Вакансии

Location: Lisbon, Portugal Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. We’re looking for a Platform Engineer to improve the infrastructure, developer tooling, and delivery workflows used by more than 100 engineers. The role combines infrastructure and software development, with an approximate 65/35 split. You’ll work on cloud infrastructure, deployment automation, observability, CI/CD, and internal tooling. The goal is to make development and releases more reliable, efficient, and straightforward. What you’ll do - Improve developer experience and engineering productivity by building tools and workflows that make it easier for engineers to develop, test, and ship software. - Maintain infrastructure automation with Ansible, Terraform, and Terragrunt. - Improve the reliability and performance of our CI/CD workflows. - Find the causes of slow builds, failed pipelines, and flaky tests. - Develop internal tools, improve test infrastructure, and occasionally work on product features. - Improve observability across our infrastructure and delivery workflows using OpenTelemetry, ELK. - Leverage AI to improve engineering workflows by building cloud-based agent tools and helping teams adopt effective practices. Our tech stack AWS, Terraform, Terragrunt, Ansible, Jenkins, Docker, ELK, ClickHouse, MongoDB, PostgreSQL, and Ruby-on-Rails. What we’re looking for - Experience developing and maintaining complex CI/CD workflows. - Software development experience, such as building internal tools, APIs, backend services, or automation. - Experience with AWS or another cloud provider. - Telemetry and monitoring experience (OpenTelemetry, Grafana, Kibana). - Strong Computer Science and System Design fundamentals. - Willingness to learn and use Ruby and/or Go. What we’d be particularly excited about - Experience optimizing CI build times, especially with Jenkins. - Experience with Docker or Kubernetes. - Experience with Ruby, Python, or JavaScript. - Familiarity with build systems such as Webpack or Gradle. You don’t need to know every technology in our stack. We value strong technical fundamentals, curiosity, and the ability to work on different types of engineering problems. Blog Posts Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers   About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide. Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem. Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! GLOBAL TEAMS Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Krakow, Poland Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. We’re looking for a Platform Engineer to improve the infrastructure, developer tooling, and delivery workflows used by more than 100 engineers. The role combines infrastructure and software development, with an approximate 65/35 split. You’ll work on cloud infrastructure, deployment automation, observability, CI/CD, and internal tooling. The goal is to make development and releases more reliable, efficient, and straightforward. What you’ll do - Improve developer experience and engineering productivity by building tools and workflows that make it easier for engineers to develop, test, and ship software. - Maintain infrastructure automation with Ansible, Terraform, and Terragrunt. - Improve the reliability and performance of our CI/CD workflows. - Find the causes of slow builds, failed pipelines, and flaky tests. - Develop internal tools, improve test infrastructure, and occasionally work on product features. - Improve observability across our infrastructure and delivery workflows using OpenTelemetry, ELK. - Leverage AI to improve engineering workflows by building cloud-based agent tools and helping teams adopt effective practices. Our tech stack AWS, Terraform, Terragrunt, Ansible, Jenkins, Docker, ELK, ClickHouse, MongoDB, PostgreSQL, and Ruby-on-Rails. What we’re looking for - Experience developing and maintaining complex CI/CD workflows. - Software development experience, such as building internal tools, APIs, backend services, or automation. - Experience with AWS or another cloud provider. - Telemetry and monitoring experience (OpenTelemetry, Grafana, Kibana). - Strong Computer Science and System Design fundamentals. - Willingness to learn and use Ruby and/or Go. What we’d be particularly excited about - Experience optimizing CI build times, especially with Jenkins. - Experience with Docker or Kubernetes. - Experience with Ruby, Python, or JavaScript. - Familiarity with build systems such as Webpack or Gradle. You don’t need to know every technology in our stack. We value strong technical fundamentals, curiosity, and the ability to work on different types of engineering problems. Blog Posts Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers   About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide. Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem. Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! GLOBAL TEAMS Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Warsaw, Poland Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. We’re looking for a Platform Engineer to improve the infrastructure, developer tooling, and delivery workflows used by more than 100 engineers. The role combines infrastructure and software development, with an approximate 65/35 split. You’ll work on cloud infrastructure, deployment automation, observability, CI/CD, and internal tooling. The goal is to make development and releases more reliable, efficient, and straightforward. What you’ll do - Improve developer experience and engineering productivity by building tools and workflows that make it easier for engineers to develop, test, and ship software. - Maintain infrastructure automation with Ansible, Terraform, and Terragrunt. - Improve the reliability and performance of our CI/CD workflows. - Find the causes of slow builds, failed pipelines, and flaky tests. - Develop internal tools, improve test infrastructure, and occasionally work on product features. - Improve observability across our infrastructure and delivery workflows using OpenTelemetry, ELK. - Leverage AI to improve engineering workflows by building cloud-based agent tools and helping teams adopt effective practices. Our tech stack AWS, Terraform, Terragrunt, Ansible, Jenkins, Docker, ELK, ClickHouse, MongoDB, PostgreSQL, and Ruby-on-Rails. What we’re looking for - Experience developing and maintaining complex CI/CD workflows. - Software development experience, such as building internal tools, APIs, backend services, or automation. - Experience with AWS or another cloud provider. - Telemetry and monitoring experience (OpenTelemetry, Grafana, Kibana). - Strong Computer Science and System Design fundamentals. - Willingness to learn and use Ruby and/or Go. What we’d be particularly excited about - Experience optimizing CI build times, especially with Jenkins. - Experience with Docker or Kubernetes. - Experience with Ruby, Python, or JavaScript. - Familiarity with build systems such as Webpack or Gradle. You don’t need to know every technology in our stack. We value strong technical fundamentals, curiosity, and the ability to work on different types of engineering problems. Blog Posts Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers   About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide. Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem. Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! GLOBAL TEAMS Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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: San Francisco Bay Area, USA Workplace: Hybrid Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the role: Higgsfield AI is looking for a hands-on Member of Technical Staff, GRC Engineering to build and scale the technical infrastructure supporting our security, risk, and compliance programs. As we scale globally, you'll translate compliance requirements into automated technical controls, continuous monitoring systems, and preventative security measures that evolve alongside our business. Working closely with Security, Engineering, IT, and cross-functional teams, you'll design and implement controls that proactively prevent compliance gaps rather than simply identifying them during audits. This is a technical engineering role focused on building scalable GRC infrastructure, not traditional policy management or audit coordination. We're looking for someone who combines strong knowledge of compliance frameworks with technical problem-solving skills, sound judgment, and the ability to build systems that support a rapidly growing organization. WHAT YOU'LL DO COMPLIANCE ENGINEERING & CONTROL AUTOMATION - Translate regulatory and compliance requirements into actionable technical controls across corporate and product infrastructure. - Design and implement automated controls for access management, system configurations, security monitoring, and compliance validation. - Build preventative controls and release gates that identify and block noncompliant changes before deployment. - Evaluate which controls should be automated and where human review remains necessary. GRC INFRASTRUCTURE & CONTINUOUS MONITORING - Build and maintain scalable GRC infrastructure that supports continuous compliance monitoring and evidence collection. - Develop automated workflows to validate control effectiveness and identify compliance gaps in real time. - Design controls that remain effective as employees, systems, vendors, locations, and products evolve. - Integrate compliance checks into existing engineering workflows, infrastructure, and security tooling. RISK MANAGEMENT & SECURITY CONTROLS - Translate frameworks such as SOC 2, ISO 27001, and other applicable standards into practical engineering requirements. - Partner with Security and Engineering to identify control gaps, prioritize risks, and implement sustainable remediation. - Establish technical standards and preventative guardrails that reduce reliance on manual compliance processes. - Evaluate emerging security and compliance requirements and incorporate them into scalable control designs. TECHNICAL OWNERSHIP & COLLABORATION - Own GRC engineering initiatives from control design through implementation, validation, and ongoing operations. - Build automation through scripts, APIs, integrations, and engineering workflows. - Partner with technical teams to embed compliance requirements into system architecture and development processes. - Help define the long-term GRC infrastructure roadmap to support the company's growth over the next several years. Requirements: - 6+ years spanning security, GRC, software engineering, automation engineering, or related technical roles. - Demonstrated experience translating framework, regulatory, or policy requirements into technical implementations. - Hands-on experience personally building or automating security and compliance controls. - Production-grade scripting or programming experience, such as Python, including working with APIs and integrations. - Strong understanding of frameworks such as SOC 2 and ISO 27001 and what constitutes credible control evidence. - Ability to distinguish between a control that technically exists and one that is actually effective, enforced, and continuously monitored. - Experience building in rapidly changing or 0→1 environments without relying on mature infrastructure or large teams. - Strong judgment around automation, risk, exceptions, enforcement, and engineering velocity. - Ability to communicate technical controls and evidence clearly to auditors, customer security teams, engineers, and nontechnical stakeholders. Compensation & Benefits - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $200,000 - $300,000, depending on experience, skills, scope, and location. - Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: United Kingdom; United States; Poland; Bulgaria Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are looking for a Research Engineer to join the research team at ElevenLabs, focused on large-scale web crawling for our frontier AI models. The quality of our models is bounded by the quality and scale of the data behind them, and you will own the crawling systems that source world-class data from the open web. You will thrive in this role if you enjoy: - Building and operating large-scale, distributed web crawlers that discover, fetch, and extract data across billions of pages reliably and efficiently. - Solving hard crawling problems such as content extraction from messy HTML, deduplication at web scale, freshness and recrawl strategies, and politeness and rate-limit handling. - Designing targeted crawling pipelines that find high-value data sources, including audio, video, and multilingual content, and turn them into clean training-ready datasets. - Creating tooling and infrastructure that lets researchers request, monitor, and explore newly crawled web data quickly and reliably.   REQUIREMENTS We do not require any formal certifications or degrees. Instead, we are seeking enthusiastic engineers who can showcase solving impressively hard problems with artifacts such as past projects, designs, or GitHub contributions. Ideally, you bring: - Hands-on experience building and scaling web crawlers or scraping systems, ideally in support of machine learning training data. - Strong engineering skills in distributed systems at scale (e.g., Kubernetes, queue-based architectures, or custom pipelines processing billions of documents). - The capacity to autonomously evaluate the quality, coverage, and compliance of crawled data, and to build the tooling to measure it.   LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw.   #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX Atlanta, GA Denver, CO Seattle, WA Washington, DC Application Deadline: December 16, 2026 Position Overview Cloudflare is looking for an Automation Specialist to transform how our global Data Center Security Compliance (DCSC) team operates. This critical role is part of the Infrastructure Operations organization, which is responsible for building, scaling, and running Cloudflare's data center and network infrastructure across 700+ sites worldwide. The DCSC team manages physical access control and compliance auditing across one of the most complex and distributed infrastructure footprints in the industry, spanning more than 105 vendor portals, hundreds of non-portal carrier-neutral and edge partner sites, and multiple regulatory frameworks including SOC 2, ISO 27001, FedRAMP, ISMAP, and IRAP. The operational burden of this work is substantial and largely manual: user lists are pulled by hand, access control lists are reconciled by eye, evidence packages are assembled ticket by ticket, and attestation cycles consume weeks of coordinator time every quarter. This role exists to change that. The DCSC Automation -Specialist will design, build, and operate AI-assisted and automated workflows that eliminate the most time-consuming manual work in the DCSC operating model, freeing compliance coordinators to focus on exception handling, stakeholder relationships, and regulatory judgment rather than data gathering and reconciliation. This is a builder role. You will interview the team to understand each workflow, identify the highest-leverage automation targets, and ship tooling that demonstrably reduces the time it takes to close a QAR cycle, produce an audit evidence package, or manage a batch of access provisioning requests. You will work in close partnership with the DCSC coordinators, and existing automation developers, and will own the DCSC operational tooling roadmap. Key Responsibilities Portal Automation & User List Extraction Browser Automation: Design and maintain automated scripts (Playwright, Puppeteer, or equivalent) that log into vendor data center portals, extract user access lists, and feed structured output into the DCSC Portal and comparison pipelines replacing manual portal-by-portal data collection across 105+ portals covering 338+ sites. Resilience & Coverage: Build fallback handling for portals that block or rate-limit automated access; document exceptions and maintain a coverage registry tracking automation status per portal. Scheduled Execution: Operationalize extraction jobs on a recurring cadence aligned to QAR and MAR cycles, with alerting for failures and drift. ACL Reconciliation & Diff Engine Automated Comparison: Build tooling that ingests portal-extracted user lists and compares them against the master Access Control List (ACL), automatically surfacing discrepancies: users present in a portal but absent from the ACL, users on the ACL without active portal access, and role or access-level mismatches. Exception-Only Output: Route confirmed discrepancies directly to pre-populated Jira tickets for human review and action, eliminating the need for coordinators to perform full manual review of every user record each quarter. Audit Trail: Ensure all comparison runs produce immutable, timestamped records suitable for SOC 2, ISO 27001, and FedRAMP evidence requirements. Attestation & Evidence Automation Attestation Module: Own and extend the attestation workflow within the DCSC Portal, including automated cycle triggering, manager notification, time-stamped confirmation capture, and exception escalation, replacing manual screenshot-based evidence gathering. Evidence Package Builder: Build automated pipelines that compile audit-ready evidence packages for SOC 2, ISO 27001, FedRAMP, ISMAP, and IRAP control cycles, pulling attestation logs, portal extraction results, diff reports, and correspondence into structured packages keyed to specific control IDs. GRC Alignment: Work directly with GRC counterparts to validate that automated evidence formats meet auditor and regulatory requirements before deployment. AI-Assisted Anomaly Detection & Triage Access Pattern Analysis: Implement LLM-based review passes over QAR cycle output to surface patterns warranting human escalation: former employees retaining access, access creep over time, dormant accounts, and anomalous role assignments across sites. Ticket Intelligence: Build automation that reads incoming Jira onboarding and offboarding tickets and generates structured, portal-specific action checklists reducing coordinator cognitive load and preventing missed steps across multi-portal provisioning workflows. Continuous Improvement: Monitor automation output quality over time, retrain or recalibrate models as portal structures change, and maintain a feedback loop with coordinators on false positives and missed detections. DCSC Portal Ownership & Tooling Roadmap Platform Stewardship: Own the DCSC Portal as the operational runtime for all automation and workflow tooling ensuring it remains stable, documented, and usable by coordinators without engineering support for day-to-day tasks. Roadmap Management: Maintain a prioritized backlog of automation opportunities, assessed by time savings, compliance impact, and implementation complexity; present quarterly progress and priorities to DCSC leadership. Documentation: Produce runbooks for every automation, ensuring that no operational capability lives only in one person's head or on a local machine. Desirable skills / Experience: Automation Engineering: Demonstrated experience building browser automation (Playwright, Puppeteer, Selenium, or equivalent) against real-world web applications, including handling authentication flows, dynamic content, and anti-bot mitigations. TypeScript Proficiency: Strong skills for scripting, data wrangling, structured file I/O, and API integration. Ability to write maintainable, documented code that non-engineers can operate. LLM Integration: Hands-on experience integrating LLM APIs (OpenAI, Anthropic, Google, or equivalent) into production workflows for classification, drafting, summarization, or anomaly detection tasks. Data Engineering Fundamentals: Comfort working with structured and semi-structured data at scale, diffing datasets, normalizing inconsistent formats, and producing clean outputs for downstream audit use. API & Workflow Integration: Experience building integrations with ticketing or ITSM systems (Jira preferred) via REST API, including automated ticket creation, status updates, and attachment handling. Systems Thinking: Ability to map an end-to-end manual workflow, identify the highest-leverage automation insertion points, and ship incrementally without waiting for a perfect solution. Workflow Archaeology: Comfortable extracting process knowledge from subject-matter experts through structured interviews turning tribal knowledge into documented, automatable workflows. Bias Toward Simplicity: Strong product intuition for the minimum viable automation that delivers real time savings, rather than over-engineering for edge cases. Compliance Awareness: Appreciation for the stakes of accuracy in a compliance context, understanding that an incorrect ACL diff or a missing evidence artifact has real audit consequences. Soft Skills: Communication: Able to explain automation design decisions and tradeoffs clearly to non-technical stakeholders including compliance coordinators and GRC partners. Ambiguity Tolerance: Vendor portals don't come with documentation. Workflows are passed down verbally. You need to be energized by figuring things out from scratch. Preferred Qualifications Experience with Cloudflare Workers or similar edge compute platforms Familiarity with GRC/compliance frameworks (SOC 2, FedRAMP, ISO 27001) at an operational level — not as an auditor, but enough to understand why evidence integrity matters RPA tooling experience (UiPath, Power Automate) as fallback for portals that defeat headless browsers Prior work in infrastructure operations, data center, or physical security environments Experience building internal tooling or developer-facing portals (not just scripts) Compensation Compensation may be adjusted depending on work location. For Colorado based hires: Estimated annual salary of $136,000 - $187,000. Washington (Kirkland), and Washington D.C. based hires: Estimated annual salary of $150,000 - $206,000. Equity This role is eligible to participate in Cloudflare's equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: United Kingdom; United States; Poland; Bulgaria Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are looking for a Research Engineer to join the research team at ElevenLabs, focused on deploying and optimizing our frontier AI models in production. The quality of our models only matters if they can be served fast, reliably, and at scale. You will own the systems that turn research breakthroughs into real-time products used by millions. You will thrive in this role if you enjoy: - Deploying state-of-the-art models to production and owning the path from research checkpoint to serving infrastructure. - Optimizing inference performance across the stack, including latency, throughput, and cost, using techniques such as quantization, distillation, KV-cache optimization, batching strategies, and custom kernels. - Building and tuning high-performance serving systems for real-time, streaming workloads where every millisecond matters. - Creating tooling and infrastructure that lets researchers ship new models to production quickly, safely, and with confidence in their performance characteristics. REQUIREMENTS We do not require any formal certifications or degrees. Instead, we are seeking enthusiastic engineers who can showcase solving impressively hard problems with artifacts such as past projects, designs, or GitHub contributions. Ideally, you bring: - Experience deploying and serving ML models in production, ideally for latency-sensitive or real-time applications. - Strong engineering skills in GPU programming and inference optimization (e.g., CUDA, Triton, TensorRT, or serving frameworks such as vLLM or SGLang). - The capacity to autonomously profile, diagnose, and eliminate bottlenecks across the serving stack, from model architecture to kernels to orchestration, and to build the tooling to measure it. LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Tel Aviv, 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. The role Nebius is looking for a Head of Proactive Security to establish and lead the Proactive Security pillar. Reporting directly to the CISO, this leader will manage the Red Team, Penetration Testing, Threat Hunting, and Threat Intelligence teams. The role is responsible for anticipating relevant threats, challenging Nebius's defenses, identifying exploitable weaknesses, hunting for adversary activity that may evade existing controls, and converting findings into measurable security improvements. This is a hands-on leadership position for someone who combines offensive-security depth, threat-led thinking, strong operational judgment, and the ability to influence product, engineering, infrastructure, and security stakeholders. Your responsibilities will include: Pillar strategy and leadership Define the Proactive Security strategy, operating model, roadmap, priorities, budget, and success measures in alignment with Nebius's business objectives and threat profile. Build, lead, and develop high-performing Red Team, Penetration Testing, Threat Hunting, and Threat Intelligence teams. Create a unified intelligence-led program in which threat intelligence informs testing and hunting, and findings continuously improve defensive controls. Prioritize work based on crown jewels, material attack paths, emerging threats, major technology changes, incidents, and business risk. Establish clear team charters, engagement models, escalation paths, quality standards, and career-development frameworks. Provide the CISO and senior leadership with clear visibility into adversary exposure, validated weaknesses, emerging threats, and remediation progress. Red Team and adversary emulation Lead realistic, intelligence-led adversary simulations across cloud, identity, applications, infrastructure, endpoints, networks, and operational processes. Design campaigns that evaluate prevention, detection, response, escalation, and recovery capabilities against relevant threat scenarios. Develop and maintain adversary-emulation plans mapped to relevant threat actors, tactics, techniques, and procedures. Ensure every engagement operates under documented authorization, rules of engagement, safety controls, deconfliction procedures, and evidence-handling requirements. Deliver concise technical and executive reporting that explains demonstrated impact, attack paths, root causes, and prioritized improvements. Penetration testing and continuous security validation Own the risk-based penetration-testing program for Nebius products, applications, APIs, cloud environments, infrastructure, and critical internal systems. Define testing standards, scoping criteria, methodologies, quality assurance, retesting, and reporting requirements. Coordinate internal testing and specialized external providers while maintaining consistent quality and risk prioritization. Partner with Product, Engineering, Infrastructure, and Security teams to integrate testing into major launches, architectural changes, and high-risk initiatives. Track findings through validation, remediation, exception, and closure, and identify systemic or recurring weakness patterns. Expand automation and continuous validation where it improves coverage without replacing expert-led testing and judgment. Threat hunting Establish a hypothesis-driven threat-hunting program across endpoint, identity, cloud, network, workload, application, and SaaS telemetry. Prioritize hunts using threat intelligence, incidents, environmental changes, control gaps, and emerging adversary techniques. Search for active, historical, or previously undetected malicious behavior that may not trigger existing alerts. Turn validated hunt findings into new detections, telemetry requirements, response playbooks, hardening actions, and future hunt hypotheses. Define repeatable hunt methodology, documentation standards, evidence handling, and measurement of hunt effectiveness. Partner closely with Detection and Response, Incident Response, Security Engineering, and infrastructure teams during investigations and remediation. Threat intelligence Own Nebius's threat-intelligence strategy, collection priorities, analysis standards, dissemination model, and intelligence lifecycle. Maintain a current view of threat actors, campaigns, vulnerabilities, geopolitical developments, and techniques relevant to Nebius, its customers, and its technology stack. Produce strategic intelligence for leadership, operational intelligence for defenders, and tactical intelligence that supports detections, investigations, hunting, and testing. Translate intelligence into clear changes to security priorities, control coverage, red-team scenarios, hunt hypotheses, and incident readiness. Establish reliable processes for source evaluation, confidence assessment, intelligence sharing, and secure handling of sensitive information. Build trusted relationships with industry peers, relevant communities, vendors, and information-sharing organizations. Defensive improvement and governance Create a closed-loop process that converts proactive-security findings into owned, prioritized, and measurable remediation actions. Partner with Security Engineering, Detection and Response, Product Security, Cloud Security, IT, and Engineering to improve controls and reduce repeat findings. Ensure material findings are communicated promptly, tracked transparently, and escalated according to risk. Define reporting that distinguishes activity from outcomes and demonstrates improvements in resilience, coverage, and adversary readiness. Support major incidents with threat context, attack-path analysis, hunting, and specialist offensive expertise when required. Maintain strong legal, ethical, privacy, and operational-safety standards across all proactive-security activities. We expect you to have: Extensive cybersecurity experience, including leadership responsibility in offensive security, penetration testing, threat hunting, threat intelligence, detection engineering, or incident response. Proven experience building or scaling multidisciplinary security teams and programs, including budgets, vendors, and external testing providers. Strong technical understanding of modern cloud environments, identity systems, applications, APIs, networks, endpoints, containers, and production infrastructure. Demonstrated experience planning and delivering red-team operations, penetration tests, or adversary-emulation exercises. Practical knowledge of threat-hunting methodology, telemetry, detection logic, and investigation workflows. Experience producing and operationalizing strategic, operational, and tactical threat intelligence. Strong understanding of adversary behavior and frameworks such as MITRE ATT&CK. Excellent communication and executive-presentation skills, with the ability to translate complex technical findings into clear business risks, decisions, and remediation actions. Sound judgment regarding authorization, operational safety, confidentiality, evidence handling, and responsible disclosure. It will be an added bonus if you have: Experience in cloud, hyperscale, AI, or other highly distributed technology environments. Deep domain expertise, relevant certifications or equivalent practical experience, and a track record of responsible research or industry collaboration. 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.

Location: London & San Francisco Workplace: onsite THE OPPORTUNITY We are building Watcher, a 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 product engineer to build and scale Watcher end to end. This role includes backend and frontend components. You will own features across the full stack, from agent hooks and ingestion pipelines to monitoring dashboards and enterprise integrations. You can expect to  own features from customer conversation to production deployment. This is truly a “start-up role”: you will own big chunks of the product, make decisions fast, and ship at high volume. You will join a small team with significant ability to shape the product and tech, and you can earn more responsibility quickly. This is an individual contributor role but could lead to management responsibilities eventually, if desired. KEY RESPONSIBILITIES Ship product end to end (~45%) Feature development Design, build, and ship Watcher features across the stack: agent-side hooks and CLI tooling, ingestion and grading pipelines, real-time monitoring UI (Watcher Live), and the organization-wide Analyzer dashboard. Own features end to end, from ambiguous requirements to production: talk to users, scope the work, make the technical decisions, put that into production, and iterate based on usage. Build Watcher integrations:  We currently support Claude Code and Codex, but we’re planning on increasing our coverage to other coding agents, LLM gateways, and anywhere that could benefit from agent monitoring. Build the policy and configuration layer that lets security teams set org-wide guardrails for  engineers to operate safely within. Productionize research Turn monitoring research (new monitors, grading strategies, backtesting results) into production-ready product features. We are "our own customer": You will use the product you build every day. Infrastructure and scale (~35%) Design and operate backend systems that process large volumes of agent logs in real time. Own reliability: robust error handling, graceful degradation, and observability (logging, metrics, tracing, alerting). We should catch issues before customers do. Architect data models and storage that handle both high-throughput writes and complex analytical queries over historical trajectories. Retention policies have to fit highly sensitive customer data. Make sure Watcher is safe to deploy: Work with our AI Security & Control Engineer on tenant isolation, encryption, and access controls. Watcher touches some of the most sensitive data our customers have. Customer and integration engineering (~20%) Build and maintain integrations with the enterprise security stack, e.g. streaming monitoring alerts into SIEM systems and existing security operations workflows. Support flexible deployment models: cloud-hosted, on-prem, and local backends, so sensitive agent logs never have to leave customer control. Talk to customers, debug issues in their environments, and feed what you learn back into the roadmap. REPRESENTATIVE PROJECTS Secure a new frontier coding agent: Take an agent we don't yet support (e.g. Cursor) from zero to fully monitored. Build the hook/integration layer, normalize its trajectory format into our data model, validate monitor accuracy on real traffic, and ship it to customers. Build the real-time blocking path: Design the low-latency pipeline that lets monitors block dangerous actions (e.g. git push --force, secret exfiltration) before they execute, while keeping p95 latency low enough that developers don't feel it. Handle traffic spikes and partial failures gracefully. Ship an Analyzer capability end to end: Design and build an organization-wide view (e.g. failure trends over time, cross-session pattern detection) from data model through API to UI, based on what security teams actually need. Deploy Watcher inside locked-down enterprises: Build and document the self-hosted/on-prem deployment story so that enterprises with strict data requirements can run Watcher  inside their own infrastructure. JOB REQUIREMENTS Must-haves 4+ years building production software. You have shipped and operated real systems with real users, and you know what it takes to keep them reliable. Full-stack capability. You are strong on the backend (APIs, data pipelines, databases, cloud infrastructure) and productive on the frontend (modern web UI). You don't need to be world-class at both, but you must be able to own a feature across the whole stack. Our stack is primarily Python and TypeScript. High agency and ownership. You are willing to own big chunks of the product, make decisions fast with incomplete information, and be accountable for the outcome. You don't wait to be told what to do and have an accurate sense of the roadmap for the product. High output volume. You have used Claude Code, Codex, Cursor, or similar tools heavily to accelerate or have built agents or agent tooling yourself. Startup pace. You are excited about a fast-moving environment, comfortable with ambiguity and changing priorities, and willing to grind when it matters. Product sense. You can talk to users, translate vague requirements into concrete designs, and make good calls about what to build and what to cut. Strong nice-to-haves Previous work on developer tools, monitoring/observability systems, or security products. Watcher sits at the intersection of all three. Real-time or large-scale data processing experience (streaming pipelines, message queues, high-throughput log systems). Enterprise or on-prem deployment experience. Shipping software into environments you don't control is its own skill. Experience building LLM-powered applications, e.g. LLM-as-judge setups, evaluation pipelines, or familiarity with frameworks like Inspect. Early-stage startup experience. You have been employee 1-15 somewhere and know what it feels like to build a product with no playbook. Explicitly not required Formal AI safety background. We need excellent product engineers who can learn the AI safety context, not AI safety researchers who need to learn engineering. Management experience. This is an IC role, at least initially. Deep experience in every technology we use. We care about demonstrated ability to learn and ship, not checkbox familiarity with our exact stack. 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: $222,000 – $290,000 London: £149,000 – £195,000. 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 product team consists of product engineers: Jeremy Neiman, Zak Walters, Zen van Riel, Srdjan Miletic and Gustavo Bicalho; research scientists: Victor Gillioz, Monika Jotautaitė, Dmitrii Volkov; 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: Shanghai Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Global payments are complex and ever-evolving. At Checkout our software engineers develop the next-generation payments technologies that enable our Merchants to boost their acceptance rates, cut processing costs, fight fraud, and create cutting edge technology that enables extraordinary customer experiences. We're looking for engineers who bring fresh ideas, have a curious nature and are passionate about working in an Engineering environment which focuses on building products to achieve the company's strategic goals. You’ll get to work with teams from across Checkout.com http://Checkout.com’s portfolio of products and services who all have a real customer first philosophy. As a software engineer, you will work on a specific project critical to Checkout's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. WHAT ARE WE LOOKING FOR: - Bachelor's or Master's degree in Computer Science, Engineering, or related field - Proficiency in .NET C#, Java, Go, or Python, with a strong understanding of software development principles. in either a backend or full stack environment. - Great communication skills and ability to interact effectively with a wide range of stakeholders - Experience working in agile environments and delivering high-quality code within tight deadlines - Excellent problem-solving skills and the ability to work independently as well as part of a team - Payments or financial knowledge is a plus, but not a necessity   How you’ll make an impact - Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community - Define and design loosely coupled, scalable systems in a wider microservices using industry best practices - Stay up-to-date, use, and spread knowledge of the latest technologies used by Checkout - Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems - Build, own and operate your systems to the highest levels of resilience and service. - Mentor junior team members and assist in their technical development Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: United States of America (USA), Texas As an OSP Construction Project Engineer , you'll play a key role in expanding Lumos' fiber network and delivering the reliable connectivity that powers our communities. You'll oversee contractor performance, resolve field challenges, and drive multiple fiber construction projects safely, on schedule, and within budget. Working closely with cross-functional teams and contractor partners, you'll help keep projects moving from field readiness through closeout while ensuring quality, safety, and efficiency every step of the way. This field-based position requires regular onsite work throughout the Port Arthur, TX market , so candidates must reside within the 30 miles of the market and be able to travel between active jobsites. Why Lumos: Lumos is transforming the future of connectivity by building one of the nation's fastest-growing 100% Fiber Optic networks. Through T-Fiber, our joint venture with T-Mobile, we're working toward a shared goal of connecting 12 to 15 million homes by 2030 while expanding access to reliable, high-speed internet in the communities we serve. Here, you'll find more than a job, you'll have the opportunity to make an impact, take ownership of your work, and help shape how we grow. We move quickly, collaborate across teams, and believe the best ideas come from people who are curious, solutions-oriented, and ready to build what's next. What You'll Do: Own multiple OSP builds across the market from construction readiness through closeout. Set clear expectations for contractors and subcontractors, holding teams accountable for safety, quality, schedule, and budget. Track production, schedules, costs, risks, and field progress, and keep stakeholders informed with clear, timely updates. Inspect active jobsites and ensure work meets OSHA, NESC, Lumos, and applicable construction standards. Coordinate permitting, materials, utilities, municipalities, and other field dependencies that keep construction moving. Resolve field roadblocks and community concerns quickly, professionally, and with sound judgment. Partner across Engineering, Operations, Permitting, and Supply Chain to improve how Lumos plans, builds, and scales. What You'll Bring: High school diploma or equivalent. 5+ years of experience in OSP construction, telecommunications engineering, network deployment, or related field operations. Strong knowledge of aerial, underground, and buried fiber construction, including OSHA and NESC requirements. Experience managing contractors and several active construction projects at the same time. Strong project management, problem-solving, communication, and relationship-building skills, with proficiency in Microsoft Office. Valid, unrestricted driver's license and ability to travel throughout the market; company vehicle and mobile phone provided. What Makes You a Great Fit: Associate's or bachelor's degree in construction management, engineering, telecommunications, or a related field. Direct experience with FTTH, fiber broadband, telecommunications, or utility construction. Experience with Sitetracker, Smartsheet, or a similar construction or project-management platform. Experience coordinating with municipalities and utilities while improving processes in a fast-moving build environment. Physical Requirements: Frequent travel, walking, and standing at active construction sites in varying weather and on uneven terrain. Ability to wear required personal protective equipment and appropriate safety footwear. Regular use of computers and standard office equipment, along with the communication and judgment needed to inspect work and coordinate field activity. Benefits & Perks: Our commitment to communities includes recruiting and rewarding the Lumos team members who are working together to build a brighter tomorrow. We have: Comprehensive health, dental, and vision coverage. Competitive compensation packages, including bonus options for eligible positions. Paid Time Off & Paid Holidays. Health Savings Accounts (HSAs) and Flexible Spending Accounts (FSAs). 100% employer-paid life and disability insurance. Employee Assistance Program (EAP) with access to professional support for life’s challenges. 401K plan w/ up to 5% employer contribution and a self-directed brokerage option. Wellness program offering education and cash incentives for gym attendance and nutrition programs. Employee referral bonuses. Discounts on Lumos Fiber Internet for employees who live in our service areas. Discounts on T-Mobile wireless service and select features for lines. Applicant Eligibility Notice: Applicants must be at least eighteen (18) years of age at the time of application. At Lumos we recruit, hire, employ, train, promote, and compensate individuals based on job-related qualifications and abilities. We have a longstanding policy of providing a work environment that respects the dignity and worth of each individual and is free from all forms of employment discrimination, including harassment, because of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We will provide reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief, in accordance with applicable laws.

Location: United Kingdom; South Africa; Pakistan About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. About the company Our client is a high-growth sales acceleration partner specializing in outsourced business development for complex B2B sectors, including FinTech, HealthTech, and Manufacturing. Operating across the UK, Europe, and North America, the team helps ambitious global brands bridge the gap between lead generation and revenue through a proven, consultative sales methodology. They act as a strategic extension of their clients' organizations, deploying expert SDR teams and advanced sales engagement technology to navigate high-value, long-cycle sales environments. The team prides itself on combining the agility of a startup with enterprise-level maturity, fostering a culture driven by performance, data-backed insights, and continuous professional development. With a focus on delivering measurable ROI through human-led, tech-enabled outreach, they provide a fast-paced and collaborative environment for sales professionals passionate about account-based targeting and high-level executive engagement. This is an opportunity to join a scaling firm at the forefront of modern B2B sales innovation. Job Type Full-time Job Summary We are seeking a driven and articulate Sales Development Representative to join a well-established leader in outsourced sales acceleration. This role is focused on a high-growth project for a client that automates and standardizes insurance data, bridging the gap between fragmented systems. You won't be selling insurance policies; instead, you will be solving complex data challenges for major insurance and finance organizations. This is an opportunity to join a company with 15 years of proven methodology, offering a clear path to leadership for those who are curious, coachable, and determined to succeed. Key Responsibilities Conduct approximately 50 high-quality outbound calls per day to key stakeholders within the insurance and finance sectors. Identify and qualify 10+ new business opportunities per month to maintain a healthy sales pipeline. Articulate the value proposition of data automation and system connectivity to senior decision-makers. Manage and document all sales activities, leads, and progress accurately within Salesforce. Collaborate with team leads to refine outreach strategies based on market feedback and data. Requirements Professional fluency in English with exceptional verbal and written communication skills. Prior experience working within or selling to the Insurance or Finance sectors. A strong understanding of how insurance or finance companies operate internally to navigate complex hierarchies. A determined, "hunter" mindset with a natural curiosity for technology and business processes. Ability to work UK GMT business hours. Nice to Have Previous experience using Salesforce as a primary CRM. Familiarity with data management, API connectivity, or InsurTech landscapes. Experience in an outsourced sales or lead generation environment. Compensation & Incentives Competitive contractor compensation. £200 incentive when target is achieved. £500 incentive for overperformance against target. Additional performance-based incentives may apply. Benefits 💰 Competitive base salary 🎯 Performance-based incentives (£200 for hitting target; £500 for overperformance) 🌎 Fully remote work environment (Work from anywhere) 🚀 Clear progression paths into Team Lead and Management roles 📈 Long-term stability within a mature, 15-year-old organization 🎓 Access to industry-leading sales training and established processes

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will focus on a short list of strategic accounts within our Enterprise Technology business. For each one you will co-own the account plan with the account executive, build executive technical champions, and drive a multi-quarter adoption roadmap. You will have breadth and depth, reproducing customer environments and problems, building working solutions with them, and develop deep relationships with our engineering and product teams, all in service of each account's strategic roadmap Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Work with your customers on their overall AI adoption strategies, including use case scoping, architecture reviews, technical champion building, adoption workshops, and use case execution Support customers building with both the Claude API and Claude for Enterprise Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Reproduce customer environments and problems in your own builds. Use them to prove the path to production Build deep relationships with Anthropic engineering and product teams. Carry customer needs into the product roadmap and bring product direction back to your accounts Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 8+ years of experience in roles such as Field CTO, Solutions Architect, Sales Engineer, or Product Manager, with hands-on building experience Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Experience owning named or strategic enterprise accounts through long, multi-stakeholder buying cycles Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Platform Security Engineering (PSE) sits within Data Center Security Engineering (DCSE). As Anthropic expands beyond traditional cloud providers into owned facilities, colocation, and partner sites, we take on the security responsibilities that cloud providers used to abstract away: firmware integrity, boot chain verification, platform trust, and host hardening. PSE exists so that Anthropic can deploy training and inference workloads to any qualified environment with a demonstrable security posture, including the technical controls behind our AI Safety Level commitments. We are hiring an engineering manager to lead a group of platform security engineers covering firmware research, OS and kernel hardening, platform trust integration, and server manageability firmware. You will own the roadmap for this group, grow the team, and be accountable for the security posture of the compute platforms Anthropic runs on: hardware roots of trust, secure and measured boot, attestation, firmware supply chain, and the integrity of the hosts that hold model weights on bare-metal infrastructure. This is a hands-on management role. You will not write most of the code, but you will review designs, make the final call on hard trade-offs, and be able to reason with your engineers from a silicon root of trust through firmware, bootloader, kernel, and host software. You will partner with infrastructure, fleet, and compute teams inside Anthropic, and with silicon vendors, OEMs, and compute providers outside it. You will report to the Data Center Security Engineering manager. Key responsibilities Lead and grow the platform security engineering group: hiring, onboarding, development, performance, and prioritization for full-time engineers, and coordination of contractor and vendor engineers working alongside them Own the platform security roadmap and its delivery: hardware root of trust and attestation, secure and measured boot across CPU, BMC, accelerator, and peripheral firmware, OS and kernel hardening, and the host-side pipeline that turns attestation evidence into production gates Own the firmware supply chain posture for the fleet: SBOM and reference integrity manifests, authenticated update, rollback protection, and the vendor relationships needed to get fixes shipped Drive platform risk assessments for new compute platforms and providers, and make evidence-based go/no-go recommendations with bounded risk rather than perfect-or-nothing gates Partner with infrastructure, fleet, compute, and detection and response teams so that platform controls land in production without degrading training or inference performance Manage relationships with silicon vendors, OEMs, and compute providers: security requirements, vulnerability management, disclosure and remediation timelines, and upstream and standards-body engagement (TCG, OCP, IETF) Run the team's operating rhythm: design reviews, threat models, incident participation for platform-layer issues, and clear written status to security and infrastructure leadership Minimum qualifications Have 10+ years in systems security, with at least 5 years focused on firmware, hardware, or OS-level security Have 5+ years as a people manager of security or systems engineers, including hiring and developing senior and staff-level engineers Can go from architecture to implementation detail with your engineers: secure boot, measured boot, TPM and other roots of trust, attestation protocols (SPDM, DICE, remote attestation), UEFI and BMC firmware, and Linux kernel  and OS hardening Have owned a technical roadmap end to end, including the prioritization calls when security, performance, and delivery timelines conflict Have worked directly with silicon vendors, OEMs, or cloud and bare-metal providers on security requirements and remediation, and can push a partner to a fix without burning the relationship Write clearly: design reviews, risk assessments, and status for executives are part of the job Are comfortable building a team and its processes from an early stage, with a scope that is broader than the headcount Preferred qualifications Experience managing a mixed team of full-time engineers, contractors, and vendor engineers while keeping design authority in-house Hands-on background in OpenBMC or other server management firmware, DRTM or secure launch, or confidential computing primitives (TDX, SEV-SNP, ARM CCA) A record of upstream contributions or maintainership in Linux, OpenBMC, or a comparable community, or standing in TCG, UEFI Forum, or OCP Experience securing large-scale HPC or AI training infrastructure Firmware vulnerability research, reverse engineering, or fuzzing background Experience running coordinated vulnerability disclosure with hardware or firmware vendors The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $485,000 — $625,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote About the company: In the coming decades, demand for critical minerals such as copper, lithium, and cobalt will continue to grow. These minerals are needed to build electric infrastructure, vehicles, data centers, and electronics. However, the mining industry is making 10x fewer discoveries per dollar spent on exploration compared to 30 years ago because the easy-to-find, near surface deposits have largely been discovered. KoBold was founded to be the first AI native mineral exploration, mine development, and technology development company. Our goal is to turn mineral exploration into a repeatable science to discover the minerals the world needs—by integrating artificial intelligence, human intelligence, and new technology. Our multidisciplinary teams of data scientists, engineers, and geologists work together to build data systems, design new sensors, and establish industry-leading workflows to develop and test subsurface predictions on our exploration projects. Our first discovery, Mingomba, is a high-grade copper deposit in Zambia, found after spending materially less than industry average. We are developing Mingomba with the same technical rigor that we apply to exploration. The Mingomba team brings together mine and processing engineers, geologists, data scientists, software engineers, and community, health & safety, construction, and operations specialists. By combining industry knowledge and cutting edge technology, we are developing Mingomba into a world class project that has safer and more predictable outcomes for ourselves, partners, and communities. It is expected to create thousands of good jobs for generations. KoBold runs exploration programs in eight countries, all with the potential for another discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi. About The Role: In this role, you will develop state of the art instruments to collect data to guide our exploration programs. You will simulate, characterize, and calibrate sensor performance and design new data acquisition systems. Working with vendors and partners, you will build hardware and work with our operations staff to deploy it in the field. With this sensor data and other data sources at KoBold, you will build models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will be creating models and developing software to accelerate discovery of critical battery metals. You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will identify new opportunities and technologies for geophysical data collection, create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work. Ultimately, your role is to help KoBold make valuable discoveries by building and deploying next generation hardware and using data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up. Responsibilities of this position include: Technical execution Design, develop, and deploy new mineral exploration data collection instruments and methods. Help develop KoBold’s proprietary software exploration tools. Find and curate a wide variety of geospectral, geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system. Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust. Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features. Develop and apply a range of data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions. Present to and collaborate with our external partners and stakeholders. Push the state of the art in analysis capabilities by implementing statistically rigorous spatially aware clustering, anomaly detection, and other analysis methods Collaborate with data scientists, geoscientists and engineers to invent and deploy algorithms that combine large and complex data sets for mineral exploration and discoveries Qualifications Demonstrated ability to quickly absorb and synthesize complex information, with a track record of high intellectual rigor in a professional setting. Exceptional curiosity and eagerness to learn, with a proactive approach to exploring new concepts and technologies. A successful track record of developing complex equipment with cross-disciplinary teams and vendors. Technical skills, including extensive experience with: Physical measurement and data analysis systems that use phenomena such as optics, electromagnetism, radiation, and gravity. Applying scientific knowledge to identify and prototype emerging technologies Systems integration and data acquisition. Python’s data science packages and general software engineering practices. Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines. SQL, as well as familiarity with non-relational databases. Cloud computing resources. Building a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the results. Data analysis, physics analysis, and applied statistics on a broad range of types of data including data from physical systems. Capacity to dive deep on novel challenging problems in applying ML to mineral exploration, including understanding a complex domain of geology and mineral exploration practices as well as working with limited, disparate and noisy data sources Experience deploying sensors in the field Work practices and motivation: Ability to take ownership and responsibility of large projects. Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Open to working directly with geologists in the field. Enjoys constantly learning such that you are driving insights and innovations. Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers. A strong communicator who enjoys working with colleagues across the company. Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities. Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company. Ability to independently prioritize multiple tasks effectively. It is also helpful but not required to have experience with: Remote sensing Creating machine learning models on geospatial data Image processing or computer vision Project and team management What to Expect Joining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field. KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status. This position is Full-time Exempt Salary is one part of KoBold’s total compensation. The US salary range for this role is between $125,000 and $235,000, and will depend on your skills, qualifications, experience, and location. In addition to salary, we offer equity compensation. We also offer benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer paid sick time and parental leave." Location: Remote, Candidates can be located anywhere in the United States or Canada. All candidates must be legally authorized to work in the United States or Canada. 10-20% travel required. Compensation ranges are listed in USD. If you are based outside the US, the range may not translate directly: US pay reflects a different market with different competitive dynamics, so we benchmark roles against the local market rather than converting the listed figure.

Location: Remote - US About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we're helping customers break free from the restrictive, overpriced legacy solutions that hold them back and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $125M in revenue and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. Role Overview Backblaze is seeking a Director, Enterprise Systems & Architecture  to own the technical vision, architecture, and operations of the company’s enterprise systems and emerging AI use cases. This is a senior leadership role with organization-wide scope — spanning commercial and financial systems, GTM technology, data architecture, and the deployment and governance of AI agents across the business. This leader will serve as the company’s architectural authority for enterprise platforms including Salesforce, NetSuite, Zendesk, Snowflake, and their surrounding integration ecosystem. Equally important, they will support the governed infrastructure layer that enables AI agents, automated workflows, and headless capabilities to operate safely at a public company. They will partner closely with the CRO, CISO, and CFO organizations to enable velocity while ensuring systems are compliant, auditable, and built to scale. The ideal candidate combines deep enterprise architecture expertise with hands-on platform engineering instincts and practical experience deploying AI agents in production environments. This is a build-and-operate role, not a purely advisory one. The Director will directly manage the Salesforce administration team and the NetSuite techno-functional team, and will grow a broader platform capability over time. Key Responsibilities Enterprise Architecture Strategy Define and maintain the enterprise systems architecture roadmap across the commercial, financial, and GTM technology stack, including Salesforce, NetSuite, Zendesk, Snowflake, and related platforms. Own and maintain formal architecture documentation including system topology maps, data flow diagrams, integration inventories, and architecture decision records (ADRs). Establish and enforce architectural governance standards and review processes for all material system changes across the enterprise. Define reference architectures and design patterns for integrations, data exchange, platform extensibility, and AI agent workloads. Lead build vs. buy evaluations and establish platform selection criteria — including for AI tooling, agent orchestration frameworks, and LLMOps infrastructure — aligned with long-term architectural goals. Ensure systems architecture supports scalability, data integrity, security, and operational efficiency in a public-company environment. Systems Architecture & Integration Design Serve as the lead architect for the design and implementation of integrations across Salesforce, NetSuite, Zendesk, Snowflake, Orb, and other enterprise platforms. Establish and enforce design standards, data contracts, and integration governance across all enterprise systems. Own the enterprise architecture review board, evaluating proposed system changes for scalability, compliance, security, and alignment with long-term design goals. Define integration patterns (event-driven, API-first, middleware) and ensure consistent application across the technology ecosystem. Partner with the Data Engineering team to ensure data pipelines, data models, and platform integrations reflect sound architectural principles and support reliable analytical and operational outcomes. Lead evaluation and selection of new technologies, including iPaaS and middleware platforms, ensuring alignment with the broader architecture. Architecture Governance & Advisory Serve as the company's technical authority on enterprise systems design questions, providing architectural guidance to Revenue Operations, Finance, and Data Engineering leadership. Lead architecture review sessions and provide formal design approval for major system initiatives and platform changes. Produce and maintain architectural roadmaps, standards documentation, and technical decision frameworks that guide delivery teams and stakeholders. Translate complex business requirements into scalable, future-proof architectural solutions, ensuring alignment between business priorities and technical design decisions. Establish strong feedback loops with business teams to ensure the architecture evolves alongside organizational needs. Mature the infrastructure that governs AI agent workflows — ensuring all agents and automated systems operate through governed identity, API gateway, secrets management, logging, and reconciliation layers. Maintain and enforce change management standards for workflow deployments, prompt changes, and policy updates — including GitHub-backed version control and CI/CD deployment gates. Ensure AI agent operations comply with SOX IT General Controls, data privacy requirements (GDPR/CCPA), and internal data governance standards. Build and maintain observability infrastructure in partnership with the security team for agent operations, including real-time dashboards, alerting on anomalous behavior, and audit trail evidence for SOX and compliance purposes. Team Leadership & Vendor Governance Lead and develop a team of Business Systems administrators, contractors, providing mentorship and clear career development direction. Establish best practices for systems lifecycle management, change management, and project delivery. Manage vendor and contractor relationships, ensuring external resources operate within defined architectural standards and governance frameworks. Champion a culture of technical rigor, documentation discipline, and continuous improvement across the team. Qualifications Required 10+ years of experience in Enterprise Architecture, Business Systems, or Platform Engineering roles, with demonstrated ownership of multi-system environments at a public or compliance-regulated company. Proven experience deploying, monitoring, and governing AI agents or LLM-powered workflows in production, including prompt versioning, agent identity management, and audit logging. Deep experience architecting and governing Salesforce CRM environments at scale, including data model design, integration patterns, and access controls. Strong working knowledge of NetSuite and Snowflake from both an architectural and operational perspective. Experience building and operating API gateway, secrets management, and identity-based access control infrastructure in support of automated workflows or agent systems. Solid understanding of SOX IT General Controls and application controls, with experience producing control evidence in a public company environment within the last 3 years. Proven track record managing multi-functional business systems or platform teams, including direct management of admins and techno-functional resources. Experience designing integration architectures using event-driven, API-first, or middleware patterns. Strong communication and stakeholder management skills with the ability to engage credibly across technical teams, senior business leaders, and external auditors. Experience with workflow versioning, GitOps patterns, and CI/CD pipelines for business systems deployments. Preferred Proficiency with architecture and security frameworks to enable the responsible usage of AI Hands-on experience with iPaaS or middleware platforms (e.g., Fivetran, Polytomic, MuleSoft, Boomi, Celigo) at a design and governance level. Experience developing master data management (MDM) strategy and data governance frameworks. Experience managing analytics architecture and BI platforms such as Tableau. Salesforce and NetSuite certifications. Experience working in public or large enterprise technology environments with compliance and audit requirements. What We Offer Competitive compensation and equity package Full benefits including medical, dental, vision, and 401(k) with matching RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook to use for work, plus a generous stipend to personalize your workstation Childcare bonus (human children only) Fertility treatment and support Learning & development program Commuter benefits A collaborative and transparent culture that supports a healthy work-life balance Pay Transparency To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. Final offer amounts are determined by multiple factors including candidate location, skills, depth of work experience, and relevant licenses/credentials. The expected salary range for this role is $190,000 - $220,000. At Backblaze, we value being fair and good to our customers, partners, and employees. Diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We are proud to be an Equal Opportunity Employer.