Location: Doha, Qatar
NetWitness provides advanced threat detection, investigation, and response capabilities that help organizations detect sophisticated threats, investigate incidents, and protect critical IT and OT environments.
Job Summary
We are seeking a highly skilled Senior Cybersecurity & Operational Technology Specialist to join the NetWitness team and support customers in Qatar and the broader region.
This role requires the ability to work in Qatar and provide onsite support to customers as needed, including complex investigations, cybersecurity assessments, consulting engagements and incident response.
The role will also support the sales team as a senior technical advisor, helping customers understand NetWitness technologies and services, define requirements, scope engagements and develop technical solutions and proposals.
Key Responsibilities
Partner with local sales teams to develop technical solutions, proposals and customer engagement plans
Lead comprehensive reviews of customer cybersecurity posture across IT and OT environments.
Evaluate customer environments to identify vulnerabilities, security gaps, and opportunities to improve cyber resilience.
Translate assessment findings into actionable improvement plans, helping customers mature their security defenses.
Design and implement secure OT network architectures using segmentation, zero-trust principles, and industry recognized models such as the Purdue Model.
Conduct detailed cybersecurity assessments and threat modeling on physical industrial control systems (ICS), SCADA and other OT environments.
Develop and execute specialized OT incident response playbooks that prioritize process safety and plant availability.
Assist with aligning environments with recognized cybersecurity frameworks, including IEC 62443 and NIST SP 800-82.
Develop and maintain OT risk assessments and translate technical findings into actionable risk priorities for customers executive stakeholders. As part of the job, the resource will deliver cybersecurity consulting services both remotely and in-person.
Deliver proactive services including compromise assessments, gap analysis, threat hunting, incident readiness reviews and customer training.
Conduct digital forensics investigations on endpoints, networks, memory, OT and cloud environments using industry standard tools.
Lead incident response engagements, including triage, malware analysis, threat hunting, and root cause determination.
Develop forensic reports, timelines, and executive summaries for customers and stakeholders.
Develop or customize tools and scripts to improve investigation process.
Collaborate with cross-functional teams to mitigate threats and recommend remediation strategies.
Provide onsite support to customers in Qatar on short notice and travel regionally or internationally for customer engagements and incident response as required.
Mentor junior analysts and contribute to team knowledge-sharing initiatives.
Requirements
7+years of cybersecurity experience and significant hands-on experience in digital forensics and incident response.
Demonstrated hands-on experience securing or assessing OT/ICS environments, including industrial networks, segmentation, incident response, and security architecture.
Strong working knowledge of OT cybersecurity frameworks and standards, including IEC 62443 and NIST SP 800-82.
Strong executive-level and customer-facing communication skills, with the ability to translate complex technical findings into business and operational risk.
Relevant cybersecurity certifications such as GCFA, GCFE, GCIH, GNFA, GREM, CISSP, CISA, OSCP, or equivalent are strongly preferred.
Fluency in English and Arabic (spoken and written).
Must currently reside in Qatar or can legally work in Qatar and provide onsite customer support as required.
Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Forward Deployed Engineers work directly with the largest and fastest-growing AI companies in the world, owning their technical outcomes on Baseten and taking on the hardest problems in serving and improving models at scale. The work spans the model lifecycle: inference, post-training, and the systems that tighten the loop between them.
- Act as each account's de facto CTO on Baseten, with final accountability for how their workloads are designed, run, and scaled.
- Take customer objectives from vague to shipped: frame the problem, define the spec and success criteria, build the PoC, and carry it through to production quickly, using the right tools for the problem.
- Design the evals and benchmarks that isolate where quality or performance falls short, then close the gap yourself, whether that means optimizing inference, improving the model through post-training, or reworking the eval itself.
- Be the first responder to mission-critical failures including triage, owning the fix directly or route to the owning team and stay accountable until it ships.
- Build internal systems so that each engagement is faster than the last. This includes tooling and automation for eval and deployment infrastructure, and the recipes and reference implementations that make the product more self-serve.
- Shape the product itself, channeling what your accounts need into the roadmap and shipping fixes and features into Baseten's codebase yourself.
- Do all of this across multiple accounts at once, sequencing the work, pulling in the right people at the right time, and keeping customers and internal stakeholders aligned on status and risk.
REQUIREMENTS
- Minimum 1-2 years of software engineering experience, shipping and maintaining code in large production systems, ideally with breadth across the stack
- Experience debugging complex production issues - working through logs, metrics, and traces to root-cause problems in unfamiliar systems
- Confidence owning ambiguous technical problems. This includes triaging, making decisions under uncertainty, and knowing when to pull in other engineers who own the underlying systems
- Motivation beyond pure engineering. An interest in wanting to work directly with customers, understand their problems firsthand, and influence the product
- Clear communication on complex technical topics, whether you're talking to a customer's engineers or their leadership
- Genuine curiosity about AI inference and training, and a drive to become an expert in the infrastructure powering it
- Willingness to respond to customers outside regular working hours and participate in an on-call rotation
- Excitement about solving problems for some of the largest and fastest-growing companies in the world running mission-critical AI workloads
WHAT YOU'LL BRING
We don't expect any one person to cover all of this - the strongest candidates may spike in one or two of the following:
- Depth in a core infrastructure domain such as storage systems or networking (anywhere from the cloud layer to cluster interconnects like InfiniBand and RoCE)
- Experience operating distributed compute platforms like Kubernetes, Slurm, or Ray, especially for GPU workloads
- A detailed understanding of LLM architectures and modern inference engines like vLLM, TensorRT-LLM, or SGLang
- The ability to profile and optimize GPU workloads, in training or serving
- Hands-on experience with post-training techniques like SFT and RL, or a broader deep learning background plus fluency in a tensor computation library like PyTorch or JAX
- Operational depth - running on-call, leading incident response, debugging distributed systems under pressure
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Remote, South Korea
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
As a Support Engineer at GitLab, you'll sit at the intersection of Support and Engineering, helping customers solve complex, real-world challenges while running GitLab in diverse and demanding environments. You'll join the Engineering department and work directly with customers as they encounter edge cases. You'll dig into Linux systems, logs, and our Ruby on Rails codebase to troubleshoot performance issues, reproduce bugs, and contribute merge requests that fix problems at the source.
You'll also improve our documentation, refine support processes in our issue tracker, and collaborate closely with Product, Development, Infrastructure, Customer Success, and Sales so customer feedback directly shapes our roadmap. In your first year, you'll build deep expertise across a range of GitLab implementations, strengthen our ability to keep customers productive on both self-managed GitLab and GitLab.com software as a service, and help create tools and content that make support more efficient and effective for the entire team.
Some examples of our projects:
A tool to automatically check a GitLab Omnibus install for known issues
A solution to capture the state of a customer’s server for easier troubleshooting
A tool which turns log files into interactive tables to easily sort and filter columns
A ChatOps feature that makes it easier to identify user accounts on GitLab.com
What you’ll do
Act as an escalation point for difficult customer interactions and lead the resolution of complex issues through Zendesk tickets, merge requests, email, and video calls.
Mentor and guide teammates on complex troubleshooting and customer communication through pairing sessions and cross-team collaboration.
Advocate for and drive improvements to support practices, product quality, and reusable documentation and support content that directly influence team objectives.
Collaborate with Product, Development, Infrastructure, Customer Success, and Sales teams to shape product goals, roadmaps, and priorities while driving fixes and new features.
Participate in regular weekday and weekend on-call rotations during daytime hours, providing emergency support for self-managed GitLab and software as a service customers and coordinating incident communications with the GitLab.com Production team.
Participate in hiring by reviewing applications and assessments and joining interviews to help grow the Support team.
What you’ll bring
Experience owning complex, customer-facing technical cases from initial contact through triage, reproduction, bug reporting, resolution, and clear customer communication, including difficult or escalated interactions.
Strong experience with Linux systems administration, scripting, Git, and continuous integration and continuous delivery in production or customer environments, with the ability to investigate issues at both the infrastructure and application levels.
Ability to mentor teammates on complex troubleshooting and customer communication through pairing sessions, case reviews, and cross-team collaboration.
Experience collaborating with Product, Engineering, and Sales teams to turn customer feedback into product fixes, feature improvements, and roadmap priorities.
Familiarity with DevOps practices and technologies such as Kubernetes and serverless computing, and an understanding of how different GitLab implementations operate and affect customers.
Demonstrated ability to learn, collaborate across teams, and apply transferable skills from related technical support or engineering roles.
Fluent Korean language skills (required)
About the team
We're a globally distributed group of Support Engineers across the Americas, Europe, the Middle East, and Africa, and Asia-Pacific. We work asynchronously and stay connected through pairing sessions, one-on-one meetings, coffee chats, and Slack. We structure our shifts to support our personal lives while meeting customer needs. Thanks to GitLab’s transparency value, you can see what we are working on and how we operate on our
Support Team page
.
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
.
Location: Helsinki; Paris
Workplace: Hybrid
ABOUT VOODOO
Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.
TEAM
The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry.
The Voodoo Ad-Network is an autonomous product group of around 60 highly driven professionals with an ambitious mission: building top-tier ad network services. Our primary goal is to leverage Voodoo's massive first-party data ecosystem to optimize and scale monetization. We are in a rapid growth phase, expanding into new ventures such as opening to external inventory, penetrating the external advertiser market, and driving social network monetization following our recent acquisition of BeReal. To support this incredible trajectory and promising early results, we are scaling our team.
The Models team is a core element of the targeting performance. It leverages machine learning and a strong business understanding to directly impact the product's financial performance. It's composed of mostly senior Data Analysts, Analytics Engineers, Data Engineers and Data Scientists/ML Engineers that iterate together on finding and building the next performing iteration.
This role can be either Paris or Helsinki based and done in a hybrid setup.
ROLE
We're looking for a Senior ML Engineer to join our Models team. You will be joining a dedicated squad of Data Engineers, Data Scientists, and ML Engineers focused on building and maintaining the ML training infrastructure that powers our ad-targeting models from data preprocessing through model deployment to production monitoring.
In this role, you will be leading the following topics:
- Architectural Ownership: Take end-to-end ownership of highly visible projects from ideation to production release. This includes feature scoping, timeline estimation, architecture design, and benchmarking new technologies.
- Pipeline Engineering: Build and maintain quality data and ML pipelines to align with ever-evolving business and machine learning needs. Optimize training pipelines for performance, memory efficiency, and cost (e.g. spot instance strategies, efficient data loading, preprocessed artifact reuse).
- Data Scientists Enablement: Enable Data Scientists to iterate faster by providing reusable, well-tested pipeline components (transformers, dataloaders, training utilities) and reviewing their contributions to shared code. Extend dataset capabilities: integrating new data sources, scaling feature windows, and increasing training data volumes without breaking pipeline constraints.
- Deep Learning Development: Contribute to deep learning development: GPU workload orchestration, custom PyTorch training loops, and model architecture support.
- ML Lifecycle & Reproducibility: Maintain reproducibility and consistency across the ML lifecycle: versioned configs, experiment tracking, and online-offline consistency tooling.
- Scalability & Reliability: Collaborate with infrastructure teams on scalability — node pools, resource monitoring, CI/CD migrations. Participate in weekly rotation to triage and resolve alerts from Airflow, dbt, and related systems.
- Agile Collaboration: Thrive in a fast-paced agile environment with rapid decision-making processes. You will collaborate daily with back-end developers, data scientists, infrastructure engineers, and product managers.
- Mentorship & Team Culture: You will actively contribute to our engineering culture, share knowledge, and ensure every team member feels comfortable, supported, and empowered to grow in their role.
PROFILE
We are looking for a Senior ML Engineer who deeply understands both the ML training lifecycle and the specific challenges of putting machine learning models into production at scale.
- 5+ years minimum of experience as an ML Engineer or a similar role
- End-to-End ML Ownership: Problem framing, baselines, experimentation, deployment, and iteration
- Python Proficiency: Extensive knowledge for ML pipeline code: preprocessing, training/evaluation workflows, experiment utilities, and reproducible configs
- Training Mechanics: Comfortable implementing training mechanics where needed (custom steps/metrics, dataloading patterns, performance-conscious preprocessing), not only notebook-level prototyping
- ML Frameworks: Practical experience training and evaluating models with scikit-learn, LightGBM, PyTorch for deep learning
- Performance Optimization: Experience optimizing memory usage during data preprocessing and model training
- Experiment Management: Hyperparameter tuning, experiment tracking, and reproducible training (configs, seeds, versioning)
- Cloud & Infrastructure: Experience with Amazon Web Services. Familiarity with scalability, reliability, and security topics
- ML Production Awareness: Understanding of the challenges involved in running ML models in production (familiar with topics such as feature store, training-serving skew, etc.)
- Model Serving: Experience with model serving infrastructure (real-time or batch inference, latency/throughput optimization) is a plus
- Excellent communication skills in English
OUR STACK
Python · Scikit-learn · LightGBM · PyTorch · DBT · Spark · MLflow · Prometheus · Terraform · Airflow · Kubernetes · Amazon Web Services
BENEFITS
- Excellent benefits that will depend on the country you're based in
Location: Bangalore, India
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
As a Support Engineer at GitLab, you'll sit at the intersection of Support and Engineering, helping customers solve complex, real-world challenges while running GitLab in diverse and demanding environments. You'll join the Engineering department and work directly with customers as they encounter edge cases. You'll dig into Linux systems, logs, and our Ruby on Rails codebase to troubleshoot performance issues, reproduce bugs, and contribute merge requests that fix problems at the source.
You'll also improve our documentation, refine support processes in our issue tracker, and collaborate closely with Product, Development, Infrastructure, Customer Success, and Sales so customer feedback directly shapes our roadmap. In your first year, you'll build deep expertise across a range of GitLab implementations, strengthen our ability to keep customers productive on both self-managed GitLab and GitLab.com software as a service, and help create tools and content that make support more efficient and effective for the entire team.
Some examples of our projects:
A tool to automatically check a GitLab Omnibus install for known issues
A solution to capture the state of a customer’s server for easier troubleshooting
A tool which turns log files into interactive tables to easily sort and filter columns
A ChatOps feature that makes it easier to identify user accounts on GitLab.com
What you’ll do
Act as an escalation point for difficult customer interactions and lead the resolution of complex issues through Zendesk tickets, merge requests, email, and video calls.
Mentor and guide teammates on complex troubleshooting and customer communication through pairing sessions and cross-team collaboration.
Advocate for and drive improvements to support practices, product quality, and reusable documentation and support content that directly influence team objectives.
Collaborate with Product, Development, Infrastructure, Customer Success, and Sales teams to shape product goals, roadmaps, and priorities while driving fixes and new features.
Participate in regular weekday and weekend on-call rotations during daytime hours, providing emergency support for self-managed GitLab and software as a service customers and coordinating incident communications with the GitLab.com Production team.
Participate in hiring by reviewing applications and assessments and joining interviews to help grow the Support team.
What you’ll bring
Experience owning complex, customer-facing technical cases from initial contact through triage, reproduction, bug reporting, resolution, and clear customer communication, including difficult or escalated interactions.
Strong experience with Linux systems administration, scripting, Git, and continuous integration and continuous delivery in production or customer environments, with the ability to investigate issues at both the infrastructure and application levels.
Ability to mentor teammates on complex troubleshooting and customer communication through pairing sessions, case reviews, and cross-team collaboration.
Experience collaborating with Product, Engineering, and Sales teams to turn customer feedback into product fixes, feature improvements, and roadmap priorities.
Familiarity with DevOps practices and technologies such as Kubernetes and serverless computing, and an understanding of how different GitLab implementations operate and affect customers.
Demonstrated ability to learn, collaborate across teams, and apply transferable skills from related technical support or engineering roles.
About the team
We're a globally distributed group of Support Engineers across the Americas, Europe, the Middle East, and Africa, and Asia-Pacific. We work asynchronously and stay connected through pairing sessions, one-on-one meetings, coffee chats, and Slack.
We structure our shifts to support our personal lives while meeting customer needs. Thanks to GitLab’s transparency value, you can see what we are working on and how we operate on our
Support Team page
.
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
.
Location: Remote, United States
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
As a
Senior Product Manager
, you will own GitLab's Secret Detection offering and the Vulnerability Research function that produces the detection content across security products. Secret Detection is one of the highest-signal, highest-volume security capabilities on the platform. Leaked credentials are the most common initial access vector in real breaches, and as AI agents write, commit, and configure more of the software, the surface area for exposed secrets grows faster than the number of humans watching it.
You will own the full loop: detect a secret with high precision, tell the customer whether it is still live, get it revoked, and prevent the next one from ever landing. In parallel, you will own vulnerability research as a product asset rather than a back-office function. The detection rules, advisory data, and malicious package and reference intelligence your team produces are what make GitLab's security scanners worth paying for, and they need to ship on a cadence with measurable quality.
This is an outcome-owning role - you will carry adoption, retention, and revenue targets for your area and be expected to explain how your roadmap moves them.
Some examples of our projects:
Push protection and pre-receive blocking that stops a credential before it reaches a repository, without wrecking developer flow
Secret validity checking and automated revocation partnerships with major cloud and SaaS token issuers
Detection content pipelines that turn threat research into shipped rules, with precision and recall tracked per rule
Intelligence-driven detection of malicious packages, dependencies, and references entering the software supply chain
What you'll do
Own
the business outcomes for Secret Detection and Vulnerability Research, including adoption, expansion, competitive win rate, and revenue contribution. Bring a point of view on packaging and pricing, not just features.
Set
the strategy for the full secret lifecycle: prevention, detection, validation, revocation, and reporting across GitLab.com, Dedicated, and Self-Managed.
Treat
detection content as a product. Define how rules, advisories, and intelligence feeds are sourced, validated, versioned, and measured, and make quality visible to customers.
Hold
the line on detection quality. False positives are a product defect and you will own the metrics that prove precision is improving.
Work
at the level of the technology. Read the rule syntax, question the entropy heuristics, understand why a scanner missed something, and challenge engineering with informed alternatives.
Use
AI to compress the distance between question and answer. Pull your own data, prototype your own flows, synthesize research and competitive input yourself, and bring conclusions rather than requests for someone else to investigate.
Build
the case for where AI belongs in the product: triage, rule generation, remediation guidance, and reducing the human review burden per finding.
Partner
with engineering, security research, threat intelligence, Field, and GitLab's own Security team, who are one of your most demanding users.
Communicate
in writing, asynchronously, with enough precision that a distributed team can act without a meeting.
What you'll bring
Domain depth
in application security, vulnerability management, or security research. You have worked on or adjacent to scanners, detection content, threat intelligence, or SDLC security tooling and you know how these products actually get evaluated in a bake-off.
Technical credibility
sufficient to earn the respect of a security engineering team. You do not need to have written the scanner, but you should be able to reason about detection logic, data pipelines, CI integration, and the tradeoffs between coverage and noise.
Commercial reasoning.
You start from revenue mechanics, buyer motion, and competitive displacement, then work inward to product decisions. Candidates who reason only from feature lists outward are not a fit.
Evidence of using AI as a force multiplier
in your own work: research, analysis, data pulls, prototyping, drafting. Consuming a chat assistant occasionally is not the same as restructuring how you work.
Judgment under ambiguity.
You bring structured options and a recommendation instead of escalating an open question.
Bias for clarity.
You can take a noisy, technical, politically contested problem and produce one page that everyone can align on.
Bonus:
hands-on background as a developer, security engineer, red teamer, or researcher; experience with credential and token ecosystems; experience commercializing a data or intelligence asset.
About the team
This role sits in GitLab's Security product management organization, which owns application security testing, vulnerability management, supply chain security, secrets management, and AI governance. The Security Section is central to GitLab's Ultimate tier and to the shift toward consumption-based product revenue, so the work is visible to senior leadership and directly tied to company results. You will work asynchronously with engineering, design, and research counterparts across multiple regions, and with the Field teams who take this to market.
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
.
Location: EMEA; United Kingdom; The Netherlands
Workplace: Remote
We are currently growing our support team at ClickHouse, which provides excellent service to our customers around the world. We are seeking a Technical Customer Support Engineer to join our global Support Engineering team. We hope to find you ready to take on a variety of tasks related to our customers across EMEA, as well as more globally across the Americas, and APJ regions when support is needed or coverage overlaps. This is a customer-facing role that will include interactions via chat, calls, Slack messages, and video meetings. You will be owning a wide variety of tasks: from triaging support tickets to user community support, helping with both pre- and post-sales customer activities, partnering with our Go To Market team with deeply technical aspects of POCs, and suggesting improvements to how we do things in Support at ClickHouse. This is a great opportunity for someone ready to roll up their sleeves and help us continue to provide excellent customer support to our rapidly growing user base.
What you will be doing:
- Supporting and guiding our ClickHouse users, customers, and prospects via cases, chat, Slack, community, and meetings
- Develop solutions based on ClickHouse Cloud and ClickHouse open-source that can be shared with our users, community, and customers via documentation, knowledge base, blogs, meetups, webinars, and training
- Work closely with our global Support Services, Engineering, Go to Market, and Product Management teams to help define functionality required by users and customers
- Assist with mentoring, training, and sharing your knowledge with colleagues, users, and customers
And of course:
- You will deliver excellent customer service as a first-line technical engineer and representative of ClickHouse. Our Support Engineers provide professional response, on-call coverage, and guidance within the required Service Level Agreements ("SLAs") on technical cases that are opened via a ticketing system, email, Slack, chat, and/or phone
- You will build strong, trusted relationships with colleagues, customers, and partners
What you bring along:
- Technical breadth and depth in ClickHouse open-source or ClickHouse Cloud, or in domains relevant to ClickHouse, such as: SQL databases, OLAP, cloud-native SaaS, distributed systems
- Previous technical experience in roles such as Support Engineer, Consultant, Database Administrator, Site Reliability Engineer, Solutions Engineer, Software Engineer, and/or Systems Engineer
- Be present and available according to the scheduling required to deliver high-quality 24x7 Support in a global, distributed environment
- Strong communication skills and the ability to work fully remote with reliable connectivity
- A mindset of teamwork, global engagement, empathy, and solving challenging problems
- A sense of adventure and urgency in building the most scalable, high-performing, largest, and fastest databases on the planet
- The ability to build trusted relationships with colleagues, customers, and partners
- You are self-driven, curious, and eager to continuously learn and grow
Bonus points:
- Experience with ClickHouse
- Experience with OSS and open-source technologies, as a user, community member, or contributor
- Experience with Azure, GCP, or AWS
- Experience with data pipelines such as Kafka, Kinesis, Spark, RabbitMQ, or others
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: San Francisco, CA; New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
The Security team ensures that while AI moves at breakneck speed, everyone driving the racecar is wearing a seatbelt. We secure LangChain's core platform and protect AI agents from emerging threats. We work across the stack so developers can confidently ship from prototype to production without compromising on safety or privacy.
ABOUT THE ROLE
You'll be the hands-on detection and response engineer responsible for how we see, stop, and learn from threats across LangChain's production platform, cloud infrastructure, and the services that host and execute agentic workloads. You'll partner closely with Product Security to turn threat models, vulnerabilities, and incidents into telemetry, detections, and durable defenses. Your primary focus is engineering: building detection, investigation, and response systems that scale the Security team's impact beyond what manual operations allow. We are looking for engineers who think like builders, not just operators — strong software skills are a must.
This role participates in an incident on-call rotation, but its core focus is engineering systems that reduce risk, speed up investigations, and make incidents less frequent and less costly.
Location/City: San Francisco or NYC
WHAT YOU'LL DO
- Own the detection lifecycle: Translate threat models, incidents, and attacker behavior into telemetry requirements and detections-as-code. Validate coverage, measure signal quality, tune false positives, and continuously test whether defenses work.
- Build security monitoring and telemetry: Design the telemetry pipeline end-to-end across cloud (GCP/AWS), Kubernetes, and the LangSmith/LangGraph control plane. Instrument services, define the signals that matter, and make security data reliable and useful.
- Engineer investigations and threat hunting: Build tools and workflows for proactive hunting, evidence collection, incident scoping, and containment. Turn investigation findings into new detections and lasting improvements.
- Use agents to scale the team: Build reliable internal AI agents and automation that triage alerts, enrich findings, gather evidence, scope incidents, and accelerate routine security work. Design human-in-the-loop controls and evaluations so automation is safe, observable, and trustworthy.
- Lead incident response and participate in on-call: Triage, scope, contain, and remediate security incidents, then drive postmortems that produce durable engineering changes.
- Partner with Product Security: Turn product threat models and vulnerability findings into production monitoring, and feed real-world detection and incident learnings back into secure design.
WHAT YOU'LL BRING
- 5+ years in security engineering, with meaningful experience in detection engineering, security operations, or incident response — and the software skills to build your way out of repetitive work.
- Strong software engineering in Python or Go (TypeScript a plus). You design maintainable systems and write production code, not just one-off scripts.
- Cloud and Kubernetes detection depth: Experience with GCP or AWS logging, Kubernetes audit and runtime telemetry, workload identity, and turning raw signals into actionable detections.
- Detection and adversary expertise: The ability to model realistic attacker behavior, hunt across complex systems, test detection coverage, and distinguish meaningful signal from noise.
- Hands-on incident response: You've participated in on-call, led incidents, and written postmortems that changed how a team operates.
- Experience building reliable automation or developer-facing systems: You can design APIs and workflows, instrument what you build, evaluate quality, and operate it in production.
- A pragmatic product mindset: You can identify users and requirements, prioritize the highest-leverage problems, define success, and ship iteratively.
NICE TO HAVE
- Experience building or operating AI agents for security workflows such as alert triage, investigation, evidence collection, or human-in-the-loop response.
- Proficiency using AI tooling to accelerate security investigations and engineering work.
- Understanding of AI threats, adversarial testing, and the security boundaries of LLM and agent workloads.
- Exposure to SOC 2 or ISO 27001 monitoring and evidence automation.
- Experience with infrastructure as code such as Terraform or Helm.
- Experience securing both SaaS and self-hosted or air-gapped deployments.
Annual salary range: $185,000- $250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Espoo
Workplace: OnSite
Role highlights:
- AIT Mechanical Test Engineer
- Location: Espoo, Finland
- Department: Global Manufacturing Organisation
- Reports to: AIT Engineering Team Manager
- Employment type: Permanent
- Workplace model: On-site
- Employment is subject to applicable security screening (incl. SUPO, where required)
Why this role matters:
As an AIT Mechanical Test Engineer, you own mechanical and environmental test readiness for ICEYE's satellite platform: vibration, shock, mass properties, and fastened or mechanism interfaces. You will personally set up, run, and troubleshoot vibration test campaigns end-to-end, working in close partnership with structural and mechanical designers to ensure every subsystem can be built and verified reliably as ICEYE scales GEN4 satellite production toward a weekly build cadence.
Who We Are
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
Your day-to-day responsibilities
- Own mechanical and environmental test readiness for vibration testing (random vibration, sine burst/sweep, sine-on-random/random-on-random, resonance search and dwell), shock, mass properties/CG verification, and fastener torque and thread-locking integrity testing
- Personally set up, operate, and troubleshoot the vibration test system (electrodynamic shaker, slip table, head expander) and its control software, including electronic, hydraulic, and pneumatic sub-systems
- Design or evaluate test fixtures, considering structural dynamics principles and force/overturning moment budgets, and coordinate fixture fabrication
- Author test procedures and reports that are technically correct, version-controlled, and executable on the floor without interpretation
- Act as the mechanical test point of contact for engineering and production when structural behaviour during test is unclear, unexpected, or blocking
- Work in a "2-in-a-box" partnership with structures and mechanical designers to derive and verify test levels and assess testability of design changes
- Own Tier-2 technical support for mechanical test non-conformances and anomalies -- triage, root cause, corrective action, and closure
- Analyse test data and communicate results and recommendations clearly to engineering teams, while mentoring AIT technicians on mechanical test execution
What we’re looking for
Must haves:
- Degree in Mechanical Engineering, Aerospace Engineering, or a closely related discipline
- 3-5 years of hands-on experience in vibration, shock, or environmental test engineering in a hardware-intensive environment (aerospace, defence, automotive, or similar)
- Direct, hands-on experience operating electrodynamic shaker systems and vibration test control software across sine, random, shock, and sine burst/sweep testing
- Solid understanding of structural dynamics and environmental test methods, with working knowledge of relevant standards (RPUG, MIL-STD-1540/810, NASA GEVS, or ECSS)
- Experience designing or evaluating test fixtures and deriving test levels from mass properties and force/OTM budgets
- Ability to read and interpret mechanical drawings, ICDs, and test specifications, translating them into executable test procedures
- Excellent English communication skills, written and verbal, across engineering and production audiences
Nice to haves:
- Hands-on experience with Vibration Research software (VibrationVIEW / ObserVIEW)
- Experience in spacecraft, aerospace, defence, or other high-reliability mechanical test environments
- Familiarity with satellite structural qualification or acceptance test campaigns
- Exposure to HALT/HASS or other accelerated environmental test methods
- Experience supporting new test equipment acquisition, FAT/SAT, and commissioning
- Proficiency with Jira or equivalent engineering tracking and NC management systems
Application Process
- Talent Attraction interview
- Hiring manager interview
- Technical interview, including a technical challenge
- Final interview
- Offer
Working at ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
How We Work (Our Values)
- Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
Benefits
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Our Commitment to Diversity, Equity, and Inclusion
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking an experienced Customer Programs Manager to build the operational foundation that allows our customer marketing engine to scale. As our advocacy and co-marketing programs grow across startups, digital-native businesses, and enterprise accounts, we need someone who can turn our scaled co-marketing program into a well-instrumented, repeatable and measurable system. You'll deploy resources and capital to create compelling customer stories across formats, and amplify them across both bespoke partnerships and agency-run campaigns. You’ll also own the broader customer marketing intake process and its tooling, and the system of record for how customers participate across advocacy and co-marketing.
You'll work closely with Sales, Partnerships, Marketing, Finance, and Brand, reconciling co-marketing spend each quarter, briefing agencies on which stories we want to tell, and partnering with Marketing Ops and Data Science to build the measurement framework we use to report back to leadership on impact. You'll help shape how a rapidly growing function operates, at a moment when customer proof is one of the most powerful levers we have for building trust in beneficial AI.
Key responsibilities:
Own the investment behind our customer co-marketing programs, covering allocation tracking, spend pacing, agency coordination, and quarterly budget reconciliation across a rotating cohort of customer accounts
Develop and execute co-marketing plans with participating customers that grow Claude adoption and the customer's own reach, coordinating with Growth Marketing on campaign strategy.
Run the always-on scaled co-marketing motion, co-producing high-quality creative assets with a rotating cohort of customers and deploying agency partners to amplify them as paid campaigns on the customer's own channels
Partner with Customer Marketing, Sales, and Partnerships to decide which customers we work with and build the criteria that keep those decisions consistent
Own the customer marketing intake process and its tooling, keeping it the system of record and building the playbooks that keep it consistent as we scale, partnering with Customer Marketing segment leads who own triage and prioritization for their segments
Define how we measure the impact of our customer marketing investments, working with Marketing Ops and Data Science, and use that measurement to shape investment decisions with leadership
Report back to participating customers on what their participation returned, measured on the outcomes they care about, like reach, engagement, and new customer acquisition
Use Claude as a core part of your operational toolkit — building skills, automating intake and triage, and finding leverage wherever a process can be made faster or smarter for the Customer Marketing team
Minimum qualifications
Managed co-marketing growth or partner investment programs and are comfortable with the reconciliation, forecasting, agency coordination, and stakeholder reporting that comes with it
Managed agencies as a working partner, developing the brief, directing the work, and holding the quality bar on co-branded creative
Built joint marketing plans with partners or customers that served their goals as much as your own
Working knowledge of demand generation and paid social and the ability to optimize campaigns
Experience defining how a program gets measured and proving its impact, both to your own leadership and back to the customer in the terms they care about
Existing fluency with Claude, and the instinct to reach for it to automate, analyze, and scale your own work
Comfort building in a fast-moving environment where the program, the budget, and the priorities are all still taking shape
Preferred qualifications
7+ years in B2B SaaS marketing, including at least 3 years in customer marketing. Partner marketing or program management experience is a strong plus.
Experience operating co-marketing or partner marketing programs at a developer-focused or AI/ML company
Background in revenue operations or marketing analytics, and hands-on comfort in Salesforce and BI tooling
Experience proving incremental program impact against a comparison group rather than reporting activity
Experience standing up or owning the tooling behind a marketing program — intake forms, workflow automation, dashboards, or a customer participation database
Comfort working closely with Sales teams and an understanding of how customer marketing supports pipeline and retention
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:
$255,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York, NY (HQ)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Ramp's Brand team ships a high volume of ambitious creative across product launches, growth, events, customer marketing, and brand awareness. As the work has scaled, so has the need for a strong operating system around it.
We're hiring a Director of Brand Operations to build that operating system: the processes, milestones, and cross-functional coordination that let a world-class creative team do its best work and ship fast. This is an operations role focused on how the work gets done; it is not a traditional production-management role.
You'll be the operator who protects creatives from organizational swirl, sets clear ways of working, and fixes cross-functional breakdowns upstream so great ideas reach the world quickly.
WHAT YOU’LL DO
- Own and build the operating system for how Brand's creative gets produced.
- Build the brand operating system: the processes, milestones, and ways of working that turn creative direction into shipped work.
- Diagnose and fix bottlenecks across functions. Find where work stalls, trace it to the source, and remove the limiting factor wherever it lives.
- Protect creatives from org swirl by absorbing cross-functional complexity so the team stays focused on the work.
- Automate with AI: use AI to streamline how work flows and cut manual overhead across the operation (intake, triage, status, reporting, handoffs).
- Partner with the creative leads so operations and creative are complementary, freeing creative leads to focus on creative.
- Be Brand's ambassador to the rest of Ramp: scope incoming work and pull Brand into projects early, at the right time.
WHAT YOU NEED
- Exceptional organization: you hold 20+ live workstreams and keep everyone on track
- A cross-functional root-cause instinct: you can walk into a tangled, multi-team workflow, explain why it's slow, and fix it. This is the most important capability for the role.
- A track record of building systems and automation: you've taken an operation from messy to repeatable and use tooling and AI to compress cycle time.
- A metrics-driven approach: you instrument delivery so progress is clear and provable.
- Hands-on, lean leadership: you lift both the operation and the people in it.
- A bias for better ways of working: you remove limiting factors and speed up delivery without adding process for its own sake.
- An operator-first profile: we care more about someone who can diagnose and fix how work flows than about a creative, production, or marketing pedigree. Strong candidates come from product ops, biz ops, GTM ops, finance ops, or chief-of-staff backgrounds.
NICE TO HAVES
- Experience scaling an in-house creative or content studio in a high-growth environment.
- Experience building AI-assisted operational workflows.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
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. 🚀
Come lead the Identity & Access Management Platform team (IAM Platform) — the foundational layer that decides who can see and do what across all of ClickUp. This team owns the authorization engine, the permission and role model, authentication (SSO, MFA, SCIM, OIDC), sharing primitives, audit logs, and the core data model and APIs that define how customers' work is organized and nested across the product — the foundation every other part of ClickUp is built on. It is backend-heavy, high-blast-radius work. As we move upmarket, this is some of the most important and security-sensitive work we do — enterprises decide whether they can trust us based on how precise, predictable, auditable, and manageable our access controls are.
We're looking for a Senior Engineering Manager to lead and grow this team. Your mandate is twofold: deliver an enterprise-grade access management platform — extensible, configuration-driven, correct and auditable by design — and build the team that will carry it, hiring and developing engineers as we invest heavily in enterprise. You'll raise the access, identity, and admin capabilities enterprises depend on to an enterprise-grade standard and keep them there, partnering with a Staff engineer on technical direction while you own delivery, people, and priorities.
Just as important: you'll run this team the way ClickUp runs — AI-native. We structure work so AI agents can read it, route it, roll it up, and report on it, so a small team amplified by agents operates at a different scale. There are no status-reporting meetings; agents keep status, progress, and health current from real signals, and reporting is self-serve. We want a manager who has already used AI flows to cut noise, eliminate busywork, and streamline how a team operates — and who will push that further.
RESPONSIBILITIES:
- Lead, grow, and develop the IAM Platform engineering team — own hiring, mentorship, performance, and career growth, and scale the team thoughtfully as we expand our enterprise investment.
- Own the delivery of ClickUp's enterprise-grade access management platform: the authorization engine and permission/role model, authentication (SSO via SAML/OIDC and social/Okta/Entra, MFA/2FA, session and token management), SCIM provisioning, sharing and access-control primitives, audit logs, OAuth and API token management, and the core data model and APIs that define how customers' work is organized across the product.
- Set the roadmap and priorities in partnership with product, security, and engineering leadership — elevating the access, identity, and admin capabilities enterprises depend on to an enterprise-grade standard and keeping them there.
- Run an AI-native team: structure the work so agents can route, scope, and report on it; use AI flows to remove status meetings and manual reporting, reduce noise, and let a small team operate at scale. Continuously raise the bar on how the team leverages AI end-to-end.
- Partner with enterprise customers, GTM, and security teams on access-control and identity requirements, and represent ClickUp credibly in enterprise security and architecture reviews.
- Own operational excellence for high-blast-radius services: a healthy on-call rotation, safe migrations, reliability, and a clear security boundary where the server remains the source of truth.
- Uphold a high engineering bar — design and code review, testing, performance, and security-by-design — for the most security-critical area of the product.
- Collaborate across backend, frontend, platform, product, design, and infosec to ship coherent access experiences on top of the platform.
REQUIREMENTS:
- 8+ years of professional software engineering experience building production SaaS, with 3+ years managing engineering teams (including senior engineers).
- Identity and access management experience is required — hands-on background delivering authentication and authorization systems: OAuth 2.0, OIDC, SAML, JWTs, MFA/2FA, enterprise SSO, SCIM, and RBAC/permission and role models, ideally in a multi-tenant environment.
- A proven ability to use AI tools and agentic workflows to reduce noise and streamline how a team works — automating reporting, triage, and status, and freeing engineers to focus on building.
- Experience delivering enterprise-grade SaaS at scale, and working directly with enterprise customers and their security, compliance, and administrative requirements.
- A track record of building and scaling high-performing engineering teams — hiring, growing, and retaining strong engineers.
- Enough technical depth to lead architecture discussions, make sound trade-offs on high-blast-radius systems, and hold a high bar without being the sole implementer.
- A security-conscious mindset: you design access control precisely, treat the server as the source of truth, and think about correctness, auditability, and blast radius by default.
- Excellent communication and cross-functional collaboration skills across engineering, product, design, and security.
- Daily fluency with AI tools in your own workflow.
PREFERRED QUALIFICATIONS:
- Experience owning IAM or authorization at scale — millions of users, multi-tenant, or workspace-scoped identity and token models.
- Experience designing configuration-driven or policy-based access models (RBAC/ABAC), authorization engines, or Zero Trust identity.
- Experience with SCIM provisioning, audit logging, and enterprise compliance frameworks (SOC 2, ISO 27001, and similar).
- A track record of moving a product upmarket and winning demanding enterprise customers.
- Experience introducing AI-native or agent-driven operating models to an engineering team.
- Experience managing engineers across backend and frontend, or managing other leads.
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; Seattle, WA; New York, NY; San Francisco, CA
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
*Open to hiring remote across North America and London — we also have offices in NYC, San Francisco, Seattle, and London.
We’re building a tool that makes content creation easy and accessible for all types of creatives. Our users love it. Runway has an actively engaged and growing community of passionate artists and creators worldwide. And we’re growing our support team to ensure we can continue to provide delightful experiences for our users every day.
We're looking for creatives at heart that can pick up new tools fast, hold up under high ticket volume without losing quality and identify solutions vs. just clearing the queue. If that's you, read on!
WHAT YOU’LL DO
- Work through a high volume of inbound support tickets across Free, Standard, Pro and Unlimited plans with speed and accuracy
- Handle escalations from our AI support layer with sharp judgement on what needs a human and what doesn't
- Identify patterns across tickets and proactively surface them to the product team- not just reporting, but also offering thoughtful recommendations based on what you're seeing
- Help identify opportunities to maintain or build self-service content: help docs, short-form videos, FAQs, etc.
- Engage with the Runway community on Discord and other forums
- Contribute directly to process improvements and automation, including building things yourself when the opportunity is there
- Triage complex technical issues for escalation to Enterprise support
- Live troubleshoot within the Runway platform as needed
WHAT YOU’LL NEED
- You're already comfortable in tools like Notion, Slack, Zendesk (or similar), Google Workspace and AI platforms
- Strong written communication: clear, direct, and thoughtful at volume
- A learn-by-failing mentality, when you hit something unfamiliar, you have an experimental mindset
- Natural curiosity about how products work, why users get confused, and what could be done better
- Comfort managing your own work in a fast-moving environment- high ownership and high autonomy
- Data driven mindset: you notice patterns and know how to communicate them
- 1-3 years in customer support, operations, or technical role
- Expertise and/or interest in the creative space, AI or both
- Genuine interest in AI, creative tools or both
WHAT SETS YOU APART
The most successful people in this role don't just keep up- they set the pace. They move through 60, 80, even 100+ tickets in a day without letting quality slip. They're reading the queue, not just clearing it. They notice what keeps surfacing and do something about it, a message to product, a doc, sometimes something they built themselves. They show up with ideas no one asked for yet.
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Bengaluru, Karnataka, India, APAC
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
dbt Fusion is building the next generation of data execution and connectivity infrastructure, enabling dbt workloads to run efficiently across diverse compute engines and data platforms. As a Senior Engineer on the Fusion Adapters and Connectivity team, you’ll design and ship core abstractions powering how dbt communicates with execution systems — leveraging Rust, Go, Arrow, and emerging open standards. This is a rare opportunity to work at the intersection of systems programming, database internals, and high-visibility open-source development. Your work will shape a foundational platform leveraged across the dbt ecosystem and the broader data community.
What You’ll Do
Design, build, and maintain Rust-first connectivity layers, execution APIs, and adapter scaffolding.
Partner with teams building the dbt compiler, semantic layer, and runtime to evolve adapter interfaces and system boundaries.
Contribute to Arrow/ADBC and other open-source specifications or implementations, strengthening the data ecosystem.
Own CI, testing frameworks, profiling, error reporting surfaces, and release readiness for Fusion adapters.
Debug complex interoperability and performance issues across drivers, engines, and compute domains.
Collaborate with internal and community maintainers to review PRs, write RFCs, and evolve public code architectures.
Mentor engineers on systems best practices and contribute to shared patterns around resilience, debuggability, and API clarity.
Skills We’re Looking For
Strong programming background in Rust, Go, C++ or similar performance-oriented languages.
Experience designing or maintaining SDKs, libraries, connectors, or compute/data integration codebases.
Exposure to data warehouses, query engines, Arrow/columnar ecosystems, or execution runtimes.
A desire to build foundational platform components that other teams and community members rely on.
Comfort working in public code review loops, async-first communication, and collaborative RFC processes.
A mindset grounded in debuggability, reliability, and ownership in ambiguous problem spaces.
You’ll have an edge if you have:
Contributed to or interacted with Arrow, ADBC, DuckDB, Presto, DataFusion, Spark, ClickHouse, or similar engines.
Experience shaping adapter/plugin standards, driver contracts, or architectural interfaces used by others.
Familiarity with Rust async ecosystems (tokio, tower, tracing) or Go concurrency practices.
Prior OSS governance experience — triaging issues, reviewing PRs, or working with community maintainers.
An interest in building developer-experience layers or scaffolding frameworks for adapter authors.
Qualifications:
6+ years experience in software engineering, with strong systems-level skills.
2+ years working in open-source, SDK, runtime, or low-level integration environments.
Bachelor’s degree in Computer Science / related field or equivalent experience through industry OSS contributions.
#LI-REMOTE
#LI-SA1
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: New York City, NY; San Francisco, CA; Seattle, WA; 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
The IT Operations team keeps Anthropic running — we make sure every employee can do their best work without friction. We're seeking an IT Support Engineer who combines deep technical skills with a genuine service mindset and sound judgment.
Anthropic is growing fast, and our IT operations need to keep pace. That means onboarding at scale, automating repetitive processes (including with Claude), and continuously improving the employee experience. You'll handle support challenges across our primarily macOS environment while contributing to the operational improvements that help us scale. You'll work closely with IT Engineering and Security, with opportunities to grow into more technical infrastructure work over time.
Responsibilities
End-User Support
Triage and resolve issues across hardware, software, networking, and accounts — primarily through our ticketing system, with additional support via Slack and in-person
Diagnose and resolve issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian)
Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement
Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs)
Handle escalations requiring cross-team coordination
Participate in an on-call rotation for urgent issues outside business hours
Provide hands-on support for user technology, AV systems, conference rooms, and printers
Communication & Documentation
Communicate clearly with users of all technical levels
Write and maintain internal documentation including runbooks, how-to guides, and knowledge base articles
Identify patterns in support requests, surface recurring issues to the team, and identify opportunities for automation or systemic solves
Operational Improvement
Help streamline onboarding and other high-volume operations as the company scales
Contribute to automation efforts
Maintain and improve device management, identity, and access systems
Assist with scripting (Bash, Python) to automate repetitive tasks
You may be a good fit if you
Have 7+ years of hands-on IT support experience, ideally in a fast-paced or high-growth environment
Are an excellent communicator who genuinely enjoys helping people solve problems
Have strong troubleshooting skills and are methodical, curious, and persistent
Demonstrated experience supporting macOS endpoints and comfortable supporting ChromeOS, iOS, and Android
Have significant experience with Google Workspace administration
Have experience with Slack administration — workspace management, permissions, and troubleshooting
Have substantial experience supporting and administering additional SaaS tools
Understand identity and access fundamentals — SSO, MFA, directory services
Are familiar with MDM fundamentals and endpoint management concepts
Have experience with basic scripting (Bash or Python) for automation
Take ownership of problems and follow through until they're resolved
Think beyond the immediate fix — you ask "why did this happen?" and "how do we prevent it?"
Are organized enough to manage competing priorities without things falling through the cracks
Propose solutions when you see a process that doesn't scale
Are looking to develop deeper technical skills and take on more complex systems administration challenges over time
Strong candidates may also
Be familiar with zero-trust security concepts and endpoint security tooling
Have experience with networking basics — DNS, DHCP, VPNs, networking fundamentals
Have contributed to IT projects beyond day-to-day support (migrations, tool rollouts, process redesigns)
Have experience using AI tools to improve personal or team productivity
Location
This role is based in our San Francisco, Seattle, New York or Washington DC office and there is a 4 day/week in office expectation.
What Makes This Role Unique
You'll be joining a high-impact IT team supporting some of the world's leading AI researchers and engineers. The pace is fast and you'll have real ownership over your work. This isn't a role where you follow rigid scripts — you'll be trusted to use your judgment, improve our processes, and grow with the team. Because we're scaling rapidly, you'll have meaningful opportunities to shape how IT operations work at Anthropic.
Deadline to apply: None. Applications will be received on a rolling basis.
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:
$180,000
—
$230,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Baseten's engineers want to work in an AI-first way. What's missing isn't enthusiasm — it's the platform underneath it. Today everyone assembles their own agent config, context files, and MCP servers, so the good patterns stay trapped in individual setups instead of becoming defaults everyone inherits.
You'll build that platform: the agent configurations tuned to our monorepo, the context and tooling layer that makes agents competent in our codebase, the evals that tell us which approaches actually work, and the rollout mechanics that get a new engineer productive with agents in week one.
You are not here to mandate how engineers use AI — you're here to make the good path the easy path. Success looks like teams adopting what you build because it beats what they'd cobble together themselves, not because a policy requires it. Platform engineer, not AI evangelist. Ship infrastructure, measure it, kill what doesn't work, let adoption be the referee.
The playbook for AI-first SDLC doesn't exist at any company yet. You'll write ours.
EXAMPLE INITIATIVES
Agent substrate — Repo-level context infrastructure that makes agents competent in our codebase (CLAUDE.md/AGENTS.md http://CLAUDE.md/AGENTS.md conventions, architecture and domain context, and the tooling to keep it accurate as code moves). Internal MCP servers giving agents scoped access to CI, observability, incident tooling, deployment state, and docs. Shared skills, subagents, and hooks that encode Baseten workflows. Sandboxed environments where agents can build and test safely.
The golden path — Project templates and onboarding that ship with AI tooling configured and working. Self-serve infrastructure so teams build their own agents without you as the bottleneck. Gateway, auth, cost controls, and audit logging for internal model access.
The feedback loop — Eval harnesses that answer "is this config better than that one" against real Baseten tasks, not vibes. Instrumentation of AI tool usage and its downstream effects on cycle time, review latency, and change failure rate. Honest reporting, including on what you built that didn't pan out.
Agents in the SDLC — Automation where agents earn their keep: PR review triage, test gap-filling, incident context assembly, migrations and refactors, codebase Q&A. Integrating agents into CI/CD with guardrails that make it trustworthy.
RESPONSIBILITIES
- Own the internal AI developer platform end to end — architecture, build, rollout, operation, measurement.
- Evaluate and integrate third-party AI coding tools (Claude Code, Cursor, Codex, and whatever ships next quarter), and build the context layer that makes them work against our monorepo.
- Build frameworks that let other engineers create their own agents without deep LLM expertise.
- Establish the evaluation practice for AI-assisted development at Baseten, and use it to drive investment decisions.
- Drive adoption through developer experience — good defaults, clear docs, low friction — not mandate.
- Embed with teams to find where AI genuinely unblocks them, then generalize those wins into platform capabilities.
- Own the safety layer: permissions, secrets handling, audit trails, cost management.
REQUIREMENTS
- Have 4+ years of relevant industry experience building and enabling AI native SDLC
- Strong proficiency in Python and/or Go, building tools other engineers depend on daily.
- Hands-on experience with LLMs and agent frameworks — tool calling, MCP, context management, orchestration, failure handling. You've shipped something agentic that real people used, not just prototyped.
- Deep personal fluency with AI coding tools and well-formed opinions about where they break down.
- Platform mindset: you build for adoption and self-service, treat internal engineers as customers, and would rather ship a good default than write a style guide.
- Developer tooling, CI/CD, and Kubernetes/Docker fundamentals.
- Comfort with ambiguity — this space invalidates its own best practices every few months.
- Excellent written communication. Much of your leverage is docs, templates, and examples that scale beyond conversations you're in.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: San Francisco; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Baseten is seeking talented and experienced Software Engineers to join our Platform team within the Infrastructure organization. As a member of Baseten's Platform Team, you will own the systems that let every engineer at Baseten prove their code works before it reaches production. Our product runs mission-critical AI inference for customers who measure downtime in dollars per second, which means our internal bar for correctness, performance, and failure tolerance has to be exceptional.
Your focus is the full testing stack: fast and reliable unit test tooling, integration harnesses that spin up realistic environments on demand, load and performance testing for GPU-backed inference workloads, and resilience testing that deliberately breaks things so our customers never have to find out what happens when a node dies mid-request. This is a builder role with org-wide leverage. You won't be writing tests for other teams — you'll be building the frameworks, harnesses, and feedback loops that make writing good tests the path of least resistance, and you'll set the standards for what "well-tested" means at Baseten.
RESPONSIBILITIES
- Own Baseten's testing strategy end to end — define the standards, the tiers, and the tooling that engineering teams build against.
- Build and maintain unit, integration, load and performance testing frameworks
- Design end to end test infrastructure that provisions realistic dependencies on demand — ephemeral Kubernetes namespaces, containerized service dependencies, etc.
- Build resilience and chaos testing capabilities: fault injection, network partition and latency simulation, pod and node failure scenarios, dependency degradation, and automated verification that our systems degrade gracefully and recover.
- Attack test suite reliability head-on — flake detection and quarantine, test impact analysis and selective execution, parallelization, and aggressive reduction of end-to-end CI wall time.
- Build observability into the testing layer itself: coverage reporting, test health dashboards, failure triage tooling, and clear signals about which areas of the codebase are under-tested.
- Create project templates and shared libraries so new services start with a complete testing setup on day one.
- Partner directly with product and infrastructure teams — embed where needed, understand their hardest testing problems, and turn one-off solutions into platform capabilities.
- Mentor engineers across the org on testing practice and raise the collective bar through code review, documentation, and internal advocacy.
REQUIREMENTS
- Strong proficiency in Go and/or Python, with hands-on experience building test tooling and libraries used by other engineers.
- Deep experience with testing frameworks and their internals — pytest, Go's testing package, testify, testcontainers, or equivalents — including the ability to extend them, not just use them.
- Experience designing integration test infrastructure for distributed systems, including ephemeral environment provisioning and dependency management.
- Practical experience with load and performance testing tools (k6, Locust, Vegeta, JMeter, Gatling, or similar) and the judgment to interpret results and drive action from them.
- Solid Kubernetes and Docker fundamentals — you can build test infrastructure that runs on and tests against real cluster environments.
- Advanced understanding of CI/CD, including how to keep large test suites fast, deterministic, and trustworthy at scale.
- A track record of measurably improving testing culture on an engineering team — you have opinions on what to test, what not to test, and where the ROI actually is.
- Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
ГибридSan Francisco; New York
УдалённоseniorRemote, South Korea
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоseniorRemote, United States; Candidates who reason only from feature lists outward are not a fit
УдалённоEMEA
ОфисSan Francisco, CA; New York, NY
География найма не уточнена
ОфисEspoo
San Francisco, CA | New York City, NY
ГибридNew York, NY (HQ); Relocation expense coverage to NYC or SF (if needed)
УдалённоseniorUnited 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; Seattle, WA; New York, NY; San Francisco, CA; Lastly, the provided range is the expected salary for candidates in the U.S
Bengaluru, Karnataka, India, APAC
New York City, NY; San Francisco, CA; Seattle, WA; Washington, DC
ГибридSan Francisco; Toronto; New York; Montreal; Seattle
ГибридSan Francisco; Toronto; New York; Montreal; Seattle
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