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
.
УдалённоseniorRemote, United States; Candidates who reason only from feature lists outward are not a fit
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: London
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role Overview:
Building AI agents that can assist with any kind of enterprise work is a challenging, open-ended problem. One key piece of solving it is replicating real work environments as realistically as possible - filling them with hard tasks to solve, creating plausible input data, and defining clear rewards for completing the work the right way. We build many of these reinforcement learning (RL) environments, then drop our agents into them to evaluate or train them.
In this role, you are responsible for creating these RL environments, running AI agents inside them, and improving both the agents and the environments in the process. The results reach customers, whose feedback feeds back in - and the agent/environment improvement loop continues.
Key Responsibilities:
There are many open problems in this space. As a Member of Technical Staff, RL Environments, you will:
- Build new RL environments targeting different agentic capabilities and industry areas
- Train and evaluate agents in those environments
- Make all the pieces work together: tasks, data, tool implementations, and verifiers
- Work across modeling and product to identify gaps in agent performance, and improve both the agents and the environments
- Work with external vendors to create high-quality, expert-built RL environments, and build tools to ensure high task, data, and verifier quality
- Automate the discovery of model capability gaps, and systematically measure agent performance during evals and training
Qualifications:
You may be a good fit if:
- You have engineered agents and optimized them for specific industry use cases
- You have spent dozens of hours reviewing agent trajectories to pinpoint exact failure points and fix them with model training or harness engineering
- You obsess over measuring agentic capabilities and turning that into a repeatable process
- You have had many debates about what a good outcome from an AI agent should look like, you translated that into verifier implementations and tuned the reward designs
- You have designed and run annotation workflows to surface insights into agent performance and verify data quality
- You have built synthetic data pipelines to scale eval and training efforts
- You use agents yourself in your daily work, and have stories about how you improved your setup to 10x your productivity
- A plus: you have experience with training with RL: scaling, troubleshooting and tuning the environments
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply.
Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Munich, Germany
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.
As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.
Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.
You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.
Responsibilities
Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.
Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.
Provide white glove deployment support for Anthropic products in enterprise environments.
Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.
Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.
Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
Travel frequently (25-50%) to customer sites to build in person with customers.
Be a champion for Anthropic’s mission in the field.
You May Be a Good Fit If You Have
8+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.
Native German speaker with fluent English proficiency
Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications
High agency with an ability to navigate ambiguity present in complex organizations.
High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.
Passion for advancing safe, beneficial AI systems through creative technical applications.
Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.
A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.
Experience with enterprise IT systems and/or AI deployment patterns is a plus.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Paris, France
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.
En tant que membre de l'équipe Applied AI d'Anthropic, vous serez ingénieur en déploiement avancé (FDE) qui s'engage directement auprès de nos clients les plus stratégiques pour favoriser l'adoption de l'IA transformationnelle. Vous collaborerez étroitement avec les équipes de clients pour livrer des applications d'IA avancées qui résolvent des problèmes commerciaux réels. Nos FDE interagissent avec les clients pour accélérer l'adoption des produits existants et créer de nouvelles applications basées sur nos modèles.
En travaillant en étroite collaboration avec nos équipes post-vente, produit et ingénierie, vous combinerez expertise en ingénierie, compréhension des applications IA de pointe et compétences en contact avec la clientèle pour comprendre les flux de travail clients et développer des solutions innovantes qui répondent à des défis commerciaux complexes tout en respectant nos normes élevées de sécurité et de fiabilité.
Vous serez à la pointe des déploiements d'IA en entreprise et vous serez l'une de nos fondatrices FDE qui contribue à façonner notre mouvement de déploiement vers l'avant. Nous attendons de nos FDE qu'ils travaillent de manière autonome, qu'ils s'épanouissent dans l'ambiguïté et qu'ils représentent Anthropic au plus haut niveau dans l'environnement de nos clients. Il s'agit d'une responsabilité importante : vous jouerez un rôle clé en défendant notre mission au sein de l'entreprise.
Responsabilités
Travailler au sein des systèmes clients pour développer des applications de production avec les modèles Claude, en veillant à ce que ces produits répondent aux exigences des clients.
Fournir aux clients des artefacts techniques tels que des serveurs MCP, des sous-agents et des compétences d'agent qui seront utilisés dans les flux de travail de production.
Fournir une assistance au déploiement des produits Anthropic dans les environnements d'entreprise.
Identifier et codifier des modèles de déploiement reproductibles et fournir des informations à nos équipes Produit et Ingénierie.
Maintenir une connaissance approfondie des derniers développements en matière de capacités des LLM, de modèles de mise en œuvre et de piles technologiques de développement de produits d'IA.
Établir des relations à long terme avec les clients et identifier de manière proactive de nouvelles opportunités de déploiement de l'IA tout au long du cycle de vie d'un engagement.
Se déplacer fréquemment (25 à 50 %) sur les sites des clients afin de nouer des relations personnelles avec eux.
Être un champion de la mission d'Anthropic sur le terrain.
Profil recherché :
Vous avez plus de 8 ans d'expérience dans un poste technique en contact avec la clientèle, par exemple en tant qu'ingénieur en déploiement avancé, ou en tant qu'ingénieur logiciel avec une expérience de conseil. Les anciens fondateurs techniques sont également encouragés à poser leur candidature.
Vous avez de l'expérience en production avec des LLM, incluant l'ingénierie avancée des prompts, le développement d'agents, les cadres d'évaluation et le déploiement à grande échelle.
Vous avez de solides compétences en programmation avec une maîtrise de Python (et idéalement d'un ou plusieurs autres langages comme TypeScript, Java, etc.) et une expérience de l'expédition d'applications de production.
Haute capacité d'action, capable de surmonter l'ambiguïté qui caractérise les organisations complexes.
• Esprit de coopération élevé pour la collaboration inter-organisationnelle, équilibrant les priorités concurrentes avec intégrité.
• Passion pour la promotion de systèmes d'IA sûrs et bénéfiques à travers des applications techniques créatives.
• Solides compétences en communication pour mener des discussions exploratoires avec les clients et transmettre des concepts techniques à divers intervenants tout en conservant une attitude humble et collaborative.
• Une expérience dans le domaine des services financiers, des soins de santé/sciences de la vie ou d'un autre secteur d'activité est un atout.
• Une expérience des systèmes informatiques d'entreprise et/ou des modèles de déploiement de l'IA est un atout.
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.
Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.
You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.
Responsibilities
Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.
Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.
Provide white glove deployment support for Anthropic products in enterprise environments.
Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.
Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.
Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
Travel frequently (25-50%) to customer sites to build in person with customers.
Be a champion for Anthropic’s mission in the field.
You May Be a Good Fit If You Have
8+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.
Native French speaker with fluent English proficiency
Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications
High agency with an ability to navigate ambiguity present in complex organizations.
High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.
Passion for advancing safe, beneficial AI systems through creative technical applications.
Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.
A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.
Experience with enterprise IT systems and/or AI deployment patterns is a plus.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Novi Sad, South Bačka, Serbia, EMEA
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
The mission of the Engineering Program Management Office (PMO) is to implement program and project management methodologies that enable Fivetran to deliver complex products and initiatives on time and within expectations. In addition, the Engineering PMO serves as the subject-matter expert on project and program management standards, directing a department-wide approach to project delivery and communication. You will help plan, track, and execute the company's most critical and cross-cutting product and engineering objectives. You will be responsible for leading cross-functional teams, managing complex programs and projects, and ensuring the timely delivery of high-quality solutions that meet the needs of our customers. You will communicate and work in close collaboration with partners across the engineering team as well as other business partners to achieve this vision.
This is a full-time position based out of our
Novi Sad, Serbia office
.
Technologies You'll Use
G Suite, AI LLM and Agents (Claude Code, Gemini, ChatGPT, and similar), Jira, Looker, Graphana, Lucid Charts, Workday, Sigma, Figma.
What You’ll Do
Program/Project Management
Manage key engineering projects, and/or programs, or initiatives from initiation to closing.
Provide regular status updates on a variety of internal channels to all levels of the organization.
Define program charters, plans, and schedules. Drive Program execution.
Drive Product representatives in providing timely direction and requirements.
Lead internal cross-functional teams in engineering and validation activities.
Ensure tight inter-team coordination and communication.
Digest, understand, and communicate complex, technical/engineering issues.
Identify and resolve conflicts or issues quickly, efficiently, and effectively.
Surface and mitigate risks or defects, and lead technical task forces to ensure proper risk responses or issue resolution.
Manage interdependencies across multiple engineering disciplines and stakeholders, including platform, SRE, & QA.
Develop creative solutions, remove obstacles, and redefine approaches to balance cost, quality, and delivery priorities.
Work closely with product management, data analytics, enablement & support.
Define and own specific program metrics and objectives.
Track and report on PMO KPIs.
Process Improvement
Act as a role model for project management processes.
Surface feedback and enhancement to processes.
Align stakeholders and team members towards project management best practices.
Skills We’re Looking For
2+ years of experience in a technical position (software engineer, QE, platform engineer, etc.)
6+ years of experience in technical project/program management
Software project management experience is a strong plus
Agile and waterfall project/program management experience
Familiarity with project management tools like Jira, Trello
Can lead large and complex initiatives with minimal oversight.
Can introduce structure and order in volatile conditions.
Can clarify vague goals and requirements.
AI LLMs and AI Agents usage proficiency.
In-depth knowledge of the technologies and methodologies used in program management.
Ability to work directly with senior leadership on programs, including leading R&D-wide (engineering, product, design, security) initiatives from start to finish.
You can facilitate discussions with engineering subject-matter experts on topics such as System Design, Data Architecture, Infrastructure Management (including cost management), and Quality in the context of engineering operations.
Ability to leverage AI to increase your own productivity and leverage it in the solutions you’re building.
Excellent verbal and written communication and presentation skills with the ability to interact and collaborate with technical and non-technical groups at all levels.
A data-driven and action-oriented mindset with excellent planning, analytical, problem-solving, project/program management, organizational, and leadership skills.
Proficient in addressing technical issues and providing effective mitigation plans.
Can align team members to program goals and objectives.
Conveys a clear understanding of how own activities relate to critical business drivers.
Discourages “us vs them” thinking in self and others.
Stays calm and professional even when situations become difficult.
Bonus Skills
Start-up experience a strong plus
PMP certification is a plus
Familiarity with the following technologies is a plus: Cloud service providers (AWS, GCP, Azure), ETL or ELT, modern data stack.
#LI-NR1
#LI-HYBRID
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: Ukraine
Workplace: remote
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for an Agile Coach to join our Engineering department and help strengthen agile ways of working across multiple teams. In this role, you will foster greater team maturity, autonomy, and continuous improvement, enabling scalable agility and driving more effective, sustainable value delivery across Engineering.Requirements:3+ years of experience working with teams in Scrum environments (for external candidates).Strong knowledge of Agile frameworks (Scrum/Kanban/Lean) and context-based application.Deep understanding of the Software & Product Development Lifecycle and engineering practices (XP as a plus).Strong facilitation, coaching, and mentoring skills (incl. adult learning/training).Proven ability in systems thinking, working across multiple teams and departments.Experience in conflict management, feedback culture, and trust-based relationships.Data-informed improvement mindset: EBM, metrics, forecasting, strong remote collaboration skills.Proficiency in English and Ukrainian languages.Responsibilities:Grow mature, self-managing teams that own their process, decisions, and outcomes.Coach engineering and product roles to make decisions together, without depending on any single point of drive.Partner with product management on scope and clear goals.Facilitate the hard conversations a team cannot yet run — and hand facilitation back.Diagnose what blocks team autonomy and address it with evidence, not opinions.Use AI in your own coaching practice.Escalate systemic blockers above the team level with data and a proposed direction.Support org-wide change initiatives.What to expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type
Who We’re Looking For:
We are looking for an Agile Coach to join our Engineering department and help strengthen agile ways of working across multiple teams. In this role, you will foster greater team maturity, autonomy, and continuous improvement, enabling scalable agility and driving more effective, sustainable value delivery across Engineering.
Requirements:
-3+ years of experience working with teams in Scrum environments (for external candidates).
-Strong knowledge of Agile frameworks (Scrum/Kanban/Lean) and context-based application.
-Deep understanding of the Software & Product Development Lifecycle and engineering practices (XP as a plus).
-Strong facilitation, coaching, and mentoring skills (incl. adult learning/training).
-Proven ability in systems thinking, working across multiple teams and departments.
-Experience in conflict management, feedback culture, and trust-based relationships.
-Data-informed improvement mindset: EBM, metrics, forecasting, strong remote collaboration skills.
-Proficiency in English and Ukrainian languages.
Responsibilities:
-Grow mature, self-managing teams that own their process, decisions, and outcomes.
-Coach engineering and product roles to make decisions together, without depending on any single point of drive.
-Partner with product management on scope and clear goals.
-Facilitate the hard conversations a team cannot yet run — and hand facilitation back.
-Diagnose what blocks team autonomy and address it with evidence, not opinions.
-Use AI in your own coaching practice.
-Escalate systemic blockers above the team level with data and a proposed direction.
-Support org-wide change initiatives.
What to expect from us:
-Growth & Development:
Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
-Flexibility & Well-Being:
We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
-Recognition & Impact:
A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
-Innovative Culture:
Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
-Benefits & Rewards Package:
We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type
Location: Remote, Singapore
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 Solutions Architect based in Singapore (reporting to the Asia Solutions Architect Manager), you'll join GitLab's Asia team as the trusted advisor to prospects, customers and partners across the region, helping them understand how GitLab's AI-powered DevSecOps platform addresses both technical requirements and business objectives across the entire software development lifecycle.
You'll guide organisations through their digital transformation journeys, from planning through monitoring, using your technical and AI expertise, understanding of cloud and modern software development practices, and strong customer empathy.
Partnering closely with your peers, Account Executives and cross-functional teams, you'll own technical evaluations, including proofs of value and workshops, shape solution architectures, and serve as the voice of the customer back to Product Management. You'll drive successful platform adoption, influence revenue growth through solution and value selling, and build long-term, trust-based relationships that showcase GitLab's differentiated position in an AI-driven DevSecOps landscape.
What you'll do
Lead technical discovery, demos, and validation to show how GitLab's AI-powered DevSecOps platform meets customers' technical and business needs across the full lifecycle.
Drive the technical evaluation process as the directly responsible individual, including solution design, proof of concept or proof of value ownership, workshop design, and the technical components of tenders, audits, and value stream assessments.
Collaborate with Account Executives and the broader go-to-market team across Asia to shape and execute account strategies that support new customer acquisition and expansion.
Build and deepen relationships with technical practitioners and business leaders, guiding them through GitLab-driven transformation and enabling them to become GitLab advocates.
Advise customers on modern software development, continuous integration, continuous deployment, security, and cloud practices, challenging existing approaches to improve return on investment.
Serve as the voice of the customer with Product Management, Engineering, Sales, and Marketing by sharing feedback, use cases, and competitive insights that inform roadmap and positioning.
Maintain and expand your technical expertise in GitLab, DevSecOps, AI, and related cloud technologies by creating reusable examples, best-practice guidance, and technical collateral for customers and partners.
Invest in your growth and development through ongoing learning, mentorship, and knowledge sharing to improve the Solutions Architect team's impact continuously.
What you'll bring
Experience engaging with customers in technical pre-sales, consulting, or similar roles, guiding them through solution design and evaluation.
Proficiency with the end-to-end software development lifecycle, including modern DevSecOps practices, continuous integration and continuous deployment workflows, and the application of Generative and Agentic AI within software delivery.
Hands-on experience with GitLab or comparable source control, continuous integration and continuous deployment, and collaboration platforms, and the ability to map platform capabilities to customer use cases.
Practical knowledge of cloud computing concepts and related technologies, with the ability to discuss deployment, security, and operations options with technical teams.
Ability to lead technical evaluations such as proofs of concept or proofs of value, contribute to tenders or audits, and design and run workshops or value stream assessments.
Clear technical communication and presentation skills, with the ability to adapt messages for practitioners through to senior business and technical decision makers.
Fluent Mandarin language skills are required for this role, with the ability to engage stakeholders from C-level executives through to end-user buyers confidently. This role covers markets where Mandarin is essential to effective customer engagement, primarily Singapore and Taiwan.
Skill in building trusted relationships, listening with empathy, and acting as a customer advocate to internal teams such as Product, Engineering, Sales, and Marketing.
Motivation to continuously develop professionally, including learning new technologies, deepening GitLab platform expertise, and applying transferable experience from related fields.
About the team
The Solutions Architect team is part of GitLab's Sales organisation and serves as the technical counterpart to Account Executives, with this role focused on opportunities across Asia and reporting to the Asia Solutions Architect Manager. The team helps customers realise the full value of GitLab's AI-powered DevSecOps platform by advising on architecture, running technical evaluations such as proofs of value, and guiding customers through digital transformation. We work closely with Sales, Product Management, Engineering, and Marketing, collaborating asynchronously across regions to share best practices, create reusable technical collateral, and act as the voice of the customer. The team helps customers modernise end-to-end software delivery, adopt GitLab at scale, and navigate a rapidly evolving AI and DevSecOps landscape.
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: 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
Claude serves millions of individual users alongside enterprise clients. Safeguards Engineering develops the foundational infrastructure that ensures its safe use: robust access controls, active abuse detection, real-time probes and classifiers within the inference pipeline, offline monitoring for review, and the underlying systems powering it all. Operating at scale and velocity, we continuously adapt to technology whose capabilities and risks evolve weekly.
The Safeguards Data team owns the data lifecycle for Safeguards—routing user data and safety metadata from online systems into offline storage and enabling access for downstream teams. Our goal is to provide privacy-safe access to sensitive data for approved uses while ensuring performance, reliability, and minimal blast radius. We prioritize security by design, embedding controls directly into systems operating across AWS, GCP, Azure, and customer-managed environments.
This is a systems engineering position within a small, newly established team. Rather than managing an existing backlog, you will have the autonomy to own a problem domain, establish its technical vision, and shape the team's trajectory.
Key responsibilities
Design, build, and operate the stores, pipelines, schemas, and APIs that Safeguards' detection, evaluation, investigation, and review systems read from.
Build privacy-safe interfaces that allow ML training, evaluation, and investigation workflows to utilize sensitive data without requiring broad access to raw records, ensuring access is tied to purpose and built-in lineage.
Scale the distributed storage, ingestion, and processing systems operated by Safeguards, maintaining cost efficiency, reliability, and portability across deployment environments.
Collaborate with investigators, researchers, legal, privacy, and security teams to translate operational requirements into functional mechanisms and systems for safe data utilization.
Uphold a high operational bar by participating in the on-call rotation, leading incident reviews, and continuously reducing manual operational overhead.
Lead through technical design by authoring foundational proposals and conducting cross-team architectural reviews.
Minimum qualifications
Have strong systems fundamentals (processes, threads, RPC, storage, and how systems fail) and have built and operated large-scale, fault-tolerant distributed systems
Have built and operated systems that handle sensitive or high-value data, with access, privacy, retention and security controls designed in from the start
Have a track record of building platforms or internal tooling that other teams widely adopt
Have led the technical design of projects that span several engineers or teams
Learn quickly and adapt: you're comfortable with ambiguity, a fast pace, and systems or languages you haven't used before
Care about the impact of your work and about making AI safe, use good judgment about what matters most, and can explain technical trade-offs to non-technical partners
Preferred qualifications
Proficiency in one or more systems languages (e.g., C, C++, Rust, Go)
8+ years of experience as a software engineer, and a Bachelor's degree in Computer Science, Software Engineering or comparable professional experience
Experience building data infrastructure for ML: training datasets, offline batch inference or evaluation
Experience with data governance requirements in a regulated or high-sensitivity domain
Fluency with agentic coding tools such as Claude Code
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York, NY
Workplace: OnSite
About the Company
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
Our Ethos
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
About the Team
Product Marketing sits within Rain's Marketing & Communications team and owns how we bring Rain's card issuing and stablecoin infrastructure to market. The Cards product pillar is our longest-standing product, and includes stablecoin cards that work across the Visa and Mastercard networks, onchain rewards infrastructure that drives loyalty, and thoughtfully crafted capabilities, like scoped cards, that support agentic payments as agents take on more of the world's transacting. Reporting to our founding PMM, you'll help build the positioning, enablement, and market intelligence that keep Rain ahead as this category gets more crowded.
What you’ll do
- Own go-to-market for new card-related product and feature launches, from positioning through rollout
- Build and maintain revenue enablement for both Business Development and post-sales Platform teams, including pitch decks, case studies, and sell sheets, as well as internal training
- Partner closely with Product, Engineering, Compliance, and Legal to translate card program mechanics like interchange, network rules, program economics, and agentic use cases into materials teams can act on
- Track issuers and networks entering the stablecoin card space in key global markets and give internal teams a clear point of view on how Rain wins
- Build and run training for Business Development and post-sales Platform teams on card issuing fundamentals so they can sell and support credibly
- Represent the voice of the customer back to Product and Engineering to shape roadmap priorities
You are likely to succeed if you have:
- 3-7+ years in product marketing, product management, or sales enablement at a card network, issuer, processor, or program manager (not a fintech or neobank that simply offered a card to consumers)
- Deep knowledge of card issuing economics, including interchange, network fees, program management, and compliance
- A track record selling or marketing card programs to enterprise-level companies
- Genuine interest in agentic payments and how cards like Rain's scoped cards will become a primary way agents transact
- Comfort working cross-functionally with Product, Engineering, Compliance, and Legal in a fast-moving environment
- Strong writing and communication skills, with the ability to make technical and regulatory complexity clear
Bonus attributes:
- Existing relationships across the card issuing and network ecosystem
- Familiarity with agentic commerce, AI agents, or emerging payment rails
Things that enable a fulfilling, healthy and happy experience at Rain:
Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Location: New York, NY
Workplace: OnSite
About the Company
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
Our Ethos
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
About the Team
Product Marketing sits within Rain's Marketing & Communications team and owns how we bring Rain's infrastructure to market. The Money Movement line covers onramps, offramps, and payments, the connective tissue between onchain and the world's banking rails. As the world moves onchain, this team's job is to make clear how Rain bridges stablecoins with the rails enterprises already trust, from ACH and SEPA to SWIFT, Fedwire, and local real-time payment schemes. Reporting to our founding PMM, you'll help build the positioning, enablement, and market intelligence that keep Rain ahead as this category matures.
What you’ll do
- Own go-to-market for new onramp, offramp, and payments product and feature launches, from positioning through rollout
- Build and maintain revenue enablement for both Business Development and post-sales Platform teams, including pitch decks, case studies, and sell sheets, as well as internal training
- Partner closely with Product, Engineering, Compliance, and Legal to translate money movement mechanics like liquidity, settlement, FX, and cross-border regulatory nuance into materials teams can act on
- Track banking rails and payment schemes around the world, including ACH, SEPA, SWIFT, Fedwire, and regional real-time payment systems, and explain how Rain connects to each
- Track competitors in the stablecoin on/offramp space and give internal teams a clear point of view on how Rain wins
- Represent the voice of the customer back to Product and Engineering to shape roadmap priorities
You are likely to succeed if you have:
- 3-7+ years in product marketing, product management, or sales enablement at a payments company, bank, or money transmitter working directly with cross-border rails and settlement
- Deep knowledge of banking rails and payment schemes around the world, including ACH, SEPA, SWIFT, Fedwire, and regional real-time payment systems
- A track record selling or marketing payments infrastructure to enterprise-level companies
- Genuine interest in how stablecoins and onchain rails are reshaping global money movement
- Comfort working cross-functionally with Product, Engineering, Compliance, and Legal in a fast-moving environment
- Strong writing and communication skills, with the ability to make technical and regulatory complexity clear
Bonus attributes:
- Experience with FX and treasury operations across multiple currencies
- Existing relationships across banks, payment processors, or correspondent banking networks
- Familiarity with stablecoins, blockchain settlement, or onchain payment rails
Things that enable a fulfilling, healthy and happy experience at Rain:
Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Location: New York, NY
Workplace: OnSite
About the Company
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
ABOUT THE ROLE
Rain is hiring a Senior Product Manager to own our onchain surface — the blockchain layer that everything else at Rain depends on. Stablecoins only work as real-world money if the onchain side is fast, safe, and invisible: collateral held in contracts, settlement across chains, custody and wallet architecture, and the asset and network coverage our partners need to operate globally. This role owns that.
This is a senior individual contributor role. You'll be the directly responsible PM for onchain end to end: smart contracts and protocol design, chain and asset integrations, settlement and treasury flows, and the infrastructure underneath it all. You'll work closely with engineering, security, compliance, legal, and directly with our fintech, neobank, and institutional partners.
WHAT YOU'LL DO
- Own the roadmap for Rain's onchain product — smart contracts, chain and asset coverage, settlement, and payments — and drive it end to end
- Partner deeply with engineering on protocol and infrastructure tradeoffs (contract architecture and upgradeability, collateralization and liquidation logic, node/RPC reliability, gas and fee strategy, bridging and cross-chain messaging) and translate them into partner-facing product decisions
- Decide which chains, assets, and stablecoins Rain supports and when — build the framework for those calls across liquidity, security, cost, partner demand, compliance considerations, and regulatory exposure
- Drive the security bar for onchain work — audits, monitoring, incident response, and the operational guardrails that go with holding real value onchain
- Translate complex protocol and blockchain infrastructure into intuitive product surfaces and clear partner-facing documentation
- Gather feedback directly from partners, distill it into sharp prioritization, and push the team toward the highest-leverage work
- Measure ruthlessly, iterate quickly, and set a bar others want to work to
WHAT WE'RE LOOKING FOR
- 8-10 years of product management experience, with a track record of shipping products from zero-to-one through scale at a product-led company with a strong engineering culture and high bar for quality
- Deep, hands-on blockchain fluency — you've shipped onchain products and can reason unaided about EVM and Solana mechanics (and other chains), smart contract design and upgrade patterns, gas economics, bridging models, and other onchain tradeoffs
- Exceptional product judgment and analytical rigor — you're someone others describe as one of the sharpest PMs they've worked with, and you consistently raise the bar for the people around you
- A senior, autonomous operator who can define the problem, drive the plan, and own the outcome without needing close direction
- Sound instincts on onchain security and risk: you know where value gets lost, you push for audits and monitoring before incidents rather than after, and you can weigh a shipping deadline against a real risk without flinching
- Strong technical fluency beyond the chain itself (APIs, distributed systems, payments and ledger design) and the instinct to pull on technical threads yourself rather than defer to engineering
- Genuinely excited to live in the details — you believe product quality is won in the specifics and are energized by the work to get them right
- Excellent written and verbal communication; you can operate with sophisticated external partners and internal engineering teams with equal ease
- Proven ability to ship quickly, measure adoption, and iterate in a fast-moving environment
NICE TO HAVE, BUT NOT MANDATORY
- Experience with stablecoin issuance, onchain lending or collateralized credit, or tokenized asset products
- Background at a protocol, L1/L2, wallet, custodian, or onchain infrastructure company
- Familiarity with non-EVM ecosystems (Solana, Tron, Bitcoin L2s) and multi-chain operations at scale
- Experience with payments, card issuing, or cross-border fintech products
- Working knowledge of the regulatory landscape around digital assets and custody
- Previous startup or hypergrowth environment experience
Things that enable a fulfilling, healthy, and happy experience at Rain:
Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Location: Home Based - Americas; Home Based - APAC; Home based - EMEA
With
more than 10 billion pulls
, Canonical's container images are trusted by developers worldwide to build and run software securely and at scale. That trust rests on our commitment to
hardened, production-ready
images.
We are advancing the state of the art with a
new generation of Ubuntu-based container images
we call "rocks": minimal images engineered for performance and usability and backed by long-term security commitments. As a member of the team, you will own the path from upstream source to published image, turning open source software into tested, signed, and continuously maintained artifacts that developers can deploy with confidence.
This is fast-paced, multi-disciplinary software engineering. Because most of the software we package originates from third-party upstreams, you will work across a broad range of container technologies and hundreds of open source projects, often in several programming languages, integrating and maintaining them so they are easy to consume on Ubuntu. Automation is central to the role: you will build the pipelines that package, build, test, and publish images at scale.
Your seniority in this role will reflect your software engineering experience and your ability to mentor and guide more junior colleagues.
Location:
This is a globally remote role
This role entails
Build and maintain a growing portfolio of high-quality, hardened container images
Design and operate automated CI/CD pipelines that build, test, scan, sign, publish, promote, and retire images across environments and architectures
Write tooling and tests to assess security compliance and cloud-native compatibility
Work closely with the community and partners to share container expertise and keep our portfolio current with new features, patches, and applications
Collaborate with our product security, platform, infrastructure, and customer-facing teams
Contribute technical input to the team's decision-making
Set the standard for quality, defining image standards that span security, compatibility, performance, size, and developer experience
Grow our knowledge base and write about the work we do
Work in a collaborative, agile, and globally distributed environment
Mentor colleagues and contribute to hiring
Work from home with global travel of up to 15% for internal and external events
What we are looking for in you
Proficiency in Bash and Python
Experience working with CI/CD systems (e.g. GitHub Actions, Jenkins)
Experience building container images
Command of at least one container management or orchestration tool (e.g. Docker, Podman, or Kubernetes)
Hands-on experience with Linux systems, package management, build systems, release engineering, or artifact pipelines
Clear communication and end-to-end ownership, spanning design, review, documentation, operation, and cross-team collaboration
A commitment to sharing knowledge and helping those around you grow
A genuine appetite for learning and for working outside your comfort zone
A Bachelor's degree or equivalent in Computer Science, a STEM field, or a similar discipline
An exceptional academic track record from both high school and university
Business level written and spoken English.
Sincere personal motivation aligned with our mission.
International travel 2-4 times a year for company events up to two weeks long.
0-7 years relevant experience.
In addition we expect that you will match our values, by being:
Precise, taking care to deliver correctness and clarity.
Reliable, delivering high quality work that builds trust and confidence.
Accessible, collaborating to build products and systems that are usable.
Adroit, blending enthusiasm, knowledge, adaptability, style and character.
Nice-to-have skills
A security-oriented maintenance mindset: you can investigate dependency and vulnerability findings, assess their impact, and deliver a safe fix
An understanding of software supply chain security, with some experience generating and consuming artifacts such as SBOMs, signatures, provenance, or CVE reports
Familiarity with GitOps principles and workflows
Familiarity with additional languages such as Go or Rust
Hands-on experience building minimal and distroless container images
Knowledge of the OCI specifications
Familiarity with security or compliance frameworks such as CIS, NIST, FedRAMP, or DISA STIG
Evidence of contributions to open source projects
A passion for embedding security across all stages of the engineering lifecycle (DevSecOps), and an interest in using AI or agentic development responsibly and safely
Relevant Linux, container, or cloud-native certifications (such as CKS or DCA) are welcome
If your experience is close but does not match every requirement, we encourage you to apply. We value transferable experience from Linux packaging, release engineering, build systems, platform engineering, and open-source maintenance.
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Bi-annual compensation review
Company recognition rewards
40 days annual leave per annum, including public holidays and our All Company holiday periods
Maternity and paternity leave
Team Member Assistance Program & Wellness Platform
Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing.
Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration
.
Location: San Francisco, California
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
To be eligible for this role, you need to graduate in December 2026 and be able to start full time by January/February 2027.
WHAT YOU'LL ACHIEVE:
- You'll work with others to plan, shape, and build new product features from start to finish: through conception, research, implementation, and maintenance. For example, you might work on driving adoption, by instrumenting key onboarding moments and iterating on activation flows.
- You'll help improve performance and reliability, or polish existing features. For example, you might update our spell checker to sync dictionaries across browsers or improve search to index file attachments.
- You'll build internal tools to support simplicity and productivity for the whole team. This might include writing a script to import user feedback into Notion.
QUALIFICATIONS:
- Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field.
- To be eligible for this role, you need to graduate by Dec 2026 and be able to start FTE by January/February 2027.
- Previous internship experience.
- Working towards a proficiency of one or more programming languages such as TypeScript, Node.js, or Python.
SKILLS YOU'LL NEED TO BRING:
- Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends.
- You stay current with the latest tools like Codex, Claude Code, and other AI-assisted development environments. You're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users.
- Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck. You think about the implications of what you're building and how it will impact real people's lives.
- Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.
- Passion for web applications: You can work with others to build and maintain quality user interfaces for a big audience, using Web technologies like HTML, CSS, JavaScript, and a modern UI framework like React.
- Familiarity with backend systems: You understand how parts of a system fit together—from the user interface to the data model. Familiarity with database systems like Postgres, MySQL or MongoDB is a plus.
NICE TO HAVES:
- You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch.
- You’re a builder who finds joy in building software solutions for yourself or others.
- You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated salary range for this role is $135,000 - $155,000
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
This internship will take place from May 17 - August 6 or June 14 - Sept 3 (based on your summer schedule) and you will need to be able to work out of our NY or SF office during this time.
WHAT YOU'LL ACHIEVE:
- Write clean, secure, tested, and documented code.
- Design & enhance the Notion product with new capabilities with an AI first mindset
- Develop, fix and debug software for across our full stack: web services, databases, applications, tools while leveraging modern frameworks and tooling.
QUALIFICATIONS:
- Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field. Must graduate before Summer 2028.
- This internship will take place from May 17 - August 6 or June 14 - Sept 3 (based on your summer schedule) and you will need to be able to work out of our NY or SF office during this time.
- Previous internship experience.
- Working towards a proficiency of one or more programming languages such as Typescript, Node.js, or Python.
- You find large challenges exciting and enjoy discovering problems as much as solving them.
- You are able to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment.
SKILLS YOU’LL NEED TO BRING:
- Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck.
- Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad.
- Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go.
- Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed.
- Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.
- AI enthusiast: You have built or prototyped features with AI technologies (LLMs, Embeddings, ML) and are interested in learning more
NICE TO HAVES:
- You have expertise with specific technologies that are part of our stack, including Typescript, React, Python.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
- You have interests outside of technology, such as in art, history, or social sciences.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated hourly range for this role is $57/hr for Bachelors and $61/hr for Master’s.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
This internship will take place from January 25 - April 16 and you will need to be able to work out of our NY or SF office during this time.
WHAT YOU'LL ACHIEVE:
- Write clean, secure, tested, and documented code.
- Design & enhance the Notion product with new capabilities with an AI first mindset
- Develop, fix and debug software for across our full stack: web services, databases, applications, tools while leveraging modern frameworks and tooling.
QUALIFICATIONS:
- Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field. Must graduate before December 2027.
- This internship will take place from January 25 - April 16 and you will need to be able to work out of our NY or SF office during this time.
- Previous internship experience.
- Working towards a proficiency of one or more programming languages such as Typescript, Node.js, or Python.
- You find large challenges exciting and enjoy discovering problems as much as solving them.
- You are able to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment.
SKILLS YOU’LL NEED TO BRING:
- Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck.
- Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad.
- Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go.
- Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed.
- Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.
- AI enthusiast: You have built or prototyped features with AI technologies (LLMs, Embeddings, ML) and are interested in learning more
NICE TO HAVES:
- You have expertise with specific technologies that are part of our stack, including Typescript, React, Python.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
- You have interests outside of technology, such as in art, history, or social sciences.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated hourly range for this role is $57/hr for Bachelors and $61/hr for Master’s.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
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.
About the role
As a Senior Backend Engineer, you will design, implement, and evolve product capabilities while solving high-scope backend problems and influencing the technical and product direction of our teams. You will move beyond "assigned work" to actively improve the quality, reliability, and performance of our systems. You will work across product, frontend, infrastructure, data, and security boundaries, making sound architectural trade-offs, communicating complex ideas clearly in an asynchronous environment, and helping define the standards for a high-scale, global product.
Why you’ll love this role
High Impact:
You aren't just shipping features; you are shaping the architecture of a global platform used by millions.
Technical Agency:
You will influence team objectives, technical direction, and long-range goals, helping us solve problems of high scope and complexity.
Innovative Culture:
You will get to experiment with and integrate agentic AI into production engineering workflows, moving beyond simple prompt engineering to build resilient, AI-assisted systems.
Autonomy:
You will thrive in our remote-first, asynchronous organization, where clear written communication and self-direction are the pillars of success.
User-Centric Collaboration:
You’ll partner closely with PMs and designers to shape requirements, ensuring every technical decision delivers genuine value to our users.
What you’ll do
Drive Technical Direction:
Design and ship moderate to complex backend features with minimal guidance, making pragmatic choices between modular-monolith code, shared components, or independently operated services.
Raise the Bar:
Advocate for product quality, security, availability, and performance. You will define backend standards for style, maintainability, testing, APIs, and operational readiness.
Mentor & Lead:
Mentor associate and intermediate engineers, remove technical blockers, and improve team delivery practices through code and design reviews.
Operational Excellence:
Diagnose and prevent performance/reliability issues at scale. Participate in incident response and act as a technical owner where appropriate.
AI Integration:
Use AI in production engineering work to improve outcomes, evaluate its effectiveness, and coach others on responsible, high-judgment use.
What you’ll bring
Deep Backend Expertise:
A strong command of backend architecture, APIs, data systems, and performance tuning in a complex product or service environment.
Adaptability:
Proficiency in modern backend languages and a deep understanding of systems programming. We value the ability to learn and adapt over mastery of a single language.
Architectural Judgment:
Experience designing or evolving modular backend boundaries, bounded contexts, and migration-safe architectures.
Influence:
Ability to lead through influence, technical judgment, and clear written communication, effectively bridging the gap between product needs and technical reality.
Agentic AI Expertise:
Proven experience building or operating agentic systems in production—moving beyond prompt engineering to architecting loops, tool-use, and error-handling strategies that ensure reliability at scale.
Helpful experience
Experience with high-throughput distributed systems, concurrency, or profiling.
Hands-on experience with containerized production operations (e.g., Kubernetes).
Deep database performance knowledge (e.g., PostgreSQL, ClickHouse, schema evolution, partitioning).
Background in large-scale modular monoliths or event-driven systems.
Public technical communication, open-source maintenance, or experience in developer-focused SaaS.
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
.
ОфисSan Francisco, CA; New York, NY
ГибридLondon
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.