Join Arena Intelligence as a Data ScientistArena Intelligence stands at the forefront of AI evaluation, offering an open platform that examines how AI models perform in real-world scenarios. Founded by UC Berkeley's SkyLab researchers, our mission is to push the boundaries of AI utility.Each month, millions engage with Arena Intelligence to assess the performance of pioneering AI systems, using our community's insights to foster transparent, comprehensive, and human-centric model evaluations. Leading enterprises and AI labs depend on our evaluations to gauge real-world reliability, alignment, and impact. Our leaderboards are regarded as the benchmark for AI performance, trusted by industry leaders and influencing global discussions on model reliability and advancement.Our diverse team of researchers, engineers, and builders hail from prestigious institutions such as UC Berkeley, Google, Stanford, DeepMind, and Discord. We prioritize truth, agility, and craftsmanship while fostering an environment that values curiosity and impact over hierarchy. At Arena, skilled individuals from all backgrounds are empowered to excel in their fields, contributing to an atmosphere rich in excellence, energy, and focus.The RoleAs a Data Scientist, you will investigate and interpret the data that fuels millions of AI evaluations weekly. Your responsibilities will include generating and testing hypotheses, identifying causal relationships, and revealing insights that enhance our understanding of frontier model behaviors in practical applications. You will collaborate with machine learning researchers and engineers to design experiments, analyze extensive datasets, and develop statistical frameworks aimed at refining the reliability and interpretability of our AI evaluation systems. Senior-level candidates are preferred for this role.

Join Our Team at Arena IntelligenceArena Intelligence is revolutionizing the way we evaluate AI models in real-world applications. Founded by visionary researchers from UC Berkeley’s SkyLab, our mission is to measure and elevate the standards of AI performance across various domains.With millions of users each month, Arena serves as a trusted platform for understanding the reliability and impact of advanced AI systems. We leverage community insights to refine our evaluation processes, ensuring transparency and relevance. Our leaderboards are recognized as the benchmark for AI performance, shaping discussions and decisions in the global AI community.Our diverse team hails from esteemed institutions such as UC Berkeley, Google, Stanford, DeepMind, and Discord. We foster a culture of innovation, collaboration, and excellence, where every team member is empowered to contribute their expertise and drive impactful results.Your RoleAs a Technical Recruiter at Arena, you will play a pivotal role in scaling our exceptional team. You will be a key partner to hiring managers, guiding them through the recruitment process to define role expectations and develop effective interview strategies. Your focus will be on building inclusive hiring practices and enhancing our employer brand while ensuring a seamless and engaging candidate experience.Key ResponsibilitiesCollaborate with hiring managers to define role outcomes, success profiles, and interview plans aligned with business objectives.Oversee the full recruitment cycle from kickoff to offer acceptance, ensuring efficiency and effectiveness at each stage.Create talent pipelines through targeted sourcing strategies, including passive outreach, community engagement, events, referrals, and compelling job postings.Implement a structured and equitable hiring process by defining competencies, calibrating evaluation rubrics, and maintaining a consistent candidate experience.Uphold a commitment to excellence across all recruitment stages by continuously refining processes and improving funnel health.Monitor recruitment metrics, providing regular updates on funnel performance, diversity indicators, and overall progress.Lead offer strategies and negotiations in line with compensation frameworks and market benchmarks.Build and maintain a network of high-potential talent for future opportunities.

Join Arena Intelligence as a Business Development LeadArena Intelligence stands as the premier platform for assessing the efficacy of AI models in real-world scenarios. Established by visionary researchers from UC Berkeley’s SkyLab, we aim to push the boundaries of AI application through precise measurement and evaluation.With millions of users engaging with Arena each month, we harness community insights to foster transparent, thorough, and user-centric model assessments. Our evaluations are the benchmark for AI performance, recognized by leading enterprises and AI laboratories worldwide, and they actively shape the discourse around model trustworthiness and development.Our diverse team comprises experts from UC Berkeley, Google, Stanford, DeepMind, and Discord. We prioritize truth-seeking, rapid innovation, and a culture of craftsmanship, curiosity, and impact. At Arena, we cultivate an environment where inquisitive minds from all backgrounds can excel. Each team member brings profound expertise, creating a space charged with excellence and focus.Your RoleThis pivotal senior individual contributor position is ideal for someone who thrives in an autonomous environment. You will manage the complete revenue generation cycle—from engaging with intricate technical stakeholders to finalizing seven-figure contracts.Your main goal will be to ensure that Arena meets and surpasses its annual revenue and consumption objectives by integrating our evaluation infrastructure into the workflows of the leading AI firms globally.Key ResponsibilitiesStrategic Account Development & ExecutionManage Model Lab Relationships: Act as the primary business contact for premier global model labs, overseeing the relationship from research lead through procurement.Drive Revenue Growth: Increase revenue across multiple modalities (text, code, multimodal, vision, auto-eval) by strategically aligning our evaluation programs with each lab’s research and development agendas.Enterprise Solution Expansion: Identify and secure high-value opportunities to bring Arena’s evaluation capabilities to major enterprise clients (e.g., Salesforce, IBM, ServiceNow) looking to assess internal or vendor models.Ensure Market Leadership: Negotiate co-release and marketing rights for all significant lab partnerships to maintain Arena’s position as the industry standard.Lifecycle Management: Oversee contract renewals, upsells, and relationship management to bolster client satisfaction and retention.

Join the Arena Intelligence TeamArena Intelligence is a cutting-edge platform dedicated to evaluating the performance of AI models in real-world scenarios. Founded by a team of researchers from UC Berkeley’s SkyLab, our mission is to push the boundaries of AI through comprehensive measurements and advancements.Every month, millions turn to Arena Intelligence to gain insights into the performance of pioneering AI systems. Our community-driven feedback loop helps us create transparent, rigorous, and human-centered evaluations. Major enterprises and AI laboratories trust our assessments for their reliability, alignment, and impact. Our leaderboards have become the benchmark for AI performance, influencing the global discourse on model efficacy and innovation.Our team comprises top researchers, engineers, and builders from prestigious institutions like UC Berkeley, Google, Stanford, DeepMind, and Discord. We prioritize truth, agility, craftsmanship, curiosity, and impactful work over traditional hierarchies, fostering an environment where diverse talents can thrive. Our office is a hub of excellence, energy, and focus.Your Role as a Machine Learning ScientistWe are looking for a skilled Machine Learning Scientist to enhance our methods for evaluating and understanding AI models. You will design and analyze experiments that reveal the factors contributing to the usefulness, trustworthiness, and capabilities of models based on human preference signals. Your contributions will lay the groundwork for scalable AI understanding.This interdisciplinary role involves close collaboration with engineers, product teams, marketing, and the wider research community to develop innovative methodologies for model comparison, preference data analysis, and performance factor disentangling, including style, reasoning, and robustness. Your work will directly impact our public leaderboard and the resources we provide to model developers.If you are intrigued by open-ended challenges, rigorous evaluations, and impactful research, we invite you to apply. We are looking for candidates with:Hands-on experience in training large-scale models, including reward and preference models, as well as fine-tuning LLMs using methodologies such as RLHF, DPO, and contrastive learning.A solid foundation in machine learning and statistics, with proven experience in designing innovative training objectives, evaluation schemes, or statistical frameworks to enhance model reliability and alignment.Proficiency in the entire experimental pipeline, from dataset design and large-batch training to thorough evaluation and ablation, with an understanding of scalability for production.

Arena Intelligence builds a platform for evaluating AI models in real-world scenarios. The company, founded by researchers from UC Berkeley's SkyLab, is known for transparent, human-centered assessments. Millions turn to Arena Intelligence each month for insights, while leading enterprises and AI labs use its evaluations to measure reliability and impact. Arena’s leaderboards are widely recognized as a standard for AI performance. The team brings together researchers, engineers, and academics from institutions like UC Berkeley, Google, Stanford, DeepMind, and Discord. Arena values truth, agility, and craftsmanship, and welcomes people from all backgrounds. Team members are experts in their fields, contributing to a culture focused on excellence. Role overview The Assistant Controller will build Arena’s accounting function from the ground up. As the first accounting professional at the company, this person will design systems, controls, and infrastructure to support Arena’s growth. The role reports to the Head of Finance and is foundational in supporting a product trusted by elite AI labs and enterprises. This position covers all aspects of accounting operations, including daily financial activities, timely month-end closes, and preparation for audits. The Assistant Controller will handle complex enterprise contracts, manage revenue recognition, and develop a cost accounting framework. Collaboration with an external accounting firm is part of the job. Key responsibilities Oversee monthly, quarterly, and annual financial closes, ensuring GAAP compliance in financial statements and analyses. Manage daily financial operations, including Accounts Payable, Accounts Receivable, expense allocations, and balance sheet reconciliations for major enterprise clients. Handle revenue recognition, applying ASC 606 to complex enterprise contracts. Design and implement scalable financial systems and processes to support rapid growth. Location Bay Area

Join Arena IntelligenceArena Intelligence is the premier open platform for assessing the real-world performance of AI models. Founded by innovative researchers from UC Berkeley’s SkyLab, our mission is to enhance and measure the frontier of AI applications in real-world scenarios.Every month, millions of users leverage Arena Intelligence to delve into the performance of advanced AI systems. We harness community feedback to create transparent, rigorous, and user-centered evaluations. Leading enterprises and AI research labs count on our assessments to gauge real-world reliability, alignment, and impact. Our leaderboards are recognized as the definitive standard for AI performance, shaping the global discourse around model reliability and progress.Our dynamic team is composed of researchers, engineers, and academics from esteemed institutions like UC Berkeley, Google, Stanford, DeepMind, and Discord. We prioritize truth-seeking, rapid innovation, and craftsmanship, fostering an environment where diverse, thoughtful individuals can excel. Every team member is a deep expert in their respective field, contributing to a vibrant culture of excellence and focus.Position OverviewWe are looking for a Senior Infrastructure Engineer to architect, build, and enhance the technical framework that drives the world’s most transparent AI evaluation platform. This is more than just a role focused on architecture; you will collaborate closely with product, security, and data teams to identify system bottlenecks, design robust systems, and deploy code that ensures our platform remains fast, reliable, and secure at scale.Your work will have a significant impact across the technology stack: optimizing system performance, creating building blocks that facilitate swift feature delivery, fortifying our systems against misuse, and scaling infrastructure to accommodate billions of API requests and real-time interactions. If you are passionate about cross-functional collaboration, diving deep into code, and transforming infrastructure into a standalone product, this role is for you.Key ResponsibilitiesLead technical strategy for Arena’s core infrastructure - encompassing networking, APIs, services, data systems, and security frameworks.Design and develop high-performance systems capable of scaling to hundreds of millions of real-time interactions and evaluations daily.Collaborate with security engineering to integrate anti-abuse mechanisms, Sybil resistance, and trust systems into the core architecture of the platform.Work alongside product engineering to implement infrastructure enhancements that expedite feature delivery and enhance overall platform performance.

About Arena IntelligenceArena Intelligence serves as the premier platform for assessing the effectiveness of AI models in practical applications. Founded by a team of researchers from UC Berkeley’s SkyLab, our mission is to push the boundaries of AI measurement and utilization in real-world scenarios.Every month, millions of users engage with Arena Intelligence to investigate the performance of cutting-edge systems. We actively incorporate feedback from our community to enhance our model evaluations, ensuring they are transparent, rigorous, and centered around human values. Leading organizations and AI research facilities rely on our assessments to gauge real-world reliability, alignment, and impact. Our leaderboards are recognized as the benchmark for AI performance, trusted by industry leaders and influencing global discussions on model reliability and advancement.Our diverse team includes researchers, engineers, academics, and innovators from renowned institutions such as UC Berkeley, Google, Stanford, DeepMind, and Discord. We prioritize truth, agility, and craftsmanship, valuing curiosity and impact over traditional hierarchies. At Arena, we foster an environment where insightful and inquisitive individuals from varied backgrounds can excel. Each team member is a specialist in their area, contributing to a culture of excellence and focus.About the RoleWe are looking for a Scientific Content Lead to uphold and articulate the scientific integrity of the most reliable AI evaluation platform globally. In this role, you will ensure that Arena’s methodologies, data quality standards, and evaluation outcomes are effectively communicated to researchers, labs, policymakers, analysts, and businesses.This position is highly technical and demands cross-functional collaboration. You will collaborate with our research team to translate evaluation science into precise public content, preemptively address methodological criticisms, and maintain Arena’s dedication to transparency and impartiality.Your ResponsibilitiesDevelop and manage Arena’s scientific communications strategy, ensuring that our evaluation methodologies, benchmarks, and data quality practices are accurately represented externally.Steer Arena’s proactive narrative regarding data quality, countering common criticisms and misconceptions with transparency, evidence, and integrity in storytelling.Create foundational explanations of Arena’s measurement strategies, including methods like Bradley-Terry-Luce ranking, confidence intervals, and uncertainty-aware interpretations.Ensure responsible communication of Arena’s leaderboards, clarifying that rankings are statistical estimates, small variances may be noise, and uncertainty must be accounted for in public interpretations.Engage with various stakeholders to foster a deeper understanding of Arena’s scientific contributions and methodologies.

Join our innovative team at Lever as a Senior Scientist, where you will play a crucial role in advancing our mission to redefine talent acquisition. Lever is at the forefront of developing cutting-edge hiring software that empowers companies such as Netflix, Shopify, and Spotify to attract and retain top talent. We pride ourselves on fostering a people-first culture, investing in our employees, and being recognized as a premier workplace in San Francisco and across the United States.As a Senior Scientist, you will leverage your expertise to contribute significantly to our projects and help shape the future of hiring technology. Your insights and skills will be invaluable as we continue to scale and innovate.

Join our innovative team as an Engineer at leverdemo-8! This role is part of our ongoing efforts to enhance Lever's testing environment. Please note, this posting is for testing purposes only and not for actual recruitment.At Lever, we are dedicated to revolutionizing the recruitment and hiring process, providing cutting-edge software solutions to industry leaders like Netflix, Yelp, Cirque du Soleil, Shopify, and Spotify. As we continue to grow, we seek talented individuals who are passionate about transforming talent acquisition. Lever has been recognized as the #1 workplace in San Francisco and a top employer across the United States. Our team, known as 'Leveroos', is our most valuable asset, and we are committed to fostering a people-first culture that prioritizes the well-being and growth of our employees.

Join fal as a Senior Data Scientist specializing in Product Intelligence, where you will design the analytical architecture that drives our growth. Your expertise will encompass the entire developer journey, from initial acquisition to sustained expansion. You will transform raw behavioral and system signals into actionable metrics and insights that guide our product strategy and market approach.This strategic position allows you to collaborate closely with teams in Product, Engineering, and Marketing. You will not only conduct domain-specific analyses but also take ownership of the foundational data systems, standards, and experimentation frameworks that provide essential insights across the company.

Join Until, a visionary moonshot company dedicated to revolutionizing biology with a groundbreaking 'pause button' for organ preservation. Our immediate mission focuses on organ-scale reversible cryopreservation, which allows for the preservation of donated organs at subzero temperatures while preventing ice formation, facilitating uniform rewarming for transplant. By addressing this monumental challenge, we are paving the way for whole-body reversible cryopreservation, providing patients with hope for future medical advancements.To realize our ambitious objectives, we are curating a diverse team of experts to innovate perfusion systems, develop cryoprotectant formulations, and engineer cutting-edge vitrification and rewarming technologies. Additionally, we are expanding our medical hibernation team to tackle the complexities of whole-body cryopreservation, starting with rodent models.We envision a future where logistics never hinder the availability of transplantable organs, and where terminal diagnoses can be reconsidered, allowing patients to await the arrival of future medical solutions safely.About the RoleAs a Machine Learning Engineer / Scientist at Until, you will play a pivotal role in our computational team, transforming experimental data into actionable insights that fuel scientific breakthroughs. You will create high-impact machine learning systems to aid in the development of innovative cryoprotectant formulations, engineer biologically-inspired antifreeze proteins, and unravel the physics underlying vitrification and rewarming processes. You will lead projects end-to-end, encompassing data collection design, data pipeline architecture, model training and evaluation, and the deployment of user-friendly tools for our scientific team.

About Our TeamThe Intelligence and Investigations team at OpenAI is committed to proactively identifying and mitigating online abuse and strategic risks. Our mission is to foster a safe digital ecosystem by analyzing emerging trends and collaborating with internal and external partners to implement effective measures against misuse. Through our initiatives, we contribute to OpenAI's goal of creating AI technologies that enhance human well-being.The Strategic Intelligence & Analysis (SIA) team specializes in providing safety intelligence for OpenAI’s products. By monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats, we guide safety measures, product strategies, and partnerships. Our work ensures that OpenAI’s tools are utilized securely and responsibly in essential sectors.About the RoleAs a Data Scientist, you will spearhead econometric and experimental analyses to comprehend risk dynamics within complex human–AI systems. Your focus will be on quantifying the magnitude and implications of risk fluctuations in a fast-paced, evolving environment. You will design experimental and observational studies to uncover causal factors and assess risk changes across diverse surfaces and sources. Your insights will directly influence strategic risk management and prioritization across the organization.This position is based in San Francisco, CA (hybrid, 3 days/week) with relocation assistance available.Key Responsibilities:Design and execute experimental and observational analyses to evaluate strategic risks.Develop econometric models to assess the impact of product, policy, and external factors on critical risk vectors.Translate strategic risk inquiries into testable hypotheses and robust study frameworks.Implement A/B tests and pseudo-experimental studies to measure risk changes and uncover underlying mechanisms.Identify, test, and clarify product-driven, event-driven, or signal-driven risk variations.Establish baselines and statistical confidence around core metrics to define the scale of risks.Collaborate across teams to monitor strategic risks, pinpoint intervention opportunities, and assess the effectiveness of those interventions.

About IVX Health IVX Health delivers infusion care in comfortable outpatient centers. The company is expanding its presence in the Bay Area, California, and seeks experienced sales leaders to help drive this growth. Role Overview: Area Sales Manager – Bay Area, CA The Area Sales Manager will launch and grow IVX Health’s market presence across the Bay Area. This role leads a field sales team focused on increasing provider referrals and improving patient experiences. Success depends on building strong relationships, guiding a team, and executing local sales strategies. Main Responsibilities Lead and coach the field sales team across Bay Area markets, setting clear goals and supporting team development through regular field visits and check-ins. Develop and execute sales strategies tailored to local market needs to drive referral growth. Collaborate with market teams and regional leaders to align on goals and share insights. Assess local market trends to identify new opportunities and respond to competitive changes. Build partnerships with healthcare systems and specialty providers to expand referral networks. Monitor and optimize referral activity to improve conversion rates and patient outcomes. Stay informed on industry and regulatory trends that impact provider decisions. Cultivate relationships with pharmaceutical partners and key clients, ensuring provider satisfaction and engagement. Use CRM and EMR tools to track sales activities, manage pipelines, and surface new opportunities. Deliver regular sales reports and insights to leadership. Recruit, train, and support sales talent, conducting at least two field coaching ride-alongs per representative each month and maintaining a minimum of four field days per week. Qualifications Bachelor's degree in a relevant field Demonstrated success in healthcare sales management Strong communication and interpersonal abilities Skilled at analyzing data and market trends Proficient with CRM systems and sales analytics tools This position is based in the Bay Area, California, and will require regular in-market presence.

Join our innovative team at Lever, where we are reimagining the recruitment landscape! As a Senior Data Engineer, you will play a pivotal role in developing our cutting-edge hiring software, which is trusted by industry leaders like Netflix, Shopify, and Cirque du Soleil. Your expertise will help us continue to push the boundaries of talent acquisition technology.Lever, founded a decade ago, addresses one of the most critical challenges companies face: attracting and hiring premier talent. Recognized as the #1 workplace in San Francisco and a top employer nationwide, we take pride in our people-first culture, investing in our team members – our greatest asset. If you're passionate about shaping the future of hiring, we want to hear from you!

Note: We are excited to facilitate this recruitment for our esteemed client. This position is directly with Arena Intelligence, not People Culture Talent. We look forward to connecting skilled professionals with this remarkable team!The RoleArena Intelligence is redefining the landscape for assessing AI model performance in practical applications. Originating from UC Berkeley’s SkyLab, our platform, Arena.ai, has established itself as the benchmark for AI model evaluation, gaining the trust of researchers, developers, and enterprises that are paving the future of artificial intelligence.Our mission is to create API-driven services tailored for enterprise clients. We aim to deliver premier machine learning products (like Arena Max) that align with their specific business needs.In this pivotal role, you will be responsible for the foundational infrastructure that transforms our research capabilities into enterprise-ready products. This is a unique opportunity to be part of the developer/enterprise team from the ground up. You will collaborate directly with founders and early customers to shape our offerings.What You’ll DoDevelop API-centric products from inception, focusing on creating low-latency, high-reliability APIs for leaderboards, models, and arenas.Tackle complex streaming challenges, including handling SSE/streaming responses from diverse providers, ensuring partial failure recovery, mid-stream fallbacks, and consistent response normalization.Deliver enterprise-grade infrastructure by implementing expected features such as rate limiting, authentication, usage metering, cost attribution, audit logging, and SOC2 compliance.Enhance observability by integrating distributed tracing, latency analysis, token-level usage tracking, and real-time dashboards for comprehensive insights.Develop AI-focused products by integrating with our core evaluation platform, Arena data, and customer-specific benchmarks, while collaborating with the research team to evolve innovative concepts into robust products.Contribute across the tech stack, particularly in backend development for our Leaderboards and Evals platforms, ensuring a cohesive architecture for our public and private data systems.What We’re Looking ForA minimum of 4 years of backend engineering experience, with substantial experience in distributed systems, infrastructure, or developer-centric platforms.Proficiency in Go and familiarity with other programming languages.

About DelphinaAt Delphina, we recognize the pain points that data scientists face today, often bogged down by the manual processes of data wrangling, model building through tedious trial and error, and cumbersome deployment rewrites. Many of the tools currently in use, such as Jupyter notebooks and Pandas, are over a decade old and inadequate for modern needs.Our mission is to revolutionize data utilization, empowering users to better understand the present and predict the future. Delphina serves as an AI Agent for Data Science, utilizing generative AI, large-scale optimization, and specialized infrastructure to automate essential, yet time-consuming tasks necessary for rapid model development. Our solution identifies relevant data, cleans it, trains models, and even automates the deployment of pipelines.Our team comprises seasoned professionals who have previously led substantial data science and machine learning initiatives, built successful startups, and created impactful tools for enterprise ML.We're supported by leading AI investors, including Fei-Fei Li, Radical VC, and Costanoa VC.What You’ll DoWe are seeking a talented Backend Software Engineer to join us as a founding team member at Delphina.As a key early hire, you will collaborate closely with our initial team to define product direction and make pivotal technical decisions, significantly influencing our technology, product, and company culture.Your responsibilities will include:Designing, developing, and deploying the systems and services that power our platform.Collaborating with a cross-functional team of scientists, researchers, and engineers to transform the landscape of machine learning.Ensuring our systems are reliable, secure, and deserving of our customers' trust.What We’re Looking ForExperience in leading and building production systems to achieve significant product goals.Proficiency in at least one backend programming language, such as Go, Python, Scala, or Java.A strong drive and ambition to create a product that exceeds expectations in innovative ways.A natural inclination towards continuous improvement of both our product and your own skills, embodying a growth mindset.

Join Arena Intelligence as an Analytics Engineer!Arena Intelligence is a pioneering platform devoted to assessing the performance of AI models in real-world scenarios. Founded by talented researchers from UC Berkeley's SkyLab, our mission is to advance AI applications through rigorous evaluation and transparency.Each month, millions engage with Arena Intelligence to comprehend the effectiveness of cutting-edge AI systems, and we leverage our community’s insights to foster trustworthy and user-centric model evaluations. Top enterprises and AI laboratories depend on our assessments to gauge real-world reliability, alignment, and impact. Our leaderboards set the standard for AI performance, earning trust from industry leaders and steering global discussions on model reliability.Our dynamic team consists of researchers, engineers, and innovators with backgrounds from prestigious institutions such as UC Berkeley, Google, and Stanford. We prioritize truth, speed, and craftsmanship while maintaining an inclusive environment where passionate minds from diverse backgrounds can excel. Our workplace embodies excellence, energy, and concentration.Role OverviewWe are looking for an experienced Analytics Engineer to build and manage the data infrastructure that supports real-world AI evaluations. You will be responsible for designing and implementing analytics-ready data models, pipelines, and metrics that transform raw user data and votes into valuable insights for our stakeholders.This role is positioned at the intersection of data engineering, analytics, and product development. You will collaborate closely with researchers, product managers, and engineers to define schemas, standardize metrics, and ensure accuracy and scalability of our evaluation data. Your contributions will significantly influence how AI performance is assessed and interpreted across the sector.We seek someone who is passionate about crafting clean, robust data systems, values data integrity, and desires to see their work drive product decisions and benefit our external clients.

Note: We are recruiting on behalf of our esteemed client, Arena Intelligence. This opportunity is for a position within their organization, not with People Culture Talent. We are thrilled to connect talented professionals with this exceptional team!The RoleArena Intelligence, an innovative leader in the field of open AI evaluation platforms that is transforming how premier AI labs assess model performance, is on the lookout for a dynamic and strategic Social Media Lead. This role will focus on enhancing the company's visibility across X, LinkedIn, and emerging platforms.As the Social Media Lead, you will define the organization's digital voice, create captivating content that simplifies complex technical developments, and engage thoughtfully with the broader AI community. Your mission will also involve designing and implementing strategies to increase reach, boost engagement, and establish a reputable presence in the rapidly evolving AI research and development sector.This position is perfect for an individual who is adept at navigating the nuances of social media, thrives in fast-paced online environments, and enjoys crafting thoughtful conversations around intricate AI advancements.What You’ll OwnSocial Media Strategy & ContentDevelop, schedule, and manage high-quality content tailored for X and LinkedIn, leveraging each platform’s unique strengths.Transform technical updates, product launches, and AI trends into engaging and shareable social media posts.Curate and oversee a forward-looking content calendar aligned with product milestones, community activities, and key AI industry events.Create and execute platform-specific growth strategies to broaden the organization’s presence across existing and emerging channels.Growth & Performance OptimizationEnhance followers, reach, and engagement through innovative experimentation and trend analysis.Spot opportunities for growth through content experimentation and real-time cultural insights.Monitor and evaluate key performance metrics to inform content strategy, tone, and posting frequency.Cross-Functional CollaborationCollaborate with product and engineering teams to amplify product launches and effectively communicate updates.

About Sully.aiAt Sully.ai, we are dedicated to transforming healthcare through innovative technology. Our goal is to ensure that every individual has access to top-tier medical professionals, as we believe that quality healthcare is a fundamental human right.Currently, the healthcare system is burdened by delays, misdiagnoses, and overwhelming administrative tasks that lead to clinician burnout. We are changing that.Our Mission: One Human, One Doctor. We develop AI-powered teammates, including scribes, nurses, receptionists, and translators, all utilizing our cutting-edge models to enhance real-world clinical care.Our Achievements:Over 450 organizations onboarded within the last 16 months.AI agents reducing administrative tasks by approximately 2.8 hours per day and streamlining onboarding by 85%.More than 5 million clinical tasks completed across 36+ specialties.Secured $25 million in funding from prominent investors including YC, Eric Yuan, Amity, and Semper Virens.Our patented MedCon-1 AI architecture outperforms leading models such as GPT-4.5, Gemini, and Claude in clinical reasoning.We are seeking top talent capable of delivering 12 months of output in just 4 months.Role OverviewWe are currently looking for exceptional individuals to join Sully.ai. If there's a mutual fit, our first conversation will focus on aligning your strengths and experiences with our priorities.Core ResponsibilitiesDesign scalable systems and processes to turn initial traction into consistent, metrics-driven performance.Collaborate closely with product and engineering teams to translate customer challenges into actionable workflows and product enhancements.Serve as a technical thought partner, evaluating edge cases, shaping AI behavior, and ensuring compliance with clinical and operational standards.Maintain close relationships with users, particularly clinicians, leveraging feedback and data to continually optimize workflows.Essential QualificationsExperience as a founder or a key member of an early-stage team scaling a SaaS or AI product to significant revenue.Strong technical background with an understanding of AI technologies and SaaS product lifecycle.

This is a demonstration role within Lever's testing environment, and applications for this position are not accepted.Lever, established a decade ago, addresses one of the most critical challenges faced by organizations: attracting and hiring exceptional talent. We are developing cutting-edge hiring software that industry leaders such as Netflix, Yelp, Cirque du Soleil, Shopify, and Spotify depend on to expand their teams. Our innovative approach to talent acquisition has positioned us as leaders in the industry, and we are on the lookout for dynamic individuals to join our expanding team. We take immense pride in our company culture, which has earned us recognition as the top workplace in San Francisco and among the best in the United States. Our dedicated employees, referred to as 'Leveroos,' are the cornerstone of our success, and we are committed to nurturing their growth and fostering a people-centric workplace.