Location: Remote, Canada; Remote, US
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
Site Reliability Engineers keep GitLab's user-facing services and production systems running reliably at scale. They combine software engineering with operational excellence, applying sound engineering principles, automation, and continuous improvement to build, operate, and evolve our production infrastructure.
This is a single application for Site Reliability Engineering opportunities across Infrastructure Platforms. Rather than asking you to choose the right team or level upfront, we evaluate your skills holistically and match you to the opportunity that best aligns with your experience and our hiring needs. We hire Site Reliability Engineers from Intermediate through Senior Staff across multiple Infrastructure Platforms teams.
We don't expect every candidate to have experience with every technology in our environment. We're looking for engineers with strong technical fundamentals, a growth mindset, and the ability to learn quickly. We'll support you in becoming successful with GitLab's tools, systems, and ways of working.
Please note: This position is open to candidates based in the United States and Canada only. Candidates based in the United Kingdom can apply to this posting:
Site Reliability Engineer, Infrastructure Platforms — UK (Intermediate to Senior Staff)
How our SRE hiring works
Because this is a single application for SRE roles across Infrastructure Platforms, our process is built to evaluate you once and match you well, rather than interviewing separately for every team.
Recruiter Screen:
A conversation about your background, what you're looking for, and the level and teams that fit, so we can point your process in the right direction.
Core Technical:
The shared assessment every SRE candidate takes, regardless of eventual team. A low-stress, collaborative discussion covering system architecture and incident review.
Hiring Manager Interview:
A conversation about ownership, judgment, execution, collaboration, and growth, the non-technical signals that make an SRE effective at GitLab.
Peer Technical:
Team-specific depth, run by SREs from the team you're most likely to join, focused on the problems that team actually works on.
Skip-Level Interview:
A conversation with a senior leader on values alignment, and how you'll work across teams.
After your interviews, we consider your performance alongside our current hiring needs to confirm the level and team where you'll do your best work. Interview results are a major factor, and final placement also reflects our active hiring priorities at the time.
We’ll calibrate your level throughout the interview process based on the scope and impact of your experience.
Intermediate: You independently deliver meaningful reliability improvements within a defined area.
Senior: You own complex reliability work end to end and raise the effectiveness of your team.
Staff: You shape reliability across multiple teams, solving systemic problems and creating approaches others can reuse.
Senior Staff: You set technical direction across a broader Infrastructure area and influence reliability strategy at organizational scale.
What you'll do
Keep user-facing services and production systems reliable, scalable, and efficient
Build automation and tooling that reduces toil and replaces manual work with repeatable, infrastructure-as-code-driven workflows
Operate and troubleshoot production systems on Kubernetes, including deployments, rollouts, and scaling
Write and maintain infrastructure as code, and ship changes safely through CI/CD and GitOps
Participate in on-call, triage alerts, follow and improve runbooks, and escalate appropriately
Contribute to the observability stack, using metrics, logs, and SLOs to detect symptoms early rather than just outages
Take part in incident response and post-incident reviews, turning learnings into changes in automation and process
Document runbooks, architecture decisions, and reviews so your findings become repeatable practices
What you'll bring
Experience keeping production systems reliable, combining an operations mindset with real software engineering practice
Experience building net-new infrastructure tooling and automation, not just configuring existing tools. For example, Terraform modules, Kubernetes operators or controllers, or production automation and services written from scratch
The ability to read, debug, and reason about code. Most of our teams work in Go; some work in Ruby. You can discuss a piece of code's behavior, performance, and failure modes
Experience with infrastructure as code, and with Kubernetes and its ecosystem, at a depth appropriate to your level
Hands-on experience with at least one major cloud provider (GCP or AWS)
Familiarity with observability practices, including metrics, logging, alerting, and SLOs or SLIs, and using data to inform operational decisions
Comfort participating in on-call and incident response, with a structured approach to troubleshooting under pressure
Strong written communication and the ability to operate as a manager-of-one in an async, distributed environment
A track record of using automation, and increasingly AI, to reduce toil and improve how you and your team work
Alignment with GitLab's values and a commitment to working in accordance with them
About the team
Infrastructure Platforms
is responsible for the availability, reliability, performance, and scalability of GitLab’s user-facing services, most notably
GitLab.com
. The organization spans teams across
Production Engineering
,
GitLab Dedicated
,
GitLab Delivery
, and
Developer Experience
, covering everything from the production fleet and networking platform to observability, incident response, deployment infrastructure, tenant scale, and our single-tenant Dedicated offering.
We are a globally distributed, remote-first organization that works asynchronously, favors automation over toil, and uses monitoring, metrics, and clear ownership to continuously improve the reliability of GitLab at scale. For more on how we work, see the
Infrastructure Handbook Page
.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$126,400
—
$314,400 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
УдалённоseniorПротиворечивые условия: Please note: This position is open to candidates based in the United States and Canada only; Candidates based in the United Kingdom can apply to this posting:; The base salary range for this role’s listed level is currently for residents of the United States only
Location: San Francisco, CA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Enforcement Analyst focused on Bio Harms, you will play a critical role in protecting against the misuse of AI systems for biological and related CBRNE harms. You will enforce our Usage Policy with a specific focus on detecting and mitigating bio risks, investigating potential violations, and help continuously strengthen our safeguards. The work sits at the intersection of biosecurity threat analysis and platform enforcement: you will read real model interactions and make fast, well-reasoned calls about whether activity is benign research or a credible attempt at harm.
This role is a fit for someone who understands the dual-use nature of biology and enabling technologies well enough to separate the benign from the malicious. You will own and continuously improve the enforcement monitoring workflows for the bio-harms area, and you will work closely with Policy, Threat Intelligence, Data Science, and Engineering cross-functional partners to accomplish tasks at scale. Safety is core to our mission, and your work will directly protect individuals, communities, and critical systems.
Important context for the role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including material of a sexual, violent, or psychologically disturbing nature. The role also carries a shared on-call responsibility across the Policy and Enforcement teams.
Key responsibilities
Enforce Usage Policies with a specific focus on detecting and mitigating potential bio risks and harmful use of AI systems.
Take ownership of enforcement monitoring workflows for the bio-harms area, improving end-to-end detection, investigation, triage, and escalation processes.
Monitor and analyze platform activity to identify emerging patterns related to biological (and adjacent chemical, radiological, nuclear, and explosive) threats that may require policy updates or enforcement action.
Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy across a technically complex content surface.
Conduct thorough investigations of potential violations, gathering and documenting evidence to support enforcement decisions.
Proactively surface trends and propose improvements to detection methods and review workflows.
Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for bio-related policy violations.
Partner with Policy and Threat Intelligence groups to understand potential exploits and contribute to risk-assessment frameworks, and partner with engineers iterating on safety systems.
Provide enforcement-grounded feedback on policy gaps, and handle escalations and time-sensitive situations related to potential bio-related Usage Policy violations.
Minimum qualifications
Hold a degree in a bio-related field (e.g., microbiology, molecular biology, biochemistry, public health) and/or relevant professional experience in a related field.
Possess experience in Trust & Safety, content moderation, or policy enforcement at platform scale, including working with generative AI tools to refine and optimize content review and enforcement workflows.
Possess experience in utilizing AI tools to develop data dashboards for metrics collection in support of continuous improvement efforts.
Can analyze complex, ambiguous situations and make well-reasoned, defensible decisions under time pressure.
Are proactive and self-directed: you spot trends, dig in, and ship improvements on your own initiative.
Communicate clearly in writing and can translate technical bio concepts for diverse audiences, including both technical and non-technical stakeholders.
Preferred qualifications
Subject matter expertise in biodefense, biosecurity, WMD/CBRNE non-proliferation, or threat-intelligence.
An understanding of where real-world biological risk actually lies — adversary intent, acquisition and weaponization pathways, and dual-use concerns, including familiarity with cross-platform threat analysis and open-source intelligence (OSINT) techniques relevant to weapons of mass destruction.
Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health.
Familiarity with dual-use research of concern (DURC), select agents, and relevant policy frameworks.
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:
$245,000
—
$285,000 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.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Enforcement Analyst focused on Chem & Explosives Harms, you will play a critical role in protecting against the misuse of AI systems for chemical and explosives harms. You will enforce our Usage Policy with a specific focus on detecting and mitigating these risks, investigating potential violations, and help continuously strengthen our safeguards. The work sits at the intersection of chemical and explosives threat analysis and platform enforcement: you will read real model interactions and make fast, well-reasoned calls about whether activity is benign research or a credible attempt at harm.
This role is a fit for someone who understands the dual-use nature of chemistry and explosives technologies well enough to separate the benign from the malicious — and who acts decisively under ambiguity. You will own and continuously improve the enforcement monitoring workflows for this harm area, and you will work closely with Policy, Threat Intelligence, Data Science, and Engineering matrix partners to accomplish tasks at scale. Safety is core to our mission, and your work will directly protect individuals, communities, and critical systems from AI-facilitated weapons harm.
Important context for the role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including material of a sexual, violent, or psychologically disturbing nature. The role also carries a shared on-call responsibility across the Policy and Enforcement teams.
Key responsibilities
Enforce Usage Policies with a specific focus on detecting and mitigating potential chemical and explosives risks and harmful use of AI systems.
Take ownership of enforcement monitoring workflows for the chemical and explosives harm area, improving end-to-end detection, investigation, triage, and escalation processes.
Monitor and analyze platform activity to identify emerging patterns related to chemical and explosives threats (within the broader CBRNE landscape) that may require policy updates or enforcement action.
Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy across a technically complex content surface.
Conduct thorough investigations of potential violations, gathering and documenting evidence to support enforcement decisions.
Proactively surface trends and propose improvements to detection methods and review workflows without waiting to be directed.
Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for policy violations.
Partner with Policy and Threat Intelligence teams to understand potential exploits and contribute to risk-assessment frameworks, and partner with engineers iterating on safety systems.
Provide enforcement-grounded feedback on policy gaps, and handle escalations and time-sensitive situations related to chemical and explosives policy violations.
Minimum qualifications
Hold a degree in a chemistry-related field (e.g., chemistry, chemical engineering, materials science) and/or relevant professional experience in a related field.
Possess experience in Trust & Safety, content moderation, or policy enforcement at platform scale, including working with generative AI tools to refine and optimize content review and enforcement workflows.
Possess experience in utilizing AI tools to develop data dashboards for metrics collection in support of continuous improvement efforts.
Can analyze complex, ambiguous situations and make well-reasoned, defensible decisions under time pressure.
Are proactive and self-directed: you spot trends, dig in, and ship improvements on your own initiative.
Communicate clearly in writing and can translate technical chemistry concepts for diverse audiences, including both technical and non-technical stakeholders.
Preferred qualifications
Subject matter expertise in chemical and explosives defense, security, WMD/CBRNE non-proliferation, or threat-intelligence.
An understanding of where real-world chemical and explosives risk actually lies — adversary intent, acquisition and weaponization pathways, and dual-use concerns, including familiarity with cross-platform threat analysis and open-source intelligence (OSINT) techniques relevant to weapons of mass destruction.
Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health.
Familiarity with the Chemical Weapons Convention (CWC), scheduled chemicals, precursor controls, and energetic-materials safety frameworks.
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:
$245,000
—
$285,000 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.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Enforcement Analyst, you will be responsible for reviewing content and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations. Your initial focus will center on reviewing flagged activity related to cyberattacks, malware development, and offensive exploitation; however, this position may later expand to include broader areas of enforcement.
Safety is core to our mission, and you'll help uphold policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.
Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, technical, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.
Key responsibilities
Review flagged content and accounts to make accurate, well-documented enforcement decisions in line with our usage policies
Detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations
Triage and escalate novel, ambiguous, or high-severity cases to appropriate stakeholders
Provide detailed feedback to the Safeguards policy design team on policy gaps surfaced through real enforcement scenarios
Partner with Engineering and Data Science teams by surfacing detection model errors and quality signals from review to improve precision and recall
Maintain high accuracy and consistency standards across review queues
Keep up to date with emerging AI policy enforcement best practices, threat actor tactics, and the evolving cyber threat landscape, using these to inform enforcement decisions
Minimum Qualifications
Experience in cybersecurity, including knowledge of offensive techniques, exploit development, malware analysis, or vulnerability research
Experience performing content review, abuse investigations, or policy enforcement at volume
Proficiency in SQL and/or Python for data analysis and threat detection
Experience identifying emerging risks and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams
Experience working with generative AI products, including writing effective prompts for content review and enforcement
Preferred qualifications
Experience in trust & safety, abuse investigations, cybersecurity investigations, or threat intelligence in a technology or AI company
Experience with large language models and an understanding of how AI technology could be misused for cyber operations
Experience operating within abuse monitoring programs or enforcement review systems
Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space
Experience working with government agencies, regulated environments, or information sharing communities
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:
$285,000
—
$330,000 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.
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: Ciudad de México, Mexico
Workplace: on-site
The Communications Manager is responsible for bringing the NovaFin brand to life across
all owned and earned channels. This role ensures that the company's brand, voice, and
messaging are executed consistently and effectively throughout the customer journey, from
initial awareness through customer advocacy.
Working closely with senior leadership and future brand leadership, the Communications
Manager will oversee content creation, social media, public relations, creative production,
and brand governance. This is a highly execution-focused role responsible for turning brand
strategy into high-quality, market-facing communications that strengthen customer trust,
engagement, and brand recognition.
Brand Execution & Governance
Ensure consistent application of NovaFin's brand identity, voice, tone, and messaging across all customer-facing communications.
Maintain and update brand guidelines and communication standards.
Serve as the primary guardian of brand consistency across marketing, customer communications, product messaging, and sales support materials.
Review and provide guidance on materials developed by internal teams and external partners to ensure alignment with brand standards.
Content & Owned Channels
Own and manage NovaFin's organic social media presence, including content planning, copy development, publishing, and community engagement.
Oversee the company's blog, content hub, and other owned communication channels.
Develop content that supports brand awareness, customer education, trust-building, and engagement.
Maintain a consistent content calendar and publishing cadence across channels.
Public Relations & External Communications
Develop and manage media relations and external communication initiatives.
Prepare press releases, media kits, corporate announcements, and executive communications.
Coordinate spokesperson preparation and support media opportunities.
Monitor media coverage and ensure brand messaging is accurately represented.
Creative Production Management
Develop creative briefs and manage the production of marketing and communication assets.
Coordinate internal designers, agencies, freelancers, and production partners to ensure projects are delivered on time and on brand.
Review and approve creative output to ensure quality and consistency.
Vendor & Agency Management
Manage relationships with creative agencies, freelancers, public relations firms, and external production vendors.
Oversee project timelines, budgets, deliverables, and quality standards.
Evaluate vendor performance and identify opportunities for improvement.
Community Engagement & Brand Advocacy
Manage community interactions across owned social platforms.
Monitor customer feedback and identify opportunities to strengthen brand perception.
Support initiatives that encourage customer advocacy and positive brand engagement.
Reporting & Performance Monitoring
Track and report on content, social media, public relations, and brand engagement performance.
Monitor brand sentiment, media coverage, engagement metrics, and share of voice.
Provide recommendations to improve communication effectiveness and audience engagement.
Qualifications
Bachelor's degree in Communications, Marketing, Public Relations, Journalism, Business Administration, or a related field.
5–8 years of experience in communications, content marketing, public relations, social media management, or brand communications.
Experience managing agencies, freelancers, and creative production workflows.
Experience within fintech, financial services, consumer lending, or technology environments is preferred.
Strong understanding of content development, public relations, social media management, and brand governance.
Knowledge & Skills
Exceptional written and verbal communication skills in English and Spanish.
Strong editorial judgment and storytelling capabilities.
Experience developing and managing content calendars and communication plans.
Strong project management and organizational skills.
Ability to manage multiple stakeholders and competing priorities.
Experience coordinating creative production across internal and external resources.
Strong attention to detail and commitment to brand consistency.
Ability to thrive in a fast-paced, high-growth environment.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are looking for a Staff Program Manager to own the Services Business Process Automation (BPA) function — the digital backbone of our Services organisation. BPA runs the Service Lifecycle Management (SLM) platform, the Business Intelligence and reporting layer, and the integration of our business applications with customer IT/OT ecosystems — all operating within the corporate IT governance framework.
This is a strategic, hands-on ownership role. You will define and own the BPA program and roadmap, lead cross-functional platform deployments end to end, and connect corporate digitalization strategy to on-the-ground Services execution. You will work closely with Services leadership, product and corporate IT, and external technology partners.
WHAT YOU’LL DO:
- Define, own, and continuously evolve the BPA roadmap: SLM platform strategy, BI architecture, process-automation priorities, and customer IT/OT integration.
- Translate corporate digitalization objectives and Services business priorities into a structured, time-phased program with clear milestones and resource plans.
- Lead cross-functional software deployments and platform integrations from requirement scouting to hypercare, applying Agile (Scrum/Kanban) and structured PMO practices.
- Own the program-governance framework — risks, dependencies, change control, escalation, and steering-committee reporting — and track schedule, budget, adoption, data quality, and SLA impact.
- Champion the Services Lean First KPI framework and ensure BI reporting reflects real operational progress across the whole Services organisation.
- Manage vendor relationships, program budgets, and build-vs-buy-vs-integrate decisions for new BPA tools and platforms.
- Act as the strategic interface between Services leadership, product leadership, and corporate IT — simplifying complex technical realities into clear business narratives for executives.
WE’RE LOOKING FOR:
- 8–12+ years in digital/IT program management, with a track record of leading large-scale CRM, SLM, or ERP deployments.
- Proven success managing complex cross-functional programs in mechatronics, industrial automation, robotics, field service, or advanced manufacturing.
- PMP, PRINCE2, or equivalent program-management certification; Agile (SAFe, Scrum Master, or Kanban) is a strong plus.
- Solid understanding of CRM and SLM platforms, BI architectures, and enterprise integration patterns.
- Experience holding full budget accountability for digitalization programs.
- Elite stakeholder communication — able to build consensus across diverse functional and executive stakeholders.
NICE TO HAVE:
- Exposure to humanoid robotics, cobots, or other advanced-technology industries.
- Familiarity with service benchmarks in relevant industries.
- Experience introducing BI as a shared intelligence layer across a multi-team organisation.
- PMO tooling proficiency (MS Project, Jira, Smartsheet, or equivalent).
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: United States
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
JOB SUMMARY
As a Support Automation Engineer on the Post Sales Systems team, you will design, build, and maintain the automation and AI systems that power ClickUp's post-sales support organization. You'll be responsible for translating business workflows in Zendesk and related CX platforms into scalable, intelligent automations that reduce manual effort, improve customer experience, and free up our support team to focus on high-value interactions.
This role sits at the intersection of engineering rigor and customer empathy. You'll partner closely with the Support and Success organizations, GTM Systems Leadership, and cross-functional stakeholders to automate away toil, surface insights through AI, and build systems that adapt to how support teams actually work. The kind of person who thrives here moves fast, takes full ownership of what they build, and is genuinely excited about applying AI to real operational problems. This role is a direct contributor to GTMSOE's broader mission of operational excellence across the GTM org.
KEY RESPONSIBILITIES
AI-POWERED AUTOMATION DESIGN & DEVELOPMENT
- Design and build automations in Zendesk that reduce repetitive support work: ticket routing, field population, note summarization, escalation logic, and customer outreach workflows.
- Develop AI-driven workflows using Zendesk AI, custom LLM integrations, and ClickUp Super Agents to automate tasks like ticket summarization, sentiment analysis, knowledge base matching, and response suggestions.
- Architect low-code/no-code automation solutions using Workato, Zapier, and similar integration platforms to connect Zendesk with Salesforce, ClickUp, Maven chatbot, and other tools.
- Own the full lifecycle of an automation: discovery, design, build, testing, deployment, and ongoing optimization based on usage and feedback.
CX SYSTEMS INTEGRATION & DATA FLOW
- Ensure seamless data flow between Zendesk, Salesforce, ClickUp, Chili Piper, Maven AGI chatbot, and other tools in the support tech stack.
- Design integration patterns that keep data clean, up-to-date, and accessible to downstream systems without creating maintenance nightmares.
- Build and maintain reporting dashboards and data pipelines that surface support health, automation impact, and team productivity metrics.
- Partner with the Support org to identify pain points, bottlenecks, and opportunities where AI and automation can deliver measurable value.
AI CAPABILITY EXPANSION
- Experiment with emerging AI/LLM capabilities (agents, RAG, fine-tuning) and determine which are production-ready for support workflows.
- Build reusable AI templates and patterns that other CX Systems team members can leverage, promoting consistency and reducing duplication.
- Collaborate with the broader GTM Systems Engineering team to share learnings and align on AI strategy across post-sales, sales, and finance domains.
- Log AI/automation work in the team's AI Excellence registry to promote transparency and cross-team learning.
RELIABILITY & CONTINUOUS IMPROVEMENT
- Monitor automation health, error rates, and SLAs; proactively identify and resolve issues before they impact support operations.
- Gather feedback from support teams and stakeholders; iterate on existing automations to improve accuracy, reduce false positives, and adapt to evolving business needs.
- Maintain documentation and runbooks so that support and CX teams understand how automations work and when to escalate issues.
- Help simplify and modernize existing architecture in Zendesk and connecting systems to improve long-term maintainability.
CROSS-FUNCTIONAL COLLABORATION
- Work closely with GTM Support teammates and leadership on intake, prioritization, and task execution.
- Partner with the Support and Success organizations and key stakeholders to translate business requirements into technical specifications.
- Contribute to the GTM Systems Engineering operating model: maintain task hygiene and communicate proactively on large initiatives.
QUALIFICATIONS
EXPERIENCE
- 3–5+ years in systems administration, business systems engineering, or customer support platform work.
- Demonstrated experience building automations or integrations that have shipped to production and delivered measurable business value.
- Hands-on experience with CX platforms, particularly Zendesk at an admin level or higher.
- Experience in a high-velocity, collaborative environment where you wear multiple hats and adapt quickly.
- Optional but valued: experience with ClickUp, Maven/chatbots, GTM systems, or support-focused SaaS operations.
SKILLS & COMPETENCIES
Technical
- Zendesk expertise: Hands-on experience with automations, triggers, business rules, and configuration (admin-level proficiency or higher).
- Integration & API work: Comfortable with REST APIs, webhooks, and integration platforms (Retool, Workato, Zapier, or similar low-code tools).
- AI & LLMs: Familiarity with prompt engineering, LLM APIs (OpenAI, Claude, etc.), MCP, and how to safely integrate AI into production workflows. You don't need to be an ML engineer, but you should understand when and how to apply AI to solve real problems.
- Data & scripting: Comfortable working with JSON, SQL, or light scripting (Python, JavaScript) to build data pipelines and transform data between systems.
- Salesforce integration: Understanding of Zendesk-to-Salesforce sync workflows, object relationships, and common integration patterns.
Operational & Mindset
- Ownership: You take full responsibility for the systems you build—reliability, documentation, and continuous improvement included. You don't hand off and walk away.
- Velocity: You move fast, iterate, and ship. You embrace "done is better than perfect" when appropriate, but never at the expense of reliability or customer trust.
- AI & Automation mindset: You're excited about LLMs and AI agents, not intimidated. You experiment, learn quickly, and know when to apply new tools and when to stick with what works.
- Collaboration: You're a skilled communicator who can translate between technical and non-technical stakeholders. You ask clarifying questions, challenge assumptions respectfully, and build trust with the teams you support.
- Growth: You're customer-centric and measure success not just by automation coverage, but by the real impact on support efficiency and quality.
WHAT YOU'LL WORK WITH
- Zendesk: Primary CX platform—automations, triggers, custom fields, custom apps, and reporting.
- ClickUp Super Agents: AI-powered automation and task orchestration within the ClickUp ecosystem.
- Salesforce: Zendesk-to-Salesforce integration, data sync, field mapping, and cross-system workflows.
- Integration stack: Workato, Zapier, and possibly Retool for custom apps and workflow orchestration.
- Maven chatbot & AI tools: In-app support, ticket automation, and AI-driven customer interactions.
- Data & reporting: ClickUp, Salesforce dashboards, and custom data pipelines for support metrics and insights.
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
Location: Remote - United Kingdom
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next
Security Engineer, Incident Response
About the job
The Security Incident Response Team (SIRT) is looking for a Security Engineer who is passionate about solving Twilio’s mission of security and reliability by working across the organization to lead the technical response to security events and incidents across Twilio’s global infrastructure, services and applications by effectively conducting triage, containment, remediation and driving post-incident betterments. You will work within a team that partners with R&D Engineering and R&D Business teams to develop scalable processes and technical solutions.
You will be a valued member of a team of deeply technical Security Engineers to focus on creating bespoke and standard Security response processes, enhancing our capabilities for threat mitigation and incident response, and then automating as much as you possibly can (and more)! You will help us to grow our global, scaled team and program.
Responsibilities
In this role, you’ll:
Lead and support the response to all security events and incidents across Twilio’s complex global infrastructure, services and applications.
Be responsible for documentation of incidents and projects you work on and craft best practices as runbooks and standard operating procedures to share knowledge across teams.
Work cross-collaboratively to understand and help solve challenges related to a broad spectrum of threat actors and activity.
Work to improve Twilio’s security and reliability posture by driving identified betterments from security events and incidents.
Rapidly acquire new technical skills and knowledge in a fast-paced, highly disruptive industry environment.
Own the security incident lifecycle, respond to incidents and participate in on-call rotation and participate in RCAs for security incidents.
Build, cultivate, and maintain positive relationships with internal customers to identify and facilitate solutions to increase the impact of the team’s work.
Provide mentorship, support, and care for the team in a way that enables long-term career development, happiness, and success at scale.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:
Proven experience: 3+ years of security incident response in a production-cloud environment
Subject-matter expert on security issues and technologies
Ability to utilize AI for comprehensive, complex security incident response activities delivering high fidelity detections
Advanced knowledge of service-oriented architectures, as well as experience with security tools and technologies fit for a cloud environment
Experience working across a technology stack on difficult security challenges and initiatives
Experience with SIEM platforms and the ability to extend their functionality
Experience with SOAR tools and automating manual security processes
Experience in either AWS, GCP, or other large cloud platform
Excellent written and verbal communication skills
Ability to influence and build effective working relationships with every level of the organization.
Desired:
AI Model Security & Posture Management: Support Implementation of controls and safeguards to prevent AI vulnerabilities, such as prompt injections, model evasion, and data poisoning
AI-Driven Threat Response: Utilize GenAI and LLM-based security use cases to rapidly interpret alerts, reduce false positives, and contextualize threat data
Artifact & Evidence Triage: Collects intrusion artifacts and forensically sound images to analyze malware, trojans, and source code.
Threat Intelligence Integration: Monitors external vendor data and threat intelligence to analyze trends and proactively defend against emerging risks.
Location
This role will be remote, and based in Ireland or U.K.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
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Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: Remote (United States | Canada)
Workplace: Remote
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
With over 180,000 business customers, Enterprise Password Manager is 1Password's core product. It is rapidly evolving into a complete credentials security platform for humans, machines, and AI agents.
This is a Senior Staff PMM role. Individual contributor with broad organizational visibility. You’ll report to the Director of Product Marketing and own EPM end-to-end: messaging, positioning, competitive strategy, and launch execution.
You will shape how the market understands credentials security as 1Password grows.
How we’re using AI today
On the Marketing team, we’re growing our AI capability together and redesigning how work gets done. We’ve built agents to improve workflows focused on competitive intelligence, content creation, and campaign planning, helping us stay sharp, reduce context-switching, and surface the right information at the right time. AI helps us coordinate, execute, and uncover insights faster so we can spend more time on what’s most important: performance, judgement, and driving the future of 1Password.
This is a remote opportunity within Canada and the US.
What we're looking for:
Experience and Domain Expertise
- 7+ years of B2B SaaS product marketing, with direct experience in password management, enterprise vaulting, credentials security, or identity security.
- Working knowledge of broad cybersecurity concepts.
- You've repositioned a mature enterprise product. You know the difference between a messaging refresh and actually shifting how the market thinks about something.
- You can market to enterprise IT and security buyers: the admin managing rollout, the CISO approving the spend, and the security engineer evaluating the technical depth.
- A track record of winning in competitive markets by displacing incumbents, not just differentiating in an open field.
Technical Depth
- You understand how credentials work beyond passwords: API keys, certificates, machine secrets, passkeys, and what it takes to issue credentials to AI agents.
- Working knowledge of enterprise IT: MDM, SSO, directory services, and where password management fits in the IAM stack.
AI-Forward, Not AI-Dependent
- You use AI to go faster, not to think less. You know what to hand off and what to own, and you can tell good output from output that still needs work.
- You want AI to free up time for the work only a good product marketer can do: strategy, judgment, and narrative.
- You own the ideas you bring. Walk into a room with a recommendation and you can defend it. Candidates who produce content but can’t explain the thinking behind it won’t fit here.
Strategic Storytelling and Senior-Level Communication
- You write for multiple audiences without diluting the message. An IT admin and a CISO aren't reading the same document for the same reason. You know how to serve both.
- Strong narrative instincts: open with the problem, build to the solution, and land in a way that makes the reader feel the product was built for their situation.
- You’ve shaped category narratives, not just contributed to them.
Bonus points for:
- Security certifications (CISSP, Security+, or similar).
- Experience developing thought leadership in a fast-moving category. 1Password has a team that produces content. This role provides the point of view.
- You've repositioned an established product category. There's a real difference between entering a space and redefining it.
What you can expect:
Own EPM Product Marketing
- Own messaging, positioning, and launch strategy for the Enterprise Password Manager.
- Define how 1Password talks about credentials security for employees, service accounts, and AI agents.
- Tell the story clearly to analysts, IT buyers, security leaders, and sellers. The narrative has to work for practitioners and executives.
- Connect EPM’s story to the Unified Access platform narrative.
Build Competitive Intelligence and Category Positioning
- Own positioning and market leadership claims for EPM.
- Partner with Solutions Marketing on competitive differentiation. Know the competitive set cold: where they’re strong, where they’re not, and how to win against each.
- Track where the credentials security market is moving and keep 1Password’s messaging ahead of it.
Enable the Field with Tools That Actually Get Used
- Produce discovery decks, battlecards, objection-handling guides, and technical briefs that sellers and SEs reach for because they work.
- Take complex concepts like passkeys, machine credential lifecycle, AI agent authentication, and zero-knowledge architecture and make them usable in a customer conversation.
- Surface win/loss signals from the field and turn them into repeatable GTM motions, not one-off documents.
Influence EPM Product Strategy
- Bring the market's perspective to Product: customer evidence, analyst intelligence, competitive signals, field feedback.
- Make the market case early, before decisions are locked.
Why join us:
- The credentials security market is being reshaped by machine identities and AI agents. You'll own how 1Password tells that story.
- You'll work across product strategy, competitive positioning, and field execution. The work is visible at the executive level.
- 1Password is remote-first and has been since day one. We hire for judgment, not proximity.
- The company is growing and there's room to shape how PMM works here, not just execute what's already been defined.
USA-based roles only: The annual base salary for this role is between $180,000 USD and $261,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Canada-based roles only: The annual base salary for this role is between $152,000 CAD and $220,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process.
Our approach to remote work
We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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 Application Security team secures the systems that build, serve, and increasingly
are
Claude — and as Anthropic's footprint grows, that mandate now extends to companies and codebases we bring in from outside. This role establishes that function.
You'll own security due diligence and secure integration for Anthropic's acquisitions — assessing a target's security posture pre-close, writing the security risk readout for leadership, and after close, bringing acquired systems up to Anthropic's bar. Security has been part of every deal to date, but this is the first dedicated role for it: you'll formalize the playbook, the risk model, and the tooling, and make them repeatable.
This is an AppSec role first. You'll be an active member of the Application Security team — same rituals, same on-run rotation, same tooling, working alongside engineers securing Anthropic's own agentic product surfaces. The expectation is the same too: we use Claude as our primary tool, and you're expected to automate the repeatable parts of diligence and integration as you go, so each acquisition is easier than the last. When deal flow is quiet, you'll pick up core AppSec project work; when it's active, M&A is your priority.
We're upfront that the center of gravity here is M&A rather than core product security. It's burstier, more assessment-heavy, and operates on confidential, time-sensitive work. If you like parachuting into an unfamiliar codebase under time pressure and turning it into a clear risk picture for leadership, this is that job.
Key responsibilities
Lead pre-close security due diligence on prospective acquisitions — coordinate external penetration testing, threat-model the target's architecture, assess security controls, and deliver the security risk readout for leadership ahead of close and integration planning
Drive post-close security integration — stand up static and dynamic analysis coverage on acquired codebases, track high- and critical-severity remediation to closure, fold acquired assets into bug bounty scope, and onboard repositories to Anthropic's automated vulnerability remediation and reporting systems
Coordinate adjacent security engineering teams (supply chain, cloud, corporate security, detection & response) on their portions of each integration
Work across a wide set of stakeholders on every deal — corporate development, legal, security leadership, and the engineering teams inheriting acquired systems internally; engineering and security counterparts at the target company externally — translating between them and keeping the security workstream legible to all of them
Formalize and scale Anthropic's M&A security playbook — risk-scoring model, diligence runbook, integration checklist — and turn as much of it as possible into Claude-powered tooling rather than manual process
Share the team's operational on-run rotation (bug bounty escalations, launch consults, incident response), swapping out during periods of active deal work
Contribute to core AppSec projects between deals — secure design reviews, threat modeling for agentic systems, and the team's security automation roadmap
Minimum qualifications
Hands-on application and infrastructure security experience, including cloud and containerized environments
Demonstrated ability to rapidly assess an unfamiliar codebase or architecture and produce a clear, prioritized risk assessment for a non-security audience
Production-quality coding ability in at least one of Python, Go, Rust, or TypeScript
Practical threat-modeling and vulnerability-identification skills — you've found and reasoned about real bugs in real systems
Comfort operating with high autonomy, ambiguity, and tightly-held confidential context
Clear written and verbal communication across varied audiences — executives, legal and corporate development partners, and engineering counterparts at an acquired company
Preferred qualifications
7+ years in application security, security consulting, or security architecture
Prior M&A security due diligence, third-party security assessment, or technical due diligence experience
Experience standing up or scaling SAST/DAST, bug bounty, or vulnerability management coverage across multiple codebases
Track record of building security automation or tooling rather than relying solely on manual review
Familiarity with using LLMs as a core part of your security workflow
Experience securing agentic, code-execution, or LLM-integrated systems
Representative projects
Point Anthropic's internal LLM-driven code analysis and AI-assisted scanning at an acquired repository nobody here has seen, and turn the output into a prioritized remediation plan in days rather than weeks
Design the risk-scoring framework Anthropic uses to compare security posture across acquisitions of different shapes and sizes
Build the automation that onboards an acquired codebase to Anthropic's vulnerability dashboard, dependency auto-patching, and bounty scope without a human running a checklist
Write the security risk memo for a live deal and present it to corporate development and security leadership
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:
$320,000
—
$485,000 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.
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: United States; Canada (BC & ON only)
Workplace: Remote
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.
We're looking for a Staff Product Manager, AI to own the agents and the platform they run on inside Source, a new product where modern marketing teams and their AI agents build, optimize, and scale digital experiences together. Source connects a company's codebase and marketing stack into one governed workspace.
Your area spans the experience of working alongside those agents, the platform underneath (the framework, sessions, memory, and evals), how agents reach Source from outside it through MCP and the CLI, and the durable context every agent works from.
That means serving two groups at once. The developers who connect and extend the system, and the marketing teams doing the ongoing work of building brand and driving growth inside it. Both now work alongside agents, and neither will hand over real responsibility to something they can't trust. Much of what "good" looks like here hasn't been written yet, and you'll define it.
ABOUT THE ROLE:
- Location: Remote-first (United States; BC & ON, Canada)
- Full-time
- Permanent
- Exempt
- The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills.
- United States (all figures cited below are in USD and pertain to workers in the United States)
- Zone A: $212,500 - $255,000
- Zone B: $200,00 - $240,000
- Zone C: $186,700 - $224,000
- Canada (figures cited below are in CAD and pertain to workers in ON & BC, Canada
- 232,000 - 278,000
This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals.
Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
- Application Information:
- Application deadline: applications accepted on an ongoing basis until position is closed and filled
- This posting is for a new position
- Reporting to the Director of Product
As a Staff Product Manager, AI, you'll…
- Own the vision, strategy, and roadmap for the agent platform underneath Source: the agent framework and service, agent sessions, shared context and memory, the core orchestrator, and the experience of steering agents while they work. You'll set the direction and drive it through to delivery with Engineering, Design, and Data.
- Ensure agents are capable, and safe to hand real responsibility to. Agents should disclose what they can do and where they came from, run with limited permissions, and land their work as a reviewable change rather than a silent merge. You'll define how autonomy expands as trust builds, along with the audit trail and cost visibility that make it defensible.
- Set the standard for what "good" means when products never behave the same way twice. Define the quality bar for agent experiences, and the eval infrastructure, harnesses, guardrails, and metrics that hold the whole area to it.
- Build the primitives once that every Source workstream ships on. Teams across Webflow are building specialized agents on your platform, from site building and content to optimization and marketing. Sequence the work so the pieces reinforce each other rather than solving the same problem three times.
- Make Source reachable from wherever the work happens. Own the MCP and CLI interfaces so outside agents and scripts get the same capabilities as embedded agents, under the same disclosure and permission model.
- Centralize the context agents build from. Agent Instructions give a project durable, governed steering, so every agent works from the same brand, structure, and business context instead of rediscovering it session by session. You'll decide how that concept evolves inside Source.
- Drive alignment across Webflow, not just your own teams. Represent the agent area to leadership and to the other Source workstreams, partner closely with the team building deterministic and long-running agent workflows, and navigate cross-functional disagreement independently and constructively.
- Roll up your sleeves and build. Product Managers at Webflow deliver value any way they can, up to and including contributing to the product directly in code. You'll prototype ideas, ship improvements yourself where it helps, and stay close enough to the implementation to make sharp product calls.
- Place durable, multi-quarter bets as the AI landscape shifts. Models, protocols, and techniques are evolving fast; you'll stay close to customers, tell real standards from fads, and keep raising the bar on how fast and how well we ship.
ABOUT YOU:
Requirements:
- BS / BA college degree or relevant experience
You'll thrive as a Staff Product Manager, AI, if you:
- Have 8+ years of product management experience, with deep expertise in AI-powered systems and a track record of owning strategy for large, ambiguous product areas. Experience with platforms, APIs, and extensibility.
- Know where LLM-based tools shine and where they break down, from substantial hands-on work with agent systems, code generation, or programmable interfaces.
- Have set the bar for "good" on non-deterministic products, defining the evals, guardrails, and success metrics that keep quality high when outputs vary from run to run, and getting a team to hold to them.
- Have built platforms other product teams ship on. You've treated other teams as your customers, drawn the line between what to build once and what to leave to them, and can point to primitives that outlived the first thing built on top of them.
- Can serve two audiences at once. You've built developer-grade tools and approachable products for marketers, and hold both in view without shortchanging either.
- Enjoy the full craft of building software. You're curious about every part of how products get made and like getting into the details wherever the work needs you, whether that's opening a pull request, leading a user interview, prototyping an idea, writing a query to pin down a metric, or writing a sharp brief.
- Lead through influence rather than authority. You set strategy and bring Engineering, Design, GTM, and leadership along, holding your own with senior stakeholders and moving decisions forward without waiting to be told. You set patterns other teams adopt and mentor as the practice grows.
- Stay curious. building fluency in emerging AI to speed up both your own work and your team's.
OUR CORE BEHAVIORS
- Build lasting customer trust. We build trust by taking action that puts customer trust first.
- Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
- Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
- Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.
BENEFITS
- Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
- Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
- Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
- Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
- Wellness for the whole you. Access to mental health resources, therapy and coaching.
- Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally.
- Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts.
- Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.
Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.
BE YOU, WITH US
At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.
STAY CONNECTED
Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.
PLEASE NOTE:
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered.
To join Webflow, you'll need a valid right to work authorization depending on the country of employment.
If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.
Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device tracks key physiological metrics such as heart rate variability, resting heart rate, and sleep quality to provide personalized insights into users' fitness, health, and recovery.
As a Backend Software Engineer II, you will build on WHOOP’s generative AI capabilities to develop and maintain exciting, member-facing features that drive meaningful health outcomes. You will play a vital role in delivering personalized insights across WHOOP and work alongside experienced engineers, designers, and product managers to help members better understand their health, optimize performance, and gain clarity throughout their WHOOP journey.
RESPONSIBILITIES:
- Collaborate with cross-functional team including Product, Design, Analytics, and Data Science to gather technical requirements and deliver impactful infrastructure and tools
- Leverage Java, Kafka, AWS, and PostgreSQL to deliver scalable and reliable software solutions and features
- Consistently deliver high-quality code, adhering to best practices in software design and development
- Develop and maintain observability and monitoring systems to ensure the stability and reliability of deployed features
QUALIFICATIONS:
- 2-4 years of backend software development experience, ideally in languages like Java
- Familiarity with asynchronous processing systems (Kafka, SQS)
- Experience in backend development, working on large-scale software systems and RESTful API design
- Experience in relational database design and development (PostgreSQL)
- Experience with scalable system design and performance optimization
- Strong independent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment
- Excellent communication skills and a commitment to delivering high-quality work
- A proactive, collaborative team player, eager to take on new challenges, continuously learn, and adapt in a fast-paced, data-informed environment
Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $125,000- $175,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: Boston, MA
Workplace: OnSite
WHOOP is an advanced health and fitness wearable on a mission to unlock human performance and extend healthspan. By providing members with a deep understanding of their bodies, behaviors, and daily lives, WHOOP empowers healthier choices and peak performance.
We are seeking a Senior AI Researcher to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP’s next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior.
In this role, you’ll serve as a senior individual contributor driving the research, development, and deployment of large-scale multimodal models. You’ll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members.
RESPONSIBILITIES:
- Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data.
- Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities.
- Develop scalable, distributed training pipelines for large models on high-performance compute environments.
- Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability.
- Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value.
- Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP.
- Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI.
QUALIFICATIONS:
- Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience.
- 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems.
- Expertise in modern deep learning (e.g., transformers, state space models), multimodal model training.
- Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
- Familiarity with training models on mulit-node, multi-gpu distributed compute environments.
- Familiarity with best practices for data, model, and context parallelisms.
- Strong applied experience with representation learning, self-supervised methods, and post-training for downstream applications.
- Experience with reinforcement learning for post-training foundation models (PPO, DPO, GRPO etc.).
- Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute.
- Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams.
- Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $190,000 - $230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: UK: London (7 Devonshire Square); UK: Remote Worker
Workplace: Hybrid
THE ROLE
You will collaborate with peers across Xero to create and deliver software to our customers. By modelling engineering excellence, you will support your team to grow their technical capability, improve development practices, and tackle open-ended architectural challenges.
Your work will directly shape the technical direction of the product group, breaking down silos and driving multi-year product or platform goals. Through data-driven decisions and smart simplification of complex systems, you will help solve customer problems effectively and release value early.
THE TEAM
This cross-functional engineering team focuses on building and managing software that solves complex problems at scale. Working in a collaborative and safe environment, team members coordinate closely to align technical designs with broader architectural standards. Together, they foster a culture of ownership, experimentation, and feedback to deliver high-quality outcomes.
THE TEAM IS CURRENTLY WORKING ON
The Syft UK pod is working on high-impact reporting and insights engineering across Xero. Current work includes Budgets API and Reporting integration, the Benchmarking rebuild, and resilience improvements to the Syft-X API as demand grows from both customer-facing experiences and internal consumers.
As a Lead Engineer, you’ll be a hands-on technical leader: setting direction, supporting engineers to deliver well, and improving how the team works across design, delivery, deployment and support. You’ll help us build smaller, safer changes, strengthen operational visibility, and reduce dependency on a small number of people for critical knowledge and production work
WHERE AND HOW YOU CAN WORK
This role offers a remote working environment designed to support collaboration and balance. If you prefer you can work hybrid from one of our modern office spaces, designated in-office boost days to connect with other teams in person.
HERE ARE SOME OF THE THINGS WE ARE LOOKING FOR
- You bring expertise in designing secure, scalable distributed systems and managing software at scale with proficiency in our core tech stack, Node js, AWS.
- A background in coaching and mentoring engineers, helping them grow their technical capabilities, is essential.
- You possess strong communication skills, with the ability to navigate complex technical ideas and build alignment.
- Your growth mindset drives a passion for continuous learning, experimentation, and sharing technical knowledge.
- An ability to lead incident responses, resolve failure patterns, and guide quality testing strategies will be highly valued.
- You offer a collaborative approach to problem-solving, welcoming diverse perspectives and encouraging a healthy team culture.
Apply even if your experience isn't a perfect match!
At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Location: Americas Remote
Hi, I'm Manu, Engineering Manager at
Customer.io
. We're looking for experienced backend engineers who want to build and own the infrastructure that powers one of the most data-intensive platforms in marketing automation — systems that process millions of events per second, orchestrate complex workflows at scale, and keep everything running reliably for thousands of customers worldwide.
You'll work on the Platform team, tackling hard distributed systems problems: designing for fault tolerance, scaling services under real production pressure, and building the foundational layers that every other team at
Customer.io
depends on. This isn't just maintenance work — you'll shape the architecture of systems that need to be both highly available and constantly evolving.
If you're someone who gets energized by the intersection of scale, reliability, and developer experience — and wants ownership over infrastructure that truly matters — we'd love to talk.
What you'll bring:
Deep experience with distributed systems and large-scale backend architecture
Strong instincts around reliability, observability, and fault tolerance
Comfort reasoning about performance, capacity, and trade-offs at scale
Experience with event-driven systems, message queues, or data pipelines is a plus
A collaborative mindset — you raise the team around you
About
Customer.io
Over 9,000 companies - from scrappy startups to global brands - use our platform to send billions of emails, push notifications, in-app messages, and SMS every day.
Customer.io
powers automated communication that people actually want to receive.
We help teams send smarter, more relevant messages using real-time behavioral data. Under the hood: Go, React, Ember and AI help us ship fast and scale with confidence.
What We Value
Ownership
You drive technical direction across systems and teams. You move with urgency, build with empathy, and think long-term. You’ve led large-scale infrastructure initiatives and know what it takes to get them over the line.
Engineers with customer focus
You think about how infrastructure unlocks customer value. You care about developer experience, system design, and how your work shapes the customer experience.
A healthy disregard for “the way things are done”
You bring rigor and creativity. Best practices matter, but never more than forward motion.
What You’ll Do
Design and evolve distributed systems in Go to handle billions of daily events and messages and store and index petabytes of data
Lead architectural decisions around performance, reliability, and real-time event processing
Improve service-to-service communication through better APIs, messaging systems, and event-driven patterns
Work across teams to uncover bottlenecks and system issues, and lead initiatives to resolve them for a smoother customer experience
Tackle high-throughput challenges across data pipelines, queues, and scheduling infrastructure
Able to debug production systems at scale using effective instrumentation, and resolve issues quickly and confidently
Participate in an on-call rotation as required, supporting the reliability of the systems you build
Share knowledge and raise the bar through sharing your progress publicly with short videos, thoughtful writing, and mentorship
Leverage AI tools to prototype, move faster, and make better decisions
What we're looking for
Significant experience (typically 10+ years) building scalable, distributed systems in Go (or similar statically typed languages)
Deep experience with databases - relational (MySQL, Postgres) and non-relational (DynamoDB, BigTable) - and how to make them fast
Comfort working in cloud-native environments (AWS, GCP)
Familiarity with APIs, observability, and operating production systems
A bias for action over perfection, and pride in owning technical decisions
Compensation & Benefits
We believe in transparency. Starting salary for this role is $150,000 - $200,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build.
We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.
See full benefits here →
Our Process
No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.
Application - We review everyone with care. Tell us why you're interested.
Recruiter Call (30 mins) - Let’s chat about what you’re looking for and how we work.
Hiring Manager Interview (60 mins) - Talk with one of our hiring managers about your working style and a project you've owned end-to-end, plus a short AI-assisted coding exercise.
System Design Interview (60 mins) - A collaborative system design conversation focused on scaling challenges.
Coding Interview (60 mins) - Pair with one of our engineers for an agentic live coding interview.
All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.
Customer.io
recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.
Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official
Customer.io
letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact
jobs@customer.io
.
Join us!
We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read and want to build software that makes communication better for everyone—apply now.
Location: Americas Remote
About
Customer.io
Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day.
Customer.io
powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.
About the role
Hi, my name is Nick Guardino, Senior Director of Marketing Ops at
Customer.io
, and I'm looking for a GTM AI Engineer to help take our AI agents from scrappy prototypes to production-grade systems our GTM teams can depend on.
Over the last 3.5 months, our GTM AI team has built 11 agents now running in production, serving 120 active users and roughly 25,000 tool calls a day — all through custom CLIs that work, but weren't built to scale. We believe businesses can run leaner and go further when they deploy AI agents well, and we're figuring out that motion in real time. This role owns the scale and reliability layer so the rest of the team can keep building.
What we value
Craft over quick wins
— energized by making things robust, not just making them work.
A point of view
— we want someone who asks "why did you build it that way?" and has a specific answer for what to do instead.
Comfortable being wrong
— you try things fast, and you course-correct just as fast.
AI-native by default
— you'd rather direct Claude to write and QA code than write it by hand.
What you'll do
Alpha-to-production ownership
— take newly built agents from working v1 to production-ready: write evals, harden prompts and tool definitions, and refactor prototype scaffolding into clean, production-quality code.
Observability & stability
— instrument tracing, logging, and monitoring across the agent fleet so we catch regressions before our 120+ GTM users do.
Deployment & infrastructure
— stand up and maintain the pipelines that get agents into users' hands without surprises, owning environment parity and release hygiene on our GCP stack.
Database administration
— own how agents read from and write to our databases, safely and at scale.
Fleet maintenance
— monitor agent behavior in production, triage issues, and ship the steady stream of improvements that make an agent indispensable rather than just useful.
Partner closely with the GTM AI team
— free up our agent builders to stay in their zero-to-one wheelhouse while you own scale and reliability.
Bring an outside point of view
— tell us what we built wrong, and back it up with a plan to fix it.
What we're looking for
4+ years in software engineering, platform/infrastructure engineering, or a similarly technical role, ideally at a B2B SaaS company.
Comfort working in the terminal daily, with a real GitHub PR-and-deploy workflow.
Cloud hosting experience — Kubernetes, VMs, or equivalent; Google Cloud experience strongly preferred.
Experience with how agents interact with and edit databases, including some hands-on database administration.
Familiarity with LLM-based application development: prompt engineering, tool/function calling, evals, and modern agent frameworks.
Ability to prompt AI tools correctly, review their output critically, and direct them to QA their own work — this is an AI-native role, not a hand-coding one.
Scrappy enough to iterate fast, disciplined enough to think about consistency once something needs to scale.
A point of view, and the willingness to ask "why did you build it that way?"
Compensation & Benefits
We believe in transparency. Starting salary for this role is
$140,000–$170,000 USD
(or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build.
We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including
100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family
. We also offer
16 weeks paid parental leave, unlimited PTO
, stipends for remote work and wellness, a professional development budget, and more.
See full benefits here →
Our Process
No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.
30-minute Zoom call with Recruiter
45-minute Zoom call with Hiring Manager
45-minute Zoom call with a member of the GTM AI team
60-minute Live technical session with the team
All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.
Customer.io
recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.
Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official
Customer.io
letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact
jobs@customer.io
.
Join us!
Check out our
careers page
for more information about why you should
come work with us!
We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.
Location: Paris; London
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
As Talent Acquisition Lead on the People team, you will define and execute Mistral’s hiring strategy while leading and developing a high-performing recruiting team. This role combines hands-on recruiting for critical positions with strategic leadership to ensure our hiring processes are efficient, effective, and aligned with Mistral’s mission. You’ll work closely with cross-functional leaders to build a diverse, skilled workforce that drives our growth and reinforces our reputation as a top employer in the competitive talent market.
WHAT YOU’LL DO
- Collaborate with tech and business leaders to understand hiring needs and deliver top-tier talent for key roles.
- Elevate the candidate experience, ensuring it is engaging, transparent, and reflective of Mistral’s culture.
- Guide candidates through the recruitment journey, introducing them to our mission, values, and work environment.
- Develop and share recruiting best practices to ensure consistency, scalability, and efficiency across the team.
- Leverage data analytics to identify bottlenecks, measure success, and drive continuous improvement in hiring processes.
- Mentor and coach recruiters, fostering their growth and enabling them to excel in their roles.
- Innovate and optimize by recommending and implementing improvements to tools, workflows, and strategies.
- Champion Mistral’s employer brand, representing the company externally to attract and retain top talent.
WHAT WE’RE LOOKING FOR
- Extensive experience: 8+ years in corporate recruiting, with a focus on competitive markets.
- Leadership: Proven ability to lead, develop, and inspire recruiting teams.
- Communication: Exceptional written and verbal skills to engage stakeholders at all levels.
- Operational excellence: Experience managing projects and people with discipline, precision, and a results-driven mindset.
- Strategic agility: Ability to balance high-level strategy with hands-on execution.
- Influence: Skilled at driving alignment and collaboration across functions without direct authority.
- Adaptability: Quick learner who can master new topics and pivot in a fast-moving environment.
- Global perspective: Fluent in English with experience in international recruiting.
- Tool proficiency: Familiarity with Ashby, Modernloop, LinkedIn Recruiter, or similar tools.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Remote - Ireland
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next
Security Engineer, Incident Response
About the job
The Security Incident Response Team (SIRT) is looking for a Security Engineer who is passionate about solving Twilio’s mission of security and reliability by working across the organization to lead the technical response to security events and incidents across Twilio’s global infrastructure, services and applications by effectively conducting triage, containment, remediation and driving post-incident betterments. You will work within a team that partners with R&D Engineering and R&D Business teams to develop scalable processes and technical solutions.
You will be a valued member of a team of deeply technical Security Engineers to focus on creating bespoke and standard Security response processes, enhancing our capabilities for threat mitigation and incident response, and then automating as much as you possibly can (and more)! You will help us to grow our global, scaled team and program.
Responsibilities
In this role, you’ll:
Lead and support the response to all security events and incidents across Twilio’s complex global infrastructure, services and applications.
Be responsible for documentation of incidents and projects you work on and craft best practices as runbooks and standard operating procedures to share knowledge across teams.
Work cross-collaboratively to understand and help solve challenges related to a broad spectrum of threat actors and activity.
Work to improve Twilio’s security and reliability posture by driving identified betterments from security events and incidents.
Rapidly acquire new technical skills and knowledge in a fast-paced, highly disruptive industry environment.
Own the security incident lifecycle, respond to incidents and participate in on-call rotation and participate in RCAs for security incidents.
Build, cultivate, and maintain positive relationships with internal customers to identify and facilitate solutions to increase the impact of the team’s work.
Provide mentorship, support, and care for the team in a way that enables long-term career development, happiness, and success at scale.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:
Proven experience: 3+ years of security incident response in a production-cloud environment
Subject-matter expert on security issues and technologies
Ability to utilize AI for comprehensive, complex security incident response activities delivering high fidelity detections
Advanced knowledge of service-oriented architectures, as well as experience with security tools and technologies fit for a cloud environment
Experience working across a technology stack on difficult security challenges and initiatives
Experience with SIEM platforms and the ability to extend their functionality
Experience with SOAR tools and automating manual security processes
Experience in either AWS, GCP, or other large cloud platform
Excellent written and verbal communication skills
Ability to influence and build effective working relationships with every level of the organization.
Desired:
AI Model Security & Posture Management: Support Implementation of controls and safeguards to prevent AI vulnerabilities, such as prompt injections, model evasion, and data poisoning
AI-Driven Threat Response: Utilize GenAI and LLM-based security use cases to rapidly interpret alerts, reduce false positives, and contextualize threat data
Artifact & Evidence Triage: Collects intrusion artifacts and forensically sound images to analyze malware, trojans, and source code.
Threat Intelligence Integration: Monitors external vendor data and threat intelligence to analyze trends and proactively defend against emerging risks.
Location
This role will be remote, and based in Ireland or U.K.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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УдалённоUnited States; ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com
УдалённоRemote - United Kingdom
УдалённоseniorRemote (United States | Canada)
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УдалённоUnited States; Canada (BC & ON only)
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ОфисseniorГеография найма не уточнена
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leadParis; London; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks