AI Creative & Design Jobs

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. _*]:min-w-0 !gap-3.5"> As a Mid Market Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic deals with established companies of hundreds or thousands of employees across traditional industries including manufacturing, retail, healthcare, financial services, and logistics. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them identify practical AI applications that enhance operational efficiency and drive competitive advantage. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with conservative business leaders focused on measurable ROI and risk mitigation. The ideal candidate will have a passion for guiding traditional organizations through technology transformation, building consensus among diverse stakeholders, and executing long-term strategies that drive sustainable AI adoption. By facilitating deployment of Anthropic's AI solutions in established business environments, you will help organizations modernize their operations while advancing the ethical development of AI. Anthropic is an AI safety and research company that works to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product. Responsibilities Drive new business revenue by navigating complex organizational structures to reach decision-makers and educate them on practical AI applications Execute sales strategies tailored to traditional industry procurement cycles and conservative decision-making processes to exceed revenue quotas Identify new operational use cases within traditional business functions and collaborate cross-functionally to position AI as practical enhancement solutions Build consensus among C-suite executives, IT directors, operations leaders, and procurement teams around AI adoption strategies Gather customer feedback to inform product roadmaps and strengthen value propositions for risk-conscious organizations Refine mid-market sales methodology by incorporating learnings into playbooks and optimizing processes for longer decision cycles You may be a good fit if you have: 8+ years B2B software sales experience with 5+ years closing in mid-market accounts within traditional industries Fluency in German and English to expand our client base in multilingual markets Traditional industry expertise in manufacturing, retail, healthcare, financial services, logistics, or professional services Track record closing €100K-€5M deals with 6-12 month sales cycles in conservative business environments Experience as a strategic business advisor facilitating change management and technology adoption Proven ability navigating complex procurement processes and building consensus among diverse stakeholder groups Consultative selling approach translating technical AI capabilities into business language for conservative decision-makers History of exceeding quota while managing longer sales cycles across multiple traditional industry accounts Strong communication skills engaging audiences from technical teams to C-level executives Industry acumen with analytical approach to positioning AI as operational enhancement rather than disruptive technology Change management mindset for guiding conservative organizations through technology adoption Business outcome focus with ability to articulate ROI frameworks and demonstrate measurable operational improvements Passion for AI with commitment to safe, responsible deployment in stability-focused business environments Deadline to apply: None. Applications will be reviewed on a rolling basis.  The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. 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:€155.000—€205.000 EURLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. About the team In our Professional and Financial Services Business unit, we bring everything we have learned in more than a decade of Applied AI, and use it to help our clients navigate a rapidly changing landscape. We develop and embed AI solutions which help firms become more efficient, enhance customer experience, and find the commercial upside in uncertain markets. Within the constraints of a highly regulated industry, we see so much opportunity for meaningful innovation and are proud to set the gold-standard for marrying technical excellence with safe deployment.#LI-PRIOAbout the roleJoin us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects. You will act as a technical expert, applying your skills across various projects from AI strategy to client-side deployments, while ensuring architectural decisions are sound and reliable. This role demands a balance of deep technical expertise and strong leadership, focusing on driving innovation, fostering team growth, and building reusable solutions across the organisation. If you're ready to manage high-risk projects and deliver practical, innovative outcomes, this is your chance to shape our future.What you'll be doingSetting the technical direction for complex ML projects, balancing trade-offs, and guiding team priorities.Designing, implementing, and maintaining reliable, scalable ML/software systems and justifying key architectural decisions.Defining project problems, developing roadmaps, and overseeing delivery across multiple workstreams in often ill-defined, high-risk environments.Driving the development of shared resources and libraries across the organisation and guiding other engineers in contributing to them.Leading hiring processes, making informed selection decisions, and mentoring multiple individuals to foster team growth.Proactively developing and executing recommendations for adopting new technologies and changing our ways of working to stay ahead of the competition.Acting as a technical expert and coach for customers, accurately estimating large work-streams and defending rationale to stakeholders.Who we're looking forYou are a technical expert among your peers, capable of going deep on particular topics and demonstrating breadth of knowledge to solve almost any problem.You possess strong Python skills and practical experience operationalising models using frameworks like Scikit-learn, TensorFlow, or PyTorch.You are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build full-stack web applications.You have hands-on experience with containerisation tools like Docker and orchestration via Kubernetes.You can successfully manage and coach a team of engineers, setting team-wide development goals to improve client delivery.You find novel, clever solutions for project delivery and take ownership for successful project outcomes.You're an excellent communicator who can proactively help customers achieve their goals and guide both technical teams and non-technical stakeholders.Our Interview ProcessTalent Team Screen (30 minutes) Introduction to the role (45 minutes) Pair Programming Interview (90 minutes) System Design Interview (90 minutes) Commercial & Leadership Interview (60 minutes)Our Recruitment EthosWe aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.Some of our standout benefits:Unlimited Annual Leave PolicyPrivate healthcare and dentalEnhanced parental leaveFamily-Friendly Flexibility & Flexible workingSanctus CoachingHybrid Working (2 days in our Old Street office, London)If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat - talent@faculty.ai Please know we are open to conversations about part-time roles or condensed hours.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?We’re seeking an experienced Technical Program Manager to join Cohere’s Technical Program Management team, with technical release management experience. We need someone with curiosity, drive, independence, and leadership, who has hands-on experience with enterprise product releases across platforms.In return, you’ll have the unique opportunity to shape Cohere’s operations, collaborate with leading minds in the LLM space. You will get a chance to create extremely high-impact contributions to our fast-growing company, product and culture.This role is open to candidates based on the West Coast, or those who are flexible to travel.As a Technical Program Manager, you will:Deliver clear, timely, and consistent updates across engineering, leadership, and non–technical teams on the monthly container releases and major LLM model launches.Develop new practices and structures to better scale release management across all cloud partner platforms including Oracle, Amazon Web Services, Azure, and Cohere’s platform.Track releases and lead the release artifact management for AWS, Azure, Oracle, and Cohere’s platform.Work closely with Cohere’s platform engineering teams and modelling teams on model launches across platforms and partner platforms.Manage project timelines, dependencies, risks, and cross-functional alignment for all major releases and updates. The scheduling, coordination, quality control, and deployment process will be fully owned by this role.Track all technical bugs and liaise with engineering and the partner platforms to ensure that all bugs are addressed and fixes are delivered within SLAs.Coordinate across all disciplines to ensure release plans, marketing, branding, quality control, and other key stakeholders are considered and executed properly for each release.Manage partner requests by bringing opportunities and partner requests, coordinating timelines, and triaging processes with various internal teams to deliver in a timely manner.Execute: Ensure on-time delivery, track progress, and establish checkpoints for success.Problem-solve: Proactively resolve issues, coordinate dependencies, and prioritize impacts to quality and timelines.You may be a good fit if:You have 5+ years of experience as an Engineering/Technical Program ManagerYou have hands-on experience with delivering and launching LLMs and enterprise solutions.You have familiarity with SDLC, specific to modelsYou are technically aware of requirements around model security, governance, deployment, with a deep understanding of cloud service providers (CSP) and have demonstrated strong experience with utilizing cloud platforms like AWS, GCP, Azure, and other similar platforms.You are data driven, with a strong understanding of (or curiosity to learn) financial modelingYou are capable of cross-functional collaboration to make business decisions based on GPU efficiency and instance utilizationYou are Independent, self-sufficient, and has a strong desire (or curiosity) to automate processesYou have knowledge of (or interest in) LLM and token business modelsYou’re detail-oriented, self-organized, and collaborative. Strong experience with documentation and work tracking tools like Linear, Jira, Google Suite, GitHub, and more.You’ve shipped technical products/services across cross-functional teams (including remote/global stakeholders).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?As a Data Engineer specializing in pretraining data, you will play a pivotal role in developing the data pipeline that underpins Cohere’s advanced language models. Your responsibilities will encompass the end-to-end management of training data, including ingestion, cleaning, filtering, and optimization, as well as data modeling to ensure datasets are structured and formatted for optimal model performance. You will work with diverse data sources, such as web data, code data, and multilingual corpora, to ensure their quality, diversity, and reliability. By combining research and engineering, you will bridge the gap between raw data and cutting-edge AI models, directly contributing to improvements in critical training metrics like throughput and accelerator utilization.Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact.Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role between EST and EU.As a Member of Technical Staff, Data Engineering, you will:Design and build scalable data pipelines to ingest, parse, filter, and optimize diverse web datasets.Conduct data ablations to assess data quality and experiment with data mixtures to enhance model performance.Develop robust data modeling techniques to ensure datasets are structured and formatted for optimal training efficiency.Research and implement innovative data curation methods, leveraging Cohere’s infrastructure to drive advancements in natural language processing.Collaborate with cross-functional teams, including researchers and engineers, to ensure data pipelines meet the demands of cutting-edge language models.You may be a good fit if you have:Strong software engineering skills, with proficiency in Python and experience building data pipelines.Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or similar tools.Experience working with large-scale web datasets like CommonCrawl.A passion for bridging research and engineering to solve complex data-related challenges in AI model training.Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide and over 500,000 business users, Replit is democratizing software development by removing traditional barriers to application creation.We are looking for a SOC Engineer to join our Security Operations team and help defend a fast-moving, cloud-native AI vibe-coding platform. In this role, you will stay on top of emerging threats—from 0-days and active exploitation campaigns to bug bounty findings and customer-reported issues—and rapidly determine their relevance and potential impact to Replit. You will conduct investigations, analyze signals across our environment, and collaborate with Security, SRE, and Engineering teams to develop and drive effective containment and mitigation strategies.This is a hands-on, investigative role requiring strong technical depth, understanding of modern software engineering and CI/CD systems, familiarity with cloud-native infrastructure (especially GCP), and the ability to work across multiple teams in a fast-paced environment.ResponsibilitiesThreat Awareness & Rapid AssessmentContinuously monitor emerging threats, including bad actor activity, 0-day vulnerabilities, public exploitation campaigns, bug bounty reports, and customer-reported security issuesQuickly assess the applicability of these threats to Replit’s cloud infrastructure, SaaS services, internal tooling, and platform components. Investigation & Impact AnalysisConduct targeted investigations to determine whether Replit is already impacted by a newly discovered threat, vulnerability, or exploit.Analyze logs, telemetry, and system behaviors using SIEM, metrics, Cloud Logging, and related tools.Identify gaps or weaknesses in existing detection or visibility and propose improvements. Containment, Mitigation & Cross-Team CollaborationResearch potential impact paths and develop mitigation strategies for confirmed or applicable threats.Partner closely with Security, SRE, and Engineering teams to coordinate and implement containment, patches, configuration updates, or code-level fixes.Document findings, mitigations, and follow-up actions clearly for internal teams.Required Skills & ExperienceStrong understanding of software engineering fundamentals, including code structure, build systems, dependencies, and package ecosystems—enabling effective partnership with Engineering teams.Understanding of CI/CD pipelines and DevOps workflows, enabling collaboration with Infrastructure and DevOps teams.Solid knowledge of cloud architecture, especially Google Cloud Platform (GCP) services used in modern cloud-native deployments.Familiarity with SaaS architectures, identity systems, and integration patterns for effective collaboration with Cloud Security teams.Hands-on experience with SIEM, Cloud Logging, and log-based investigation workflows.Ability to perform investigations using log data, behavioral indicators, and threat intelligence.General understanding of vulnerability lifecycles, exploitability analysis, and common attack vectors.Preferred QualificationsExperience with threat intelligence, security research, or vulnerability analysis.Familiarity with Kubernetes, containers, serverless infrastructure, or modern distributed systems.Ability to write scripts or small tools for investigation or automation (Python, Go, Bash).Experience working with bug bounty programs or coordinated vulnerability disclosure workflows.Experience in fast-paced, cloud-native, or AI/ML-driven environments. What We ValueCuriosity & initiative: Strong desire to understand attacker behaviors, emerging threats, and how they apply to real-world systems.Speed & analytical rigor: Ability to quickly assess high-risk vulnerabilities with clear, evidence-based reasoning.Collaboration: Comfort working across cross-functional teams spanning Security, SRE, Engineering, and Infrastructure.Clear communication: Ability to explain findings, risks, and mitigation strategies to stakeholders at all levels.Ownership mindset: Takes initiative to drive investigations, improvements, and remediations to completionContinuous learning: Passion for staying up to date on new vulnerabilities, exploit trends, and cloud-native security best practices.This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.Full-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits📱 Monthly Wellness Stipend🧑‍💻 Autonoumous Work Environement🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office AmenitiesWant to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED TalkInterviewing + Culture at ReplitOperating PrinciplesReasons not to work at ReplitTo achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

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Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide and over 500,000 business users, Replit is democratizing software development by removing traditional barriers to application creation.We are looking for a Security Operations Lead (SOC Lead) to build, mature, and operate our 24/7 detection and response capabilities across a modern cloud-native and AI-driven environment. This role leads the global SOC function—monitoring, SIEM ownership, detection engineering, alert triage, and operational readiness—while also evaluating and integrating emerging AI-based SOC products and autonomous response platforms.You will oversee monitoring across multi-cloud environments (GCP primary, AWS/Azure secondary), Kubernetes, SaaS services, endpoints, developer tools, and AI workloads. You’ll collaborate closely with Cloud Security, Compliance/GRC, SRE, Platform Engineering, IT/Endpoint teams, and AI Infrastructure to ensure our detection strategy scales and stays ahead of evolving threats.This is a hands-on leadership role perfect for someone who wants to shape the SOC of the future while solving complex challenges in a high-scale AI setting.What You’ll DoSOC Leadership & 24/7 MonitoringLead, mentor, and scale a global SOC team responsible for 24/7 monitoring, alert intake, triage, correlation, and escalation.Build operational rigor: processes, runbooks, SLAs, metrics, and quality standards for high-scale environments.Cover monitoring across:Cloud infrastructure (GCP, AWS, Azure)Kubernetes/GKE/EKS/AKS clustersSaaS platforms (Google Workspace, GitHub, Slack, Okta, etc.)Endpoints (macOS, Linux, Windows) including EDR/XDR telemetryDeveloper platforms + CI/CD pipelinesAI/ML systems and model-serving workflows AI-Based SOC Integration & InnovationEvaluate, adopt, and integrate AI-native SOC technologies for triaging, detection, and correlationIdentify opportunities to automate triage, investigations, enrichment, and reporting.Serve as the internal expert on the capabilities and limitations of AI-based SOC tooling. SIEM & Telemetry OwnershipOwn the entire SIEM ecosystem—ingestion, normalization, correlation, enrichment, tuning, dashboards, and metrics.Expand telemetry across:Cloud logs, API logs, system eventsSaaS audit logs and admin eventsIdentity providers (Okta, Google, Azure AD)Endpoint EDR/XDR event streamsStandardize data schemas and improve detection signal quality across sources. Detection EngineeringDevelop high-fidelity detections for:Cloud-native attacksIdentity threats and lateral movementSaaS misconfigurations and privilege abuseEndpoint malware/behavior anomaliesInsider threats and account takeover patternsUse MITRE ATT&CK, MITRE Cloud Matrix, and threat intel to drive detection coverage.Collaborate with Engineering, Cloud Security, and SRE to ensure telemetry supports detection use cases. Triage, Threat Analysis & EscalationLead day-to-day triage and threat analysis activities, ensuring accurate categorization and prioritization.Drive complex investigations involving correlated events across cloud, SaaS, endpoints, and developer platforms.Guide root cause analysis and work with owners to drive remediation and architectural improvements.Continuously refine logic, reduce false positives, and improve signal quality. Cross-Functional CollaborationPartner with Cloud Security on cloud posture and preventative controls.Work with Compliance/GRC to support SOC 2, ISO 27001, and audit readiness.Collaborate with SRE and Engineering to instrument new services with structured logs and detection hooks.Coordinate with IT / Endpoint teams to ensure full endpoint telemetry and EDR response readiness.Communicate threats, gaps, and trends to leadership and engineering stakeholders. Required Skills & Experience7+ years of experience in Security Operations, with 3+ years in a senior or lead capacity.Experience leading or collaborating with 24/7 SOC environments (internal, hybrid, or MSSP).Strong experience with SIEM platforms (Chronicle, Splunk, Elastic, Sentinel, Panther, etc.).Deep understanding of:Cloud security monitoring (GCP required; AWS/Azure preferred)SaaS security monitoring (Okta, Google Workspace, GitHub, Slack, etc.)Endpoint security telemetry (EDR/XDR tools such as CrowdStrike, SentinelOne, or Defender)Kubernetes and container detectionHands-on detection engineering skills, event correlation, threat hunting, and log analysis.Familiarity with AI-based SOC platforms and LLM-driven detection/triage tools.Strong understanding of identity security, OAuth/OIDC, and API telemetry patterns.Experience with SOAR and scripting (Python, Go, Bash).Knowledge of MITRE ATT&CK, cloud kill chains, behavioral detections, and detection lifecycle management.Preferred QualificationsExperience with UBA/UEBA, ML-driven anomaly detection, or autonomous remediation systems.Previous experience at a high-growth tech company.Security certifications (GCIH, GCIA, GCTI, GCDA, GCFA, etc.).What We ValueOperational excellence: Building reliable, scalable SOC systems.Analytical rigor: Capable of making sense of large, complex, multi-source telemetry.Leadership: Mentorship and guidance of analysts and engineers.Adaptability: Comfortable evaluating and integrating next-gen AI-based SOC tools.Clear communication: Able to articulate risk, incidents, and recommendations to both technical and executive audiences.Automation mindset: Focused on reducing manual toil via SOAR, scripting, and AI augmentation. Curiosity: Passion for learning, experimenting, and staying ahead of evolving threats—especially those targeting cloud-native and AI systems.This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.Full-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits📱 Monthly Wellness Stipend🧑‍💻 Autonoumous Work Environement🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office AmenitiesWant to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED TalkInterviewing + Culture at ReplitOperating PrinciplesReasons not to work at ReplitTo achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?As a Machine Learning Engineer specializing in synthetic data, you will play a pivotal role in developing the synthetic data pipeline that is crucial to Cohere’s advanced language models. Your responsibilities will encompass the end-to-end management of synthetic data, including maintaining and optimizing the synthetic data pipeline, data analysis and generation, as well as conducting data ablations and model evaluation to gauge data quality. You will work with diverse web data and code data and transform them using generative models to improve token efficiency and model quality. By combining research and engineering, you will bridge the gap between raw data and cutting-edge AI models, directly contributing to improvements in critical training metrics like throughput and accelerator utilization.Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact.Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role between EST and EUAs a Member of Technical Staff, Synthetic Data, you will:Design and build scalable inference pipelines that run on large GPU clusters.Conduct data ablations to assess data quality and experiment with data mixtures to enhance model performance.Research and implement innovative synthetic data curation methods, leveraging Cohere’s infrastructure to drive advancements in natural language processing.Collaborate with cross-functional teams, including researchers and engineers, to ensure data pipelines meet the demands of cutting-edge language models.You may be a good fit if you have:Strong software engineering skills, with proficiency in Python and experience building data pipelines.Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or similar tools.Experience working with LLMs through work projects, open-source contributions or personal experimentation.Familiarity with LLM inference frameworks such as vLLM and TensorRT.Experience working with large-scale datasets, including web data, code data, and multilingual corpora.A passion for bridging research and engineering to solve complex data-related challenges in AI model training.Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide and over 500,000 business users, Replit is democratizing software development by removing traditional barriers to application creation.Join us at the forefront of AI and cloud-native security as we work to secure one of the most innovative developer platforms in the world. As the Cloud Security Lead, you will shape the cloud and infrastructure security program that protects millions of developers, enables safe AI-assisted development, and ensures organizations can confidently bring our platform into enterprise environments.In this role, you will own cloud security across GCP (primary) and supplemental environments in AWS and Azure, as well as containerized systems, SaaS platforms, and our multi-tenant AI infrastructure. You’ll improve our security posture through strong architecture, posture management, secure-by-default development practices, and close partnership with Engineering, Compliance, Security Architecture, and Platform teams.This is a highly impactful, hands-on leadership role—perfect for someone who wants to solve complex security challenges at scale while influencing product, engineering, and go-to-market teams.What You’ll Do:Cloud Security EngineeringLead configuration hardening across GCP, with additional oversight of workloads and integrations running in AWS and Azure.Own and optimize CSPM platforms across multi-cloud environments—establishing configuration baselines, guardrails, and remediation workflows.Secure critical SaaS platforms, ensuring proper configurations, access controls, and engineering integrations.Lead infrastructure vulnerability management across multi-cloud systems, containers, registries, and platform services.Enhance security across containerized and Kubernetes (GKE/EKS/AKS) workloads, including runtime protections, network policies, and workload identity.Assess secure logging configurations across cloud/SaaS providers, ensuring audit logs, retention, and routing meet monitoring and architecture needs. Secure Development & Architecture EnablementPartner with engineering teams to make services secure by default, embedding security into development workflows, CI/CD pipelines, and cloud-native deployments. Cross-Functional ResponsibilitiesCollaborate with Security Monitoring, Compliance/GRC, Architecture, DevOps, Platform Engineering, and ML Infrastructure.Participate in communicating security advisories, best practices, and updates to Replit’s customers.Support incident investigations as a cloud security subject-matter expert.Required Skills & Experience:7+ years of experience in cloud engineering, with 3+ years in a senior or lead role.Hands-on experience with CSPM tools (Wiz, Lacework, Prisma, Orca, SCC, etc.).Deep expertise in GCP security (IAM, VPC, KMS, GKE, Cloud Logging).Experience securing and governing SaaS platforms and identity integrations.Operational experience with infrastructure vulnerability management across cloud and container environments.Working knowledge of AWS and/or Azure security services and configurations.Experience with container and Kubernetes security across GKE, EKS, or AKS.Strong IaC security experience with Terraform, Pulumi, or similar tooling.Familiarity with compliance standards (SOC 2, ISO 27001, PCI DSS).Preferred Qualifications:Experience supporting engineering teams in building secure-first, cloud-native or PaaS environments.Background securing AI/ML pipelines, model-serving infrastructure, or developer platform services.Experience in high-growth technology or cloud-native product companies.Experience with securing AI/agentic systems and sensitive data pipelines.Automation/scripting with Python.Relevant certifications (e.g., GCP Professional Cloud Security Engineer, AWS/Azure security certs).What We Value:Problem-solving mindset — Ability to break down complex security and operational challenges into clear engineering solutions.Autonomy — Comfortable leading initiatives, collaborating effectively, and driving outcomes with minimal oversight.Communication excellence — Able to translate deep technical concepts for engineers, executives, and enterprise customers.Continuous learning — Passion for staying current with AI security, cloud-native advances, and emerging threats.Automation-first approach — Belief in reducing operational toil and building scalable, self-healing systems.This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.Full-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits📱 Monthly Wellness Stipend🧑‍💻 Autonoumous Work Environement🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office AmenitiesWant to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED TalkInterviewing + Culture at ReplitOperating PrinciplesReasons not to work at ReplitTo achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

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

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About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.  About the Role:   Glean is looking for a AI Marketing Engineer, Agents to help technical teams build agents that can automate real work processes. You’ll master the art of agent building, understand architectural best practices, and then translate those to the broader customer base and agent builders everywhere.   At Glean, we believe AI agents are the next generation of apps—working alongside and on behalf of users and teams to get high-value work done. Building these agents requires both an understanding of what’s possible with AI and how businesses operate. This combination of technical and business expertise is what will help enterprises accelerate their path to agent adoption. We’re looking for someone who has been hands-on building agents that transform businesses. You’ll play a key role in taking these learnings and educating the market: capturing the mindshare of technical teams building agents, building ready-to-use agents, and defining architectural best practices for agentic automation.   You will: Build and scale agents that transform how businesses operate, driving adoption through enablement resources such as implementation guides, blogs, and live build sessions. Understand enterprise agent architectures in depth and translate those learnings into whitepapers, consulting sessions, and best-practice guides for technical teams. Cultivate relationships with agent builders, capturing their feedback and turning it into actionable insights that deepen trust and engagement with Glean Agents. Empower technical teams by creating high-quality tutorials, how-to guides, and blog posts that demonstrate best practices and accelerate adoption of Glean Agents. Represent Glean at conferences and events showcasing real-world enterprise agent architectures and learnings. About you:   4+ years of experience in outbound solutions architecture, with a strong track record of understanding customer requirements, translating them into architectural best practices, and packaging product solutions that drive adoption. You should also have hands-on experience building agents. Deep understanding of AI models and agent systems — including planners, tool use, memory, context engineering, and evaluation — so you can clearly explain concepts and tradeoffs to technical teams. Ability to translate business goals into technical agent architectures, and package up resources for both internal and external teams on how to identify the right agents, design them effectively, and actually build them. Passion for communication, storytelling, and technical writing. You bring clarity to complexity and make technical ideas feel exciting, relevant, and actionable. Strong technical skills. You can build agents in code or natural language, evaluate their quality, and use advanced agent tools to meaningfully improve performance. Collaborative and influential. You work seamlessly across marketing, engineering, and product, helping take lessons learned and feed them to the broader agent-building community. Location:  This is a hybrid position based in our San Francisco or Palo Alto office. You should also be prepared to travel for events and workshops. Compensation & Benefits:   The standard base salary range for this position is $160,000 - $250,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.   #LI-HYBRID

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

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We're building the world’s leading AI-native Digital Experience Platform, and we’re doing it as a remote-first company built on trust, transparency, and a whole lot of creativity. This work takes grit, because we move fast, without ever sacrificing craft or quality. Our mission is to bring development superpowers to everyone. From entrepreneurs launching their first idea to global enterprises scaling their digital presence, we empower teams to design, launch, and optimize for the web without barriers. We believe the future of the web, and work, is more open, more creative, and more equitable. And we’re here to build it together.We're expanding our engineering team in Argentina, where we’re establishing several teams across key product areas, including:Cloud: On this team, you'll be responsible for a new product that allows customers to deploy fully operational web apps, mounted on their hosted domains. You’ll be working in our Designer Dashboard to integrate the new features, and in our infrastructure that enables these features.e-Commerce: On this team, you’ll work closely with Product, Design, Engineering, and Data Engineering teams to contribute to the development of our next generation Ecommerce platform, working across a robust ecosystem of Ecommerce tools and products, and building a first-class customer experience.You’ll have the opportunity to share your team preference during the interview process. Final placement will be confirmed once the interview process is complete.About the role:Location: Remote-first (Argentina)PermanentAs a Senior Software Engineer, Fullstack, you’ll …Design, and implement scalable multi-tenant backend services and APIs.Work with technologies such as Node.js, Javascript/Typescript, MongoDB, GraphQL, Apollo, Amazon Web Services EC2, S3, Lambdas, Kafka, and more.Demonstrable experience and expertise in multiple technical domains.Contribute to building and executing on functional strategy.Lead projects that directly contribute to team and engineering organization's deliverables.Produce maintainable, tested, performant, and scalable code.Author, collaborate on, and evaluate design documents.Influence technical designs and team-level prioritization as well as participate in technical solutions.Collaborate with product managers and designers in an autonomous, supportive team environment.Mentor junior engineers in technical skills and culture. Participate in engineering citizenship activities such as co-authoring engineering blogs, strengthening and improving our hiring processes, and leading internal hackathon teams.In addition to the responsibilities outlined above, we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role.About you:Requirements:Business-level fluency to read, write and speak in EnglishHave 5+ years developing and deploying web applications, with a proven track record of shipping code.Are familiar with Node.js and TypeScript and can write scalable services and APIs using Express.js, GraphQL, Apollo, and MongoDB.Can debug production issues across services and multiple levels of the stack.Have proven experience building complex web systems.Have used testing frameworks (e.g. Jest, Mocha, Playwright, Cypress).Are comfortable working in an agile, safe-to-fail, environment.Stay curious and open to growth — actively building fluency in emerging technologies like AI to unlock creativity, accelerate progress, and amplify impact.

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YOUR MISSION: As Business Development Representative you play a crucial role in scaling our business in North America by enhancing our revenue engine to become more predictable and scalable. You will be a key driver of revenue by actively sourcing new business - with a focus on enterprise customers.  IN THIS ROLE YOU WILL: Build the revenue engine together with the revenue growth team and our enterprise account executive team. Find, analyze and evaluate new market growth opportunities and build outreach plans to seize new customer opportunities. Build and take ownership of the sales pipeline, generating outbound leads and develop new sales opportunities. Build and nurture relationships with clients, providing them with insights to Parloa's innovative conversational AI platform. Assess client challenges, align with their needs, and showcase how Parloa's platform can deliver value and a strong return on investment. Our BDR Tech-stack: LinkedIn Sales Navigator, Salesforce, Outreach, Vidyard, Seamless, Apollo, Zoominfo WHAT YOU BRING TO THE TABLE: A BA/BS from an accredited university 1-2 years of experience in a fast past pace sales environment, ideally in the SaaS industry Experience crafting outbound sequences, including personalized and relevant messaging Excellent written/verbal communication skills Not afraid to pick up the phone and call prospects Born to network - we’re building relationships within complex enterprise environments Highly organized and knows how to prioritize when working on multiple projects at the same time Coachable and always looking/willing to learn and grow Comfortable working in a fast-paced and dynamic environment A self-starter who is dedicated, hungry, and driven to succeed WHAT'S IN IT FOR YOU? Be part of a dynamic, driven team of +30 nationalities with flat hierarchies and collaborative company culture  Hybrid work environment -We have a flexible work environment which allows for both remote and onsite working days.  We love to build real connections and want to welcome everyone in the office while also giving the flexibility to work remotely during the week as well.   Attractive compensation package Training and development budget which can be used for conferences and attending development courses to ensure continuous professional growth Invitation to join us in Berlin for an immersive company sponsored onboarding experience, where you’ll have the chance to delve into the Parloa product and immerse yourself in our dynamic company culture. Your recruiting process at Parloa: Recruiter Call → Hiring Manager Call  → Challenge Task → Meeting the team → Founder Interview  Salary Range$80,000—$108,000 USD  Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and CTO & co-founder, Tim Shi, an early member of Open AI.   We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world. About the role: As part of Cresta's Conversation Design team, you will assist in designing high quality AI conversation models that offer real-time coaching and assistance for our customers' contact center agents, and designing conversational experiences for virtual agents for both voice and chat. The role is highly collaborative and will require that you work closely with cross-functional team members from Machine Learning, Data Science, Program Management, Customer Success, Product Leadership, and Engineering. You may also work directly with customers to get alignment on our overall solution design and to enable customers to build their own models using Cresta Opera, our proprietary self-service tool. Responsibilities: Assist with all stages of our AI Delivery projects - designing, building, deploying, and tuning AI solutions for multiple customers. Collaborate with internal and external stakeholders to design and build solutions that help customers achieve their business objectives using Cresta's AI product suite. Assist in designing solutions for contact centers in sales, retention, collections, and customer service across a range of verticals, from financial services to telecommunications and everything in between. Define labeling guidelines to be used to train conversational AI models, and assist with labeling as needed. Lead model maintenance efforts to ensure that Cresta's AI models continue to meet our quality standards. Design and develop virtual agent solutions using Google's Dialogflow CX. Qualifications We Value: Strong communication skills (verbal and written). Desire to work in a fast-paced environment with the opportunity to learn and develop a wide range of skills. General knowledge of Conversational AI and natural language processing models. Background in Linguistics preferred. Experience working with Python is a plus. Experience working with Dialogflow CX or another bot design platform is a plus Perks & Benefits:  We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs Paid parental leave to support you and your family Monthly Health & Wellness allowance Work from home office stipend to help you succeed in a remote environment Lunch reimbursement for in-office employees  PTO: Flexible  Compensation at Cresta  Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family. Salary Range: $60,000–$95,000 + Offers Equity We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai 

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Our Vision & Products🚀 EverAI — Building the Future of AI CompanionshipOne of the Top 15 Largest & Fastest-Growing AI Companies in the World35+ Million Users in 2 years — Help Us Reach 100M first, 500M nextAt EverAI, we’re shaping what it means to connect with AI. With 35+ million users and counting, we're not just building products — we're creating entirely new categories.Our flagship product is the world’s largest AI girlfriend/boyfriend platform, redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first.And we’re only just getting started!Our TeamWe are an enthusiastic, passionate and hardworking team of 70 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO.Alexis Soulopoulos [CEO]• 10+ years in Tech Executive Leadership• Co-Founder Mad Paws Holdings (from 0 to IPO)• Forbes 30 under 30 + Deloitte TechFast50 ’22 & ‘23Michael Monin [Co-founder & CTO]• 10+ years as CTO / COO (web2/web3), 1+ year in AI/LLM• Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands)Thomas Lacroix [Co-founder & CMO]• 8+ years in Customer Acquisition & E-commerce Growth• Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue)Maruša Fasano [CFO/Legal]• 25+ years in Finance, Strategy, M&A• Ex-CFO/M&A @Curatible (exited to Blackstone)• Ex-President of the Board @SotremoSA (exited)• Co-founder/CFO @SoftOne (exited)The OpportunityWe aren't building a wrapper; we are building a massive-scale conversational intelligence. EverAI has created a platform dedicated to personalized human connection, enabling millions of users to create and interact with highly personalized AI companions.EverAI is processing 80 million tokens per day and growing. We are looking for a Tech Lead to take the helm of our LLM team (currently 3 engineers) and own the architecture, training, and deployment of the models that power our core product.This is a role for a builder. You won't just be managing Jira tickets; you will be writing production code, defining our alignment strategy, and shipping features used by millions of users globally. We operate in the uncensored/NSFW space, which presents unique, high-complexity challenges in alignment, moderation, and steerability that you won't find in standard corporate AI.Why this role is distinctMassive Scale: You will solve latency, throughput, and context management challenges at a scale of 80M+ daily tokens.Production Focus: This is not a research sandbox. If you fine-tune a model today, it impacts millions of users tomorrow.Nuanced Engineering: Because we are "uncensored," we cannot rely on lazy, blanket safety filters. You will build sophisticated classifiers and alignment strategies to balance user freedom with strict safety guardrails.What You Will Do1. Ship Code & Lead from the FrontAct as a Player/Coach: Architect the system and mentor the team, but spend significant time hands-on in the codebase (Python/PyTorch).Own the core chat loop: Optimize context windows, memory/RAG retrieval, and inference latency to ensure a seamless, real-time experience.2. Own the Model LifecycleDrive our strategy for SFT (Supervised Fine-Tuning) and RLHF/DPO (Preference Optimization). You decide when to prompt, when to fine-tune, and when to architect a new RAG pipeline.Manage the "Data Engine": oversee the sourcing, labeling, and cleaning of diverse datasets to improve model steerability and multicultural performance.3. Architect High-Precision ModerationBuild the immune system of the platform. You will design and train custom classifiers to detect and filter non-consensual or illegal content within an explicit environment.Move beyond binary "safe/unsafe" flags to create nuanced, context-aware moderation systems.Who You AreThe Non-Negotiables:You have shipped AI at scale. You have 8+ years of engineering experience, with a significant portion dedicated to shipping ML/LLM features to millions of active users.You are deeply technical. You are proficient in Python/PyTorch and comfortable with the modern LLM stack (vLLM, HuggingFace, fine-tuning pipelines, eval frameworks).You understand the "Uncensored" challenge. You are comfortable working with NSFW content and understand the technical rigor required to moderate it effectively without breaking the user experience.Intuition for Alignment: You understand the physics of LLMs—how prompt conditioning, temperature, and sampling affect the "soul" of a chatbot.Doer Mindset: You value velocity. You can distinguish between a "perfect" academic solution and a "shippable" production solution.Owner: You don't rent code. You obsess over metrics, regressions, and the user experience long after the code has been merged.The Tech Stack & EnvironmentScale: 80M+ Daily Tokens.Team: You + 3 AI Engineers (reporting to you) + DevOps/Web collaborations.Culture: High autonomy, low bureaucracy, direct line to the CTO.Are you ready to build the engine for millions of users? Let's talk.Why EverAI?📈 Exponential Growth: From 35M+ users in 2 years, to 100M next — and 500M beyond🚀 Track Record of Category-Creating Innovation: We consistently launch world-first AI applications — setting the pace, not following it🌍 Global Impact: Top-tier user growth, real-world adoption, and cultural relevance🧠 Proven Leadership: A senior team that’s launched, scaled, and exited & IPO’d multiple scale ups — now fully focused on reshaping AI companionship👥 Elite Remote Team: 100% remote and built to win — world-class talent from Tier 1 tech companies, with a culture of ownership, velocity, and radical creativity🛡️ Ethical Core: Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology, ensuring responsible development at scaleWhat We Offer✍️ Contract Type: We prefer B2B, but we’re flexible, what matters is long-term commitment and impact 📍 Work From Anywhere: Fully remote. Choose the environment where you do your best work 🏝️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset 👨‍👩‍👧‍👦 Annual Gathering: A yearly in-person meetup to connect, brainstorm, and celebrate wins together ❤️‍🩹 Health & Wellness Support: Up to $200 per year for wellbeing expenses + unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available for up to three family members) 🏢 Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected 📚 Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications 💻 Equipment: Company laptop provided + monitor budget up to $250 for your workspace setup ⚡ AI Tools Access: Premium access to ChatGPT, Cursor, Hugging Face, and others, to power your ideas and workflows🎯 Top Tier Talent Is Our MultiplierWe’re a fully remote group of A-players from Tier 1 tech, led by an exec team who’ve launched, scaled, and exited multiple companies. We move fast, and care deeply about what we build — and who we build it with.We’re looking for exceptional talent ready to ship & distribute world-first AI products at scale, fast, and co-create with us this category-defining business.If that’s you — reach out and apply!💡 External Referral ProgramKnow someone who could be a great fit for this role? You can refer them through the EverAI External Referral Program and earn a bonus of up to $2,500 if they’re hired. Submit a referral here.

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

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Genies is an avatar technology company powering the next era of interactive digital identity through AI companions. With the Avatar Framework and intuitive creation tools, Genies enables developers, talent, and creators to generate and deploy game-ready AI companions. The company’s technology stack supports full customization, AI-generated fashion and props, and seamless integration of user-generated content (UGC). Backed by investors including Bob Iger, Silver Lake, BOND, and NEA, Genies’ mission is to become the visual and interactive layer for the LLM-powered internet. About the opportunity We are looking for a Backend Software Engineer Intern (LLM) to join our AI Engineering Team based in San Francisco, CA or Los Angeles, CA. The team is responsible for developing the backend infrastructure powering the Genies Avatar AI framework. You will contribute to the next generation of AI 3D avatar entertainment experience, and be involved with designing, coding, and testing software according to the requirements and system plans. You will be expected to collaborate with senior engineers and other team members to develop software solutions, troubleshoot issues, and maintain the quality of our software. You will also be responsible for documenting their work for future reference and improvement. Our internship program has a minimum duration of 12 weeks. Key Responsibilities Develop and deploy LLM agent systems within our AI-powered avatar framework. Design and implement scalable and efficient backend systems to support AI applications Collaborate with AI and NLP experts to integrate LLM, and LLM-based systems and algorithms into our avatar ecosystem. Work with Docker, Kubernetes, and AWS for AI model deployment and scalability Contribute to code reviews, debugging, and testing to ensure high-quality deliverables. Minimum Qualifications Currently pursuing OR a recent graduate from a  Master's degree or Bachelor's in Computer Science, Engineering, Machine Learning, or related field. Course or internship experience related to the following areas : Operating Systems, Data Structures & Algorithms, Machine Learning Strong programming skills in Python, Java, or C++ Excellent written and verbal communication skills Basic understanding of AI/LLM concepts and enthusiasm for learning advanced techniques. Preferred Qualifications Experience in building ML /LLM powered software systems. Previous Computer Science/Software Engineering Internship experience Solid understanding of LLM agents, retrieval-augmented generation (RAG), and prompt engineering. Experience with AWS, Docker and Kubernetes Experience with  CI/CD pipelines Experience with API design, schema design Here's why you'll love working at Genies: Salary $40-$50 per hour. You'll work with a team that you’ll be able to learn from and grow with, including support for your own professional development You'll be at the helm of your own career, shaping it with your own innovative contributions to a nascent team and product with flexible hours and a hybrid(office+home) policy You'll enjoy the culture and perks of a startup, with the stability of being well funded  Flexible paid time off, sick time, and paid company holidays, in addition to paid parental leave, bereavement leave, and jury duty leave for full-time employees Health & wellness support through programs such as monthly wellness reimbursement   Choice of MacBook or windows laptop Genies is an equal opportunity employer committed to promoting an inclusive work environment free of discrimination and harassment. We value diversity, inclusion, and aim to provide a sense of belonging for everyone. 

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About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.  The Role   We have experienced incredible growth and are now looking for a member of the Talent Team to continue to expand. Working collaboratively across all verticals of the business, you will help create a frictionless end-to-end recruitment effort and a positive candidate experience. This role is a great for someone wanting to jump into start-up talent acquisition in a high-paced and very friendly and supportive environment.  What you will do Assist in managing the end-to-end recruitment process, including job postings, candidate screening, interview scheduling, and offer preparation. Coordinate and communicate with candidates and hiring managers to ensure a smooth interview process. Maintain and update our Applicant Tracking System (ATS) with accurate candidate information and status updates. Ensure a positive and engaging candidate experience from application through onboarding. Assist in sourcing and identifying potential candidates through various channels, including job boards, social media, and networking events. Conduct initial phone screens to assess candidate fit and interest Help with branding activities such as blog posts, events, and maintaining social media   What the ideal candidate looks like 1-2 years of experience in recruitment, HR, or a related field is preferred, Strong communication and interpersonal skills High attention to detail and a proactive approach to problem-solving Ability to work effectively both independently and as part of a team Ability and interest to work with quantitative data A positive attitude and a willingness to learn and grow within the role High interest in technology and AI would be desirable   What we offer Equity options – share in our success and growth. 5% 401(k) match – invest in your future. Flexible working – balance your work and life in a way that works for you. Hybrid setup – enjoy our Manhattan office while keeping remote flexibility. Enhanced parental leave – support for life’s biggest milestones. Private healthcare – comprehensive coverage for you and your family. Personal development – access learning and training to help you grow. Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.   Salary range: $90,000 - 140,000 depending on experience  Seniority will be assessed throughout our interview process   We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.    We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.   

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About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.  The Role   We have experienced incredible growth and are now looking for a member of the Talent Team to continue to expand. Working collaboratively across all verticals of the business, you will help create a frictionless end-to-end recruitment effort and a positive candidate experience. This role is a great for someone wanting to jump into start-up talent acquisition in a high-paced and very friendly and supportive environment.  What you will do Assist in managing the end-to-end recruitment process, including job postings, candidate screening, interview scheduling, and offer preparation. Coordinate and communicate with candidates and hiring managers to ensure a smooth interview process. Maintain and update our Applicant Tracking System (ATS) with accurate candidate information and status updates. Ensure a positive and engaging candidate experience from application through onboarding. Assist in sourcing and identifying potential candidates through various channels, including job boards, social media, and networking events. Conduct initial phone screens to assess candidate fit and interest Help with branding activities such as blog posts, events, and maintaining social media   What the ideal candidate looks like 1-2 years of experience in recruitment, HR, or a related field is preferred, Strong communication and interpersonal skills High attention to detail and a proactive approach to problem-solving Ability to work effectively both independently and as part of a team Ability and interest to work with quantitative data A positive attitude and a willingness to learn and grow within the role High interest in technology and AI would be desirable   What we offer Equity options – share in our success and growth. 5% 401(k) match – invest in your future. Flexible working – balance your work and life in a way that works for you. Hybrid setup – enjoy our Manhattan office while keeping remote flexibility. Enhanced parental leave – support for life’s biggest milestones. Private healthcare – comprehensive coverage for you and your family. Personal development – access learning and training to help you grow. Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.   Salary range: $90,000 - 140,000 depending on experience  Seniority will be assessed throughout our interview process   We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.    We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.   

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About Us Symbolica is an AI research lab pioneering the application of category theory to enable logical reasoning in machines. We’re a well-resourced, nimble team of experts on a mission to bridge the gap between theoretical mathematics and cutting-edge technologies, creating symbolic reasoning models that think like humans – precise, logical, and interpretable. While others focus on scaling data-hungry neural networks, we’re building AI that understands the structures of thought, not just patterns in data. Our approach combines rigorous research with fast-paced, results-driven execution. We’re reimagining the very foundations of intelligence while simultaneously developing product-focused machine learning models in a tight feedback loop, where research fuels application. Founded in 2022, we’ve raised over $30M from leading Silicon Valley investors, including Khosla Ventures, General Catalyst, Abstract Ventures, and Day One Ventures, to push the boundaries of applying formal mathematics and logic to machine learning. Our vision is to create AI systems that transform industries, empowering machines to solve humanity’s most complex challenges with precision and insight. Join us to redefine the future of AI by turning groundbreaking ideas into reality.About the Role As a DevOps Engineering Lead working closely with our Head of ML Engineering, you will lead the design, build, and optimize the infrastructure and tools that enable us to take our research and development efforts from the lab into a highly reliable, performant and secure software stack in production. You'll help accelerate the processes involved in going from research prototypes into production and enterprise ready platforms with security, availability and reliability in mind. Your work will be at the intersection of research and engineering, ensuring our R&D team has the robust platform they need to push the boundaries of AI, working with our GPU vendors, cloud providers, and on-prem servers. 📍 This is an onsite role that is based in our SF office (345 California St.) Key Responsibilities - Focus on improving the reliability and performance of our Lambda cluster and model training pipeline. - Assist in managing multiple Kubernetes environments across cloud providers - Maintain and build the internal observability platform across all environments, covering everything from GPUs, AI applications and distributed backend systems. - Take ownership of our model training and deployment systems, bringing them to a more scalable, production-ready state. - Aid in building comprehensive CI tests for GitOps repositories and promotion systems - Build and maintain different environments for research and client facing products according to best practices About You - 5+ years of experience in DevOps, or infrastructure roles, with at least 2 years in machine learning infrastructure or MLOps. It would be a benefit if you have either built, maintained, or managed ML infrastructure using DevOps practices in the past. - Proficient in cloud-native architectures, with the ability to make the right tradeoffs where necessary - Experienced with Linux, containers, GPU management, Nix, Kubernetes and an interest in making sure the infrastructure behind our models is secure by design. - Exceptional problem-solving skills with the ability to nimbly solve edge-cases with minimum disruption. - Solid software engineering skills in Rust, Golang or Python What We Offer Competitive salary and early-stage equity package. A high-trust, execution-first culture with minimal bureaucracy. Direct ownership of meaningful projects with real business impact. A rare opportunity to sit at the interface between deep research and real-world productization. Read more about Symbolica: https://fortune.com/2024/04/09/vinod-khosla-former-tesla-autopilot-engineer-ai-models/ https://venturebeat.com/ai/move-over-deep-learning-symbolicas-structured-approach-could-transform-ai/ Symbolica is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, religion, disability, or sexual orientation.  Symbolica is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, religion, disability, or sexual orientation.