Location: United States; Remote
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
ROLE OVERVIEW
We’re looking for a Staff Frontend Engineer to lead the design and development of major frontend systems and product initiatives at ClickUp. You’ll work across teams to solve complex technical challenges, improve engineering velocity, and help shape the direction of our frontend architecture. This role is for someone who thrives in fast-paced environments, drives clarity in ambiguity, and can influence both technical decisions and execution across the organization.
WHAT YOU’LL DO
- Lead development of complex product features and frontend systems in Angular and React.
- Partner with backend, integrations, product, design, and QA to deliver high-quality user experiences at speed
- Architect scalable, reusable frontend patterns that improve product quality and developer velocity
- Identify and address performance bottlenecks, UI architecture issues, and scalability risks
- Drive engineering best practices across testing, observability, code quality, and maintainability
- Help teams make strong technical decisions under tight timelines and evolving priorities
- Own delivery across large initiatives, balancing immediate product needs with long-term technical health
- Mentor engineers and elevate frontend craftsmanship across the team
- Contribute to improving how frontend engineers work together across domains
QUALIFICATIONS
- 7+ years of frontend engineering experience, with deep expertise in Angular and React
- Strong command of TypeScript, RxJS, NgRx, and modern frontend architecture patterns
- Experience building reusable component systems and scalable frontend application structures
- Deep knowledge of performance optimization, debugging, and building for large-scale web applications
- Strong product sense and ability to work cross-functionally in a fast-moving company
- Demonstrated success leading major technical initiatives and influencing across teams
- Strong mentorship skills and a track record of leveling up other engineers
- Excellent communication and execution skills, especially in high-urgency environments
- Strong experience with unit, integration and end 2 end testing using jest, vilest, playwright or related frameworks and ability to come up with testing strategies.
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
УдалённоUnited States; Remote; ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com
Location: United States; Remote
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
ROLE OVERVIEW
We’re seeking a Principal Frontend Engineer to drive the long-term technical vision for frontend engineering at ClickUp. In this role, you will lead architectural strategy across major product surfaces, solve company-wide frontend challenges, and influence how teams build and ship at scale. You will partner deeply with engineering, product, design, backend, and integrations leadership to ensure ClickUp’s frontend systems remain fast, reliable, and adaptable as the business grows.
This is a hands-on technical leadership role for someone who can operate at both strategic and implementation levels, especially in a high-growth, fast-paced environment.
WHAT YOU’LL DO
- Define and drive frontend architecture strategy across product areas and platform investments
- Lead the design of scalable, performant systems in Angular and React that support rapid product development
- Solve complex cross-team technical challenges related to performance, state management, scalability, and developer productivity
- Partner with backend and integrations teams to shape end-to-end architecture for major features and systems
- Raise the bar for quality, testing, maintainability, and engineering rigor across the frontend organization
- Provide technical leadership on the highest-impact initiatives and unblock teams working through ambiguous or difficult problems
- Guide teams toward pragmatic decisions that support both speed and long-term product quality
- Mentor senior and staff engineers, and help shape frontend engineering culture and standards
- Influence roadmap and organizational decisions through strong technical judgment and product partnership
QUALIFICATIONS
- 10+ years of frontend engineering experience, including deep expertise in large-scale web applications
- Expert-level experience with Angular, React, TypeScript, RxJS, and NgRx or similar state management systems
- Proven track record of architecting complex frontend systems used by large numbers of users
- Deep expertise in performance optimization, frontend scalability, maintainable application design, and reusable component architecture
- Experience driving technical strategy across multiple teams or product areas
- Strong judgment in balancing speed, quality, and long-term architecture in fast-moving environments
- Outstanding communication and collaboration skills, with the ability to influence across functions and levels
- Strong mentoring background and passion for building high-performing engineering organizations
- Experience with testing infrastructure and ability to define testing strategies for large scale features changes.
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
Location: Dublin, IE
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Infrastructure organization builds and operates the compute that trains and serves our frontier models. Behind every cluster is a physical supply chain: servers, accelerators, networking equipment, spares, and tooling that have to be received, inspected, secured, tracked, and delivered to the right site at the right time. The Warehousing and Logistics team owns that flow, and this role builds the key capabilities and partnerships to scale these services with velocity.
As Warehouse and Logistics Capability Manager, you'll report to our Global Warehousing and Logistics Lead and own the design, and roll-out of key capabilities (selection of in-house or off-the-shelf tooling, process, and data integrity), implementation and integration with strategic partnerships to achieve global scale.
This is a strategic role on a small team, so you'll move between building the tooling, processes, controls, and metrics that let us scale as our hardware footprint grows. You should be comfortable making decisions with incomplete information, communicating clearly with engineers and vendors alike, and holding a high bar for supply chain and logistics capabilities.
Key responsibilities
Define the key requirements for new capabilities in collaboration with partner teams
Own the program management, selection and implementation of tools pertaining to warehouse, inventory, transport management etc., and their integration with internal and external tools
Enable expansion to new geographies with the right tools, processes, SOPs and data in conjunction with the operational warehouse managers
Conduct RFP where needed and drive tool selection and/or build in line with business requirements
Ensure third party vendor tools are fully integrated with Anthropic’s architecture and meet compliance, and regulatory requirements
Conduct full testing and effective adoption of new processes and tools, effectively managing risks and timely implementation
Develop/enhance reports on operational metrics such as receiving cycle time, inventory accuracy, on-time delivery, and freight cost, and use them to drive continuous improvement
Minimum qualifications
Experience managing warehouse or logistics operations for physical goods, including receiving, inventory control, and outbound shipping
Hands-on experience using and designing warehouse management and inventory management system, and comfort working in spreadsheets to analyze inventory and shipment data
Experience managing third-party logistics providers or carriers, including negotiating service levels and holding vendors accountable to them
Working knowledge of domestic freight (LTL, FTL, and parcel) and the documentation that goes with it
Familiarity with safety and regulatory requirements for shipping and storing IT or electronic equipment, such as hazardous materials rules for lithium batteries
Strong written and verbal communication skills, with the ability to coordinate across technical and non-technical teams and external partners
Demonstrated ability to build processes from scratch and keep operations running reliably as volume and complexity increase
Ability to travel to warehouse and data center sites in the US as needed
Preferred qualifications
Experience handling data center or enterprise IT hardware, including servers, GPUs or other accelerators, and networking equipment
Experience with international freight forwarding, customs brokerage, and export control requirements such as EAR
Experience with secure chain-of-custody programs, asset tagging, and data-bearing device sanitization or destruction
Experience directly managing warehouse staff or contract labor
Familiarity with ERP or procurement systems and how inventory data flows between them and warehouse systems
Experience with Agile development and frontier AI tools
Experience supporting rapid infrastructure buildouts, whether in cloud, telecom, or another hardware-intensive industry
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:
€225.000
—
€280.000 EUR
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Integrity & Compliance (I&C) function is building the systems that let us scale responsibly as our products reach more people, more enterprises, and more regulated industries. Our global compliance program is bespoke, reflecting our unique mission and position as one of the leading AI labs operating on the frontier.
Our Regulatory Programs pillar is a key pillar of our overall Integrity & Compliance function and covers a range of compliance domain areas including economic sanctions, US export controls, and regulatory compliance programs stemming from global content and AI regulation.
As Sanctions Compliance Lead, you will take day-to-day leadership of Anthropic's sanctions compliance program and support oversight of our export controls program, supporting the Regulatory Programs lead as a senior leader within the function. This is a leadership seat in a domain where the rules governing AI models and compute are still being written, and where sanctions exposure runs through globally accessible APIs, downstream and embedded-partner channels, and rapid geographic expansion.
You will own the sanctions program end to end: setting strategy and risk appetite with leadership, continuously assessing risk and driving remediation and program enhancements, governing our screening and enforcement controls, directing regulator-facing matters, and reporting on program health to I&C leadership and the Audit Committee. You will partner closely with our in-house Trade Compliance Counsel on interpretation of applicable law, represent the function with senior stakeholders, and lead and develop trade compliance professionals as the team grows. This is a builder's role at a company that takes integrity seriously and moves fast. You will exercise independent judgment on issues without clear precedent and build durable programs that let Anthropic move quickly while honoring its obligations to regulators, customers, and the public.
Key responsibilities
Lead Anthropic's sanctions compliance program, including strategy, risk appetite, policy frameworks, and the program roadmap, and keep them current as regulations and the business evolve
Represent the sanctions and export controls function with senior leadership and cross-functional partners, and step in for the Regulatory Programs lead across the function as needed
Continuously assess sanctions risk across products, channels, and markets, and own the remediation of identified issues and the delivery of program enhancements, in partnership with Legal, Internal Audit, Finance, and first-line teams
Direct regulator-facing matters, including voluntary self-disclosures, blocking and reject reports, licensing questions, and responses to regulator or third-party inquiries, in partnership with Trade Compliance Counsel and National Security Legal
Govern Anthropic's restricted-party screening and enforcement controls, including list configuration, thresholds, escalation criteria, vendor management, and exception review, in partnership with Regulatory Operations and Safeguards
Serve as the senior escalation point for complex sanctions matters surfaced by Safeguards, Threat Intelligence, Go-to-Market, and Finance, and set the standards by which first-line teams disposition and escalate cases
Advise business and product teams on sanctions and trade controls implications of commercial and geographic expansion, new products and channels, partnerships, and acquisitions, and translate findings into clear control requirements
Support oversight of the export controls program, partnering with the Sanctions & Export Controls Compliance Officer and Trade Compliance Counsel on program priorities, controls, and reporting
Prepare and deliver program reporting on health, key risks, and emerging issues for I&C and Legal leadership, the Audit Committee, and other governance forums
Monitor sanctions regulatory developments and enforcement actions, assess impact on Anthropic, and drive required program changes
Lead, mentor, and develop compliance team members, and help shape the structure of the function as it grows
Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Anthropic's discretion, or otherwise applicable with local law
Minimum qualifications
Substantive, hands-on experience leading an economic sanctions compliance program (OFAC, EU, UK, and other applicable regimes) in a commercial environment, including program design, policy ownership, and risk governance
Experience managing voluntary self-disclosures, blocking or reject reports, and other regulator filings end to end, including coordinating counsel, internal stakeholders, and remediation
Experience assessing sanctions risk on an ongoing basis and owning the remediation of identified issues and delivery of program enhancements through to closure
Experience governing a restricted-party screening program, including list scope, match thresholds, escalation criteria, and screening vendor management
A track record of reporting on program health and risk to senior leadership, an audit committee, or a board, and of driving decisions on risk appetite with executives
Working knowledge of US export controls (EAR and BIS rules) sufficient to oversee an export controls program and partner effectively with technical subject-matter experts
Experience partnering with in-house and outside counsel to interpret trade controls requirements and translating them into practical guidance for product, engineering, operations, and commercial teams
Excellent written and verbal communication skills, including drafting policy and preparing materials for senior leadership
Preferred qualifications
10+ years of relevant experience in economic sanctions compliance, including several years leading a program or team
Experience managing and developing compliance professionals
Experience conducting sanctions diligence for acquisitions, vendors, and third parties, including state-ownership and 50 percent rule analysis
Experience partnering with trust and safety, enforcement, or threat intelligence teams on account actions and sanctions escalations
Exposure to sanctions compliance in software, cloud, fintech, or AI contexts, including globally accessible platforms and downstream access risk
Prior experience in a Big 4 or other compliance consulting or advisory professional services firm, or at OFAC or another trade regulator
Experience in a hyper-scaling tech company or other fast-paced environment
Sound judgment and the ability to make risk-based decisions and move work forward with imperfect information
A leadership style characterized by integrity, humility, strategic thinking, and solution-orientation
Role-specific policy:
For this role, we expect staff to be able to work from either our Washington, DC, San Francisco, or New York City office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.
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:
$270,000
—
$345,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Paris; Amsterdam; Linz; Munich; London; Berlin
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
Mistral is looking for AI Scientists with deep expertise in engineering sciences and machine learning to push the frontier of AI-accelerated simulation. Within AI4Engineering Science, you will research and train foundational physics models which are substantially more capable than what exists today and can be fine-tuned for downstream applications by both customers and internal teams.
You will work across the full research stack: curating high-fidelity simulation datasets, designing and training novel model architectures, and rigorously evaluating them against real engineering validation standards.
Working closely with the broader research organization, you'll ensure the foundation models you build are general enough to become the backbone of many downstream products, not just a single point solution.
This role builds on a strong, world-class foundation, and the goal is to take it further. You'll work one vertical at a time toward foundation models that genuinely transfer and fine-tune across engineering tasks, with high-quality simulation data pipelines, physics-based evaluation, and uncertainty / out-of-distribution estimation as first-class concerns. There's no inherited playbook for most of what's left to do: you'll help define the architectures, training strategies, and validation standards the team builds on, not just extend an existing one.
WHAT YOU WILL DO
- Research and train novel foundation models for physics simulation, pushing past today's state of the art in accuracy, generalization, and scale
- Design and run large-scale simulation campaigns using domain-specific solvers to build the high-fidelity datasets foundational physics models need
- Investigate architectures and training strategies (e.g. multi-fidelity training, pretraining objectives, scaling behavior) that let a single foundation model transfer and fine-tune well across diverse engineering tasks
- Rigorously evaluate model coverage, accuracy, and robustness against industry validation standards, and diagnose failure modes arising from data gaps or architecture limitations
- Stay on top of the latest developments in the scientific community and contribute to Mistral's standing at the frontier of AI-for-engineering research
WHAT WE'RE LOOKING FOR
- PhD or Master's in CS/AI or an engineering science: Mechanical Engineering, Electrical Engineering, Computational Fluid Dynamics, Structural Mechanics, EDA, Semiconductor Engineering, or a related field
- Strong, hands-on machine learning expertise with a deep understanding of model architectures, training dynamics, and evaluation methodology is core to this role
- You have developed ML methods for simulation or surrogate modelling
- You write clean, readable Python code and are comfortable in Linux/HPC environments
- Fluent English with excellent communication skills, able to explain technical simulation and ML concepts to both engineering and non-technical audiences
- Self-directed, you don't need detailed roadmaps to make progress
- Low-ego, collaborative, and eager to learn at the intersection of simulation and ML
- Demonstrated success through industrial projects, academic work, or personal projects
IT WOULD BE GREAT IF YOU
- Have industrial or academic experience with simulation solvers (e.g. OpenFOAM, LS-DYNA, ANSYS, COMSOL, Abaqus, Fluent, STAR-CCM+, PowerFlow, NekRS, Tau/CODA, JAX-Fluids, or equivalent; Cadence/Synopsys/Siemens EDA or equivalent)
- Have experience automating large-scale simulation campaigns on HPC clusters
- Have contributed to a large open-source or industry codebase
- Have publications in engineering or ML venues (AIAA, ASME, JFM, NeurIPS, ICLR, etc.)
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Paris; Palo Alto; Amsterdam; Linz; Munich; London; Berlin
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE TEAM
You will join the AI4Engineering Science team, the Mistral research group that builds the data and evaluation infrastructure and owns the SFT/RL processes for AI4Engineering that teach our frontier LLMs to do real engineering work. The agentic engineering group works alongside the Physics AI research in the wider Science organisation.
This seat sits in the agentic CAD stream. Together with the Solutions and Applied teams, the group carries this work into customer projects with industrial partners in automotive, aerospace, semiconductors, and beyond.
THE ROLE
Mistral is looking for an AI Scientist with deep machine learning expertise and hands-on CAD experience to expand what our agentic tools can do for computer-aided design. Your focus is a single mission: teaching Mistral's LLMs to generate, analyze, and modify CAD designs the way an expert design engineer would.
Your core work is building the pre- and post-training data for Mistral's LLMs to reason about and execute real CAD tasks: text-to-CAD and image-to-CAD generation from technical drawings, geometric analysis and QA of CAD parts, and modification of existing designs. Because Mistral trains its own frontier LLMs, the data and verifiers you design ship directly into models you can hold - a rare position, and the core of the job.
Alongside this, you will help shape the agent architectures and harnesses that let these models operate reliably inside multi-step CAD workflows, driving CAD tools through APIs or computer use across the whole design loop.
This is early-stage work, and that's the point: you are joining at the foundation, shaping the data, verifiers, and agent scaffolding that decide whether these systems become reliable or stay demo-grade. There is no inherited playbook; you will help define what good looks like, and your work will set the direction the CAD stream builds on rather than extend an existing one.
WHAT YOU WILL DO
- Design pretraining, SFT, and RL data for CAD tasks: text-to-CAD and image-to-CAD generation from technical drawings, geometric analysis and QA of CAD parts, and design modification
- Define verifiers and evaluation criteria that capture what "correct" and "high-quality" actually mean for CAD tasks
- Scale the data pipelines that produce agentic CAD training traces
- Design and improve agent architectures and harnesses: how models plan, call CAD tools via API or computer use, recover from errors, and chain steps together across long-horizon design workflows
- Build and maintain CAD evaluation benchmarks and diagnostic tooling, from parametric CAD and drawing-to-3D benchmarks to industrial evaluations, identifying where models fail and tracing those failures back to gaps in data, reward design, or agent scaffolding
- Collaborate with CAD domain experts and the CAE and EDA streams (and the science and solutions teams more broadly) to identify which CAD workflows are highest-value to target next
- Contribute to Mistral's broader pre- and post-training research, sharing findings and methodology across the science organization
WHAT WE'RE LOOKING FOR
- Deep, hands-on machine learning expertise, particularly LLM development: you have built LLM training pipelines (SFT, RL, fine-tuning, GRPO), demonstrated in publications or shipped systems rather than CV claims
- Demonstrated hands-on CAD experience: you have designed, scripted, or automated real CAD workflows in tools such as SolidWorks, CATIA, Siemens NX, FreeCAD, or CADQuery, ideally with CAD-kernel grounding (OpenCASCADE, build123d)
- Fluent English with excellent communication skills: you can explain technical ML and CAD concepts to both engineering and non-technical audiences
- You write clean, readable Python code and are comfortable in Linux/HPC environments
- Self-directed: you do not need detailed roadmaps to make progress
- Low-ego, collaborative, and eager to learn at the intersection of CAD and ML
It would be great if you:
- Have experience building or fine-tuning agentic systems (tool use, multi-step planning, agent orchestration frameworks)
- Have experience with reward modeling, RLHF/RLAIF/RLVR, or preference-based training
- Have first-author publications or open-source benchmark work in agentic CAD or CAD-ML, such as CAD generation benchmarks or RL/GRPO fine-tuning of vision-language models for CAD
- Have contributed to a large open-source or industry codebase
- Have publications in engineering and ML venues (NeurIPS, ICLR, ICCV, SIGGRAPH, JFM, AIAA, etc.)
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: United States
Workplace: Remote
We are looking for a Senior Solutions Engineer, Federal/Public Sector to join our Solutions Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with civilian, defense, and intelligence community agencies, guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them, often inside classified or air-gapped networks.
This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept inside a disconnected or classified environment and stepping back to translate a technical win into a business case a federal decision-maker will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the agency back into how Coder builds and sells.
WHAT YOU’LL DO
- Own the technical relationship with agency prospects through pre-sales, and efficiently manage towards a technical win
- Lead or support post-sales relationships and renewals when needed
- Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives, including in classified and air-gapped settings
- Install Coder on cloud (including GovCloud) and on-prem Kubernetes or VM infrastructure, up to and including air-gapped and disconnected networks
- Run proofs-of-concept that prove Coder’s value, including for agentic and LLM-powered development workflows, and accelerate deals
- Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their impact on mission delivery
- Serve as the agency’s voice, routing insights to Engineering and Product
- Log feature requests and issues in our public/private Git repositories
- Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation, including within classified networks
- Contribute pull requests to Coder’s documentation
WHAT WE’RE LOOKING FOR
- Active TS/SCI clearance with Polygraph required at time of hire; U.S. citizenship required
- Physically based in the DC / Maryland / Virginia (DMV) area, with ability to travel to customer sites as required
- Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling, ideally into federal, defense, or intelligence community customers
- Experience with AI tooling at both the user level and infrastructure level, including coding agents and assistants (e.g. Claude Code, GitHub Copilot, Cursor) as well as LLM infrastructure such as model proxies and LLM routing layers (e.g. LiteLLM), and the ability to speak credibly to how agencies evaluate and adopt them, including in classified environments
- Strong customer-facing skills that win trust with technical stakeholders and program offices
- Ability to translate technical hurdles into mission value in real time
- Understand agentic AI software development use cases and advocate passionately where appropriate
- Comfortable leading architecture demos and deep-dive troubleshooting sessions in secure, restricted-access environments
- Deep Linux fundamentals and comfort at the command line
- 3+ years hands-on with Docker and Kubernetes
- Experience with AWS GovCloud, Azure Government, or on-prem/air-gapped Kubernetes deployments
- 3+ years with Terraform or comparable infrastructure-as-code tooling
- Solid grasp of networking: ingress controllers, proxies, load balancers, and operating within DoD/IC network boundaries
- Startup-speed execution, ownership mindset, and a player-coach attitude
WHAT SUCCESS LOOKS LIKE
- You can walk into an ambiguous agency conversation, diagnose the real technical, security, and mission blockers, and design a proof-of-concept that proves value fast, even inside a classified network.
- You translate deep technical fluency, including on agentic and LLM-based development workflows, into a business case that resonates with program managers, security officers, and mission owners alike.
- Agencies leave your demos and PoCs with a clear, credible picture of how Coder fits their environment, their developers, and their AI agents, without compromising their security posture.
- You are as invested in winning the account the right way as you are in closing the current deal; you spot risks early, whether technical, security, or procedural, and loop in the right people.
- Your field experience feeds back into product and marketing, sharpening how Coder demos and sells into the public sector.
BONUS TACOS
- (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
- Success at both high-growth startups and larger software vendors
- Direct experience deploying or supporting AI coding agents in customer environments (e.g. Claude Code, Codex, or similar autonomous/semi-autonomous dev tools)
- Prior military, intelligence community, or federal civilian service background
- Experience with FedRAMP, DoD IL4/IL5, or ATO processes
- Background in CI/CD, DevOps, or developer-platform products
- Experience in platform engineering or developer platform teams
- Kubernetes, AWS, or related certifications
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Location: Distributed
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: Las Vegas, Los Angeles, Phoenix, San Diego
What you will do as a Customer Engineer
The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey.
Key Responsibilities
Technical Validation:
Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals.
Customer Adoption & Value Realization:
Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk.
Commercial Accountability & Expansion:
Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives.
Trusted Advisory:
Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes.
AI Orchestration & Workflow Automation:
Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory.
Education & Enablement:
Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization.
Minimum Qualifications
Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling).
Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly.
Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives.
Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles.
Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy.
Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below:
Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS.
Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts.
Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3.
AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows.
Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions.
Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments.
Strongly Preferred Qualifications (The "Good-to-Haves")
Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms.
Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls.
Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2.
Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth.
Education
Undergraduate or graduate degree in Computer Science, Engineering, or a related field.
Travel
This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration.
Compensation
This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion.
For California (excluding Bay Area) based hires: Estimated annual salary of $234,000.00 - $292,000.00
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Paris; Amsterdam; Singapore; London; Lausanne
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
ROLE SUMMARY
As a Research Engineer on Forge, you will turn real customer requirements into reliable training and deployment workflows. You’ll work end‑to‑end across model adaptation and post‑training (CPT/SFT/RL/distillation), evaluation, data, and infrastructure. The role bridges research experimentation and production constraints.
This role sits in Applied Science, with direct impact on client outcomes. You’ll collaborate closely with scientists, engineers, product, and customer‑facing teams to ensure Forge projects ship, are maintainable, and can be trusted by others.
Interview focus can vary (algorithms, infrastructure, evals, or data). You don’t need to match every bullet below to apply.
WHAT YOU WILL DO
- Build and improve post‑training and evaluation workflows (CPT/SFT/RL/distillation), turning prototypes into repeatable Forge “recipes”.
- Develop tools and pipelines for synthetic data generation, data curation, training, evaluation, and deployment.
- Debug and harden large‑scale ML systems: distributed training, scheduling/execution, checkpointing, observability, and reproducibility.
- Improve the Forge codebase via clear APIs, tests, documentation, and maintainable abstractions.
- Push the frontier of our RL training stack (e.g., high-throughput async rollout and scalable post‑training systems at frontier-model scale)
- Make sure Forge deployment is seamless and adaptable to a diversity of clients (hardware access, software stack, cloud and on-premises, …)
- Partner with researchers and infrastructure engineers to translate bottlenecks into concrete system improvements.
ABOUT YOU
- Strong Python engineering skills and experience working in large codebases (testing, code review, CI, operational ownership).
- Hands‑on experience with PyTorch, JAX, or similar.
- Strong systems and infrastructure fundamentals.
- Experience with LLM training or post‑training: fine‑tuning, RL, distillation, evaluation, and/or data pipelines.
- Excellent debugging skills in ambiguous systems (distributed jobs, data issues, quality regressions, infra failures).
- Clear communication with technical and non‑technical stakeholders.
- High agency, low ego, and comfort in fast‑moving, under‑specified environments.
NICE TO HAVE
- Distributed training experience (FSDP, DeepSpeed, Megatron, etc.).
- Cluster/orchestration experience (SLURM, Ray, Kubernetes, Kueue, Karpenter, Skypilot, etc.).
- Experience building reliable ML infrastructure, evaluation systems, or large‑scale data processing pipelines.
- Research experience in LLMs, agents, multimodal models, reasoning, code, or domain adaptation.
- Open‑source contributions, publications, or widely used internal tooling.
- Experience training multi‑billion‑parameter models (pre‑training or RL). Experience training on petabyte- and exabyte-scale datasets.
- Ability to identify bottlenecks across the stack and drive improvements from first principles.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Toronto, Ontario
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
THE ADVENTURE AHEAD 🚀
As a Senior Product Designer, Content Design & Language Systems, you’ll lead ambiguous product problems where workflow, interaction, information architecture, and language need to work together. You’ll help make Docebo’s complex enterprise experiences clearer, more consistent, and easier to use for admins, creators, managers, and learners.
This is not a traditional UX writing role or a localization-operations role. You’ll be a hands-on Product Designer who shapes product behaviour as well as product language. You’ll design complete workflows, build reusable terminology and content patterns, improve AI review and confidence experiences, and embed language guidance into our design system and delivery practices.
You’ll shape problems before solutions are fixed, choose appropriate discovery and validation methods, and connect customer evidence, product data, business context, technical constraints, accessibility, and localization risk to clear product decisions. You’ll partner closely with Product Management, Engineering, UX Research, Elemental / Design System, Accessibility, Technical Writing / Localization, AI teams, and other Product Designers—building a shared quality capability without becoming a bottleneck or approval queue.
THE DAY-TO-DAY 💻
- Frame Ambiguous Workflow and Language Problems: Turn incomplete or conflicting inputs into clear problem statements, hypotheses, decision questions, and an actionable path to learning.
- Lead Discovery and Define Outcomes: Select appropriate research and validation methods; combine customer evidence, product analytics, business context, technical constraints, and localization insight to establish measurable success signals and visible trade-offs.
- Design Complete Product Workflows: Lead interaction, information-architecture, and content decisions across roles, permissions, states, edge cases, accessibility, responsive behaviour, errors, confirmations, approvals, and recovery.
- Build Docebo’s Product Language System: Establish terminology, product voice and tone, reusable microcopy patterns, audience guidance, and language principles that improve clarity across product areas.
- Design Trustworthy AI Moments: Create patterns that help people understand what AI did, what informed it, what needs attention, and how to review, edit, regenerate, approve, reverse, or recover.
- Embed Guidance into Product Systems: Partner with Elemental / Design System to create component-level guidance, default strings, usage examples, do-and-don’t guidance, and reusable quality checks.
- Design for Localization Readiness: Own product-side standards for translation-ready writing, terminology reuse, variables and placeholders, language previews, and localization constraints while partnering with Technical Writing / Localization on operational workflows.
- Prototype and Audit with AI-Assisted Methods: Use appropriate-fidelity prototypes and AI-assisted workflows to explore product behaviour, evaluate alternatives, audit language, and assess usability and technical feasibility before significant implementation investment.
- Partner Through Shipped Quality: Work closely with Engineering on implementation strategy, design QA, product polish, and post-release iteration using customer feedback and product evidence.
- Create Reusable Leverage: Turn repeated workflow and language needs into patterns, assets, documentation, terminology, prompts, or practices that improve more than one feature.
- Mentor and Facilitate: Help designers and cross-functional partners build stronger product-language judgment through critique, decision reviews, workshops, concise documentation, and practical guidance.
YOUR SUPERPOWERS 🦸♀️
- Your portfolio shows ownership of complex, ambiguous workflows or significant product-area work with visible customer and product impact—not only writing samples
- You can explain how you triangulated qualitative research, quantitative evidence, business risk, localization considerations, and technical constraints
- You demonstrate strong interaction, visual, information-architecture, content-design, accessibility, and product-language judgment across difficult states and edge cases
- You have created or contributed to product-language systems, terminology frameworks, component guidance, content pattern libraries, or other reusable product standards
- You show how prototypes, experiments, audits, or validation changed product direction before or after release
- You can define meaningful outcomes, distinguish signal from activity, and explain what the team learned after launch
- You have influenced Product and Engineering decisions early, managed disagreement constructively, and stayed accountable through implementation quality
- You understand how product language must work across design systems and languages, including translation readiness, terminology reuse, variables, layout constraints, and inclusive communication
- You use AI-assisted tools thoughtfully for research, synthesis, language exploration, prototyping, quality review, or implementation critique while retaining human judgment and accountability
- You have helped other designers or cross-functional partners build stronger judgment through mentorship, critique, facilitation, and practical guidance
BONUS POINTS 🌟
- Experience designing language and interaction patterns for AI-assisted, agentic, recommendation, conversational, generated-output, or automation workflows
- Experience with localization tooling and practices such as Lokalise, terminology management, localization previews, translation-quality review, or localization-to-codebase workflows
- Contributions to design systems, accessibility maturity, product-language systems, research practices, or reusable interaction patterns
- Experience with enterprise learning, HR technology, content authoring, analytics, knowledge management, administration, or skills platforms
- Practical experiments with tools such as Codex or similar systems—for AI-assisted audits, product-language linting, prompt packs, prototypes, plugins, scripts, or app-level language guidance—that show you learn by making
OUR INTERVIEW PROCESS 🗺️
- Step 1: A 30-minute video call with a member of our Talent team. We’ll get to know you, share more about the role and team, and confirm that we’re aligned.
- Step 2: A 45–60-minute conversation with the hiring manager focused on your experience, approach, and what interests you about the opportunity.
- Step 3: A 60-minute portfolio deep dive and collaborative case discussion focused on complex workflow ownership, content and interaction decisions, reusable systems, evidence, craft, and measurable learning or impact.
- Step 4: A final conversation focused on product-area influence, mentorship, values alignment, and cross-functional decision making.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized.
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
Location: Rotterdam, Netherlands
Workplace: hybrid
You will lead the Back Office & Integrations squad: the team that connects C Teleport to the systems our customers already run, from Planning, HR and Finance platforms to the AI agents that increasingly act on their behalf. The squad's mission is simple to state and hard to deliver: data moves between systems on its own, and nobody re-keys anything by hand. This is a hands-on leadership role. You set the squad's technical direction and write production code alongside your engineers. You also build the team, grow each person in it, and answer for how they perform.
Expect to spend roughly half your week in the code and half leading people.
C Teleport automates corporate travel for companies whose people are always on the move, with pragmatic engineering and machine learning doing the work that used to take a travel desk. Your squad is where that automation meets our customers' own systems. As Squad Lead you are the squad's face to the rest of the company. You work day to day with your Product Owner, who sits with you in Rotterdam, on what to build and how to ship it in increments. And you are the person other teams come to when their work depends on the integration layer, so they can trust that what you promise will land.
What you'll own
Technical leadership
Own the squad's technical direction, from design decisions through to the implementation itself.
Own the squad's delivery outcomes to ensure the team ships reliable, complete solutions and follows through to production.
Stay hands-on: contribute production code, lead reviews, and know the system deeply.
Partner with the Product Owner to shape the roadmap and break work into incremental MVPs, shaping solutions, not accepting requirements blindly.
Challenge estimates, surface risks early, safeguard production stability, and keep incidents and support tickets inside SLA.
Enforce coding standards, reduce technical debt, and evaluate new technology with the Architects Group.
People leadership
Line-manage the engineers in the squad: this is real, all-round people management, not a title.
Own hiring for the squad: define the need, interview, and make the call.
Run regular 1:1s, give direct feedback, and build each engineer's growth path.
Own performance end-to-end: recognise and stretch strong performers, and address underperformance directly, including the difficult conversations and, where it comes to it, managing someone out.
Set and hold the bar for how the squad works together, and promote a culture of "agree or disagree, but commit."
This is not…
Not a hands-off management role. You will still design, review, and write production code every week.
Not a pure IC or Tech Lead or architect role. You are accountable for people and for delivery, not only for the code. If you are looking to step back from management, or to step back from coding, this is not the role.
Not a way back into coding. If you have mostly managed people for the past year or more and your C# has gone rusty, this role will be a hard fit. Our technical interview tests current, hands-on skill.
Not a role where "leading engineers" was a title without the substance. If your team-lead experience didn't include running your own 1:1s, hiring, and personally handling underperformance, this role will feel like a bigger jump than it looks on paper.
Contract type
This role starts as a 12 months fixed-term contract, and permanent contract will be offered once the confidence of long-term collaboration is well established. If you need a permanent contract from day one, this isn't the right fit for you right now — for everyone else, it's the standard structure we use to make sure it's a genuine two-way fit before we commit long-term.
Must-haves (these are gates)
Based in the Netherlands and able to work from our Rotterdam office 3 days per week (Mondays, Tuesdays and Fridays). We can sponsor highly-skilled-migrant candidates who already live in the NL. We do not relocate candidates from outside the country.
7+ of your most recent years in software engineering with deep, current .NET / C# expertise. It needs to be your active day-to-day stack now, not a language you used earlier in your career.
2+ years of
current, full-scope
people management as a Engineering Manager, meaning you've personally run recurring 1:1s, hired, and managed underperformance through to a resolution, including an exit where needed. A lead or architect title without this substance isn't enough.
You have written and merged production C# as part of your regular job in the last 6 months.
Strong hands-on coding background, you'd rather write code than avoid it.
You use AI coding agents (e.g. Claude Code, Cursor's agent mode, or similar) as a daily driver, not just autocomplete, instead being comfortable directing agentic workflows, and ready to bring that fluency to how your team works, not only how you personally code.
Solid grasp of architectural patterns, SOLID, TDD, DDD, Event Sourcing and CQRS; practical experience with relational databases (PostgreSQL preferred) and message brokers (RabbitMQ or similar); hands-on with microservices and Docker.
Nice to have (bonus, genuinely not required)
Building and owning APIs, webhooks, or platform/integration products; connecting to enterprise finance/HR/scheduling systems; driving external partner/supplier integrations to live deployment.
Experience with AWS or Kubernetes.
Tech stack
C#, .NET, PostgreSQL, RabbitMQ, AWS; alongside Docker, Redis, Elasticsearch and other supporting services across the wider platform.
The squad
It's a small, lean and focused team working remotely across European time zones, with you connecting it to the wider company from our Rotterdam office. You report directly to the CTO.
What we offer
€7,000–8,000 gross per month, plus 8% holiday allowance.
A hands-on technical leadership role with significant ownership of a business-critical domain.
Hybrid working from our Rotterdam office, three days a week; close to your Product Owner and the cross-department stakeholders whose work depends on the squad, so the tightest collaboration happens in person.
Professional growth in a fast-moving company at the intersection of travel and engineering.
Hiring process
Recruiter / HR call: role, motivation, logistics, plus an interactive technical assignment.
Technical challenge / interview.
Meet the CTO.
Target: ~2–3 weeks end to end.
Pre-employment screening
If your application is successful, we may conduct a pre-employment screening through a trusted third party, in line with applicable laws — this may include employment history, education, and other relevant publicly available information to help us understand your suitability for the role.
C Teleport is an equal-opportunity employer. We assess every application on merit and handle your data in line with GDPR.
Location: New York; San Francisco
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
As a Customer Success Manager (CSM) at Mistral, you will be responsible for managing a portfolio of enterprise customers, ensuring they achieve their goals using Mistral’s solutions. You will serve as the primary point of contact for customers, driving adoption, satisfaction, and long-term success.
This role is ideal for those who excel in customer-facing environments, enjoy solving complex challenges, and are passionate about turning customer success into business impact.
WHAT YOU WILL DO
CUSTOMER SUCCESS OWNERSHIP
- Manage a portfolio of enterprise customers, ensuring they maximize the value of Mistral’s AI solutions.
- Build strong, trusted relationships with key stakeholders, understanding their business objectives and tailoring solutions to meet their needs.
- Lead customer onboarding, adoption, and ongoing engagement to drive product usage and satisfaction.
- Monitor customer health metrics, identify risks, and proactively address challenges to prevent churn.
- Collaborate with Sales to identify upsell and cross-sell opportunities based on customer needs and usage patterns.
- Partner with Product and Engineering teams to gather customer feedback and influence the product roadmap.
- Develop and deliver customer training, enablement programs, and best practices to drive adoption.
- Conduct regular business reviews (QBRs) to align on goals, challenges, and success metrics.
STRATEGIC CUSTOMER GUIDANCE
- Serve as a trusted advisor to customers, guiding them on how to leverage Mistral’s AI solutions to achieve their business outcomes.
- Work closely with Support and Product teams to ensure seamless customer experiences, from deployment to production.
- Create and execute customer success plans with clear KPIs, timelines, and measurable outcomes.
- Advocate for customer needs internally, ensuring their voice is heard in product and strategic discussions.
CROSS-FUNCTIONAL COLLABORATION
- Share customer insights with Product, Sales, and Engineering teams to inform product improvements and strategic initiatives.
- Clear obstacles for customers during deployment and adoption phases, accelerating time-to-value.
- Support renewal processes, including contract negotiations, expansion discussions, and coordination with internal teams.
WHAT WE'RE LOOKING FOR
- 5+ years of experience in customer-facing roles, such as Customer Success, Account Management, or Solutions Consulting, ideally in a technical or SaaS environment.
- Proven ability to manage enterprise customer relationships, with a focus on driving adoption, satisfaction, and retention.
- Experience working with technical products, with the ability to engage confidently with Data, IT, and Engineering teams.
- Strong communication and presentation skills, including the ability to tailor messaging for technical and executive audiences.
- Business acumen: Ability to identify upsell and expansion opportunities while ensuring customer success.
- Technical aptitude: Familiarity with AI/ML concepts is a plus; ability to understand and discuss technical requirements is essential.
- Hands-on, customer-centric, collaborative, and organized, with a passion for solving complex challenges.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Job Location: Singapore
We are looking for a thoughtful, detail-oriented Trust and Safety Platform Operations Investigator to work with our global Trust & Safety team. In this role, you will address sensitive and escalated abuse, compliance tasks, and Trust and Safety issues that affect our customers. This is a position where you will also gain familiarity with the inner workings of Cloudflare's technology and policies. As an investigator you will carefully review abuse claims and financial fraud. This role is located in our Singapore office.
Responsibilities
:
Be part of a world class globally-distributed team.
Help administer efficient and compliant handling of legal requests, including but not limited to requests for information, subpoenas, and court orders..
Be responsible for performing operations seamlessly and timely Service-Level Agreement (SLA) delivery along with maintaining high levels of stakeholder satisfaction.
Partner with other teams in the company, including Policy, Legal, and the Product teams to ensure our processes are carried out in a scalable fashion.
Deal with sensitive content and emotionally charged escalations with tact and a calm demeanor.
You may be part of the rotating weekend and off-hour coverage responsibilities.
Requirements
:
You have 3-5 years of anti-abuse or support escalations experience at an Internet Service Provider or hosting provider
Demonstrate working knowledge of DNS and how the Internet works
You’ve worked with lawyers, and legal teams on document production requests.
You’ve interacted with law enforcement individuals and agencies.
Experience managing sensitive content and emotionally charged escalations with tact and a calm demeanor
You have excellent written and verbal communication skills
You have a strong anti-abuse and/or support escalation background
Strong written and verbal communication skills, attention to detail and ability to manage multiple projects and tasks
Bonus Points:
Experience with the legal considerations related to hosted material (notice & takedown).
Familiarity with DMCA (Digital Millennium Copyright Act), copyright, and trademark issues.
Experience working with Security teams, specifically around threat identification and disruption.
Experience in compliance, sanctions, and similar regulatory regimes
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Manchester; London
Workplace: Hybrid
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
YOUR MISSION
Shape the future of agentic automation: UiPath is evolving from RPA to the worldʼs first Agentic Orchestration platform, enabling enterprises to deploy autonomous AI agents at scale. As part of this transformation, Peak (a UiPath company) is building new B2B agentic solutions that deliver immediate, measurable business value. Youʼll play a pivotal role in shaping and growing one of these solutions.
As a Principal Product Manager for one of our supply chain and/or manufacturing agentic solution areas, youʼll define how applied AI and automation combine to create measurable value in complex B2B domains such as supply planning, commercial operations and inventory optimization. Youʼll join a high-performing, cross-functional team building next-generation products in a rapidly evolving space where innovation, learning, and impact are daily drivers. Youʼll identify and prioritize the most valuable product opportunities, lead discovery and delivery, and work across Peak and UiPath teams to bring transformative solutions to life. From influencing go-to-market strategy to driving customer adoption, youʼll own the product vision for your area that excites and motivates our teams and delivers significant commercial impact.
WHAT YOU'LL DO AT UIPATH
- Define and drive an inspiring vision for one of Peakʼs agentic solution areas in supply chain or manufacturing, aligning to UiPathʼs broader strategic aims and the evolving agentic landscape
- Bring deep credibility and domain expertise to customer and commercial conversations, steering sales, roadmap and design partnerships to maximise customer value
- Own the roadmap for your area, making challenging tradeoff decisions for complex, ambiguous problems
- Engage with our customers and the market to understand their needs, validate strategy and use cases, and ultimately drive amazing outcomes for our customers
- Deeply understand the technical reality of our solution, anchoring our go-to-market motions to product truth
- Lead product launches, enable sales teams to sell your solution and drive revenue growth in your areas of responsibility
- Collaborate with and elevate the broader product team through knowledge sharing, thought leadership and mentoring
WHAT YOU'LL BRING TO THE TEAM
- Typically 8+ years in product management, including significant experience leading strategic initiatives in a SaaS product business
- Strong domain expertise in supply chain and/or manufacturing.
- Deep experience with AI/ML/agentic products, and the ability to effectively navigate the technical complexity and rapidly evolving landscape characteristic of these products
- Proven track record of working closely with cross-functional colleagues, including sales, marketing, professional services and engineering teams
- Excellent stakeholder management across all levels of seniority, both within our business and within our customerʼs businesses
- A highly effective strategic thinker, able to solve strategic problems creatively and pragmatically and drive disciplined execution across relevant teams off the back of it
- Proven experience in B2B SaaS or enterprise software. Particularly desirable: experience in supply chain, pricing, procurement, ERP, or adjacent enterprise software domains.
Youʼll join a team that values clarity, autonomy, and experimentation — where weʼre building the future of agentic automation, together.
Peak is a business unit of UiPath headquartered in Manchester, UK. This position is either Manchester- or London-based. London-based candidates will be expected to visit Manchester on a weekly basis. You will report directly to the Director of Product Management. This is an Individual Contributor (IC) role, with the possibility of future people management responsibilities.
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
Location: Sydney
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
Role Overview
As the founding APAC SMB Sales Manager at Harvey, you will shape the future of our Small and Medium-sized Business (SMB) go-to-market strategy. You’ll build, coach and develop a high-performing team of Account Executives while also rolling up your sleeves to engage directly with clients. Beyond hitting ambitious sales targets, you’ll establish the cultural and operational foundations of our SMB sales team: building playbooks, creating scalable best practices, and setting expectations that drive both accountability and collaboration.
In this role, you’ll build feedback loops with Product, Marketing, and Customer Success that inform product development, pipeline generation, and the SMB customer lifecycle. Success will mean using data to forecast accurately, improve team performance and prioritise accounts where Harvey can deliver the most impact.
We are looking for a highly analytical self-starter who can navigate ambiguity, operate in a fast-paced environment, and solve complex problems with limited oversight. Ideal candidates will have superb core sales skills, experience scaling high-velocity teams and mentoring colleagues, outstanding communication skills, and an affinity for understanding customer needs.
What You’ll Do
- Hire & lead a team of analytical, solution-based, SMB software sales professionals to achieve ARR targets through high velocity net new logo deals
- Drive recruiting for your team, including refining the ideal candidate profile, participating in sourcing, and interviewing candidates
- Own managing and reporting on your book of business, including accurate revenue forecasting and pipeline maintenance.
- Coach and develop SMB account executives to promote career growth
- Refine our SMB sales playbook to enable all sellers to better deliver results
- Work cross-functionally across the organisation to build effective sales processes and solutions that meet the needs of Harvey’s clients.
What You Have
- Extensive tech sales experience. Ideally closing new business at the Mid Market or Enterprise level; Minimum 2+ years of people management experience building, training and coaching a high-performing sales team.
- Experience operating in an early stage, high-growth environment. Demonstrated ability to design and improve systems from scratch
- Strong communication skills with the ability to clearly articulate technical concepts to a variety of audiences.
Additional Information
- Location: Sydney, NSW (Hybrid with flexibility)
- Work eligibility: Must have valid Australian work rights; Harvey does not currently offer visa sponsorship for this role
What We Offer
- Structured hybrid working arrangement: 3 days in our Sydney office, 2 days working from home
- Health Coverage: Fully covered private hospital insurance, plus extras for dental, optical, physio, mental health, and more.
- Family & Fertility Support: Support for fertility treatments, adoption, and surrogacy through Carrot.
- Retirement & Security: Comprehensive coverage designed to support your long-term well-being.
- Paid Leave: Paid annual leave, sick leave, and fully paid parental leave for all parents.
- Wellness & Perks: Daily in-office lunch, wellness memberships through Wellhub, and monthly commuting support.
- Professional Development: Annual support for courses, certifications, conferences, and books.
- Remote Work Allowance: Monthly support for home office, internet, and phone expenses.
- Harvey Holiday: After four years, enjoy a four-week paid sabbatical to rest, travel, or explore new experiences.
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-CL1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
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
Anthropic is building the Forward Deployed Engineering team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) embed with strategic customers to ship production AI applications that solve real business problems. Our delivery model pairs two roles: FDEs own the technical artifact, and TDLs own the engagement end-to-end — from statement of work (SOW) through production deployment.
As a Manager of Technical Deployment for Financial Services, you own engagement portfolio health across your vertical. You set the bar for delivery quality and build the playbooks and evaluation frameworks that let the practice scale. Your work will directly influence Anthropic's product direction and establish Anthropic as the trusted partner for AI transformation across the Fortune 100.
This is a player-coach role. You need to be credible in architecture conversations with a customer's engineering leads and equally comfortable in sales conversations in front of executive sponsors, and you will lead the most complex engagements yourself when the stakes call for it. Most of your impact will come through the people you hire and the standard you hold them to. You won't write production code, but you will pressure-test the technical decisions your TDL team makes with FDEs.
Responsibilities
Hire, develop, and retain a team of TDLs embedded in Financial Services engagements. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interviews that hold it.
Manage each TDL directly: regular 1:1s, clear expectations, direct feedback, and a growth plan. Build a bench that runs engagements well without you in the room.
Own portfolio health across the vertical. Track which engagements are on track, at risk, or closing out, and intervene early when delivery drifts. Run engagement quality reviews with your team.
Own customer outcomes across the portfolio. Hold the executive relationship with customer sponsors, run steering committees, and represent Anthropic's credibility with senior business, risk, and engineering leaders.
Make the staffing call for each engagement. Work with FDE managers to match TDLs and engineers to each customer, and adjust as scope changes.
Lead the most complex engagements yourself. Take the TDL seat when engagement size, regulatory exposure, or organizational complexity calls for it, from delivery plan through production.
Set the bar for delivery excellence — SOW quality, MVP scoping, and value measurement. Ensure every engagement has a defensible impact story.
Codify reusable solution patterns, evaluation frameworks, and technical playbooks across the team. Turn what works in the field into delivery infrastructure that lets the practice scale.
Partner with Sales to qualify engagements, shape scope, and inform SOWs. Partner with Marketing and Sales on Financial Services–specific go-to-market materials, reference cases, and positioning.
Run the team's operating rhythm: engagement reviews, knowledge-sharing, and escalation support, and report into the wider post-sales cadence and dashboards. Set team goals tied to customer outcomes.
Bring the field back to Anthropic. Surface delivery lessons and emerging Financial Services use cases to Product and Research, and represent the vertical in leadership discussions.
Consistently uphold Anthropic's values as you lead your team. TDLs should be strong representatives of Anthropic's culture as they work within customer environments.
Travel to customer sites (25–50% expected).
You May Be a Good Fit If You
Have 8+ years leading enterprise AI/ML delivery, whether you came up as a founder, engineer, data scientist, or researcher who has moved into deployments, with at least 3 years directly managing people who owned delivery outcomes.
Have a track record of building and leading technical delivery teams in enterprise environments, ideally including embedded or forward-deployed teams working at client sites.
Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.
Bring depth in Financial Services. You have delivered technology programs inside banks, insurers, or asset managers, you understand how model risk, security, and compliance review shape what ships, and you can speak credibly with a CIO, a chief risk officer, and a head of engineering.
Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and judge whether a proposed agent design is realistic. You are accountable for the technical direction your team sets alongside FDEs.
Have experience with value-based scoping, including TCO/ROI quantification and post-deployment impact measurement.
Thrive in ambiguity and bring structure where none exists. You have built a team, practice, or function from an early stage.
Have executive presence: polished, credible, and concise with senior leaders in high-stakes settings, and just as effective in a hands-on engagement review with your team.
Have strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$240,000
—
$450,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New Cairo City, Egypt
Location:
Cairo, Egypt (100% On-Premise)
Contract Duration:
4 Months
Employment Type:
Contract
About us:
Where elite tech talent meets world-class opportunities!
At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges.
Job Summary:
This hybrid role combines strategic product ownership with deep business systems analysis to join the
Xenon7 Core Team
. In this strategic hybrid role, you will act as a key driver across our internal core initiatives and high-impact client engagements within the Banking & Financial Services practice. You will bridge high-level strategy, business requirements, and technical execution, owning product backlogs, leading requirements discovery, and designing workflows across non-core banking systems, data pipelines, and digital platforms.
A. Product Ownership & Backlog Management
Backlog Leadership:
Own, structure, and prioritize the product backlog for core Xenon7 platform solutions and key delivery practices, balancing feature value, tech debt, and strategic goals.
Story & Requirement Definition:
Author clear, actionable
User Stories
complete with robust
Acceptance Criteria
(BDD/Gherkin) alongside formal BRDs/FRDs when navigating structured SDLC governance.
Agile Execution:
Lead sprint planning, backlog refinement, daily standups, and sprint demos in collaboration with engineering teams, data architects, and QA leads.
Release Approval:
Define acceptance criteria, validate delivered features, and hold sign-off authority for production releases.
B. Business & Systems Analysis
Workflow Automation & Optimization:
Analyze complex operational processes, identify bottlenecks, and architect TO-BE automated solutions using enterprise platforms like
ServiceNow
,
JIRA
, and custom software stack implementations.
Systems & Data Integration:
Conduct gap analysis for enterprise non-core banking platforms (CRM, ECM, HR systems) and define system interface specifications, data flows, and REST API mappings.
Practice Standards:
Establish and champion BA/PO best practices, documentation templates, and requirement-gathering frameworks across the Xenon7 delivery organization.
C. Strategic & Regulatory Alignment
Financial Domain Expertise:
Translate complex banking standards and regulations—such as Central Bank of Egypt (CBE) frameworks,
IFRS 9
,
AML/KYC
, and
Basel
compliance—into actionable product specifications.
Stakeholder Management:
Serve as a subject matter expert and trusted advisor to internal executive leaders and key client counterparts, translating complex business needs into technical solutions.
D. Data Analytics & Quality Assurance
Data Insights:
Utilize
SQL
,
Power BI
, and
Tableau
to profile datasets, validate functionality, and build executive-level delivery and performance dashboards.
UAT Governance:
Define test strategy, coordinate User Acceptance Testing (UAT), review QA test scenarios, and manage defect resolution to guarantee enterprise-grade delivery.
Requirements
Experience:
5
+ years
of experience as a Business Analyst, Product Owner, or hybrid BA/PO within Banking background is a must
Domain Expertise:
Deep knowledge of enterprise systems (
CRM, ECM, HR platforms, ServiceNow
) and financial compliance/regulatory frameworks.
Technical Toolset:
Proficiency in
JIRA
,
Confluence
, and
ServiceNow
.
Strong working knowledge of
Power BI
,
Tableau
, and
SQL
for data analysis.
Solid understanding of REST APIs, microservices architectures, and database design.
Agile Mastery:
Hands-on experience driving product delivery in Scrum, Kanban, and hybrid delivery models.
Languages:
Advanced bilingual communication skills in
Arabic and English
(written and spoken).
Preferred Certifications
Product Ownership:
Professional Scrum Product Owner (PSPO), CSPO, or Agile BA.
Business Analysis:
Certified Business Analysis Professional (CBAP) or PMI-PBA.
УдалённоUnited States; Remote; ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com
Dublin, IE
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.
leadSan Francisco, CA | New York City, NY | Washington, DC
Paris; Amsterdam; Linz; Munich; London; Berlin; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
ГибридParis; Palo Alto; Amsterdam; Linz; Munich; London; Berlin; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
УдалённоseniorUnited States
seniorГеография найма не уточнена
ГибридParis; Amsterdam; Singapore; London; Lausanne; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
ГибридseniorToronto, Ontario
ГибридleadRotterdam, Netherlands; We do not relocate candidates from outside the country; It's a small, lean and focused team working remotely across European time zones, with you connecting it to the wider company from our Rotterdam office
ГибридNew York; San Francisco; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks