AI Software Engineer Jobs

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WHO WE ARE: MagicSchool is the premier generative AI platform for teachers. We're just over 2 years old, and more than 6 million teachers from all over the world have joined our platform. Join a top team at a fast growing company that is working towards real social impact. Make an account and try us out at our website and connect with our passionate community on our Wall of Love.Professional Learning & Community Engagement Specialist (Southern FL)Role Description: As a Professional Learning & Community Engagement Specialist, you will split your time between two high-impact areas:Designing & delivering exceptional professional learning experiences for K–12 educators,Serving as a regional face of our Pioneers and educator community - driving in-person engagement, social connection, and educator joy.This is a field-forward role for an experienced educator, PD leader, and community builder who’s energized by meeting people where they are—literally. You’ll work in close collaboration with the CX, Sales, and Marketing teams, and report into the Professional Learning function, with day-to-day prioritization supported by our Pioneer & Community Lead.This role is based out of Southern FL.Responsibilities:In this role, you will be responsible for driving to the following outcomes:Professional Learning Development & Delivery (50%)Facilitate engaging onsite and virtual PD sessions tailored to district needs.Develop and refine training content, including live and asynchronous materials.Community Field Engagement & Pioneer Program Activation (30%)Execute surprise-and-delight field moments and represent MagicSchool at events.Support educator engagement, storytelling, and Pioneer program activation regionally.Consultative Solutioning & Regional Strategy (10%)Collaborate on pilots and adoption plans with Sales, CX, and Solution Architects.Capture local insights to shape product, PD, and campaign strategies.Cross-Functional Collaboration (10%)Coordinate with cross-functional teams to align regional and national efforts.Track field feedback to support voice-of-customer and strategic initiatives.Experience & Qualifications:To be successful in this role, you’ll bring the following experience and qualifications:Required:Based in Southern FL.5+ years experience in education, instructional coaching, or edtech PD/community roles.Dynamic facilitation and public speaking skills—comfortable with both educators and district leaders.Demonstrated passion for educator engagement, storytelling, and grassroots brand-building.Experience supporting edtech tools and navigating school or district implementation processes.Excited to travel regionally up to 75% during peak seasons and 50% year-round. Preferred:Prior classroom teaching experience.Experience with educator ambassador, community, or grassroots marketing programs.Familiarity with the AI-in-education space and local curriculum standards.Experience collaborating cross-functionally with Sales, CX, or Marketing teams.Competency with digital collaboration tools (Google Workspace, Zoom, etc.).Application Notice: Notice: Priority Deadline and Review Start DatePlease note that applications for this position will be accepted until 11/16/25 - applications received after this date will be reviewed on an intermittent basis. While we encourage early submissions, all applications received by the priority deadline will receive equal consideration. Thank you for your interest, and we look forward to reviewing your application.Why Join Us?Work on cutting-edge AI technology that directly impacts educators and students.Join a mission-driven team passionate about making education more efficient and equitable.Flexibility of working from home, while fostering a unique culture built on relationships, trust, communication, and collaboration with our team - no matter where they live.Unlimited time off to empower our employees to manage their work-life balance. We work hard for our teachers and users, and encourage our employees to rest and take the time they need.Choice of employer-paid health insurance plans so that you can take care of yourself and your family. Dental and vision are also offered at very low premiums.Every employee is offered generous stock options, vested over 4 years.Plus a 401k match & monthly wellness stipendOur Values:Educators are Magic:  Educators are the most important ingredient in the educational process - they are the magic, not the AI. Trust them, empower them, and put them at the center of leading change in service of students and families.Joy and Magic: Bring joy and magic into every learning experience - push the boundaries of what’s possible with AI.Community:  Foster community that supports one another during a time of rapid technological change. Listen to them and serve their needs.Innovation:  The education system is outdated and in need of innovation and change - AI is an opportunity to bring equity, access, and serve the individual needs of students better than we ever have before.Responsibility: Put responsibility and safety at the forefront of the technological change that AI is bringing to education.Diversity: Diversity of thought, perspectives, and backgrounds helps us serve the wide audience of educators and students around the world.Excellence:  Educators and students deserve the best - and we strive for the highest quality in everything we do.

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WHO WE ARE: MagicSchool is the premier generative AI platform for teachers. We're just over 2 years old, and more than 6 million teachers from all over the world have joined our platform. Join a top team at a fast growing company that is working towards real social impact. Make an account and try us out at our website and connect with our passionate community on our Wall of Love.Professional Learning & Community Engagement Specialist (North/Central FL)Role Description: As a Professional Learning & Community Engagement Specialist, you will split your time between two high-impact areas:Designing & delivering exceptional professional learning experiences for K–12 educators,Serving as a regional face of our Pioneers and educator community - driving in-person engagement, social connection, and educator joy.This is a field-forward role for an experienced educator, PD leader, and community builder who’s energized by meeting people where they are—literally. You’ll work in close collaboration with the CX, Sales, and Marketing teams, and report into the Professional Learning function, with day-to-day prioritization supported by our Pioneer & Community Lead.This role is based out of North or Central FL.Responsibilities:In this role, you will be responsible for driving to the following outcomes:Professional Learning Development & Delivery (50%)Facilitate engaging onsite and virtual PD sessions tailored to district needs.Develop and refine training content, including live and asynchronous materials.Community Field Engagement & Pioneer Program Activation (30%)Execute surprise-and-delight field moments and represent MagicSchool at events.Support educator engagement, storytelling, and Pioneer program activation regionally.Consultative Solutioning & Regional Strategy (10%)Collaborate on pilots and adoption plans with Sales, CX, and Solution Architects.Capture local insights to shape product, PD, and campaign strategies.Cross-Functional Collaboration (10%)Coordinate with cross-functional teams to align regional and national efforts.Track field feedback to support voice-of-customer and strategic initiatives.Experience & Qualifications:To be successful in this role, you’ll bring the following experience and qualifications:Required:Based in Northern/Central FL.5+ years experience in education, instructional coaching, or edtech PD/community roles.Dynamic facilitation and public speaking skills—comfortable with both educators and district leaders.Demonstrated passion for educator engagement, storytelling, and grassroots brand-building.Experience supporting edtech tools and navigating school or district implementation processes.Excited to travel regionally up to 75% during peak seasons and 50% year-round. Preferred:Prior classroom teaching experience.Experience with educator ambassador, community, or grassroots marketing programs.Familiarity with the AI-in-education space and local curriculum standards.Experience collaborating cross-functionally with Sales, CX, or Marketing teams.Competency with digital collaboration tools (Google Workspace, Zoom, etc.).Application Notice: Notice: Priority Deadline and Review Start DatePlease note that applications for this position will be accepted until 11/16/25 - applications received after this date will be reviewed on an intermittent basis. While we encourage early submissions, all applications received by the priority deadline will receive equal consideration. Thank you for your interest, and we look forward to reviewing your application.Why Join Us?Work on cutting-edge AI technology that directly impacts educators and students.Join a mission-driven team passionate about making education more efficient and equitable.Flexibility of working from home, while fostering a unique culture built on relationships, trust, communication, and collaboration with our team - no matter where they live.Unlimited time off to empower our employees to manage their work-life balance. We work hard for our teachers and users, and encourage our employees to rest and take the time they need.Choice of employer-paid health insurance plans so that you can take care of yourself and your family. Dental and vision are also offered at very low premiums.Every employee is offered generous stock options, vested over 4 years.Plus a 401k match & monthly wellness stipendOur Values:Educators are Magic:  Educators are the most important ingredient in the educational process - they are the magic, not the AI. Trust them, empower them, and put them at the center of leading change in service of students and families.Joy and Magic: Bring joy and magic into every learning experience - push the boundaries of what’s possible with AI.Community:  Foster community that supports one another during a time of rapid technological change. Listen to them and serve their needs.Innovation:  The education system is outdated and in need of innovation and change - AI is an opportunity to bring equity, access, and serve the individual needs of students better than we ever have before.Responsibility: Put responsibility and safety at the forefront of the technological change that AI is bringing to education.Diversity: Diversity of thought, perspectives, and backgrounds helps us serve the wide audience of educators and students around the world.Excellence:  Educators and students deserve the best - and we strive for the highest quality in everything we do.

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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 TEAM The Corp Tech Acquisition team scopes and manages the implementation of Anduril’s acquired companies. We help enable the new acquisitions to build, ship, and deploy products at scale with Anduril’s systems and processes. As we continue to acquire companies and expand our capabilities, we are seeking a highly skilled Acquisition Program Manager specializing in Mergers & Acquisitions (M&A). This role will lead and coordinate the acquisition process, work with leadership and cross-functional teams to ensure a smooth integration, and manage all aspects of program planning and execution. ABOUT THE JOB   Oversee the acquisition program lifecycle from due diligence, integration, and adoption to completion across multiple acquisitions Work closely with cross-functional stakeholders (IT, Legal, HR, Supply Chain, Manufacturing, Mission Operations, Finance, Product, Deployments) to root cause problems and scope key requirements, milestones, and dependencies for acquisition implementation success Own building the program management foundation for the acquisition team Own defining, managing, and improving program management processes for all acquisition implementations Help implement risk management strategies, identifying potential issues and developing contingency plans Manage the program timeline across all related acquisitions, ensuring milestones are met and programs stay on track Define program scope, goals, and deliverables in collaboration with stakeholders and senior management Facilitate communication and collaboration across cross-functional teams and departments Provide regular updates and/or risks to the appropriate management channels and escalate issues, as necessary, according to each acquisitions integration plan Analyze each program status and, when necessary, revise the scope, schedule, or resources to ensure that program requirements can be met Establish and maintain relationships with relevant stakeholders, providing day-to-day contact on program status and changes REQUIRED QUALIFICATIONS   50%+ travel required insanely high execution bar, and will see all programs through from conception to tactical completion to move Anduril forward 5+ years of program management experience, preferably with managing complex systems and operations implementations 5+ years of experience with managing executive communication, board of director goals or driving cross company initiatives Excellent written and verbal communication skills and strong presentation skills, able to clearly articulate needs to leadership team and a wide variety of cross-functional stakeholders Collaborate across teams, strategizing how to bridge different parts of the organization to achieve cross-functional outcomes Ability to observe and anticipate potential risks across programs, milestones, timelines, etc. You are incredibly organized, detail-oriented, and and excel in strategic planning You have both high ownership and low ego, approaching everything with strong outcome orientation and high humility You’re discerning and an incredibly fast learner U.S. Persons status is required as this position needs to access export-controlled data    US Salary Range$146,000—$194,000 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:  Healthcare Benefits  US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.  UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.  IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.  Additional Benefits  Income Protection: Anduril covers life and disability insurance for all employees.  Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.  Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.  Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.  Professional Development: Annual reimbursement for professional development  Commuter Benefits: Company-funded commuter benefits based on your region.  Relocation Assistance: Available depending on role eligibility.  Retirement Savings Plan  US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.  UK & IE Roles: Pension plan with employer match.  AUS Roles: Superannuation plan.  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.  To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. 

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ABOUT BASETENBaseten powers inference for the world's most dynamic AI companies, like OpenEvidence, Clay, Mirage, Gamma, Sourcegraph, Writer, Abridge, Bland, and Zed. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. With our recent $150M Series D funding, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction, we’re scaling our team to meet accelerating customer demand.THE ROLEAs a Core Product Manager at Baseten, you’ll shape the core developer experience that powers how users build, deploy, and manage AI applications on our platform. You’ll drive the roadmap for user-facing APIs, SDKs, UI workflows, and integration surfaces, turning complex ML infrastructure into a seamless, intuitive product. Your work will directly impact how teams interact with Baseten day-to-day, ensuring that our platform is both powerful and a joy to use.EXAMPLE INITIATIVESChains for multi-component workflowsAsynchronous inferenceModel APIs for frontier modelsModel training built for production inferenceRESPONSIBILITIESOwn the roadmap for Baseten’s core product surface, including APIs, UI, and developer workflowsPartner with design and engineering to deliver elegant, intuitive developer experiencesCollaborate with customers to deeply understand pain points and define solutions that simplify AI deploymentDrive new product launches and improve onboarding, observability, and management experiencesAlign product initiatives with company strategy and ensure measurable product adoption and retentionREQUIREMENTS4+ years of Product Management experience in developer tools, SaaS, or ML platformsEngineering background (e.g., degree in Computer Science, Electrical Engineering, or related field; or equivalent hands-on experience as a software engineer)Deep empathy for developers and an ability to translate technical complexity into simple, usable productsExperience driving cross-functional alignment across design, engineering, and GTM teamsProven ability to define product success metrics and iterate based on data and feedbackNICE TO HAVEFamiliarity with AI/ML workflows and inference productsExperience building products for technical users (e.g., APIs, SDKs, dashboards)Background in developer experience or product-led growthBENEFITSCompetitive compensation, including meaningful equity.100% coverage of medical, dental, and vision insurance for employee and dependentsGenerous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)Paid parental leaveCompany-facilitated 401(k)Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our Ashburn and Sterling, VA Data Centers 5 days per week.The Operations team plays a critical role in ensuring the seamless end-to-end execution of our Al-laaS infrastructure and hardware. This team is responsible for sourcing all necessary infrastructure and components, overseeing day-to-day data center operations to maintain optimal performance and uptime, and driving cross company coordination through product management organization to align operational capabilities with strategic goals. By managing the full lifecycle from procurement to deployment and operational efficiency, the Operations team ensures that our Al-driven infrastructure is reliable, scalable, and aligned with business priorities.What You'll DoEnsure new server, storage and network infrastructure is property racked, labeled, cabled, and configured.Document data center layout and network topology in DCIM software.Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments.Participate in data center capacity and roadmap planning with sales and customer success teams to allocate floorspace.Assess current and future state data center requirements based on growth plans and technology trends.Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers.Work closely with the HW Support team to ensure data center infrastructure-related support tickets are resolved.Work with the RMA team to ensure faulty parts are returned and replacements are ordered.Create installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers.Serve as a subject-matter expert on data center deployments as part of sales engagement for large-scale deployments in our data centers and at customer sites.YouHave experience with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management.Have strong Linux administration experience.Have experience in setting up networking appliances (Ethernet and InfiniBand) across multiple data center locations.You are action-oriented and have a strong willingness to learn.You are willing to travel to bring up new data center locations.Nice to HaveExperience with troubleshooting the following network layers, technologies, and system protocols: TCP/IP, UDP/IP, BGP, OSPF, SNMP, SSL, HTTP, FTP, SSH, Syslog, DHCP, DNS, RDP, NETBIOS, IP routing, Ethernet, switched Ethernet, 802.11x, NFS, and VLANs.Experience with working in large-scale distributed data center environments.Experience working with auditors to meet all compliance requirements (ISO/SOC).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.

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About the teamThe Solutions Architecture team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.About the RoleWe are seeking a technically proficient, business-minded Solutions Architect to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Startups Solutions Architecture Lead.This role is based in our London, UK. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Partner closely with strategic startup customers as their technical thought partner to build novel applications on our API, helping them rapidly move from ideation to scale.Provide proactive guidance to maximize business impact and accelerate application development.Experiment and prototype alongside customers, demonstrating practical use cases.Contribute to open-source resources and scale the function by sharing knowledge, codifying best practices, and publishing useful resources.Synthesize and deliver valuable feedback to the Product and Research teams.Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.You’ll thrive in this role if you:Have 5+ years of experience as a software engineer, ML engineer or equivalent, ideally in a startup environment; experience as a founder or founding engineer is highly valued.Have passion for startups and a belief in their potential to become future large enterprises.Are proficient in Python, JavaScript, and a strong grasp of AI/LLM best practices.Built and/or delivered prototypes on top of our API platform.Can proactively identify opportunities for maximizing our customers’ business value through leveraging the OpenAI API.Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Plain is redefining customer support for the next generation of B2B companies. We’re building the fastest, most powerful platform to help companies move beyond reactive support and build true customer relationships.Some of the world’s most forward-thinking companies - like Cursor, Raycast, and Granola - trust Plain to unify all customer interactions, enable faster team collaboration, and supercharge their workflows with AI.B2B customer support is undergoing a seismic shift. AI is transforming the way companies engage with customers, shifting support from a siloed function to a company-wide effort across Slack, Discord, and any other channel you talk to customers in. The old way - slow, manual, and disconnected - no longer works.What you’ll doWe’re in a rare spot. Plain is already powering support for high-growth companies with a lightning-fast, deeply scalable platform. AI has been part of our DNA from the start. Now we’re doubling down to define how it shapes every layer of modern customer support.This is where you come in.We're looking for a customer obsessed Senior Product Engineer to help take our AI ambitions to the next level. You’ll build the Infrastructure that helps us build AI features quickly, safely and with confidence. You’ll own problems end to end, and play a key role in building a category-defining product.In this role, you will:Own and ship AI features such as our agents, assistants, insights and more - from concept to production.Design and implement backend services for AI integrations and data pipeline.Build robust APIs and abstractions for internal AI usageDrive system scalability: caching, optimization, processing patterns, etcContribute and drive the evolution of the infrastructure for AI including architecture, evaluation and iteration pipelines.Solve complex AI challenges around AI accuracy, reliability, and quality – using rigorous quantitive approaches.Advocate for our work externally – writing, speaking, and engaging with the broader AI community.This is a great fit if you…Are an experienced backend engineer who’s shipped AI products in the OpenAI & Anthropic era – especially text and data-heavy AI applications.Have hands-on experience with LLM orchestration and LLM API optimization (costs, latency, etc)Are familiar with RAG architectures and technologiesHave AI observability experience. AI isn’t just about shipping features that sound great – it’s about knowing, conclusively, if they’re making things better.Have a clear perspective on what makes a great AI product. We want to apply AI with precision, nuance, and real impact – not as a gimmick.Are product minded and customer focused in how you build software.Measure your success by user impact, not just technical elegance.Are self-driven, impact-focused, and thrive in a fast-moving, high-ownership environment.Bonus: you have experience with agent frameworks and design.This won’t be the right role if you…Have primarily academic or research ML/AI experience. This role’s looking for someone with Applied AI experience.Think AI for support is just chatbots and deflection. B2B support is complex – we want AI through the platform, not just automating conversations.Struggle with ambiguity. We’re an early-stage startup. Things change quickly, and often, knowing what to work on is as important as the work itself.Prioritize working with the latest tech for its own sake. We choose tools that make us productive – not what’s trendy. (Postgres is great.)Are looking for a management role. This is a hands-on individual contributor position.Want the perks of a big company. We offer competitive compensation for our stage, but we’re a startup – this is a different kind of opportunity.

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Who we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Who you are Metropolis is seeking a transformative Accounting Manager to help lead our accounting function, focusing on corporate business operations and financial reporting. This role is crucial for modernizing accounting operations through process automation, scalable processes, and real-time analytics. You will participate in managing the general ledger and financial reporting, drive process improvement, and ensure compliance and participate in the annual audit. The successful candidate will utilize AI and Robotic Process Automation (RPA) to optimize workflows, automate tasks, and enhance efficiency. You will also help lead and develop a team of staff and senior accountants, fostering growth and operational excellence. What you'll do Complete month-end close activities accurately and according to department deadlines Help lead and mentor a team of staff and senior accountants, providing guidance, training, and performance feedback Identify opportunities to improve efficiency through automation and AI-driven tools in accounting workflows Collaborate with finance systems and data teams to implement automated reporting and reconciliation solutions Prepare and post journal entries; collect, analyze, and record data to general ledger system Record accruals, expense allocations, and month-end true-ups Review and reconcile balance sheet accounts monthly; assist with the monthly budgetary process for reporting and variance analysis Maintain financial historical records by filing accounting documents and related support Work closely with internal and external departments to ensure financial transactions are properly recorded and complete; answer accounting and financial questions by researching and interpreting data Participate in year-end audit to compile and prepare supporting schedules, work papers, and financial reports What we're looking for 7+ years of accounting experience Bachelor’s degree in accounting from an accredited university 2+ years of prior leadership experience within an accounting organization Ability to manage time for multiple tasks to meet established deadlines Excellent oral and written communication skills Ability to work with a low-ego, highly collaborative, cross-functional team Experience with accounting automation, AI-enabled analytics tools, or process optimization through technology (e.g., RPA, AI-based reconciliation, or workflow automation) Strong interest in leveraging AI and emerging technologies to enhance financial operations While not required, these are a plus: Experience in real estate CPA certification When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $115,000.00 USD to $140,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-AW1 #LI-OnsiteMetropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

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Who we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Who you are Metropolis is seeking a transformative Accounting Manager to help lead our accounting function, focusing on corporate business operations and financial reporting. This role is crucial for modernizing accounting operations through process automation, scalable processes, and real-time analytics. You will participate in managing the general ledger and financial reporting, drive process improvement, and ensure compliance and participate in the annual audit. The successful candidate will utilize AI and Robotic Process Automation (RPA) to optimize workflows, automate tasks, and enhance efficiency. You will also help lead and develop a team of staff and senior accountants, fostering growth and operational excellence. What you'll do Complete month-end close activities accurately and according to department deadlines Help lead and mentor a team of staff and senior accountants, providing guidance, training, and performance feedback Identify opportunities to improve efficiency through automation and AI-driven tools in accounting workflows Collaborate with finance systems and data teams to implement automated reporting and reconciliation solutions Prepare and post journal entries; collect, analyze, and record data to general ledger system Record accruals, expense allocations, and month-end true-ups Review and reconcile balance sheet accounts monthly; assist with the monthly budgetary process for reporting and variance analysis Maintain financial historical records by filing accounting documents and related support Work closely with internal and external departments to ensure financial transactions are properly recorded and complete; answer accounting and financial questions by researching and interpreting data Participate in year-end audit to compile and prepare supporting schedules, work papers, and financial reports What we're looking for 7+ years of accounting experience Bachelor’s degree in accounting from an accredited university 2+ years of prior leadership experience within an accounting organization Ability to manage time for multiple tasks to meet established deadlines Excellent oral and written communication skills Ability to work with a low-ego, highly collaborative, cross-functional team Experience with accounting automation, AI-enabled analytics tools, or process optimization through technology (e.g., RPA, AI-based reconciliation, or workflow automation) Strong interest in leveraging AI and emerging technologies to enhance financial operations While not required, these are a plus: Experience in real estate CPA certification When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $115,000.00 USD to $140,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-AW1 #LI-OnsiteMetropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

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Who we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Who you are Metropolis is seeking a transformative Accounting Manager to help lead our accounting function, focusing on corporate business operations and financial reporting. This role is crucial for modernizing accounting operations through process automation, scalable processes, and real-time analytics. You will participate in managing the general ledger and financial reporting, drive process improvement, and ensure compliance and participate in the annual audit. The successful candidate will utilize AI and Robotic Process Automation (RPA) to optimize workflows, automate tasks, and enhance efficiency. You will also help lead and develop a team of staff and senior accountants, fostering growth and operational excellence. What you'll do Complete month-end close activities accurately and according to department deadlines Help lead and mentor a team of staff and senior accountants, providing guidance, training, and performance feedback Identify opportunities to improve efficiency through automation and AI-driven tools in accounting workflows Collaborate with finance systems and data teams to implement automated reporting and reconciliation solutions Prepare and post journal entries; collect, analyze, and record data to general ledger system Record accruals, expense allocations, and month-end true-ups Review and reconcile balance sheet accounts monthly; assist with the monthly budgetary process for reporting and variance analysis Maintain financial historical records by filing accounting documents and related support Work closely with internal and external departments to ensure financial transactions are properly recorded and complete; answer accounting and financial questions by researching and interpreting data Participate in year-end audit to compile and prepare supporting schedules, work papers, and financial reports What we're looking for 7+ years of accounting experience Bachelor’s degree in accounting from an accredited university 2+ years of prior leadership experience within an accounting organization Ability to manage time for multiple tasks to meet established deadlines Excellent oral and written communication skills Ability to work with a low-ego, highly collaborative, cross-functional team Experience with accounting automation, AI-enabled analytics tools, or process optimization through technology (e.g., RPA, AI-based reconciliation, or workflow automation) Strong interest in leveraging AI and emerging technologies to enhance financial operations While not required, these are a plus: Experience in real estate CPA certification When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $115,000.00 USD to $140,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-AW1 #LI-OnsiteMetropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

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About Glean:   Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.   Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise. You will: Engage with executive sponsors and provide strategic reviews and consult customers on developing and executing on their AI roadmap Deeply comprehend Glean's suite of products, ensuring the ability to best help customers get the most out of the Glean platform Conduct use case discovery workshops and turn those use cases into tangible outcomes  Collaborate internally with Product and R&D to help shape Glean’s product roadmap based on the voice of our users  Proactively identify opportunities to expand Glean’s deployment and enhance customer engagement About you: 5+ years of professional experience  Hungry, curious, and consultative mindset Strong problem-solving skills with the ability to adapt to different users and scenarios Proven understanding and ability to write complex prompts and build AI-agents Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions Excellent communication skills to effectively interact with multiple stakeholder groups Product sense and ability to drive a product’s full potential capabilities Good to have: Customer presence: ability to work with any level from individual contributors to CEOs Prior experience in consultative roles, solutions engineering, support, or product management Location: This role is remote in the U.S. Compensation & Benefits: The standard OTE range for this position is $130,000-$200,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-Remote 

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Location 📍: Sydney, Australia (Hybrid - Travel to customer office)About Us 🚀At Relevance AI, we’re building the home of the AI workforce.Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts.With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and collaboration - all within one unified platform. Our technology already powers industry leaders such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales.We’re backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and raised our Series B in April 2025 to accelerate growth and push the boundaries of agentic automation.Headquartered in San Francisco and Sydney, we operate on a hybrid model and thrive on curiosity, collaboration, and execution - we move fast, think big, and win together.This year, we were proud to be named LinkedIn’s #1 Startup in Australia.If you want to define how the world works with AI, join us.The Role 🥳As a Forward Deployed Engineer, you will work hand-in-hand with our most strategic enterprise customers to drive adoption, expansion, and real-world impact with our AI platform.You will embed directly with client teams, sometimes spending weeks or months on-site, to understand their workflows, prototype solutions, and deploy high-value use cases that accelerate their transformation.Acting as the bridge between pre-sales and post-sales, you will collaborate with Account Executives to uncover new opportunities, deliver technical implementations, and ensure customers realize lasting value. This is a hands-on, consultative, and deeply technical role that combines engineering rigor with customer empathy and business acumen.Your impact💥Serve as the dedicated FDE for strategic enterprise accounts, embedding directly with customer teams to drive adoption and measurable outcomes.Partner with Account Executives, Solution Engineers, and other team members to identify, design, and implement new AI-driven use cases that expand customer value and product consumption.Own the end-to-end delivery lifecycle, from scoping and technical demonstrations to integration, deployment, and ongoing optimization.Build, iterate, and deploy data workflows and API-based solutions using Python, GenAI models, and our platform’s SDKs.Develop strong, multi-threaded relationships across large organizations, from end users to senior stakeholders, to influence adoption and uncover expansion opportunities.Communicate clearly and consistently with internal teams, providing visibility into account health, technical progress, and growth potential.What We’re Looking For 🧠4+ years of experience in forward-deployed, solutions, or customer engineering roles spanning both pre- and post-sales.Proven success growing and expanding strategic enterprise accounts, with experience multithreading across complex organizations.Strong technical foundations with an engineering mindset; comfortable working with APIs, Python, and data workflows.Experience with Generative AI and LLMs is highly valued.Excellent communication and storytelling skills, able to translate complex technology into business value.Willingness and ability to travel extensively, including extended on-site engagements of up to three months.Self-starter with a startup mindset; adaptable, resourceful, and eager to drive impact in a fast-growing company.Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterate extremely fast, and building memories.We’ve set high standards in our high-trust environment—we hire exceptional people to do great work. In return, we reward our people with competitive salaries, unparalleled professional growth and career-defining opportunities.Relevance AI is well-funded by leading investors, including Insights Partners, Peak XV, King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨🩺 Health Insurance Contribution – Relevance AI contributes to the cost of individual medical, dental, and vision insurance for employees.🚍 Commuter Benefits – Save on your commute with pre-tax deductions for transit and parking expenses🏖️ Unlimited Annual Leave – Flexible time off policy to rest, recharge, and take care of what matters most📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍿 Food, Drinks & Community – Stay energised with free breakfasts, healthy snacks, and a fully stocked fridge of drinks. Enjoy team lunches provided every Thursday and Friday, plus Uber Eats dinners and regular catered office meals throughout the week. As the home of the AI workforce, we also host vibrant community events featuring thought leaders, industry partners, and the wider tech community.🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. From hiking and chess to board game nights and social committee activities—there’s something for everyone!🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance ProgramWork Authorization: At this time, we are not able to sponsor visas or transfer immigration status for candidates applying to U.S.-based roles. You must be authorized to work in the United States without current or future sponsorship.

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Job Description: Enterprise AE EMEA Location:  UK (ideally commutable distance to London) Role: As an Enterprise Account Executive at Together, you will play a critical role in driving AI innovation by securing high-value enterprise accounts. You’ll focus on building and expanding relationships with some of the largest companies in the world, helping them leverage Together’s product suite to achieve transformative outcomes. You’ll work cross-functionally with product, engineering, and research teams to deliver the most impactful solutions, running proof-of-concepts (POCs) and identifying strategic opportunities to scale within accounts. The ideal candidate is a seasoned sales professional with a technical background, a proven track record of landing and expanding enterprise deals, and has a passion for AI, machine learning, or infrastructure products. Key Responsibilities: Close Large Enterprise Deals: Own the end-to-end sales process, from generating pipeline to closing high-value, strategic enterprise deals. Drive Expansion Opportunities: Identify and capitalize on opportunities for growth within existing accounts, becoming a trusted partner to key decision-makers. Manage POCs: Collaborate with internal technical teams and clients to design and execute successful proof-of-concepts that demonstrate the value of Together’s AI solutions. Pipeline Generation: Consistently generate and manage a robust pipeline, identifying new business opportunities and strategically positioning Together’s offerings. Collaborate with Product Teams: Bring the voice of the customer into product discussions, ensuring Together’s solutions align with enterprise needs and market trends. Community Engagement - Plan and host community events within target geographies to strengthen TAI’s brand presence and build awareness across the AI ecosystem Partner Engagement - Drive partner engagement initiatives to deepen relationships, expand collaborations, and amplify TAI’s presence within the AI ecosystem Requirements: 7-10 years of sales experience, with at least 1-3 years focused on strategic enterprise selling. Strong technical background, with experience in sales of AI/ML and/or infrastructure products strongly preferred. Proven success in closing large enterprise deals and expanding relationships within complex organizations. Ability to lead and manage POCs, working closely with technical teams to ensure success. Excellent communication skills, with the ability to engage effectively with both C-level executives and technical teams. Highly adaptable, proactive, and thrives in a fast-paced environment. Demonstrated ability to consistently meet or exceed revenue targets and pipeline generation goals. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy    

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco/San Jose/Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.What You'll DoHelp scale Lambda’s high performance multi-tenant cloud networkContribute to the reproducible automation of network configuration and deploymentsContribute to the implementation and operations of Software Defined NetworksHelp to deploy and manage Spine and Leaf networksEnsure high availability of our network through observability, failover, and redundancyEnsure clients have predictable networking performance through the use of network engineering and other applicable technologiesHelp with deploying and maintaining network monitoring and management toolsParticipate in on-callYouHave 5+ years of experience being SWE, SRE or Network Reliability EngineeringBeen part of the implementation of production-scale networking projectsExperience being on-call and incident response managementHave experience building and maintaining Software Defined Networks (SDN), experience with OpenStack, Neutron, OVNAre comfortable on the Linux command line, and have an understanding of the Linux networking stackHave experience with multi-data center networks and hybrid cloud networksHave Python programming experience and configuration management tools like AnsibleHave experience with CI/CD tools for deployment and GIT. Operated network environment with GitOps practices in place.Experience with application lifecycle and deployments on KubernetesNice To HaveOperated production-scale SDNs in a cloud context (e.g. helped implement or operate the infrastructure that powers an AWS VPC-like feature)Have Software development experience with C, GO, PythonExperience automating network configuration within public clouds, with tools like kubentetes, HELM, Terraform, AnsibleDeep understanding of the Linux networking stack and its interaction with network virtualization, SR-IOV and DPDKUnderstanding of the SDN ecosystem (e.g. OVS, Neutron, VMware NSX, Cisco ACI or Nexus Fabric Controller, Arista CVP)Have experience with Spine and Leaf (Clos) network topologyHave experience and understanding of BGP EVPN VXLAN networksExperience with building and maintaining multi-data center networks, SD-WAN, DWDMExperience with Next-Generation Firewalls (NGFW)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.

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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 As an AI Tutor - Economics, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from advanced economics domains, with a focus on macroeconomic forecasting, microeconomic incentives, and behavioral experiments. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in economics. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from economics fields that align with your expertise, focusing on areas like macroeconomics, microeconomics, and behavioral economics.  Regularly interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must possess a PhD in Economics or related field Proficiency in reading and writing, both in informal and professional English. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. Strong passion for and commitment to technological advancements and innovation in economics. Preferred Qualifications Possesses experience with at least one publication in a reputable economics journal or outlet. Teaching experience as a professor. Location & Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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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 As an AI Tutor - Economics, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from advanced economics domains, with a focus on macroeconomic forecasting, microeconomic incentives, and behavioral experiments. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in economics. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from economics fields that align with your expertise, focusing on areas like macroeconomics, microeconomics, and behavioral economics.  Regularly interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must possess a PhD in Economics or related field Proficiency in reading and writing, both in informal and professional English. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. Strong passion for and commitment to technological advancements and innovation in economics. Preferred Qualifications Possesses experience with at least one publication in a reputable economics journal or outlet. Teaching experience as a professor. Location & Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. _*]:min-w-0 !gap-3.5"> As a Mid Market Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic deals with established companies of hundreds or thousands of employees across traditional industries including manufacturing, retail, healthcare, financial services, and logistics. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them identify practical AI applications that enhance operational efficiency and drive competitive advantage. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with conservative business leaders focused on measurable ROI and risk mitigation. The ideal candidate will have a passion for guiding traditional organizations through technology transformation, building consensus among diverse stakeholders, and executing long-term strategies that drive sustainable AI adoption. By facilitating deployment of Anthropic's AI solutions in established business environments, you will help organizations modernize their operations while advancing the ethical development of AI. About Anthropic Anthropic is an AI safety and research company that works to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product. Responsibilities Drive new business revenue by navigating complex organizational structures to reach decision-makers and educate them on practical AI applications Execute sales strategies tailored to traditional industry procurement cycles and conservative decision-making processes to exceed revenue quotas Identify new operational use cases within traditional business functions and collaborate cross-functionally to position AI as practical enhancement solutions Build consensus among C-suite executives, IT directors, operations leaders, and procurement teams around AI adoption strategies Gather customer feedback to inform product roadmaps and strengthen value propositions for risk-conscious organizations Refine mid-market sales methodology by incorporating learnings into playbooks and optimizing processes for longer decision cycles You may be a good fit if you have: 8+ years B2B software sales experience with 5+ years closing in mid-market accounts within traditional industries Traditional industry expertise in manufacturing, retail, healthcare, financial services, logistics, or professional services Track record closing €100K-€5M deals with 6-12 month sales cycles in conservative business environments Experience as a strategic business advisor facilitating change management and technology adoption Proven ability navigating complex procurement processes and building consensus among diverse stakeholder groups Consultative selling approach translating technical AI capabilities into business language for conservative decision-makers History of exceeding quota while managing longer sales cycles across multiple traditional industry accounts Strong communication skills engaging audiences from technical teams to C-level executives Industry acumen with analytical approach to positioning AI as operational enhancement rather than disruptive technology Change management mindset for guiding conservative organizations through technology adoption Business outcome focus with ability to articulate ROI frameworks and demonstrate measurable operational improvements Passion for AI with commitment to safe, responsible deployment in stability-focused business environments Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:€165.000—€215.000 EURLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?Our team is a fast-growing group of committed researchers and engineers. The mission of the team is to build reliable machine learning systems and optimize audio inference serving efficiency using innovative techniques. As an engineer on this team, you will work on advancing core audio model serving metrics, including latency, throughput, and quality by diving deep into our systems, identifying bottlenecks, and delivering creative solutions for audio processing and streaming workloads.You’ll collaborate closely with both the training and serving infrastructure teams to ensure seamless integration between model development and deployment, with a special focus on real-time and streaming audio inference.Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations.You may be a good fit for the team if you have:Significant experience developing high-performance audio or machine learning inference systems.Proficiency with programming languages such as C++ and Python.Hands-on experience with deep learning models for audio, speech, or language applications.A bias for action and a strong results-oriented mindset.It is a big plus if you also have considerable experience with:GPU programming, low-level system optimization, model parallelization techniques over multiple GPUsHave experience with duplex real-time streaming architectures.Internals of machine learning frameworks for audio (such as PyTorch, TensorFlow, or specialized audio libraries).Have experience with inference framework like vLLM, SGLang, Tensort-LLM, or custom distributed inference systemsSequence modeling (e.g., transformers for audio/speech) and end-to-end audio pipeline optimizationIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?Large Language Models (LLMs) continue to push the boundaries of what AI systems can do — but inference is still the bottleneck. The Model Efficiency team is responsible for pushing the limits of LLM inference efficiency across our foundation models. We explore and ship breakthroughs across the model execution stack, including:model architecture and MoE routing optimizationdecoding and inference-time algorithm improvementssoftware/hardware co-design for GPU accelerationperformance optimization without compromising model qualityPlease Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations.As a Staff Research Engineer, you will develop, prototype, and deploy techniques that materially improve how fast and efficiently our models run in production.You may be a good fit for the model efficiency team if you:Have a PhD in Machine Learning or a related fieldUnderstand LLM architecture, and how to optimize LLM inference given resource constraintsHave significant experience with one or more techniques that enhance model efficiencyStrong software engineering skillsAn appetite to work in a fast-paced high-ambiguity start-up environmentPublications at top-tier conferences and venues (ICLR, ACL, NeurIPS)Passion to mentor othersIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?Our team is a fast-growing group of researchers and engineers focused on building reliable ML systems and pushing the boundaries of LLM inference efficiency. We develop techniques that improve how models execute in production, driving lower latency, higher throughput, and consistent quality across diverse workloads.As an engineer on this team, you’ll work across the inference stack to improve core performance metrics by diving deep into model execution, identifying bottlenecks, and developing innovative optimizations. You’ll collaborate closely with modeling and systems teams to experiment, measure, and ship improvements that meaningfully accelerate inference. As the team evolves, you’ll have opportunities to build expertise in advanced performance techniques, including GPU/CUDA optimizations, kernel-level improvements, and model execution strategies for MoE and large-scale architectures.Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations. You may be a good fit for the Model Efficiency team if you have:5+ years of experience writing high-performance, production-quality codeStrong programming skills in C++ or Python (Rust/Go also welcome)Experience working with large language models and familiarity with the LLM inference ecosystem (e.g., vLLM, SGLang, etc.)Ability to diagnose and resolve performance bottlenecks across the model execution stackA strong bias for action — you ship fast, measure impact, and iterateIt’s a big plus if you have experience with:GPU programming, CUDA, or low-level systems optimizationLanguage modeling with transformers (MoE, speculative decoding, KV-cache optimizations)Scaling performance-critical distributed systems (e.g., computation, search, storage)If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)