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.
ОфисseniorLondon & San Francisco; Relocation support and visa fees (if applicable)
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: 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 multinational enterprises. Every one of those deployments involves custom engineering: integrating with the customer's coding agents and security stack, running in their cloud or on-prem environment, and tuning monitors to their workflows.
We are looking for a Forward Deployed Engineer to own that work end to end. You will be the technical face of Watcher to customers across the entire lifecycle: running technical evaluations and POCs with prospects, deploying Watcher into customer environments, building the integrations and custom capabilities they need, and providing white-glove support that turns early customers into long-term partners. You are an engineer first. When a customer needs something, your default is to build it, and then to work with the product team to decide what becomes part of the core product.
This is truly a "start-up role." You will be one of the first dedicated customer-facing engineers, you will have significant say in shaping how Apollo deploys and supports Watcher, and you can earn more responsibility quickly. As we grow, this role can develop toward leading forward-deployed engineering, solutions architecture, or core product engineering, depending on your interests.
KEY RESPONSIBILITIES
Deployment and integration engineering (~40%)
Own customer deployments end to end: cloud, on-prem, and self-hosted backends, from architecture discussion through production rollout.
Build integrations between Watcher and customer environments: coding agent setups (Claude Code, Codex, Cursor), SIEM and security operations tooling, identity and access systems, CI/CD pipelines.
Configure and tune monitors, policies, and permissions for each customer's workflows, and validate that monitoring quality holds on their real traffic.
Debug issues in environments you don't control, often under time pressure, and drive them to resolution with the product team.
Pre-sales and technical evaluation (~30%)
Run technical evaluations and POCs with prospects: scope the pilot, deploy Watcher on their agent traffic, and demonstrate concrete value (caught failures, security coverage, developer experience).
Serve as the technical counterpart to security and engineering leaders during evaluations: answer architecture and security questions, run demos on the prospect's actual use cases rather than canned examples.
Work with our AI Security & Control Engineer on security questionnaires, architecture reviews, and customer pen-test support during procurement.
Feed honest signal back into the team about why deals progress or stall technically.
White-glove support and product feedback (~30%)
Be the named technical contact for key customers. Own their escalations, incident communication, and feature requests.
Build customer-specific capabilities where warranted, and drive the "should this be product?" conversation with the Engineering Manager and product engineers so one-off work compounds into the roadmap.
Turn deployment experience into leverage: documentation, deployment tooling, and runbooks that make every subsequent deployment faster and less bespoke.
Represent the voice of the customer in planning: you will know better than anyone what real security and platform teams need from Watcher.
REPRESENTATIVE PROJECTS
Land a lighthouse enterprise:
Run a POC for a large enterprise with a strict security posture: scope the pilot with their security team, stand up a self-hosted backend inside their infrastructure, integrate with their SIEM, tune monitors on their traffic, and present results that convert the pilot into a production contract.
Build a reusable deployment path:
After your first several deployments, turn the bespoke steps into a repeatable, documented, partially automated deployment package (infrastructure templates, integration modules, validation checks) that cuts time-to-production for new customers by more than half.
Ship a customer-driven capability into the product:
Take a recurring customer request (e.g. a custom alert routing scheme or a new agent integration), build it for the customer who needs it, generalize it with the product team, and ship it as a core Watcher feature.
Rescue a wobbly account:
A customer's monitors are noisy, their engineers are annoyed, and their security lead is questioning the renewal. Diagnose the root causes of their traffic, retune the configuration, fix the underlying issues with the product team, and win back their confidence.
JOB REQUIREMENTS
Must-haves
Strong engineering foundation.
3+ years building and shipping production software. You can work across the stack (Python and TypeScript primarily), read unfamiliar code fast, and are comfortable with cloud infrastructure, networking basics, and deployment tooling. You will regularly build under constraints you don't choose, in environments you don't control.
Genuinely good with customers.
You communicate clearly with both hands-on engineers and security leadership, you stay calm and constructive when something is on fire, and customers come away trusting you. This is not a tolerance requirement; you should like this part of the job.
High agency and ownership.
When a customer is blocked, you don't wait for a ticket to be routed. You find the problem, fix it or escalate it with a proposed solution, and follow through until it's resolved.
Startup pace.
You are excited about a fast-moving environment, comfortable with ambiguity and changing priorities, and willing to grind when it matters, including occasionally at customer-driven hours.
Judgment on custom vs. core.
You can tell the difference between a request worth building bespoke, a request that should become a product, and a request to push back on, and you can deliver that pushback to a customer gracefully.
Strong written communication.
Deployment docs, incident updates, and POC reports need to be clear and precise.
Comfortable leveraging AI heavily
for engineering and customer work, while holding the output to a high standard.
Strong nice-to-haves
Prior FDE, solutions engineering, or professional services experience,
especially at a developer-tools, security, or infrastructure company.
Experience deploying software into enterprise environments:
on-prem, VPC deployments, SSO/identity integration, security reviews, procurement processes.
Familiarity with the enterprise security stack
(SIEM, DLP, endpoint tooling) and with how security teams evaluate vendors.
Experience with coding agents as a power user or builder.
You have used Claude Code, Codex, Cursor, or similar tools heavily, or built agent tooling yourself.
Pre-sales exposure:
you have run POCs or technical evaluations and know how to demonstrate value on a prospect's terms.
Willingness to travel
occasionally to customer sites.
Explicitly not required
Formal AI safety background.
We need excellent customer-facing engineers who can learn the AI safety context.
Sales experience or quota history.
You support deals technically; you don't carry a number.
Deep expertise in every technology we use.
We care about demonstrated ability to learn fast in unfamiliar environments, which is the core skill of this job.
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, with occasional travel to customer sites. 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: 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: 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: Tokyo, Japan
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
Anthropic is expanding its reseller program in Japan and Korea. As our Reseller Operations Manager for Japan and Korea, you'll own how resellers in both countries get onboarded, transact, get paid, and get supported, across both of our resale motions: hyperscaler resale, where partners resell Claude through the cloud marketplaces (AWS Bedrock today, Google Cloud Vertex AI and Microsoft Foundry to follow), and direct resale, where partners resell on Anthropic paper through our own quote-to-order and billing systems. The global team builds the program; you make it work for Japanese and Korean partners and feed back what has to change.
This is an operator role, not a partner manager role. In the first months you'll be validating deal registrations and answering partner tickets yourself; by the end of the first year the volume should be running on documented process, service levels, and vendor or system coverage that you set up.
Key responsibilities
Own reseller onboarding for Japan and Korea end to end: application intake, screening coordination, agreement execution, marketplace authorization, entitlement setup, and activation, and keep the partner record in Salesforce decision-grade for both regions.
Run hyperscaler (3P) reseller operations: deal-registration intake and validation within SLA, marketplace authorizations and private-offer processing with the cloud alliance teams, and end-customer reporting on every reseller transaction so partner-sourced revenue can be attributed.
Run direct (1P) reseller operations: partner quotes and order forms, order booking and provisioning, and commit tracking and true-ups with Deal Desk, RevOps, and Accounting, and work with Finance and Tax on local invoicing, currency, and consumption-tax handling for each transaction route.
Run the regional side of reseller incentives: eligibility, validation of quarterly payouts, and partner disputes, in partnership with the global incentive operations team and Finance.
Stand up first-line operational support for resellers in Japanese and Korean during local business hours, inside the global partner support queue rather than alongside it, and localize the onboarding, deal-registration, and ordering content partners depend on.
Manage any outsourced or contracted operations capacity used in region (scope, quality, service levels) and coordinate with Enablement on the logistics of local-language certification and training.
Own reseller reporting for Japan and Korea: registration volume and cycle time, activation, attach, and attributed revenue by partner and by motion, and use it to tell the regional teams and the global program what to fix next.
Adopt the global Partner Operations playbooks where they fit, write the in-region variants where they don't, and represent Japan and Korea requirements in partner systems and automation work so manual volume doesn't grow with partner count.
Minimum qualifications
Several years in channel, reseller, distribution, or partner operations at a technology company, ideally touching both a cloud-marketplace motion and a direct or contract-based resale motion.
Working proficiency in Japanese, Korean, and English. You'll run operational relationships with partners in both countries and work daily with a US-based team; proficiency doesn't need to be identical across all three, but you need to be able to work with partners in both regions.
Practical knowledge of how at least one major cloud marketplace's reseller program works (authorizations, private offers, deal registration), or deep experience in one motion and a track record of picking up the other quickly.
Hands-on experience with quote-to-order, order management, or partner billing, and the Finance, Deal Desk, and Legal coordination that comes with it.
A track record of taking a manual process and turning it into documented workflow, service levels, and reporting, including managing vendors or contractors who execute part of it.
Hands-on Salesforce experience (reporting, data maintenance), and comfort being the only operations person in the region while working with a team many time zones away.
Preferred qualifications
Experience inside the Japanese or Korean enterprise reseller and systems-integrator ecosystem, including local invoicing, credit, and consumption-tax conventions.
Experience with partner incentive or rebate operations, or with a partner program during its launch phase.
Experience with PRM or deal-registration tooling, or building automations with Claude or similar tools to run operational workflows at volume.
How this role works with the team
You'll report into Partner Experience and work day to day with two groups. The global Partner Operations team in San Francisco owns the reseller program's systems, and playbooks; our reseller operations owner there is your direct counterpart, and you'll split work along a simple line: they own the global process, you own its execution and adaptation in Japan and Korea. The Japan and Korea go-to-market teams own the partner relationships and the commercial conversations; you're the operational layer underneath them, and the person they come to when something about a partner's onboarding, order, or payout needs to move. You'll also be the regional voice into Finance, Deal Desk, RevOps, and the cloud alliance teams on anything that has to work differently in these markets.
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: Malaysia; Philippines; Indonesia
For management consultants and strategy professionals ready to become hands-on operators.
About Intellect
Intellect is a leading mental health benefits company, trusted by forward-thinking employers, insurers and governments to deliver care that is local, personalised and effective at scale. Today, we serve more than 4 million people across over 100 countries through our technology platform and global network of clinical providers.
Our platform supports workforces at companies including Dell, ByteDance, Visa, Shell, McDonald’s and hundreds more, enabling organisations to provide accessible, culturally relevant and high-quality mental healthcare to their people.
Driven by our mission to make mental healthcare accessible to everyone, Intellect combines technology, clinical care and local expertise to deliver meaningful outcomes across diverse markets and populations.
The Opportunity
We are hiring several exceptional management consultants, strategy professionals and other strongly trained generalists to take on high-priority strategic and operating mandates across Intellect.
This opportunity is particularly suited to people who have developed rigorous problem-solving capabilities in consulting, strategy, transformation or other demanding environments and now want to become hands-on operators.
This is not a conventional internal strategy or advisory role. You will be expected to move beyond diagnosing problems and making recommendations, working through operational detail to implement solutions, build capabilities and deliver measurable results.
This search spans several priority mandates rather than a single central Strategy & Operations team. Depending on your experience, strengths and Intellect’s needs, you may initially lead a cross-functional strategic initiative or move directly into an embedded operating role within areas such as operations, commercial enablement, business performance, market development, new product and offering development, or another critical function.
During the interview process, we will explore where your capabilities and motivations are best matched to Intellect’s priorities. Before an offer is made, we will align with you on a specific initial mandate, title, reporting line, objectives and measures of success.
Strong performers will have the opportunity to take on broader functional, market or business responsibilities based on their demonstrated impact and Intellect’s evolving needs.
Potential Mandates
Your initial mandate could involve one or more of the following:
Operations: Improving service delivery, workforce planning, quality, efficiency, automation, performance management and operating processes
Commercial enablement: Strengthening sales processes, pipeline management, pricing, proposals, commercial analytics, account planning and coordination between commercial and delivery teams
Business performance: Building management systems, KPIs and operating cadences, then leading interventions that improve functional or market performance
New products and offerings: Identifying unmet customer or market needs, developing and validating new products, services or propositions, building the business and operating case, and working cross-functionally to launch and scale them
Market development: Evaluating and developing new markets, customer segments, strategic partnerships or routes to market
Strategic initiatives: Leading high-priority, cross-functional work sponsored by Intellect’s senior leadership
Embedded operating ownership: Joining a priority function or taking direct responsibility for a defined team, capability, programme or business area where there is a strong fit
These examples illustrate the range of potential mandates rather than a fixed rotation or predetermined sequence. Each successful candidate will be hired into a defined initial role based on mutual fit and business need.
Your Responsibilities
Solve High-Priority Business Problems
Take ownership of complex priorities that materially affect Intellect’s growth, performance or ability to scale
Structure ambiguous problems, identify the questions and drivers that matter, and translate analysis into clear decisions and action
Develop practical recommendations grounded in data, frontline realities, customer needs and commercial considerations
Work directly with functional, market and senior leaders to define priorities, resolve constraints and maintain momentum
Make sound decisions despite incomplete information, competing priorities and limited resources
Move from Strategy to Execution
Own initiatives end to end, from diagnosis and business-case development through implementation and measurable results
Translate decisions into practical implementation plans with clear owners, milestones, dependencies and success measures
Work alongside the teams responsible for execution rather than handing initiatives over after the analysis is complete
Use data and frontline insight to identify constraints, test interventions and improve outcomes quickly
Track results, identify where execution is falling short and intervene directly to get initiatives back on course
Build the processes, tools, operating cadences and accountability required to sustain improvements
Build Operating Capabilities
Improve how relevant parts of Intellect plan, measure and manage performance
Build management systems, dashboards, review processes and decision frameworks that improve execution and accountability
Strengthen coordination across functions, markets and levels of seniority
Help translate strategic or commercial priorities into scalable operating models and repeatable playbooks
Build the capabilities, processes and team structures required for your area to operate effectively
Take on increasingly broad operating responsibility as organisational needs and your capabilities evolve
Requirements
You typically have approximately 4-10 years of experience, ideally including time in management consulting, strategy, transformation, professional services or another demanding operating environment
You have received strong training in structured problem-solving and can bring clarity to complex or ambiguous situations
You have strong analytical and communication skills and can independently produce work that is ready for senior leadership decisions
You want to move from advising organisations to helping build and operate one
You are energised by implementation and ownership, not only recommendations or presentations
You are commercially minded and understand how operational, customer and financial considerations connect
You can work effectively with incomplete information, competing priorities and limited resources without waiting for perfect certainty
You are highly analytical and comfortable working with data, but do not allow analysis to become a substitute for action
You can influence senior stakeholders while building trust and credibility with the teams responsible for day-to-day execution
You combine high standards with low ego and are willing to move between strategic questions and detailed operational work
You take ownership naturally, follow through reliably and maintain high standards without requiring extensive direction
You are comfortable working across functions, cultures, markets and levels of seniority in a fast-moving organisation
Experience in healthcare, technology, insurance, enterprise services or multi-market businesses is helpful but not required
Above all, you are motivated by the opportunity to become a substantive operator and build something meaningful, while helping Intellect expand access to high-quality mental healthcare.
Why Join Intellect
Work directly on consequential business problems with senior leaders in a fast-growing regional healthcare company
Move beyond advising businesses and build genuine experience owning and operating one
Take meaningful responsibility earlier than you may receive in a traditional consulting or corporate environment
Gain exposure to different functions, markets and dimensions of building and scaling a regional business
Find an initial mandate that makes effective use of your strengths while addressing a genuine business priority
Earn the opportunity to take on broader functional, market or business responsibilities through demonstrated impact
Apply your capabilities to a mission that meaningfully improves access to mental healthcare
Benefits
Why You’ll Love Working With Us:
Global company
– work in a diverse environment with people from nearly 20 countries
Generous leave policy
– time off to rest and recharge
Christmas week off
– company-wide break during Christmas, separate from annual leave
Birthday leave
– enjoy a day off on your birthday
Quarterly mental health days
– one day off every quarter to focus on your wellbeing
Flexible work arrangements
– work in a way that suits your lifestyle and goals
Work-life balance
– a culture that values personal time and long-term wellness
Medical coverage
– comprehensive insurance for peace of mind
Performance bonus
– high performance is recognised and rewarded
Development budget
- annual allowance to support your professional development
Mental health support
– premium coaching access to our mental health app and resources & dedicated budget for clinical and psychiatric care
Socials
and communities
– regular non-work events/activities to connect and have fun together
Location: San Francisco; London
We are hiring builders to define how people talk to, show things to, and hear from AI
In 2026, we launched Computer, the defining product for the new era of agentic AI. We've scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
The Multimodal team builds the experiences and infrastructure that move AI interaction beyond touch and text — realtime voice, vision, and the platform systems behind them. We own the full path from a user speaking into a device to an answer coming back: the realtime session infrastructure that connects clients to frontier audio models, the backend orchestration that routes, records, and supervises live sessions, and the SDK that powers voice and multimodal experiences across Perplexity's apps.
As a backend engineer on Multimodal, you will design and scale the distributed systems that carry live voice sessions in production — and drive entirely new products at the intersection of voice, vision, and agents.
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Design, build, and scale the backend session-worker architecture that powers realtime voice: durable per-session workers, provider routing, and stateful streaming over gRPC.
- Own distributed-systems problems end-to-end — session lifecycle, crash recovery, reconnection and replay, multi-region deployment, and graceful degradation under real production load.
- Build provider-agnostic streaming protocols from our backend to the Rust SDK that powers voice across every client stack.
- Drive new products and initiatives in voice and multimodal AI from problem definition through technical design, implementation, and launch.
- Build the orchestration layer that lets live voice models delegate work to tools, agents, and long-running tasks — safely, asynchronously, and at scale.
- Partner closely with SDK, client, infrastructure, and model teams; work across the stack when the product demands it, from backend services to client-facing APIs.
WHAT WE'RE LOOKING FOR
- 4+ years of professional software engineering experience building backend or distributed systems.
- Strong experience in Rust, Python, or Go (we work primarily in Rust and Python).
- Experience designing and operating production distributed systems: streaming RPC (gRPC or similar), stateful services, message-driven architectures, and failure recovery.
- Solid understanding of cloud infrastructure — deploying, scaling, and operating services on AWS or equivalent.
- Strong product judgment and the ability to translate user problems into simple, effective technical solutions.
- Genuine interest and adoption of AI products and willingness to learn quickly.
NICE TO HAVE
- Experience with realtime media systems: voice, audio streaming, WebRTC, or low-latency transport.
- Full-stack range — comfort building end-to-end, from backend services through client SDKs or web frontends.
- Experience integrating LLMs, speech models, or computer vision into production systems.
- Experience with agent frameworks, tool-calling architectures, or sandboxed execution environments.
- Time spent at a fast-growing startup or on a high-ownership engineering team.
OUR MISSION
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: San Francisco; London
We are hiring builders to define how people talk to, show things to, and hear from AI
In 2026, we launched Computer, the defining product for the new era of agentic AI. We've scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
The Multimodal team builds the experiences and infrastructure that move AI interaction beyond touch and text — realtime voice, vision, and the platform systems behind them. We own the full path from a user speaking into a device to an answer coming back: the realtime session infrastructure that connects clients to frontier audio models, the backend orchestration that routes, records, and supervises live sessions, and the SDK that powers voice and multimodal experiences across Perplexity's apps.
As a backend engineer on Multimodal, you will design and scale the distributed systems that carry live voice sessions in production — and drive entirely new products at the intersection of voice, vision, and agents.
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Design, build, and scale the backend session-worker architecture that powers realtime voice: durable per-session workers, provider routing, and stateful streaming over gRPC.
- Own distributed-systems problems end-to-end — session lifecycle, crash recovery, reconnection and replay, multi-region deployment, and graceful degradation under real production load.
- Build provider-agnostic streaming protocols from our backend to the Rust SDK that powers voice across every client stack.
- Drive new products and initiatives in voice and multimodal AI from problem definition through technical design, implementation, and launch.
- Build the orchestration layer that lets live voice models delegate work to tools, agents, and long-running tasks — safely, asynchronously, and at scale.
- Partner closely with SDK, client, infrastructure, and model teams; work across the stack when the product demands it, from backend services to client-facing APIs.
WHAT WE'RE LOOKING FOR
- 4+ years of professional software engineering experience building backend or distributed systems.
- Strong experience in Rust, Python, or Go (we work primarily in Rust and Python).
- Experience designing and operating production distributed systems: streaming RPC (gRPC or similar), stateful services, message-driven architectures, and failure recovery.
- Solid understanding of cloud infrastructure — deploying, scaling, and operating services on AWS or equivalent.
- Strong product judgment and the ability to translate user problems into simple, effective technical solutions.
- Genuine interest and adoption of AI products and willingness to learn quickly.
NICE TO HAVE
- Experience with realtime media systems: voice, audio streaming, WebRTC, or low-latency transport.
- Full-stack range — comfort building end-to-end, from backend services through client SDKs or web frontends.
- Experience integrating LLMs, speech models, or computer vision into production systems.
- Experience with agent frameworks, tool-calling architectures, or sandboxed execution environments.
- Time spent at a fast-growing startup or on a high-ownership engineering team.
OUR MISSION
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: San Francisco; Seattle; New York City; Toronto
PERPLEXITY API PLATFORM
Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers. From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry.
We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike. Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between.
We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds.
ABOUT THIS ROLE
Perplexity is seeking strong engineers with a passion for delivering frontier intelligence and infrastructure to developers. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces.
As a member of our team, you'll work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.).
KEY RESPONSIBILITIES
- Design, build, and operate mission-critical APIs that provide our customers the building blocks for frontier intelligence.
- Own and evolve the API gateway and routing layer: authentication, authorization, rate limiting and quotas, usage metering, and request routing across heterogeneous upstream services.
- Build the paved road for API services: standardized service scaffolding, container builds, CI/CD, Kubernetes and Helm deployment, and progressive rollouts with fast rollback, so a new API product goes from idea to production in days, not weeks.
- Build API governance into the platform: contract-first schemas, breaking-change detection in CI, versioning and deprecation workflows, and SDKs and documentation generated from a single source of truth.
- Unify cross-cutting capabilities (billing and usage, rate limiting, organization and identity settings, analytics and observability) so every API product gets them by default instead of rebuilding them.
- Ensure low latency and high throughput through aggressive performance optimization (including on upstream systems).
- Harden system security and reliability across heterogeneous compute environments, and operate what you build: SLOs, on-call, and incident response.
- Collaborate across teams to bring novel frontier capabilities into the API Platform, and partner with infrastructure teams on compute, networking, secrets, and security.
- Continually reimagine the customer needs of tomorrow (and the architectures to serve those needs), while faithfully serving the customer workloads of today.
- Uphold engineering excellence through design reviews, code quality, and internal documentation.
QUALIFICATIONS
- 5+ years of backend engineering experience with Python, Go, or Rust, including significant time building platforms or infrastructure used by other engineering teams.
- Strong understanding of high-traffic API design: schema evolution & versioning, idempotency, authentication patterns, rate limiting, and performance tuning.
- Hands-on experience building and operating API gateways, reverse proxies, or routing layers: authentication and authorization, rate limiting and quotas, request routing, traffic shaping, and per-request observability.
- Experience building API governance tooling: contract-first API design, breaking-change detection and API linting in CI, versioning and deprecation workflows, and SDKs and documentation generated from the contract.
- Platform depth across the build and deploy path: you have owned CI/CD pipelines, container builds and base images, infrastructure as code, and progressive delivery (canary or blue-green) on a major cloud.
- A track record of owning a platform end to end: identifying the need, designing it, aligning the teams that depend on it, shipping it, and operating it, while raising the engineering bar for the teams building on it.
- Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt for developers and agents alike.
Strong plus:
- Experience with modern AI APIs (including latency tuning, streaming, model orchestration, emerging technical standards).
- Usage-based billing and metering systems, multi-tenant organization and identity models, and usage analytics pipelines.
- Observability for API platforms: structured logging pipelines, metrics, tracing, and SLO tooling.
Location: Elmira, NY
Via is on a mission to create public transportation systems that provide greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally.
As an
Operations Manager
at Via, you are the force that keeps our services running reliably for the communities that depend on them. This is a high ownership, boots-on-the-ground role where you’ll lead daily operations, tackle real-time challenges, and continuously elevate the rider and driver experience.
**This is a fully in-person position with the expectation that you will be onsite 4-5 days per week.**
What You’ll Do:
Run the daily onsite operations of our service. You’ll make sure our operations run smoothly to provide our riders with safe, reliable, and accessible transportation
Make informed, real-time decisions about fleet, driver supply, compliance, rider needs, and unexpected issues - stepping in quickly to ensure continuously excellent and dependable service
Guide and support drivers - building strong relationships, addressing concerns, and ensuring they feel equipped to deliver great service
Turn rider and community feedback into tangible improvements, spotting patterns and collaborating with internal teams to make thoughtful and actionable operational improvements
Use data and technology to understand service performance, diagnose problems, and implement solutions that enhance efficiency and rider experience
Act as the operational bridge between city partners, drivers, and Via central teams to help bring the community's goals to life
Who You Are:
Operationally experienced, with a background in people management, logistics, customer service, or process-oriented work
Relationship oriented, earning trust from drivers, riders, teammates, and city partners through clear communication and follow-through
Hands-on and proactive, preferring to be in the field, learning the service firsthand, and solving problems where they happen
Tactical and strategic, able to problem-solve issues as they come up but also think long term about solutions to mitigate these occurrences
Mission driven, motivated by expanding access to transportation and improving how communities move
You possess a deep understanding of the unique challenges of fixed-route transit, including managing time-point adherence, breakdown escalations, and the logistical complexities of run scheduling for large-scale operations
You are comfortable working around Class B/Class A vehicles and understand the specific safety, maintenance, and maneuvering requirements associated with 35-to-45-foot coach buses
You have a proven track record of managing and retaining professional CDL drivers, emphasizing a culture of safety and compliance (DOT/FMCSA) while maintaining high morale in a high-pressure, scheduled environment
Able to commute to the Elmira area 4-5 days a week
Compensation and Benefits:
Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable.
Salary Range: $65,000-$90,000 / per year.
We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching.
There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride?
Via is an equal opportunity employer.
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: London
About Engineering at Cloudflare
Cloudflare’s Engineering team is responsible for the software platform that serves millions of HTTP requests per second on average. We also build and run the tools that empower our colleagues to rapidly deliver products to market, as well as monitor and deploy software updates across the globe to over 200+ data centers. You’ll experience the full breadth of technologies needed to run one of the world’s largest networks serving the world's largest customers such as Shopify and VISA.
About The Team
Cloudflare’s Front Line (FL) group is responsible for maintaining and developing the main Cloudflare web server, processing over 150 million HTTP requests per second. In other words, we own the largest web server in the world.
The team is responsible for improving efficiency & safety, deployment frequency and automation & observability. The platform is entirely built on Rust, with over 20 teams collaborating on the same codebase.
What you'll do
You will work with a team of talented engineers to increase the availability, safety & reliability of the edge ecosystem. You will improve the platform, increasing reliability, availability, and security increase at the edge and help to build the best web server in the world.
This is a unique opportunity to be at the nexus of Cloudflare edge applications and operations and to collaborate closely with most other product and engineering teams at Cloudflare.
Examples of desirable skills, knowledge and experience
Solid competencies in practical computer science, applying the right algorithms, data structures, concurrency control systems to software design, and building large, distributed systems
Experience in performance engineering
Driving communication and consensus across teams
A drive for continuous improvement when it comes to both operations and new product development
Bonus Points
These are things which the role is likely to require; we’re happy to help you learn on the job, but prior experience is beneficial
Experience of languages: Rust, Go
Knowledge of web servers and web protocols
Distributed systems
Web security issues and industry standards
Most importantly, we are looking for people who want to learn something new. We maintain the largest web server in the world, and we face unique challenges. You will be collaborating and designing innovative solutions to improve the life of millions of people around the globe, everywhere they are, whatever their needs are.
Join and help us build a better Internet!
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: 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: London (Hybrid)
About Engineering at Cloudflare
Cloudflare’s Engineering team is responsible for the software platform that serves 115 million HTTP requests per second on average. We also build and run the tools that empower our colleagues to rapidly deliver products to market, as well as monitor and deploy software updates across the globe to 350+ data centers. You’ll experience the full breadth of technologies needed to run one of the world’s largest networks serving the world's largest customers such as Shopify and VISA.
About The Team
Cloudflare’s Front Line (FL) group is responsible for maintaining and developing the main Cloudflare web server, processing over 100 million HTTP requests per second. In other words, we own the largest web server in the world.
The Product Team is responsible for creating new customer-facing features, improving efficiency & safety, and building the next iteration of Cloudflare products. The platform is mostly in Rust, and most of our API is in Golang.
What you'll do
You will work with a team of talented engineers to create new features to increase the availability, safety & reliability of the edge ecosystem. You will improve current features, create new systems from scratch, and collaborate with platform teams to help to build the best web server in the world, with a particular focus on the rules engine and associated control plane.
This is a unique opportunity to be at the nexus of Cloudflare edge applications and operations and to collaborate closely with most other product and engineering teams at Cloudflare.
Examples of desirable skills, knowledge and experience
Solid competencies in practical computer science, applying the right algorithms, data structures, concurrency control systems to software design, and building large, distributed systems
Experience in performance engineering
Driving communication and consensus across teams
A drive for continuous improvement when it comes to both operations and new product development
Bonus Points
These are things which the role is likely to require; we’re happy to help you learn on the job, but prior experience is beneficial
Experience of languages: Rust, Go
Knowledge of web servers and web protocols
Distributed systems
Web security issues and industry standards
Most importantly, we are looking for people who want to learn something new. We maintain the largest web server in the world, and we face unique challenges. You will be collaborating and designing innovative solutions to improve the life of millions of people around the globe, everywhere they are, whatever their needs are.
Join and help us build a better Internet!
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: 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 (preferred)
San Francisco, CA
About the Role
Cloudflare is scaling its global connectivity and security platform while transforming into an AI-native organization powered by our own AI harness and developer infrastructure. As Senior Director, R&D HR Business Partnering, you will lead a global team of embedded HRBPs supporting senior executives across Engineering, Product, Security, and Research.
In this role, you serve as the strategic HR leader for R&D and the primary conductor bridging business leadership with our Centers of Excellence (Total Rewards, Talent Acquisition, Talent Development, People Operations). You will challenge and champion the business—architecting an organization built for AI-augmented velocity while protecting and evaluating the essential human elements of work: character, critical judgment, empathy, and leadership trust.
Key Focus Areas & Responsibilities
Business Acumen & COE Conduction
Partner directly with the Head of R&D and technical VPs to align talent strategy with Cloudflare’s product roadmap, platform architecture, and operational goals.
Act as the chief conductor across People Team COEs—synthesizing R&D’s operational realities to push COEs for tailored, high-impact talent programs while challenging R&D leaders to elevate their organizational standards.
Apply analytical rigor to people metrics, diagnosing organizational health, attrition trends, and productivity indicators to guide business decisions proactively.
Organizational Design & AI Integration
Architect agile, high-velocity R&D structures designed for AI-native workflows, optimizing team size, spans of control, and cross-functional interfaces across platform and product teams.
Partner with engineering leadership to rethink operating rhythms and team structures as development shifts from traditional models to AI-assisted, agent-driven engineering.
Talent Portfolio Management & Human Judgment
Evolve technical career frameworks, leveling, and role definitions to reflect the higher leverage expected in AI-native engineering environments.
Drive succession planning, critical-role mapping, and retention strategies for specialized technical talent across Cloudflare’s global hubs.
Establish clear boundaries between work optimized by AI and decisions requiring human judgment, ethical clarity, nuance, and character.
Driving Change & Strategic Initiatives
Drive complex, continuous change initiatives across global R&D teams, equipping leaders to navigate structural evolution, technological pivots, and shifting priorities with clarity.
Deliver custom, service-oriented solutions tailored to business needs, providing high-trust coaching to senior technical leaders as they navigate complex team dynamics with empathy and results.
Team Leadership
Lead a global team of HRBPs, setting a high standard for strategic partnership, business fluency, and execution speed.
What You'll Bring
Leadership & Scale: 15+ years of progressive HR experience, including 5+ years leading an HRBP team supporting technical R&D, Engineering, or Product orgs in high-growth environments.
Core Pillar Excellence: Demonstrated expertise across all four functional buckets: business acumen, organizational design, talent portfolio management, and driving change.
AI & Human Acumen: Deep understanding of how AI tools reshape technical workflows, combined with strong character assessment and human judgment when evaluating leadership potential and organizational health.
COE Orchestration: Proven track record acting as an operational conductor between executive stakeholders and specialized People functions to deliver integrated talent solutions.
Executive Presence: Ability to advise, challenge, and coach VP+ technical leaders with confidence, empathy, and business fluency.
Compensation
Compensation may be adjusted depending on work location.
For San Francisco Bay area the estimated salary range is $304,000 - $380,000
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: 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
Role Summary
Back in 2014, Cloudflare launched Universal SSL to provide all of our customers with the security of encrypted traffic between visitors and Cloudflare’s network. On the day we flipped the switch, we doubled the amount of sites using SSL/TLS on the internet. Since then, we’ve been working on providing even more ways to encrypt traffic easier and more effectively. To better serve our customers, we’re constantly improving our systems for issuing, managing, and deploying TLS certificates. By joining Cloudflare’s SSL/TLS Team, you can help ensure that every site owner has the ability to provide their users with a secure connection.
Your code will help ensure millions of websites have access to encryption. As such, the results of your code will be felt by millions of site owners and billions of visitors every day. We’re continuously providing technology to site owners that was previously only available to the largest organizations. Your contributions will help make the web a faster, safer, better, and more heavily encrypted place.
Cloudflare is looking for a Systems Engineer to help us build services with RESTful APIs and their own datastores using Go and other languages. You will also write and maintain functional specifications for your service, so others know how it works. In this role you will integrate multiple services via message queue systems and evaluate 3rd party and open source tools. You will design and implement alerts, write procedures for ops to handle such alerts, or serve as an escalation point for unresolved operational issues. You will also need to read and understand code from a legacy codebase to migrate logic to a modern services architecture and review the code of fellow engineers via pull requests. We strive to build reliable, fault-tolerant systems that can operate at Cloudflare’s scale.
Role Requirements (Must-Have Skills)
3+ years of professional experience building backend systems at a technology company
Experience writing production-quality code in Go (or other languages with a willingness to learn Go)
Proven experience building and operating distributed systems
Proficiency with modern Unix/Linux development and runtime environments
Strong debugging and troubleshooting skills with attention to detail
Track record of delivering well-tested, reliable code for production environments
Desirable Skills, Knowledge, and Experience
Experience designing and building RESTful APIs and full-stack applications
Familiarity with PKI/TLS concepts and certificate management
Experience writing technical documentation and specifications
Working knowledge of SQL and relational databases such as PostgreSQL
Understanding of distributed systems constraints: performance, caching, data storage/retrieval
Experience with message queues (Kafka, RabbitMQ, etc)
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 States
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 seeking a highly capable USA Regional Transportation Security Manager to lead the protection of high-value assets across all transportation operations in the United States.
This role holds end-to-end ownership of in-transit supply chain security across the US, covering all transportation lanes, carrier operations, and last-mile delivery of critical infrastructure. You will be responsible for shaping and executing regional transportation security strategy, managing risk across a complex carrier and logistics network, and leading the response to in-transit security incidents.
This is a high-impact role operating at the intersection of security, logistics, and operations, with direct influence on the resilience and integrity of Nebius’ infrastructure deployment across the US transportation network.
Your responsibilities will include:
Own and lead transportation security across the United States, with full accountability for regional in-transit risk and performance
Serve as the primary authority and escalation point for all transportation security matters within the US
Ensure the secure handling, packaging, and movement of high-value assets across all transportation nodes, from origin to final delivery
Define, implement, and continuously evolve regional transportation security standards, controls, and procedures aligned with global policies
Establish and enforce security requirements across transportation partners, including carriers, freight forwarders, and last-mile delivery providers
Conduct risk assessments across transportation routes, handoff points, and carrier operations, and implement effective mitigation strategies
Lead end-to-end response to in-transit security incidents (e.g., theft, loss, diversion, tampering), including coordination, investigation, and resolution
Manage and oversee GPS tracking, geofencing, and real-time monitoring platforms across active shipments
Drive continuous improvement of transportation security capabilities, including route security reviews, carrier vetting, and technology tools
Monitor and report on regional transportation security performance, risks, and trends, providing clear and actionable insights
Partner closely with the Global Transportation Security Manager, regional warehouse security, and infrastructure teams to ensure alignment and scalability
Operational Scope
Oversight of a geographically distributed US transportation network, including domestic and cross-border lanes
Regular engagement with carriers, freight partners, and last-mile vendors across multiple tiers
Travel within the United Statesrequired for route assessments, partner reviews, and incident response
We expect you to have:
Significant experience in transportation security,logistics security, or in-transit operational risk management
Proven experience owning security or operations across a large geographic region (US experience strongly preferred)
Strong experience working with transportation providers, including carriers, freight forwarders, and last-mile delivery partners
Demonstrated experience leading incident response and managing complex in-transit security events
Ability tooperate independently with a high degree of ownership and accountability
Strong stakeholder management and communication skills across internal and external partners
Analytical and structured approach to risk assessment and problem-solving
Fluent English (spoken and written)
It will be an added bonus if you have:
Experience in high-value or critical infrastructure transportation (e.g., data centers, electronics, technology hardware)
Background in law enforcement, military, or corporate security
Familiarity with supply chain security technologies (e.g., GPS tracking, geofencing, real-time monitoring platforms)
Familiarity with supply chain security (TAPA TSR)
Experience working in a global organization with cross-regional coordination
Operational Expectations
This role includes responsibility for leading response to critical in-transit security incidents, which may occur outside standard working hours
Operates within a global environment requiring coordination across multiple time zones
Supported by the Global Transportation Security Manager and regional teams, with clear ownership of transportation security outcomes within the US region
Key employee benefits in the US:
Health insurance:
100% company-paid medical, dental, and vision coverage for employees and families.
401(k) plan:
Up to 4% company match with immediate vesting.
Parental leave:
20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement:
Up to $85/month for mobile and internet.
Disability & life insurance
: Company-paid short-term, long-term and life insurance coverage.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$134,000
—
$167,000 USD
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: 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:
Lisbon, Portugal
About the Department
Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a hugely successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.
About the Team
We build products at the intersection of AI, search and retrieval, data insights, and product engineering.
As AI agents change how people discover and interact with the Internet, new problems are emerging around how content is found, understood, retrieved, and kept current. Cloudflare is uniquely positioned to help website owners make their content discoverable and to help agents find relevant, trustworthy information across our network. Building these capabilities requires solving problems across distributed systems, crawling, content ingestion, indexing, retrieval quality, developer experience, and reliable product delivery.
Cloudflare also has a unique perspective on how the Internet is changing. Our global network observes signals that can help us understand trends, identify when content changes, and measure the pulse of the Internet. Used responsibly, these signals could improve existing products, help customers and AI companies find fresher and more relevant information, and create entirely new capabilities and products. The opportunity is broad and still evolving. We need to deliver excellent products today while continuing to identify the problems Cloudflare is uniquely positioned to solve next.
We are a tight-knit group that communicates and collaborates regularly. We celebrate our achievements, support each other when we make mistakes, and hold each other and our work to a high standard.
About the role
We are looking for an Engineering Manager to lead engineering across some of our AI and Internet Data Insights portfolio.
You will be responsible for the people, execution, and engineering quality behind products that help customers make their content discoverable and turn complex Internet signals into useful experiences. You will partner closely with Product Management and engineering teams across Cloudflare to deliver current priorities and shape future opportunities. This is a management role for someone who is deeply technically credible. You will not be expected to write most of the code, but you should be able to understand the systems your engineers operate, challenge architectural decisions, ask the right questions when something is going wrong, and step into a technical problem when the situation calls for it.
At the same time, we are looking for a manager, not a tech lead with direct reports. Your success will be measured by the quality and output of the team you build, the engineers you develop, and the systems and products they deliver.
This role may require flexibility to be on-call outside of standard working hours to address technical issues as needed.
What you'll do
Manage, coach, and grow engineers working across AI-powered search, Internet data insights, and customer-facing products.
Own execution by establishing clear priorities, creating predictable delivery, and giving engineers the context and autonomy to own meaningful areas of the product.
Lead the development of search and retrieval capabilities that help people and AI agents find relevant, trustworthy, and current content.
Partner closely with Product Management to understand customer problems, shape the roadmap, and turn broad opportunities into clear engineering outcomes.
Help identify how signals from Cloudflare's global network can produce useful and trustworthy insights for customers, partners, and other Cloudflare products.
Explore where Cloudflare's unique view of Internet activity can improve content discovery, enable new product experiences, or support entirely new products.
Balance near-term product delivery with thoughtful technical investments that allow promising ideas to grow.
Own the operational health of the systems in your area, including observability, incident response, data and search quality, and long-term reliability.
Develop technical leaders and create space for engineers to lead architecture and implementation.
Responsibilities
We want you to love it here. This role is a great fit for you if:
You have led and developed high-performing engineering team(s) and can point to what that team shipped and how the people on it grew.
You are technically credible with experienced engineers. You can review a design, understand the trade-offs in a distributed system or data platform, and recognize when a technical problem needs deeper investigation.
You are comfortable managing a team working across several related technical areas and can create clarity without requiring every problem to fit neatly into a single box.
You care deeply about reliability and quality, particularly when the output of a system is data that people use to understand the Internet.
You have strong product judgment and enjoy working with Product Management to decide what is worth building, what needs improvement and what should not be built at all.
You are comfortable with ambiguity and with finding structure in areas where the opportunity is clearer than the roadmap.
You communicate clearly, give direct feedback, and can explain complex technical decisions to both engineers and non-engineers.
Examples of Desirable Skills, Knowledge, and Experience
Strong technical grounding in distributed systems, search systems, data-intensive systems, Internet infrastructure, or adjacent areas.
Experience building or operating products involving crawling, content ingestion, indexing, retrieval, analytics, or large-scale data processing.
Experience operating systems where correctness, reliability, and quality matter as much as feature delivery.
A track record of hiring, developing, and retaining strong engineers.
Experience partnering closely with Product Management to shape and execute a roadmap.
Experience taking products or major capabilities from an ambiguous opportunity to a clear customer outcome.
Strong written and verbal communication.
Bonus Points
Familiarity with Retrieval-Augmented Generation (RAG), which combines information retrieval with generative AI to produce answers grounded in selected source material.
Experience building products for AI developers, AI agents, publishers, or content-heavy websites.
Experience working with large-scale telemetry or Internet-scale datasets.
Experience turning complex underlying systems or data into useful products for a broad audience.
Familiarity with Cloudflare Radar, Internet measurement research, or the broader ecosystem of tools used to understand Internet performance, availability and security.
Compensation
For Portugal based hires: Estimated annual salary of €74,000 - €
111,000
The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements.
Equity
This role is eligible to participate in Cloudflare’s equity plan.
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: San Francisco, CA | New York City, NY
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
Anthropic's RL Data Platform team builds the systems that produce, move, and serve the human data Claude learns from: the interfaces humans use to give feedback, the pipelines that turn raw feedback into training signal, and the tooling researchers use to launch, monitor, and inspect data collection. Every RL run depends on a steady supply of high-quality data - human feedback, expert demonstrations, graded transcripts - and when a researcher has an idea for new data on Monday, our job is to make it collectable by Wednesday and in the training mix by Friday.
This is a full-stack, ownership-heavy role on a small, senior team. You'll design and ship web interfaces used by thousands of expert annotators, build the backend services and data pipelines behind them, and work directly with RL researchers to understand what data they need and why. You'll scope your own projects, make architectural calls, and see them through to production. We're looking for engineers who treat researchers as their users, build for reliability first, and care as much about the shape of the data leaving the system as the UI going into it.
Key responsibilities
Design, build, and operate the feedback and data collection interfaces used by human annotators, domain experts, and internal researchers.
Build and maintain the backend services, APIs, and pipelines that route model samples to humans and return structured feedback to training.
Own the reliability, latency, and usability of systems that run continuously against live model endpoints.
Partner with RL researchers to translate loosely specified data needs into well-scoped collection campaigns and the tooling to run them.
Build dashboards, monitoring, and inspection tools so researchers can see data quality and throughput without asking an engineer.
Identify and remove the bottlenecks between "we want this data" and "it's in the training mix".
Minimum qualifications
Strong full-stack engineering skills, with production experience in TypeScript/React on the frontend and Python on the backend.
Experience designing and operating backend services and data pipelines that other teams depend on.
A track record of owning projects end-to-end, from an ambiguous brief to something in production that people use.
Comfort working directly with technical stakeholders whose needs change week to week, and the judgment to push back when something isn't worth building.
Effective use of AI tools in your own day-to-day work.
Care about the societal impacts of your work.
Preferred qualifications
Experience building annotation, labelling, evaluation, or other human-in-the-loop data tooling.
Experience with RLHF, preference data, or other human-feedback pipelines for ML systems.
Experience shipping researcher-facing or other expert-facing internal tools people love: interviewing users, hunting down friction, measurably improving the experience.
Experience running experiments on data collection interfaces and using the results to improve data quality.
Experience working with crowdworker or expert vendor platforms at scale.
Familiarity with how LLMs are trained and evaluated.
Representative projects
Build an interface that lets a domain expert review a long agentic transcript, flag the step where things went wrong, and write a corrected continuation - with the result landing in a training-ready format.
Rework the sampling path between our feedback interfaces and model endpoints to cut time-to-first-sample for annotators.
Build a campaign launcher that lets a researcher stand up a new data collection effort (task, rubric, population, quality checks) without writing code.
Instrument annotator behaviour to detect low-effort or adversarial work and surface it to the quality team automatically.
Design the data model for a kind of feedback we haven't collected before, and ship the pipeline that gets it into the training mix.
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:
$500,000
—
$850,000 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.
ОфисLondon & San Francisco; Relocation support and visa fees (if applicable)
ОфисLondon & San Francisco; Relocation support and visa fees (if applicable)
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Documentation: Produce runbooks for every automation, ensuring that no operational capability lives only in one person's head or on a local machine
ОфисLondon & San Francisco; Relocation support and visa fees (if applicable)
Tokyo, Japan; Hands-on Salesforce experience (reporting, data maintenance), and comfort being the only operations person in the region while working with a team many time zones away
УдалённоseniorMalaysia; Philippines; Indonesia
San Francisco; London
San Francisco; London
San Francisco; Seattle; New York City; Toronto
Elmira, NY
География найма не уточнена
География найма не уточнена
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География найма не уточнена
United States; Operates within a global environment requiring coordination across multiple time zones