Location: Paris
Workplace: Remote
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
Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all.
We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write.
European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on.
THE ROLE
You will build storage on our cloud.
Block, filesystem, and object storage for training runs, sandboxed workloads, and general compute: you help decide what we build, what we buy, and how it adds up to storage our customers can bet a business on. Some layers we deploy and harden from best-in-class vendors. The ones that matter most we write ourselves in Go — S3-compatible object storage, tiering, backup and recovery, caching layers that put cold data on cheap spinning disks.
Storage is a strategic bet for this org: the systems you build will define how a gigawatt of European compute stores its data.
WHAT YOU WILL DO
- Build the storage stack — block, file, object — for training, sandbox, and general compute workloads.
- Design and write our own services in Go: S3-compatible APIs, tiering, backup and recovery, caching layers.
- Own the data plane: allocation, duplication, tiering, backup and recovery.
- Plan capacity across datacenters and across failure domains — petabytes, not terabytes.
- Partner with Product Managers to shape the storage roadmap and make the technical and business tradeoffs.
WHAT WE'RE LOOKING FOR
- You have built storage systems — object, block, or distributed filesystems — not just operated them. You know what happens when a disk dies mid-write and when a rebalance collides with a backup window.
- Deep distributed-systems fundamentals: durability, consistency, replication, erasure coding, failure domains.
- You have shipped production systems in Go. Systems engineers coming from C++ or Rust who are ready to write Go daily should still talk to us.
- You are comfortable with hardware reality: HDD, SSD, and NVMe tiers, and the economics of each.
- 5+ years building backend or infrastructure systems.
- You have partnered with product, design, and business teams to ship software that reached real users.
- A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside.
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.
УдалённоParis; 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
Location: Paris
Workplace: Remote
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
Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all.
We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write.
European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on.
THE ROLE
You will build our Kubernetes product end to end: a metal-to-on-demand platform built on in-house infrastructure, with GPU support for training, inference, and general-purpose compute.
Kubernetes is our product, not just our platform — we run it on infrastructure we own end to end. You will decide how the control plane scales, how GPUs get scheduled, and how quickly a rack of bare metal becomes an on-demand cluster a customer can use. The decisions you make here shape how our infrastructure scales from today's footprint to a gigawatt, and how we turn frontier AI research into production systems used by millions.
WHAT YOU WILL DO
- Design and ship the control plane. You own the architecture and the hardest implementation decisions — scheduling, operators, provisioning, node lifecycle.
- Own the reliability of the Kubernetes control plane. It is the team's headline KPI. You make the calls when it breaks at 3am.
- Shrink the distance from metal to on-demand. Provisioning a cluster should be minutes of automation, not weeks of tickets.
- Partner with Product Managers to set priorities, scope initiatives, and make the technical and business tradeoffs.
- Raise the engineering bar through code review and knowledge sharing across the Cloud Platform org.
WHAT WE'RE LOOKING FOR
- You have shipped production systems in Go. Not dabbled. Shipped.
- You have run Kubernetes in anger — and ideally built parts of it: operators, schedulers, controllers. You understand what happens underneath it, and you have worked on Linux directly, not just on managed services that sit on top of it.
- You have run GPU workloads on Kubernetes, or you are confident you can own that domain fast.
- You think like a developer who happens to build infrastructure, not an operator who manages it. You write code other engineers depend on.
- Extensive experience building backend or infrastructure systems.
- You have partnered with product, design, and business teams to ship software that reached real users.
- A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside.
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
Workplace: Remote
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
Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all.
European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on.
THE ROLE
A datacenter is not a cloud until software makes it one. You will build the software that turns arriving hardware into accepted clusters.
Cabling validation, burn-in, firmware, deployment validation, software stack install — all of it automated, none of it click-ops. Your KPI is time to acceptance: the hours between a rack being physically installed and it serving customer workloads. Across the industry that number is measured in weeks. You will drive it toward days, then hours, as we scale toward a gigawatt of compute across Europe.
This is a hands-on engineering role at the intersection of hardware and software. Most of your time in the code and the architecture, some of it on datacenter floors, because the automation has to survive contact with the machines it runs on.
WHAT YOU WILL DO
- Build the delivery pipeline in Go: provisioning, configuration, validation, burn-in, network bring-up, software stack install.
- Own time-to-acceptance and drive it down relentlessly — measure it, break it down, kill the slowest step first.
- Work shoulder-to-shoulder with Hardware Design and Fleet Health — reliability starts at delivery.
- Handle GPU fleets at scale: H100 and GB200-class nodes, InfiniBand and RoCE fabrics, and the failure modes they bring.
- Partner with Product Managers and the datacenter org to plan delivery waves against capacity commitments.
WHAT WE'RE LOOKING FOR
- You have automated bare-metal fleets — you have written the software that turns racks into clusters. If you have done it by hand, you resented it and scripted it.
- Hardware fluency: servers, GPUs, NICs, switches, firmware — you can read a parts list and a topology diagram.
- 5+ years building backend or infrastructure systems.
- Deep Linux: you are comfortable well below the application layer.
- You have shipped production systems in Go. Not dabbled. Shipped.
- Willing to travel to datacenter sites when the work demands it.
- A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside.
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
Workplace: Remote
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
Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all.
We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write.
European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on.
THE ROLE
You will build our serverless containers product: the way developers run AI apps, MCP servers, APIs, and managed workers on our cloud without thinking about servers. Push a container, get an endpoint, scale from zero to thousands of instances and back down — across CPU and GPU.
On a hyperscaler, the serverless layer is a product someone else built. Here you build it end to end: the scheduler that decides where a container lands, the routing path a request takes, the machinery that turns a scaled-to-zero service into a warm instance before a customer notices. All of it runs on metal, network, and datacenters we own.
That tension is the product: scale-to-zero economics with cold starts in milliseconds, autoscaling that absorbs a launch spike without a config change, GPUs scheduled onto containers the way other platforms schedule CPU. The customers betting on this layer are the developers building the next generation of AI software on European infrastructure.
WHAT YOU WILL DO
- Build the container platform end to end: image delivery, placement, request routing, scale-up, scale-to-zero — across CPU and GPU.
- Make cold starts a solved problem: snapshotting, prewarming, image-layer caching, whatever it takes for scale-from-zero to feel instant.
- Treat AI workloads as the normal case: GPU-backed containers, streaming responses, long-lived connections, MCP servers that cost almost nothing while idle.
- Write Go and own the architecture and the hardest implementation decisions.
- Partner with Product Managers to turn platform decisions into a product developers want to deploy on.
WHAT WE'RE LOOKING FOR
- You have shipped production systems in Go. Not dabbled. Shipped.
- You have built container or workload platforms — orchestration, scheduling, isolation, request routing — not just deployed onto someone else's serverless platform.
- Deep Linux: namespaces, cgroups, image layers, page cache — comfortable well below the application layer.
- Multi-tenancy instincts: density, isolation, and fairness when hundreds of customers share one fleet.
- Significant experience building complex backend or infrastructure systems.
- You have partnered with product, design, and business teams to ship software that reached real users.
- A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside.
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: Amsterdam, Netherlands
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is seeking an experienced and highly organized Senior Corporate Paralegal to join the Corporate & Governance legal team and manage the day-to-day governance and maintenance of our international group structure.
The role will support the full lifecycle of our subsidiaries, from incorporation and ongoing compliance to restructurings and liquidations. You will also support Nebius’s rapid international expansion by coordinating the establishment of entities in new countries and ensuring that our corporate records, governance processes and entity-management systems remain accurate and scalable.
Working closely with Legal, Finance, Tax, Compliance, HR and external advisors, you will operate with a high degree of autonomy in a fast-moving international environment.
Your responsibilities will include:
Manage the corporate governance and ongoing maintenance of Nebius’s subsidiaries across multiple jurisdictions.
Coordinate the incorporation of entities in new countries, including working with internal teams, local counsel and corporate service providers.
Prepare and coordinate corporate decision-making, powers of attorney, director and officer appointments, constitutional amendments and other corporate documentation.
Maintain accurate corporate records, organizational charts, entity information and governance calendars.
Support restructurings, financings, acquisitions and other corporate projects, including due diligence, approvals, signing and closing processes.
Respond to corporate information, KYC and document requests from internal teams, banks, auditors, regulators and other external parties.
Lead corporate-law workstreams for entry into new jurisdictions by identifying required local documents, policies, registrations and decision points; instructing and managing external counsel for scope, quality and cost; and translating local advice into practical implementation steps.
Build and maintain scalable entity-management infrastructure, including global and local templates, checklists, country playbooks, launch checklists and approval workflows to support the continued growth of Nebius.
Support the Company Secretary with a variety of governance matters relating to Nebius Group N.V. and its principal subsidiaries.
We expect you to have:
A relevant legal, paralegal or company-secretarial qualification, with a strong specialization in corporate law and/or corporate governance.
At least 7 years of relevant experience in corporate law or corporate governance, subsidiary management or corporate legal administration, gained in-house, at a law firm or with a corporate services provider.
Hands-on experience managing legal entities and corporate requirements across multiple jurisdictions.
Experience preparing corporate approvals and maintaining corporate records, and compliance calendars.
Experience with entity-management platforms, electronic-signature tools and corporate document-management systems.
Strong written and spoken English. Dutch language skills would be an advantage.
Excellent attention to detail, sound judgement and a proactive, ownership-driven approach.
The ability to work independently and collaborate effectively with internal stakeholders and external advisors.
The adaptability to work effectively in a fast-growing international business where structures and priorities continue to evolve.
It will be an added bonus if you have:
Prior in-house corporate or corporate-governance experience in an international organization, ideally in a fast-growing, cross-border business.
Experience instructing and working with external counsel in multiple jurisdictions, including managing scope, budget, quality and consistency of advice.
Experience supporting a listed company or major corporate transactions.
Experience establishing and maintaining entities across Europe, the United States and/or the Asia-Pacific region.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Poland; Prague, Czech Republic; Zurich, Switzerland
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Role Summary
Nebius Token Factory is building production-grade inference for open-source, customer, and internally optimized models. This role owns the path from model artifact to fast, reliable, cost-efficient endpoint. The work sits at the intersection of model internals, inference engines, serving architecture, benchmarking, and production deployment.
What You Will Do
Own a platform-level optimization pillar such as quantization, speculative decoding,
KV
-cache optimization, engine selection, or long-context serving.
Create reusable evaluation, benchmarking, and rollout frameworks across multiple model families.
Provide technical direction to MLEs, Applied Scientists, GPU kernel engineers, and infrastructure engineers on shared performance goals.
Optimize LLM and
VLM
endpoints for latency, throughput, memory efficiency, GPU utilization, quality, and cost per token.
Deploy, configure, benchmark, and extend inference engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server,
NVIDIA
Dynamo, or similar systems.
Build and productionize model-compression workflows, including quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery.
Implement or integrate speculative decoding, draft-model approaches,
KV
-cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving.
Build reproducible benchmark harnesses for
TTFT
,
TPOT
, tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token.
Partner with GPU kernel engineers and platform engineers to diagnose bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers.
Write clear design docs, performance reports, rollout plans, and customer-facing technical explanations.
Required Qualifications
Strong Python and PyTorch engineering skills.
Hands-on experience deploying or optimizing LLM,
VLM
, or high-throughput transformer inference systems.
Practical knowledge of at least one modern inference stack such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server,
NVIDIA
Dynamo, Ray Serve, KServe, or equivalent internal systems.
Strong understanding of transformer inference bottlenecks, including
KV
cache, attention, memory bandwidth, batching, parallelism, and long-context serving.
Ability to reason quantitatively about latency, throughput, quality, utilization, and cost tradeoffs.
Strong communication skills and ability to collaborate with research, kernel, infrastructure, product, and customer teams.
Preferred Qualifications
Experience with quantization-aware training, post-training quantization,
FP8
,
INT8
,
INT4
,
NVFP4
,
MXFP4
,
AWQ
,
GPTQ
, SmoothQuant, or related techniques.
Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or other inference acceleration methods.
Experience with agentic workloads, including tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration.
CUDA
or Triton familiarity, even if the role is not primarily a kernel-engineering role.
Open-source contributions to vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, KServe, or related projects.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Warsaw, Poland; Serbia; Romania
On behalf of
AdTech Client #1
, SD Solutions is looking for a
Senior AI Engineer
to join Gen AI team within the Apps Engineering Group in Tel Aviv. You will join a team that is developing Nexxen's next-generation Conversational Agents, designed for seamless integration across our platforms.
SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.
Responsibilities:
Develop and implement innovative AI-driven solutions to advance platform capabilities.
Work closely with different stakeholders, including developers, product managers, and business operations, to align goals and outcomes.
Lead the development of Conversational Agents, from concept design to production deployment.
Explore and research advanced AI technologies and integrate with external APIs and services.
Lead and mentor other developers, providing guidance and expertise on complex projects.
Requirements:
BSc in Computer Science or related degree.
6+ years of experience in building customer-facing full-stack applications.
2+ years of hands-on experience with Python- a must!
Deep understanding of large language model (LLM) core concepts and usage, including prompting and reasoning strategies - a must!
Proficiency with SQL and NoSQL databases
Experience in designing agentic workflows- an advantage
Experience with Node.js, particularly Nest.js
Experience with Langchain or Langraph - an advantage
Excellent spoken and written English skills.
Proactive, collaborative mindset with a passion for impacting engineering teams, products, and customers.
About the company:
A large-scale advertising technology company building audience intelligence and campaign automation tools for brands, agencies, and publishers across multiple digital channels. The platform processes vast data volumes to enable programmatic decisions and measurable business outcomes at a global level.
By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy
https://sd-solutions.breezy.hr/privacy-notice
, and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.
Location: Singapore
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.
ABOUT THE ROLE
We are looking for a hands-on Revenue Operations Manager to partner closely with APAC sales leadership, drive commercial planning and performance, and build a growing team focused on improving sales execution across the region.
Based in Singapore, you will support a 100+ person GTM organization across Southeast Asia, ANZ, India, South Korea, and Japan. You will navigate the needs of markets at different stages of growth, balancing regional priorities with the development of consistent, scalable operating practices.
As part of the global RevOps organization, you will work across analytics, systems, and operations to turn business insights and field feedback into improvements in sales execution and productivity. You will also help shape how we leverage AI and automation to simplify processes, reduce manual work, and enable our sales teams to move faster.
KEY RESPONSIBILITIES
1. Partner with regional leadership on commercial strategy. Evaluate growth opportunities and business performance across APAC markets, translate regional objectives into quarterly priorities, and recommend where to focus sales resources and investments.
2. Own territory planning and execution. Lead territory design, rollout and ongoing management with Sales and global RevOps; align account allocation to market potential, seller capacity and ramp, and resolve coverage gaps.
3. Drive capacity and quota planning. Partner with Sales, Finance and RevOps on headcount, capacity and regional quotas; translate plans into territory targets and track attainment.
4. Shape regional pipeline targets. Partner with Sales and Marketing to establish pipeline creation and coverage targets, identify gaps across markets and segments, and develop targeted actions to improve pipeline health and conversion.
5. Run the regional operating cadence. Lead weekly, monthly and quarterly business reviews that produce decisions, owners and deadlines; track performance, escalate blockers and close out actions.
6. Strengthen forecast discipline. Challenge assumptions with sales leaders and managers, inspect changes and surface risks, slippage and upside early.
7. Improve productivity through AI and automation. Gather seller and leadership feedback, prioritize opportunities with GTM Systems, define requirements, pilot improvements and measure adoption, time saved and execution speed.
8. Deliver cross-functional change. Represent APAC in global initiatives, surface regional business needs to global teams, and coordinate implementation and adoption across Sales, Finance, Marketing, Enablement, and GTM Systems.
MUST-HAVES
- Experience leading and developing sales operations, revenue operations or commercial business partnership teams across the APAC region
- A track record of translating analysis into action and measurable results.
- Credibility with senior sales leaders and the ability to influence decisions without formal authority.
- Strong commercial judgment across territories, capacity, quotas, pipeline, forecasting and seller productivity.
- Experience delivering cross-functional improvements in a growing B2B technology business.
- Ability to operate independently, prioritize competing business needs, and drive execution in a fast-paced, evolving organization.
NICE-TO-HAVES
- Experience supporting sales organizations across multiple APAC markets.
- Experience building and scaling commercial operations in a high-growth organization.
- Experience identifying and implementing process improvements through automation and AI.
FOUNDATIONAL SKILLS
- Analytical problem solving.
- Clear communication and constructive challenge.
- Prioritization, ownership and follow-through.
- Coaching and delegation.
- Process improvement and AI/automation judgment.
WHAT SUCCESS LOOKS LIKE
- Regional leaders have clear priorities backed by evidence and practical action plans.
- Territories, capacity and quotas are aligned to regional opportunity and field realities.
- Pipeline and performance gaps trigger timely interventions with measured outcomes.
- Business reviews consistently produce decisions and completed follow-up.
- Business partners earn leaders’ trust and operate with increasing independence.
- Seller feedback leads to adopted process improvements that save time and accelerate execution.
- Regional feedback improves global priorities, and global initiatives are used effectively in the field.
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
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.
Our mission
Serve as Mistral AI’s senior technical authority for critical electrical, mechanical and life-safety infrastructure across assigned colocation sites. Protect the availability of high-density AI compute by identifying technical risks before they become incidents, challenging infrastructure operating practices and verifying that power and cooling systems perform within agreed requirements.
Operating context & accountability
Working with Engineering Operations leadership, IT Operations, hardware partners and colocation providers, you will provide hands-on technical assurance across a site or cluster. You will assess provider performance, advise on critical decisions, support incident response and ensure operational learning drives durable improvements. The role focuses on technical oversight and influence rather than direct management of the colocation provider’s maintenance workforce.
Technical assurance and operational risk
- Own and maintain the site technical risk register, including electrical and mechanical single points of failure, maintenance exposure, redundancy limitations, cooling capacity, liquid-cooling interfaces and common-mode failure scenarios.
- Assess the resilience of utility connections, MV/LV distribution, transformers, generators, UPS, switchgear, busways, protection systems, pumps, cooling plant, controls and monitoring against the contracted operating envelope.
- Review provider preventive maintenance strategies, schedules, critical asset condition and outstanding defects; identify maintenance deferrals and vulnerabilities that may affect AI compute availability.
- Critically review high-risk methods of procedure, electrical switching and isolation plans, planned impairments, work sequencing, contingency measures, rollback plans and restoration criteria.
- Validate the completeness and quality of technical documentation, including single-line diagrams, P&IDs, operating sequences, alarm matrices, capacity records, asset registers and operating procedures.
- Use BMS/EPMS trends, alarms, power-quality records and cooling telemetry to identify abnormal operating conditions, capacity constraints and deteriorating resilience before service is affected.
Incident response, investigations and reliability
- Act as a senior engineering escalation point during major infrastructure incidents; rapidly assess failure domain, remaining redundancy, safety implications, likely IT impact and viable restoration options.
- Coordinate technical information across the colocation provider, Mistral IT Operations and OEM partners, ensuring accurate incident timelines, risk communication and controlled return to service.
- Review and challenge root-cause analyses, distinguishing immediate triggers from underlying design, maintenance, controls, process and organizational contributors.
- Define and follow up corrective and preventive actions, requesting evidence of implementation and verifying that recurring failure modes have been addressed.
- Identify systemic trends across sites and share lessons learned with engineering design, commissioning and regional operations teams.
- Support emergency response planning and tabletop exercises covering loss of utility, cooling failures, liquid leaks, fire/life-safety events and critical equipment failures.
Capacity delivery, commissioning and change control
- Participate in design and constructability reviews for expansions, retrofits and new AI deployments; flag operational, maintainability and resilience concerns early.
- Review commissioning and integrated systems testing plans, including power transfers, redundancy scenarios, controls failure modes, cooling recovery and operational readiness criteria.
- Challenge test results and acceptance evidence against defined electrical, thermal and operational requirements; track unresolved technical issues through handover.
- Partner with IT Operations on rack power and thermal limits, direct-to-chip liquid cooling, coolant distribution unit boundaries, leak response and load-restoration dependencies.
- Assess proposed changes to critical infrastructure, including concurrent maintenance, controls updates and brownfield works; recommend safeguards and escalation where exposure is unacceptable.
- Provide technical coaching to internal stakeholders, contribute to engineering standards and support recruitment and knowledge sharing as the portfolio expands.
Success measures
- Critical technical risks are identified early, prioritized and reduced through verified mitigation actions, supporting Mistral’s availability objectives.
- High-risk maintenance and infrastructure changes receive timely, evidence-based technical review with clear mitigations and escalation.
- Major incidents are diagnosed accurately, communicated effectively and followed by robust root-cause analysis and verified corrective actions.
- New and expanded capacity meets agreed redundancy, electrical, cooling and operational acceptance requirements.
- Repeat failures, unresolved high-severity defects and preventable technical deviations decrease over time.
Minimum qualifications
- 5–7+ years in critical facilities engineering, commissioning, data center operations or technical assurance in high-availability environments.
- Strong practical knowledge of critical electrical infrastructure (UPS, generators, MV/LV distribution, switchgear and protection) and mechanical systems (cooling plant, pumps, controls and heat rejection).
- Ability to review single-line diagrams, operating sequences, technical procedures, maintenance plans, commissioning evidence and root-cause analyses.
- Demonstrated experience troubleshooting complex infrastructure incidents and influencing external technical teams without direct line authority.
- Clear written and verbal English communication, sound judgment under pressure and willingness to travel and participate in incident escalation as needed.
Preferred experience
- Full technical governance, multi-site operations or mission-critical facilities serving high-density AI/HPC workloads.
- Experience with direct-to-chip liquid cooling, CDUs, facility/technology cooling interfaces, water quality, leak detection and rack-level thermal management.
- Integrated systems testing, EPMS/BMS trend analysis, protection coordination, failure-mode reviews and cross-site engineering standardization.
- Experience partnering with hardware OEMs, design engineers, commissioning teams and infrastructure providers during live-site expansion.
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
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.
Our mission
Shape the engineering foundations of Mistral AI’s next generation of compute capacity while improving the resilience of the infrastructure already in service. This role combines technical design leadership with field reliability engineering: you will establish demanding, practical requirements for colocation power and cooling, scrutinize proposed solutions and turn operating experience into better designs, safer changes and more reliable AI capacity.
Operating context & accountability
Mistral deploys high-density AI infrastructure in colocation facilities, where partners operate the underlying critical plant. You will be Mistral’s technical counterpart to providers, designers, commissioning specialists and internal IT and capacity teams. The position combines forward-looking design authority with hands-on technical investigation and portfolio reliability improvement. It requires depth in one core engineering discipline and the judgment to lead multidisciplinary decisions with specialist support.
Key responsibilities — design and technical standards
- Own and continuously improve Mistral’s technical design criteria and colocation requirements for new facilities, expansions and retrofits, including availability objectives, failure domains, maintainability and operational flexibility.
- Translate GPU platform roadmaps into measurable facility envelopes: IT load and transients, rack density, electrical topology, redundancy, cooling capacity, supply/return temperatures, flow, pressure, water quality and monitoring.
- Review utility and MV/LV arrangements, transformers, generators, UPS, switchgear, busway, protection coordination, earthing, power quality and metering for suitability under demanding AI loads.
- Review mechanical and controls architecture, including chilled-water and heat-rejection systems, pumps, control sequences, CDU integration, leak detection, filtration, water treatment and cooling recovery scenarios.
- Lead multidisciplinary reviews of single-line diagrams, P&IDs, sequences of operation, design calculations, capacity models, failure-mode studies and proposed deviations; document risks and decisions.
- Participate in site selection, technical due diligence, provider RFPs, design milestones and commercial technical schedules, challenging assumptions before they become delivery constraints.
- Define design review and exception processes that balance performance, resilience, deployment speed, efficiency, capital cost and long-term operability.
Key responsibilities — commissioning and delivery assurance
- Partner with delivery and commissioning teams to define functional and integrated testing requirements, acceptance criteria, evidence packages and outstanding-defect management.
- Validate that electrical and cooling infrastructure can support the contracted AI load envelope under normal, maintenance and credible fault conditions.
- Review test scripts and results for loss of utility, UPS/generator transitions, cooling component failures, controls faults, CDU interface events and staged restoration where applicable.
- Ensure operational handover includes accurate drawings, asset and interface registers, monitoring points, setpoints, maintenance constraints, emergency procedures and unresolved risk ownership.
- Support live-site changes and capacity upgrades with a disciplined review of impact, sequencing, rollback plans and operational readiness.
Key responsibilities — field reliability and root-cause analysis
- Act as a technical escalation point for recurring or high-impact electrical, mechanical and controls incidents across operational colocation sites.
- Analyze alarms, BMS/EPMS trends, event sequences, power-quality records, cooling telemetry, commissioning findings and maintenance evidence to distinguish symptoms from systemic causes.
- Lead or challenge technical root-cause investigations with colocation partners, including common-mode failures, protection miscoordination, thermal instability, control logic, hydraulic performance and hidden capacity limitations.
- Develop risk-ranked corrective actions and reliability improvement programs; validate effectiveness through evidence and post-change monitoring.
- Identify fleet-wide patterns and feed lessons learned into reference designs, acceptance tests, technical specifications and provider governance.
- Review maintenance and change proposals that create material exposure to compute availability, providing clear technical recommendations and escalation where required.
Key responsibilities — collaboration and leadership
- Work with IT hardware, network and platform teams to understand the operational consequences of rack-level and cluster-level failure domains.
- Influence colocation providers, consultants and OEM partners through technically rigorous, fact-based reviews without relying on direct operational authority.
- Present design trade-offs, reliability risks and investment recommendations in language accessible to engineering leadership and business stakeholders.
- Develop reusable standards, technical playbooks and engineering knowledge sharing to support consistent decisions across a rapidly expanding portfolio.
What success looks like
- New capacity is accepted against well-defined electrical, thermal and resilience criteria with transparent technical exceptions.
- Design risks are identified early, reducing late changes, stranded capacity and avoidable operational constraints.
- Repeat incidents and unresolved critical engineering defects decrease as corrective actions are verified.
- Field experience produces measurable improvements to future designs and live-site operating resilience.
Minimum qualifications
- At least 8 years in mission-critical data center design, engineering, commissioning or technical reliability, including responsibility for complex technical decisions.
- Degree in electrical or mechanical engineering, or equivalent professional experience, with deep knowledge in one discipline and strong working knowledge of the other.
- Demonstrated expertise in critical power and cooling architecture, redundancy, failure-mode analysis and operational risk management.
- Experience reviewing engineering drawings, calculations, commissioning evidence and root-cause analyses, and coordinating technical specialists.
- Ability to influence colocation providers and cross-functional stakeholders; excellent English communication and willingness to travel.
Preferred qualifications
- Experience with AI/HPC infrastructure, high-density accelerator platforms and direct-to-chip liquid cooling.
- Knowledge of CDUs, facility-to-technology cooling interfaces, hydraulic performance, cooling-water quality and leak management.
- Experience with electrical protection/selectivity, power quality, controls sequences, integrated systems testing and BMS/EPMS analytics.
- Experience creating technical standards across multiple sites or providers, including design deviations and fleet-wide reliability improvements.
- Professional engineering registration or equivalent technical credentials.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Remote: United States; San Francisco HQ; Remote: Canada
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
About the Role
Billing is mission-critical to Render’s success. Every service, database, and workload that runs on Render ends up on an invoice, and customers trust us to get that invoice right. As Senior Engineering Manager for the Billing team, you’ll lead the organization that makes sure customers are billed accurately, reliably, and transparently as Render scales.
You’ll set the multi-quarter strategy and own the technical direction, people, and execution behind Render’s usage-based billing systems: how usage is captured, how it flows through our data pipelines and third-party billing platforms, and how it lands as a correct charge. You’ll be Engineering’s senior partner to Finance, Product, and Customer Experience leadership, turning pricing, reporting, and customer needs into a roadmap your team can ship.
This role is for a seasoned technical leader who wants to build the organization, the leaders, and the systems that keep billing right as usage, pricing, and our customer base keep growing.
What You’ll Do
- Lead and grow the Billing engineering team, which owns how Render turns platform usage into accurate charges: usage capture, data pipelines, third-party billing platforms (Orb, Metronome, Stripe, or similar), and invoicing
- Own the roadmap for Render’s billing systems, from usage metering through invoicing, reconciliation, and financial reporting
- Drive billing correctness and reliability: build the monitoring, reconciliation, and testing that catch errors before customers do
- Partner with Finance, Product, and Customer Experience to align the roadmap with pricing, reporting, and customer needs
- Hire and develop engineers to support planned team growth, while keeping the team’s focus clear as billing scope expands
- Make key architectural decisions, balancing long-term billing platform investment against near-term pricing launches and fixes
- Build a strong performance management and career development practice for a team that includes senior ICs
What We’re Looking For
- Strong people leadership — the top priority for this role
- Hands-on enough to review code, prototype, and contribute directly when it helps the team
- Comfort operating in ambiguity, with adaptability and a growth mindset
- Proven experience building and scaling teams, ideally growing a group from a handful of engineers into a larger org
- Experience managing engineers; including senior and staff engineers; hiring, and performance management
- Hands-on experience with usage-based billing, payments, or other revenue-critical systems, including third-party platforms like Orb, Metronome, or Stripe
- Ability to partner closely with Finance, Product, and Customer Experience without needing to fill those functions yourself
- Strong business instincts, with the ability to connect engineering investment to billing accuracy, revenue, and customer trust
- Background from either a startup or a larger company is fine. What matters is experience and ability to operate in a fast-paced environment
Nice-to-Haves
- Experience leading a billing platform migration or a pricing model change.
- Familiarity with financial reconciliation and reporting processes.
- Background in distributed systems or event-driven architectures.
- Experience building for developer platforms, cloud infrastructure, or DevTools.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
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Location: Remote (United States | Canada)
Workplace: Remote
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
We’re hiring an Intermediate Frontend Developer to join our Device Security team. 1Password helps people use technology safely, and our Device Security initiative is expanding that mission to the devices where work happens. As a mid-level Developer, you’ll help build administrative experiences such as device compliance dashboards and policy configuration tools while contributing to a new product initiative from the ground up. You’ll work closely with Engineering, Product, Design, and infrastructure partners to make complex security information easier for enterprise administrators to understand and act on.
How we’re using AI today
Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers.
This is a remote opportunity within Canada and the US.
What we're looking for:
- You have 2+ years of experience in software development, including building web experiences with React and TypeScript.
- You have experience developing clear, maintainable frontend components and interfaces for complex product requirements.
- You have worked on products serving large user bases and understand how frontend decisions can affect scalability, performance, and optimization.
- You communicate technical concepts clearly and collaborate effectively with engineers, Product, Design, and other cross-functional partners.
- You ask thoughtful questions, reflect on what you’ve learned, and use challenges and mistakes as opportunities to improve your technical judgment.
- You’re comfortable using artificial intelligence (AI)-assisted development tools thoughtfully and understand their capabilities and limitations.
Bonus points for:
- Experience with Rust or Go, full-stack development with a frontend focus, composable design system components, or security, administration, or device management products.
What you can expect:
- Build and maintain administrative interfaces for enterprise customers, including device compliance dashboards and policy configuration tools.
- Develop intuitive experiences that help administrators understand device security posture, identify risks, and take action.
- Contribute to a new Device Security initiative that is still being shaped, with opportunities to influence product direction and technical solutions.
- Initially contribute to client-side work in related product areas before transitioning more fully to Device Security as the initiative develops.
- Collaborate with experienced engineers and cross-functional partners through planning, technical discussions, code reviews, testing, and documentation.
- Grow your technical judgment and ownership through mentorship, knowledge sharing, pair programming, and feedback.
USA-based roles only: The annual base salary for this role is between $123,000 USD and $172,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Canada-based roles only: The annual base salary for this role is between $111,000 CAD and $155,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others.
Our approach to remote work
We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
Location: 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 Staff Product Engineer at Docebo, you won't just ship features—you will define product direction and solve high-impact, ambiguous technical challenges across our entire ecosystem. Operating at the dynamic intersection of product strategy, full-stack architecture, and AI-accelerated execution, you will design scalable, long-lived systems that power the future of work-based learning. In this pivotal role, you will elevate both our modern tech ecosystem and the engineers around you, turning complex technical possibilities into seamless experiences for millions of learners worldwide.
THE DAY-TO-DAY 🛠️
- Architect the Future: Define long-term architectural standards and design resilient systems, leveraging our modern stack—including serverless services, Node.js (TypeScript), Golang, PHP, Angular, React, and AWS cloud infrastructure—to maximize performance and developer velocity.
- Lead High-Impact Initiatives: Spearhead complex, end-to-end, cross-functional product initiatives from problem framing straight through to measurable business outcomes.
- Shape Product Strategy: Partner closely with Product and Design leaders to influence roadmaps, test assumptions, and ensure technical leverage is built into strategic decisions.
- Create AI-Powered Leverage: Institutionalize AI-assisted development practices, standards, and guardrails to help our teams safely ship faster with dramatically higher output.
- Elevate Engineering Excellence: Raise the bar across CI/CD, observability, testing, and operational reliability while eliminating systemic bottlenecks across teams.
- Connect with Customers & Impact: Engage directly with internal stakeholders and customers to deeply understand pain points, using product analytics tools to design experiments and measure results.
- Mentor and Multiply: Coach engineers across disciplines on architecture, product thinking, and AI tools, driving alignment and leading through technical credibility.
YOUR SUPERPOWERS ⚡
- SaaS Mastery: 10–12+ years of full-stack software development experience with a proven track record of designing, building, and shipping complex SaaS products end-to-end.
- Language & Tech Agility: Experience working with multi-language backends and frameworks—our stack uses PHP, Node.js, Golang, Angular, React, and serverless technology—and a readiness to tackle scalability, ADRs, and performance tasks in PHP services without requiring prior PHP proficiency.
- AI-Assisted Power: Mastery of AI-assisted development tools (Claude Code, Cursor, Codex, or similar) with a habit of leveraging them daily to supercharge software output.
- Analytics & Experimentation Drive: Advanced fluency with product analytics platforms (PostHog, Amplitude, Mixpanel) and comfortable driving experimentation through feature flags and A/B testing.
- DevOps & Cloud Proficiency: Advanced experience with CI/CD pipelines, cloud environments (AWS), containerization (Kubernetes), and modern observability practices.
- Ambiguity Navigation: Exceptional ability to break down complex, undefined problems into crisp, executable technical plans with clear tradeoffs.
- Leadership & Collaboration: Outstanding track record of mentoring engineering talent, communicating directly with customers and stakeholders, and influencing cross-functional teams without direct authority.
BONUS POINTS 🎯
- Diverse Tech Expertise: Hands-on experience with modern backend or frontend languages (Node.js, TypeScript, Go, Angular, React Native) that add versatility to our multi-tech ecosystem.
- Advanced Academic Background: A Bachelor’s, Master’s, or PhD in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
OUR INTERVIEW PROCESS 📋
- Step 1: We’ll kick things off with 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 make sure we’re aligned.
- Step 2: A 60-minute video call with the hiring manager, where they’ll dig deeper into your experience, approach, and what excites you most about this opportunity.
- Step 3: A deep-dive technical and architectural assessment to explore your approach to system design, AI leverage, and problem-solving.
- Step 4: A final panel interview focusing on cross-functional collaboration, product strategy alignment, and leadership.
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!
- 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.
ABOUT DOCEBO 💙
At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world.
Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law.
As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities.
Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.
Location: Paris; London
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
Mistral AI is seeking Applied Scientists and Research Engineers focused on formal methods. You will design, train, and deploy SOTA large language models and apply them to diverse use cases.
You'll work cross-functionally with internal and external science, engineering, and product teams to deliver high-impact AI solutions.
WHAT YOU WILL DO
- Run pre-training, post-training and deploy state of the art models on large clusters.
- Generate and curate datasets for theorem proving and software verification, and build evaluators and benchmarks for formal reasoning.
- Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
- Collaborate with cross-functional teams to tackle complex use cases.
- Manage research projects and communications with client research teams.
WHAT WE'RE LOOKING FOR
- Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences.
- Expert with PyTorch or JAX.
- Not afraid of contributing to a big codebase; finds their way around independently with little guidance.
- Writes clean, readable, high-performance, fault-tolerant Python code.
- Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence.
- Low-ego, collaborative and eager to learn.
- Track record of success through personal projects, professional projects or academia.
NICE TO HAVE
- PhD / Master in a relevant field (Computer Science, Mathematics, Machine Learning).
- Experience with autoformalization, proof automation, or verified code generation.
- Experience with reinforcement learning using verifiable rewards, ideally from Lean or other proof assistants.
- Contributions to a large open-source or industry codebase.
- Publications in top academic journals or conferences.
- Enjoys improving existing code: typing, tests, CI pipelines.
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.
УдалённоParis; 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
УдалённоParis; 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
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.
УдалённоParis; 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
Singapore; 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
ГибридleadParis; 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; 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
УдалённоseniorRemote: United States; San Francisco HQ; Remote: Canada
УдалённоRemote (United States | Canada)
ГибридToronto, Ontario
Paris; London; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks