Find AI Work That Works for You

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a State and Local Government Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across state and local government agencies. You'll leverage your deep understanding of state and local government operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the state and local government market while maintaining the highest standards of security and compliance. Responsibilities: Drive new business and revenue growth specifically within state and local government agencies, owning the full sales cycle from initial outreach through deployment Navigate the unique requirements of state and local government procurement, including state-specific regulations, security standards, and agency-specific requirements Build and maintain relationships with key decision-makers across state, county, and municipal agencies, becoming a trusted advisor on AI capabilities and implementation Develop and execute strategic account plans that align with agency missions and modernization initiatives Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet state and local government requirements Create and maintain sales playbooks specific to state and local government use cases and procurement processes Take a leadership role in growing our state and local government presence while maintaining hands-on engagement with key accounts Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements You may be a good fit if you have: 5+ years of enterprise sales experience in the state and local government space, with a proven track record of driving adoption of emerging technologies Deep understanding of state and local government agency missions, challenges, and technology needs Demonstrated ability to balance strategic leadership with hands-on sales execution Experience navigating complex state and local procurement processes and compliance requirements Strong track record of exceeding revenue targets in the state and local government space Extensive experience with state and local government contracting vehicles and procurement mechanisms Excellent relationship-building skills across all levels, from technical teams to senior agency leadership Proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators Strategic thinking combined with attention to detail in execution Familiarity with state-specific data privacy laws and security compliance frameworks A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is:Annual Salary:$180,000—$350,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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About Norm AiNorm Ai is the Compliance AI Platform for legal standards-based reasoning and workflow automation.We developed the first Domain Specific Language (DSL) that fully represents regulatory requirements in AI code. Deployed through our enterprise platform, this DSL empowers Norm clients to transform workflows and enforce compliance checks at the core of their business operations.By building and deploying Government-Grade Regulatory AI, we are setting the standard for compliance processes within the world's largest institutions and paving the way for broader deployment of AI agents in highly regulated workflows. Our rapidly expanding client base manages a combined $17 Trillion in AUM.Our team comprises software engineers from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT, and legal engineers from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.We have secured investments from Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, Larry Summers, and Marc Benioff.About the roleWe’re looking for our first Quality Engineering Lead to establish and scale our QA strategy at the forefront of AI-powered enterprise compliance software. As our first dedicated quality hire, you’ll define and implement test processes, while partnering closely with engineering, product, and design to ensure our most complex and high-impact workflows are reliable and regression-resistant.This is a hybrid role: part technical contributor, part process leader, and part future team building. You’ll own the foundation of our quality efforts and help us evolve toward a scalable model that supports fast iteration without sacrificing stability.Core Responsibilities:Define and operationalize a pragmatic quality strategy that supports fast-moving, engineering-owned development.Lead by example–writing, organizing, and maintaining regression test plans (manual and automated) for critical flows.Partner with engineers to identify test gaps, reduce flakiness, and improve coverage across branching workflows.Introduce and enforce lightweight release-readiness practices for high-risk changes.Build tooling or partner with platform engineers to improve test infrastructure, data generation, and CI reliability.Track and share key quality metrics (e.g. regression trends, test pass rates, flaky test triage).Own root cause analysis for regressions and help ensure long-term prevention.Develop the roadmap to scale the QA function, including evaluating when and how to grow a team.Skills & Experience - Core:5+ years of experience in software engineering, QA, quality engineering, or test infrastructure rolesStrong experience designing and executing test strategies for complex, evolving enterprise productsHands-on experience with end-to-end testing tools (e.g. Playwright, Cypress), and writing maintainable automated testsComfort acting as both an individual contributor and quality process ownerExperience with CI/CD systems and improving test visibility and observabilityHigh ownership mindset with strong collaboration and communication skillsAbility to work cross-functionally with engineers, PMs, and designers to prioritize quality in the product lifecycleSkills & Experience - Pluses:Experience as a first QA hire or building QA functions from scratchExposure to AI-powered, probabilistic, or highly dynamic UIsFamiliarity with testing in regulated or enterprise environmentsExperience mentoring or managing other QA engineers, contractors, or automation specialistsWhat success looks like after 30 daysYou’ve mapped out key risk areas in the product and identified priority test coverage gapsYou’ve proposed a practical QA model that supports team-owned quality and minimizes regressionsYou’ve partnered with engineering leads to improve existing test coverage and reliability in CIYou’ve begun organizing and documenting regression testing practicesWhat success looks like after 90 daysYou’ve led structured regression testing cycles for high-risk workflows, with measurable impactYou’ve introduced key process improvements that help engineers ship with more confidenceYou’ve established visibility into test failures, coverage gaps, and quality KPIsYou’ve drafted a plan to scale the QA function, including staffing needs and tooling investmentsComp and Benefits $130,000-$185,000 a year plus equity.The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant. We embrace a flexible hybrid model, typically in-office 3–4 days per week.If you’re interested in the role but aren’t sure whether you’re a good fit, we’d still like to hear from you.

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Your New Role and Team Sanctuary AI, a world leader in building dexterity-driven Physical AI for general purpose robots, is looking to hire a skilled and motivated Senior Reliability Engineer to join our Operations team. The Senior Reliability Engineer is a crucial part of our team, supporting product commercialization, NPI and volume manufacturing.. Reporting to the Head of Operations,, you’ll contribute to the overall efficiency and effectiveness of our growing organization. As Sanctuary AI’s Reliability Engineer , you'll be a valued part of the team as you support the continued improvement in our Operations function, own the coordination of team project deliverables, and innovate best practices that drive continuous improvements in our product commercialization, NPI and volume manufacturing. This is a high-impact role with strong ownership. You’ll shape how reliability and quality practices are embedded throughout our design, development, and production workflows

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Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. Persona’s founding team has a decades-long history in humanoid robotics, bionics, and product development delivering robust hardware that has touched the stars, worked miles below the surface of the ocean, roamed Disney Parks, and has even been featured on a US postage stamp. Our mission is focused squarely on shipping beautiful, reliable products at massive scale, while building a customer-focused team to achieve these aims.We're seeking an Electrical Engineering Intern to join our team in Houston, TX and contribute to the development of cutting-edge humanoid robotics systems. You'll work directly with our mechanical and electrical engineering teams on real projects that impact our robot development.What You’ll Work On:PCBA Design & Testing: Support development and validation of custom electronics for humanoid robot power, communication, and actuation systemsCabling Systems: Assist with design and prototyping of robotic systems with a focus on designing cabling and understanding grounding and bondingEmbedded System Development: Be involved with the writing, testing, and validating embedded software for the custom electronics that we have producedEngineering Documentation: Create technical documentation, drawings, test reports, and design specificationsWhat you’ll learn:Hands-on experience with humanoid robotics development from concept to productReal-world application of engineering fundamentals in cutting-edge roboticsQualifications:Currently pursuing, or have obtained, a Bachelor's or Master's degree in Electrical Engineering, Robotics, Mechatronics, or related fieldA passion for robotics, automation, or electromechanical systemsExperience with electrical CAD software (ideally KiCAD), prototyping, and hands-on building (coursework, personal projects, student competitions, or hobby work)Experience with embedded software development (C, C++, Python, Git tools) and circuit simulation software (LTSpice)Strong work ethic and willingness to get hands-on with tools, equipment, and testingCollaborative mindset with excellent communication and teamwork abilitiesSelf-motivated with ability to ask good questions and take initiativeProgram DetailsFall Program: September 1 – November 30Application Deadline: July 15Final Selections by: July 31Location: Houston, TX (onsite)Compensation: Competitive hourly rateWhy join Persona AI?You'll shape technology that's redefining the possibilities of robotics and human interaction.Work alongside passionate teammates who value diversity, creativity, and continuous learning.Enjoy full access to advanced prototyping tools, labs, and the freedom to experiment and innovate.We offer competitive compensation, excellent benefits, flexible work environment, and equity opportunities.Not sure if you meet all the listed qualifications? That’s okay! We encourage you to apply anyway. Our needs are constantly evolving, and we're always looking for talented individuals who can grow with us. You might be exactly who we’re looking for — even if it’s for a role we haven’t thought of yet. Persona AI embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our work will be.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. As an AI Tutor - Data Science specialist, 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 where your expertise can drive significant improvements in model performance. 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. The AI Tutor - Data Science role is remote position and there are full-time and part-time positions available (please see the bottom of this job description for more details). 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. Regularly require you to interpret, analyze, and execute tasks based on given instructions. Key Qualifications: Must be either an IMO medalist (or similar competition medalist) or possess a Master's or PhD in a data science related field. Proficiency in reading and writing, both in informal and professional English. Strong research skills, and the ability to navigate various information resources, databases, and online resources are essential. You display outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material. You have a strong passion for and commitment to technological advancements and innovation. Preferred Qualifications: Possesses research experience with at least one publication in a reputable journal or outlet. Has previous AI Tutoring experience. Teaching experience (as a professor, teacher, or tutor). You possess experience in technical writing, journalism, or a professional writing setting. Professional background as a Data Scientist Additional Requirements: Available to work evenings and weekends, as the schedule varies depending on team operational needs; flexibility is required. Demonstrates a strong capacity to quickly adapt by learning new skills and unlearning outdated ones, thriving in dynamic and changing environments. For those who will be working from a personal device, please note your computer must be capable of running Windows 10 or macOS BigSur 11.0 or later. Location, Hourly, and Other Expectations: This position is fully remote. We are unable to provide visa sponsorship. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. Please indicate your interest in either full-time, part-time, or either in the application. Note that: Part-Time (20-29 hours per week): While hours are flexible around your schedule, you must be committed to working at least 20 hours per week (with at least 10 of these hours worked on weekdays) and no more than 29 hours per week. Full-Time (40 hours per week): Ideal full-time schedules are 9-5:30pm in your local time zone. However, flexible hours can be be offered. Compensation and Benefits: The pay for this role may range from $35/hr - $65/hr. Your actual pay will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. For full-time roles, benefits will include medical insurance and specific benefits vary by country.  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.About the role As an early member of our Finance Analytics and Business Intelligence team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by establishing robust analytics engineering and business intelligence capabilities for our Finance & Strategy (F&S) organization. In this unique company, technology, and moment in history, your work will be critical to ensuring accurate financial reporting, streamlining F&S processes, and developing data products as we deploy safe, frontier AI at scale to the world.  In this experienced individual contributor role as the first team member focused on analytics engineering for Finance & Strategy, you will use advanced analytics to drive strategic decision-making. Using your generalist analytics engineering skillset, you'll work at the intersection of finance, analytics, and business intelligence to develop automated reporting systems, data quality frameworks, and scaled insights that support our various business models and entities. You’ll partner closely across Data Infrastructure, Data Science & Analytics, Finance Systems, and Finance & Strategy. You've worked in cultures of excellence in the past and are eager to apply that experience to building robust, scalable systems and processes as our company goes through a phase of rapid growth. Responsibilities: Evolve analytics engineering and BI for Finance & Strategy at Anthropic, creating processes and best practices for financial data management, governance, and reporting Build and maintain canonical datasets, dashboards, and scaled insights solutions that provide real-time insights to finance and executive leadership Partner with Finance & Strategy teams (Product, Compute, GTM, and Corporate) to streamline recurring processes and increase velocity for analytical deep dives Partner with Data Infrastructure, Analytics Engineering, and Financial Systems teams to develop scalable data pipelines and infrastructure supporting accounting analytics Champion data-informed decision making across the organization You may be a good fit if you: Have 6+ years of hands-on experience in finance analytics, business intelligence, or analytics engineering with demonstrated experience partnering directly with Finance & Strategy, Data Infrastructure, and Financial Systems teams Are highly proficient in SQL and Python for data manipulation, ETL/ELT processes, analysis, and automation Have extensive experience with BI visualization tools such as Looker, Tableau Have experience with cloud platforms (AWS, GCP), modern data stack tools (dbt, Airflow, etc.) Have hands-on experience working with financial systems like NetSuite, Stripe, or other ERP/financial platforms, and building downstream data models from these systems Excel at translating complex business requirements into technical solutions and can communicate effectively with both technical and non-technical stakeholders Are detail-oriented with a commitment to data accuracy and have experience building robust, scalable analytical solutions Thrive in fast-paced environments and can manage multiple priorities while maintaining high-quality deliverables Strong candidates may have: Relevant certifications in financial systems or business intelligence platforms Prior experience in high-growth technology companies or startups Knowledge of statistical analysis and advanced analytics techniques Experience with financial planning and analysis (FP&A) processes and systems Strong financial acumen with deep understanding of finance principles (GAAP vs. non-GAAP, revenue recognition), financial statements, and corporate finance processes Familiarity with data governance best practices and experience implementing data quality frameworks  The expected salary range for this position is:Annual Salary:$265,000—$315,000 USDLogistics 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 WE ARE: MagicSchool is the premier generative AI platform for teachers. We're just over 2 years old, and more than 5.5 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.Customer Experience Operations ManagerAs the Customer Experience Operations Manager, you will play a pivotal role in simplifying complex systems and optimizing processes that support our customer-facing teams. You’ll own the execution of technical solutions, documentation standards, and cross-functional alignment to ensure scalable, intuitive, and efficient operations.Responsibilities In this role, you will be responsible for driving to the following outcomes:Translating evolving business needs into actionable, prioritized workflows and scalable systems improvementsServing as the first line of defense for Salesforce and GTM systems support — independently troubleshooting, diagnosing, and resolving issuesBuilding and maintaining Salesforce flows and automations, while documenting processes and maintaining a single source of truthLeading cross-functional projects by defining scope, driving stakeholder alignment, and keeping efforts ruthlessly prioritizedEnsuring CX systems and reporting are intuitive and reliable, with a user-first lens and a bias toward clarity and standardization Experience & Qualifications To be successful in this role, you’ll bring the following experience and qualifications:2–4 years in a customer experience, revenue operations, or GTM operations role, ideally within SaaSProven experience administering and building in Salesforce (flows, automations, reporting)Strong technical troubleshooting skills and the ability to translate business problems into system solutionsProficiency in Google Sheets and basic SQL; comfort learning and using additional tools in the GTM stackExperience managing projects with multiple stakeholders, balancing tradeoffs, and staying focused on impactAbility to document, standardize, and scale processes with a strong sense of time management and team collaborationComfortable pushing back on stakeholders and building consensus to ensure the right problems are solved Bonus Experience (Nice to Have)Familiarity with tools like Gong, Chili Piper, Skilljar, Intercom or other CX-enablement platformsExperience supporting Product-Led Growth (PLG) teams or strategiesExperience in high-growth, startup-like environments where agility and prioritization are criticalApplication Notice: Priority Deadline and Review Start DatePlease note that applications for this position will be accepted until 7/20/25 - 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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Hey! We’re team Granola 👋We’re a deeply product-led company building one of the few breakout AI-native tools that people genuinely love using. As we scale, we’re looking for our first Growth Product Manager to drive user acquisition and conversion optimisation.Granola isn’t just about meeting notes. We have an ambitious vision for how people collaborate with AI to think and work better, and we need someone to help more users discover and adopt our product at scale.You’ll work closely with our cofounders to optimise sharing flows, conversion funnels, and company-wide adoption strategies. This is a role for someone with a commercial mindset who’s passionate about growth metrics, viral mechanics, and data-driven experimentation.In this role, you will:Drive user acquisition through optimised sharing flows and viral mechanicsDesign and execute end-to-end growth experiments with clear success metricsIdentify and eliminate friction points in user conversion funnelsOptimise paywall timing and messaging to maximise conversionDevelop strategies for company-wide adoption of GranolaAnalyse growth data to inform product decisions and prioritisationWork closely with engineering and design to ship fast, data-validated improvementsBalance business growth with maintaining an exceptional user experience Your background will look something like:Growth product experience: You’ve driven measurable user acquisition and retention through product-led initiatives. You understand viral coefficients and how to optimise sharing mechanics.Data-driven approach: You have strong analytical skills and experience running A/B tests to optimise conversion funnels and user flows.Commercial mindset: You’re motivated by business metrics and understand how to translate user behaviour into growth opportunities.Execution in fast-moving environments: You know how to move quickly, run lean experiments, and scale what works.As a person, you are:Analytical and methodical: You’re comfortable with data, can identify meaningful patterns, and use metrics to guide decisions.Growth-oriented: You’re naturally drawn to questions of scale, virality, and conversion optimisation.Experimental mindset: You form hypotheses, design tests to validate them, and iterate based on results.Clear communicator: You can articulate growth strategies and results to both technical and non-technical stakeholders.Pragmatic and pace oriented: You care about quality, but you’ll cut scope to move faster and learn sooner.Collaborative: You work effectively with engineers, designers, and marketers to execute growth initiatives.

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Hey! We’re team Granola 👋We’re a deeply product-led company building one of the few breakout AI-native tools that people genuinely love using. Until now, our cofounder and CEO Chris has owned product, but as we scale, we’re looking for our first Product Manager to help take things to the next level.Granola isn’t just about meeting notes. We have an ambitious vision for how people collaborate with AI to think and work better, and we need someone to help turn that vision into reality.You’ll work closely with our cofounders, Chris and Sam, to shape new functionality, define how users interact with AI, and obsess over what great feels like. You’ll spend time deep in discovery, in the product, and yes, in the prompts and LLMs too.This role is perfect for someone with strong product fundamentals, deep user empathy and who has the product always on their mind. You want to build something excellent.In this role, you will…Take product ideas from 0→1, turning rough concepts into live features that solve real problemsExecute on the strategy laid out by our founding team, with a strong bias towards speed and clarityLead your own product initiatives from discovery through MVP and iterationTalk to users constantly. You’re curious, direct, and keen to understand what actually mattersWork closely with engineering and design to ship fast, thoughtful, high-quality workMake product calls: what to build, what to leave out, and when to shipWrite copy, tweak flows, test edge cases, whatever it takes to make the experience greatBuild trust by showing good judgement and sweating the right details, and earn the autonomy that comes with itYour background will look something like:Product management craft: You have strong fundamentals and have taken features from idea to launch, more than once. You know how to scope, prioritise, validate, and ship.Product sensibility: You have an innate curiosity about products, notice details others miss, and can articulate why certain experiences work (or don’t). You reverse-engineer solutions and recognise patterns across different products.Delivery in fast-moving environments: Maybe you’ve worked in startups, maybe in Big Tech, maybe both. We’re open. What matters is that you know how to move quickly, operate without a fully defined roadmap, and bring structure when it’s needed.Cross-functional collaboration: You work with engineers and designers as equals, not dependencies. You know when to bring others into the process, and when to make a call and move.As a person, you are:Curious and product-minded: You notice what others miss, ask “why” instinctively, and enjoy figuring out how things work.Low ego and adaptable: You have strong opinions, loosely held; confident in your thinking but open to changing your mind.Clear and thoughtful communicator: You listen well, speak with clarity, and build trust by following through.Pragmatic and pace oriented: You care about quality, but you’ll cut scope to move faster and learn sooner.Energised by ownership: Once trusted with a piece of the product, you want to take it, run with it, and make it great.

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What is Findem: Findem is HR 2.0. We’re a fast-growth startup with an ambitious vision and the technology to back it up. Our People Intelligence platform uses true AI and machine learning to provide critical solutions for talent acquisition and people analytics functions. With the deep insights that our platform provides, companies can build more engaged and diverse teams, and close their talent gaps faster. We have an amazing opportunity to establish ourselves as leaders in this space, and we need strong advocates to help us achieve that goal. We’re backed by top-tier investors including Wing Venture Capital – the same firm that backed Snowflake, Cohesity, and Gong. Findem powers businesses across scaling, pre-IPO, and publicly traded companies who trust us to solve their biggest HR and Talent challenges. We have an incredibly skilled and collaborative team that values curiosity, diversity, openness and building great experiences every day for our customers. By joining Findem, you will have the unique opportunity to help define what the future of HR looks like for every business. Why We Need You: We are looking for a seasoned Senior Staff Software Engineer to architect, lead, and drive strategic initiatives for robust, scalable backend infrastructure and microservices. You'll provide technical leadership and mentorship, while optimizing system performance, reliability, and scalability using tools like Docker, TypeScript, MongoDB, and generative AI technologies.

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At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.   About our Enterprise Team:  We’re looking for an Engineering Manager to help shape the future of AI-powered applications. In this role, you’ll bridge the gap between AI research and production, leading a team that is turning innovative prototypes into scalable, high-performance enterprise solutions. Your team will work on interactive AI applications, enterprise SaaS products, and platform capabilities that redefine how businesses leverage AI.   Responsibilities: Manage the engineering team and drive technical delivery. Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation. Comfortable working cross functionally, whether that be internal or external customers Work across the entire product lifecycle from conceptualization through production Build features end-to-end, system design, debugging and testing Deliver experiments at a high velocity and level of quality to engage our customers Influence the culture, values, and processes of a growing engineering team Inspire and mentor engineers. Collaborating with cross-functional teams to define, design, and ship new product features and experiences Requirements: At least 5 years of relevant experience and at least 2 years of experience managing back engineers is preferred Proven success in leading, managing, and developing high-performing Engineering teams Expertise in identifying product engagement patterns and trends for large scale consumer products Track record of shipping high-quality products and features at scale Desire to work in a very fast-paced environment Ability to turn business and product ideas into engineering solutions Excellent problem-solving skills, and be able to work independently or as part of a team. Excited to join a dynamic, hybrid team in either San Francisco or New York City. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$212,000—$254,400 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Jose 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. We're looking for a Senior HPC Systems Architect with extensive experience designing, developing, and testing large-scale high-performance computing (HPC) infrastructures. This strategic role focuses on crafting cutting-edge liquid-cooled HPC solutions.What You'll Do:Design and architect advanced HPC systems optimized for large-scale computational workloads and AI applications.Collaborate with internal teams and stakeholders to define system requirements and performance goals.Develop comprehensive testing frameworks to rigorously assess system performance, scalability, and reliability.Evaluate emerging technologies and architectural approaches to continuously enhance infrastructure capabilities.Create detailed architectural plans, documentation, and blueprints to guide implementation teams.Provide technical leadership and mentoring to engineering teams, fostering best practices in HPC architecture.About You:8+ years of experience designing and architecting large-scale HPC and distributed computing systems.Expert-level knowledge of HPC hardware including GPU clusters, compute nodes, high-speed networking (InfiniBand, Ethernet), and distributed storage.Hands-on experience with direct-to-chip liquid cooling systems.Proven expertise in creating robust performance benchmarks, capacity planning, and system validation.Exceptional skills in system architecture, design documentation, and technical specifications.Ability to work collaboratively across teams, ensuring alignment of technical solutions with business objectives.Self-motivated, strategic thinker with strong analytical and problem-solving capabilities.Nice to Have:Prior experience with AI infrastructure design.Familiarity with cloud computing environments and hybrid cloud HPC architectures.Knowledge of automation and orchestration tools (Ansible, Terraform, Kubernetes).Salary Range InformationBased on market data and other factors, the annual salary range for this position is $255,000-$340,000. 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, ~350 employees (2024) 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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The mission of Speechify is to make sure that reading is never a barrier to learning. Over 30 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview Speechify's Studio is one of our latest products addressing creators' needs to create human-sounding voiceovers with AI text-to-speech, dub videos, clone their voice and more.  This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Build and maintain Speechify's Creator Studio found at speechify.com/studio Integrate AI models to provide state of the art voiceovers, dubbing, voice cloning and more An Ideal Candidate Should Have Experience with AWS/GCS and be able to build service architectures leveraging these services Experience building scalable architectures using micro services Experience writing testable code and pushing the bar higher on testing infrastructure Proficiency with React and modern React stack, or NodeJS, or both Understanding low-level JS and be able to profile and optimize SPA FE/backend performance Preferred: video and audio processing experience What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Salary The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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About Us:At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is not half as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data — and for 95% of teams, this essential step is both the most costly, and the most time-consuming, in getting their product to market. As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one the fastest growing companies in our space, and consistently rated as the best tool in the market by our customers. We have big plans ahead and are looking for a rockstar Senior PMM to join our Marketing team! About You:-Ideal candidates will have a proven record in product marketing and experience working on technical products. -You would have a strong understanding of Data & AI platform offerings, have worked on creating messaging and positioning of technical products targeted at the enterprise market, and can build strong working relationships with stakeholders to deliver joint messaging and GTM plans. -You also have experience creating compelling product and product-related thought leadership content to support customers on their learning journey and for Growth/Demand marketing to use for audience, use case, or vertical-specific campaigns. -5+ years of product marketing experience at an enterprise software company, preferably including PMM experience in early-stage AI startups-Excellent writing skills for succinct messaging targeting AI/ML engineers and AI executivesAbility to thrive in a fast-paced, dynamic, team-oriented environment   -Deep understanding of Data and AI spaceExperience building compelling technical and business content-Works collaboratively with sales, growth marketing, and product teams-Comfortable owning and running direct customer engagements-Strong public speaker and technical aptitude to become the end-to-ent expert on the -Encord platform to be able to effectively demo at events and to prospectsPreferred technical academic background (BS in computer science or related discipline) About YouAs our second product marketer, you will lead the marketing of the Encord Platform. This will include owning how we message Encord across targeted use cases, verticals, and personas. This is a critical role for the business, and you will become the subject matter expert for the end-to-end platform. The impact you will have-Own the messaging of Encord, as well as the messaging for platform-wide capabilities-Amplify the platform-level messaging through the Encord website and channels-Build and deliver sales enablement with high CSAT scores with field teams-Be the expert in any platform-specific messaging for any campaign or event Encord is running, and enable GTM teams with highly performant content to drive strong engagement and pipeline-Deliver a drumbeat of compelling customer stories, highlighting the Encord Platform capabilities, technical details, and realized value-Hone messaging by developing value proposition and messaging frameworks and driving articulation of product portfolio positioning aligned to Encord's targeted audiences and ICP-Help build a product our customers love-Collaborate closely with product & engineering to identify needs and sharpen product offerings based on the competitive landscape and feedback from customers What We Offer:- Competitive salary, commission and equity in a hyper growth startup.- Real opportunities to grow. We’re growing insanely fast and you’ll have all the opportunities for growth that you can handle.- Strong in person culture. We're 3-5 days a week in our Fitzrovia office.- Flexible PTO to recharge. - Annual learning and development budget. - 25 paid vacation days + bank holidays. - Lots of opportunities for travel (all around the US, to London & Europe).- Bi-annual off-sites and monthly socials. - Health, dental and vision insurance. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture and many more.  Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. 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. We're looking for a Storage Systems Architect experienced in designing, planning, testing, and implementing large-scale distributed storage systems. You will play a critical role in defining our storage infrastructure strategy, driving technical solutions that ensure scalability, reliability, and efficiency for our growing business and operational needs. You will collaborate closely with engineering teams, infrastructure operations, and product stakeholders to ensure our storage solutions align with company objectives and technical requirements. What You'll Do:Architect, design, and implement distributed storage solutions optimized for AI workloads.Drive the development of storage system standards and best practices to ensure consistency and reliability across infrastructure.Evaluate and benchmark storage technologies to meet demanding AI performance requirements.Collaborate with engineering teams to integrate storage solutions with cloud product offerings.Define and maintain storage capacity plans, performance metrics, and scalability roadmaps.Drive operational excellence, ensuring high availability, disaster recovery, and data integrity.Provide mentorship and technical leadership to storage and infrastructure engineers.About You:Proven experience (7+ years) designing and implementing distributed storage systems.Deep expertise with distributed storage technologies (e.g., Ceph, Lustre, or similar).In-depth knowledge of underlying hardware systems supporting storage deployments.Strong understanding of storage architectures, data replication, redundancy strategies, and performance optimization techniques.Experience working with high-performance and high-availability storage solutions.Familiarity with object, block, and file storage protocols.Ability to identify, analyze, and resolve complex technical issues.Excellent communication skills, capable of clearly articulating technical concepts to diverse stakeholders.Nice to Have:Expertise in designing, implementing, and managing both enterprise-grade and open-source storage systems.Experience with cloud storage solutions (AWS S3, Azure Blob Storage, Google Cloud Storage).Familiarity with container storage solutions and orchestration.Experience managing storage in large-scale cloud environments.Exposure to data security, compliance, and regulatory requirements (e.g., GDPR, HIPAA).Salary Range InformationBased on market data and other factors, the annual salary range for this position is $349,000-$465,000. 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, ~350 employees (2024) 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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We are seeking a strategic Director of Customer Success to lead our global customer support and service efforts across our aircraft product lines. In this role, you will be responsible for being the customer’s first touchpoint for product issues, owning the resolution of technical problems through coordinated support workflows, and capturing fleet support data to design world-class customer experiences that reinforce trust, satisfaction, and long-term success. As the voice of the customer within the organization, you will work closely with program and product management, engineering, flight operations, and business development teams to ensure customers are delighted by the products they receive.

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At TensorWave, we’re leading the charge in AI compute, building a versatile cloud platform that’s driving the next generation of AI innovation. We’re focused on creating a foundation that empowers cutting-edge advancements in intelligent computing, pushing the boundaries of what’s possible in the AI landscape.About the Role:As a Cloud Engineer on our Customer Experience team, you’ll be the front line of a high-performance support model that bridges traditional L1/L2 roles with the technical rigor demanded by AI infrastructure customers.You’ll help enterprise ML engineers, DevOps teams, and CTOs solve complex challenges involving GPU workloads, infrastructure orchestration, and deployment at scale. Your mission? Deliver timely, precise, and white-glove technical support that builds trust and accelerates adoption with the most exciting customer partners in the industry.TensorWave is growing fast, and this role is a rare opportunity to get in early, grow with the team, and carve out your path as we scale.Responsibilities:Triaging & Resolution: Act as first and second line of defense for technical issues (VMs, networking, API errors, orchestration tools, GPU utilization, etc.).Customer Communications: Manage tickets, live chat, and calls across Premium/Platinum support tiers. Communicate clearly and empathetically to both technical and non-technical users..Collaborate Cross-Functionally: Escalate critical bugs, provide logs + context to engineering, and contribute to product improvement feedback loops.Documentation & Enablement: Write clear, technically accurate documentation and playbooks to improve support efficiency and self-service.Tooling & Automation: Help us scale support by improving diagnostics tooling, chatbots, and macros to reduce MTTR.Success Partnership: Support QBRs and onboarding sessions for top-tier customers alongside Customer Success Managers.Essential Skills & Qualifications:2–4 years in technical support, cloud operations, or SRE environments.Hands-on experience with:Linux environments (logs, bash, process/thread management)Cloud compute platforms (AWS/GCP/Azure or similar).Containerization or orchestration tools (e.g., Kubernetes, Docker, Terraform, SLURM).AI/ML workloads (inference, training, fine-tuning).Troubleshooting APIs and REST/GraphQL calls.Strong communicator with the ability to simplify complex technical issues.Comfort in a fast-paced startup environment where priorities shift rapidly.Familiarity with GPU-accelerated cloud environments.We’re looking for resilient, adaptable people to join our team—folks who enjoy collaborating and tackling tough challenges. We’re all about offering real opportunities for growth, letting you dive into complex problems and make a meaningful impact through creative solutions. If you're a driven contributor, we encourage you to explore opportunities to make an impact at TensorWave. Join us as we redefine the possibilities of intelligent computing.What We Bring:In addition to a competitive salary, we offer a variety of benefits to support your needs, including:Stock Options100% paid Medical, Dental, and Vision insuranceLife and Voluntary Supplemental InsuranceShort Term Disability InsuranceFlexible Spending Account401(k)Flexible PTOPaid HolidaysParental LeaveMental Health Benefits through Spring Health

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We are a global AI research and technology company focused on building Universal Simulation systems. The research we are doing and the tools we are building are maturing rapidly and are quickly becoming the foundation for how we will all soon approach making anything. From images to videos, scripted media to documentaries, graphic design to architecture, interactive games to social media, new forms of learning and the future of entertainment itself. Everyone will be empowered to make anything. There will no longer be any barriers to entry. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.About the role *Open to hiring remote across North America — we also have offices in NYC, San Francisco, and Seattle We’re looking for a Technical Customer Success visionary to join our fast-moving team of product experts, creators, and engineers to redefine what's possible with generative content. You will join a growing commercial team focused on unlocking transformative workflows for our customers. You will serve as the primary point of contact for customers while architecting use cases and solutions to drive value and growth. You'll be instrumental in ensuring our customers achieve maximum value from Runway while fostering long-term partnerships. At Runway, we are building the future in real-time. You will drive that growth by thinking from first principles, navigating ambiguity, and turning complex technical challenges into customer success stories that reshape entire industries. What you’ll do Serve as the trusted advisor for our enterprise customers and API partners, becoming their go-to expert for navigating the rapidly evolving AI landscape by enabling a collaborative day-to-day experience and providing solutions to their questions Build technical proofs of concept and leverage your knowledge of Runway and APIs to help customers understand how to embed Runway into their workflows Uncover valuable use cases and breakthrough applications by diving deep into customer challenges and thinking creatively about how our technology can solve a wide range of problems Partner with the broader commercial team to design and execute on sophisticated post-sales strategies that drive measurable product adoption, engagement, and revenue expansion across our enterprise portfolio Design and execute innovative customer engagement initiatives: hackathons that spark creativity, community events that build ecosystems, QBRs that demonstrate transformative ROI Create scalable, data-informed engagement strategies that can grow with our rapidly expanding customer base, leveraging analytics to evaluate customer health and identify critical goals to drive customer happiness Champion our customers internally by translating their feedback into actionable product insights that shape our roadmap Master every aspect of the Runway platform to become the definitive expert on our workflows, use cases, and technical implementation What you’ll need Proven track record in customer success, sales engineering, or account management in high-growth technology companies Hands-on experience working with APIs, understanding of coding concepts, and basic proficiency in at least one scripting language (Python, JavaScript, or similar) Experience building analytics dashboards and deriving insights from customer data; SQL and data visualization expertise strongly preferred Strong project management and organizational skills Outstanding communication skills with the ability to explain complex technical concepts to diverse audiences Bias toward action with the ability to move quickly while maintaining quality Intellectual curiosity and continuous learning mindset For your application (optional): During our interview process, you'll have several chances to get acquainted with the Runway product and use all the features our team has built - and that starts now! As part of your application, instead of a cover letter, we ask that you try out the Runway product. Specifically, create a free Runway account and generate one video using our Text/Image to Video feature. The clip should be five seconds long and can be about anything you want! Please share a public link in your application for our team to review.   Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Salary range: $150,000 - $200,000Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway Research Our AI Film Festival Runway Studios Our Behaviors and Company Mission Towards a new media ecosystem with world simulators; $300m Series D funding We're excited to be recognized as a best place to work Crain's | InHerSight | BuiltIn NYC | INC  

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About the RoleAnyscale is seeking a Senior Product Manager to lead Ray Data, our scalable data processing library for ML and AI workloads.This is a uniquely challenging role that requires balancing open source growth with commercial differentiation - driving rapid adoption in the open source Ray Data ecosystem while building compelling proprietary features for RayTurbo Data, our high-performance commercial engine.You'll own the entire Ray Data product roadmap in a competitive landscape, working closely with the engineering team, the field team, enterprise customers, and the open source community. Success requires:Deeply ingraining yourself into the end-user experience to understand the nature of the product and its gaps and tradeoffsWorking closely with customers and open source users to draw the subtle line between growth and commercializationStrategic thinking about which parts of the ML/Data lifecycle to focus on, identifying opportunities where our architectural strengths create the most value.Thinking deeply about and clearly articulating the product strategy to stakeholdersKey ResponsibilitiesDrive the Ray Data product roadmap - Balance open source Ray Data feature development with RayTurbo Data commercial differentiation to ensure that both Ray Data becomes the open source standard for AI data processing and RayTurbo remains sufficiently compelling.Drive open source Ray Data adoption - Focus on community growth, developer experience, and ecosystem integrationsMarket Positioning & Enablement - Work closely with Product Marketing on strategic market positioning, field enablement, and competitive analysis to maintain differentiation.Customer engagement - Drive key customer engagements assisting sales and field engineering teams.Required Qualifications3+ years of product management experience with technical productsStrong technical background in distributed systems, ML infrastructure, or data processingExperience working with developer and enterprise audiencesStrategic thinking with ability to balance competing priorities and stakeholder needsLocated in or willing to relocate to the Bay AreaPreferred QualificationsPrior experience with open source products and commercial monetization strategiesBackground in ML tooling, data infrastructure, or developer toolsAbout Ray DataRay Data is a scalable data processing library built on Ray Core that provides flexible and performant APIs for distributed data processing. It enables offline batch inference and data preprocessing for ML training, scaling data processing to large clusters while maintaining ease of use for developers.

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Job Description:Shield AI’s mission is to protect the lives of service members and civilians with intelligent systems. The Hardware Test Engineering team contributes to this effort by designing test solutions that drive high hardware reliability on our V-BAT vehicle. These solutions are in-house designed electrical and mechanical equipment used to perform component and system-level testing, both at ambient and in simulated harsh environmental conditions. As an entry-level Software Engineer on the Test Engineering team, you’ll support the development of software used to automate hardware testing and data collection. You’ll contribute to internal tools and infrastructure that help ensure our test systems are scalable, efficient, and reliable. This is a great opportunity to gain hands-on experience working at the intersection of software and hardware, supporting critical testing for next-generation aerospace systems.