compliance operations, and you're comfortable presenting to both CTOs and Chief Compliance Officers. You thrive in environments where you can blend deep technical knowledge with business strategy to help close deals.Compensation & BenefitsCompetitive salary + equity + commissionComprehensive healthcare, 401k matching, commuter benefits15 days PTO + holidays, unlimited sick daysFlexible leave optionsWorking late? We've got you covered with DoorDash and an Uber homeJoin us in building AI that protects the global financial system from financial crimes that fund terrorism, human trafficking, and other serious threats.

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ABOUT POOLSIDEIn this decade, the world will create artificial intelligence that reaches human level intelligence (and beyond) by combining learning and search. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will determine who survives and wins. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research and engineering at scale. They will create powerful economic engines. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this.poolside exists to be one of these companies - to build a world where AI will drive the majority of economically valuable work and scientific progress.We believe that software development will be the first major capability in neural networks that reaches human-level intelligence because it's the domain where we can combine Search and Learning approaches the best.At poolside we believe our applied research needs to culminate in products that are put in the hands of people. Today we focus on building for a developer-led increasingly AI-assisted world. We believe that current capabilities of AI lead to incredible tooling that can assist developers in their day to day work. We also believe that as we increase the capabilities of our models, we increasingly empower anyone in the world to be able to build software. We envision a future where not 100 million people can build software but 2 billion people can.View GDPR PolicyABOUT OUR TEAMWe are a remote-first team that sits across Europe and North America and comes together once a month in-person for 3 days and for longer offsites twice a year.Our R&D and production teams are a combination of more research and more engineering-oriented profiles, however, everyone deeply cares about the quality of the systems we build and has a strong underlying knowledge of software development. We believe that good engineering leads to faster development iterations, which allows us to compound our efforts.ABOUT THE ROLEYou would be working in our pre-training team focused on building out our distributed training and inference of Large Language Models (LLMs). This is a hands-on role that focuses on software development best practices, maintenance, and code architecture. You will have access to thousands of GPUs to verify changes.Strong engineering skills are a prerequisite. We assume perfect knowledge of CI/CD, reliability concepts, software architecture, and code quality properties. A basic understanding of LLM training and inference principles is required. We look for fast learners who are prepared for a steep learning curve and are not afraid to step out of their comfort zone.YOUR MISSIONTo help train the best foundational models for source code generation in the worldRESPONSIBILITIESPropose and evaluate innovations in the training development experience and reliabilityEnhance and maintain our training and inference codebasesWrite high-quality Python (PyTorch), Cython, C/C++ code. Perform refactoringsImprove CI/CDSKILLS & EXPERIENCEUnderstanding of Large Language Models (LLM)Basic knowledge of TransformersKnowledge of deep learning fundamentalsStrong engineering backgroundProgramming experienceLinuxStrong algorithmic skillsPython with numpy, PyTorch, or JaxC/C++CI/CD, project maintenanceUse modern tools and are always looking to improveStrong critical thinking and ability to question code quality policies when applicablePROCESSIntro call with one of our Founding EngineersTechnical Interview(s) with one of our Founding EngineersTeam fit call with the People teamFinal interview with Eiso, our CTO & Co-FounderBENEFITSFully remote work & flexible hours37 days/year of vacation & holidaysHealth insurance allowance for you and dependentsCompany-provided equipmentWellbeing, always-be-learning and home office allowancesFrequent team get togethersGreat diverse & inclusive people-first culture

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About Us Observe.AI enables enterprises to transform how they connect with customers - through AI agents and copilots that engage, assist, and act across every channel. From automating conversations to guiding human agents in real time to uncovering insights that shape strategy, Observe.AI turns every interaction into a driver of loyalty and growth. Trusted by global leaders, we’re creating a future where every customer experience is smarter, faster, and more impactful. Why Join Us This is a rare chance to build and lead the Strategic Accounts business for one of the fastest-growing innovators in the AI-powered customer experience space. We are seeking a dynamic and proven sales leader to architect and scale our Strategic Accounts business from the ground up. The RVP, Strategic Accounts will be at the forefront of driving new logo growth in greenfield markets, engaging C-level executives at some of the world’s largest and most innovative enterprises. You will design and lead a high-performing enterprise sales organization, build repeatable sales processes, and personally lead high-value, complex sales cycles. This is both a strategic leadership and hands-on execution role, ideal for a player-coach who thrives in high-growth environments, can translate GenAI innovation into measurable customer outcomes, and is passionate about shaping the future of customer experience. This role reports directly to the VP, Strategic Accounts. What you’ll be doing Hunter Mentality & New Logo Growth Identify and open doors into greenfield strategic accounts—from Global 5000 to digitally transforming enterprises.  500+ agents Lead with value, tailoring solutions to strategic customer pain points and use cases across the contact center and customer experience landscape. Build trusted advisor relationships with C-level executives, influencing enterprise innovation strategies through AI/GenAI-powered capabilities. Build from Scratch Architect the global Strategic Accounts org from the ground up—define structure, headcount, roles, territories, KPIs, and compensation. Recruit, onboard, and mentor a high-performing team of Strategic Account Executives, supported by Solutions Engineers and SDRs. Stand up sales processes and infrastructure to enable rapid, repeatable scaling (CRM workflows, enablement, playbooks, forecasting, etc.). Enterprise Sales Execution Own the full-cycle sales process for strategic accounts—from prospecting to C-level engagement, solution selling, and complex negotiations. Partner with Product, Marketing, and Customer Success to influence roadmap and ensure alignment with enterprise customer needs. Consistently meet or exceed new ARR targets, pipeline coverage goals, and win rates. Player-Coach Execution Personally lead high-value, complex enterprise sales cycles—owning prospecting, stakeholder engagement, solution design, and negotiation. Operate as a true player-coach: setting the pace, modeling best-in-class sales behaviors, and actively closing business while building the team. Drive predictable pipeline generation and pipeline hygiene through consistent coaching and inspection. GenAI Fluency & Value Selling Be a credible executive voice in AI/GenAI, particularly in contact center and CX innovation. Translate complex AI capabilities into business outcomes and customer value stories. Guide strategic clients through their AI transformation journeys and innovation roadmaps. What you bring to the role 12+ years of enterprise SaaS sales experience, with 5+ years in a senior leadership role focused on Strategic or Global Accounts. Proven hunter with a track record of landing new logos, especially in whitespace markets or new geographies. Experience building and scaling a new function or region from scratch—team, process, and GTM. Strong understanding of contact center, CX, or AI-powered technologies; able to lead technical discussions with CxOs and IT leaders. Familiar with enterprise sales motions such as MEDDIC, Challenger, or Customer Centric Sales. Comfortable with ambiguity, high-growth, and iterative experimentation—startup/scale-up experience a plus. Strategic, data-driven, and resilient with a relentless drive to win. Preferred Background Deep familiarity with GenAI, NLP, LLMs, or ML applications in enterprise use cases. Global or multi-regional sales leadership experience (North America, EMEA, or APAC). Background in building high-performing sales teams at companies in post-Series B to pre-IPO stages. Bachelor's or Master’s degree in Business, Engineering, or a related technical discipline. Perks and Benefits Competitive compensation including equity Excellent medical, dental, and vision insurance options Flexible time off  10 Company holidays + Winter Break and up to 16-weeks of parental leave 401K plan Quarterly Lifestyle Spend Monthly Mobile + Internet Stipend Pre-tax Commuter Benefits Salary Range The OTE (On Target Earnings) compensation range targeted for this full-time position is $420,000 OTE (On Target Earnings) per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai. 

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MetaviewMetaview is re-engineering hiring with AI at the core. Thousands of companies already use Metaview to accelerate their recruiting workflows, remove toil, and make hiring decisions with more precision.Our AI Assistant for Recruiting is used by over 3000 companies around the world, and already makes recruiting flows drastically more efficient. But efficiency is just the starting point: the data we're capturing will enable us to build the AI platform that recognizes talent better than any human ever could.Metaview was founded by Siadhal and Shahriar after their experiences scaling Uber and Palantir. We recently announced our $35m Series B, led by Google Ventures. Growing 5x YoY, our customers are raving fans of the product, and our innovation has been covered in Fortune, Forbes, TechCrunch, and The Times.The teamWe’re here to do the best work of our lives, and are immersed in our work.We optimize for rate-of-learning. Watch the clock, not the calendar.We’re direct and actively-transparent in how we communicate and share progress. This means we all have the context and information required to help each other excel.The roleWe’re at an exciting inflection point: strong customer love, clear product–market fit, and fast growth. As our first Product Marketing hire, you’ll define the function from the ground up — setting the bar, building the muscle, and turning insight into impact.This is not a coordinator role, but a strategic operator seat. You’ll shape how our product is positioned, packaged, and launched — and ensure our story lands with the people who matter most. You’ll work closely with founders, product, sales, marketing, and design to influence not just how we go to market, but what we build next.If you’re looking for a high-trust, high-autonomy role where you can move fast, drive strategy, and help build a category-defining company — we’d love to meet you.What you'll doProduct launchesDevelop positioning, messaging, and GTM strategies for new products, integrations, and features.Plan and execute launch campaigns for both net-new and expansion opportunities.Collaborate with Product and Marketing on pricing experiments and segmentation strategies.GTM enablementBuild compelling case studies that showcase adoption and measurable outcomes.Conduct competitive research and win/loss analysis to inform positioning and GTM strategy.Create high-impact collateral that arms sales and success teams with the right stories and use cases.Activation & lifecycleLead onboarding content and product education that drive activation and time-to-value.Partner with Growth and Product to optimize conversion journeys (especially free → paid).Identify lifecycle opportunities to expand product usage, engagement, and advocacy.What we’re looking for7+ years of work experience, minimum 5 in PMM.Proven track record of high-impact launches and GTM asset creation.Experience supporting both sales-led and PLG motions with a deep grasp of the B2B customer journey.Strong writing and visual sensibility, with a portfolio that reflects strategic thinking and taste.Experience owning customer research and market insight initiatives.High agency, low ego, and bias toward action.What’s in it for youBe the first. Set the bar and define a category of an already customer-obsessed brand.Fast-track your career. We're a Series B rocket ship growing 5x YoY. You'll take on big, meaningful projects and grow faster than anywhere else.Great pay, real ownership. Competitive salary, meaningful equity, and benefits that support the whole you.

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Req ID CSQ426R267 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert-level technical experts to build the right tasks that are beyond your scope of activities or expertise Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the following work streams: Main use cases moving from ‘win’ to production Enablement/user growth plan Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI, and where you can contribute to technical debate and design choices with customers 1+ years of experience with Databricks  Programming experience in Python, SQL, or Scala  Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related to distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management, including account, stakeholder, and resource management accountability Experience resolving complex and important escalations with senior customer executives Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis, and managing the delivery of complex programmes/projects Track record of overachievement against quota, Goals or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Can travel up to 30% when needed   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.  Zone 1 Pay Range$161,300—$225,800 USDZone 2 Pay Range$129,100—$180,700 USDZone 3 Pay Range$161,300—$225,800 USDZone 4 Pay Range$161,300—$225,800 USDAbout Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco, or San Jose office location 4 days per week; Lambda’s designated work-from-home day is currently Tuesday. In the world of distributed AI training and inference, raw GPU and CPU horsepower is just a part of the story. High-performance networking and storage are the critical components that enable and unite these systems, making groundbreaking AI training and inference possible.The Lambda Infrastructure Engineering organization forges the foundation of high-performance AI clusters by welding together the latest in AI storage, networking, GPU and CPU hardware.Our expertise lies at the intersection of:High-Performance Distributed Storage Solutions and Protocols: We engineer the protocols and systems that serve massive datasets at the speeds demanded by modern clustered GPUs.Dynamic Networking: We design advanced networks that provide multi-tenant security and intelligent routing without compromising performance, using the latest in AI networking hardware.Compute Clustering and Virtualization: We enable cutting-edge virtualization and clustering that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure, unleashing the full compute bandwidth of clustered GPUs.AI training and inference relies on petabytes of data hosted on large, high-performance storage arrays. At Lambda, the Infrastructure Storage Team’s job is to ensure that the data powering AI is fast, performant, and available across a variety of access protocols (fit for purpose).We're looking for an experienced Senior Software Engineer to join our storage team. You'll join a team responsible for developing and implementing storage software for our next-generation on-premise storage solutions. This role requires expertise in distributed systems, and an in-depth understanding of file, block, and object storage protocols. You'll work on building scalable and resilient storage services that power our AI and machine learning infrastructure. What You’ll Do:Design, develop, and maintain software for storage systems, focusing on performance, scalability, and reliability.Implement and optimize storage protocol APIs for file (e.g., NFS, SMB), block (e.g., iSCSI, Fibre Channel), and object (e.g., S3) access.Develop distributed systems for managing and orchestrating storage resources across multiple storage solutions and redundant arrays.Collaborate with hardware and system architects to integrate software with various storage solutions, including NVMe and GPU-accelerated storage.Troubleshoot and debug complex issues in a production data center environment.Contribute to the full software development lifecycle, from requirements gathering and design to deployment and maintenance.You Have:Bachelor's or Master's degree in Computer Science or a related field.5+ years of experience in software development for storage systems.Proven experience with distributed systems programming and concepts such as load balancers, data-durability, consensus algorithms, fault tolerance, and data consistency.Strong programming skills in languages such as C, C++, Go, or Python.Deep understanding of storage protocols, including:File: NFS, SMB, LustreBlock: iSCSI, Fibre ChannelObject: S3, SwiftExperience with Linux kernel internals and system-level programming.Familiarity with containerization technologies like Docker and Kubernetes and running production workloads in these environments.Familiarity with CI/CD and QA practices for distributed systems development environments.Nice to HaveExperience with AI/ML workloads and the unique storage challenges they present.Knowledge of data center networking and high-speed interconnects (e.g., InfiniBand, RoCE).Experience with performance tuning and optimization of storage systems.Familiarity with hardware acceleration technologies, specifically GPUs and DPUs.Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Have a passion for AI, creativity, and pushing the boundaries of what’s possible? At Moonvalley, we’re always excited to meet talented people who share our vision. Even if you don’t see the perfect role listed right now, we encourage you to get in touch! We’ll keep your details on file and reach out when a suitable opportunity arises.About MoonvalleyMoonvalley is developing cutting-edge generative AI models designed to power Superbowl-worthy commercials and award-winning cinematic experiences. Our inaugural, cutting-edge HD model, Marey, is built on exclusively licensed and owned data for professional use in Hollywood and enterprise applications.Our team is an unprecedented convergence of talent across industries. Our elite AI scientists from DeepMind, OpenAI, and Meta, have decades of collective experience in machine learning and computational creativity. We have also established the first AI-enabled movie studio in Hollywood, filled with accomplished filmmakers and visionary creative talent. We work with the top producers, actors, and filmmakers in Hollywood as well as creative-driven global brands. So far we've raised over $70M from world-class investors including General Catalyst, Bessemer, Khosla Ventures & YCombinator – and we're just getting started. Who You’ll Work WithOur team brings together AI researchers, engineers, product thinkers, marketers, designers, and strategists. Whether you're building AI models, driving business growth, or shaping our brand, you'll collaborate with smart, ambitious people who value bold ideas and innovation.Our MissionWe’re shaping the future of creativity with AI tools that empower artists, creators, and businesses. From generative AI to digital storytelling, our work pushes boundaries and has a global impact.How We Work Innovation drives everything we do whether in AI, marketing, product, or operations. We encourage ownership, experimentation, and creative problem-solving in a fast-moving, collaborative environment.In our team, we approach our work with the dedication similar to Olympic athletes. Anticipate occasional late nights and weekends dedicated to our mission. We understand this level of commitment may not suit everyone, and we openly communicate this expectation.If you're motivated by deeply technical problems, a seemingly never-ending uphill battle and the opportunity to build (and own) a generational technology company, we can give you what you're looking for.All business roles at Moonvalley are hybrid positions by default, with some fully remote depending on the job scope. We meet a few times every year, usually in London, UK or North America (LA, Toronto) as a company.If you're excited about the opportunity to work on cutting-edge AI technology and help shape the future of media and entertainment, we encourage you to apply. We look forward to hearing from you!The statements contained in this job description reflect general details as necessary to describe the principal functions of this job, the level of knowledge and skill typically required and the scope of responsibility. It should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences, to equalize peak work periods, or to otherwise balance organizational workMoonvalley AI is proud to be an equal opportunity employer. We are committed to providing accommodations. If you require accommodation, we will work with you to meet your needs.Please be assured we'll treat any information you share with us with the utmost care, only use your information for recruitment purposes and will never sell it to other companies for marketing purposes. Please review our privacy policy and job applicant privacy policy located here for further information.

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About Anyscale: At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role:As a Site Reliability Engineer, you will play a crucial role in ensuring the smooth operation of all user-facing services and other Anyscale production systems. Anyscale values diversity and inclusion, and we encourage applications from individuals of all backgrounds.This includes processes for provisioning, negotiating prices, managing costs, seeing opportunities for teams to reduce wastage by finding applications across the company. You will apply sound engineering principles, operational discipline, and mature automation to our environments and the Anyscale codebase as we scale.As part of this role, you will:Develop a unified perspective on how cloud components are utilized across the company, taking into account diverse needs and requirements.Ensure that deployment methodologies align with the company's reliability goals.Build systems that promote understanding of production environments, facilitating quick identification of issues through robust observability infrastructure for metrics, logging, and tracing.Create monitoring and alerting systems at different levels, enabling teams to easily contribute and enhance the overall monitoring capabilities.Establish testing infrastructure to support the team in writing and executing tests effectively.Develop tools for measuring service level objectives (SLOs) and define organization-wide SLOs.Implement best practices and on-call systems, ensuring efficient incident management and up-leveling the incident management system at Anyscale.Coordinate the creation and deployment of cloud-based services, including tracking deployments and establishing effective communication channels for issue resolution.We'd love to hear from you if have:At least 3 years of relevant work experience in a similar role.CompensationAt Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. As the market data changes over time, the target salary for this role may be adjusted.This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:Stock OptionsHealthcare plans, with premiums covered by Anyscale at 99%401k Retirement PlanWellness stipendEducation stipendPaid Parental LeaveFlexible Time OffCommute reimbursement100% of in office meals coveredAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!The integration team is responsible for developing and scaling machine learning algorithms and infrastructure for LLM post-training, with a focus on large-scale, distributed RL methods. We strive for excellence in both engineering and science by meticulously designing experiments and design docs. While tasks are assigned according to everyone’s expertise, there is a global team effort to write production code and support the team research efforts, depending on individual interests and organizational needs.In particular, this role aims to enhance the global quality of the post-training codebase by implementing new tools to ease and support research, optimizing post-training algorithms, and scaling distributed RL to unprecedented levels.Please Note: We have offices in London, Paris, Toronto, San Francisco, New York but we are also remote-friendly! Applicants for this role may work anywhere between UTC−06:00 and UTC+01:00.As a Member of Technical Staff, you will:Design and write high-performing and scalable software for training models.Develop new tools to support and accelerate research and LLM training.Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.) to create a strong and integrated post-training ecosystem.Craft and implement techniques to improve performance and speed up our training cycles, both on SFT, offline preference, and the RL regime.Research, implement, and experiment with ideas on our cluster and data infrastructure.Collaborate, Collaborate, and Collaborate with other scientists, engineers, and teams!You are an ideal candidate if you have:Extremely strong software engineering skills.Value test-driven development methods, clean code, and strive to reduce technical debts at all levels.Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR.Experience using and debugging large-scale distributed training strategies (memory/speed profiling).[Bonus] Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray).[Bonus] Hands-on experience with the post-training phase of model training, with a strong emphasis on scalability and performance.[Bonus] Experience in ML, LLM and RL academic research.This role is perfect for you if you:Have a deep passion for quality work.Enjoy tuning and optimising large LLM models.Comfortable working with people with different levels of software engineering skills, from beginner to more advanced.Comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems.Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of APIs for AIs to do more with web data. We are a fully in-person team based in Palo Alto, CA. Our organization is flat; our team is small and talent dense.We want to talk to you if you are someone who can bring us closer to living our aspirational values:Own customer impact - It’s on us to ensure real-world outcomes for our customers.Obsess over craft - Perfect every detail because quality compounds.Accelerate change - Ship fast, adapt faster, and move frontier ideas into production.Create win-wins - Creatively turn trade-offs into upside.Make high-conviction bets - Try and fail. But succeed an unfair amount.Job: Our first deployed engineer hire - you will work closest with our customers, help them get the most out of our API, and scale with them. You will understand their product and use-cases deeply, and understand our API. You will be the power user of our API.You: Love working hands-on with customers. You are an engineer by training but also may have worked in consulting/PM/GTM or roles that are close to customers. You care most about owning customer impact. Our founder is Parag Agrawal. Previously, he was the CEO and CTO at Twitter. Our investors include First Round Capital, Index Ventures, Khosla Ventures, and many others.

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Growth Product Manager About Durable:  Our mission at Durable is to make owning a business easier than having a job. Durable builds AI that does the work for you. Our goal is to own the DIFY (Do It For You) small business category. What is DIFY? It is a new category of technology that is faster and more cost effective than a human, and much easier to use than software. It is an AI first approach to solving customer problems. You don't need to learn new software. You don't need to read help docs. You don't need to learn how to prompt. You provide business context and feedback, and the work is done for you. We believe in a world where everyone is a business owner. Whether it's a full-time, part-time, or side hustle - we want to make it frictionless to start and operate a business. Since launching in late 2022, over 5 million websites have been built with our AI powered website builder. We are generating significant revenue, well-funded by Silicon Valley investors, and growing extremely fast. Our vision is much bigger, and we're looking for incredible people to join our team and make an impact. What You'll Do:  We’re looking for a Growth Product Manager to own the flywheel that powers durable’s customer acquisition, activation, and retention. You’ll work across product, marketing, data, and engineering to design high-leverage growth loops, optimize funnels, and launch experiments that accelerate Durable’s trajectory. Key Responsibilities: Own the end-to-end growth funnel: acquisition, activation, engagement, and retention Design and prioritize experiments that improve signup, onboarding, and conversion flows Partner with marketing on channels, campaigns, and landing pages to drive qualified growth Define and implement growth loops and referral mechanisms to scale durable organically Use data and customer insights to generate hypotheses, measure performance, and inform roadmap Collaborate with engineering and design to ship rapid, high-quality growth initiatives Establish growth metrics, dashboards, and frameworks for decision-making Work closely with leadership on pricing, monetization, and go-to-market levers What you bring:  3–6+ years in product management, growth, or related roles at high-growth b2c/b2b2c startups Proven track record of shipping experiments and delivering measurable growth results Strong analytical skills; fluent in funnel metrics, a/b testing, and data storytelling User-first mindset with ability to balance qualitative insight and quantitative data Entrepreneurial and scrappy: thrive in fast-moving, ambiguous environments Excellent collaboration and communication across product, engineering, design, and marketing Bonus: experience with ai-native products, no-code/web tools, or small business ecosystems Why Join Us?  At Durable, we’re committed to creating an environment where you can thrive. Here’s what you can look forward to: Vancouver HQ: Based in Vancouver? Our Gastown HQ comes with jaw-dropping North Shore views. Many teammates come in on Mondays and Thursdays, but WFH is always an option when you need it. Comprehensive Benefits: Health and dental coverage to support your well-being. Home Office Stipend: Receive a stipend to create a comfortable and productive workspace. Professional Development: We support your growth with opportunities like conferences, courses, and speaking engagements. Team Events: Connect with your colleagues through retreats and team-building activities. Equipment: Start strong with a company-provided laptop and the tools you need to succeed. Location: Ideal candidates are based in Vancouver. We may consider those based remotely in Canada on a case-by-case basis.  Compensation:  Base salary range $150,000-200,000 CAD, plus equity. This range is based on Vancouver, BC. Actual compensation is determined on a case-by-case basis and takes into account experience level and skillset.   

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About the TeamThe Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought leader for our customers, ensuring developers and enterprises maximize value from our models and products. As a Solutions Engineer in the MidMarket/Enterprise segment, you’ll help the largest companies transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models. About the RoleWe are seeking a solutions engineer to partner with our customers and ensure they achieve tangible business value from our models through ChatGPT and the OpenAI API. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with MidMarket/Enterprise Sales, Security, and Product teams.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Deliver an exceptional pre-sales customer experience for MidMarket/Enterprise prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.Demonstrate how leveraging OpenAI APIs and ChatGPT can meet customers’ business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.Develop and nurture strong customer relationships during the evaluation, validation, and purchasing process.Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.You’ll thrive in this role if you:Have 3+ years of experience in a technical pre-sales or similar role, managing C-level technical and business relationships with complex global organizations.Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support.Have foundational training in programming languages like Python or Javascript.Have delivered prototypes of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders.Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About OumiWhy we exist: Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely.What we do: Oumi provides an all-in-one platform to build state-of-the-art AI models, end to end, from data preparation to production deployment, empowering innovators to build cutting-edge models at any scale. Oumi also develops open foundation models in collaboration with academic collaborators and the open community.Our Approach: Oumi is fundamentally an open-source first company, with open-collaboration across the community as a core principle. Our work is:Research-driven: We conduct and publish original research in AI, collaborating with our community of academic research labs and collaboratorsCommunity-powered: We believe in the power of open-collaboration and welcome contributions from researchers and developers worldwideRole OverviewWe're seeking an experienced Platform Engineer who thrives in 0-to-1 environments to join Oumi's engineering team. You'll architect, build, and maintain the core platform services that power our products, working across the full technology stack with a focus on backend systems and infrastructure.What you’ll do:Platform Architecture: Design and implement scalable, maintainable platform architecture from the ground up, making strategic technical decisions that will shape our technology foundationBackend Development: Build robust, high-performance backend services and APIs using Python, with optional Rust for performance-critical componentsFrontend Integration: Collaborate on JavaScript/TypeScript frontend components that integrate with your backend servicesInfrastructure as Code: Implement infrastructure automation using modern DevOps practices and toolsTechnical Leadership: Provide technical guidance on best practices, architecture decisions, and coding standards0-to-1 Development: Convert product requirements into fully functioning systems, taking ownership of features from concept to productionWhat you’ll bring:Experience: Proven experience in software development, with a strong understanding of programming languages such as Python, Rust or Javascript.0-to-1 Track Record: Demonstrated success building systems from scratch in fast-paced environmentsTechnical Expertise:Strong proficiency in Python for backend developmentKnowledge of Rust or willingness to learn for performance-critical componentsFamiliarity with cloud platforms (AWS/GCP/Azure)Experience with containerization (Docker) and orchestration (Kubernetes)System Design: Ability to design clean APIs, scalable architectures, and efficient data modelsDevOps Mindset: Experience with CI/CD pipelines, monitoring, and observability toolsCommunication: Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.Open Source: Familiarity with open-source projects and a passion for contributing to the open-source community.Values: Share Oumi's values: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded.The Details:Benefits:Competitive salary: $140,000-$190,000Equity in a high-growth startupComprehensive health, dental and vision insurance21 days PTORegular team offsites and eventsLocation:Hybrid work environment, with offices in:Seattle, WAPalo Alto, CANew York, NY

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Opportunity Summary:Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the Universal AI employee. We are founded by ex-Google, Coinbase, Okta executives, and serial entrepreneurs. We’re well-funded by the top investors and angels in the world. Ema is based in Silicon Valley with offices in Bangalore.About the Role:The Developer Product Marketing Manager will own the end-to-end activation and completion funnel for our partner and customer builders. The core mission of this role is to significantly shorten the time to first value for developers and empower them to build independently on our platform. You will be responsible for creating a cohesive developer journey by integrating documentation, in-product guidance, lifecycle communications, and community programs.What You'll Do:Documentation & Enablement: Design and build our documentation information architecture, creating a high-quality, comprehensive set of resources for our developers.Lifecycle Marketing: Launch and manage behavior-based lifecycle communications (e.g., welcome series, activation nudges, re-engagement campaigns) to guide developers through the funnel.Community Building: Launch and grow "Ema Labs" to foster a vibrant developer community, showcase successful projects, and generate valuable case studies.Product-Assisted Enablement: Work with Product and Engineering to improve the first-time user experience (FTUE) with in-product checklists, contextual docs, and other guidance.Metrics & Reporting: Define, track, and report on key success metrics to measure the effectiveness of developer enablement and marketing programs.What Success Looks Like in 6 Months:Within six months, you will have optimized the developer journey to reduce the median Time-to-First-Workflow (TTFW) to seven days or less. You will have developed 8-10 production-quality templates, and our documentation will cover all fundamental aspects of the platform. Our behavior-based lifecycle marketing will be live and showing measurable lifts in activation and re-engagement. "Ema Labs" will have successfully run 1-2 cohorts, producing over 30 projects and at least four case studies.Skills and Qualifications:5+ years of relevant experience in product marketing, developer relations, technical marketing, or a similar role.Proven track record of creating and executing successful marketing and enablement programs for a technical audience.Strong written and verbal communication skills, with an ability to make complex technical concepts easy to understand.Experience with marketing automation tools and CRM systems.A data-driven mindset with experience in setting and tracking KPIs.Experience with Agentic AI is a plus.Join our innovative team and play a key role in shaping the marketing strategy and success of Ema. If you're passionate about marketing, driven by creativity, and excited about the potential of Generative AI, we want to hear from you!Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

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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 We are seeking a highly skilled and experienced Certification Expert to join our team. This pivotal role requires a professional with a strong background in software, electronics, and system-level certification programs. The ideal candidate will have participated in the entire lifecycle of a certification program and possess deep expertise in critical aerospace standards. This is a hybrid position, offering flexibility while ensuring collaborative team engagement. Depending on program needs, this expert may serve as both a Quality Assurance Engineer and a Certification Verification Engineer (CVE). The day-to-day Lead and participate in all phases of the certification lifecycle for complex software, electronics, and system developments, from planning through verification and approval. Apply in-depth knowledge of aerospace certification standards, specifically DO-178C, DO-254, and/or ARP4754A/B, to ensure compliance. Act as a Quality Assurance Engineer, overseeing process adherence, conducting audits, and ensuring the quality of certification artifacts. Perform duties as a Certification Verification Engineer (CVE), reviewing and approving certification data and evidence. Collaborate with engineering teams to integrate certification requirements into design and development processes. Interface with regulatory authorities, including military authorities, as needed to support certification efforts. Prepare and present certification plans, reports, and documentation to internal stakeholders and external authorities. You should apply if you You possess significant experience as a Certification Expert with a focus on software, electronics, and system-level certification. You have actively participated in the full lifecycle of at least one major certification program. You are proficient in at least one of the following standards: DO-178C, DO-254, or ARP4754A/B, and are eager to expand your expertise in the others. You are capable of acting as both a Quality Assurance Engineer and a Certification Verification Engineer (CVE). You thrive in a hybrid work environment. Hold, or are demonstrably eligible to obtain, the required level of security clearance.  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. Nice to Have Understanding of evolving airworthiness requirements related to Artificial Intelligence (AI) and Cybersecurity. Experience interacting with military authorities in a certification context. 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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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 Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to financial institutions across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with banks, insurance companies, and financial research institutions. You'll leverage your consultative sales expertise in the financial services sector to propel revenue growth while becoming a trusted partner to financial stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in banking, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with financial decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the financial services sector. Navigate complex financial institutions to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to financial services procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze financial market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within financial departments, research centers, and administrative offices. Collaborate cross-functionally to differentiate our offerings for financial applications Navigate complex financial stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus Inform product roadmaps and features by gathering feedback from financial users and conveying financial market needs. Provide insights that strengthen our value proposition for financial services Continuously refine the financial services sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 8+ years of B2B sales experience specializing in financial services technology, with proven expertise in SaaS platforms, API solutions, and emerging technologies A track record of managing complex sales cycles within financial institutions and securing strategic deals by understanding both technical requirements and financial use cases Demonstrated ability to navigate financial bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within financial services procurement frameworks and policies Proven experience exceeding revenue targets in the financial services sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various financial audiences, from analysts and researchers to senior executives Deep understanding of financial services buying cycles, decision-making processes, and key pain points A strategic, analytical approach to assessing the financial services market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in financial services. You feel strongly about ensuring frontier AI systems are developed safely and ethically for financial use The expected salary range for this position is:Annual Salary:£195,000—£280,000 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