The AI job market moves fast. We keep up so you don't have to.

false

About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role We are seeking a highly skilled Senior Backend Developer with deep expertise in distributed systems and modern backend architecture. The ideal candidate will be responsible for designing and building scalable, high-performance backend services while maintaining clean, maintainable code and collaborating closely with cross-functional teams. This role requires a strong understanding of microservices, messaging systems, data persistence layers, and system performance optimization.   Responsibilities  Architect and develop robust, scalable backend services and APIs using ASP.NET Core  Design efficient, normalized database schemas and optimize data access logic   Implement message-driven communication with high reliability and fault tolerance   Take ownership of backend code quality, documentation, and maintainability   Proactively identify performance bottlenecks and implement scalable solutions   Collaborate with DevOps for containerization and deployment pipeline improvements   Explore and integrate AI-assisted development tools to boost productivity   (Optional) Contribute to low-level integrations through FFI for performance-critical components   About you  [Minimum qualifications] Extensive experience in ASP.NET Core backend development   Advanced proficiency in C# programming and object-oriented principles   Proven experience in distributed systems and microservice architectures   Strong expertise in PostgreSQL, MongoDB, and familiarity with both SQL and NoSQL database design principles   Proficiency in code-first development and hands-on experience with Entity Framework Core or equivalent ORMs   Advanced knowledge of **RabbitMQ** or similar **message broker systems** (e.g., Kafka, NATS)   In-depth understanding of IO-bound operations, threading, parallelism, and asynchronous programming   Practical experience with Docker and container-based deployment workflows   Demonstrated ability to write clean, well-documented code and solve complex problems analytically   Strong abstract thinking and decision-making capabilities   Solid experience in performance tuning and designing scalable backend systems  Familiarity with and ability to leverage AI tools in development workflows   (Optional) Experience working with FFI (Foreign Function Interface) and integrating native code or libraries  [Preferred qualifications] Solution-oriented mindset with a focus on system sustainability and maintainability   Ability to work independently and make high-level architectural decisions   Willingness to explore and integrate emerging technologies into backend systems   Strong collaboration and communication skills with technical and non-technical stakeholders   #LI-AK1

false

About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleWe're looking for a Product Engineer to build product experiences that people love. You'll collaborate across design, product, and engineering to rapidly prototype and ship magical experiences. You'll work with people who are not only technically excellent but who care deeply about delivering something outstanding - and who move with urgency to get it in customers' hands.ResponsibilitiesDesign, prototype & launch AI-powered products that solve real user problems - from early concepts to scaled featuresWork directly with customers to understand their needs, validate ideas quickly, and iterate based on real feedbackCollaborate with product, design, and data teams to take features from idea to production at startup speedNavigate ambiguity to define what to build when the path forward isn't clearStay on top of research and identify opportunities to ship magic to usersKeep systems fast and reliable under real-world usage Required Qualifications3+ years building products that people love, with demonstrated experience taking ideas from zero to oneTrack record of shipping quickly while maintaining quality - you know when to move fast and when to be thoroughThrive in ambiguous, fast-changing environments where requirements shift and customer feedback drives decisionsStrong sense of product taste paired with deep customer empathyOutstanding communication skillsPreferred QualificationsExcited about all things AIExperience working with PythonStrong ML/LLM knowledgeExperience with evalsHistory of direct customer engagement and interactionsOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

false

About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe, and the U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.   About the Role The Business Analysis Manager (Partnership) will lead and elevate Appier’s BA function from a tactical, campaign-support unit into a strategic partner for both commercial and product teams. You will act as a trusted advisor to Campaign Managers, guiding them on inventory utilization. You will also be responsible for building inventory insights that empower BD, Product, and CM teams to make better decisions, and lead BA Team to proactively anticipate demand momentum and collaborate with AdCloud Product (PM) and AI teams, positioning BA as a valued partner in shaping Appier’s future product roadmap.   Responsibilities Demand Operation & Forecasting Lead and mentor the BA team to establish strategic frameworks for evaluating campaign and inventory health, ensuring BA provides early-warning signals and strategic insights for leadership. Design and institutionalize mechanisms that give full visibility into current and future campaign demand, enabling long-term supply planning and resource allocation. Proactively translate demand momentum (regions, ad formats, specific publishers) into strategic supply forecasts that shape commercial and product priorities. Cross-Functional Product Engagement Engage with Appier AdCloud Product Managers and AI scientists to understand roadmap priorities and problem statements. Provide inventory insights, campaign patterns, and data-driven signals to influence product design and AI model development. Present forward-looking recommendations to leadership, influencing both commercial strategy and product roadmap. Inventory Partner Engagement Leverage SSP partner data to extract market benchmarks (e.g., eCPM, CTR, publisher performance) and generate insights that guide BD negotiations and product innovation.. Shape traffic allocation strategies in partnership with SSPs to optimize both partner yield and Appier performance. Empower Partnership BD to engage with inventory partners with AdTech and campaign operational findings Provide thought leadership on campaign and inventory dynamics to influence long-term product direction. Team Leadership Build a culture of consultative support, ensuring BA provides Campaign Management Team with the right inventory insights at the right timing. Develop BA Team as the source of truth on inventory dynamics, supply quality, and campaign-to-supply fit. Foster knowledge-sharing and tool development (dashboards, monitoring systems) to scale BA impact across teams.   About You Essential 6+ years of experience in data/business analysis, supply management, or digital advertising; 2+ years in team leadership. Strong analytical/statistical background; skilled at turning data into clear, actionable insights. Experience in programmatic advertising, RTB, or campaign optimization support. Excellent communication and presentation skills; able to influence CM, BD, and Product stakeholders. Proven ability to drive analytics tooling and dashboard initiatives, ensuring stakeholders (CM, BD, Product) gain consistent, actionable visibility into inventory dynamics. Comfortable operating at both tactical (daily monitoring) and strategic (product advisory) levels. Fluent in English; additional language skills (Mandarin, Korean, Japanese) are a plus. Nice to Have Proficiency in SQL, Tableau, or similar analytics/visualization tools. Familiarity with AI/ML-driven ad platforms or SaaS product development. Experience working with cross-functional product/engineering teams.   #L1-RL

false

About UsConsole is an AI platform that automates IT and internal support. We help companies scale without scaling headcount, and give employees instant resolution to their issues. Our agents understand the full context of the organization, handle requests end-to-end and pull in humans only when necessary.Today, companies like Ramp, Scale, Webflow, and Flock Safety rely on Console to automate over half of their IT & HR requests. We've won every bake-off against our competitors, closed every trial customer and expect to 10x usage by year-end.We're a small, talent-dense team: naturally curious, high-agency and low-ego. Our organization is very flat and ideas win on merit, not hierarchy. We're hiring exceptional people to keep up with demand. We're backed by Thrive Capital and world-class angels.About the roleAs a Platform Engineer at Console, you'll work on the core infrastructure and systems that will enable us to power support across hundreds of medium and large scale enterprises. You'll work closely with the CTO to architect scalable enterprise-grade systems.Some examples of work you might do:Architect, plan, and execute a self-hostable SKU of Console for enterprise customers.Execute zero downtime production migrations while evolving our infrastructure to support a massive increase in customer loadOptimize build times and setup blue-green production deployment workflowsYou'll have broad license to shape the platform design and lead devops initiatives that accelerate the velocity of the whole team.This role is based in San Francisco, CA. We work in-person and offer relocation assistance to new employees.About youYou have hands-on experience designing and building foundational infrastructure zero-to-oneYou're have a deep understanding of AWS/GCP and the tradeoffs between various cloud offerings and architecturesYou've worked on high-scale, production grade systemsYou care about developer experience and productivity; you like building systems that accelerate the whole teamRequirements5+ years of full-time experience in platform or infrastructure-facing engineering rolesExperience with AWS/GCP, IaC tools like Terraform/Pulumi, and relative comfort with our stack (Typescript/Node/React) Passionate about building quality, reliable systems, and never happy with "good enough"Why join Console?Product-market fit: We have built the leading product in our category, in a massive market. We've hit an inflection point and are on track to build a generational company. World-class team: We seek high agency contributors who are comfortable navigating ambiguity, ruthlessly prioritize what matters and are action-biased.Grow with us: We reward impact, not credentials or years of experience. We intend to grow talent from within as we scale up.Competitive pay and benefits: top compensation with full benefits including:Equity with early exercise & QSBS eligibilityComprehensive health, dental, and vision insuranceUnlimited PTO401(k)Meals provided daily in office

false

About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the RoleDecagon is seeking a Solutions Architect, a foundational technical hire who will shape the future of our AI-powered enterprise solutions. This role sits at the intersection of pre-sales engineering, product strategy, and enterprise architecture. You will act as a trusted advisor to enterprise prospects and customers, guiding them through how Decagon’s AI-native platform integrates into their technology environments to unlock measurable business value. As a founding hire in this function, you will define best practices for technical solutioning, partner cross-functionally with Sales, Product, and Engineering, and set the standard for how Decagon engages with enterprises at scale. You will establish technical credibility with stakeholders across the C-suite, business functions, and engineering teams.What You’ll DoPartner with Account Executives to discover, qualify, and design solutions that deliver measurable ROI for enterprise customers.Rapidly assess a customer’s technology stack and requirements, translating them into an integration strategy for Decagon’s platform.Develop custom demonstrations on the Decagon platform tailored to customer-specific needs and value drivers.Establish scalable pre-sales processes, technical playbooks, and reusable assets to support growth.What You’ll Bring8–10+ years of experience in customer-facing technical roles such as Solutions Architect, Sales Engineer, or Pre-Sales Consultant.Ability to quickly understand complex enterprise technology stacks and connect them to Decagon’s platform capabilities.Demonstrated success engaging with large organizations and aligning solutions with strategic business outcomes.Strong technical proficiency in developing tailored demos, proofs-of-concept, and solution architectures.Even Better If You Have2+ years of direct AI/Generative AI sales engineering experience.Experience working in a high-growth startup environment.Hands-on experience integrating telephony infrastructure into enterprise systems.An engineering background (software engineering, systems engineering, or related) that enables you to dive deeper into technical conversations.BenefitsComprehensive medical, dental, and vision coverage.Flexible “take what you need” vacation policy.Daily lunches, dinners, and snacks provided in-office.

true

< Remote - United States > Job Description: Stability AI’s Engineering Operations team is looking for a Senior Site Reliability Engineer (SRE) to join our growing team and play a pivotal role in improving and shaping our cloud infrastructure. The person will closely work with engineering, IT, security, and product teams to drive innovation and reliability in an evolving environment. Candidates should have the initiative to build and improve a maturing cloud landscape. Responsibilities: Developing and enforcing SRE best practices and standards across the organization. Architecting and managing scalable systems in AWS and other cloud environments, focusing on high availability and resilience. Implementing and maintaining infrastructure as code using Terraform. Setting up and refining monitoring, logging, and alerting systems. Driving incident management and root cause analysis to improve system reliability. Championing SRE principles and mentoring junior team members. Qualifications: Collaborating with development teams to enhance CI/CD pipelines. Experience scaling resource intensive systems, be it storage, networking, or compute. Knowledge and experience with Kubernetes or other container scaling solutions Background in software development or automation scripting. Knowledge and experience with Grafana, ELK stack, or similar tools. Cloud security experience. Equal Employment Opportunity: We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.  

true

About Scale At Scale, our Generative AI Data Engine powers the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.  We are looking for a strong Field Engineer to join our team. This role requires a strong technical background, customer problem-solving mindset, and hands-on experience with data processing and automation. About the Role As a Field Engineer, you will be an integral member of our engineering team, responsible for ensuring customers can efficiently integrate and utilize Scale’s solutions. You will work across backend systems, automation workflows, and API integrations while collaborating closely with Customer Success, Product, and Engineering teams. You Will Own and manage technical relationships with customers, acting as the primary contact for API integration, debugging, and workflow optimization while ensuring seamless adoption of Scale’s solutions. Optimize and automate data pipelines and structured data processing through scripting and workflow improvements, ensuring efficiency and scalability. Develop and maintain internal tools, documentation, and SDKs to support customers and internal teams. Drive cross-functional collaboration with Engineering, Product, and Customer Success teams to enhance service delivery and advocate for technical improvements. Who We’re Looking For You thrive on problem-solving and unblocking others. You enjoy being the go-to person for resolving technical challenges and finding the most efficient path forward. You are patient and customer-focused. Whether working with internal teams or external customers, you take the time to understand their needs, ask the right questions, and guide them toward the best solution. You bring clarity to complexity. You excel at turning ambiguous, scattered, or confusing requests into structured, actionable plans that drive real progress. You are an exceptional communicator. You proactively keep stakeholders informed, provide clear updates, and ensure issues are resolved within the promised timeline—never letting things fall through the cracks. Ideally you’d have Strong proficiency in JavaScript/TypeScript (required); familiarity with Python is a plus. Experience working with REST APIs, debugging integration issues, and improving automation workflows. Familiarity with MongoDB or similar databases for managing structured data. Strong analytical and problem-solving skills, with a structured approach to debugging and optimization. Ability to manage multiple customer requests efficiently while maintaining high service standards. Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders. Why Join Scale? Work with top AI and ML experts to help shape the future of data-driven technology. Engage with cutting-edge customers, from startups to Fortune 500 companies. Growth opportunities to transition into leadership or specialized technical roles. Competitive salary, equity options, and comprehensive benefits package. Fully remote-friendly environment with opportunities for in-person collaboration.  PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. 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.

true

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 The future of customer engagement is AI-driven, with conversational automation representing a $300B market opportunity. While traditional NLP/NLU-powered solutions have fallen short, Observe.AI is leading the revolution with state-of-the-art LLM-powered Conversational AI technology. Backed by 7 years of experience and insights from 300+ customers, we’re perfectly positioned to disrupt the space and unlock massive value for enterprises worldwide. We are seeking an Implementation Manager who will be responsible for project managing, facilitating stakeholder design workshops, building out customer use-cases discovered during onboarding, and delivering virtual/onsite software training to trainer and end-user audiences. The implementation manager will work with new customers to stand up their Observe.AI programs and existing customers to expand their capabilities with the Observe.AI product suite. This role will need to quickly learn and adapt the customer's business objectives into a successful onboarding process from sales handoff to CSM transition. The ideal candidate applies their SaaS experience to driving implementation projects to completion, engaging key stakeholders to build a strong program foundation, and communicating technical and functional concepts in a clear concise manner. As a key member of our core team, you’ll play a pivotal role in implementing and launching cutting-edge Conversational AI products. You’ll work at the forefront of AI innovation, helping to build solutions that will transform how global enterprises adopt and scale AI—delivering real-time customer assistance, smarter automation, and seamless interactions. This is your chance to join an industry leader as we drive the future of Conversational AI and empower enterprises to reach new levels of efficiency and customer satisfaction. What you’ll be doing Lead a customer-facing program team through implementation involving discovery, technical setup, functional setup, and enablement training Guide and enable customers on their contact center AI journey with our software Manage client expectations, project timelines, documentation artifacts, and team resources Partner with CSMs to create value-based adoption goals that set the Customer up for a successful launch Deliver tailored customer enablement sessions across a variety of formats (e.g. live, recorded, virtual, in-person, train-the-trainer) Communicate project status, issues, and risks while escalating effectively as appropriate Manage multiple customer projects simultaneously Interact cross-functionally with Sales, Product-Engineering, and Customer Success to deliver project scope What you bring to the role 2+ years of work experience implementing B2B SaaS software Experience in a customer-facing role with clear deliverables and stakeholder management Comfort in crafting and delivering user-centered communications  Strong analytical and problem-solving skills in a software context Excellent attention to detail and time management skills Training experience is highly preferred What you can expect 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 base salary compensation range targeted for this full-time position is $100,000 - $110,000 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. #LI-REMOTE

false

Hey! We're team Granola 👋  If you haven't already, you should check out what we're building, and why you should work here.We’re looking for an engineer who loves building products in a fast-paced, iterative environment.In this role, you will come up with new ways to unlock value for our users using LLMs and enhance the quality and performance of our application. You’ll be talking directly with users to understand their problems and develop the features they need most. You will be part of the founding team and help unlock Granola for the next 100x users.In this role, you will:Own the development of new user-facing features end-to-end. Things like: agentic workflows, real time collaboration and lots of 0 to 1 prototypingOptimise the application for speed, scale, and reliabilityInteract with users to understand their problems and design solutionsCollaborate with a cross-functional team of engineers, product managers, designers, and other members of the team to create a cutting-edge productYour background looks something like:Engineering experience at tech and product-driven companiesProficiency with TypeScript, Node.js, and React.js (Framer Motion, Tailwind and Radix is a strong plus)Proficiency with relational databases like PostgresExperience with cloud infrastructure (we use AWS and Terraform)As a person, you…Are first and foremost a builderAre excited to work in-person from our office in London (most of the time)Love working in a startup environment (you either have experience working in a startup or are really drawn to the zero-to-one phase)Value working with people who are kind, ambitious, and pragmaticHave an interest in AI/ML (direct experience not required)Thrive in a fast-paced environment with evolving requirements and prioritiesAbout the opportunityWe are living in the most exciting time for tool builders since Engelbart's demo in 1968. We want to assemble the best crew to build this future together, here in London. Our compensation philosophy is to pay slightly above market on salary and above market on equity.We do our best work in person, and so our team spends time together five days per week in our new, bright, and spacious office at Old Street. We are happy to offer relocation assistance to candidates who'll be moving to London to join us.Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.

true

Company OverviewDeepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram.Company Operating RhythmAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.The OpportunityAt Deepgram, we make it easy to create inspiring voice experiences. Today, we offer the Deepgram Enterprise Runtime, which powers low-latency, high-quality, affordable Speech to Text, Text to Speech, Voice Intelligence and Voice Agent APIs. What’s next? We’re building the speech company.Our Customer Success team, known as The Heartbeat of Deepgram, sits at the intersection of customers, product, and growth. We’re not here just to “manage accounts”; we make Deepgram successful in our customers’ environments by combining technical expertise with commercial impact. Customer Success Engineers are hands-on partners who ensure adoption, solve complex technical challenges, and highlight opportunities for expansion. At the same time, we bring back the insights that shape Deepgram’s roadmap and the internal tools we build to support customers.Who You AreYou are not a traditional CSM. You’re a Customer Success Engineer, someone who thrives at the intersection of APIs, customer outcomes, and business growth. You have a strong technical foundation and are comfortable running demos, guiding architecture discussions, and helping customers integrate AI-driven solutions into their workflows. You’re equally skilled at reading a room, building trust with executives, and uncovering growth opportunities that come from technical adoption. You’ve likely been a Technical Account Manager, Sales Engineer, Implementation Engineer, or Support Engineer, and you’re excited to bring that blended experience to help customers realize value from day one and scale it over time.As a Partner Success Engineer, you will nurture and grow relationships with strategic customers and technology partners, leading initiatives that drive joint adoption, enablement, and measurable business outcomes. You will own the lifecycle for assigned partners from onboarding and enablement through engagement, performance analysis, and expansion.You will be pivotal in aligning partner strategies with Deepgram’s roadmap and strategy, ensuring both Deepgram and our partners achieve shared success. What You’ll DoAct as a technical expert and strategic advisor to enterprise customers, engaging directly with developers, engineers, and executives to align business goals with technical solutions.Build, nurture, and sustain customer relationships across all personas interacting with Deepgram (from developers, program managers to CIOs, CTOs, and other C-level stakeholders).Conduct regular on-site visits with customers to partner closely, work hands-on to drive adoption, and actively embed Deepgram into their workflows. Frequent travel may be required.Own and manage the full customer lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy.Focus on making Deepgram successful in the customer’s environment; ensuring products are integrated, enabled, and adopted effectively, applying best practices, reference architectures, and creative solutions to drive outcomes.Continuously operate in discovery mode, surfacing customer issues, deeply understanding their complexity and business impact, and translating them into actionable requirements for internal teams.Confidently run live product demos, guide architecture discussions, and troubleshoot L1-style issues, bridging the gap between technical support, solutions design, and commercial growth.Maintain a deep understanding of Deepgram APIs, integrations, and AI/ML technologies.Leverage AI to amplify your impact; be an expert in how Customer Success can apply AI to drive customer outcomes, surface insights, and improve internal systems.Proactively identify & scope opportunities for expansion (cross-sell, upsell, multi-product adoption), partnering with Sales.Develop and execute structured customer success plans that align business outcomes with Deepgram’s product capabilities.Proactively initiate and lead executive business reviews, joint planning sessions, and strategy workshops to stay ahead of risks, ensure alignment, and surface opportunities for growth.Serve as the voice of the customer internally, influencing product roadmap, GTM strategy, and even the internal tools and processes we build to support customers.Track, analyze, and report on key performance indicators (adoption, usage, health, satisfaction, expansion, and overall revenue impact).You’ll Love This Role If YouThrive at the intersection of sales engineering, account management, and customer success.Have high EQ and high learning index, you read the room, adapt your style, and quickly absorb technical and business complexity.Are a strong communicator who can keep many stakeholders aligned and focused, often through constant updates and over-communication on status and ownership.Are energized by technical problem-solving, live demos, and translating support questions into growth conversations or business outcomes.See customer health and technical adoption not as endpoints but as the fuel for revenue expansion.Value collaboration and thrive in high-growth, fast-paced environments where priorities shift quickly.Have a high degree of integrity and can work both collaboratively and independently in a remote WFH environment. Being self-directed is key to staying proactive.Enjoy leveraging data to guide decisions, uncover insights, and identify opportunities for program improvement.Are persistent, resourceful, and able to adapt your communication style to suit both technical and business audiences.Are thoughtful in your approach and constantly question the status quo. Just because we do things a certain way, doesn’t mean it’s the best way! It’s Important To Us That You Have7–10+ years in Technical Account Management, Sales Engineering, and/or Enterprise Customer Success (with strong technical focus), at innovative, API-driven technology companies (developer-first, developer tools, or emerging AI/tech)A proven track record in roles that blend customer engagement with technical expertise, navigating between solution design, technical problem-solving, and commercial growth.Hands-on experience with running product demos, POCs, or technical workshops with enterprise customers.Demonstrated success identifying expansions, cross-sell, and upsell opportunities in complex enterprise accounts.Strong technical aptitude: able to discuss APIs, developer workflows, and troubleshoot basic L1-style support questions (no coding required, but must be fluent in technical conversations)Experience engaging across technical teams (developers, architects, support) and executive buyers (CIO, CTO, VP Engineering, etc.).Exceptional interpersonal, communication and collaboration skills, with proven ability to influence internal and external stakeholders (including executives, technical teams, and sales).A strong sense of ownership and stewardship for your customers, and a keen focus on developing a strong personal brand.A strong understanding of partner ecosystems, channel business models (resale, referral, integrations, co-marketing, co-selling), and multi-party commercial dynamics.It Would Be Great If You HadA background spanning solutions engineering, technical account management, or L1 support in addition to CSM responsibilities.Experience working in AI, machine learning, voice AI, cloud infrastructure, or developer-first technologies.Familiarity with automation tools, advanced analytics, and/or basic scripting that help you move faster and smarter.This job description incorporates the strategic focus, cross-functional partnership, and data-driven approach that define Deepgram’s go-to-market and customer-centric roles. If you’re passionate about helping partners and technology companies thrive together, and you love operating where innovation and relationship management intersect, we’d like to hear from you.Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.We are happy to provide accommodations for applicants who need them.

false

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 are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role Join the innovative team at xAI, where we're redefining AI-driven media experiences for Grok users worldwide. As a Backend Engineer, you'll build and scale robust systems that power immersive, multi-modal media interactions, leveraging cutting-edge AI technologies. Your work will drive seamless, engaging user experiences, harnessing the potential of advanced models to captivate and delight millions. If you're passionate about tackling complex challenges and creating innovative backend solutions for AI-powered media, this is your chance to shape the future. What You’ll Do Design and implement scalable backend systems to support Grok's AI-driven media experiences, ensuring high performance and reliability. Collaborate with cross-functional teams, including frontend engineers and AI researchers, to deliver captivating, media-rich features. Build and optimize large-scale data pipelines to process and analyze multi-modal data, fueling continuous improvement of Grok's media capabilities. Architect robust infrastructure to handle real-time media interactions, enabling seamless user experiences at a global scale. Own end-to-end development of backend solutions, from system design to deployment and monitoring, delivering production-ready code with precision. Who You Are A driven problem-solver who thrives on turning innovative ideas into scalable, high-impact solutions. Proficient in Python or Rust, with a knack for writing clean, efficient, and maintainable code. Experienced in building backend systems for consumer-facing products, with a focus on performance, scalability, and reliability. Skilled in designing and managing large-scale data infrastructure to support AI-driven applications, particularly in media or multi-modal contexts. Passionate about AI and media technologies, with a commitment to creating user-focused products that inspire and engage. Proven ability to deliver production-ready solutions to millions of users, ensuring robustness and seamless performance. Tech Stack Python Rust 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. Systems hands-on: Demonstrate practical skills in a live problem-solving session. Project deep-dive: Present your past exceptional work to a small audience. Meet and greet with the wider team. 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 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

false

FEQ226R335 Databricksは、お客様がAIプラットフォームを活用して、世界で最も難しいなデータに関する課題を解決できるよう支援することをミッションとしています。デリバリーソリューションアーキテクト（DSA）は、この重要なミッションにおいて、セールスおよびフィールド・エンジニアリングチームと協力し、お客様のDatabricksプラットフォームの導入と利用拡大を加速させる重要な役割を担います。DSAとして、お客様がすでに導入を決定したDatabricksのワークロードについて、お客様がプラットフォームから最大限の価値と投資対効果を得られるよう、技術的な指導とサポートを提供し、お客様の成功を確実にします。特に、複雑な課題を抱えるお客様に対して、より重点的かつ技術的な責任を持って支援を行います。 このポジションは、技術とビジネスの両面を兼ね備えたハイブリッドな役割です。担当するお客様とユースケースにおいて、成長を推進します。ビジネス面では、お客様の意思決定者と関係を構築し、他の専門チームと連携しながら、Databricksが実行できる計画や戦略を策定・推進します。技術面ではDatabricksの全製品における、お客様導入後の技術的なリーダーとなります。組織内のあらゆるレベルの人々と、技術的な専門知識を活かしてコミュニケーションをとる能力が求められます。本ポジションは、日本のフィールド・エンジニアリング・ディレクター/Technical GM の直属となります。 あなたがもたらす影響 :  ソリューション・アーキテクトと連携し、重要顧客におけるユースケースの全体的な需要計画を把握します。 Databricksの主要なユースケースにおいて、Technical Win後のアカウント戦略と実行計画を主導します。 複数の営業チームや社内関係者と連携し、特定のユースケースや顧客に対する技術的な責任者となります。お客様がDatabricksの導入を決定したワークロードについて、不確実性を取り除き、オンボーディング、有効化、成功、本稼働、そして健全な利用を推進します。 お客様が合意したユースケースの本番稼働や運用に関する技術的な問題や質問に対し、最初の窓口として対応します。特に、大規模で複雑な組織においては、複数のユースケースを担当することが多くあります。 社内の専門家（共有サービス、ユーザー教育、オンボーディング／技術サービス、サポートなど）と連携し、自身の業務範囲や専門知識を超えるタスクを適切に割り振ります。必要に応じて、より専門的な技術エキスパートにもエスカレーションを行います。 主要なユースケースを本番環境へ迅速に移行させるための視点を構築し、プロフェッショナルサービスと連携して提案書の作成を進めます。 Databricksの製品・エンジニアリングチームと連携し、新製品のイノベーション、プライベートプレビュー、アップグレードのニーズに対応します。 以下のワークストリームをカバーするため、顧客に接するすべての技術職およびチームの活動を網羅する実行計画を策定します。 本番環境へ移行する主要なユースケース 有効化／ユーザー成長計画 製品導入（Databricksのレイクハウス・ビジョンを導入するための戦略と活動） 現在の投資に対するオーガニックなニーズ（例：クラウドコスト管理、チューニング＆最適化） エグゼクティブおよび運用ガバナンス 利用状況や顧客の状態に関するKPIレポート（投資状況、重要なリスク、製品導入、ユースケースの進捗状況など）を、Technical GMに定期的に報告します。 必要な条件/経験: データおよびAI領域における技術的なプロジェクト/プログラムのデリバリーに責任を持ち、顧客との技術的な議論や設計の選択に貢献した8年以上の経験。 Python、SQL、またはScalaでのプログラミング経験。 顧客と直接対面するプリセールス、技術アーキテクト、カスタマーサクセス、またはコンサルティングの経験。 分散データシステムに関連するソリューション・アーキテクチャの理解。 特定のプロジェクト成果物に対し、ビジネス価値と成果を結びつける方法の理解。 アカウント、ステークホルダー、リソース管理の責任を含む技術的なプログラムまたはプロジェクト管理の経験。 顧客企業のシニア・エグゼクティブとの間で、複雑かつ重要なエスカレーションを解決した経験。 自由形式のディスカバリー・ワークショップの実施、戦略的ロードマップの作成、ビジネス分析、複雑なプログラム/プロジェクトのデリバリー管理の経験。 目標（Quota、Goalsなど）に対する達成実績。 Databricksについて DatabricksはデータとAIの企業であり、全世界で10,000以上の組織が、Comcast、Condé Nast、Grammarly、Fortune 500の50%以上を含む、Databricks Data Intelligence Platformを利用してデータ、分析、AIを統合し民主化しています。Databricksはサンフランシスコに本社を置き、世界中にオフィスを展開しており、Lakehouse、Apache Spark™、Delta Lake、MLflowのオリジナルクリエイターによって設立されました。詳細については、X、LinkedIn、FacebookでDatabricksをフォローしてください。About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

false

About Mistral At Mistral we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation, with teams distributed between Europe, the USA and Asia. We are creative, low-ego and team-spirited. At Mistral, we develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit. Mistral is hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI. What will you do *Research and develop novel methods to push the frontier of large language models*Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)*Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale*Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact About you * An expert in speech input/output methodologies (specific to audio)*You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)*You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)*You have high engineering competence. This means being able to design complex software and make it usable in production*You are a self-starter, autonomous and a team player Now, it would be ideal if* You have experience working with large-scale speech-language models*You have hands-on experience with training large transformer models in a distributed fashion*You can navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment *You have a strong publication record in a relevant scientific domain Note that this is not an exhaustive or necessary list of requirements. Please consider applying if you believe you have the skills to contribute to Mistral's mission. We value profile and experience diversity. Benefits France💰 Competitive cash salary and equity🥕 Food : Daily lunch vouchers🥎 Sport : Monthly contribution to a Gympass subscription 🚴 Transportation : Monthly contribution to a mobility pass🧑‍⚕️ Health : Full health insurance for you and your family🍼 Parental : Generous parental leave policy🌎 Visa sponsorship UK💰 Competitive cash salary and equity🚑 Insurance🚴 Transportation: Reimburse office parking charges, or 90GBP/month for public transport🥎 Sport: 90GBP/month reimbursement for gym membership🥕 Meal voucher: £200 monthly allowance for its meals💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)

false

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.We’re looking for a versatile Field Application Engineer (FAE) who thrives at the intersection of software and hardware. In this role, you’ll partner with customers to design, deploy, and optimize solutions that combine high-performance compute systems with next-generation AI/ML applications. This is a hands-on, customer-facing position where your technical expertise will directly shape real-world impact. This role is hybrid, based out of Cyprus. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.   Who You Are Experienced Field Application Engineer, Solutions Architect, or Technical Specialist with a background spanning both hardware and software. Skilled programmer in Python with working knowledge of C++ and CUDA for parallel processing. Strong understanding of AI/ML frameworks such as PyTorch and TensorFlow, with experience deploying and optimizing models. Excellent communicator who can translate complex technical concepts into actionable insights for customers.   What We Need Technical partner for customers designing AI/ML solutions, including Generative AI, LLMs, vision, and language models. Expertise in hardware platforms (CPUs, GPUs, accelerators) to support installation, configuration, and performance optimization. Ability to troubleshoot issues across hardware, firmware, drivers, and software in Linux environments. Contributor to customer success by training users, sharing feedback with engineering, and staying current on AI and hardware advancements.   What You Will Learn How leading-edge AI models and high-performance hardware are being deployed in real-world environments. Ways to integrate customer feedback into product development, influencing the next generation of compute and AI solutions. Best practices for scaling AI workloads using virtualization, containerization, and job scheduling tools. The latest industry trends in both hardware acceleration and AI/ML frameworks—and how to apply them in customer engagements.   Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

false

About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What You’ll Do:Lead security initiatives for Sierra’s Conversational AI Platform spanning data protection, identity and access management, infrastructure hardening, change management, operational resilience, and vulnerability management.Bring structure, visibility, and accountability to critical security programs, aligning them with our growth and customer trust goals.Shape compliance readiness by aligning with frameworks such as ISO 42001, ISO 27001, PCI DSS, SOC 2, HIPAA, and the EU AI Act—translating these into actionable controls and scalable processes.Build a security-first culture, designing awareness programs that empower every team member to understand and own their role in protecting Sierra and our customers.Embed trust by design, partnering with Product, Platform, and Agent Engineering to bake security, privacy, and responsible AI practices directly into how our stack is built and deployed.Who You’ll Work With:You’ll collaborate across a wide range of teams including Product, Platform Engineering, Agent Development, Legal, Operations, Sales, and GTM to embed security and compliance across our tech stack. Your role bridges technical execution, business momentum, and evolving regulatory demands ensuring our trust posture scales with both innovation and expectation.What You’ll Bring:Security & Privacy Expertise: Deep understanding of first principles in security and privacy plus the judgment to apply them practically in fast-moving, AI-native, data-rich environments.Framework Fluency: Strong command of standards like ISO 27001, ISO 42001, PCI DSS, and the EU AI Act, and the ability to drive alignment without dragging velocity.Product Intuition: You understand how our product works, how data flows, how agents behave, and how infrastructure scales. You apply that knowledge to identify risk, shape architecture decisions, and guide controls.Adaptability: You’re energized by uncertainty. You’re comfortable building in motion, adjusting as priorities shift, and solving ambiguous problems at speed.Strong Communication: You can tell a story that resonates with engineers and customers alike. You can explain risks, trade-offs, and decisions with clarity and credibility.Even BetterExperience operating in regulated and high-trust sectors such as tech, fintech, healthcare, or AI especially where customer expectations around security, privacy, compliance, and transparency are high.Hands-on cloud security knowledge (AWS, Azure, GCP) and familiarity with compliance automation tools that help scale GRC in a fast-paced environment.Working knowledge of core security domains including Identity & Access Management, Product Security, Data Security, and Infrastructure Security.A Bachelor’s or Master’s degree in Information Security, Computer Science, Information Management, or a related technical or risk-focused field.Why Join Us?You’ll be at the intersection of technology, security compliance, and AI innovation helping to shape how trust is built in one of the fastest-moving fields today. At Sierra, we learn fast, move faster, and believe that compliance should unlock possibility. If you're energized by ambiguity, excited to build from first principles, and motivated to turn security into a strategic advantage, this role is for you.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

false

📐 About this roleWe’re looking for a Strategic customer success manager to lead AI powered transformation for our Fortune 50 customers in the CPG industry. This role is designed for an experienced professional with deep expertise in CPG who thrives on driving innovation within this ecosystem. The ideal candidate is passionate about integrating AI solutions into core CPG workflows, identifying tangible business value, and building strong, strategic partnerships with customers.As our Strategic customer success manager, you’ll be pivotal in refining our processes for onboarding, adoption, and retention within the CPG sector. With an NRR of +130%, and GRR is +95%, you’ll be building on a world-class foundation to drive even greater success.You'll be reporting to the Director of customer success and be working very closely with our other customer success managers in building a world class CS org.🦸🏻‍♀️ Your responsibilities:Lead strategic relationships with senior stakeholders across Fortune 50 CPG customers, acting as the main point of contact and trusted advisorDrive AI adoption within customer organizations by developing tailored success plans that align AI solutions with key business objectives and measurable outcomesManage complex, high-value programs that focus on AI - powered transformation, ensuring seamless execution, adoption, and business value realizationOwn the full customer renewal process, including forecasting, negotiating, and proposal creatingBe accountable for customer retention: Drive both Gross and Net dollar retention rate targets for your customersCollaborate closely with Sales to identify and execute expansion opportunities, ensuring mutual growth through cross-sell and up-sell initiativesAdvocate for customer needs internally: Leverage CPG-specific insights to influence product strategy and enhance the customer experienceLeverage data analytics: Analyze product usage and adoption data to uncover valuable insights, empowering customer champions with smarter decision-makingLead the customer journey: Ensure a seamless experience from onboarding through renewals and expansions, always focusing on long-term customer success and satisfaction⭐️ Is this you?7+ years experience in CPG, ideally with in-house expertise3-5+ years experience in a customer facing saas or consulting role, with experience in driving business transformation, strategy, or enablementProven ability to engage C-level stakeholders, with experience influencing executive decision-makers and driving adoption at the highest levelsStrong understanding of CPG industry dynamics, including its challenges, opportunities, and specific needs for digital transformationA track record of leading complex programs with a focus on strategic alignment, KPIs, and driving large-scale adoptionData driven with strong business acumen: Ability to link product value and AI solutions to measurable business outcomesExcellent communication skills: A skilled storyteller who can clearly articulate value propositions and insights to both technical and non-technical audiencesProactive, self-motivated, and highly organized, thriving in a fast-paced, high-growth environmentA natural affinity to our values of Connect, Challenge, Own🌟 Preferred skillsBackground in management consulting, particularly with a focus on AI or digital transformation in CPGExperience in operational transformationExperience managing large-scale change management programs or AI rollouts in complex organizationsExceptional presentation skills: Able to create and deliver compelling narratives to executive audiences, driving strategic initiatives forward 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

false

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 office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.About the RoleLambda Security protects some of the world's most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence.As a Security Engineer on the Detection & Response team, you'll be a core technical contributor building detection capabilities, driving incident response, and eliminating firefighting everywhere possible.Reporting to the Senior Manager of Detection & Response and working within our specialized Detection & Response team, you'll build and operate detection systems, lead incident investigations, develop threat intelligence capabilities, and contribute to red team activities. You'll coordinate closely with Security Technical Program Management to drive prioritized security remediations across the organization, ensuring that critical threats are addressed systematically rather than reactively.You will work on implementing enterprise-grade detection capabilities, automating incident response workflows, developing threat hunting programs, and building tooling that enables 24/7 security operations. You'll have unique access to LLMs hosted on our own infrastructure to implement and experiment with AI-powered detection and response capabilities that wouldn't be possible anywhere else.If you thrive on hunting threats, responding to incidents, and building detection systems that protect cutting-edge AI infrastructure at scale, we'd love to talk.We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role. Your application is not a waste of our time.What You’ll DoIncident Response & Operations:Response: Qualify reports and lead response activities from initial triage through remediation and retrospective.Automation: Develop tools and workflows that accelerate incident response and reduce mean time to resolution.Coordination: Drive prioritization and remediation of security findings across engineering teams in coordination with Security Technical Program Management.24/7 Operations: Participate in on-call rotation, ensuring rapid response to security events that threaten customer data or operations.Threat Detection & Analysis:Detection Engineering: Create and tune detection rules and alerts that identify threats across Lambda's infrastructure before they impact customers or revenue.Threat Intelligence: Research and operationalize threat intelligence specific to AI infrastructure and Lambda's unique threat landscape.Threat Hunts: Proactively search for indicators of compromise and suspicious activity that automated detection might miss.Explore AI-driven Security: Leverage Lambda's hosted LLMs to create AI-powered threat detection, automated triage, and intelligent alert correlation.Offensive Security: Support periodic tabletop exercises and red team activities to test and improve detection coverage and response capabilities.What We Think a Candidate Needs to Demonstrate to SucceedHave 3+ years of hands-on security engineering experience and 5+ years of total engineering experience, with demonstrated impact in detection and incident response.Thrive in high-speed, high-ambiguity startup environments where you build security capabilities while responding to immediate threats.Deep technical expertise with security tooling including SIEM/SOAR platforms, EDR solutions, vulnerability scanners, and cloud security monitoring.Excel at solving problems in Python, Go, or similar languages, building automations that scale security impact.Proven ability to work effectively with cross-functional technical teams both with and without authority (we're all on the same team!).Strong Linux systems experience in both bare metal and cloud environments, understanding infrastructure from kernel to application layer.Excellence at translating security concerns into business risk, enabling stakeholders to make informed decisions.Nice to HaveYou've built or contributed to detection engineering programs or incident response capabilities.Experience with threat intelligence platforms, threat hunting methodologies, or purple team exercises.Deep experience with specific SIEM platforms (Splunk, Elastic, Chronicle) or SOAR solutions.Experience driving or providing significant evidence for compliance audits, such as SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP.You've developed detection content shared with the security community (Sigma rules, YARA, etc.).Experience responding to incidents in both cloud (AWS, GCP, Azure) and bare metal environments.Security certifications like GCIH, GNFA, GCIA, or similar that demonstrate incident response expertise.Experience with forensics, malware analysis, or reverse engineering.Excitement about leveraging our direct access to state-of-the-art LLMs to enhance detection and response—imagine AI-powered threat hunting, automated incident triage, and intelligent alert correlation at a scale only possible when you host the AI infrastructure yourself.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

false

About Celestial AI As Generative AI continues to advance, the performance drivers for data center infrastructure are shifting from systems-on-chip (SOCs) to systems of chips. In the era of Accelerated Computing, data center bottlenecks are no longer limited to compute performance, but rather the system’s interconnect bandwidth, memory bandwidth, and memory capacity. Celestial AI’s Photonic Fabric™ is the next-generation interconnect technology that delivers a tenfold increase in performance and energy efficiency compared to competing solutions. The Photonic Fabric™ is available to our customers in multiple technology offerings, including optical interface chiplets, optical interposers, and Optical Multi-chip Interconnect Bridges (OMIB). This allows customers to easily incorporate high bandwidth, low power, and low latency optical interfaces into their AI accelerators and GPUs. The technology is fully compatible with both protocol and physical layers, including standard 2.5D packaging processes. This seamless integration enables XPUs to utilize optical interconnects for both compute-to-compute and compute-to-memory fabrics, achieving bandwidths in the tens of terabits per second with nanosecond latencies. This innovation empowers hyperscalers to enhance the efficiency and cost-effectiveness of AI processing by optimizing the XPUs required for training and inference, while significantly reducing the TCO2 impact. To bolster customer collaborations, Celestial AI is developing a Photonic Fabric ecosystem consisting of tier-1 partnerships that include custom silicon/ASIC design, system integrators, HBM memory, assembly, and packaging suppliers.ABOUT THE ROLE We are seeking a Photonics Chip Lead that can own the delivery of product PICs for Celestial’s industry-leading scale-up network offerings. The role requires deep expertise and experience in Silicon Photonics system, block & device design, IC design EDA tools and PIC/ASIC co-design. ESSENTIAL DUTIES AND RESPONSIBILITIES Delivery of Photonic ICs (PICs) for Celestial’s key product segments. Drive critical aspects of PIC design, including photonic architecture & routing, schematic capture & modeling and physical design. Work in conjunction with broader analog, digital and packaging teams to ensure PIC meets all product specifications and integration requirements. Contribute to the design of Silicon Photonic devices and subsystems to augment the Celestial Photonics PDK.   QUALIFICATIONS   Specialized skills Strong experience with complete Silicon Photonics PIC development (architecture, routing, link-budget development, system integration) Strong experience with modeling of photonic circuits and with simulation of Silicon Photonics components using standard tools (Lumerical, Photon Design, RSoft, VPI or similar) Experience with physical design/layout tools (Cadence, Mentor or similar) Experience with PIC co-design with ASICs and digital control blocks Experience with data analysis tools (JMP, DataConductor or similar) Education requirements Minimum MS in engineering or physics. PhD is preferred. Experience requirements Minimum 10 years of relevant experience Attributes Self-starter Thrives in a highly collaborative and dynamic work environment Excellent oral and written communication skills Creativity in problem-solving with strong attention to detail     LOCATION: Santa Clara, CA   For California Location: As an early stage start up, we offer an extremely attractive total compensation package inclusive of competitive base salary, bonus and a generous grant of our valuable early-stage equity. The target base salary for this role is approximately $195,000.00 - $235,000.00. The base salary offered may be slightly higher or lower than the target base salary, based on the final scope as determined by the depth of the experience and skills demonstrated by candidate in the interviews.We offer great benefits (health, vision, dental and life insurance), collaborative and continuous learning work environment, where you will get a chance to work with smart and dedicated people engaged in developing the next generation architecture for high performance computing. Celestial AI Inc. is proud to be an equal opportunity workplace and is an affirmative action employer.   #LI-Onsite

false

About LightfieldLightfield is a next-generation CRM that automatically captures customer interactions like emails, meetings, and support tickets and organizes them into structured CRM data, enabling deep analysis of customer activity and powerful automation.Unlike traditional CRMs, Lightfield continuously learns from how you sell and who you sell to, directly from the words of customers and actual workflows in the system. With this data, Lightfield proactively manages customer tasks, automates personalized customer communication, and delivers the visibility and insights needed for teams to continually refine their go-to-market strategy.The company is initially focused on becoming the first comprehensive system of record and go-to-market platform for high-growth technology companies. With a flexible and scalable model for data capture and organization, Lightfield is designed to be the last CRM and GTM-automation tool our companies will ever need.Our team previously built Tome, a generative AI presentation product used by over 25 million people, gaining deep expertise in context management, effective evaluation loops, and user-interaction design for generative AI. Before Tome, many of us worked on Llama, Instagram, Facebook Messenger, Pinterest, and Salesforce.About the roleWe’re looking for a driven, creative engineer who is excited about the challenge of leveraging LLMs to build exceptionally innovative product experiences.You’ll join us at the frontier of AI product development, developing industry-leading approaches to solve important customer problems.Engineers at Lightfield own and drive projects from inception to impact, working with teammates of all functions along the way.You’ll also push our company’s overall product and technical vision as we learn from each project and continue to scale.What You'll doCollaborate with product leaders to identify customer problems, scope requirements, and implement LLM-powered solutions.Apply LLMs as reasoning engines to build domain-specific AI assistants.Create and enhance prompts, applying techniques like few-shot learning and chain-of-thought.Develop and optimize end-to-end RAG pipelines and agent architectures to leverage public and proprietary data.Improve end-to-end AI agent quality (e.g. relevance, fidelity, latency) via empirical evaluation and iteration.Build and enhance systems and tools that enable high-velocity experimentation (e.g. LLM-powered automated evaluation) and customized product experiences.Stay at the forefront of AI research and incorporate state-of-the-art techniques.Shape technical direction and best practices for AI application development at Lightfield.Help build a world-class engineering team by recruiting and mentoring teammates.Who you areYou have the ability to ramp quickly on tech stack that features TypeScript, React, Next.js, Node.js, Apollo GraphQL, and Aurora PostgreSQL.You have explored working with LLMs, either through professional projects or personal experimentation.You have a degree in Computer Science or a related field, with a strong foundation in software engineering principles.You are familiar with AI and ML concepts (e.g. training, evaluation techniques).You are passionate about keeping up with and exploring the latest advancements in LLMs and LLMOps (including open source solutions, e.g. LangChain).You are excited to develop new best practices in an emerging domain.You can drive a project with an ambiguous problem independently.You enjoy strategically balancing ambitious vision with frequent delivery of user value.You are able to clearly communicate your reasoning and decisions to your teammates (technical and nontechnical) at an appropriate altitude of detail.You are energized by building software experiences customers will use directly and depend on to do their jobs successfully.Benefits & PerksCompetitive salaryMeaningful early equityHealth insurance (medical, dental, vision)3 weeks of PTO11 paid company holidays + we enjoy a winter holiday break3 months of paid family leaveWednesdays work from homeRegular team dinners, events, offsites, and retreats401k planOther perks include: commuter and lunch stipend

false

About LangChain:LangChain was founded in early 2023 to help developers build context-aware reasoning applications. LangChain, open source software, is a framework that gives developers the building blocks to create production-ready applications with LLMs. LangSmith is our commercial, all-in-one SaaS platform that enables the end-to-end, development workflow for building LangChain and LLM-powered apps. LangSmith is now trusted by the best teams building with LLMs, at companies such as Airbnb, Rakuten, Elastic, Moody’s, Retool, and more. We’re a small team making an outsized impact (~5M monthly downloads and 50k+ applications powered).Backed by some of the best venture capitalists, Benchmark and Sequoia, we have big ambitions and are set up to build an enduring business. About the role:In person 5 days/week in San Francisco, CA or New York, NYWe are looking for a Backend Engineer to join our LangSmith team. In this role, you will be responsible for designing and building the backend systems that power LangChain’s observability and evals platform. You will work on the core services that allow developers to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be extremely valuable.What you will do:Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows.Collaborate on architectural decisions to ensure systems are performant and maintainable.Optimize storage and query performance for high-volume observability and evaluation data.Ensure system reliability through strong testing, monitoring, and alerting practices.Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes.Create and maintain technical documentation, including system design and API references.Work closely with full-stack engineers, product managers, and product designers on rolling out new features.How to be successful in this role:5+ years of professional experience in backend engineeringProficiency in one or more backend languages/frameworks, ideally Python or GoStrong understanding of API design and building reliable data services.Experience with high-throughput or mission-critical systems.Demonstrated ability to optimize backend services for performance and reliability.Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure)Strong communication skills, with the ability to collaborate cross-functionallyCustomer centricity and ownership mentalityCompensation & Benefits:Competitive salary, equity & benefits package, commensurate with experience and aligned with stage of the company.Annual salary range: $155,000- $195,000