Вакансии

Location: Berlin Workplace: OnSite ABOUT PEEC AI AI search is changing how brands are discovered and chosen. People now ask ChatGPT, Gemini, Claude and Google’s AI answers what they used to search for, and AI assistants increasingly shape the journey from discovery to purchase. Winning customers now means winning over the AI systems that influence their decisions. Peec AI is an AI search platform that helps marketing teams understand and improve how their brands are discovered, represented, and recommended. We show them where they stand, what’s shaping it, and where to act. Since launching in January 2025, Peec AI has passed $20M ARR and 4,000 paying customers. We’re a Series A company backed by 20VC and Singular, with 100+ people across our Berlin HQ and our New York office. ABOUT THE ROLE Peec AI is building the data plane for AI visibility: millions of chats, scrapes, citations, sources, model responses, and customer-facing insights running through a fast-moving backend. This role is for an engineer who wants to own the systems behind that. You will not just add endpoints or close tickets. You will make our scraping, chat-processing, source-ingestion, and analytics infrastructure more reliable, cheaper, faster, and easier for the rest of the team to reason about. The best fit looks like someone who can debug a provider outage in the morning, design a better queueing model before lunch, ship a TypeScript service change in the afternoon, and write the postmortem or follow-up ticket clearly enough that the next engineer immediately knows what to do. We are especially interested in people who have built or operated systems with real constraints: rate limits, flaky third-party APIs, queues, webhooks, retries, distributed locks, data migrations, observability gaps, customer pressure, and cost ceilings. WHAT WE’RE LOOKING FOR - 5+ years of backend, platform, infrastructure, or distributed systems engineering experience in a production environment. - Deep hands-on TypeScript experience. We run TypeScript services on Bun, and we care about people who can design clean, reliable backend systems rather than only write application code. - Strong understanding of queues, workers, retries, rate limits, idempotency, distributed locks, webhooks, and failure handling. - Experience operating systems under real production pressure: incidents, provider outages, customer escalations, noisy alerts, slow dependencies, and incomplete data. - Comfort with cloud-native infrastructure. Our stack includes GCP, Kubernetes, Cloud Tasks, Pub/Sub, RabbitMQ, Redis, Postgres, Firestore, ClickHouse, Prometheus, Grafana, and OpenTelemetry. - Ability to debug across layers: application code, logs, metrics, queues, provider APIs, databases, network behaviour, and deployment state. - Product-minded judgement. You can separate internal detail from customer-safe explanation, and you understand when a “small infra change” has customer, security, or cost implications. - High ownership and low ego. We want people who take responsibility for ambiguous systems, ask sharp questions, and make the team better through clear thinking and kindness. - A bias toward durable fixes. You do not stop at “restart the pod” if the real issue is retry amplification, missing backpressure, an unsafe parser assumption, or a provider limit we do not model. TECH STACK - Languages: TypeScript, Python - Runtime/frameworks: Bun, Elysia, Node-compatible services - Cloud/infrastructure: GCP, Kubernetes, Cloud Tasks, Pub/Sub, Firebase/Firestore, Postgres, ClickHouse, Redis, RabbitMQ - Observability: Prometheus, Grafana, OpenTelemetry, structured logging - Product/data domain: LLM chats, AI search, source scraping, citation extraction, provider integrations, customer-facing analytics - AI/model providers: OpenAI, Anthropic/Claude, Perplexity, Gemini, Google AI Mode / AI Overview, plus scraping/provider APIs around them WHAT WE OFFER - Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups - Regular team events and off-sites - Aggressive equity compensation package - Paid Dinner & Uber home when working late - The most beautiful office space and work environment in Berlin

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity The Asset Team strives to deliver a top-tier asset management experience to users in OKX. With a focus on user satisfaction, the team is responsible for key functionalities of crypto funding movement, portfolio management & asset transparency. By continuously refining and enhancing these core aspects, the Asset Team aims to provide customers with an exceptional user experience, empowering them to effectively manage their crypto assets with ease and confidence. What You’ll Be Doing Own the end-to-end product design and evolution of on-chain fund movement, allocation, and settlement capabilities. Define clear fund movement logic and controls to ensure fund security, traceability, auditability, and alignment with applicable regulatory and operational requirements. Own the infrastructure for on-chain deposits and withdrawals, with a focus on end-to-end stability and scalability. Support the integration of cross-functional modules, including Risk and Compliance controls, while ensuring the overall deposit and withdrawal flow remains reliable and seamless. Build operational tools, monitoring capabilities, and standardized operating procedures for deposit and withdrawal and fund movements operations . Improve automation and enable operational issues to be identified, investigated, and resolved efficiently. Partner closely with Engineering teams to deliver high-quality product requirements, drive timely project delivery, and continuously monitor post-launch performance and operational health. Collaborate with internal stakeholders to define and prioritize infrastructure requirements in line with business and customer needs. Establish clear ownership and responsibilities across teams and drive initiatives through to completion. What We Look For In You Bachelor's or Master's degree in a relevant field (e.g., computer science, engineering, fintech, business). Prior working experience in well-known Internet/cryptocurrency companies such as Facebook, Amazon, Airbnb, Coinbase, etc. preferably in wallet and custody infra, payments, clearing and settlement, or related transaction infrastructure. Strong understanding of blockchain technology, cryptocurrency wallets, and the mechanics of on-chain transactions. Rigorous, detail-oriented, and composed under pressure. High sense of ownership and accountability. Excellent analytical and problem-solving skills, with the ability to make data-driven decisions and prioritize competing demands. Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and influence stakeholders. Proficiency in English as it can be used as a working language, Mandarin speaking will be mandatory. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ONSITE #LI-WWW Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: London & San Francisco Workplace: onsite THE OPPORTUNITY THE OPPORTUNITY Apollo Research works with most frontier AI companies (OpenAI, Anthropic, Google, Meta, Thinking Machines and others) to test their models before deployment and collaborate on fundamental scheming research. Our coding agent security product, Watcher, is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and enterprises.  We are looking for a security & control expert  to help us design better threat models and control protocols against AI adversaries, and improve the effectiveness and security of Watcher.  This is truly a "start-up role" in the sense that you have significant say in shaping the direction of the role. This is an individual contributor role but could lead to management responsibilities eventually, if desired. KEY RESPONSIBILITIES Threat modeling for coding agents Develop threat models for coding agents under the assumption that they could be misaligned or compromised. This includes near-term threats like AI agents leaking private internal data and long-term threats like agents sabotaging safety research. Treat coding agents through the lens of insider risk: they have credentials, access to code, network access, and the ability to execute arbitrary actions, just like a malicious insider would (see Control agenda ). Map out kill chains and attack progressions similar to frameworks like MITRE ATT&CK, adapted for agentic AI. See e.g. the Agentic Loss-of-Control Threat Matrix for an example of a high-quality contribution. Build and maintain our “coding agent security levels” which define what level of robustness Watcher provides against different categories of failure modes. These levels should be concrete, testable, and usable both internally (to guide product priorities) and externally (to communicate our security posture to customers). Failure mode library and literature Maintain our library of coding agent failure modes and keep it comprehensive, accurate, and current. Stay up to date with the academic and industry literature on coding agent security, AI security, and adjacent fields (prompt injection, deception, accidental security implications, supply chain attacks on AI systems, etc.). Attack design for monitor development Design realistic attack trajectories and example exploits for monitor development and backtesting, work with the research team to ensure monitors are trained and evaluated against credible adversarial behavior. Trajectory adjudication Serve as security adjudicator for flagged trajectories. When monitors flag ambiguous agent behavior, determine whether it represents a genuine attack, a benign-but-unusual workflow, or needs deeper investigation, and feed those judgments back into monitor improvement. Red-teaming Watcher Red-team and improve Watcher's monitors and policies, document findings, and feed them into product improvement. Work with the technical research staff to build adversarial test suites into the backtesting pipeline. *This role is distinct from the AI Security Researcher role on Apollo's Infra & Security team, which threat-models Apollo's own internal systems and the agents operating on them. REPRESENTATIVE PROJECTS Develop a comprehensive coding agent threat model: Think deeply about all the ways in which coding agents could attack an organization. Compare this threat model to conventional threats from human insiders. Publish a detailed research piece describing the threat model building on existing research, e.g. from Redwood Research. Improve our database of failure modes: We have an internal database of 50+ failure modes of coding agents with detailed reports for all of them. For this project, you would provide an expert view on the current state of that database and suggest improvements. In the long run, you would maintain that database and be responsible for integration of new failures. Prioritize failure modes that Watcher should cover: Different parts of Watcher attempt to cover different threat models and attack strategies. Based on the results of the threat model project above, we want to ensure that each part of Watcher covers the most important failure modes in the most efficient way. For example, not all monitors require blocking capability and some failure modes might benefit from additional affordances like being able to disperse subagents. JOB REQUIREMENTS Must-haves 5+ years in security roles in a hands-on technical capacity (not purely GRC/compliance). You need to be able to think structurally about threat modeling and failure modes. You need to be able to read code, understand infrastructure, and evaluate technical controls, not just write policies. Direct experience with security research, threat modeling, or offensive security. Comfortable working in a small, fast-moving team, and comfortable owning ambiguous, open-ended research questions. Strong written communication this role produces threat models, security levels, and failure mode documentation that need to be clear and precise Nice-to-haves Experience with AI/ML systems security, LLM security, or AI control research. The field is young enough that deep experience here is rare, but any exposure significantly reduces ramp-up time. Detection engineering, SOC, or incident analysis experience. A part of this role is judging whether flagged agent behavior is genuinely malicious, and people who have triaged real-world alerts might ramp much faster. Familiarity with insider threat programs or insider risk frameworks. The mental model of "the coding agent is a potentially malicious insider" is useful for this role and someone who has worked on insider threats will pick it up faster. Red teaming or offensive security background. Useful for the Watcher red-teaming responsibilities and for thinking adversarially about failure modes. Formal AI safety research background. Helpful but not necessary. We need security practitioners who can learn the AI safety context, not AI safety researchers who need to learn security. Explicitly not required Management experience. This is an IC role, at least initially. Specific certifications (CISSP, etc.). We care about demonstrated ability, not credentials. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: San Francisco : $204,000 – $385,000; London : £136,000 – £258,000. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) LOGISTICS Time Allocation : Full-time Location : This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and some wfh arrangements. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT THE TEAM The product team consists of research scientists: Victor Gillioz, Monika Jotautaitė, Dmitrii Volkov; product engineers: Jeremy Neiman, Zak Walters, Zen van Riel, Srdjan Miletic and Gustavo Bicalho; and our GTM lead: Kyle Dai. Marius Hobbhahn (CEO) advises the team. Furthermore you will interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight.  We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. HOW TO APPLY Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, a take-home test (3 hours), 3 technical interviews, and a final interview with Marius (CEO). There are no leetcode-style general coding interviews. You may use AI tools on the take-home; we judge the result the way we'd judge any contributor's work, so you are responsible for the quality of everything you submit. If you want to prepare, we suggest building simple monitors for coding agents and running them on your own Claude Code / Cursor / Codex / etc. traffic. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: San Francisco; Remote; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE The Model Performance organization at Baseten is looking to hire our first Technical Program Manager. This is a zero-to-one role in a team that is responsible for building the core algorithms and methods that power Baseten’s high performance inference stack. You won't inherit an existing program framework, you'll build one from the ground up: the planning structure, execution processes, metrics and the cross-functional alignment that a fast-growing organization needs. Your contributions will directly impact how fast our performance R&D gets productized. If you can drive turning a set of ambitious but loosely defined initiatives into a predictable, well-governed program, this role is for you. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Model Performance team: - How to build a day-0 API for Kimi K3 https://www.baseten.co/blog/how-to-build-a-day-zero-api-for-kimi-k3/ - How we built the new fastest API for GLM-5.2 https://www.baseten.co/blog/how-we-built-the-new-fastest-api-for-glm-52/ - Inference engineering for DeepSeek V4 Pro 0813 https://www.baseten.co/blog/inference-engineering-for-deepseek-v4-pro-0813/ RESPONSIBILITIES - Own execution across Model Performance's active project portfolio, freeing the team's technical leads to focus on technical direction rather than tracking. - Design and stand up the planning structures, operating cadences, and status reporting mechanisms that best fits the team’s DNA. - Coordinate model release and optimization programs end to end, including day-zero launches, sequencing the work across performance engineering, infra, and release stakeholders. - Drive cross-team alignment as scope expands from Model Performance Core into Model APIs and the inference production stack (BIS). - Surface risks and dependencies early, and keep leadership informed with clear, honest status. - Partner with engineering leads to design team structures and ownership boundaries as the org scales. REQUIREMENTS - Deep technical program management experience - you're already running programs of this scope at an organization of similar or greater complexity. - Experience program-managing model performance or inference optimization work - you understand how engines like vLLM, TensorRT-LLM, SGLang, or NVIDIA Dynamo fit into a production serving stack and can engage credibly with the engineers building on them. - Demonstrated comfort with ambiguity and zero-to-one program building, not just executing an existing framework. - Proven ability to influence without authority across engineers, managers, and leadership who don't report to you. - Excellent written and verbal communication, with the ability to make deeply technical programs legible to any audience. - High agency decision making that demonstrates ownership, accountability and a strong desire to get things done. NICE TO HAVE - Experience coordinating model release programs, including day-zero launches (ideally for large-scale models). - Prior hands-on software engineering background. - Deep learning performance optimization background, in training or inference, with inference preferred. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: New York, NY; Pittsburgh, PA Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems , running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. About the role... Duolingo’s Enterprise Engineering team builds and operates the internal platforms, identity systems, and automation that power how Duos work every day. We apply modern engineering practices—infra as code, CI/CD, and internal tools—to deliver secure, reliable, and scalable employee experiences. As a Senior Enterprise Engineer, you will design and ship high‑impact projects across identity and access, SaaS integrations and governance, device/endpoint platforms, and employee lifecycle automation. You’ll partner closely with Security, Finance, Legal, and Platform to reduce toil through automation, improve reliability, and turn policy into maintainable workflows and code. This role is based in New York City or Pittsburgh. We believe exceptional candidates come from all backgrounds. If you meet only some of the qualifications below, we encourage you to apply! 🧠  You will... Design and implement foundational enterprise services (e.g., identity and access management, SaaS integrations, MDM/endpoint, internal tooling) with reliability, security, and scalability in mind. Build and evolve infrastructure‑as‑code, CI/CD, and configuration‑as‑code patterns; contribute modules/templates and participate in reviews to raise the engineering bar across Enterprise Engineering. Automate employee lifecycle workflows (onboarding, transfers, offboarding), RBAC/SCIM provisioning, and policy enforcement across core systems like Okta, Google Workspace, Slack, and Atlassian. Define and measure SLOs for internal services; create dashboards, alerts, and runbooks; participate in incident response and on‑call for enterprise platforms. Partner with Security, Finance, Legal, and Procurement to implement SaaS governance, license optimization, and risk controls—codifying processes into auditable, testable workflows. Deliver cross‑functional initiatives end‑to‑end: author clear specs, align stakeholders, de‑risk launches, and land durable outcomes with strong documentation. ✅  You have... Proven impact shipping multi‑stakeholder engineering projects that improve reliability, efficiency, or employee experience at scale. Hands‑on experience with infrastructure‑as‑code and CI/CD (e.g., Terraform and modern pipelines) to manage identity, SaaS, or internal platform configuration. Strong background in identity and access management concepts and integrations (SSO/SAML/OIDC, SCIM provisioning, RBAC/ABAC) across enterprise systems. Proficiency building automations and internal tooling that integrate with APIs for systems like Okta, Google Workspace, Slack, and Atlassian. Operational excellence: you define SLOs, build dashboards/alerts/runbooks, and contribute to on‑call/incident response for internal platforms. Clear, concise communication and documentation skills; you collaborate effectively with Security, Finance, Legal, and Platform partners. The ability to work from or relocate to New York City or Pittsburgh. ⭐  Exceptional candidates will have... Experience implementing SaaS governance and license optimization programs with Finance/Procurement and Security partners. A track record building reliable joiner/mover/leaver automation at scale, including data pipelines and policy guardrails. Experience defining and landing engineering standards for internal platforms (module libraries, templates, checkers, documentation patterns) adopted org‑wide. Prior ownership of MDM/endpoint platforms and fleet‑level automation for security/compliance baselines. Incident leadership experience for enterprise systems and the ability to drive lasting post‑incident improvements. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $162,400 — $219,700 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: London & San Francisco Workplace: onsite THE OPPORTUNITY Apollo Research works with most frontier AI companies (OpenAI, Anthropic, Google, Meta, Thinking Machines and others) to test their models before deployment and collaborate on fundamental scheming research. Our coding agent security product, Watcher, is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and enterprises.  Security exists at Apollo to safeguard the trust our lab partners place in us and to enable that research. Our own team runs around 400 billion tokens a month through AI agents, which makes Apollo both a target and a testbed. We’re hiring Security Engineers to join the Infra & Security Team.  In this role, you will design, implement, and deploy the security controls that keep Apollo secure, and make the secure path the default path for everyone. You will build the security layer for a novel insider risk that didn't exist before. RESPONSIBILITIES Design, build, and operate Apollo's core security controls: identity and access management, infrastructure and cloud security, endpoint management, and incident response. Build paved roads that make the secure path the default, easy path Establish and advocate for security practices across Apollo, and build the organizational trust needed for people to adopt them, communicating security decisions and tradeoffs clearly along the way. Evaluate vendors and tooling, make build-vs-buy calls on security infrastructure, and assess vendor security posture before adoption. Lead major security projects end to end, from ideation through implementation and rollout. Collaboratively define and shape the security roadmap and priorities. KEY REQUIREMENTS Must-haves 5+ years in security roles in a hands-on technical capacity (not purely GRC/compliance). You'd need to be able to think structurally about threat modeling and failure modes. You need to be able to read code, understand infrastructure, and evaluate technical controls. Engineering mindset. You treat security as an engineering problem. You are capable of, and willing to, build custom solutions when the task demands it, rather than relying on 'glueing' together off-the-shelf tools. You prioritize automation and systems-level thinking to scale security, and you are comfortable leveraging AI to accelerate development. Direct experience with application security, cloud security, or product security. Ideally you’ve owned or significantly contributed to the security posture of an organisation that handles sensitive customer data. Influence without authority. You have a track record of building buy-in for security practices and being trusted by non-security people. Startup pace. You are excited about a fast-moving environment, comfortable with ambiguity and changing priorities, and willing to grind when it matters. Nice-to-haves Software engineering experience We would be excited to have candidates who have the one or more of these specialisations: Zero-trust architectures Sandboxing Detection engineering GRC engineering Incident response Endpoint management (Kandji, Jamf, or similar) Identity/access management Explicitly not required Deep AI/ML security or LLM-specific expertise Formal AI safety research background. We need security practitioners who can learn the AI safety context, not AI safety researchers who need to learn security. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. REPRESENTATIVE PROJECTS Zero trust migration: Design and deliver an incremental path from Apollo's current cloud architecture toward zero trust, including hands-on implementation and deployment reducing the blast radius if any single credential, device, or agent is compromised. Agentic SOC: Design and build an internal agentic SOC from scratch; automate triage and investigation of security alerts so detection coverage scales with Apollo's growing use of AI agents. Sandbox hardening: Review Apollo's sandboxing infrastructure; propose and implement changes that improve security while minimizing impact on researcher productivity. Third-party access review: Implement a lean, streamlined access review process for third-party software that people will actually use. Incident response: Lead an incident response effort end to end: containment, root cause, and the post-mortem that turns it into a durable fix. Pentesting tooling: Decide which agentic pentesting solution Apollo will use, and whether to build or buy. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: San Francisco : $214,000 – $280,000; London : £144,000 – £189,000. We will be looking to meaningfully raise salaries soon. Our engineers effectively have an unlimited token budget. If a better result costs more compute, use it. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) LOGISTICS Time Allocation: Full-time Location: This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and some wfh arrangements. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT THE TEAM The Infra and Security team is currently led by Rusheb Shah and consists of Glen Rodgers and Steven Lee. You will work closely with Security Researchers we’re hiring for as well as technical staff from the Scheming Research and Product team. You can find our full team here. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight.  We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. HOW TO APPLY Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, a take-home test (approx. 2-3 hours), 3 technical interviews, and a final interview with Marius (CEO). There are no leetcode-style general coding interviews. You may use AI tools on the take-home; we judge the result the way we'd judge any contributor's work, so you are responsible for the quality of everything you submit. If you want to prepare, we suggest building simple monitors for coding agents and running them on your own Claude Code / Cursor / Codex / etc. traffic. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: London & San Francisco Workplace: onsite THE OPPORTUNITY Apollo Research works with most frontier AI companies (OpenAI, Anthropic, Google, Meta, Thinking Machines and others) to test their models before deployment and collaborate on fundamental scheming research. Our coding agent security product, Watcher, is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and enterprise.  Security exists at Apollo to safeguard the trust frontier labs place in us and to enable that research. Our own team uses AI agents extensively across its work, which makes Apollo both a target and a testbed. We’re hiring AI Security Researchers to join the Infra & Security Team.  In this role, you will identify, research and remediate both conventional threats and the novel risks introduced by AI agents that can affect Apollo and our mission. You will redefine and work on a new class of insider risk that didn’t exist before. RESPONSIBILITIES Hold responsibility for the security of Apollo’s internal surfaces. Red-team internal software, infrastructure, and AI agent access controls/monitoring. Build realistic attack trajectories. Design solutions for novel or emerging threats in the AI security space, where no existing playbook applies. Set the standard for our security posture in these areas. Track adversary tactics, techniques, and campaigns relevant to Apollo's threat landscape, and translate that intelligence into tuned, high-signal detections. Own each finding through to a deployed fix. Build and roll out durable controls: checks, tests, defaults, detections. Socialise them, work with engineers to implement, and hold remediation to a high bar. KEY REQUIREMENTS Must haves 5+ years in security roles in a hands-on technical capacity (not purely GRC/compliance). You'd need to be able to think structurally about threat modelling and failure modes. You need to be able to read code, understand infrastructure, and evaluate technical controls. Direct experience with offensive security. Threat modelling, red teaming, etc. Knowledge of application or cloud. Ideally you owned or significantly contributed to the security posture of an organisation or product that handles sensitive customer data. Engineering mindset. You treat security as an engineering problem. You can translate your findings into fixes and controls, such as paved roads, custom detection rules, adversarial test suites, CI/CD integrations. You prioritize automation and systems-level thinking to scale security, and you are comfortable leveraging AI to accelerate development. Startup pace. You are excited about a fast-moving environment, comfortable with ambiguity and changing priorities, and willing to grind when it matters. Strong written communication. This role produces a lot of artifacts (threat models, reports, failure mode documentation) and they need to be clear and precise. Nice to haves Experience with AI/ML systems security or LLM security. Detection engineering, SOC, or incident analysis experience. Familiarity with insider threat programs or insider risk frameworks. Explicitly not required Formal AI safety research background. We need security practitioners who can learn the AI safety context, not AI safety researchers who need to learn security. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. REPRESENTATIVE PROJECTS Red-team Apollo's agent sandboxes used for evals: Test whether an agent can escape isolation, exfiltrate data, detect it's being evaluated, or otherwise undermine the validity of eval results. Your findings will harden the sandbox infrastructure the research team depends on to trust its own eval results. Comprehensive coding agent threat model : Map every way a coding agent with internal access: credentials, code, network, execution ability,  could attack Apollo, benchmarked against what a human insider with the same access could do. As well as the representative projects from the Security Engineer role BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: San Francisco : $214,000 – $280,000; London : £144,000 – £189,000. We will be looking to meaningfully raise salaries soon. Our engineers effectively have an unlimited token budget. If a better result costs more compute, use it. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) LOGISTICS Time Allocation: Full-time Location: This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and some wfh arrangements. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT THE TEAM The Infra and Security team is currently led by Rusheb Shah and consists of Glen Rodgers and Steven Lee. You will work closely with Security Engineers we’re hiring for as well as technical staff from the Scheming Research and Product team. You can find our full team here. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight.  We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. HOW TO APPLY Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, a take-home test (approx. 2-3 hours), 3 technical interviews, and a final interview with Marius (CEO). There are no leetcode-style general coding interviews. You may use AI tools on the take-home; we judge the result the way we'd judge any contributor's work, so you are responsible for the quality of everything you submit. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE As an Engineering Manager for Postgres, you will lead a group of talented engineers building and maintaining the Render Postgres product. This role blends strong technical leadership with product thinking: you’ll partner closely with product managers and designers to translate user needs into a high-quality, scalable system, that hundreds of thousands of developers rely on every day. You’ll be responsible for guiding technical direction, developing engineers, and ensuring the team ships meaningful improvements quickly while maintaining the high standards that define Render’s platform. The ideal candidate brings a strong engineering background, a deep sense of ownership, experience building stateful services, and a passion for building products that developers love.   WHAT YOU'LL DO - Lead and grow a team of postgres engineers, supporting their development through mentorship, feedback, and clear technical guidance. - Drive execution on key product initiatives from ideation through launch, balancing speed with high standards of reliability and quality. - Partner closely with Product, Design, and Infra teams to translate customer needs into thoughtful technical solutions and product roadmaps. - Engage deeply in technical discussions, guiding system design decisions and helping the team navigate architectural tradeoffs. - Foster a culture of ownership, accountability, and continuous improvement across engineering practices and team processes. - Help the team break down complex problems into incremental milestones that deliver value quickly while supporting long-term platform evolution. - Ensure teams maintain a strong understanding of the developer experience and customer impact of the features they build. - Stakeholder Collaboration: Partner closely with product management, customers, and internal teams to understand needs, align priorities, and ensure delivery of impactful features and solutions.   WHAT WE'RE LOOKING FOR - 8+ years as an Engineer shipping products and/or features that have downstream impact on the business and product ecosystem. Ideally, experience with building stateful services. - 2+ years of experience managing people and developing engineers, including hiring, mentorship, and performance management. - Strong technical background with the ability to engage deeply in system design, architecture, and engineering tradeoffs. - Product-oriented mindset with experience translating business goals and user needs into engineering roadmaps and shipped features. - Ability to balance urgency with thoughtful execution, helping teams ship quickly while maintaining high quality. - Excellent communication and collaboration skills, with the ability to work effectively across engineering, product, and design. - A strong sense of ownership and accountability for both team outcomes and long-term system health. NICE-TO-HAVES: - Experience building products for developer platforms, cloud infrastructure, or DevTools. - Background working on highly scalable distributed systems or infrastructure platforms. - Experience improving engineering velocity through tooling, processes, and team practices. - Experience building products used directly by developers or technical users. - A track record of successful collaboration with product, marketing, and customer support teams to drive adoption and retention. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE As an Engineering Manager for Object Storage, you will build and lead a group of talented engineers creating an object storage product (and in the future, abstractions on top of object storage) on the Render platform. This role blends strong technical leadership with product thinking: you’ll partner closely with product managers and designers to translate user needs into a high-quality, scalable system, that developers rely on every day. You’ll be responsible for guiding technical direction, developing engineers, and ensuring the team ships meaningful improvements quickly while maintaining the high standards that define Render’s platform. The ideal candidate brings a strong engineering background, a deep sense of ownership, experience building stateful services, and a passion for building products that developers love.   WHAT YOU'LL DO - Build and lead a team of object storage engineers, supporting their development through mentorship, feedback, and clear technical guidance. - Drive execution on key product initiatives from ideation through launch, balancing speed with high standards of reliability and quality. - Partner closely with Product, Design, and Infra teams to translate customer needs into thoughtful technical solutions and product roadmaps. - Engage deeply in technical discussions, guiding system design decisions and helping the team navigate architectural tradeoffs. - Foster a culture of ownership, accountability, and continuous improvement across engineering practices and team processes. - Help the team break down complex problems into incremental milestones that deliver value quickly while supporting long-term platform evolution. - Ensure teams maintain a strong understanding of the developer experience and customer impact of the features they build. - Stakeholder Collaboration: Partner closely with product management, customers, and internal teams to understand needs, align priorities, and ensure delivery of impactful features and solutions.   WHAT WE'RE LOOKING FOR - 8+ years as an Engineer shipping products and/or features that have downstream impact on the business and product ecosystem. Ideally, experience with building stateful services. - 2+ years of experience managing people and developing engineers, including hiring, mentorship, and performance management. - Strong technical background with the ability to engage deeply in system design, architecture, and engineering tradeoffs. - Product-oriented mindset with experience translating business goals and user needs into engineering roadmaps and shipped features. - Ability to balance urgency with thoughtful execution, helping teams ship quickly while maintaining high quality. - Excellent communication and collaboration skills, with the ability to work effectively across engineering, product, and design. - A strong sense of ownership and accountability for both team outcomes and long-term system health. NICE-TO-HAVES: - Experience building products for developer platforms, cloud infrastructure, or DevTools. - Background working on highly scalable distributed systems or infrastructure platforms. - Experience improving engineering velocity through tooling, processes, and team practices. - Experience building products used directly by developers or technical users. - A track record of successful collaboration with product, marketing, and customer support teams to drive adoption and retention. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: San Francisco; Palo Alto; London; Berlin; New York City Perplexity is seeking top-tier AI Research Scientists and Engineers to advance our AI products and capabilities. We're building the future of AI-powered search and agent experiences through our Sonar models, Deep Research Agent, Comet Agent, and Search products. Join us in creating SOTA experiences that handle hundreds of millions of queries and continue to scale rapidly. Team Structure Depending on your interests and expertise, you'll work on one of three specialized teams: 1. Core Research Team (Horizontal) Focus on generating and improving base models that power all our products. This team works on foundational model capabilities, post-training techniques, building RL infra and infrastructure that benefits the entire organization. 2. Agent Products Team (Vertical) Concentrate on fine-tuning and optimizing models for our Deep Research Agent and Labs/Canvas products. This team bridges research and product, ensuring our agent capabilities deliver exceptional user experiences. 3. Comet Agent Team (Vertical) Dedicated to developing and enhancing our Comet Agent product. This specialized team focuses on the unique requirements and optimizations needed for Comet's specific use cases. Responsibilities Research & Development - Post-train SOTA LLMs using the latest supervised and reinforcement learning techniques (SFT/DPO/GRPO) - Leverage our rich query/answer dataset to scale model performance across Sonar, Deep Research, Comet, and Search products - Stay current with the latest LLM research, especially in model training, optimization, and personalization techniques - Implement preference optimization and personalization capabilities to enhance user experience - Invent in-house improvements and optimizations to enhance SOTA models - Turn research ideas into algorithms and run experiments to launch new models Infrastructure & Implementation - Own full-stack data, training, and evaluation pipelines required for model development - Build robust and effective training frameworks (on top of Megatron/PyTorch) for post-training LLMs - Implement necessary infrastructure and components to support cutting-edge model training at scale - Integrate models seamlessly into our product ecosystem Collaboration - Work closely with engineering teams to integrate models into Perplexity's product suite - Collaborate across teams to ensure cohesive AI experiences throughout our platform - Partner with product teams to understand user needs and translate them into model improvements Qualifications Required - Proven experience with large-scale LLMs and Deep Learning systems - Strong programming skills in Python/PyTorch; versatility is a plus - Experience with post-training techniques and reinforcement learning - Self-starter with a willingness to take ownership of tasks - Passion for tackling challenging problems - Minimum 2-6 years of experience on relevant projects (depending on seniority level) Nice-to-have - PhD in Machine Learning, AI, Systems, or related areas - Experience in post-training LLMs with SFT/DPO/GRPO - C++/CUDA programming skills - Experience building LLM training frameworks - Academic publications and research impact - Experience with agent systems and multi-step reasoning - Background in personalization and preference learning

Location: San Francisco; Palo Alto; London; Berlin; New York City Perplexity is seeking top-tier AI Research Scientists and Engineers to advance our AI products and capabilities. We're building the future of AI-powered search and agent experiences through our Sonar models, Deep Research Agent, Comet Agent, and Search products. Join us in creating SOTA experiences that handle hundreds of millions of queries and continue to scale rapidly. Team Structure Depending on your interests and expertise, you'll work on one of three specialized teams: 1. Core Research Team (Horizontal) Focus on generating and improving base models that power all our products. This team works on foundational model capabilities, post-training techniques, building RL infra and infrastructure that benefits the entire organization. 2. Agent Products Team (Vertical) Concentrate on fine-tuning and optimizing models for our Deep Research Agent and Labs/Canvas products. This team bridges research and product, ensuring our agent capabilities deliver exceptional user experiences. 3. Comet Agent Team (Vertical) Dedicated to developing and enhancing our Comet Agent product. This specialized team focuses on the unique requirements and optimizations needed for Comet's specific use cases. Responsibilities Research & Development - Post-train SOTA LLMs using the latest supervised and reinforcement learning techniques (SFT/DPO/GRPO) - Leverage our rich query/answer dataset to scale model performance across Sonar, Deep Research, Comet, and Search products - Stay current with the latest LLM research, especially in model training, optimization, and personalization techniques - Implement preference optimization and personalization capabilities to enhance user experience - Invent in-house improvements and optimizations to enhance SOTA models - Turn research ideas into algorithms and run experiments to launch new models Infrastructure & Implementation - Own full-stack data, training, and evaluation pipelines required for model development - Build robust and effective training frameworks (on top of Megatron/PyTorch) for post-training LLMs - Implement necessary infrastructure and components to support cutting-edge model training at scale - Integrate models seamlessly into our product ecosystem Collaboration - Work closely with engineering teams to integrate models into Perplexity's product suite - Collaborate across teams to ensure cohesive AI experiences throughout our platform - Partner with product teams to understand user needs and translate them into model improvements Qualifications Required - Proven experience with large-scale LLMs and Deep Learning systems - Strong programming skills in Python/PyTorch; versatility is a plus - Experience with post-training techniques and reinforcement learning - Self-starter with a willingness to take ownership of tasks - Passion for tackling challenging problems - Minimum 2-6 years of experience on relevant projects (depending on seniority level) Nice-to-have - PhD in Machine Learning, AI, Systems, or related areas - Experience in post-training LLMs with SFT/DPO/GRPO - C++/CUDA programming skills - Experience building LLM training frameworks - Academic publications and research impact - Experience with agent systems and multi-step reasoning - Background in personalization and preference learning

Location: US Remote Workplace: Remote Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Location: Remote (US East Coast/Central) As our team and customer base grow, we need to make sure our security efforts scale accordingly. For that, we are looking to expand the Synthesia Infosec team by onboarding an additional Security Engineer (L6)! You will report to the Head of Security and work within the Security Operations team. KEY RESPONSIBILITIES: - Build and own deeply technical security improvements across our Cloud Infrastructure(s) and associated territory (AWS/GCP, Kubernetes, CI/CD), including shipping production changes yourself when needed. - Design, implement, and iterate on detection and response capabilities (SIEM, EDR/MDR, cloud-native detections, CNAPP) with an engineer’s bias for automation, reliability, and measurable outcomes. - Hunt, investigate, and respond to security alerts and suspicious activity end-to-end (triage → containment → eradication → recovery → learnings), including writing tooling and detection logic to prevent recurrence. - Build internal security tooling and automations (IaC, scripts, integrations) that reduce toil and raise the security bar by default. EXPERIENCE & QUALIFICATIONS: - You’re a deeply technical security engineer with a builder/hacker mindset, able to go from idea → prototype → production and comfortable making changes directly in Cloud Infra / DevOps systems. - You have 5+ years of hands-on security engineering experience, ideally in a cloud-first SaaS environment. - Have worked in a fast-growing startup, scale-up and/or SaaS company WE WOULD EXPECT YOU TO HAVE EXPERIENCE IN: - Cloud security engineering in AWS and/or GCP, with the ability to implement improvements hands-on (IAM, networking, compute, storage, logging). - Kubernetes security (cluster hardening, workload isolation, runtime security, policy controls) and container ecosystems. - DevOps fundamentals: CI/CD security, secrets management, artifact integrity, and secure-by-default platform patterns. - Incident response and investigation, including creating repeatable playbooks and automating response where appropriate. - Strong programming/scripting ability (Python or similar) plus comfort with infrastructure-as-code (e.g., Terraform) and automation. - Serious agent coding - ideally you’re on the bleeding edge in the space. - Endpoint security tooling, such as CrowdStrike Bonus points for: - Hands on experience with any/all of: Hunters, Wiz, Falcon, Tracebit, Torii, Okta, Google Workspace, StrongDM, Github, StepSecurity, Dope Security - Any relevant Information Security certification, e.g AWS Certified Security, GIAC GWEB, OSCP, or CSSLP. THE GOOD STUFF.. In addition to being a part of a great team, working in a fun and innovative environment, we offer: - A competitive salary + stock options in our fast-growing Series E startup - Remote-friendly environment - 100% Medical, Dental & Vision - 401k Plan - Paid parental leave - 25 days of annual leave + Public holidays + paid sick leave - Fun culture with regular socials - A generous referral scheme - A brand new computer + monitor - Budget and support for conference travel, community events, and content production

Location: Remote Workplace: Remote COMPANY At 0x https://0x.org/, our mission is to "Create a Tokenized World Where All Forms of Value Can Flow Freely". We deliver this to web3 builders with a delightfully simple suite of developer APIs that provide faster trading, better prices, and superior user experience. Founded in 2017, we’ve processed over 211M+ transactions and $180B+ in trading volume from users trading on Matcha, Coinbase Wallet, Robinhood Wallet, Phantom, Rainbow, DefiLlama, MetaMask, Zerion, Zapper, and many more. Our investors include Greylock Partners, Pantera Capital, and Jump Crypto. When you join 0x, you’ll become part of a veteran team of crypto builders who know the importance of code quality, team cohesion, and a culture of learning. ABOUT THE ROLE We're looking for a Senior Product Manager to work directly with our CEO across our suite of trading APIs and new product initiatives. This is a hands-on IC role on a lean product team. You'll be deep in the data, close to customers, and working alongside engineers from concept through to launch. This suits a strategic operator with a founder mentality. You take ownership, default to action, and drive things end to end without waiting for explicit instructions. When the data is incomplete, you form a thesis and validate it with prototypes, fast experiments, and tight iterations. WHAT YOU'LL DO - Own strategy and roadmap for your product area - an existing set of our trading APIs or a net-new initiative - Form your product ideas and decisions from three independent sources, not one: - What customers tell you. Have regular check-ins with them, analyze their metrics, understand their pain points and what they're building next - What customers can’t tell you. Dig into onchain and internal data to spot gaps in our performance, shifts in the competitive landscape, and emerging opportunities - What you see yourself. You're plugged into DeFi and active in trading communities. You know firsthand what works and what doesn't - Be a true partner to our engineering leads - reason through hard problems with them, weigh the tradeoffs, and decide what's worth building - Partner with GTM on positioning and driving adoption - Work directly with the CEO and leadership to help shape product direction WHO YOU ARE - 6+ years in product, or the equivalent as a founder, GM, or trader who moved into building - Shipped B2B, API, or infra products with real adoption and revenue - Data-driven - you build your own Dune dashboards and dig into API performance and internal analytics in Grafana, Metabase, or similar - Technically fluent - you hold your own with engineers on routing, execution quality, latency, and whatever else the problem demands - DeFi-native - onchain trading, perps, dex aggregation. You're the user you're building for - Expert AI user - you run agents, automate your workflows, and build tooling that multiplies your output - You exhibit our core values: https://0x.org/post/the-0x-mission-and-valuesdo the right thing, consistently ship, and focus on long-term impact - Able to attend annual in-person team offsites around the globe NICE TO HAVE - Founded a company or was an early builder at a technology startup - taking a product from zero to one - CS background, or an ex-engineer who moved into product - Strong experience in EVM and/or Solana ecosystems - Strong understanding of financial markets - Experience mentoring or up-leveling other PMs BENEFITS - The base salary range for this position is USD $170,000 - $270,000 + equity + ZRX tokens + benefits. Within the range, individual pay is determined by job-related skills, experience, location, business needs, and candidate preferences between the different compensation elements. - Comprehensive insurance (medical/dental/vision/life/disability) for U.S.-based employees — 100% of base plan covered for you and dependents - 401k and FSA for U.S.-based employees - Monthly mobile phone bill, wellness, and pre-tax transportation expense - Covered mental health benefits (included professional therapy sessions) - A supportive remote environment - Lunch reimbursement for all employees across the globe! - Stipend for your ideal remote / WFH set-up: headphones, and any other work gear you may need - 12-week paid parental leave - Great office conveniently located in the SF Financial District for those in the region! - Flexible vacation: Take time when you need it (and we really mean it!) 0x and its associated entities are dedicated to fostering diversity, inclusion, and belonging in its teams and workforce, and are proud to be equal opportunity employers. 0x does not make employment or hiring decisions on the basis of race, color, creed, religion, sex (including those who are pregnant or have given birth), sexual orientation, gender, gender expression or identity, age, disability, medical condition, genetic information, military or veteran status, marital status, pregnancy, citizenship, national origin, immigration or citizenship status, political affiliation, or any other basis that is protected by applicable local, state, or federal laws. This includes not making such decisions based on the status itself, as well as any associations, perceptions, and assumptions made regarding these statuses. 0x will also consider qualified applicants with arrest and conviction records in a way that is consistent with San Francisco’s Fair Chance Ordinance and similar local laws. Our commitment to equal employment opportunity extends to ensuring that all applicants and employees can perform to their fullest potential, including through obtaining reasonable accommodations when necessary.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render is building a channel partnerships program from the ground up, and we're hiring our first Head of Revenue Partnerships to lead it — reporting to our VP of Revenue. You'll build Render's relationships with development agencies, PE firms, and — over time — systems integrators, to help Render customers who are migrating off competitive platforms, or who are pursuing new builds with Render. WHAT YOU'LL DO - Map partner types — agencies, PE firms, SIs — and determine which are the best fit for Render's product and customer base. - Build relationships with execs at partner firms to understand their priorities, pricing, and delivery models. - Develop commercial agreements with partners to co-sell Render alongside their own services, to both existing and net-new customers. - Develop Render-specific narrative and enablement materials: decks, pilot frameworks, ROI overviews. - Design co-marketing models with partners — customer dinners, digital campaigns, conferences, and joint events. - Work with our technology partner team to build a co-sell motion for large & enterprise accounts. - For partners with a portfolio model, like PE firms, design scaled activation programs — webinars, cohorts, office hours — that drive Render adoption across many portfolio companies at once, without requiring 1:1 touch on every account. - Drive the creation of new pipeline for both Render and the partner, and own the path from first engagement to partner-qualified referral to closed revenue. - Set up the operating rhythm of each partnership: regular engagement cadences, co-sell activity, and a clear, repeatable path from first call to referral. - Partner closely with Render's internal Sales and Delivery/CS leaders to align on how reps and partners work together, keep deal registration and pipeline hygiene clean, and avoid channel conflict with internal teams - Define and report on success metrics for the channel, evolving from early engagement signals toward pipeline and revenue impact as the program matures. - Build out a team of partner managers over time, dedicated to each partner type. WHAT WE'RE LOOKING FOR - 10+ years of experience in B2B partnerships, sales, GM/general management, or solutions engineering roles, ideally at a B2B SaaS, Infra or PLG company. - A generalist with strong seller DNA — someone who is outcomes-obsessed and comfortable being measured on pipeline creation, deal influence, and revenue, not just relationship-building. - Comfort building a program without a playbook: you can hypothesize, run small experiments, and iterate quickly rather than waiting for a fully-formed process. - Real experience working with solutions partners, agencies, or SIs — ideally in co-sell, referral, or partner-sourced revenue motions. - A proven record of getting deals done — willingness to travel, get in front of partners in person, and find creative ways to keep partners engaged and motivated. - Strong cross-functional operating skills — you'll work daily with Sales, Delivery/CS, Product Marketing, and Legal, and need to build trust and alignment across all of them. - Comfort operating at the executive level, both with partner leadership and internally at Render. - A technical enough orientation to credibly engage with developer-focused partners and speak to how AI is changing the questions partners are asking. NICE-TO-HAVES - Experience building or scaling a channel program at an infrastructure, dev-tools, or other PLG-motion company. - Familiarity with partner/ecosystem tooling such as Crossbeam, or experience running account mapping and pipeline reviews jointly with external partners. - Experience navigating the emerging AI SI / AI consulting partner category. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Remote (United Kingdom) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role If you’re passionate about solving technical issues and providing high-quality support to a diverse community of users, this is the role for you. We’re seeking a motivated Support Engineer (Tier 1) to join our growing team of support professionals. You will serve as the face of the company for a large portion of our community, handling a broad range of tickets that will help flex your technical muscles. As a Tier 1 engineer, you’ll be part of a distributed team focused on delivering excellent support and proactively solving friction by partnering with our broader CX team and Product/Eng. This role reports directly to the Tier 1 Support Team Lead and will play a key role in our journey. Key Responsibilities Act as the primary technical resource for less complex issues, resolving a wide range of configuration and networking challenges to keep them unblocked. Manage a high-velocity ticket queue with a consistent focus on meeting targets for time to first response and time to resolution. Drive positive user outcomes and maintain high CSAT scores by providing clear, helpful, and accurate technical guidance. Balance a high volume of daily ticket replies while maintaining the technical depth required to troubleshoot complex networking issues. Partner cross-functionally to identify recurring friction points and advocate for improvements to the user experience. What We Are Looking For Display a natural tinkerer’s mindset and a deep curiosity for how things work, likely demonstrated through personal projects, homelabs, or open-source contributions. Demonstrate a foundational understanding of networking fundamentals, including DNS, IP addressing, firewalls, and routing. Show proficiency in troubleshooting across multiple operating systems such as macOS, Windows, Linux, and mobile OS’s. Some familiarity with Jira and Slack to manage internal workflows and communicate effectively with the team and customers Exhibit excellent written communication skills, with the ability to explain complex technical concepts with empathy and clarity. Maintain a proactive approach to learning new technologies and staying current with evolving infra tools. As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. UK Pay Range £49,770 — £78,210 GBP What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: London Perplexity is revolutionizing how people discover and interact with information through AI-powered search and knowledge tools. As we expand our global footprint, we're establishing a strategic presence in London to drive innovation and growth across Europe. The Role: We're seeking an exceptional Site Lead to establish and scale our London office. This is a unique opportunity to shape Perplexity's presence in one of the world's leading tech hubs, building teams and culture from the ground up while driving technical excellence in infrastructure and AI systems. As Site Lead, you'll serve as the face of Perplexity in London, responsible for building our technical organization, fostering a world-class engineering culture, and directly managing one or more infrastructure teams. You'll report to senior leadership and work cross-functionally with teams across our global footprint.   The individual in this role will manage teams in LON themselves while also facilitating.   Responsibilities: Site Leadership & Culture - Establish and lead Perplexity's London office, setting the cultural foundation and operating principles - Build a collaborative, high-performance engineering culture that aligns with Perplexity's values while embracing the strengths of the London tech ecosystem - Serve as the primary point of contact for all London-based activities and represent the site in company-wide strategic discussions - Partner with People/HR, Finance, and Operations to ensure seamless site operations - Drive local community engagement, partnerships, and Perplexity's brand presence in the London and European tech community   Technical Leadership: - Directly manage and mentor one or more infrastructure or AI infrastructure teams in London (5-15+ engineers) - Set technical direction and strategy for London-based infrastructure initiatives in alignment with company-wide goals - Drive architectural decisions and technical excellence across teams - Ensure robust systems for deployment, monitoring, scalability, and reliability of infrastructure supporting AI/ML workloads - Collaborate with engineering leaders globally to align on technical standards, best practices, and cross-site initiatives   Team Building & Talent: - Build and scale high-performing infrastructure and AI infrastructure teams through strategic hiring - Develop and execute talent acquisition strategy for the London site in partnership with recruiting - Create career development frameworks and growth opportunities for engineers - Foster technical mentorship and knowledge sharing across teams and sites     Cross-functional Collaboration: - Partner with Product, Engineering, and Research teams globally to understand infrastructure needs and deliver solutions - Coordinate with other site leads and engineering leaders to ensure effective cross-site collaboration - Contribute to company-wide infrastructure strategy and roadmap planning - Facilitate knowledge transfer and best practice sharing across global teams Qualifications: Required - 10+ years of experience in software engineering with 5+ years in infrastructure, cloud infrastructure, or AI infrastructure roles - 3+ years of people management experience, including building and scaling teams - Proven track record of establishing or significantly growing an engineering site or office - Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation - Experience with infrastructure supporting large-scale AI/ML systems, including: - GPU infrastructure and orchestration - ML training and inference pipelines - Model serving and deployment at scale - Strong understanding of modern infrastructure technologies: Kubernetes, Terraform, container orchestration, CI/CD systems - Demonstrated ability to set technical vision and drive execution across multiple teams - Excellent communication and stakeholder management skills - Experience working in fast-paced, high-growth technology companies - Passion for building inclusive, diverse, and high-performing teams Preferred - Experience at companies focused on AI/ML, search, or large-scale consumer applications - Previous experience as a site lead, office lead, or similar multi-team leadership role - Background in building infrastructure for LLM training or inference - Contributions to open-source infrastructure or AI infrastructure projects - Experience scaling teams from 0 to 20+ engineers - Active involvement in the London or European tech community - MBA or advanced technical degree What Success Looks Like: 30 Days - Deep understanding of Perplexity's infrastructure, technology stack, and organizational structure - Established relationships with key stakeholders across engineering, product, and leadership - Initial hiring plan and culture strategy for London site established - Help the Search, API, AI and Infra teams build out their hiring pipelines   90 Days - Core infrastructure team established and ramping in London - Clear technical roadmap and priorities defined for London-based teams - Site culture and operating rhythms established (team meetings, all-hands, cross-site syncs) - London office actively participating in company-wide infrastructure initiatives   1 Year - London site operating as a high-functioning hub with 15-30+ engineers - Infrastructure teams delivering measurable impact on system reliability, performance, and scalability - Strong talent brand established in London market with healthy hiring pipeline - London recognized internally as a strategic site contributing to Perplexity's technical leadership   Why Join Perplexity - Ground-floor opportunity to build and lead a strategic site for a fast-growing AI company - Work on cutting-edge AI infrastructure challenges at massive scale - Shape the culture and technical direction of an entire office - Competitive compensation including equity - Comprehensive benefits package - Flexible work environment - Opportunity to make a significant impact on how millions of people access and interact with information Location: London, United Kingdom (Hybrid)  Perplexity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: London Perplexity is revolutionizing how people discover and interact with information through AI-powered search and knowledge tools. As we expand our global footprint, we're establishing a strategic presence in London to drive innovation and growth across Europe. The Role: We're seeking an exceptional Site Lead to establish and scale our London office. This is a unique opportunity to shape Perplexity's presence in one of the world's leading tech hubs, building teams and culture from the ground up while driving technical excellence in infrastructure and AI systems. As Site Lead, you'll serve as the face of Perplexity in London, responsible for building our technical organization, fostering a world-class engineering culture, and directly managing one or more infrastructure teams. You'll report to senior leadership and work cross-functionally with teams across our global footprint.   The individual in this role will manage teams in LON themselves while also facilitating.   Responsibilities: Site Leadership & Culture - Establish and lead Perplexity's London office, setting the cultural foundation and operating principles - Build a collaborative, high-performance engineering culture that aligns with Perplexity's values while embracing the strengths of the London tech ecosystem - Serve as the primary point of contact for all London-based activities and represent the site in company-wide strategic discussions - Partner with People/HR, Finance, and Operations to ensure seamless site operations - Drive local community engagement, partnerships, and Perplexity's brand presence in the London and European tech community   Technical Leadership: - Directly manage and mentor one or more infrastructure or AI infrastructure teams in London (5-15+ engineers) - Set technical direction and strategy for London-based infrastructure initiatives in alignment with company-wide goals - Drive architectural decisions and technical excellence across teams - Ensure robust systems for deployment, monitoring, scalability, and reliability of infrastructure supporting AI/ML workloads - Collaborate with engineering leaders globally to align on technical standards, best practices, and cross-site initiatives   Team Building & Talent: - Build and scale high-performing infrastructure and AI infrastructure teams through strategic hiring - Develop and execute talent acquisition strategy for the London site in partnership with recruiting - Create career development frameworks and growth opportunities for engineers - Foster technical mentorship and knowledge sharing across teams and sites     Cross-functional Collaboration: - Partner with Product, Engineering, and Research teams globally to understand infrastructure needs and deliver solutions - Coordinate with other site leads and engineering leaders to ensure effective cross-site collaboration - Contribute to company-wide infrastructure strategy and roadmap planning - Facilitate knowledge transfer and best practice sharing across global teams Qualifications: Required - 10+ years of experience in software engineering with 5+ years in infrastructure, cloud infrastructure, or AI infrastructure roles - 3+ years of people management experience, including building and scaling teams - Proven track record of establishing or significantly growing an engineering site or office - Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation - Experience with infrastructure supporting large-scale AI/ML systems, including: - GPU infrastructure and orchestration - ML training and inference pipelines - Model serving and deployment at scale - Strong understanding of modern infrastructure technologies: Kubernetes, Terraform, container orchestration, CI/CD systems - Demonstrated ability to set technical vision and drive execution across multiple teams - Excellent communication and stakeholder management skills - Experience working in fast-paced, high-growth technology companies - Passion for building inclusive, diverse, and high-performing teams Preferred - Experience at companies focused on AI/ML, search, or large-scale consumer applications - Previous experience as a site lead, office lead, or similar multi-team leadership role - Background in building infrastructure for LLM training or inference - Contributions to open-source infrastructure or AI infrastructure projects - Experience scaling teams from 0 to 20+ engineers - Active involvement in the London or European tech community - MBA or advanced technical degree What Success Looks Like: 30 Days - Deep understanding of Perplexity's infrastructure, technology stack, and organizational structure - Established relationships with key stakeholders across engineering, product, and leadership - Initial hiring plan and culture strategy for London site established - Help the Search, API, AI and Infra teams build out their hiring pipelines   90 Days - Core infrastructure team established and ramping in London - Clear technical roadmap and priorities defined for London-based teams - Site culture and operating rhythms established (team meetings, all-hands, cross-site syncs) - London office actively participating in company-wide infrastructure initiatives   1 Year - London site operating as a high-functioning hub with 15-30+ engineers - Infrastructure teams delivering measurable impact on system reliability, performance, and scalability - Strong talent brand established in London market with healthy hiring pipeline - London recognized internally as a strategic site contributing to Perplexity's technical leadership   Why Join Perplexity - Ground-floor opportunity to build and lead a strategic site for a fast-growing AI company - Work on cutting-edge AI infrastructure challenges at massive scale - Shape the culture and technical direction of an entire office - Competitive compensation including equity - Comprehensive benefits package - Flexible work environment - Opportunity to make a significant impact on how millions of people access and interact with information Location: London, United Kingdom (Hybrid)  Perplexity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Tavily We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed. We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world. The Role: Senior Site Reliability Engineer Managing Kubernetes clusters across multiple environments and regions Owning infrastructure as code for all resources Maintaining and improving CI/CD pipelines and GitOps-based deployments Maintaining and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors Building out monitoring, alerting, and observability Debugging production issues across services Managing cloud costs and capacity planning Working closely with a small engineering team — you'd own infra, not a slice of it What we're looking for 5-8 years in a DevOps or platform engineering role, working in production environments Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale Strong Kubernetes experience in a managed cloud environment Proficiency with infrastructure as code (Terraform or similar) Experience with GitOps-based deployment workflows Built or maintained observability stacks (logging, metrics, alerting) Experience handling production incidents calmly and methodically Nice to have: Multi-region deployments Search infrastructure Data pipeline experience (streaming, warehousing) Proxy/networking infrastructure at scale Why Tavily? Full ownership — small team, you own the entire infrastructure, not a slice of it Real scaling challenges — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests AI-native company — your infra directly powers AI agents used by leading companies in the space. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.