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.
The Role
As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral’s AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes.
You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution.
This role is ideal for those who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact.
What You Will Do
Strategic Discovery & Vision Setting
• Lead executive-level workshops to identify business challenges and opportunities where Mistral’s AI can drive step-change improvements.
• Co-create AI adoption roadmaps with customers, articulating the “art of the possible” and a clear path to value.
• Collaborate with Account Executives to develop business cases, quantify ROI, and align solutions with customer objectives.
AI Solution Design & Deployment
• Architect end-to-end AI solutions, integrating Mistral’s models and platform into customer workflows and technical infrastructure.
• Partner with the Applied AI team to design, prototype, and deploy AI solutions in production, ensuring scalability and impact.
• Own the execution of pilot projects and proofs-of-value, demonstrating the potential of our technology and paving the way for full-scale deployment.
Value Realization & Customer Success
• Serve as a trusted advisor to customers, guiding their AI strategy and ensuring they maximize the value of their investment in Mistral.
• Monitor key performance indicators (KPIs) tied to business outcomes, and communicate progress to executive sponsors.
• Proactively identify expansion opportunities within accounts, building on initial successes to drive long-term partnerships.
Cross-Functional Collaboration
• Act as the bridge between customers and Mistral’s internal teams, synthesizing feedback to influence product and research roadmaps.
• Develop reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery excellence.
• Travel (~30-60%) to foster deep client relationships and support on-site deployment.
What We're Looking For
• 2+ years in a client-facing strategic and technical role (e.g., data science consulting, value engineering, or technical sales).
• You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)
• Foundational knowledge of AI/ML/Data Science, with the credibility to advise both technical and non-technical audiences.
• Hands-on experience building and deploying AI applications (Python, JavaScript, or similar) to demonstrate value.
• Strong business acumen and problem-solving skills, with the ability to structure ambiguous challenges into actionable solutions.
• Executive presence and communication skills to influence senior stakeholders (VP, C-level).
• Hands on experience building and deploying AI applications (Python)
• Resilient, results-driven, and comfortable leading through influence in a collaborative environment.
• Experience with sales qualification frameworks (e.g., MEDDPICC) and value-based selling is a plus.
Why This Role Matters You will play a pivotal role in shaping how enterprises adopt and deploy AI, ensuring Mistral’s solutions deliver measurable impact. By partnering with the Applied AI team, you’ll help turn strategic visions into production-ready solutions, making Mistral an indispensable partner for our customers.
Hiring Process
• Talent Acquisition screening call
• 30min Hiring Manager Interview
• 45min Business Acumen Interview
• 60min Technical Deep Dive on LLMs
• Panel (Home Prep & Restitution)
• 30min Value Talk
• Reference check
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.
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
Location: APAC
About the Role
OKX is looking for a Senior Director of AI to lead both people and product — building and managing a high-calibre AI team while staying deeply involved in the design, evaluation, and production deployment of autonomous agent systems. This role calls for a leader who leads by doing: technically grounded, sharp on product judgment, and able to translate both into tangible business outcomes.
What You'll Do
Team Leadership
— Build, manage, and develop a team of AI engineers and researchers; own hiring, growth, and performance across the function
Agent Product Delivery
— Lead end-to-end delivery of autonomous AI Agent products, covering the full lifecycle from requirements and architecture through to production operations
Eval-Driven Development
— Establish benchmark-driven evaluation frameworks that replace manual iteration with quantifiable quality signals across agent systems
Agent Harness Design
— Design and implement end-to-end Agent Harness infrastructure to ensure agent stability and reliability in complex, real-world scenarios
LLM
Orchestration
— Orchestrate creative reasoning steps alongside deterministic guardrails, finding the right balance between flexibility and control
Engineering Workflow Integration
— Embed AI Agent capabilities deeply into core products and engineering pipelines, improving both developer productivity and business value
Cross-functional Alignment
— Collaborate with product, engineering, and business teams to ensure technical direction stays tightly aligned with strategic priorities
What We're Looking For
Must-have
Master's or PhD in Computer Science, Artificial Intelligence, or a related field (PhD preferred)
10+ years of experience in AI/ML research, productization, or platform development, including core technical or leadership roles at globally recognized technology companies
Deep expertise in LLMs and Generative AI, deep learning, reinforcement learning, recommendation systems, and related areas
Proven track record of translating AI capabilities into measurable business outcomes
End-to-end delivery experience with autonomous AI Agent products, from inception and architecture through to production operations
Hands-on experience integrating AI deeply into engineering and development workflows — such as AI coding assistants, automated code review, or developer productivity tooling
Proficiency in Mandarin and English is required to collaborate across our multilingual, cross-regional teams
Nice to have
Background at an AI-native startup or frontier AI lab, with familiarity with fast-cycle product iteration
AI publications, patents, or industry-recognized technical contributions
Familiarity with the unique technical challenges of applying AI in crypto, fintech, or high-frequency data environments
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Hybrid - Washington D.C
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
About the Program:
Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.
About the Role:
As the Solution Architect, you'll design the backbone of the platform. You'll define the architecture for the data services storefront and own the DataCard governance framework that keeps our data trustworthy, documented, and compliant end to end. Working closely with the engineering team and the Delivery Owner, you'll translate governance and security requirements in a secure federal (IL4) environment into a clean, defensible technical design. It's a role for an architect who cares as much about data stewardship and governance as about elegant systems.
Key Responsibilities:
Own cross-pillar architectural integrity and interface coordination across the 24-week program
Design and stand up the DataCard governance framework: schema design, distribution-statement methodology (DoD Dir. 5230.24), provenance lineage
Deploy and configure ZenML multi-cloud orchestration stack per Innodata Layer 2 Multi-Cloud Architecture v3
Design taxonomy engine and sequestration controls architecture
Confirm NIST SP 800-53 Rev 5 control split between Innodata data-layer and AFS infrastructure-layer scope
Lead platform component run books and per-DataCard documentation in Phase E
Coordinate with AI Solutions Engineer on Kubernetes-adjacent data-layer DLP policy configuration
Coordinate with Backend Engineer on Databricks write-back schema and DataCard write-back path
Must-Have Qualifications:
Bachelor's degree in Computer Science, Data Engineering, or related field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.
10+ years total professional experience, 6+ years in data architecture or platform engineering
Databricks, Delta Lake, and MLflow — hands-on implementation experience, not conceptual
Data governance frameworks: DataCards, provenance, lineage, distribution statement controls
ZenML or equivalent ML orchestration tooling (Airflow or Prefect acceptable; must be willing to ramp ZenML quickly)
Working knowledge of IL4/IL5 boundary concepts, NIST SP 800-53 Rev 5, and DoD data classification requirements
Active Secret clearance with TS/SCI eligibility
Nice-to-Have Qualifications:
Prior Innodata or annotation platform architecture experience
MLflow model governance and registry hands-on experience
Ontology and taxonomy design for AI/ML training datasets
DoD Directive 5230.24 distribution statement implementation experience
The expected hourly salary range for this position is $70 to $75 p/hour, based on experience, skills, and qualifications.
Note to Candidates:
This role is the primary technical decision-maker on the program below the Delivery Owner. The SA is expected to make architectural calls independently within the established framework and surface only unresolved cross-cutting decisions to the Delivery Owner.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Hybrid - Washington D.C
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
About the Program:
Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.
About the Role:
As the Data/Annotation Engineer, you'll be hands-on with the data itself. You'll administer the annotation toolchain, manage annotation workflows across the corpus, and produce the per-dataset documentation that feeds our governance framework. You'll work with the AI Solutions Engineer to ensure the data going into our models is accurate, well-labeled, and fully traceable. This role is for someone detail-obsessed who understands that great AI starts with disciplined, well-governed data.
Key Responsibilities:
Receive, validate, ingest, and ontology-map the ODIN mission-aligned corpus from AFS delivery
Produce the ODIN load report: corpus description, ontology mapping, readiness state
Configure CVAT annotation pipeline against the Phase 1 starter kit rule pack
Operate both self-service and lightweight white-glove annotation paths during Phase D corpus production
Produce 50–100 label demonstration corpus across synthetic and mission-aligned content
Support QA/Evaluation Lead on QC execution and corpus annotation dry-runs
Associate DataCard provenance records with annotated and synthetic outputs in coordination with the Solution Architect
Must-Have Qualifications:
Bachelor's degree in Data Science, Computer Science, or related field preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.
5+ years total professional experience, 3+ years in data engineering or annotation operations
CVAT — deployment and day-to-day operation required; this is not a nice-to-have
Annotated dataset ingest pipelines: schema mapping, format validation, ontology alignment
Full-motion video (FMV) annotation concepts and tooling
Python scripting for data wrangling, validation, and format conversion
Active Secret clearance with TS/SCI eligibility
Nice-to-Have Qualifications:
Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis
CVAT annotation platform — AI feature configuration and operation
DoD or IC data program experience: CUI, distribution statements, federal data governance
Evaluation design for AI/ML training data: IAA methodology, drift detection, model performance measurement
Video understanding or FMV annotation experience
DataCard or ML data provenance framework familiarity
The expected hourly salary range for this position is $55 to $60 p/hour, based on experience, skills, and qualifications.
Note to Candidates:
Phase D corpus production (Weeks 17–19) is the core demonstration deliverable. Candidates must be genuinely comfortable operating CVAT at production quality against a mission dataset under a milestone deadline
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: CAN: Vancouver (333 Seymour St)
Workplace: Hybrid
The role / impact
You will deliver high-quality, impactful software that aligns with team and business goals, always keeping customer needs and outcomes front of mind. By identifying and solving complex, ambiguous problems independently, you will produce robust, high-quality, and scalable software that helps change the world by supporting small businesses. Your daily work will focus on systems, scalability, and engineering quality while collaborating across teams to drive technical excellence and developer efficiency.
Through clear and thoughtful communication, you will ensure stakeholders are well-informed and aligned. You will play a key part in fostering an inclusive team culture by mentoring others and sharing feedback with empathy. Your active participation in planning, delivery, and continuous improvement will contribute directly to the success of the broader Xero community.
The team / how they connect
You will join the Accounting Core team within Product Platforms, which forms the critical foundation underneath core product areas like invoices, bills, payments, and payroll. The team exists to make it easy for other groups across Xero to build on a strong foundation of accounting concepts, data, and libraries safely and efficiently. Operating across Wellington and Vancouver, we collaborate closely to reduce tight coupling, establish clear service boundaries, and accelerate product velocity global-wide.
The team is currently working on / Initially, you will focus on
- Transitioning from a monolithic architecture to modern microservices to remove delivery bottlenecks and improve efficiency.
- Building and operating services in a production cloud environment utilizing C#, .NET Core, and AWS.
- Resolving complex legacy problems, database scalability challenges, and modernizing service interfaces or APIs.
- Automating manual processes and applying test-driven and trunk-based development practices.
Where and how you can work
This role is based at our on-site location in Vancouver. We operate on a hybrid model where you will spend one to two days a week in the office for collaborative technical discussions and team alignment, with the flexibility to work from home on the other days. You will also have the opportunity to travel to New Zealand for onboarding after your first couple of weeks.
Here are some of the things we are looking for
- You bring proficient backend development experience with one or more programming languages such as C#, .NET, Java, or Go.
- A solid understanding of distributed systems concepts, including service-to-service communication, eventual consistency, and resilience patterns belongs in your toolkit.
- Your background features practical experience working with relational databases where transactional data integrity and ACID principles are critical.
- Having a familiar working knowledge of modern DevOps practices, automated testing, and continuous integration pipelines will help you succeed.
- Showing an interest in utilizing modern artificial intelligence tools will enable you to enhance personal productivity and streamline engineering workflows.
- You possess strong communication and collaboration skills, with the capacity to manage internal stakeholders like a technical product partner.
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Compensation & Total Rewards
At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits.
The expected base salary range for this role is 131,800 - 150,000 CAD.
Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role.
In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation:
- Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance.
- Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets.
This is a posting for an existing vacancy.
Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.
Location: Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About The Opportunity
Core product role within the Advanced Trading PM team. Own advanced trading product lines and trading features for our onshore compliant markets(
EEA
,US,SG,UAE and etc) — from strategy and
PRD
to launch and iteration — while keeping our product mechanics competitive with leading CEXs.
What You'll Be Doing
Product Ownership:
Own the roadmap and delivery for assigned advanced trading product areas: account/margin model, order lifecycle, position management, market data surfaces, and trading UI on Web and App.
Write clear PRDs and user stories; drive designs through review,
UAT
, launch, and post-launch iteration.
Define success metrics and run continuous improvement loops on trading experience, liquidity quality, and risk outcomes.
Competitive & Market Insight:
Continuously benchmark against leading CEXs (Binance, Bybit, Coinbase, Kraken, Bitget, etc.) — deconstruct product mechanisms, fee/liquidity models,
UX
, and new launches.
Track TradFi derivatives and onshore compliant-market developments; surface actionable opportunities.
Trading Experience:
Improve speed-to-trade, order tickets, Kline/charting, and active-trader retention features on Web and App.
Partner with design and engineering to ship polished, high-performance trading surfaces.
Liquidity, Execution & Risk:
Contribute to liquidity parameters, fee tier design, and execution-quality tracking (spread, depth, slippage, fill-rate) under senior guidance.
Support risk framework work: price limits, funding rate, index/mark price logic, leverage & position tiers — translating requirements into product specs.
Compliant-Market Delivery:
Work with compliance, legal, and local entity leads to deliver product changes for licensed jurisdictions (SG, EU/
MiCA
, HK, US, BR, AU, UAE).
Translate regulatory requirements into product specs without over-degrading UX.
Cross-Functional Execution:
Partner day-to-day with engineering, quant/risk, design,
ops
, BD, and institutional client teams.
Communicate progress, risks, and tradeoffs clearly to the team lead and stakeholders.
What We Look For In You
5+ years of product management experience, with at least 3+ years on crypto trading products (derivatives strongly preferred).
Solid working knowledge of CEX product mechanisms: perpetuals/futures/options, margin models, funding rates, index/mark price, liquidation, order types, market microstructure
Hands-on experience shipping trading features on Web and/or App at a top-tier CEX or comparable trading platform.
Basic understanding of exchange liquidity economics and risk frameworks (maker/
taker
fees, position tiers, leverage curves).
Strong written PRDs, structured thinking, and cross-functional execution.
Fluent English; Mandarin a plus.
Nice to Haves
Direct competitor experience at a leading CEX.
Familiarity with at least one onshore compliant market (EEA, US, SG, AU, UAE, TR, BR).
Prior experience at a traditional brokerage / TradFi exchange (e.g., IBKR, Futu, Tiger, Robinhood, CME, HKEX, SGX) — especially derivatives, margin, or trading UX.
Familiarity with smart contracts, token economics, or tokenized RWAs.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: CAN: Vancouver (333 Seymour St)
Workplace: Hybrid
The role / impact
You will focus on solving engineering problems at scale, moving beyond feature delivery to influence the architecture and implementation of distributed systems. By refactoring complex, monolithic systems and building high-quality, scalable software, your work ensures our platform remains robust and reliable for millions of global users.
As a senior member of the team, you will have the autonomy to make major code design decisions and contribute to global engineering standards. You will balance technical excellence with mentorship, acting as a role model and coaching others through complex technical challenges to help them grow.
The team / how they connect
You will join a collaborative environment where engineers, product owners, and designers work together using agile and delivery practices to ship meaningful code. The team prioritizes continuous learning and mastery, frequently participating in code reviews and knowledge-sharing sessions to maintain a high bar for technical craft.
The team is currently working on / Initially, you will focus on
- Modernizing systems by refactoring monolithic components into distributed, scalable architectures.
- Enhancing the developer experience through the maturation of CI/CD concepts, tooling, and TDD practices.
- Building and maintaining a diverse tech stack that includes C#,.Net, React, AWS, and Kubernetes.
- Developing and implementing technical solution designs that align with long-term engineering frameworks.
Where and how you can work
This role is based in our Vancouver office, where we embrace a hybrid working model. You will have the flexibility to work from home while joining the team in the office for "boost days" (1-2 days a week) to collaborate, socialize, and solve complex problems in person.
Here are some of the things we are looking for
- Proven experience delivering and operating complex, large-scale systems (distributed/high-availability environments), with strong fundamentals and the ability to ramp quickly across adjacent technologies (we’re tech-stack agnostic).
- You bring a growth mindset and a passion for proactively maintaining and sharing technical knowledge with your peers.
- A background in designing and building high-quality software within a range of languages and tools is essential.
- You possess the ability to lead major code design decisions and contribute to wider technical solutioning.
- Experience with modern engineering practices like automated testing, refactoring, and agile delivery is key to your success.
- You enjoy mentoring other engineers and helping them grow their technical skills through supportive coaching.
- A deep care for technical excellence and a drive to solve large-scale engineering challenges motivates your daily work.
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. We are also tech stack agnostic, so please apply if you've worked with adjacent technologies.
Compensation Philosophy
At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits.
The base salary range for this role in Canada is $155,000 - $205,000 CAD.
Please note that this range represents base salary only. We believe in rewarding our people for their total contribution, which is why we look at compensation through a holistic lens. In addition to base pay, your total package may include:
- Variable Pay: Eligibility commissions or equity based on role and performance.
- Comprehensive Benefits: World-class health, wellness, and retirement programs.
- Xero Perks: Inside Xero https://careers.xero.com/inside-xero/benefits-wellbeing/ Explore our full suite of benefits, from wellbeing initiatives to professional development.
Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role
Location: New York Office
Workplace: Hybrid
The role
Taktile powers millions of decisions a day for cutting-edge financial institutions, and some of the most interesting work we do happens alongside leading advisory firms.
The hard part of AI in financial services isn't the technology, but the transformation around it. That is where consulting firms excel: strategic vision, deep industry expertise, and the experience of driving change inside large, complex organizations. Together we take clients from strategy through to AI running in production, reliably and at scale.
Customer demand for that combination keeps growing, and we want to meet much more of it. This role owns how we do that: a portfolio of relationships with the world's leading strategy and implementation firms, from first conversation through to joint delivery and formalized go-to-market.
You'd own the execution and write the playbook as you go. We have active relationships, clear targets, and an approach that works. What's open is how far we take it and how we scale it across firms and regions.
What you'll do
- Identify and activate our champions inside target firms
- Run structured account mapping sessions and open active deal threads with each firm
- Enable partner teams on Taktile's platform and our joint solution narrative
- Formalize relationships with clear KPIs, referral agreements, and co-marketing commitments once deal flow is proven
- Act as the orchestrator between Taktile and our partners to ensure joint client engagements run smoothly
- Own a partnerships pipeline target and report on leading indicators
- Collaborate with marketing on joint assets: white papers, case studies, co-branded events, thought leadership
- Travel regularly to build and deepen partner relationships
- Evolve our partnerships program as it scales
What we're looking for
- Background: You are a high-agency generalist and strong relationship builder with 3–7 years of experience, ideally with an investing (Tier-1 fund) or consulting (MBB or Big 4) background followed by a commercial role at a high-growth B2B software company
- Builder mentality: You're energized by ambiguity, not paralyzed by it. You'll help build the playbook, not inherit it
- Commercial instinct: You understand what drives a consulting partner's incentives and can speak that language credibly
- Structured thinker: You can manage 5–6 relationships at different stages simultaneously and know which levers to pull on each
Why now, why Taktile
Consulting partnerships are moving from a set of strong relationships to a core part of how Taktile reaches enterprises. You'd arrive with active threads at almost every major firm, a CRO who has built these programs before, and strong momentum from first joint wins. Early enough that you define how this works, established enough that you're not starting from a blank page.
What We Offer
- Work with colleagues who lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here.
- Make an impact and meaningfully shape an early-stage company.
- Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo.
- Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.
- Receive a top-of-market equity and cash compensation package.
- Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes.
- Use the equipment of your choice including meaningful home office set-up.
Our Stance
- We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply.
- We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or whether you've experienced discrimination, but if you want to tell your story, we are all ears.
About Us
Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com.
About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process.
Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references.
How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities.
Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)).
Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records.
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By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com
Location: Warsaw
The Product Management team drives Asana’s product strategy and execution, translating customer needs and opportunities into a compelling roadmap and working cross-functionally to deliver impactful solutions for team productivity and collaboration. We’re helping to define the Work Management category and inventing new ways for teams to work more efficiently together and see the larger purpose behind their work. Our team works directly with Engineering, Design, Experience Research, and Data Science, as well as with Sales, Support, and Marketing to ship great products. You’ll take part in every type of product work here — from strategy to product to process improvements — conceptualizing, launching, and iterating on Asana itself for millions of teams around the world.
We are looking for an experienced product manager to join the team responsible for key elements of Asana’s work platform strategy. Over the next 2 years, a critical piece of Asana’s strategy is to continue building out a platform that can support many different types of workflows. You’ll be responsible for understanding how customers’ need to structure work to enable their workflows and build out the features to meet those needs directly, and enable other Asana R&D teams to incorporate structure into their features. You’ll work with a large set of cross-functional partners across both our GTM and internal teams to learn about how internal and external customers of all sizes need to customize their core Asana experience to support their workflows, and how your work fits within the entire customer lifecycle so that we customers feel confident in structuring their work in the right way at the right time to power.
This role is perfect for a product manager with deep customer empathy for the complexity of mapping messy work to a structured tool, has an end-to-end ownership mindset, and drives for results. We are looking for someone who has experience building software in partnership with enterprise customers, strong product intuition, and can marry qualitative insights with quantitative data to deeply understand the customer experience. You thrive on learning from customers, and are excited to partner with engineering, design, user research, sales, and the rest of our amazing PM team.
This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.
What you’ll achieve
Define and deliver a compelling roadmap to ensure customers have the structure they need to power their end to end workflows.Synthesize input from customers, user research, data science, and business partners, ensuring we are continuously investing in the right ways to structure work, and shifting quickly when an area is no longer leveraged.Take new initiatives from 0 to 1, and then scale them up, as we validate product market fitPartner closely with design, engineering, marketing, and customer success to co-create a cohesive end to end journey and execute on the roadmap with velocity.Collaborate across the R&D organization to support other R&D teams in achieving their goals.
About you
5+ years of experience as a Product Manager, with at least 1-2 years experience on B2B SaaS.
Customer-centric:
You spend time directly with customers to understand their nuanced challenges and synthesizing research to identify and solve problems..
Communication and collaboration:
Demonstrate strong communication and collaboration skills with cross-functional teams, clarifying complex concepts and writing precise product specifications. You pair effectively with design, engineering, and our business teams.
Systems thinker:
Think systemically, creating solutions that simplify complex use cases for customers.
Strategic:
Provide strategic insights and create intuitive connections within the custom field & types features and platform to address critical customer issues.
Get Stuff Done:
Execute projects with high velocity, breaking them down into MVPs and iterative stages for impactful delivery.
Grow Team Asana:
Foster team morale and share best practices in product management.
Growth Mindset:
Embrace a growth mindset, welcoming feedback and maintaining curiosity in learning.
At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.
What we’ll offer
Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.
For this role, the estimated base salary range is between 29,000 - 31,935PLN. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.
In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.
We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:
Mental health, wellness & fitness benefits
Career coaching & support
Inclusive family building benefits
Long-term savings or retirement plans
In-office culinary options to cater to your dietary preferences
These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.
#LI-Hybrid
About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Join Asana’s Talent Network
to stay up to date on job opportunities and life at Asana.
Location: Paris
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
We are seeking an Applied AI, Forward Deployed Engineer to build customer use cases on top of the Mistral stack. You will turn "we have agents" into "we shipped something a client uses." This role is about composing cybersecurity-related agentic workflows, configuring harnesses for real-world scenarios, and delivering value directly to clients.
As a Forward Deployed Engineer at Mistral, you may also work on use cases outside cybersecurity, bringing the same context engineering, orchestration, and eval work to enterprise workflows in finance, manufacturing, defense, or the public sector.
What You Will Do
- Client-Facing Agentic Solutions
- You'll individually help deploy into production use cases with considerable business impact across various industries, with cybersecurity client assignments as a priority
- You'll work on state-of-the-art GenAI applications, driving a crucial technological transformation together with our customers
- Tackle iconic use cases that no existing solution on the market can address - from custom configuration of cybersecurity harnesses for cloud defense, to optimizing agentic vulnerability scanning solutions, to customizing agentic red-teaming solutions or penetration testing scenarios
- You'll work directly on client use cases, translating security requirements into agentic solutions
- You'll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations, providing technical guidance on our products and explaining Mistral technologies to various stakeholders
- You'll collaborate with our product and science teams to continuously improve our product and model capabilities based on customer feedback
How We Work in Applied AI
- We care about people and outputs
- What matters is what you ship, not the time you spend on it
- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week
- Always ask why. The best solutions come from deep understanding, not from copying what worked before
- We say what we mean. Feedback is direct, timely, and given because we care
- No politics. Low ego, high standards
- We embrace an unstructured environment and find joy in it
About You
- You are fluent in English
- You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
- You have proven experience in AI or machine learning product implementation with APIs, back-end, and front-end interfaces
- You have experience tackling advanced RAG, building agentic use cases, or fine-tuning LLMs
- You have a deep understanding of the concepts and algorithms underlying machine learning and LLMs
- You have strong technical coding skills in Python
- You have strong communication skills, with an ability to explain complex technical concepts in simple terms to both technical and non-technical audiences
Ideally, you have:
- Contributed to open-source projects, in particular in the space of LLMs
- Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager
- Hands-on experience building agents, LLM orchestration, context engineering, evals, and RAG systems
- A bias toward action and delivery - you ship fast
- The ability to operate independently with a customer-led mindset
- The ability to reuse internal building blocks and components effectively
- Strong problem-solving abilities and attention to detail
- A collaborative attitude
- Pentesting knowledge
- Experience developing a cybersecurity product
- Experience building agentic harnesses or multi-agent systems end-to-end
- A strong background in evals and benchmarking of agent systems
- Experience with security tooling or workflows
- Prior work on production AI systems in regulated or high-stakes environments
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
Who we are
Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase.
With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once.
Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love.
If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us.
Hours & location
🌎 While we hire
almost anywhere
in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week.
Preferred locations:
EST
Europe
Why this job is exciting
Source code is at the heart of Sourcegraph. We support multiple code hosts and retrieve, store, index, and serve source code - to end users, admins, and other internal services.
This role gives you the opportunity to solve complex, challenging, and highly technical problems for our customers, both internally and externally, help unleash the potential and productivity of our Engineering teams, and delight our customers with industry-leading quality software.
The Platform team primarily focuses on building a fully managed platform for using Sourcegraph, Sourcegraph Cloud, our SaaS offering. As a member of the Platform team, you will work closely with both external customers and internal stakeholders to meet their needs. You will:
Develop inter-cloud connectivity solutions to support enterprise customers from highly regulated industries to use Sourcegraph Cloud.
Build a control plane to orchestrate a fleet of single-tenant Sourcegraph Cloud instances.
Expose complex infrastructure as API to support internal customers to iterate faster.
Dive into upstream dependencies (e.g., CDK for Terraform, Terraform providers for GCP) to debug and patch non-trivial problems.
Be an advocate for building reliable services and work with leadership to help product teams achieve operational excellence.
Participate in on-call rotation to uphold our contractual SLA commitments.
📅 Within one month, you will…
Onboard onto the Sourcegraph architecture, tooling, and development workflow.
Build a solid understanding of the team’s areas of ownership, technical challenges, and problems the team solves for our customers, and know how all of these align with the top-level company goals.
Actively participate in team meetings, sharing ideas and insights to contribute to the overall team goals.
Start contributing to the team goals and deliverables by shipping new features, debugging issues, and fixing bugs.
📅 Within three months, you will…
Demonstrate a comprehensive understanding of the Cloud infrastructure, its underlying technologies, and its integration within the Sourcegraph ecosystem.
Lead initiatives contributing to team goals through both discovery and delivery phases, collaborating directly with product and design partners, other engineering teams, and non-technical stakeholders from different departments.
Contribute to the architectural design and implementation of new features or improvements, actively shaping the future direction of Cloud infrastructure based on customer needs.
Lead initiatives contributing to team goals on the roadmap by going through the entire product development lifecycle discovery, design, implementation, and delivery.
Participate in our on-call rotation.
📅 Within six months, you will…
Be defining long-term technical vision and strategies for new product development, scaling existing services, and managing technical debt. These plans will consist of multiple smaller milestones that you will deliver iteratively with the team.
Collaborate with the Engineering Manager on defining the team’s growth strategy based on the long-term product vision, the technical vision, and the team’s needs.
Seek feedback from customers and stakeholders to identify opportunities for further improvements or new features, actively iterating on the Cloud infrastructure to ensure it continues to meet our high bar.
About you
You bring a product mindset in balancing architectural flexibility and philosophy with meeting immediate customer demand. You are an experienced software engineer who seeks to solve problems by writing code rather than through one-off operations. You are passionate about user experience and self-service. You balance maintaining and designing high-impact systems with a pragmatic understanding of how to make appropriate tradeoffs (e.g., cut scope, low-tech vs. custom complex solutions) to ship quickly and iterate when necessary.
Qualifications:
Proficiency in Go, or other strongly typed languages.
Knowledge in one of the public cloud platform providers (GCP, AWS, Azure)
Experience with Terraform (or similar IaC solutions) and Kubernetes to build tooling and automation.
Skilled at debugging distributed systems, followed by designing and implementing solutions to those problems. This means you should know your way around various OS-level primitives, e.g., network, CPU, and memory.
Ability to communicate clearly and empathetically, especially in writing and documentation.
Preferred time zone between UTC-8 and UTC+2
Nice to haves:
Built services and exposed them as API for external consumption (e.g., gRPC).
Comfortable implementing system-level software (e.g., custom transport protocol) if needed or has contributed to Kubernetes controllers/operators.
Published blog posts and/or tech talks about your work.
Experience working on small high-performing teams, preferably tech startups.
Level
📊 This job is an IC3. You can read more about
our job leveling philosophy
in our Handbook.
Compensation
💸
We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an
open and transparent
company, our
compensation philosophy
and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive.
Your base salary is determined by the IC3 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone.
💰The starting salary for the IC3 pay band in each zone is:
Zone 2: $148,000 USD
Zone 3: $111,000 USD
Zone 4: $74,000 USD
📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous
perks & benefits
.
Interview process
Below is the interview process you can expect for this role (you can read more about
the types of interviews
in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all!
We expect the interview process to take 4.75 hours in total.
👋 Introduction Stage
- we have initial conversations to get to know you better…
[30m]
Recruiter Screen
[30m]
Hiring Manager Screen
🧑💻 Team Interview Stage
- we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners…
[Async] Take-home exercise
[60m]
Take-home exercise walkthrough + System Design
[60m]
Pairing Exercise
[60m]
Resume Deep Dive
[60m]
Cross-functional Team Collaboration Interview
/
Values Interview
🎉 Final Interview Stage
- we move you to our final round, where you gain a better understanding of our business and values holistically…
[30m]
Leadership
We check references and conduct your background check
Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process.
Learn more about us
You can learn more about what it is like to work at Sourcegraph by reading
our handbook
.
We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our
culture
,
competitive compensation
and
benefits
here.
Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds.
Sourcegraph participates in
E-Verify
for U.S. Employees.
Location: Paris
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
On average, our team leads are responsible for teams of about five people, owning both execution and delivery while remaining hands-on. You will split your time dynamically between individual contribution and leadership, with the balance shifting as your team grows.
You will collaborate closely with engineering teams to ship improvements that directly accelerate development velocity, enhance code quality, and streamline workflows across our AI platform and products: AI Studio, Le Chat, and Mistral Vibe. You will be responsible for creating a strong team culture, setting clear processes, raising the developer experience bar, and ensuring consistent high-quality delivery of developer tooling and infrastructure.
This is a highly critical role at the intersection of developer productivity, infrastructure, and people. You will help shape how our engineering organization builds at scale. If you enjoy building developer platforms, leading ambitious engineers, and shipping tooling that supercharges productivity, this role is for you.
What you will do
• Empower Your Team: Act as the clear point of contact for your team and its projects. Remove obstacles, unblock execution, and create an environment where engineers can focus on building impactful developer tools and platforms.
• Lead Delivery and Accountability: Own the delivery of your team’s roadmap for developer experience improvements, including projects like enhancing CI/CD and build systems, optimizing cloud registries (Docker, Azure, GCP), implementing static and dynamic code analysis tools, and automated vulnerability analysis. Ensure projects are shipped with the right level of quality, reliability, and performance.
• Bridge Engineering and Productivity: Partner closely with engineering teams to define the roadmap and priorities for developer experience. Scope initiatives, estimate engineering effort, and drive prioritization decisions based on developer productivity impact and technical necessity. Keep the whole team involved and engaged in the product direction.
• Hands-on Technical Leadership: Stay deeply involved in architecture design, system design, coding, peer reviews, and technical decision-making for developer tooling. Lead by example and remain connected to the day-to-day challenges of the team.
• Process and Clarity: Define and evolve team processes, best practices, and execution rituals for developer workflows. Ensure they remain relevant as the team and product scale.
• Raise the bar: Challenge engineers to step up, take ownership, and grow beyond their comfort zone. Increase the team’s bus factor through knowledge sharing, documentation, and rotation of responsibilities. Champion a culture of continuous improvement in developer productivity.
About you
• 5+ years of relevant professional work experience in Developer Experience (DevEx), DevOps, or related fields.
• Master’s degree in Computer Science, Information Technology, or a related field.
• Proficiency in scripting and programming languages (Python, JavaScript/TypeScript, Go) and experience with infrastructure as code tools.
• Experience with building and leading high-performing teams in developer tooling or infrastructure.
• Experience working with cross-functional teams including product, design, and business.
• Experience with project management and planning for infrastructure and tooling initiatives.
• Ownership and capacity to ship developer tooling and platforms end-to-end.
• Strong experience with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), cloud infrastructure (AWS, GCP, Azure), build systems, container registries, and developer tooling.
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: Worldwide
Workplace: hybrid
The Group Coordinator onboard the cruise ship Aroya will oversee and manage group bookings and events, ensuring seamless coordination and communication between the ship’s departments and the group host. The Group Coordinator will also handle special requests, organize group events, and provide personalized assistance to ensure an exceptional experience for the group.
Responsibilities
Coordinate all aspects of group bookings, including reservations and onboard activities.
Serve as the primary point of contact for group leaders, assisting with any inquiries or special requests.
Organize and oversee group events, ensuring all logistical details are executed flawlessly.
Collaborate with other ship departments (e.g., Food & Beverage, Housekeeping, Entertainment) to meet group needs.
Handle any last-minute changes or challenges, providing effective and prompt solutions.
Assist with the distribution of welcome packages, event schedules, and promotional materials to group members.
Maintain accurate records of group activities, requests, and special requirements.
Ensure compliance with all guest service standards and protocols.
Act as a liaison between the group clients and shipboard teams to ensure smooth communication and coordination.
Provide exceptional customer service to enhance group members’ overall experience.
Assist with pre-cruise planning by communicating with group leaders regarding onboard expectations and requirements.
Monitor and update group accounts and reservations, ensuring accuracy and up-to-date information.
Facilitate pre-arrival preparations such as cabin assignments and special requests for group guests.
Manage VIP group requests, providing enhanced services to high-profile group guests.
Collect and address feedback from group leaders and members to continually improve service delivery.
Requirements:
Previous experience in group coordination, event planning, or a similar role, preferably in a cruise ship.
Strong organizational skills and attention to detail.
Excellent communication and interpersonal skills.
Ability to multitask and handle dynamic, fast-paced environments.
Proficiency in computer systems, including reservation software.
Problem-solving abilities and the ability to work under pressure.
Fluency in English and Arabic; additional languages are a plus.
Documentation Requirements:
Valid passport and visas as required.
STCW certification or willingness to obtain.
Valid Medical certificates
For Pooling purposes
Contract length: 4 months on/ 2 off
Location: Madrid, Spain
Workplace: hybrid
Are you ready to join our digital revolution journey?
At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.
Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.
With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career.
About The Role:
We're an advertising company that lives or dies by how well we connect to the outside world. We integrate with the major social and ad platforms (Meta, Google, TikTok, LinkedIn, Snap, and more) and wire them into our internal systems for billing and reporting. Data moves constantly and in both directions, at scale, and a meaningful part of our estate is legacy. You'll own the technical direction that keeps all of this coherent, resilient, and evolvable — and you'll stay close enough to the code to prove it.
This is the top of our individual-contributor ladder. You won't have direct reports; your leverage comes from setting direction, building the hard parts yourself, writing the decisions down, and getting engineers and leadership to build behind them. This is not a role that only draws diagrams — you'll ship production code on the riskiest paths, cut the spike that de-risks a migration, and go deep in the incidents nobody else can crack. We work across PHP, Go, Python, TypeScript, and JavaScript; PHP and Go are both first-class and here to stay, and the right tool for a problem can land in either. You'll be the person who decides where new capability lands, how legacy gets retired, and how we absorb the constant churn of third-party APIs without breaking delivery.
What You'll Own:
The integration architecture for ingesting from and pushing to external ad/social platforms — versioning, rate limits, backfills, idempotency, webhooks, and graceful degradation when a partner API changes underneath us.
The data architecture for information flowing between platforms and internal systems: pipelines, reconciliation, contracts between services, and the path from operational data to reporting.
A pragmatic strategy for modernizing the legacy estate — strangler-fig migrations, clear service boundaries, and sound judgement about which language and pattern fit each problem — carried far enough into code that teams can follow the pattern.
The engineering bar for integration and data work: the reference implementations, patterns, and standards the org builds against, ratified through the technical committee.
What You'll Do:
Set the technical direction for new products and major changes, and stay the technical decision-maker through build and post-launch — with the authority to course-correct when implementation drifts, and the habit of being in the codebase to catch the drift early.
Build the hard parts yourself.
Write production code on the riskiest, highest-leverage paths; prototype the uncertain approach to turn an argument into evidence; build the reference implementation others extend.
Turn intangible trade-offs — partner API risk, team capability, long-term scalability, cost of change — into clear, written decisions (ADRs) that leadership and the technical committee can sign off on.
Define service and data contracts, integration patterns, and resilience strategies that survive third-party API deprecations and outages.
Go deep when it breaks: lead diagnosis on the gnarliest production incidents and performance regressions, and land the fix and the systemic follow-up.
Identify the infrastructure (compute, data, messaging, observability) needed to meet current and near-future goals.
Raise the bar through others:
mentor engineers and tech leads, set the standard in code review, and drive cross-functional decisions across engineering, product, security, and operations — through influence, not line management.
Evaluate third-party and vendor solutions against our integration and data requirements.
Monitor systems against performance and business benchmarks and escalate with concrete recommendations.
What We're Looking For:
Substantial experience as a staff/principal engineer (or equivalent) on
integration-heavy, data-heavy systems
— ideally where you didn't control the external APIs.
Still hands-on.
You lead by building, and you're demonstrably strong in production code, not only in design.
Depth in at least one of
PHP, Go, or Python
, and comfort across a polyglot estate (TS/JS on the front).
A track record of
modernising legacy systems incrementally
without halting delivery.
Fluency in integration and data patterns: idempotency, eventual consistency, rate limiting, queuing, backfills/reconciliation, API versioning.
A history of
driving technical decisions through influence rather than authority
— getting senior leadership and peer engineers to commit to a direction, and backing it with working code.
Nice To Have:
Experience with ad/martech platform APIs (Meta Marketing, Google Ads, TikTok, etc.).
Data warehouse / analytics pipeline experience (e.g. BigQuery).
Multi-region, multi-currency, or high-volume billing/reconciliation backgrounds.
Why Join Us?
Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.
We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.
#ALEPH
Location: United Kingdom, London
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Department overview:
At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. The
CLV team
focuses on understanding player behaviour and driving more effective engagement across the player lifecycle — from acquisition and onboarding through to retention, monetisation, and long-term value.
As a
Data Scientist
, you will develop models and insights that help drive more personalised player experiences and inform commercial and product decisions at scale. You will work in cross-functional teams to translate player behaviour into actionable strategies that drive measurable improvements in player engagement and value.
This role is ideal for an individual who is comfortable owning problems end-to-end — from framing and modelling through to delivering impact — and partnering with stakeholders to support data-informed decision-making.
What you’ll be doing:
Own the development and delivery of machine learning models for use cases such as churn prediction, purchase propensity, store recommendations, customer lifetime value.
Translate business problems into modelling approaches, selecting appropriate methods and features to deliver measurable impact.
Work with large-scale behavioural and transactional data to uncover patterns and opportunities for player growth and engagement.
Collaborate within cross-functional teams, including engineering, product, and commercial stakeholders, to ensure solutions are robust, scalable, and aligned with business needs.
Partner with stakeholders across commercial, finance, and lifecycle teams to support decision-making with data-driven insights.
Clearly communicate findings and recommendations to both technical and non-technical audiences.
Develop and expand your understanding of more advanced modelling approaches (e.g. deep learning and sequence-based methods) as part of solving increasingly complex problems.
What we are looking for:
You're curious, analytical, and a strong problem-solver, with a structured approach to tackling business problems. You bring strong foundations in modelling and data manipulation, and are motivated by applying these to impactful, commercial problems.
Experience building predictive models (e.g. churn, propensity, segmentation, or value modelling) in a commercial setting.
Ability to independently take a problem from definition through to solution and delivery, demonstrating initiative and ownership.
Proficiency in Python and SQL, and familiarity with common data science and ML libraries.
Solid understanding of machine learning techniques (e.g. regression, tree-based models, clustering) and when to apply them, including how to refine and tune them for real-world problems.
Strong communication and collaboration skills, with the ability to clearly articulate insights and work effectively with cross-functional stakeholders.
Awareness of modern machine learning approaches (e.g. embeddings, sequence models, deep learning) and interest in applying them to real-world problems.
Experience working with large datasets to generate actionable insights.
A strong academic background, typically a Master’s or Ph.D. in a quantitative or technical field (e.g. Mathematics, Statistics, Computer Science).
Nice to Have:
Familiarity with production environments, MLOps, or data pipelines.
Experience working with large-scale data using PySpark or equivalent distributed data processing tools.
Experience in gaming, e-commerce, or subscription-based products.
Benefits:
Discretionary bonus opportunity
Private Medical Insurance
Dental Scheme
25 days holiday per year
On Site Gym
Subsidised Café
Free soft drinks
On site bar
Access to cycle garage and showers
Please refer to our
Candidate Privacy Notice
for more information about how we process your personal information, and your data protection rights.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Relocate to Singapore.
About Airwallex:
Airwallex is a unified payments and financial platform for global businesses, empowering over 200,000 businesses worldwide with integrated solutions for business accounts, payments, spend management, treasury, and embedded finance at a global scale. Founded in Melbourne, with over 2,200 employees across 26 offices globally, valued at US$8 billion and backed by leading investors.
Attributes We Value:
We seek successful builders with founder-like energy, strong role-related expertise, sharp thinking, motivation by mission and operating principles, good judgment, curiosity, and ability to make decisions balancing speed and rigor. Candidates are humble, collaborative, able to turn ideas into real products, and use AI to work smarter.
About the team:
Join the Global Treasury Payment Network (GTPN) product team, responsible for Airwallex's core money-movement platform enabling global fund movement through accounts, wallets, FX, and direct debit rails. The team focuses on reliable, scalable products, rapid iteration, and career growth.
What you’ll do:
- Own full lifecycle of global money movement infrastructure: strategy, roadmap, partner assessment, solution design, delivery.
- Leverage AI/ML insights to optimize payment routing, reduce transaction costs, detect fraud, and improve operational efficiency.
- Communicate product strategy and prioritization based on user research, market insights, and competitive analysis.
- Manage and mentor a high-performing team of Product Managers.
- Collaborate with financial partners, engineering, operations, and commercial teams to build scalable, reliable, compliant infrastructure supporting high-volume transactions.
- Serve as subject matter expert for money movement within Airwallex.
- Rapidly iterate on product launches, feature enhancements, and customer feedback to improve speed, cost-efficiency, and customer experience.
Who you are:
Minimum Requirements:
- Experience in Product Management or Engineering, especially in platform/infrastructure or technology domain, product design, planning, development.
- 3+ years formal people management experience leading cross-functional teams.
- Proven ability to balance user needs and commercial strategy to drive product growth.
- Track record of taking products from ideation to delivery at global scale.
- Strong analytical skills, data-driven decision-making.
- Ability to manage tradeoffs between long-term vision and short-term growth.
- Success in fast-paced, cross-functional teams delivering rapid execution.
- Flexibility to work across global time zones.
- Exceptional English communication skills.
- Bachelor’s degree in Computer Science, Engineering, or related field.
Preferred Qualifications:
- Experience in hyper-growth startups, financial infrastructure, or technology domains.
- Direct experience building payments or money movement platforms, or working with card schemes at global scale.
- Robust understanding of money movement systems, ledgers, payments orchestration.
- Familiarity with risk management, compliance, and regulatory requirements in fintech or payments.
Location: Abu Dhabi, UAE; Remote
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
We are seeking an experienced, customer-obsessed
Principal Solutions Architect – Middle East
to lead technical engagement with Nebius' most strategic customers across the Gulf region. This is a senior, high-impact role focused on complex presales, large-scale ML workloads, and end-to-end customer solution ownership—from early discovery through production adoption.
As a Principal Solutions Architect, you will act as a trusted technical partner for executive stakeholders, AI/ML leaders, and platform teams. You will shape solution strategy, drive complex PoCs, influence product direction, and ensure successful adoption of Nebius AI Cloud for mission-critical AI/ML workloads across the Middle East.
The ideal candidate has extensive experience working with enterprise organizations in the Gulf region, understands the local technology landscape, and can effectively engage both business and technical stakeholders ideally in Arabic and English.
You're welcome to work remotely from the
Middle East
, with preference for candidates based in the
United Arab Emirates
.
Your responsibilities will include:
Own end-to-end technical presales and solution delivery for strategic and enterprise customers across the Middle East, from initial discovery through PoC, architecture design, and production readiness.
Serve as a trusted technical advisor to senior customer stakeholders (CTO, Head of ML, Platform Engineering, AI Infrastructure teams).
Lead complex ML/AI infrastructure and MLOps architectures, including large-scale training and inference workloads on GPU-accelerated cloud platforms.
Design, validate, and document reference architectures, Infrastructure-as-Code solutions, and best-practice deployment patterns using Nebius AI.
Drive and execute advanced PoCs, workshops, architecture reviews, and executive-level presentations to demonstrate value and accelerate customer adoption.
Build trusted relationships with customers across government, enterprise, AI-native, and digital-native organizations throughout the Gulf region.
Partner closely with Sales, Product, Engineering, and Support to represent real-world customer requirements and influence product roadmap decisions.
Act as a single point of technical authority for key customer scenarios across internal teams (Product, Support, Marketing).
Support strategic marketing initiatives including conferences, hackathons, webinars, customer case studies, and technical thought leadership across the Middle East.
Mentor and provide technical leadership to other Solutions Architects, helping raise the overall technical bar of the organization.
We expect you to have:
10+ years of experience in senior technical roles such as Solutions Architect, Systems Architect, ML Platform Engineer, or similar, with significant customer-facing responsibilities.
Deep expertise in cloud infrastructure, distributed systems, networking, storage, Kubernetes, containers, and GPU-accelerated computing.
Strong understanding of AI/ML infrastructure, MLOps platforms, model training, inference, and large-scale GPU environments.
Experience designing and delivering complex enterprise architectures and technical solutions for strategic customers.
Excellent communication and executive presentation skills, with the ability to translate complex technical concepts into business value.
Demonstrated experience leading technical discovery sessions, architecture workshops, and proof-of-concepts.
Experience collaborating with Sales, Product, Engineering, and Customer Success organizations.
Strong experience working with enterprise customers across the Gulf Cooperation Council (GCC), including the UAE, Saudi Arabia, Qatar, Kuwait, Bahrain, and Oman.
Strong understanding of the regional technology ecosystem, procurement processes, and customer landscape in the Gulf countries.
Native or fluent Arabic and professional English are required.
Ability to travel across the Middle East as required.
It will be an added bonus if you have:
Experience working with hyperscale cloud providers or AI infrastructure companies.
Experience supporting sovereign cloud, government, or regulated industry customers.
Knowledge of modern AI frameworks, distributed training technologies, and open-source AI tooling.
Public speaking experience at industry conferences or technical community events.
Existing relationships within the regional AI, cloud, or enterprise technology ecosystem.
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: Paris; Madrid; Amsterdam; Marseille; Munich; London
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral’s AI solutions, working closely with customers from strategic vision to production implementation.
This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver production solutions, and ensure smooth transitions from pre-sales to post-sales.
This role targets industrial enterprises, where you’ll partner with R&D and engineering leaders to integrate AI across their engineering workflows - from early design and exploration through production and operations. You’ll navigate enterprise-grade security, compliance (ITAR/EAR/export controls), and strict data privacy/IP requirements. Success means enabling autonomous AI-driven workflows, accelerating time-to-market, and driving breakthroughs in product performance and innovation.
WHAT YOU WILL DO
STRATEGIC DISCOVERY & VISION SETTING
- Lead executive-level workshops to identify business challenges and opportunities where Mistral’s AI can drive step-change improvements.
- Co-create AI adoption roadmaps with customers, articulating the “art of the possible” and a clear path to value.
- Partner with Account Executives to develop business cases, quantify ROI, and align solutions with customer objectives.
AI SOLUTION DESIGN & DEPLOYMENT
- Architect end-to-end AI solutions, integrating Mistral’s models and platform into customer workflows and technical infrastructure.
- Partner with the Applied AI team to design, prototype, and deploy AI solutions in production, ensuring scalability and impact.
- Own pilots and proofs-of-value, demonstrating the technology’s potential and paving the way for full-scale deployments.
VALUE REALIZATION & CUSTOMER SUCCESS
- Serve as a trusted advisor, guiding customer AI strategy and ensuring maximum value from Mistral solutions.
- Monitor and communicate outcome-driven KPIs with executive sponsors.
- Proactively identify expansion opportunities within accounts, building on initial wins to drive long-term partnerships.
CROSS-FUNCTIONAL COLLABORATION
- Act as the bridge between customers and Mistral’s internal teams, synthesizing feedback to influence product and research roadmaps.
- Create reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery excellence.
- Travel (~30–60%) to foster deep client relationships and support on-site deployment.
INDUSTRY / VERTICAL-SPECIFIC RESPONSIBILITIES (FILL ONLY IF VERTICAL-SPECIFIC)
- Translate industrial engineering challenges into AI use cases
- Design hybrid AI-physics pipelines and validate them against ground truth simulations.
- Navigate enterprise IT constraints: Work with customer security teams to deploy models in air-gapped environments, VPCs, or on-prem HPC clusters.
- Drive adoption with engineers: Conduct hands-on workshops to upskill teams on AI-assisted workflows
WHAT WE'RE LOOKING FOR
- 2+ years in a client-facing strategic and technical role (e.g., data science consulting, value engineering, technical sales)
- Deep understanding of computational mechanics, numerical methods (FEM/CFD/DEM), or multi-physics simulation.
- Familiarity with industry tools (e.g., Ansys, COMSOL, OpenFOAM, SimScale, or custom solvers)
- Degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering).
- Solid foundations in AI/ML/Data Science, with the credibility to advise technical and non-technical audiences.
- Hands-on experience building and deploying AI applications (Python, JavaScript, or similar).
- Strong business acumen and structured problem-solving skills.
- Executive presence and strong communication skills (VP / C-level stakeholders).
- Resilient, results-driven, and comfortable leading through influence in a collaborative environment.
NICE TO HAVE
- Experience with sales qualification frameworks (e.g., MEDDPICC).
- Experience with value-based selling.
- Prior experience in aerospace, automotive, or energy sectors
Why This Role Matters
You will play a pivotal role in shaping how enterprises adopt and deploy AI, ensuring Mistral’s solutions deliver measurable impact. By partnering with the Applied AI team, you’ll help turn strategic visions into production-ready solutions, making Mistral an indispensable partner for our customers.
HIRING PROCESS
• Talent Acquisition screening call
• 30min Hiring Manager Interview
• 45min Business Acumen Interview
• 60min Technical Deep Dive on Physics AI
• Panel (Home Prep & Restitution)
• 30min Value Talk
• Reference check
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.
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Paris; 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
УдалённоNo matter what, working hours must overlap with EST for at least 20 hours/week; Preferred time zone between UTC-8 and UTC+2
leadParis; 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
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ГибридMadrid, Spain; You lead by building, and you're demonstrably strong in production code, not only in design
United Kingdom, London
УдалённоheadHEAD OF PRODUCT | RELOCATION TO SINGAPORE | AIRWALLEX #relocation #singapore #fulltime #itjob #product https://teletype.in/@courierus/6oiTlnbNYxS; Flexibility to work across global time zones
middleAbu Dhabi, UAE; Remote; , with preference for candidates based in the
Paris; Madrid; Amsterdam; Marseille; Munich; 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