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Mutiny Overview Mutiny is building a first-class agentic GTM platform that unifies sales and marketing to help companies close enterprise deals faster. Our customers are enterprise marketing and sales teams who face a fundamental challenge: what works isn’t scalable, and what’s scalable doesn’t work. Mutiny is solving this by combining AI agents, creative workflows, and deep integrations to deliver personalized marketing and sales experiences at scale. Our customers include some of the fastest-growing B2B companies—Uber, Amplitude, Qualtrics, and LaunchDarkly. We are backed by Sequoia Capital, Tiger Global, Insight Partners, and Y Combinator. About the Role We’re looking for a Senior Product Designer to join our Workflows Team in New York. You’ll own the design of our Campaign Builder and Creative Agent experiences—core surfaces that let marketers and sellers generate, edit, and launch personalized campaigns across accounts. This role is central to how Mutiny brings our agentic vision to life: helping enterprise teams go from idea to personalized assets with speed, trust, and quality. You’ll partner closely with PM, Eng, and other designers to define the end-to-end experience—from conversational AI collaboration to guardrails for brand consistency. 📍 This role is based in NYC and requires being in-person 5 days a week. What You’ll Do Lead design for the Asset Builder and Creative Agent workflows, balancing AI automation with marketer oversight Translate complex enterprise user needs (ABM, demand gen, sales collaboration) into intuitive flows that feel simple and empowering Design experiences that scale—from 1:1 account personalization to 1:many campaigns—while maintaining quality and trust Collaborate with PMs, engineers, and other designers to prototype, validate, and ship new features quickly Establish design patterns and systems that unify co-pilot chat, visual editing, and approval workflows Advocate for the end user, ensuring every change is checked against the full flow and end-to-end experience What We’re Looking For 5+ years of product design experience, ideally in SaaS or enterprise tools Strong portfolio demonstrating thoughtful UX for complex workflows and creative tools Ability to design for AI-driven experiences: balancing automation, transparency, and human control Comfort working from 0→1: shaping ambiguous problem spaces into clear, elegant solutions Excellent collaboration and communication skills—you thrive in cross-functional teams Bonus: experience designing for marketing, sales, or creative platforms Bonus: technical literacy; experience with vibe coding and a broad set of AI tools Why Join Mutiny Impact: Your work will shape the core creative workflows that define our product strategy for the next 18 months. Velocity: We move fast, ship often, and learn directly from enterprise customers. Collaboration: Partner with a high-caliber, supportive team committed to building the future of enterprise GTM. Growth: Be part of a fast-scaling startup where design has a seat at the table and drives product direction. Hiring Process Our process typically takes 2–3 weeks end-to-end. Hiring Manager Screen (30 min): Chat with our Head of Design about your past work, design approach, and what you’re looking for in your next role. Design Exercise: Async Loom walkthrough of 2 projects (5–10 min) 45 min live portfolio deep dive with panel Cross-Functional Interviews (3 x 45 min): With your PM counterpart, Engineering counterpart and a member of our CX team. Executive Interview: A final conversation with Jaleh (CEO & Cofounder) before making things official. Our Values 😜 Work should feel like play 🏃 Faster always wins 🍯 Stir the pot, regularly 👀 Do the right thing when no one’s watching 🛥 All hands on deck 🌎 Live in the world you want to change We are committed to empowering individuals of all backgrounds, experiences, and identities to reach their potential. We believe in balanced teams, which is why we have maintained a 50% male-to-female ratio in our investors and are committed to maintaining diversity of gender, lifestyle, ethnicity, and thinking in our team as we scale. Compensation We offer a competitive package including base salary, equity, and full benefits. The estimated salary range for this role is $155,000–$190,000, depending on experience. Additional Benefits Flexible paid time off Generous parental leave 100% medical, dental, and vision coverage Lunch provided daily in our NYC office Office-first culture with a vibrant HQ in Flatiron/Union Square H1-B sponsorship available Mutiny does not accept agency-submitted candidates for this posting. #LI-MT1

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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 Data Operations Manager for Computer Use & Tool Use, you'll build and scale data operations that advance Claude's computer use capabilities and tool use safety. You'll partner with research teams to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This is a zero-to-one role requiring technical depth to understand what makes high-quality training data for autonomous agents, but your focus will be on strategy and execution rather than hands-on engineering. Think technical founder who evolved from writing code to building the business. About the Impact: The data strategies and operations you build will directly determine how well Claude can use tools safely, operate computers autonomously, and maintain quality across long-horizon agentic workflows. You'll work with world-class researchers advancing frontier capabilities, safety, and model performance while building the operational infrastructure to scale these efforts. We're looking for someone who gets excited about the challenge of scaling quality for complex, multi-turn agent interactions - someone who can think strategically about data needs for both capabilities and safety, build the right partnerships, and execute flawlessly. If you thrive at the intersection of technical depth and operational excellence, we'd love to hear from you. Responsibilities: Develop and execute data strategies for computer use, tool use safety, and agentic AI research Partner with research leaders to translate technical requirements into operational frameworks Build data collection and evaluation systems for complex scenarios: prompt injection robustness, multi-turn agent conversations, adversarial attacks, autonomous workflows Scale the generation of realistic evaluation environments that capture real-world tool use and computer use challenges Identify, evaluate, and manage specialized contractors and vendors for technical data collection Implement quality control processes to ensure data meets training requirements for both capabilities and safety Manage multiple complex projects simultaneously, balancing research velocity with rigorous evaluation standards Track metrics and communicate progress to stakeholders You may be a good fit if you: Have 3+ years in technical operations, product management, or entrepreneurial experience building from zero to scale Have strong technical foundations - proficiency in Python and understanding of ML workflows, RL environments, and evaluation frameworks Have strong communication skills and can effectively engage with both technical and non-technical stakeholders Are familiar with how LLMs work and could describe concepts like RLHF, tool use, and agentic workflows Understand the unique challenges of evaluating autonomous systems and long-horizon agent behaviors Are highly organized and can manage multiple parallel workstreams effectively Have a high threshold for navigating ambiguity and can balance strategic priorities with rapid execution Thrive in fast-paced research environments with shifting priorities and novel technical challenges Are passionate about AI safety and understand the critical importance of high-quality data in building safe, capable agentic systems Strong candidates may also have: Experience at companies training AI models, building AI agents, or creating AI training data, evaluations, or environments Knowledge of computer and tool use safety challenges like prompt injection, data exfiltration attempts, or adversarial attacks Experience with RLHF, reinforcement learning techniques, or similar human-in-the-loop training methods Domain expertise in computer use automation, security, or AI safety evaluation Familiarity with model performance monitoring, training observability, or quality assessment systems Track record of building and scaling operations teams 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:$250,000—$365,000 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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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.About the RoleBuild systems that transform powerful pre-trained models into aligned and general agents.Drive research and engineering initiatives that push the frontier of post-training, from data curation to large-scale optimization.Develop data generation pipelines, reward models, reinforcement learning algorithms, and inference-time scaling techniques.Collaborate across pre-training and post-training teams to deliver step-function gains in model capability.Contribute to shaping our understanding of how large models learn to reason, follow instructions, and improve through reinforcement learning.About YouDeep understanding of machine learning fundamentals and practical experience with large-scale LLM training.Strong engineering skills, comfortable diving into complex ML codebases and distributed systems.Experience improving model behavior through data, reward modeling, or RL techniques.Evidence of owning ambitious research or engineering agendas that led to measurable model improvements.Thrive in a fast-paced, high-agency startup environment; bias toward action and clarity of execution.Able to work fluidly across research and infra boundariesStrong communication capabilities and comfort working collaborativelyPassionate about advancing the frontier of intelligence.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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About UsAt Squint, we're building technology that matters. While many tech companies focus on digital-first industries, we've set our sights on empowering the 80% of the global workforce that keeps our world running: frontline manufacturing operators. From soda cans to tires, toothpaste to chocolate bars, chips to napkin holders, these are the people who build the things you touch and see every single day.The Leading Manufacturing Intelligence PlatformSquint delivers critical knowledge to frontline workers exactly when and where they need it. Our platform transforms manufacturing operations by putting AI and AR capabilities directly at workers' fingertips, creating what we call "agentic manufacturing" – where every team member has the power to make informed decisions in real-time using practical, applied artificial intelligence tools.Proven Impact with Industry LeadersOur technology serves Fortune 500 leaders across Automotive, Consumer Packaged Goods, and Life Sciences industries. These companies trust Squint to capture and activate their essential operational know-how, resulting in measurable improvements: reduced downtime, minimized waste, and optimized productivity at scale.Technology that Respects its UsersWe build consumer-grade software that delivers enterprise-grade results on familiar devices: phones and tablets. By combining cutting-edge innovation with deep customer insights, we create tools that feel intuitive while transforming how physical production environments operate.Backed and Built by the BestWe raised a $40m Series B at a $265m valuation and are backed by elite investors; including Sequoia Capital, Menlo Ventures, TCV and The Westly Group. Our co-founders have been recognized on Forbes' 30 Under 30 for Manufacturing and Industry, and Fast Company named us one of the most innovative augmented and virtual reality companies of 2025.Join Us in Making a DifferenceWhen you join Squint, you're not just building another app – you're creating technology that improves daily work life for people who manufacture the products our world depends on. It's meaningful work with visible impact.About the JobAs a Sales Engineer, you will help customers understand and realize the value that Squint brings to their organization. To achieve this, you will lead technical discussions, uncover manufacturing challenges, and design tailored solutions. You will showcase Squint’s capabilities through live demos, in-person site visits, and proofs of value that validate business impact in real-world conditions. Internally, you will help our team refine processes and playbooks and act as the voice of the customer to ensure our product continues to solve real problems and deliver measurable results that delight our customers.Key ResponsibilitiesPartner with Account Executives to understand customer needs and deliver tailored solutions.Conduct in-depth discovery to map business processes and identify pain points.Design and deliver compelling Proofs of Value anchored to core business outcomes.Address technical objections and articulate how Squint integrates with existing manufacturing workflows.Engage with key stakeholders, from plant managers to C-level executives, to ensure alignment on business objectives.Prioritize our customers’ success above all else.QualificationsExperience: 3-5+ years in a technical customer-facing role, ideally in manufacturing, AI, AR, or industrial solutions.Technical Proficiency: Ability to design and scope AI- and AR-driven manufacturing solutions and Proof of Value implementations.Analytical Skills: Ability to understand customer needs, analyze data, and tailor solutions to address specific pain points.Communication Skills: Ability to create technical proposals, presentations, and ROI analyses to share with stakeholders at all levels of an organization.Adaptability: Proven ability to thrive in a fast-paced, dynamic environment, inventing solutions on-the-fly.Travel: Willingness to travel frequently to customer sites.BenefitsCompetitive Salary and EquityComprehensive Medical, Vision, and Dental careFlexible PTO PolicyWellness BenefitMaven Family Planning BenefitsMental Health Services401(k) Retirement PlanCompany-wide RetreatsA Final NoteWe are committed to creating a diverse and inclusive workplace. Squint is an equal opportunity employer, welcoming applicants from all backgrounds without regard to race, gender, age, or any other protected characteristic. We encourage you to apply even if you're not quite sure you fit all the requirements for the role!Ready to redefine the future? Join us at Squint and be a part of something revolutionary.

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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 Team The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do. Responsibilities: Build security for large-scale AI clusters, implementing robust cloud security architecture including IAM, network segmentation, and encryption controls Design secure-by-design workflows, secure CI/CD pipelines across our services, help build secure cloud infrastructure, with expertise in various cloud environments, Kubernetes security, container orchestration and identity management Ship and operate secure, high-reliability services using Infrastructure-as-Code (IaC) practices and GitOps workflows Apply deep expertise in threat modeling and risk assessment to secure complex cloud environments Mentor engineers and contribute to hiring and growth of the Security team You may be a good fit if you have: 5-15+ years of software engineering experience implementing and maintaining critical systems at scale Bachelor's degree in Computer Science/Software Engineering or equivalent industry experience Strong software engineering skills in Python or at least one systems language (Go, Rust, C/C++) Experience managing infrastructure at scale with DevOps and cloud automation best practices Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics Outstanding communication skills, translating technical concepts effectively across all organizational levels Demonstrated success in bringing clarity and ownership to ambiguous technical problems Strong systems thinking with ability to identify and mitigate risks in complex environments Low ego, high empathy engineer who attracts talent and supports diverse, inclusive teams Experience supporting fast-paced startup engineering teams Passionate about AI safety and alignment, with keen interest in making AI systems more interpretable and aligned with human values Strong candidates may also: Designing and hardening CI/CD pipelines against supply chain attacks through isolated environments, signed attestations, dependency verification, and automated policy enforcement Building secure development workflows through hardened remote environments Implementing network segmentation and access controls in cloud environments Managing infrastructure through automated configuration and policy enforcement Hardening containerized applications and enforcing security policies 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:$300,000—$405,000 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 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 Data Operations Manager, you'll build and scale data operations across research teams working on frontier AI capabilities. You'll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution. About the Impact: The data operations you build will directly determine how well our models perform on critical capabilities—tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You'll work with world-class researchers advancing the frontier while building the operational infrastructure to scale these efforts. We're looking for someone who gets excited about the challenge of scaling quality across diverse research areas—someone who can understand nuanced technical requirements, build the right partnerships, and execute flawlessly. If you thrive at the intersection of operational excellence and cutting-edge AI research, we'd love to hear from you. Responsibilities: Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale Design and implement operational systems that translate research requirements into high-quality data pipelines Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI systems Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities You may be a good fit if you: Have 3+ years in operations, consulting, product management, or program management roles Have exceptional project management skills with ability to handle multiple complex projects simultaneously Have strong communication skills and can engage effectively with technical and non-technical stakeholders Are familiar with how LLMs work or have strong interest in understanding AI training methodologies Are highly organized and can navigate ambiguity effectively Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar) Thrive in fast-paced research environments with shifting priorities Are passionate about AI safety and understand the critical importance of high-quality data Strong candidates may also have: Experience with data collection, labeling, or annotation operations for AI/ML systems Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows Background working with research teams at AI companies or research-oriented organizations Experience managing vendor relationships or external contractors Consulting background with experience translating complex requirements into deliverables Track record of implementing process improvements or quality control systems at scale 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:$250,000—$365,000 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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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.We're always open to great people. If you're aligned with our mission but don't see the right role, we'd love to hear from you. What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.About the RoleResearch and build solutions across algorithms, scaling laws, data processing, optimizers, and model architecture.Design and run scientific experiments to advance our understanding of scaling large language models and data efficiency.Implement state-of-the-art methods from the deep learning literature.Lead small research projects independently while collaborating on larger initiativesOptimize the training infrastructure for efficient scaling.Contribute across the entire stack, from low-level optimizations to high-level model design.About YouGraduate degree (MS or PhD) in Computer Science, Machine Learning, or related discipline.Solid software engineering capabilities with experience building large-scale systems.Experience with large-scale ETL workflows and training data preparation.Deep understanding of large-scale ML, especially as it relates to language models, distributed training, and scaling.Proficient in Python and deep learning frameworks (PyTorch preferred).Navigate trade-offs between research objectives and practical engineering realities.Thrive in a fast-paced, high-agency startup environment with bias toward action.Strong communication capabilities and comfort working collaboratively.Passionate about advancing the frontier of intelligence.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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MetaviewMetaview is re-engineering hiring with AI at the core. Thousands of companies already use Metaview to accelerate their recruiting workflows, remove toil, and make hiring decisions with more precision.Our AI Assistant for Recruiting is used by over 3,000 companies around the world, and already makes recruiting flows drastically more efficient. But efficiency is just the starting point: the date we're capturing will enable us to build the AI platform that recognizes talent better than any human ever could.Metaview was founded by Siadhal and Shahriar after their experiences scaling Uber and Palantir. We recently announced our $35m Series B, led by Google Ventures! Growing 5x YoY, our customers are raving fans of the product, and our innovation has been covered in Fortune, Forbes, TechCrunch, and The Times.The teamWe’re here to do the best work of our lives, and are immersed in our work.We optimize for rate-of-learning. Watch the clock, not the calendar.We’re direct and actively-transparent in how we communicate and share progress. This means we all have the context and information required to help each other excel.The roleTL;DR:Be the bridge between Customers, Product, and Sales; transforming insights into impact.Drive AI adoption by leading change management and workflow transformation.Play a key role in shaping a new function at a category-defining AI startup.Set the blueprint for how Engagement evolves at Metaview.The Engagement team partners with forward-thinking customers to transform how they hire. This isn’t customer support — it’s strategic engagement. You’ll guide organizations through the adoption of AI in their hiring workflows, ensuring they unlock meaningful outcomes and long-term value.As Engagement Manager, you’ll serve as the connective tissue across Customers, Product, and Sales — helping executives reimagine processes, operators embed AI day-to-day, and our internal teams sharpen strategy with deep customer insights.What you’ll doBuild trusted, strategic partnerships with senior stakeholders — from recruiters to C-level — to drive business outcomes with AI.Guide organizations through change management, onboarding, adoption, and expansion; helping them scale AI-driven workflows across teams.Drive revenue outcomes by maximizing retention and unlocking expansion opportunities; ensuring customers realize long-term value while partnering with Sales to grow accounts.Synthesize insights from the field to shape our Engagement methodology and influence product and sales strategies.Serve as an AI thought partner: running workshops, sharing best practices, and elevating Metaview’s role as a category leader.Proactively identify risks and opportunities in accounts, using product data and customer conversations to inform action.You3+ years in consulting, customer-facing, or strategy roles at high-growth B2B startups or top-tier firms.Proven ability to engage across levels — influencing executives while rolling up your sleeves with operators.Strong analytical and strategic thinker; comfortable making data-driven decisions.Skilled in change management and guiding customers through transformation.A natural communicator: able to distill complexity into clarity, whether 1:1 or at an exec workshop.Entrepreneurial, adaptable, and energized by experimentation.Deeply aligned with our brand: intelligent, low-BS, authentic, and customer-obsessed.What’s in it for youBlueprint a new function: Engagement Manager role, with the chance to define how Engagement is done at Metaview.Career acceleration: high visibility and ownership in a fast-growing Series B rocketship.The opportunity to work at the intersection of customers, product, and AI making a real impact every day.Generous equity alongside competitive comp and benefits.Work with a team that takes hiring seriously: the best teammates you’ve ever had.

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Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.Position Overview We are seeking a senior automation and controls engineer to design and implement cutting-edge robotic automation systems. You will work alongside our robotics and machine learning engineers to deploy the Skild Brain into a wide variety of production settings. You will also help create automated solutions and testing systems to help us scale our robot fleet. Your work will directly impact the large scale integration and adoption of our general purpose robotic brain for practical economic problems around the world. Responsibilities Design, implement, and maintain automation solutions leveraging our AI models for various real-world problems Develop solutions leveraging PLCs, vision sensors, and/or other systems to assist with large-scale robot brain deployment and testing to help us improve our models  Collaborate with robotics and machine learning engineers and scientists to integrate our existing robotic stack into production environments Preferred Qualifications More than 3+ years of industry experience  Degree in ME/EE/Robotics/Controls or equivalent experience. Very comfortable with PLCs, vision, sensors, actuators, and end-to-end component integration Built, launched, and sustained production automation and robotic systems on real lines Knowledge of industrial standards and plant protocols Strong systems-level understanding of the various software modules and their interfaces in typical robotic applications  Base Salary Range$100,000—$300,000 USD

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About ElevenLabsElevenLabs is a research and product company defining the frontier of audio AI. Millions of people use our technology to read articles, voice over videos, and restore voices lost to disability. Leading developers and enterprises worldwide use ElevenLabs to build intelligent agents for support, sales, and education.We launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing the company at $3.3 billion. By September 2025, that valuation doubled to $6.6 billion as we surpassed $200 million ARR in under three years.Our mission is to build the most important audio AI platform in the world, solve AI audio intelligence, and make information accessible in any voice, language, or sound.Our core offerings are our Creative Platform and the Agents Platform, powered by proprietary Text to Speech, Speech to Text, and conversational AI models.We are just getting started. If you want to work hard and create lasting impact, we would like to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location.What we offerInnovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.About the roleThe Design team at ElevenLabs is crafting experiences for the next generation of audio workflows using generative AI. You’ll work in entirely new and unexplored problem spaces, like crafting experiences around voice cloning that will allow people to generate content in realistic voices, languages, and accents, to create universally accessible content, safely. You’ll reimagine how creative teams craft sounds just by describing them, and how they bring it all together in one AI-first generative audio platform. The work here has the potential to revolutionize workflows for creators to media and entertainment, publishing giants, to defining entirely new spaces like conversational AI companies.You will work with our Engineering and AI Research teams to successfully communicate, evolve, and execute a strong product design standard that showcases ElevenLabs as an innovator in the generative AI audio space. You are a crucial component of our company’s growth and product launches through your contributions to short and long-term strategic direction, creating and maintaining high visual standards and a strong focus on user needs. You have an owner’s mentality, taking pride in your work and in your team’s work, and view what you do as a part-owner and builder of ElevenLabs.You'll work closely with Nev Flynn, Austin Malerba, and collaborate closely with our frontend engineers to achieve outcomes.If you love the intersection of design and engineering, as well as having an interest in the business side this could be a great fit. You might be a designer turned engineer, an engineer turned designer, or an ex-founder. What you bringWe do not require any formal experience, certifications, or degrees. Instead, we are seeking enthusiastic product designers who can showcase solving impressively hard problems with artifacts such as past projects and designs. Even directly sharing a rough figma of your work is a great way to show us your craft! We do require:Creative thinking toward establishing and executing on the vision for team initiatives. Challenge the status quo, push innovation and inspire people toward a unified outcome.Efficiently execute to ship products that deliver impact for our business and customers.Partner with the leadership team to successfully communicate concisely across the team and influence product and design outcomes.Will work across the entire business stack and make an impact at different stages of the product: building vision & strategy, ensuring all the loose ends are tied up when executing, and making sure the operational components to support onboarding are in place, not just the productIt is preferred that you can get in the weeds with your engineering partners and make sense of technical constraints, while still pushing forward and maintaining a high design bar and level of executionWork closely with stakeholders across the organization, partnering with Engineering, Customer Support, and Growth to define new products and features and launch themLocationThis role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.#LI-remote

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Our PurposeAt Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. With the rise of the internet, trust in AI has been degraded by a plethora of issues like spam, fraudulent transactions, hate speech, and online abuse. Fiddler enables organizations to get ahead of these issues by building trustworthy, transparent, and explainable AI solutions. Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. Data Science, MLOps, and business teams use Fiddler AI to monitor, explain, analyze, and improve their AI solutions to identify performance gaps, mitigate bias, and drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the “why” and how behind model outcomes.  Our FoundersFiddler AI is founded by Krishna Gade (engineering leadership at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (two-time founder with acquisitions by Samsung and PayPal and product roles at Expedia and Microsoft). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital. Why Join UsOur team is motivated to unlock the AI opaque box and help society harness the power of AI. Joining us means you get to make an impact by helping reduce algorithmic bias and ensure that models in production across many different industries are transparent and ethical.  We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer.  Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including:  2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space. This position will operate on Pacific/Mountain Time Zones👩🏽‍🚀 The Mission: As a Senior Solutions Engineer, you’ll be the trusted advisor who champions Fiddler’s value, showing customers not just what we do, but why it matters. You will be an essential technical bridge between our innovative AI platform, and the needs of our enterprise customers. You will directly contribute to accelerating our revenue growth by building and proving the technical and business value of Fiddler AI in high-stakes sales engagements.🪐 About The Team: We are a fast-paced, high-impact, customer-facing team of empathetic doers, thinkers, and builders who sit at the nexus of Fiddler's product, engineering, sales, and customer success organizations. Our core purpose is to validate the technical feasibility and demonstrate the undeniable business value of Fiddler to our most strategic prospects and partners. Our team is key to Fiddler's reputation as a pioneer in the AI Observability space—an effort that has earned us accolades like the a16z Data50 list and the WEF Technology Pioneer status.Joining Fiddler means getting to be an industry trailblazer in a rapidly innovating AI/ML industry. We value high trust, autonomy, and continuous learning. We’re a highly collaborative, supportive group, always ready to jump in to help a teammate scope a complex Proof of Concept (PoC) or strategize on a challenging sales cycle. Our team culture is built on a shared sense of mission and "startup grit". We treat every challenge as a learning opportunity and thrive on adaptability. Our team is spread throughout the U.S. and India, and we practically have PhDs in Zoom and are fluent in Slack. Good news: your pandemic mic and lighting setup won’t go to waste here. 🚀 What You’ll Do:Increase Revenue Velocity: Close a percentage of qualified high-priority sales opportunities by owning the technical win, from initial presentation to final validation, ensuring the prospect's technical requirements and business value needs are fully met by the Fiddler platform.Ensure Technical Success in PoCs: Successfully facilitate, scope, and deliver Proof of Concepts, resulting in a clear, documented path for customer production deployment and a final presentation that quantifies Fiddler’s value (e.g., $ savings, % reduction in bias, etc.) for executive stakeholders.Drive Advocacy: Cultivate strong, trusted relationships with technical stakeholders, converting them into internal Fiddler advocates and power users who actively champion our platform's adoption within their organizations.Influence Product & Market: Deliver product feedback and market intelligence (e.g., competitive gaps, feature requests) to the Product team on a weekly basis, resulting in actionable product updates, while also contributing to our public-facing market publications, documentation, and FAQs.Champion & Provide: Effectively develop and deliver tailored presentations and sales materials that clearly communicate Fiddler’s value proposition, adapting content and style to diverse customer audiences in the absence of a defined playbook. 🔭 What We’re Looking For:We are looking for someone who brings a blend of technical depth, exceptional evangelism, organization, and relentless drive.Technical & Domain SkillsDomain Proficiency: Proficient understanding of the Machine Learning and Generative AI space, including AI Operations methodologies and tooling.Technical Acumen: Innate love of technology and an ability to easily understand and articulate complex technical concepts, coupled with proven coding experience.Enterprise Experience: A history of demonstrable success in technical sales or solutions at the enterprise level, specifically in a pre-sales environment for a minimum of 3 years.Behavior & Communication SkillsExecutive Persuasion: Superior presentation skills with the highest degree of comfort and confidence speaking with and influencing technical and non-technical executives and IT management.Coachable & Adaptable: Thrives in ambiguity and is comfortable without a full picture or pre-set determiners, demonstrating a high degree of flexibility and a proactive approach to filling in the blanks.Self-Motivated & Initiator: Possesses the autonomy and self-motivation to take ownership of complex sales cycles, proactively seeking out solutions and pushing boundaries ("Hungry") to go above and beyond for the customer and the sales team.Empathetic Listener: Strong communication skills paired with an empathetic and non-judgmental approach to listening, ensuring customer needs are deeply understood before solutions are proposed.Agility and Audience Awareness: Demonstrates the ability to quickly pivot messaging and materials based on audience needs, creating compelling decks and presentations that resonate with stakeholders at all levels, even in a fast-moving environment.Communication & Organization: Clearly convey complex information in a structured, compelling way—both in writing and verbally—while managing multiple priorities, tailoring messages to the audience, and ensuring materials and follow-ups are delivered with accuracy and timeliness.🫱🏼‍🫲🏾 Compensation:Base salary range for this role vary based on location, experience, and qualifications:San Francisco, New York City & Seattle: $190,000-$225,000 OTEThis role is hybrid for Bay Area candidates, requiring 2–3 days per week onsite in our Palo Alto officeOther U.S. Locations: $165,000-$200,000 OTEThe posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location, and other job-related factors.Fiddler is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require special accommodations in order to complete the interviews or perform job duties, please inform the recruiter at the beginning of the process.Beware of job scam fraud! We prioritize candidate safety. Our recruiters use @fiddler.ai email addresses exclusively. In the US, we do not conduct interviews via text or instant message, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be from a different domain about a job offer, please report it as potential job fraud to hr@fiddler.ai.

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About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.Position Overview The use of generative AI to design medicines is reshaping the future of human health. To build the team driving this transformation, we’re looking for a Discovery Partner who can attract and hire world-class AI scientists, research engineers, software engineers, and biomedical AI scientists. In this role, you’ll partner with technical and scientific leaders to design and execute strategies for recruiting the innovators who will redefine how medicines are created. This isn’t traditional biotech recruiting, its talent discovery at the frontier of AI and human health. Key Responsibilities Manage full-cycle recruitment for roles spanning AI/ML research, research engineering, software engineering, and biomedical AI. Develop sourcing strategies that reach into AI research labs, open-source communities, engineering networks, and biomedical science hubs. Partner with hiring managers to define competencies and create compelling job profiles. Represent the company as a talent ambassador at AI/ML and biomedical events. Guide interviewers and teams to run a structured, fair, and rigorous evaluation process. Use recruiting data and analytics to refine search strategies and improve hiring outcomes. Qualifications 8+ years of recruiting experience, with a focus on AI, ML, engineering, or biomedical science roles. Proven success recruiting AI scientists, engineers, and interdisciplinary researchers Familiarity with the AI and biomedical research ecosystem, including major conferences, publishing venues, and academic-to-industry talent flows Familiarity with talent pipelines from GitHub, open-source projects, and leading academic/industry labs. Strong communication and relationship-building skills with technical talent and internal leaders. Data-driven approach with experience using metrics to optimize performance. Passion for generative AI, biomedical innovation, and shaping the future of human health. Compensation Hourly The base pay range for this contract temp position is expected to be $85.00-$125.00 hourly; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience. Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end. TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. XairaTherapeutics is not responsible for any fees related to unsolicited resumes.

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About Celestial AI As Generative AI continues to advance, the performance drivers for data center infrastructure are shifting from systems-on-chip (SOCs) to systems of chips. In the era of Accelerated Computing, data center bottlenecks are no longer limited to compute performance, but rather the system’s interconnect bandwidth, memory bandwidth, and memory capacity. Celestial AI’s Photonic Fabric™ is the next-generation interconnect technology that delivers a tenfold increase in performance and energy efficiency compared to competing solutions. The Photonic Fabric™ is available to our customers in multiple technology offerings, including optical interface chiplets, optical interposers, and Optical Multi-chip Interconnect Bridges (OMIB). This allows customers to easily incorporate high bandwidth, low power, and low latency optical interfaces into their AI accelerators and GPUs. The technology is fully compatible with both protocol and physical layers, including standard 2.5D packaging processes. This seamless integration enables XPUs to utilize optical interconnects for both compute-to-compute and compute-to-memory fabrics, achieving bandwidths in the tens of terabits per second with nanosecond latencies. This innovation empowers hyperscalers to enhance the efficiency and cost-effectiveness of AI processing by optimizing the XPUs required for training and inference, while significantly reducing the TCO2 impact. To bolster customer collaborations, Celestial AI is developing a Photonic Fabric ecosystem consisting of tier-1 partnerships that include custom silicon/ASIC design, system integrators, HBM memory, assembly, and packaging suppliers.ABOUT THE ROLE As Senior Firmware Engineer, you will be a key player in the architecture and the full lifecycle development of an AI platform system, including requirements, design, code, and test. In this role, you will be part of a team developing next generation AI/ML solutions using the Celestial AI Photonic Fabric Architecture. You will be responsible for developing production-grade firmware for Celestial AI’s photonic fabric product lineup and developing firmware APIs for resource management and optimization. You will collaborate closely with hardware and software teams to implement the communication management software for different Photonic Fabric use cases.   ESSENTIAL DUTIES AND RESPONSIBILITIES   Demonstrate best practices in software development and documentation to deliver high-quality software on tight schedules while meeting all requirements. Actively engage in code reviews, discussions to share knowledge, and improve code quality Participate in gathering technical requirements, contributing to firmware and software design specifications Provide support to both internal and external SW and HW development teams Provide guidance on test plans for lab characterization once design comes back from fab   QUALIFICATIONS   Bachelor’s degree with 8+ years of experience, or Master’s degree with 6+ years of experience in Computer Science, Electrical Engineering, Information Technology or a related technical field. At least 5 years of hands-on experience in firmware or embedded software development. Deep proficiency in C (required) and/or C++ (highly desired) for embedded systems. Demonstrated experience with microcontroller architectures (e.g., ARM Cortex-M/R/A, ESP32, RISC-V) and their peripherals. You understand the nuances of clocking, interrupts, DMA, and memory-mapped registers. Proven ability to debug complex hardware/firmware issues on the bench using: In-circuit debuggers (JTAG/SWD) with GDB. Oscilloscopes: Experience reading signal waveforms, verifying timing, and identifying glitches. Logic Analyzers: For decoding digital bus traffic (SPI, I2C, UART). Multimeters/Power Supplies: For basic electrical troubleshooting. Experience in writing bare-metal drivers and working directly with device registers. Familiarity with version control systems (Git preferred) and bug tracking tools. Strong problem-solving skills with an investigative, "get to the bottom of it" mindset. Excellent communication skills, both written and verbal, for collaborating with hardware, QA, and software teams.     LOCATION: Santa Clara, CA   For California Location: As an early stage start up, we offer an extremely attractive total compensation package inclusive of competitive base salary, bonus and a generous grant of our valuable early-stage equity. The target base salary for this role is approximately $185,000.00 - $225,000.00. The base salary offered may be slightly higher or lower than the target base salary, based on the final scope as determined by the depth of the experience and skills demonstrated by candidate in the interviews.We offer great benefits (health, vision, dental and life insurance), collaborative and continuous learning work environment, where you will get a chance to work with smart and dedicated people engaged in developing the next generation architecture for high performance computing. Celestial AI Inc. is proud to be an equal opportunity workplace and is an affirmative action employer.   #LI-Onsite

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At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.About the roleAs a Field Engineer – Partnerships, you’ll work directly with the world’s most influential technology partners (Google Cloud, Azure etc) to drive adoption of Ray and Anyscale, accelerate innovation, and deliver measurable business outcomes.In this role, you will be the strategic link between partner and joint customer teams, acting as a trusted advisor who bridges technical expertise with business impact. You’ll scope and deliver solutions that showcase the unique value of Anyscale, while shaping how large-scale cloud and AI infrastructure is adopted in the enterprise. By channeling insights from our partners back to our product and engineering teams, you’ll help guide Anyscale’s roadmap and ensure we are solving the most critical challenges faced by the teams who are innovating with AI.What You’ll DoCollaborate with key cloud partners and their customers to lead proof-of-value engagements, deployments, and enterprise-scale adoptionTranslate business objectives into technical solutions that demonstrate clear ROI and strategic impactDevelop and deliver high-impact demos, reference architectures, and enablement programs tailored to partner and customer needsAct as a trusted advisor across both technical and executive audiences, ensuring confidence in Anyscale and RayWork closely with sales, product, and engineering to accelerate deals, unblock challenges, and drive long-term success with partnersProvide structured feedback from the field to influence Anyscale’s product direction and go-to-market strategy What We’re Looking For5+ years of customer-facing experience in field engineering, forward deployed engineering, solutions architecture, or software engineeringStrong technical foundation with Python, Azure, and AKS and proven ability to apply it to real-world use casesDemonstrated success driving enterprise adoption of complex SaaS, infrastructure, or ML/AI solutionsExperience engaging both executive and technical stakeholders, with the ability to tailor communication to each audienceA customer-first mindset with a record of delivering measurable business impactWillingness to travel frequently and spend extended time embedded with partners and customersAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the Role:Decagon is seeking a Director of Solutions Engineering to build and lead our growing pre-sales solutions engineering function. This role combines technical depth, enterprise consultative engagement, and team leadership, enabling Decagon to drive adoption of our AI-native platform across some of the world’s most complex enterprises.As the manager of the Solutions Engineering team, you will be responsible for hiring, mentoring, and developing a high-performing team of Solutions Architects. You’ll establish scalable processes and best practices for pre-sales engagements, ensure technical excellence in customer conversations, and represent Decagon as a senior technical leader on key opportunities.This role is highly cross-functional: you will partner closely with Sales, Product, and Engineering to design strategies that align technical capabilities with customer outcomes. You will also bring strong executive presence to customer engagements, guiding both technical and business stakeholders through how Decagon integrates into their technology environments and drives measurable business value.What You'll DoHire, mentor, and manage a team of Solutions Architects, providing technical guidance, coaching, and career development.Establish and operationalize best practices for pre-sales solutioning, proof-of-concepts, and technical validation.Partner with Sales leadership to co-develop go-to-market strategies and align technical execution with business goals.Engage directly with a select portfolio of strategic enterprise prospects and customers, guiding them through discovery, solution design, and ROI validation.Ensure your team delivers compelling demonstrations, prototypes, and solution architectures tailored to customer needs.Foster cross-functional collaboration with Product and Engineering to bring customer insights into roadmap priorities.Serve as an executive-level technical representative in customer meetings, technical workshops, and industry events.Define scalable processes and assets to support team efficiency, repeatability, and long-term growth.Stay current on enterprise AI adoption patterns, integration strategies, and the evolving competitive landscape.What You'll Bring7+ years of experience in pre-sales technical roles such as Solutions Architect, Sales Engineer, or equivalent.3+ years of experience managing or leading pre-sales/solutions engineering teams.Proven success working with large enterprise customers and navigating complex buying cycles.Strong technical proficiency with enterprise AI deployments, API integrations, and production system architectures.Excellent communication skills, with the ability to engage executives, business stakeholders, and technical teams with equal credibility.A collaborative, organizational mindset with a track record of building scalable teams and processes.Ability to thrive in fast-moving, high-growth environments with significant ambiguity.Strong executive presence and consultative skills, capable of establishing trust and credibility with senior leaders.Even Better If You HaveExperience in AI/Generative AI pre-sales engineering or enterprise deployments.Familiarity with enterprise architecture design, developer tooling, SDKs, and integration patterns.Background in software engineering or systems engineering, enabling you to dive deeply into technical discussions.Experience integrating telephony infrastructure or other complex enterprise systems.Knowledge of LLM architecture, prompt engineering, evaluation, and AI-powered solution design.Thought leadership experience through conferences, webinars, or published technical content.Benefits:Comprehensive medical, dental, and vision coverage.Flexible “take what you need” vacation policy.Daily lunches, dinners, and snacks provided in-office.

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About HappyRobotHappyRobot is the AI-native operating system for the real economy—a system that closes the circuit between intelligence and action. By combining real-time truth, specialized AI workers, and an orchestrating intelligence, we help enterprises run complex, mission-critical operations with true autonomy.Our AI OS compounds knowledge, optimizes at every level, and evolves over time. We’re starting with supply chain and industrial-scale operations, where resilience, speed, and continuous improvement matter most—freeing humans to focus on strategy, creativity, and other high-value tasks. You can learn more about our vision in our Manifesto.HappyRobot has raised $62M to date, including our most recent $44M Series B in September 2025. Our investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base10—partners who believe in our mission to redefine how enterprises operate. We’re channeling this investment into building a world-class team: people with relentless drive, sharp problem-solving skills, and the passion to push limits in a fast-paced, high-intensity environment. If this resonates, you belong at HappyRobot.Role OverviewAs a Deployment Strategist, your mission is to connect the dots between user needs, data insights, and product capabilities to help our customers unlock value. You’ll dive deep into our customer operations, partner directly with end users and decision-makers, and shape how HappyRobot’s technology is applied to their most critical challenges.What You’ll doPartnering with customers to understand their workflows, goals, and pain points—often embedding directly with their teams.Collaborating with Forward Deployment Engineers to scope, prototype, and deliver solutions powered by HappyRobot’s platform.Identifying and interpreting key datasets that drive customer decision-making, and working to integrate them into robust, scalable pipelines.Designing and refining user workflows that solve meaningful problems and scale across teams and functions.Leading training and onboarding sessions, ensuring new users are set up for success and our tools have lasting impact.Presenting findings and strategy to stakeholders at all levels—from frontline operators to executives.Driving customer expansion by scoping new use cases and shaping how we grow our footprint within organizations.What We’re Looking ForWe’re looking for analytical, product-savvy problem solvers who thrive in ambiguity and care deeply about user impact. You might be a great fit if:You have a strong intuition for how software can solve real-world problems.You're a compelling communicator and can influence technical and non-technical audiences alike.You're excited to work shoulder-to-shoulder with customers, from the frontlines to the boardroom.You love diving into messy data, complex systems, and open-ended challenges—and delivering clarity and structure.Why join us?Opportunity to work at a high-growth AI startup, backed by top investors.Fast Growth - Backed by a16z and YC, on track for eight figure ARR.Ownership & Autonomy - Take full ownership of projects and ship fast.Comprehensive Benefits - Healthcare, dental, vision coverage.Top-Tier Compensation - Competitive salary + equity in a high-growth startup.Work With the Best - Join a world-class team of engineers and builders.Our Operating Principles Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching. We are “majos” Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win. First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.For more information, visit https://www.happyrobot.ai/privacy-policyBy submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

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About Brain Co.Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley’s leading builders — including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We build and deploy AI platforms and applications for the world’s most important institutions — governments, healthcare systems, and Fortune 50 enterprises — solving problems where manual work and inefficiency still dominate.Our progress so farAutomated construction permitting for a sovereign government → 80% faster, unlocking $400M+ in valueOptimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in lossesStreamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin workRaised a $30M Series A from top investorsBuilt a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and DatabricksAt Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.About The RoleAs an AI Platform Engineer at Brain Co., you will play a pivotal role in building and deploying state-of-the-art backend systems to automate various real-world problems. You will work directly with the customer to develop the product spec and building from zero. From designing robust and scalable architectures to optimizing performance and reliability, you will turn research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.In This Role, You Will:Innovate and Deploy: Design, develop, and deploy advanced backend solutions that integrate AI to tackle real-world problems, particularly in automating complex, manual processes in government and industrial sectors. Utilize modern backend frameworks, microservices architecture, and cloud computing to build applications that apply AI to intricate optimization challenges.Make a Big Impact: Interact directly with key customer stakeholders to apply pioneering AI solutions while working alongside experienced ex-founders, government officials/ministers, AI researchers, and engineers. Understand complex business challenges and deliver backend solutions powered by AI. Join a dynamic team where ideas are exchanged freely, and creativity flourishes. You will wear many hats: software development, system architecture, product management, and interpersonal skills.Optimize and Scale: Build scalable data pipelines, integrate industrial sensor networks, optimize application performance and reliability, and prepare systems for production. Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems.Learn and Lead: Stay abreast of the latest developments in backend engineering and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices. Mentor junior engineers and lead by example.Make a Difference: Monitor and maintain deployed applications to ensure they continue delivering value across various governments worldwide. Work directly with customer engineers and SMEs to develop and tune applications that optimize their workflows and deliver tangible upside. Your work will directly impact how AI benefits individuals, businesses, and society at large.You Might Thrive In This Role If You:Have 5+ years of experience and an appetite for working directly with the customer to develop the software spec and build from zeroAre experienced with backend technologies, microservices, and cloud platforms.Have demonstrated experience with modern backend frameworks, cloud compute and storage, RESTful APIs, and database management systems.Possess a strong foundation in software design principles, data structures, and algorithms.Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.Have direct experience working with real-time streaming sensor data and time series databases and processing pipelinesCan work collaboratively with cross-functional teams.Thrive in fast-paced environments where priorities or deadlines may compete.Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.Hold a Bachelor’s/Master’s degree in Computer Science, Software Engineering, or a related field.BenefitsCompetitive salary plus equityDaily lunchesCommuter benefits401(k)Medical, Dental and VisionUnlimited PTOWhy Join UsShip quickly, iterate constantly and see your work deployed at global scaleCollaborate with industry veterans from Tesla, DeepMind, Databricks, and moreAccelerate your career with ownership based on impact, not tenureEarn competitive compensation + meaningful equity in a high-growth companyThrive in a culture built on speed, curiosity, and impactIf you want to see your work deployed at scale with real impact, Brain Co. is the place to build.

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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: 2+ 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  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: London, United Kingdom This role is remote #LI-Remote

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Who we are We are building the next-generation AI-powered platform and web application for easy and fast creation of audio and video content. Growing this revolutionary product involves unique technical challenges and requires solving hard and complex problems. The Core Team builds features to help our users find each other and use Descript to create and communicate their ideas with the world. We own critical systems ancillary to the business, such as access control, team management, project organization, usage tracking, payments, and more. We are looking for a Staff full-stack Software Engineer to help us expand these foundational systems. What you’ll do: Take point on critical surface areas and help scale them to the next level Own building and shipping features across all levels of the stack (frontend and backend) Write high-quality testable code that's functional, long term maintainable and performant Collaborate with EPD on crafting great user experiences Integrate systems to power Descript in smart ways What you bring: Full-stack product engineer. It’s ok if you don’t love CSS, but you should be comfortable integrating and debugging functionality and logic end to end and think about systems holistically. Well versed in web development and associated devtools Technologies: Typescript, REST API development, relational DBs Track record evolving and re-architecting complex systems to accommodate growth while maintaining stability Comfortable walking off the beaten path, at the edge of systems Competent thinking about security risks & mitigations Experience integrating 3rd party services Strong at testing and debugging Solid collaboration and communication Growth mindset Nice to have: AI curious: You've explored AI tools, recognize them as useful for specific situations, and know how to use them effectively while acknowledging their limitations Experience building account management features such as Invite flows, domain discovery, team management Enterprise features like audit logs, SSO and SCIM Opinions/experience with authz at scale: roles, permissions, RBAC, FGA At our current size and stage, we embrace a flat organizational structure and value the expertise and contributions of every team member. As such, we have a unified job title for our engineering roles where everyone, including those with Staff-level scope, is considered a Software Engineer internally.  The base salary range for this role is $215,000-$270,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above. About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital).  Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles.  For those who are remote, we have a handful of opportunities throughout the year for in person collaboration.  For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.  Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.