AI Software Engineer Jobs

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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

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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.ABOUT THE JOB Anduril is seeking an experienced Systems Engineer with expertise in energy storage subsystem development. Looking for a self-starter with technical experience in defense, aerospace, industrial or electrification industries to apply their skills to meet Anduril’s unique set of challenges. This individual will be responsible for energy storage development and systems engineering, from concept to production, while ensuring alignment with strategic business goals supporting the AD&S team. The engineer could also be involved in managing key vendor relationships, and ensuring performance and reliability in our cutting-edge technologies. WHAT YOU’LL DO Drive end-to-end energy storage system (ESS) development on extremely accelerated timelines Collaborate with program teams to define actionable ESS requirements from user story/CONOPs Execute and/or deliver the following ESS development artifacts/steps: ESS requirements, battery cell selection and validation Familiarity with ESS architecture and design concepts Battery management system (BMS) requirements, BMS HW and FW/SW design, BMS SW feature plan/roadmap, BMS validation plan at bench and HIL level Cell, module, and pack level validation plan. Support bring-up, test, debug, and vehicle integration Ramp plan from development units to production Sustain fielded ESSs with root cause analysis and data processing, drive countermeasures/design updates as needed REQUIRED QUALIFICATIONS Bachelor’s Degree in Electrical Engineering, Mechanical Engineering or fundamental Physical Sciences with applied application focus on energy storage technologies, with 5+ years of experience designing, testing, and troubleshooting energy storage systems. Competence with battery test equipment such as cell and pack cyclers, thermal chambers, battery health testers (EIS, ACIR, hi-pot, megger, etc) One of the following: 1) Experience with programming and modeling tools: Matlab, Simulink, and/or battery algorithm development. 2) Electrical circuit design/integrations experience. Familiarity with common electrochemical energy storage materials, technologies and boundaries of operation Knowledge of modern battery management system capabilities and requirements in HW and SW/FW Experience in battery characterization methods: mission profile validation, equivalent-circuit model characterization, cycle/calendar life assessment, safety features, etc. Understanding of UN38.3, NAVSEA S9310 and/or equivalent (UL, IEC) battery safety standards Must be a U.S. Person due to required access to U.S. export controlled information or facilities PREFERRED QUALIFICATIONS Graduate Degree in Electrical Engineering, Mechanical Engineering or fundamental Physical Sciences with a focus on energy storage technologies Understanding and familiarity with MIL-STD-882, MIL-STD-810, MIL-STD-704, MIL-STD-461, MIL-STD-464 Demonstrated experience in delivering robust, high-performance, energy storage systems with substantial technical ownership/contributions Demonstrated experience in battery testing, modeling, controls, and BMS integration/operation  US Salary Range$132,000—$213,000 USD  The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Platinum Healthcare Benefits: For U.S. roles, we offer comprehensive medical, dental, and vision plans at little to no cost to you. For UK roles, Private Medical Insurance (PMI): Anduril will cover the full cost of the insurance premium for an employee and dependents. For AUS roles, Private health plan through Bupa: Coverage is fully subsidized by Anduril. Basic Life/AD&D and long-term disability insurance 100% covered by Anduril, plus the option to purchase additional life insurance for you and your dependents. Extremely generous company holiday calendar including a holiday hiatus in December, and highly competitive PTO plans. 16 weeks of paid Caregiver & Wellness Leave to care for a family member, bond with your baby, or tend to your own medical condition. Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting. Mental Health Resources: We provide free mental health resources 24/7 including therapy, life coaching, and more. Additional work-life services, such as free legal and financial support, available to you as well. A professional development stipend is available to all Andurilians. Company-funded commuter benefits available based on your region. Relocation assistance (depending on role eligibility). 401(k) retirement savings plan - both a traditional and Roth 401(k). (US roles only) The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we'd love to hear from you! To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.

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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 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

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About the Role We are building the next-generation AI-powered platform and web application for easy and fast creation of audio and video content. Building a revolutionary way to record, transcribe, edit, and mix audio and video on the web comes with a series of unique technical challenges and requires solving hard and complex problems. We are looking for an experienced software engineer to build a best-in-class video editing and streaming platform to power the core editing and AI functionality of the app. About the team: Descript’s editor product makes the creation of high quality video and audio content accessible to anyone. The product, which was originally geared towards podcasters, has grown into a broad suite of editing tools that support a wide range of use cases. The Editor team is responsible for building the product experiences that will continue to expand the capabilities of the editing experience and enable even more people to experience the ease and joy of producing content with Descript. What you bring: 5+ years of professional fullstack software engineering experience. Expertise in Typescript, React, and RESTful APIs Solid CS fundamentals, including data structures, algorithms, databases (Postgres, Redis) Experience building creative tools in the past or you're a frequent user of creative media tools A desire to have a high degree of ownership and accountability A deep understanding of system design principles and are effective at understanding and integrating customer needs into your decisions The ability to thrive in collaborative environments including when working with other functions (e.g. product, design, research, AI engineering) What the team is working on: As the owners of the core editing experience, the Editor team’s work covers a broad range of features. Building traditional editing functionality (e.g. timeline editing, effects & animations) Integrating in-house (e.g. studio audio) and third-party AI functionality to supercharge any user’s ability to make excellent video and audio content Supporting the data model and systems that manage the state of projects across clients Building media management features that enable organizations to build on Descript as a team This team might be a good fit for you if… You’re excited to work on creative tools where users’ workflows are varied and complex You’re energized by having a high degree of ownership and accountability You like to own technical solutions and are also passionate about making the best product experience possible for the user You thrive in collaborative environments and enjoy working with other functions (e.g. product, design, research, AI engineering)   At our current size and stage, we embrace a flat organizational structure and value the expertise and contributions of every team member. As such, we have a unified job title for our engineering roles where everyone, including those with Staff-level scope, is considered a Software Engineer. While titles may not change, we are actively seeking Software Engineers with senior-or-higher-equivalent experience to join our team. The base salary range for this role is $212,000-$250,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above.  About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital).  Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles.  For those who are remote, we have a handful of opportunities throughout the year for in person collaboration.  For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.  Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive. 

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Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About This Role:As a Senior Staff Software Engineer on the Managed AI team at Crusoe, you'll have a pivotal role in shaping the architecture and scalability of our next-generation AI inference platform. You will lead the design and implementation of core systems for our AI services, including resilient fault-tolerant queues, model catalogs, and scheduling mechanisms optimized for cost and performance. This role gives you the opportunity to build and scale infrastructure capable of handling millions of API requests per second across thousands of customers.From day one, you'll own critical subsystems for managed AI inference, helping to serve large language models (LLMs) to a global audience. As part of a dynamic, fast-growing team, you’ll collaborate cross-functionally, influence the long-term vision of the platform, and contribute to cutting-edge AI technologies. This is a unique opportunity to build a high-performance AI product that will be central to Crusoe's business growth.What You’ll Be Working On:Design and Development:Lead the design and implementation of core AI services, including:Resilient fault-tolerant queues for efficient task distribution.Model catalogs for managing and versioning AI models.Scheduling mechanisms optimized for cost and performance.High-performance APIs for serving AI models to customers.Scalability and Performance:Build and scale infrastructure to handle millions of API requests per second.Optimize AI inference performance on GPU-based systems.Implement robust monitoring and alerting to ensure system health and availability.Collaboration and Innovation:Collaborate closely with product management, business strategy, and other engineering teams.Influence the long-term vision and architectural decisions of the AI platform.Contribute to open-source AI frameworks and participate in the AI community.Prototype and iterate on new features and technologies.What You’ll Bring to the Team:Strong Engineering Fundamentals:Advanced degree in Computer Science, Engineering, or a related field.Demonstrable experience in distributed systems design and implementation.Proven track record of delivering early-stage projects under tight deadlines.Expertise in using cloud-based services, such as, elastic compute, object storage, virtual private networks, managed database, etc.AI/ML Expertise:Experience in Generative AI (Large Language Models, Multimodal).Familiarity with AI infrastructure, including training, inference, and ETL pipelines.Software Engineering Skills:Experience with container runtimes (e.g., Kubernetes) and microservices architectures.Experience using REST APIs and common communication protocols, such as gRPC.Demonstrated experience in the software development cycle and familiarity with CI/CD tools.Preferred Qualifications:Proficiency in Golang or Python for large-scale, production-level services.Contributions to open-source AI projects such as VLLM or similar frameworks.Performance optimizations on GPU systems and inference frameworks.Personal Attributes:Proactive and collaborative approach with the ability to work autonomously.Strong communication and interpersonal skills.Passion for building cutting-edge AI products and solving challenging technical problems.Benefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid Commuter FSA benefit of $200 per monthCompensation:Compensation will be paid up to $259,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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About Brain Co.Brain Co. is at the forefront of productionizing artificial intelligence for real-world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real-world problems in various governments and industries where manual work is still dominant. We are seeking visionary backend engineers with a passion for AI to join us. You'll be converting groundbreaking research into real-world applications that revolutionize industries, boost human creativity, and address complex challenges.About The RoleAs an AI Platform Engineer at Brain Co., you will play a pivotal role in building and deploying state-of-the-art backend systems to automate various real-world problems. You will work directly with the customer to develop the product spec and building from zero. From designing robust and scalable architectures to optimizing performance and reliability, you will turn research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.In This Role, You Will:Innovate and Deploy: Design, develop, and deploy advanced backend solutions that integrate AI to tackle real-world problems, particularly in automating complex, manual processes in government and industrial sectors. Utilize modern backend frameworks, microservices architecture, and cloud computing to build applications that apply AI to intricate optimization challenges.Make a Big Impact: Interact directly with key customer stakeholders to apply pioneering AI solutions while working alongside experienced ex-founders, government officials/ministers, AI researchers, and engineers. Understand complex business challenges and deliver backend solutions powered by AI. Join a dynamic team where ideas are exchanged freely, and creativity flourishes. You will wear many hats: software development, system architecture, product management, and interpersonal skills.Optimize and Scale: Build scalable data pipelines, integrate industrial sensor networks, optimize application performance and reliability, and prepare systems for production. Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems.Learn and Lead: Stay abreast of the latest developments in backend engineering and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices. Mentor junior engineers and lead by example.Make a Difference: Monitor and maintain deployed applications to ensure they continue delivering value across various governments worldwide. Work directly with customer engineers and SMEs to develop and tune applications that optimize their workflows and deliver tangible upside. Your work will directly impact how AI benefits individuals, businesses, and society at large.You Might Thrive In This Role If You:Have 5+ years of experience and an appetite for working directly with the customer to develop the software spec and build from zeroAre experienced with backend technologies, microservices, and cloud platforms.Have demonstrated experience with modern backend frameworks, cloud compute and storage, RESTful APIs, and database management systems.Possess a strong foundation in software design principles, data structures, and algorithms.Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.Have deep experience in implementing security best practices across the platform — from system/network security, to code and deployment pipelines, monitoring, and incident response.Can work collaboratively with cross-functional teams.Thrive in fast-paced environments where priorities or deadlines may compete.Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.Hold a Bachelor’s/Master’s degree in Computer Science, Software Engineering, or a related field.BenefitsCompetitive salary plus equityDaily lunchesCommuter benefits401(k)Medical, Dental and VisionUnlimited PTO

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About UsAt Squint, we're building technology that matters. While many tech companies focus on digital-first industries, we've set our sights on empowering the 80% of the global workforce that keeps our world running: frontline manufacturing operators. From soda cans to tires, toothpaste to chocolate bars, chips to napkin holders, these are the people who build the things you touch and see every single day.The Leading Manufacturing Intelligence PlatformSquint delivers critical knowledge to frontline workers exactly when and where they need it. Our platform transforms manufacturing operations by putting AI and AR capabilities directly at workers' fingertips, creating what we call "agentic manufacturing" – where every team member has the power to make informed decisions in real-time using practical, applied artificial intelligence tools.Proven Impact with Industry LeadersOur technology serves Fortune 500 leaders across Automotive, Consumer Packaged Goods, and Life Sciences industries. These companies trust Squint to capture and activate their essential operational know-how, resulting in measurable improvements: reduced downtime, minimized waste, and optimized productivity at scale.Technology that Respects its UsersWe build consumer-grade software that delivers enterprise-grade results on familiar devices: phones and tablets. By combining cutting-edge innovation with deep customer insights, we create tools that feel intuitive while transforming how physical production environments operate.Backed and Built by the BestWe raised a $40m Series B at a $265m valuation and are backed by elite investors; including Sequoia Capital, Menlo Ventures, TCV and The Westly Group. Our co-founders have been recognized on Forbes' 30 Under 30 for Manufacturing and Industry, and Fast Company named us one of the most innovative augmented and virtual reality companies of 2025.Join Us in Making a DifferenceWhen you join Squint, you're not just building another app – you're creating technology that improves daily work life for people who manufacture the products our world depends on. It's meaningful work with visible impact.About the JobAs a Senior Sales Engineer, you will serve as a strategic partner to our most important prospects and customers, helping them understand, realize, and expand the value that Squint delivers. You will lead complex technical discussions, uncover deep manufacturing and operational challenges, and architect tailored solutions. You will showcase Squint’s capabilities through live demos, on-site engagements, and Proofs of Value designed to validate measurable business impact in real-world conditions. Internally, you will influence product direction, refine go-to-market playbooks, and act as the voice of the customer – ensuring our solutions address critical challenges and deliver exceptional results.Key ResponsibilitiesPartner with Account Executives on high-value opportunities to define solution strategy and deal approach.Lead in-depth discovery to map business processes, identify strategic pain points, and quantify potential impact.Design, scope, and deliver compelling Proofs of Value anchored to core business outcomes and ROI metrics.Address complex technical objections, ensuring seamless integrations with existing systems and manufacturing workflows.Build strong relationships with senior stakeholders, from plant managers to C-suite executives, to drive consensus and decision-making.Serve as a trusted advisor and subject matter expert in AI- and AR-driven manufacturing solutions.Prioritize our customers’ success above all else.QualificationsExperience: 6+ years in a Sales Engineering or equivalent role, ideally in manufacturing, AI, AR, or industrial solutions, with a proven track record in enterprise-level deals.Technical Proficiency: Proven experience designing, scoping, and delivering ERP/MES-integrated AI- and AR-driven manufacturing solutions and Proof of Value implementations.Analytical Skills: Deep understanding and experience assessing customer value chains, analyzing data, and tailoring solutions to address mission-critical challenges.Communication Skills: Skilled in creating executive-ready technical proposals, presentations, and ROI analyses for high-value contracts.Adaptability: Thrives in a fast-paced, dynamic environment, inventing solutions on-the-fly and navigating ambiguity.Travel: Willingness to travel frequently to customer sites.BenefitsCompetitive Salary and EquityComprehensive Medical, Vision, and Dental careFlexible PTO PolicyWellness BenefitMaven Family Planning BenefitsMental Health Services401(k) Retirement PlanPre-Tax Commuter Benefit for Parking & Public TransitCompany-wide RetreatsA Final NoteWe are committed to creating a diverse and inclusive workplace. Squint is an equal opportunity employer, welcoming applicants from all backgrounds without regard to race, gender, age, or any other protected characteristic. We encourage you to apply even if you're not quite sure you fit all the requirements for the role!Ready to redefine the future? Join us at Squint and be a part of something revolutionary.

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< REMOTE - United States >  Job Description: We are seeking a dynamic and experienced Senior Counsel, Product and Privacy to join our legal team. You will serve as a primary legal contact for the product, research, and engineering organizations, and you will play a critical role in ensuring the legal compliance and risk management of our products and services. The role will require the candidate to take a proactive role in product counseling and advancing our privacy compliance program.    You will have the opportunity to provide legal counsel in a dynamic industry with few legal precedents, brand new legal questions and concerns, and quickly evolving business models. Curiosity, the willingness to learn about new technologies, and the ability to translate an engineer’s technical explanations into actionable legal mitigation measures and contractual provisions is a must.  This is a remote role. Although we are a global company, we are currently seeking candidates in the United States.      Responsibilities: Serve as lead product and privacy counsel to multiple product teams Gain an in-depth understanding of Stability’s products and development processes, including their strengths, limitations, and vulnerabilities from a legal, security, and ethical standpoint Provide expert legal advice and guidance to product, design, and engineering teams to ensure Stability’s products and development processes comply with all laws, industry standards, and its own ethical guidelines  Work with product managers, engineering, release management, and security teams to continually develop a set of policies, processes, and documentation governing all data and product releases to ensure thorough legal review Ensure compliance with applicable global privacy and data security laws Work closely with the infosec team to manage incident response and attend to proper data security procedures Track and provide guidance on global laws pertaining to AI products and services, and collaborate with the product team in implementing ethical and safety initiatives for our AI products/services Provide guidance on copyright issues, including as they apply to the development and licensing of datasets used to train our AI models, the output of our generative AI products and services, and the hosting of content (such as the DMCA and Article 17) Ensure compliance with global trade regulations, including US export control laws and the Trade Agreements Act Provide frontline assistance to the commercial team in understanding Stability’s technology, licensing frameworks, and IP strategy on an ongoing basis   Conduct legal research and stay up-to-date with industry trends, regulatory changes, legal precedents, and emerging technologies that may impact Stability AI's products Qualifications: Juris Doctor (JD) degree from an accredited law school and active bar membership in good standing 10+ years of experience as an attorney, with a focus on technology product counseling, privacy, and intellectual property Previous in-house experience as a product counselor at a technology company Deep understanding of data privacy law (e.g., GDPR, CCPA), emerging AI law (e.g., EU AU Act), and consumer protection law Experience building and maintaining data privacy compliance programs Passionate about obtaining a deep understanding of the inner-workings of AI technology Ability to address problems creatively with an open mind  Practical approach to commercially reasonable risk mitigation in the face of both legal and business uncertainty Excellent analytical, communication, and problem-solving skills, with the ability to distill complex legal concepts into clear and actionable guidance for non-legal stakeholders Ability to work independently and collaboratively in a fast-paced, dynamic environment Experience working with cross-functional teams and effectively managing multiple priorities Proactive mindset to identify and address legal risks High level of integrity, professionalism, and attention to detail Flexibility to adapt to evolving priorities  Ability to foster relationships and collaborate with internal clients Sense of humor and inquisitive attitude focused on problem solving and consensus-building Preferred Qualifications: An understanding of data use in the context of generative AI model training and related risks/opportunities Experience with open source software licensing, data licensing, or source-available licensing, as well as open source development and open source communities Privacy and data security certifications (CIPP/US, CIPP/E) Experience developing and revising terms of service and privacy policy updates for global technology companies Deep curiosity of emerging technologies, including AI and data analytics, as well as knowledge of the emerging regulatory developments affecting them 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.

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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

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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.

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About the role Descript’s vision is to put video in every communicator’s toolkit. Back in the day you needed like six monitors and a bachelor’s degree to edit video. Descript lets you do it by editing docs & slides, and increasingly by just asking AI. In the future, maybe you won’t even need to ask! But building a new way to record and edit videos that look & sound good comes with a series of unique design, technology, and business challenges. In other words, we need really good product managers. As a Product Manager on the Editor team, you’ll be shaping the future of what creative collaboration looks like with AI, from recording to final polish. You’ll work alongside a small, flat, highly collaborative team of experienced PMs, engineers, designers, AI researchers, and marketers. This is an opportunity to get hands-on experience with cutting-edge AI technology in a product users love and grow fast in your PM craft. What you’ll do Develop a deep understanding of our customers, their creative goals, and the evolving video/AI landscape — and use those insights to guide the roadmap. Own and shape the recording experience so that anyone can look and sound great without special gear or expertise. Bring Descript’s taste for great video into the recording and editing experience, shaping interactions and defaults so creators naturally produce work that feels polished and professional. Partner with AI research, engineering, design, and other teams to translate cutting-edge technology into reliable, delightful experiences. Own and drive the feature roadmap for your team from idea generation through to execution and analysis. You’ll bring clarity and focus to your team, and help them deliver value to users reliably and effectively. Who you are You have seen (and shipped) some things: You have 3 or more years of product management experience, ideally with a product of technical complexity that incorporates generative AI models. You start with the customer: Plenty of “AI products” start with the technology and they all suck. You care deeply about understanding customers, and have experience in doing customer discovery and defining features that solve real problems. You are a fog sculptor: There are aspects to our product and its design that do not have real competitors yet. The product intuition and design conventions have not been decided. We need product managers who are attracted to ambiguous problems, know how to ask smart questions, and translate ideas into action. You care about craft: Our product is not a hype machine that runs on empty promises and vaporware. We think our product will be successful because people love to use it. That means sweating the details. But without the sweat, because you aren’t stressed out. You are funny, creative, maybe kind of weird: Ok, this isn’t a hard requirement but Descript is kind of a quirky place and the people who love it tend to like that about working here. So, just want to drop a hint early on. Also, the sense of humor is important because even though we take our work seriously it’s still just, like, video creation and editing. We aren’t flying rockets into space so let’s all have a good time. The base salary range for this role is $175,000 - $265,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, and location, and may vary from the amount above.About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 — with a proven CEO and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital).  Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're looking to hire people who are local and able to join us at the office when needed. We're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. But we do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.  Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive. 

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The Anyscale Technical Program Management (TPM) team is expected to play a critical role executing high impact programs while continuously improving processes to sustainably grow and increase the effectiveness of the Tech organization spanning Design, Engineering and Product teams.As a Technical Program Manager focused on Anyscale’s core product solution, you’ll help lead complex application development in service of enhancing our product platform. In this role, you'll support and help scale the technical solutions that make Anyscale’s products and services possible. As part of the overall development life cycle you’ll plan requirements, identify risks, manage schedules, and communicate clearly with project stakeholders on complex projects with significant bottom line impact.Your Project management contributions will span prioritization, planning of projects and features, stakeholder management, tracking of external commitments while contributing to the organization's technical culture by highlighting and espousing best practices. You’ll learn and grow alongside talented teammates who share your commitment to excellence and appetite for innovative problem-solving. This is a rare opportunity to join in the leadership of a team that will be responsible for building a successful commercial ML/AI oriented solution from the ground up!As part of this role, you will:Help us build and ship our Commercial / OSS productWill work closely with the software development and product teams to deliver high quality, scalable products used by customers around the worldCollaborate with the product teams and align all the stakeholders to assemble project teams, assign responsibilities, identify appropriate resources needed, and develop schedules to ensure timely completion of projects by meeting project milestonesAssess risks, anticipate bottlenecks, provide escalation management, make tradeoffs, balance the business needs versus technical constraints and encourage risk taking behavior to maximize business benefitWork on a diverse technology stack spanning multiple leading commercial cloud providers, big-data solutions and ML algorithmsWe'd love to hear from you if you have:Bachelor’s degree in Computer Science or equivalent technical work experience5+ years of technical work experience 3+ years of experience with Machine Learning projects & platforms3+ years of experience with leading commercial cloud provider platformsSoftware development experience (ability to build and assess systems/platforms)Strong communication skills and can effectively share your work with a broader audience through writing and speakingAbility to handle multiple competing priorities in a fast-paced environmentA deep understanding of software development in a team, and a track record of shipping software on timeAn obsession with contributing to the development of high-performance engineering organizations, are detail driven with excellent problem solving abilities

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About the Role As a Lead Technical Program Manager at Thoughtful AI, you’ll play a key role in shaping the delivery of our most complex and high-value AI Agent deployments across the healthcare ecosystem. This is a hands-on leadership role where you’ll manage a team of 5–7 Technical Program Managers, guide their work, and ensure their outputs meet the highest standards of quality and impact. Reporting to the Director of Technical Program Management, you will balance three core responsibilities: People management – building and developing a high-performing team of TPMs. Project mentorship – reviewing TPM deliverables, providing feedback, and coaching team members before their work is implemented. Strategic initiatives – contributing to cross-functional efforts that improve how Thoughtful delivers at scale. On customer projects, you’ll partner closely with TPMs during the discovery phase—leading process overviews that set the stage for successful implementations. Your TPMs will then own the design, build, and deployment of AI Agents, with your ongoing guidance and mentorship ensuring excellence throughout. This is an ideal role for a proven program management leader who thrives on developing talent, improving delivery practices, and helping enterprise customers achieve transformative outcomes. Learn more about our Warrior culture. Your Mission Manage and mentor a team of 5–7 Technical Program Managers, fostering growth, accountability, and delivery excellence. Own customer-facing deliveries directly, serving as the assigned TPM on select accounts while modeling delivery best practices. Review TPM deliverables (product requirements documents, delivery roadmaps, etc.) and provide actionable feedback to raise quality before customer-facing execution. Partner with TPMs during discovery phases to lead process overviews and ensure accurate foundations for solution design. Contribute to strategic initiatives that improve delivery frameworks, governance, and cross-functional collaboration. Act as a trusted partner to Sales, Customer Success, Product, and Engineering to ensure delivery capabilities align with customer expectations. Champion best practices, risk management approaches, and scalable frameworks that enable consistent, enterprise-grade deployments. Represent program delivery in leadership conversations and customer forums, bringing forward insights and solutions. What Success Looks Like A cohesive TPM team with strong ownership, confidence, and consistent delivery quality. Scalable, repeatable practices adopted across projects, driving enterprise-grade deployments. TPMs consistently producing high-quality outputs that accelerate delivery and reduce risk. Cross-functional leaders relying on TPMs (and you as their lead) as trusted partners in execution. Enterprise customers achieving transformative outcomes with confidence in Thoughtful’s delivery approach. What You Bring 8-12+ years of experience in program or technical project management, including leadership responsibility for developing and managing teams. Proven success in enterprise technology implementations, ideally within SaaS, consulting, automation, or healthcare technology. Strong background in healthcare delivery; experience in Revenue Cycle Management is a plus Experience mentoring or reviewing project/program management outputs to ensure quality before execution. Strategic perspective combined with executional discipline - you can coach the details while influencing the bigger picture. Ability to influence senior stakeholders and customers through clear, data-driven communication. Comfort navigating fast-paced, ambiguous environments and building structure where it doesn’t yet exist. Bachelor’s degree in a technical, operational, or business discipline (MBA or equivalent experience a plus).   Thoughtful AI Benefits Market-leading base salary and bonus Employee stock Medical, dental, and vision insurance for you and your dependents We expect you to unwind and disconnect for three weeks per year while still getting paid California Salary Range $200,000—$250,000 USD

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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Perplexity is looking for an Applied ML Engineer to design, build, and iterate on cutting-edge AI models powering our core experience. As an expert in machine learning and artificial intelligence, you will develop scalable and impactful solutions for user personalization, query understanding, and content discovery - fulfilling the curiosity of millions of users across the globe. Key Responsibilities Apply state-of-the-art ML and LLM techniques to solve problems spanning: Personalization (LLM memory, context summarization, retrieval and ranking); Query Understanding (intent modeling, rewriting, agentic decomposition); Content Discovery (feed ranking and surfacing) Rigorously evaluate LLM/ML models with both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact. Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement. Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements. Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle. Preferred Qualifications 5+ years experience building and shipping robust ML/AI models for large-scale, user-facing or data-driven products. Deep expertise in deep learning (PyTorch, TensorFlow, JAX), LLMs, information retrieval, content summarization, recommendation systems, NLP, and/or ranking. Strong software engineering skills (Python, production-quality codebases, collaborative development). In-depth experience with the full ML lifecycle: data analysis, feature engineering, iterative model development, rigorous evaluation, and ongoing monitoring/improvement. Proven collaborator and communicator; excels in high-velocity, cross-functional teams. Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI. BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience). Bonus Points For Experience with LLM prompt engineering, Retrieval-augmented generation (RAG) based systems. Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc). Open-source or published contributions in ML, NLP, IR, or relevant research fields.  

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About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.  Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. Who We're Looking For As a Senior Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used. You’ve shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools and make pragmatic product decisions that set Delivery up for success. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products. With at least 3 years industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.   This Role  As a Senior MLE, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes. You'll: Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time‑series forecasting, anomaly detection, optimization & control) to customer production environments. Communicate results and trade‑offs to senior stakeholders; steer roadmaps and influence product direction with evidence. Lead scoping and architecture design for data/ML systems; define success metrics, delivery plans and quality bars. Excel at building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others. Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision‑making under pressure. Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site. Own the scoping of new projects and work-streams with existing customers and taking part in bringing new customers to PhysicsX. As a senior member of the team, you’ll significantly influence our technical direction and will be involved in shaping future solutions and products, while developing your skills as a technical leader. Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey!      What we offer Equity options – share in our success and growth. 5% 401(k) match – invest in your future. Flexible working – balance your work and life in a way that works for you. Hybrid setup – enjoy our Manhattan office while keeping remote flexibility. Enhanced parental leave – support for life’s biggest milestones. Private healthcare – comprehensive coverage for you and your family. Personal development – access learning and training to help you grow. Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.   Salary range: $120,000 - 240,000 depending on experience  Seniority will be assessed throughout our interview process   We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.    We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.   

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers 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

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Location: San Francisco, Bay Area Team: Customer Success | Reports to Head of Customer OperationsAbout TomaAt Toma, we’re building something unorthodox — a fully AI-driven voice platform reshaping how 18,000 car dealerships operate. Our proprietary voice AI handles inbound calls, sets appointments, and unlocks agentic workflows that reduce frontline workload.We’re a 20-person team (ex-Scale AI, Uber, pro Valorant player, robotics champ, motocross racer...) obsessed with getting dealers real results. We’ve landed dozens of rooftops via word-of-mouth, and we’re just getting started.The RoleWe’re looking for a Prompt Engineer & Support Specialist to help us scale fast — without breaking.You’ll be the first technical hire on the support side, working directly with our customers, Ops, Engineering, and Product to solve issues. When you're not solving issues, you'll be laying the foundation for a scalable support motion and building internal health monitoring systems. While this role is a ticket-based support function which includes heavy prompt engineering... We aim for this person to grow into a part forward deploy, part triage lead, part system builder. You’ll get deep in the weeds, own high-impact technical problems, and play a foundational role in how support functions at Toma as we scale.What You’ll Do Right Now Technical Debugging & TriageManage a support queue & build systems to improve support metrics. Extensive prompt engineering to solve real world business problemsInvestigate LLM-related issues, agent behavior, voice system bugs, and integration failuresReproduce edge cases and partner with Engineering to drive root-cause fixesTriage and document inbound issues for the product and AI teamsWhat You'll Grow Into Build Support ProcessesBe the connective tissue between Engineering, Ops, and ProductOwn and improve the way support is delivered and scaled: ticket systems, SOPs, playbooksBuild an internal knowledge base for common issues and config workflows Build Health Monitoring & ToolingDesign and implement health monitoring for AI behavior, call routing, scheduler integrations, and moreCreate dashboards, logs, and alerting systems to reduce support lagWrite light internal scripts and tools to automate repetitive ops or support tasksYou Might Be a Fit If You...Have 2–5 years in a technical support, infra, dev ops, or forward deploy role, ideally at a startup with extensive customer facing experience. Love solving messy technical problems in live customer environmentsCan read logs, reproduce bugs, and work directly with engineers on triageHave experience with AI systems (LLMs, agents, vector databases) or are excited to learn fastCan write basic scripts (Python, JS, Bash, SQL, etc.) to unblock yourself or automate tasksThrive in ambiguity and want to build support systems from scratch — not inherit themNice to HaveExperience with tools like Eleven Labs, Metabase, DataDog, or voice AI platformsBackground in automotive, SaaS, or customer-facing AI productsStartup experience where you’ve been “the one who gets called when it breaks”Why This Role MattersWe’re growing fast, and every new customer means more complexity. The systems you build — and the fires you put out — will directly shape our ability to scale, retain, and grow revenue across hundreds of rooftops. You won’t just answer tickets. You’ll own the support systems that reduce customer effort & pain.What Success Looks LikeYou become the go-to point of contact for incoming support tickets You reduce our average support resolution time through better tools, monitoring, and triageYou help launch a proactive support function — not just reactive firefightingYou elevate how Toma learns from customer pain, product bugs, and systemic issuesCompensation & PerksCompetitive salary and early-stage equityHealth, dental, visionDaily food stipend Health & wellness stipend Educational stipendHigh-impact seat on a low-ego, high-output team

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 500+ customers in 50+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewAs a Customer Success Manager you’ll play a critical role in guiding our clients through their journey with Harvey, and help define the future of work at both law firms and in-house teams. This position is pivotal in ensuring our clients not only adopt but also derive maximum value from our technology. You'll act as a trusted advisor, deeply integrating Harvey into their business processes and workflows. This individual will also have a chance to design and deploy scalable 1:many solutions that will impact how we serve our broad mid-market customer base in a highly efficient manner at scale.What You'll DoStrategic Implementation: Lead the integration of Harvey into client workflows, ensuring seamless adoption and optimal use of our AI solutions.Training & Enablement: Evangelize the power of LLMs as you meet with and enable end users to adopt Harvey on a daily-basis as it becomes a “must have” product.Client Relationship Management: Serve as the primary contact for 40+ mid-market clients with a prescriptive and consultative approach and delivering a superior customer experience.Process Creation: Drive scalability in the way we operate through documentation, designing playbooks, self-help materials, email cadences, and automation to ensure we drive efficiency in our long term mid-market strategy.Success Metrics Management: Utilize adoption rates, benchmarks, and other key metrics to drive strategies ensuring client satisfaction and high ROI.Advocacy and Engagement: Encourage user and stakeholder engagement, transforming them into Harvey advocates within their organizations.Customer Health Monitoring: Use analytics and feedback to maintain customer satisfaction, ensuring readiness for renewal and expansion opportunities.Feedback Loop: Relay client insights back to our internal teams, aiding in the continuous improvement of our product and services.What You HaveExperienced professionals from legal firms or SaaS organizations, with direct experience managing a high volume of client cases and/or customers.Individuals with excellent communication and strategic planning skills, capable of influencing stakeholders at various levels.Results driven candidates who are able to ruthlessly prioritize competing tasks and demanding customers seamlessly.Team players described as empathetic, committed, structured, motivated, and collaborative with a team-first mentality.Experience with Salesforce and Catalyst, are preferred, but not required.What We OfferA chance to be at the forefront of AI technology and innovation, directly impacting how our clients' businesses operate and thrive.An opportunity to contribute to the growth and direction of our Customer Success program, building out best-in-class playbooks and processes.A collaborative work environment that promotes growth, learning, and development.Compensation Range$125,000 - $145,000 OTE Please find our CA applicant privacy notice here.#LI-AB1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? This AI Business Consultant position within the NICE – AI Center of Excellence Organization offers an exciting opportunity to focus on delivery excellence and drive accelerated ROI from our portfolio of AI solutions. The ideal candidate will bring a strong mix of solution consulting and operations experience, positioning them to lead customers through digital transformations. As a seasoned consultant in a technology company like NICE, you must possess a unique blend of business acumen, subject matter expertise, and technical savvy to deliver significant business impact via our software solutions. In other words, someone who can gain credibility via both their words and hands-on-keys actions. This role involves working with multiple broad groups within NICE and requires proven ability to influence cross-functional teams, both with and without formal authority, within a matrixed organization. How will you make an impact?    Lead consulting projects to drive process improvement and ensure business readiness for optimal adoption and utilization of NICE self-service and AI solutions. Consult with clients to understand their current business and technical processes, self-service needs, and AI implementation requirements. Provide best practice recommendations to design and implement self-service and AI software solutions, ensuring customers fully optimize their business processes and maximize potential. Collaborate with product development teams to provide feedback and suggest improvements based on client experience. Own and manage senior stakeholder relationships, ensuring active participation and sponsorship throughout the engagement. Build long-term relationships with customers, becoming a trusted advisor, driving adoption and consumption growth. Organize and guide application and data consultants through program leadership, acting as the adoption and consulting engagement quarterback. Manage consulting and adoption programs with continuous alignment with the entire product implementation program. Establish and monitor progress toward business success criteria for the overall delivery program and in turn, each product/business unit. Map business cases into action items and solution designs. Align launch strategies with use cases and value priorities. Secure buy-in from different stakeholders (internal and external). Provide input into technical project plans, ensuring business requirements and best practices are fully captured. Develop and deliver presentations to demonstrate the value and capabilities of our software solutions. Analyze client data to identify opportunities for process improvement, increased software adoption, and AI-driven insights. Have you got what it takes? Minimum of 5 years of consulting or customer successes experience in self-service or AI software domains. Degree in Business, Information Technology, or a related field preferred. Experience with contact center enterprise software, with deep domain experience in digital/unassisted self-service channels (e.g., Google Dialog Flow). Knowledge management expertise. Experience with generative AI in the customer service domain is a plus. IVR/Routing/ACD experience preferred. You will have an advantage if you also have: Experience in business process improvement and customer success. Proven ability to independently handle senior executive audiences and stakeholders, provide thought leadership, and gain strategic partnerships. Led project teams and demonstrated operational performance improvements with significant benefits. Multi-industry experience preferred. Excellent verbal, written communication, and presentation skills are a must. About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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About the TeamThe Support Automation team at OpenAI scales the organization by applying cutting-edge AI models to real-world challenges, automating and enhancing work across the organization. From customer operations to engineering, we develop an ecosystem of automation products that empower our colleagues and drive impact. We're passionate about crafting products that serve those around us, blending rapid prototyping with a focus on long-term quality and reliability. By creating reusable solutions, we create patterns that can be applied across diverse domains within OpenAI.TLDR: this team leverages OpenAI technology to improve OpenAI, and you’ll have the opportunity to leverage the full extent of our tech (both public and pre-released) to accomplish this mission. About the RoleWe’re looking for a Backend Software Engineer with experience working in ML/LLM-heavy domains to help to design and build an evals infrastructure that measures the quality of OpenAI’s support automation. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale. In this role, you will:Design eval pipelines that are reliable, reproducible, and extendableBuild the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automationDesign, build, and maintain backend services and APIs to support intelligent automation and knowledge systemsIntegrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.Collaborate closely with data, research, and engineering teams to integrate OpenAI models into high-leverage workflowsOwn the full development lifecycle of new backend systems and internal platform capabilitiesBuild with scale and maintainability in mind, while rapidly iterating on new ideas You might be a great fit if you have:4+ years of backend engineering experience at product-driven companies (excluding internships)Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and PostgresExperience designing and scaling distributed systems, APIs, or data processing pipelinesHave experience building AI agents or applications, including designing evals and improving performance through prompting or scaffoldingAre familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context.Experience creating production evals and/or measuring performance of ML/LLM models at scaleA pragmatic mindset. You’re comfortable shipping iteratively while building toward a long-term visionAbout 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.