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Join Figma as a Technical Program Manager specializing in AI Performance, where you will lead cutting-edge projects that enhance the performance of AI-driven technologies. You will collaborate with cross-functional teams to define project scopes, establish timelines, and drive initiatives that push our platform to new heights. Your expertise will be crucial in ensuring that our AI solutions are not only innovative but also efficient and scalable.
Figma is a leading design platform that empowers teams to create, collaborate, and share their ideas in real-time. Our mission is to make design accessible to everyone, and we are dedicated to building tools that promote creativity and efficiency in the design process. Join us and be a part of a dynamic team that is transforming the way designers and developers work together.
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Zip Co. builds an AI-powered procurement platform used by major organizations to streamline purchasing and manage spending at scale. The company supports over $500 billion in managed spend and has saved clients more than $8 billion. Customers include T-Mobile, OpenAI, AMD, Mars, and Dollar Tree. Zip’s team brings experience from Apple, Airbnb, Meta, and lead…
Anthropic is building AI systems with a focus on reliability, interpretability, and safety. The company brings together researchers, engineers, policy specialists, and business leaders to ensure AI benefits users and society. Role overview The Senior Manager of Infrastructure Lease Accounting will play a key role in daily accounting operations for Anthropic’s infrastructure lease portfolio. This portfolio underpins a $50 billion investment in American computing infrastructure. As Anthropic grows, this position helps maintain financial accuracy and operational scalability. This is a chance to shape how the company manages and understands its expanding lease commitments. The Senior Manager will work with teams across the organization to ensure infrastructure leasing supports both research and commercial objectives. What you will do Oversee the full accounting cycle for Anthropic’s infrastructure lease portfolio Work closely with Data Center Operations, Real Estate, Finance, and Legal teams Use advanced technical accounting knowledge, with a focus on ASC 842 Develop and improve processes, controls, and systems for the leasing function Location This position is based in San Francisco, CA or Seattle, WA.
About Our TeamThe Product Policy team at OpenAI plays a crucial role in developing, implementing, and communicating the policies that govern the use of our cutting-edge services, including ChatGPT, Codex, and the OpenAI API. In this cyber-focused position, you will be instrumental in shaping how OpenAI supports legitimate cybersecurity efforts while mitigating risks of misuse associated with our products.This role resides at the intersection of artificial intelligence capability, cybersecurity best practices, and abuse prevention. You will empower defenders to utilize OpenAI’s tools effectively while establishing clear protocols to guard against malicious cyber activities.Role OverviewAs a Cyber Policy Manager, you will leverage your expertise in cybersecurity and policy to inform how OpenAI assesses, launches, and regulates capabilities pertinent to cybersecurity. Collaborating closely with cross-functional teams, including product, engineering, research, safety, security, legal, operations, and go-to-market, you will translate intricate cyber risks into actionable product policies, implementation standards, and enforcement strategies.This role requires a comprehensive understanding of both the defender and attacker perspectives: how cybersecurity professionals investigate, detect, triage, and respond to threats, as well as how adversaries might exploit AI systems for harmful purposes. Ideal candidates will have in-depth knowledge in one or more cyber domains, such as vulnerability analysis, incident response, threat intelligence, or security tooling, complemented by strong communication skills and a knack for translating technical risks into sustainable rules and processes.As OpenAI continues to expand, you will play a pivotal role in aligning diverse teams and stakeholders in a dynamic and often ambiguous environment.Your ResponsibilitiesAdvise technical and product teams on cyber policy matters, drawing on a profound understanding of model capabilities, product architecture, potential abuse pathways, and the practical requirements of cybersecurity teams.Assess cyber-relevant risks and formulate policies that uphold the integrity and security of OpenAI’s offerings.
About GranicaGranica is a pioneering AI research and infrastructure company dedicated to creating reliable and steerable representations of enterprise data.We build trust through Crunch, a policy-driven health layer designed to keep extensive tabular datasets efficient, reliable, and reversible. From this foundation, we are developing Large Tabular Models—systems that learn cross-column and relational structures to provide trustworthy answers and automation, complete with built-in provenance and governance.Our MissionThe current limitations of AI are not solely due to model design but also to the inefficiencies of the data that supports it. At scale, every redundant byte, poorly organized dataset, and inefficient data path contributes to significant costs, latency, and energy waste.Granica’s mission is to eliminate these inefficiencies. We leverage cutting-edge research in information theory, probabilistic modeling, and distributed systems to create self-optimizing data infrastructures that continuously enhance how information is represented and utilized by AI.Our engineering team collaborates closely with the Granica Research group led by Prof. Andrea Montanari from Stanford University, merging advancements in information theory and learning efficiency with large-scale distributed systems. We believe that the next major breakthrough in AI will stem from innovations in efficient systems, rather than simply larger models.What You Will CreateGlobal Metadata Substrate. Design and refine the global metadata and transactional substrate that enables atomic consistency and schema evolution across exabyte-scale data systems.Adaptive Engines. Architect systems that self-optimize, reorganizing and compressing data according to access patterns, achieving unprecedented efficiency improvements.Intelligent Data Layouts. Innovate new encoding and layout strategies that challenge the theoretical limits of signal per byte read.Autonomous Compute Pipelines. Spearhead the development of distributed compute platforms that scale predictively and maintain reliability even under extreme load and failure conditions.Research to Production. Partner with Granica Research to transform advances in compression and probabilistic modeling into production-ready, industry-leading systems.Latency as Intelligence. Propel systems forward by optimizing for latency as a key aspect of intelligence.
About GranicaGranica is an innovative AI research and infrastructure firm dedicated to creating reliable and steerable representations of enterprise data.We build trust through our product Crunch, a policy-driven health layer that ensures large tabular datasets remain efficient, reliable, and reversible. On this solid foundation, we are developing Large Tabular Models—systems designed to learn cross-column and relational structures in order to provide trustworthy answers and automation with inherent provenance and governance.Our MissionAI is currently hampered not only by the design of models but also by the inefficiencies of the data that supports them. Every redundant byte, poorly organized dataset, and inefficient data pathway contributes to significant costs, latency, and energy waste as we scale.Granica aims to eliminate these inefficiencies. We merge cutting-edge research in information theory, probabilistic modeling, and distributed systems to craft self-optimizing data infrastructures: systems that consistently enhance the representation and utilization of information by AI.Our engineering team collaborates closely with the Granica Research group led by Prof. Andrea Montanari of Stanford University, bridging advancements in information theory and learning efficiency with large-scale distributed systems. Together, we firmly believe that the next major advancement in AI will stem from breakthroughs in efficient systems rather than merely larger models.Your ContributionsGlobal Metadata Substrate: Design a transactional and metadata substrate that facilitates time-travel, schema evolution, and atomic consistency across massive petabyte-scale tabular datasets.Adaptive Engines: Develop systems that autonomously reorganize data, learning from access patterns and workloads to maintain peak efficiency without the need for manual tuning.Intelligent Data Layouts: Optimize bit-level organization (including encoding, compression, and layout) to maximize signal extraction per byte read.Autonomous Compute Pipelines: Create distributed compute systems that scale predictably, adapt to dynamic loads, and ensure reliability under failure conditions.Research to Production: Apply new algorithms in compression, representation, and optimization that emerge from ongoing research. We encourage opportunities to publish and open-source your work.Latency as Intelligence: Design systems that inherently minimize latency as a measure of intelligence.
Echo Neurotechnologies
Company OverviewEcho Neurotechnologies is a pioneering startup in the Brain-Computer Interface (BCI) sector, dedicated to advancing innovation through state-of-the-art hardware engineering and artificial intelligence solutions. Our goal is to develop revolutionary technologies that empower individuals with disabilities, enhancing their autonomy and overall quality of life.Team CultureBecome a part of our tight-knit, passionate team of skilled professionals. Our dynamic early-stage environment provides the chance to shape critical decisions that can have a meaningful and lasting impact. We prioritize continuous learning and development, encouraging cross-functional collaboration where every contribution is essential to our collective success.Job DescriptionWe are on the lookout for a seasoned Software Engineering Manager to oversee the development of a data-driven application platform and its integration with machine learning workflows, clients, and devices. You will guide a dedicated team in planning and executing complex projects, while also shaping our technical strategy and daily operations. Your contributions will play a crucial role in transforming research-validated neurotechnology into reliable, commercially viable product features.Role ResponsibilitiesImplement and promote engineering best practices that prioritize code quality, modularity, usability, and long-term adaptability.Mentor and nurture engineers through consistent feedback, coaching, and technical guidance, along with people-management responsibilities.Design and develop key modules for our server-side product and its integration points.Collaborate closely with Quality and Regulatory teams to create high-quality technical documentation.Convert validated research concepts into robust, production-ready software.
FutureSight is on the lookout for a dynamic and visionary Co-Founder and CEO to spearhead the development of a cutting-edge AI-enabled reverse logistics orchestration platform. In today's commercial landscape, reverse logistics—which encompasses all activities post-sale—has emerged as one of the most significant yet least managed cost centers. With high volumes of returns, warranties, exchanges, and recoveries, organizations continue to rely on disjointed tools, spreadsheets, and manual processes to navigate these workflows.Our operations, finance, and customer service teams expend substantial resources enforcing policies, tracking evidence, managing returns, and reconciling outcomes, often lacking visibility into value loss or cash recovery timelines. This inefficiency results in margin erosion, prolonged cycle times, and increased operational burdens as workflows continue to grow.We are committed to building an AI-first orchestration layer that seamlessly connects customers, fulfillment networks, and finance systems. Our platform will enforce policies at intake, capture evidence at the source, identify the optimal return pathways, and monitor outcomes until financial closure—without disrupting existing ERPs, WMSs, or commerce platforms.This role presents a unique opportunity to shape infrastructure within a $700 billion+ global market, influencing how contemporary organizations manage costs, risks, and recovered value post-sale.As the Founding CEO, you will:Attract and secure customers—lead pilot initiatives, refine pricing strategies, and validate customer retention and expansion.Oversee product development—collaborate with FutureSight’s product and engineering teams to launch Version 1.Drive capital acquisition—lead the seed funding round with our initial investment efforts.Assemble your team—recruit your founding members and establish a strong cultural foundation.
GoFundMe
Join us in making a difference! We’re hiring! At GoFundMe, we pride ourselves on being the world’s leading platform dedicated to empowering individuals and communities to support one another. By bringing together people and nonprofits, we facilitate a safe and easy way for individuals to seek and provide help, having collectively raised over $40 billion since our inception in 2010. We are in search of a talented Data Science Manager who will architect and spearhead the future of marketing data science at GoFundMe. This pivotal role involves developing and scaling applied data science and AI frameworks that enable our Marketing, Growth, and Finance teams to make informed, ROI-positive investment choices. You will function as both a leader and mentor within a skilled team of data scientists, driving innovation while ensuring high standards of delivery. Candidates for this role must be located in the San Francisco Bay Area, with an in-office presence required three times a week. Your Responsibilities: Establish a robust AI and data science infrastructure: Design scalable data pipelines, reusable modeling frameworks, and reliable experimentation platforms to support critical marketing and growth decisions. Lead comprehensive data science and AI initiatives: Oversee projects from initial requirements gathering through to feature engineering, modeling, validation, deployment, and ongoing monitoring. Set best practices: Advocate for standards in model governance, reproducibility, data quality, and system reliability, ensuring sustainable and trustworthy AI integration. Innovate in marketing science: Utilize advanced methodologies such as causal inference, uplift modeling, multi-touch attribution, and media mix modeling to derive insights and enhance spending effectiveness. Enhance forecasting and ROI modeling: Develop budget allocation frameworks and predictive models that inform long-term planning and marketing efficiency. Collaborate across departments: Partner with leaders from Marketing, Growth, Product, Engineering, and Finance to synchronize analytics initiatives with revenue objectives. Invest in talent development: Mentor and guide a high-performing team of data scientists, fostering a culture of technical excellence, curiosity, and practical innovation. Push the boundaries of applied AI in marketing: Assess emerging generative and predictive AI techniques for audience segmentation, creative optimization, personalization, and enhancing campaign efficiency.
About UsAt Sierra, we are on a mission to revolutionize customer experiences for businesses through innovative AI solutions. Our headquarters is in the vibrant city of San Francisco, with expanding offices in key global locations including Atlanta, New York, London, France, Singapore, and Japan.Our core values—Trust, Customer Obsession, Craftsmanship, Intensity, and Family—serve as the foundation of our culture and drive our commitment to excellence in every aspect of our work.Our visionary co-founders, Bret Taylor and Clay Bavor, bring a wealth of experience from leading roles at top tech companies, including Salesforce and Google, ensuring our platform is at the cutting edge of technology.Your RoleTeam Development: Spearhead the growth and excellence of a high-performing Sales Engineering team through mentorship, project management, and regular performance assessments, fostering an environment of continuous professional development.Technical Expertise: Serve as a technical authority, guiding your team in crafting impactful demos and proofs of concept for Sierra’s platform, while effectively addressing customer queries throughout the sales process.Collaborative Strategies: Collaborate closely with Sales, Product, and Agent Engineering teams to establish best practices and scalable processes that enhance customer engagement and operational efficiency.Customer Engagement: Lead initial technical discussions with prospective clients, leveraging insights to anticipate and address their needs, thereby facilitating the adoption of Sierra’s advanced AI solutions.Qualifications5-7+ years of experience in Sales Engineering, Solutions Engineering, or technical sales roles, with a minimum of 3 years in a leadership position.Proven track record in managing and developing technical teams, with strong skills in mentoring and performance evaluation.Exceptional communication and interpersonal skills, with the ability to engage effectively with cross-functional teams and customers.Deep understanding of AI technologies, customer engagement, and solution selling.
Join Hive as a People Operations Manager and play a pivotal role in shaping our employee experience and internal operations. We seek a dynamic and self-driven professional to oversee the complete employee life-cycle, from onboarding to ongoing support. Collaborate across departments to foster a culture of innovation, growth, and well-being for our diverse global workforce. Your contributions will directly influence Hive's next growth phase, as we continue to empower organizations with cutting-edge AI solutions.
At Crusoe, we are on a mission to revolutionize the future of energy and intelligence. We are building a foundation for a world where ambitious AI projects can flourish, all while prioritizing sustainability, speed, and scalability.Join us in leading the AI revolution with innovative technology at Crusoe. Here, you will be at the forefront of transformative cloud infrastructure, driving impactful innovation and collaborating with a talented team committed to responsible practices.About This Role:As a Pre-Construction Manager at Crusoe.ai, you will play a critical role in the development of our large-scale data center initiatives. You will oversee all pre-construction processes, ensuring that projects are strategically planned, budgeted, and executed in a timely manner. This role requires a strategic mindset, extensive construction management experience, and the ability to collaborate with various stakeholders. You will initiate the groundwork for each project, setting the framework for efficient construction execution.A Day In The Life:Lead and manage the pre-construction phase from initial design to the start of construction.Create and uphold comprehensive project schedules, budgets, and risk assessments.Collaborate with architects, engineers, subcontractors, and suppliers to ensure project alignment.Perform detailed site evaluations and feasibility assessments.Oversee the creation of bid packages and manage the bidding process.Negotiate contracts and foster relationships with vendors.Ensure compliance with all applicable building codes, regulations, and environmental standards.Provide regular updates and progress reports to senior management.Proactively identify and address potential project risks.Manage the permitting process and secure all necessary approvals.Work closely with the construction team to ensure a smooth transition from pre-construction to construction stages.You Will Thrive in this Role if:You have a solid history of effectively managing pre-construction phases for large-scale construction projects.
Elite Solutions
Join our dynamic team at Elite Solutions as we expand our AI-driven initiatives! We are in search of talented developers, engineers, and researchers who are eager to shape the future of artificial intelligence systems.Whether your expertise lies in creating user-friendly interfaces, developing robust back-end systems, training advanced AI models, or designing scalable infrastructure, we have a place for you!If you're unsure where your skills best fit, don't worry—we'll provide guidance. Explore the roles below and let us know which aligns with your interests and abilities.1. Front-End DeveloperResponsible for designing and implementing engaging user-facing applications and dashboards. Key Skills: React, JavaScript/TypeScript, TailwindCSS, Figma, UX principles.2. Back-End DeveloperTasked with building APIs and server-side systems that drive AI tools and data pipelines. Key Skills: Python, FastAPI, Go, SQL/NoSQL, REST/GraphQL.3. Full-Stack EngineerDevelops complete applications that link front-end interfaces with back-end AI logic. Key Skills: Combination of Front-End and Back-End skills, API design, CI/CD.4. Machine Learning EngineerResponsible for deploying, fine-tuning, and maintaining AI models in production. Key Skills: PyTorch/TensorFlow, MLOps, model serving, inference optimization.5. Data EngineerBuilds scalable data pipelines and manages datasets essential for training and evaluation. Key Skills: Apache Airflow, Spark, SQL, Python, BigQuery, ETL systems.6. Research EngineerBridges the gap between AI theory and practical application by developing prototypes. Key Skills: Python, ML libraries, LLM experimentation, rapid prototyping.7. DevOps / Site Reliability Engineer (SRE)Ensures the reliability, monitoring, and automation of AI systems. Key Skills: Kubernetes, Docker, Prometheus, CI/CD, Python/Bash.8. Infrastructure EngineerDesigns and maintains the cloud infrastructure that supports AI training and deployment. Key Skills: AWS/GCP, Terraform, distributed systems, cost optimization.9. Security EngineerResponsible for securing the platforms and services that support our AI stack. Key Skills: Cloud security, identity management, penetration testing, audits.10. AI Researcher (LLM / CV / RL)Conducts experiments to advance the science behind our models, including LLMs, computer vision, and reinforcement learning. Key Skills: Research publications, advanced ML theory, model development, experimentation.
Join the Bretton AI TeamBretton AI stands at the forefront of innovation, providing an advanced AI agent platform tailored for the financial services sector. Trusted by industry leaders such as Robinhood, Mercury, and Gusto, we specialize in automating crucial operations, particularly in anti-money laundering and counter-terrorism investigations.With over $95 million raised from prestigious investors including Greylock, Y Combinator, and Thomson Reuters Ventures, our headquarters is situated in the heart of downtown San Francisco. Our talented team comprises individuals from renowned organizations such as SpaceX, Google, Netflix, and Stripe, bringing a wealth of experience to our mission.Your Impact as an Enterprise Account ExecutiveAs an Enterprise Account Executive, you will play a pivotal role in introducing our cutting-edge AI solutions to banks and fintech companies combatting financial crime globally. In a rapidly evolving environment shaped by regulatory changes and technological advancements, you will manage the entire sales process for our most significant accounts, collaborating closely with decision-makers in compliance, engineering, and risk management.This essential role within our Go-To-Market (GTM) team offers you the opportunity to work alongside our founding executives, helping to refine our market strategy, acquire new clients, and expand our footprint within major financial institutions.
Join Code Metal AI's elite team, comprised of talents from MIT, OpenAI, and other esteemed organizations, as we lead the charge in pioneering large language models (LLMs) and advanced code generation techniques. Our innovative projects engage with top-tier chip manufacturers, leveraging cutting-edge AI to tackle significant, real-world challenges.This position serves as a critical link between two essential domains:Production Responsibilities:Establish and uphold resilient distributed training systems utilizing PyTorch (2+ years of experience required).Design and execute scalable data curation and quality assurance pipelines to ensure high-quality training datasets.Create orchestration tools that streamline complex workflows for large-scale AI model training and evaluation.Research Responsibilities:Lead the innovation in developing evaluation frameworks and reinforcement learning solutions, emphasizing recent advancements in Reinforcement Learning with Human Feedback (RLHF).Engage with cutting-edge research through open-source contributions and potential publications, focusing on applying RLHF to LLMs, particularly in code generation tasks.Qualifications:Minimum of 2 years of experience in distributed training, preferably using PyTorch.Strong foundation in reinforcement learning, with recent RLHF experience being highly preferred.Demonstrated ability to construct data curation and quality assurance pipelines.Experience in developing evaluation frameworks.Ideally, familiarity with both data pipeline and orchestration aspects.Eligibility for TS/SCI clearance.Preferred Qualifications:Contributions to open-source AI or ML initiatives.Published research or experience in relevant fields.Hands-on experience implementing RLHF to LLMs, especially for code generation.Experience in large-scale synthetic data generation.Benefits:Comprehensive healthcare plan with 100% premium coverage, including medical, dental, and vision.401k plan with 5% matching contribution.Unlimited Paid Time Off, along with Sick leave and Public Holidays.Flexible hybrid work arrangement.Relocation assistance for eligible employees.
Descript
About the Role Descript is at the forefront of transforming traditional editing practices by seamlessly integrating AI technologies throughout the content creation journey—encompassing recording, transcription, editing, and sharing. Our goal is to simplify and accelerate the production of high-quality content. We are seeking an Engineering Manager to spearhead our Agent team, dedicated to developing the premier Agentic Video Editor, Underlord. This dynamic field presents unique technical challenges in delivering high-quality, cost-effective Agents to navigate the multimodal complexities of video content. You will oversee a team of 5-6 software engineers, report directly to the Head of AI Engineering, and collaborate closely with various teams across engineering, product development, design, and AI research. Agent-driven editing is a key focus for our company, and this role demands exceptional product insight and strategic partnership skills as the team innovates high-quality experiences in Agentic Video Editing. About the Team: Since launching in Open Beta in July 2025, Descript's Agent team has been tirelessly enhancing the user experience for chat-based editing. We are continually expanding our agent's capabilities and refining our infrastructure to keep pace with advancements in AI models. The Agent product engineering team maintains a close partnership with our AI Research team to fulfill our mission of making video editing accessible to everyone. Your management peers and team members are based in San Francisco, New York, and distributed across the United States and Canada. This position is ideal for you if you are passionate about advancing in the following areas: Creating an unparalleled product experience for agentic video editing interactions (e.g., optimizing prompt templates and key user workflows, addressing user feedback, and implementing core product features like chat history). Leading rapid, data-driven experiments to enhance the quality of the video editing agent (e.g., conducting model/routing experiments, pricing tests, and investing in core agent functionalities). Enhancing the Agent Quality flywheel to prioritize our development roadmap by utilizing user data and feedback to improve evaluation and product analysis processes. Collaborating with AI Research to outline the roadmap for innovative Agent enhancements (e.g., exploring novel context management strategies and developing new models). What You'll Do: Your primary focus in 2026 will be to elevate quality as we transition from beta to General Availability (GA) and deliver significant impact for the business.
Join Our Innovative Team at SazabiAs we approach the year 2026, the tech world faces a looming "infinite software crisis." How do we effectively support, maintain, and manage the vast surge in application development?Our solution is Sazabi: the AI-native observability platform designed specifically for dynamic engineering teams.Sazabi empowers teams to inquire about their production systems in straightforward language, visualize operations automatically, and identify root causes up to 10 times faster. Forget about tedious instrumentation, complex dashboard setups, and alert configurations—just get the answers you need.We are proud to be supported by innovators from industry-leading AI companies, including Vercel, Graphite, Daytona, Browserbase, LangChain, and Replit.
360itprofessionals1
Join our dynamic team at 360itprofessionals1 as a Full-Time Android Engineer! We are looking for a talented individual who is passionate about mobile development and has a strong foundation in SDK and User Interface design. This is an exciting opportunity to leverage your skills in a collaborative environment while contributing to innovative projects.
Rox Data Corporation
About UsAt Rox, we are dedicated to empowering individuals to excel in their work. Our innovative platform enhances sales performance through autonomous revenue agents that alleviate manual tasks, allowing sellers to concentrate on their core strength: selling. Much like coding agents revolutionized engineering, our revenue agents are set to transform customer engagement. We are pioneering the world's first revenue operating system, seamlessly integrating all aspects of the revenue stack, from application layers to contextual systems. At Rox, we envision a future where humans become orchestrators while agents efficiently manage the entire customer lifecycle.Serving industry leaders across banking, hardware, construction, and sovereign AI, Rox is the backbone for successful AI innovators such as Ramp and Cognition. Our collective success stems from a shared mission and unwavering commitment to making it a reality. This journey is fueled by a world-class team dedicated to redefining business operations.The RoleWe are seeking a Revenue Enablement Manager — a role that transcends traditional enablement responsibilities.You will not be confined to creating presentations; instead, you will revolutionize the operational framework of a global sales organization. You’ll engage at the crossroads of AI, go-to-market (GTM) strategies, and hands-on execution, pinpointing breakdowns in the sales process, crafting effective solutions, and developing the programs and materials that empower a high-performing team to achieve faster success.We are looking for an individual who actively engages with AI technology — not just observing trends or waiting for use cases to emerge. You possess practical experience in leveraging AI tools to address real GTM challenges: automating workflows, expediting research, enhancing coaching, and rethinking day-to-day sales operations. You innovate, prototype, and seek AI-driven solutions to streamline processes. Your success is measured by the impact on the sales pipeline, rather than the volume of materials produced — viewing AI as a catalyst for that impact.This role offers significant ownership and influence within a fast-paced startup environment. If you thrive in such settings, we invite you to connect with us.What You'll DoEnhance Onboarding. Collaborate with GTM leadership to craft and execute a top-tier onboarding program that accelerates new seller productivity from the outset, ensuring scalability from day one.Facilitate Enablement Programs. Partner across departments to establish and run a regular schedule of enablement sessions that keep the team informed, skilled, and competitive.
Ando Technologies
Join Ando Technologies as a Machine Learning Engineer specializing in AI-native systems and forecasting. In this role, you will leverage cutting-edge machine learning algorithms to develop predictive models and enhance our AI-driven solutions. Collaborate with cross-functional teams to transform data into actionable insights and drive strategic decisions. Ideal candidates will have a passion for innovation and a strong understanding of AI technologies.
Who We AreAt Lightning AI, we are the driving force behind PyTorch Lightning. Established in 2019, our mission is to create a comprehensive platform that streamlines the development, training, and deployment of AI systems, transforming innovative ideas into production-ready applications with minimal friction.Following our merger with Voltage Park, a leader in neocloud and AI manufacturing, we empower teams with cutting-edge software and cost-effective, scalable computing resources. Our platform is equipped with built-in security, observability, and control, enabling researchers and organizations to experiment, train, and deploy with confidence.We cater to a diverse clientele, including independent researchers, startups, and large enterprises, operating globally from our offices in New York City, San Francisco, Seattle, and London. Our growth is backed by prominent investors such as Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.Our ValuesMove Fast: We act swiftly and decisively, breaking down substantial challenges into manageable tasks.Focus: We prioritize one goal at a time, collaborating to deliver precise features.Balance: We believe that sustained performance stems from proper rest and recovery, ensuring a healthy work-life balance.Craftsmanship: Innovation through excellence is our mantra. Every detail is vital, and we take pride in mastering our craft.Minimal: Simplicity fuels our innovation. We strive to reduce complexity and concentrate on what genuinely matters.
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